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HarryDn/Skyrim-ShareGPT | HarryDn | "2024-11-24T21:33:59Z" | 0 | 0 | [
"license:unknown",
"size_categories:1K<n<10K",
"format:json",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-24T21:33:36Z" | ---
license: unknown
---
|
Alis-Test/dws | Alis-Test | "2024-11-24T23:04:44Z" | 0 | 0 | [
"license:mit",
"size_categories:n<1K",
"format:text",
"modality:text",
"library:datasets",
"library:mlcroissant",
"region:us"
] | null | "2024-11-24T21:36:40Z" | ---
license: mit
---
|
bmben23/nuclearsentiment | bmben23 | "2024-11-24T21:42:39Z" | 0 | 0 | [
"license:mit",
"region:us"
] | null | "2024-11-24T21:40:20Z" | ---
license: mit
---
|
fumanji420/dataset_test | fumanji420 | "2024-11-24T21:40:24Z" | 0 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-24T21:40:22Z" | ---
dataset_info:
features:
- name: messages
list:
- name: content
dtype: string
- name: role
dtype: string
splits:
- name: train
num_bytes: 108000
num_examples: 2000
download_size: 2009
dataset_size: 108000
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
aaaimg2gps/updated | aaaimg2gps | "2024-11-25T00:01:19Z" | 0 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:image",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-24T21:42:49Z" | ---
dataset_info:
features:
- name: image
dtype: image
- name: Latitude
dtype: float64
- name: Longitude
dtype: float64
splits:
- name: train
num_bytes: 31020629768.288
num_examples: 4148
download_size: 20425448748
dataset_size: 31020629768.288
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
ieuniversity/group_20_submission | ieuniversity | "2024-11-24T21:46:24Z" | 0 | 0 | [
"size_categories:10K<n<100K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-24T21:46:20Z" | ---
dataset_info:
features:
- name: ID
dtype: string
- name: CLASE
dtype: string
splits:
- name: train
num_bytes: 864304
num_examples: 25808
download_size: 504642
dataset_size: 864304
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
Mateusz1017/company_reports_final_2 | Mateusz1017 | "2024-11-24T22:52:05Z" | 0 | 0 | [
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-24T21:46:40Z" | ---
dataset_info:
features:
- name: cik
dtype: string
- name: year
dtype: string
- name: section_1
dtype: string
- name: company_name
dtype: string
- name: sic_code
dtype: string
- name: input_ids
sequence: int64
- name: ticker
sequence: string
- name: returns
dtype: float64
- name: logged_monthly_returns_matrix
sequence: float64
- name: __index_level_0__
dtype: int64
- name: input_ids_length
dtype: int64
splits:
- name: train
num_bytes: 2348759102
num_examples: 27888
download_size: 765052403
dataset_size: 2348759102
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
ahmedboutar/kenya-mapping-for-economic-development | ahmedboutar | "2024-11-24T22:22:00Z" | 0 | 0 | [
"license:cc-by-4.0",
"region:us"
] | null | "2024-11-24T21:49:23Z" | ---
license: cc-by-4.0
---
|
gswamy/pythia-1.4B-tldr-ws-iter-1 | gswamy | "2024-11-24T21:59:25Z" | 0 | 0 | [
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-24T21:58:01Z" | ---
dataset_info:
features:
- name: info
struct:
- name: id
dtype: string
- name: post
dtype: string
- name: title
dtype: string
- name: subreddit
dtype: string
- name: site
dtype: string
- name: article
dtype: string
- name: summaries
list:
- name: text
dtype: string
- name: policy
dtype: string
- name: note
dtype: string
- name: choice
dtype: int32
- name: worker
dtype: string
- name: batch
dtype: string
- name: split
dtype: string
- name: extra
struct:
- name: confidence
dtype: int32
- name: query_token
sequence: int64
- name: query
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- name: response0
dtype: string
- name: response0_token
sequence: int64
- name: response0_token_len
dtype: int64
- name: response0_policy
dtype: string
- name: query_response0
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- name: query_response0_token
sequence: int64
- name: query_response0_token_len
dtype: int64
- name: query_response0_token_response_label
sequence: int64
- name: response1
dtype: string
- name: response1_token
sequence: int64
- name: response1_token_len
dtype: int64
- name: response1_policy
dtype: string
- name: query_response1
dtype: string
- name: query_response1_token
sequence: int64
- name: query_response1_token_len
dtype: int64
- name: query_response1_token_response_label
sequence: int64
- name: query_token_len
dtype: int64
- name: policies
dtype: string
- name: iter_1_query_response_0
sequence: int64
- name: iter_1_mask_0
sequence: int64
- name: iter_1_decoded_0
dtype: string
- name: iter_1_reward_0
dtype: float64
- name: iter_1_query_response_1
sequence: int64
- name: iter_1_mask_1
sequence: int64
- name: iter_1_decoded_1
dtype: string
- name: iter_1_reward_1
dtype: float64
splits:
- name: train
num_bytes: 5304502911
num_examples: 92858
download_size: 277228240
dataset_size: 5304502911
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
neoneye/simon-arc-combine-v179 | neoneye | "2024-11-24T22:02:19Z" | 0 | 0 | [
"task_categories:image-to-text",
"task_categories:text-to-image",
"language:en",
"license:mit",
"size_categories:1K<n<10K",
"format:json",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | [
"image-to-text",
"text-to-image"
] | "2024-11-24T22:01:32Z" | ---
license: mit
task_categories:
- image-to-text
- text-to-image
language:
- en
pretty_name: simons ARC (abstraction & reasoning corpus) combined datasets version 179
size_categories:
- 1K<n<10K
configs:
- config_name: default
data_files:
- split: train
path: data.jsonl
---
# Version 1
A combination of multiple datasets.
Datasets: `dataset_solve_color.jsonl`, `dataset_solve_rotate.jsonl`, `dataset_solve_translate.jsonl`.
# Version 2
Datasets: `dataset_solve_color.jsonl`, `dataset_solve_rotate.jsonl`, `dataset_solve_translate.jsonl`.
# Version 3
Datasets: `dataset_solve_color.jsonl`, `dataset_solve_rotate.jsonl`, `dataset_solve_translate.jsonl`.
# Version 4
Added a shared dataset name for all these datasets: `SIMON-SOLVE-V1`. There may be higher version numbers in the future.
My hypothesis: Having a version number in the dataset name, it may be easier to unlearn incorrect training data.
Datasets: `dataset_solve_color.jsonl`, `dataset_solve_rotate.jsonl`, `dataset_solve_translate.jsonl`.
# Version 5
Different random seed.
# Version 6
Using `SIMON-SOLVE-V1` everywhere. Remove the `SIMON-SOLVE-COLOR`, `SIMON-SOLVE-ROTATE`, `SIMON-SOLVE-TRANSLATE`.
# Version 7
Using `SIMON-SOLVE-V1` everywhere.
# Version 8
Same settings. Different seed as usual.
# Version 9
Switching from context length 256 to context length 512.
Increasing the image sizes so the prompt length stays below 512.
`dataset_solve_color`, image size: 1-13.
`dataset_solve_rotate`, image size: 1-9.
`dataset_solve_translate`, image size: 3-9.
# Version 10
Same settings. Different seed as usual.
# Version 11
Same settings. Different seed as usual.
# Version 12
Added 1 more pair to the examples. Now it's 2-4 examples. Previously it was 2-3 examples.
# Version 13
Same settings. Different seed as usual.
# Version 14
Same settings. Different seed as usual.
# Version 15
Same settings. Different seed as usual.
# Version 16
Added `Predict the output image.`
Disabled prediction of rows.
Disabled prediction of height.
# Verison 17
Same settings. Different seed as usual.
Using the `DatasetGenerator` and the `DatasetItemListBuilder`.
# Verison 18
Added datasets.
Datasets:
- `dataset_solve_color.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_cellular_automaton.jsonl` - added.
- `dataset_shape.jsonl` - added.
# Verison 19
Added dataset.
Datasets:
- `dataset_solve_color.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_cellular_automaton.jsonl`
- `dataset_shape.jsonl`
- `dataset_image.jsonl` - added.
# Verison 20
Bigger images.
# Verison 21
Added dataset. Disabled some datasets.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_shape.jsonl`
- `dataset_mass.jsonl` - added.
# Verison 22
Added dataset.
Datasets:
- `dataset_solve_color.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_cellular_automaton.jsonl`
- `dataset_shape.jsonl`
- `dataset_image.jsonl`
- `dataset_mass.jsonl`
- `dataset_histogram.jsonl` - added.
Bigger image sizes.
Number of rows=200k. Was previously 100k rows.
# Verison 23
`datset_mass.jsonl`. increased to `max_mass=5`.
# Verison 24
`datset_mass.jsonl`. increased to `max_mass=6`.
# Verison 25
different seed.
# Verison 26
`datset_mass.jsonl`. increased to `max_mass=25`.
different seed.
# Verison 27
different seed.
# Verison 28
different seed.
# Verison 29
different seed.
# Verison 30
different seed.
# Verison 31
different seed.
# Verison 32
different seed.
# Verison 33
Disabled some dataset.
Datasets:
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_mass.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_color.jsonl` - disabled
- `dataset_solve_rotate.jsonl` - disabled
- `dataset_solve_translate.jsonl` - disabled
- `dataset_cellular_automaton.jsonl`
# Verison 34
Enabled all datasets.
# Version 35
Regenerated all datasets with new random seeds.
# Verison 36
Added dataset `dataset_scale.jsonl`.
Disabled some dataset.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl` - disabled
- `dataset_solve_color.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_translate.jsonl`
# Verison 37
Enabled all datasets
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_translate.jsonl`
# Verison 38
Added dataset
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_symmetry.jsonl` - added
# Version 39
Regenerated all datasets with new random seeds.
# Version 40
Added dataset
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl` - added
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_symmetry.jsonl`
# Version 41
Regenerated all datasets with new random seeds.
# Version 42
Added dataset. Disabled some datasets.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl` - added
- `dataset_solve_translate.jsonl`
- `dataset_symmetry.jsonl` - disabled
# Version 43
Enabled all datasets.
# Version 44
Regenerated all datasets with new random seeds.
# Version 45
Extended the `dataset_shape.jsonl` with these new `PixelConnectivity` types: `CORNER4`, `LR2`, `TB2`, `TLBR2`, `TRBL2`.
Hopefully it makes the model better at making sense of diagonal structures, which is something it's terrible at at the moment.
# Version 46
Regenerated all datasets with new random seeds.
# Version 47
Added dataset. Disabled some datasets.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_color.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl` - added
- `dataset_solve_translate.jsonl`
- `dataset_symmetry.jsonl`
# Version 48
Enabled all datasets.
# Version 49
Bigger `max_mass`. From 6 to 8.
# Version 50
Added dataset.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl` - added
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_symmetry.jsonl`
# Version 51
Regenerated all datasets with new random seeds.
# Version 52
Regenerated all datasets with new random seeds.
# Version 53
Regenerated all datasets with new random seeds.
# Version 54
Added dataset.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_erotion.jsonl` - added
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_symmetry.jsonl`
# Version 55
Added dataset. Disabled most datasets.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl` - added
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_color.jsonl` - disabled
- `dataset_solve_compress.jsonl` - disabled
- `dataset_solve_rotate.jsonl` - disabled
- `dataset_solve_scale.jsonl` - disabled
- `dataset_solve_symmetry.jsonl` - disabled
- `dataset_solve_translate.jsonl` - disabled
- `dataset_symmetry.jsonl` - disabled
# Version 56
Enabled all datasets.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_symmetry.jsonl`
# Version 57
Regenerated all datasets with new random seeds.
# Version 58
Disabled most datasets.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_symmetry.jsonl` - disabled
# Version 59
Added new datasets.
Disabled most datasets.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_erosion.jsonl` - added
- `dataset_solve_fractal.jsonl` - added
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_symmetry.jsonl` - disabled
# Version 60
Incremented random seed
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_symmetry.jsonl` - disabled
# Version 61
Enabled all datasets.
More padding inside the `dataset_solve_fractal.jsonl`.
# Version 62
All datasets still enabled.
Turning up the parameter for `dataset_solve_fractal.jsonl`.
scale_input from 3 to 4.
scale_output from 3 to 4.
max_image_size from 3 to 4.
max_pad_count from 4 to 5.
# Version 63
Disabled several datasets.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl`
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_color.jsonl` - disabled
- `dataset_solve_compress.jsonl` - disabled
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_rotate.jsonl` - disabled
- `dataset_solve_scale.jsonl` - disabled
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl` - disabled
- `dataset_symmetry.jsonl` - disabled
# Version 64
Added dataset.
Increased the number of rows in the jsonl file from 200k to 300k.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_outline.jsonl` - added
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_symmetry.jsonl`
# Version 65
random seed.
# Version 66
Disabled some datasets.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl`
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl`
- `dataset_solve_color.jsonl` - disabled
- `dataset_solve_compress.jsonl` - disabled
- `dataset_solve_erosion.jsonl` - disabled
- `dataset_solve_fractal.jsonl` - disabled
- `dataset_solve_outline.jsonl` - disabled
- `dataset_solve_rotate.jsonl` - disabled
- `dataset_solve_scale.jsonl` - disabled
- `dataset_solve_symmetry.jsonl` - disabled
- `dataset_solve_translate.jsonl` - disabled
- `dataset_symmetry.jsonl` - disabled
# Version 67
Disabled some datasets.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_color.jsonl` - enabled
- `dataset_solve_compress.jsonl` - enabled
- `dataset_solve_erosion.jsonl` - enabled
- `dataset_solve_fractal.jsonl` - enabled
- `dataset_solve_outline.jsonl` - enabled
- `dataset_solve_rotate.jsonl` - enabled
- `dataset_solve_scale.jsonl` - enabled
- `dataset_solve_symmetry.jsonl` - enabled
- `dataset_solve_translate.jsonl` - enabled
- `dataset_symmetry.jsonl`
# Version 68
Enabled all datasets.
# Version 69
Different random seed.
# Version 70
Different random seed.
# Version 71
Different random seed.
# Version 72
Different random seed.
# Version 73
Different random seed.
# Version 74
Major update to `dataset_solve_symmetry.jsonl`.
# Version 75
Different random seed.
# Version 76
Disabled some datasets.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_symmetry.jsonl` - disabled
# Version 77
Enabled all datasets.
# Version 78
Major update to `dataset_solve_symmetry.jsonl`.
# Version 79
Different random seed.
# Version 80
Different random seed.
# Version 81
Different random seed.
# Version 82
Added dataset.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl` - added
- `dataset_symmetry.jsonl`
# Version 83
Disabled datasets that doesn't solve ARC puzzles.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl` - disabled
# Version 84
Added dataset `dataset_solve_grid.jsonl`.
Disabled datasets that doesn't solve ARC puzzles.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl` - added
- `dataset_solve_outline.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl` - disabled
# Version 85
Disabled datasets that doesn't solve ARC puzzles.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl` - disabled
# Version 86
Enabled all datasets.
# Version 87
Disabled datasets that doesn't solve ARC puzzles.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl` - disabled
# Version 88
Added dataset `dataset_solve_probecolor.jsonl` with all directions enabled.
Disabled datasets that doesn't solve ARC puzzles.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl` - disabled
# Version 89
Enabled all datasets.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl`
# Version 90
Disabled some of the datasets.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_color.jsonl` - disabled
- `dataset_solve_compress.jsonl`
- `dataset_solve_erosion.jsonl` - disabled
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl` - disabled
- `dataset_solve_outline.jsonl` - disabled
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl` - disabled
- `dataset_solve_zindex.jsonl` - disabled
- `dataset_symmetry.jsonl` - disabled
# Version 91
Added dataset.
Enabled all datasets.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_mass.jsonl` - added
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl`
# Version 92
Different random seed.
# Version 93
Added dataset.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_bool.jsonl` - added
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_mass.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl`
# Version 94
Added dataset.
Disabled datasets that doesn't solve ARC tasks.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_bool.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_edge.jsonl` - added
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_mass.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl` - disabled
# Version 95
Added dataset.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_bool.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_edge.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_half.jsonl` - added
- `dataset_solve_mass.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl`
# Version 96
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_bool.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_edge.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_half.jsonl`
- `dataset_solve_mass.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl` - major update.
- `dataset_symmetry.jsonl`
# Version 97
Disabled the first half of the datasets.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_bool.jsonl` - disabled
- `dataset_solve_color.jsonl` - disabled
- `dataset_solve_compress.jsonl` - disabled
- `dataset_solve_edge.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_half.jsonl`
- `dataset_solve_mass.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl`
# Version 98
Disabled the last half of the datasets.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_bool.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_edge.jsonl` - disabled
- `dataset_solve_erosion.jsonl` - disabled
- `dataset_solve_fractal.jsonl` - disabled
- `dataset_solve_grid.jsonl` - disabled
- `dataset_solve_half.jsonl` - disabled
- `dataset_solve_mass.jsonl` - disabled
- `dataset_solve_outline.jsonl` - disabled
- `dataset_solve_probecolor.jsonl` - disabled
- `dataset_solve_rotate.jsonl` - disabled
- `dataset_solve_scale.jsonl` - disabled
- `dataset_solve_symmetry.jsonl` - disabled
- `dataset_solve_translate.jsonl` - disabled
- `dataset_solve_zindex.jsonl` - disabled
- `dataset_symmetry.jsonl` - disabled
# Version 99
Disabled the 1/4th of the datasets.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_bool.jsonl` - disabled
- `dataset_solve_color.jsonl` - disabled
- `dataset_solve_compress.jsonl` - disabled
- `dataset_solve_edge.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_half.jsonl`
- `dataset_solve_mass.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl` - disabled
- `dataset_solve_rotate.jsonl` - disabled
- `dataset_solve_scale.jsonl` - disabled
- `dataset_solve_symmetry.jsonl` - disabled
- `dataset_solve_translate.jsonl` - disabled
- `dataset_solve_zindex.jsonl` - disabled
- `dataset_symmetry.jsonl` - disabled
# Version 100
Added dataset.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_bool.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_edge.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_half.jsonl`
- `dataset_solve_mask.jsonl` - added
- `dataset_solve_mass.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl`
# Version 101
Disabled the non solving datasets.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_bool.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_edge.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_half.jsonl`
- `dataset_solve_mask.jsonl`
- `dataset_solve_mass.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl` - disabled
# Version 102
Added dataset
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_bool.jsonl`
- `dataset_solve_boundingbox.jsonl` - added
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_edge.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_half.jsonl`
- `dataset_solve_mask.jsonl`
- `dataset_solve_mass.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl`
# Version 103
Different random seed.
# Version 104
Disabled the non solving datasets.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_bool.jsonl`
- `dataset_solve_boundingbox.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_edge.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_half.jsonl`
- `dataset_solve_mask.jsonl`
- `dataset_solve_mass.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl` - disabled
# Version 105
Major update to `dataset_solve_scale.jsonl` with scaling down noisy images.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_bool.jsonl`
- `dataset_solve_boundingbox.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_edge.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_half.jsonl`
- `dataset_solve_mask.jsonl`
- `dataset_solve_mass.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl` - scale down noisy images
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl`
# Version 106
Different random seed.
# Version 107
Added dataset
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_bool.jsonl`
- `dataset_solve_boundingbox.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_edge.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_half.jsonl`
- `dataset_solve_mask.jsonl`
- `dataset_solve_mass.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_ray.jsonl` - added
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl`
# Version 108
Added dataset
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_bool.jsonl`
- `dataset_solve_boundingbox.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_edge.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_flip.jsonl` - added
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_half.jsonl`
- `dataset_solve_mask.jsonl`
- `dataset_solve_mass.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_ray.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl`
# Version 109
Different random seed.
# Version 110
Added dataset
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_bool.jsonl`
- `dataset_solve_boundingbox.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_edge.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_flip.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_half.jsonl`
- `dataset_solve_halfplane.jsonl` - added
- `dataset_solve_mask.jsonl`
- `dataset_solve_mass.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_ray.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl`
# Version 111
Different random seed.
# Version 112
Different random seed.
# Version 113
Different random seed.
# Version 114
Major update to the `dataset_solve-mass.jsonl`, so it now includes `mass_compare_adjacent_rows` and `mass_compare_adjacent_columns`.
# Version 115
Added dataset
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_bool.jsonl`
- `dataset_solve_boundingbox.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_edge.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_flip.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_gravity.jsonl` - added
- `dataset_solve_grid.jsonl`
- `dataset_solve_half.jsonl`
- `dataset_solve_halfplane.jsonl`
- `dataset_solve_mask.jsonl`
- `dataset_solve_mass.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_ray.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl`
# Version 116
Hypothesis. What if I train with a smaller dataset, will it converge faster?
Reduced the number of rows in this dataset from 300k rows to 10k rows.
# Version 117
Interesting, 10k rows seems to work fine with the model training.
Picked new random rows.
# Version 118
Still going with 10k rows.
Picked new random rows.
# Version 119
Still going with 10k rows.
Picked new random rows.
# Version 120
Switched to 20k rows.
# Version 121
Still going with 20k rows.
Picked new random rows.
# Version 122
20k rows.
Added `dataset_solve_reverse.jsonl`.
# Version 123
Doubled the number of rows to 40k rows.
# Version 124
Set row count to 100k rows.
Major update to `dataset_solve_gravity.jsonl`.
# Version 125
Row count: 100k rows.
# Version 126
Row count: 20k rows.
Only these datasets are enabled:
```txt
dataset_solve_bool.jsonl
dataset_solve_boundingbox.jsonl
dataset_solve_color.jsonl
dataset_solve_compress.jsonl
dataset_solve_edge.jsonl
dataset_solve_erosion.jsonl
dataset_solve_flip.jsonl
dataset_solve_fractal.jsonl
dataset_solve_gravity.jsonl
dataset_solve_grid.jsonl
dataset_solve_half.jsonl
dataset_solve_halfplane.jsonl
dataset_solve_mask.jsonl
dataset_solve_mass.jsonl
dataset_solve_outline.jsonl
dataset_solve_probecolor.jsonl
dataset_solve_ray.jsonl
dataset_solve_reverse.jsonl
dataset_solve_rotate.jsonl
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_solve_zindex.jsonl
```
# Version 127
Row count: 20k rows.
Only these datasets are enabled:
```txt
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_solve_zindex.jsonl
```
# Version 128
Row count: 20k rows.
Only these datasets are enabled:
```txt
dataset_solve_probecolor.jsonl
dataset_solve_ray.jsonl
dataset_solve_reverse.jsonl
dataset_solve_rotate.jsonl
```
# Version 129
Row count: 20k rows.
Only these datasets are enabled:
```txt
dataset_solve_gravity.jsonl
dataset_solve_grid.jsonl
dataset_solve_half.jsonl
dataset_solve_halfplane.jsonl
dataset_solve_mask.jsonl
dataset_solve_mass.jsonl
dataset_solve_outline.jsonl
```
# Version 130
Row count: 20k rows.
Only these datasets are enabled:
```txt
dataset_solve_bool.jsonl
dataset_solve_boundingbox.jsonl
dataset_solve_color.jsonl
dataset_solve_compress.jsonl
dataset_solve_edge.jsonl
dataset_solve_erosion.jsonl
dataset_solve_flip.jsonl
dataset_solve_fractal.jsonl
```
# Version 131
Switched back to 300k rows.
Enabled all the datasets.
# Version 132
Random seed.
# Version 133
Removed the rows that are longer than what can be fitted inside a 512 context length.
# Version 134
Random seed.
# Version 135
Random seed.
# Version 136
Major update to the `dataset_solve_gravity.jsonl` file.
# Version 137
Added dataset `dataset_solve_skew.jsonl`.
# Version 138
Disabled several datasets.
```txt
# 'dataset_cellular_automaton.jsonl',
# 'dataset_dilation.jsonl',
# 'dataset_erosion.jsonl',
# 'dataset_histogram.jsonl',
# 'dataset_image.jsonl',
# 'dataset_image_pair.jsonl',
# 'dataset_mass.jsonl',
# 'dataset_scale.jsonl',
# 'dataset_shape.jsonl',
# 'dataset_solve_bool.jsonl',
'dataset_solve_boundingbox.jsonl',
'dataset_solve_color.jsonl',
'dataset_solve_compress.jsonl',
'dataset_solve_edge.jsonl',
'dataset_solve_erosion.jsonl',
'dataset_solve_flip.jsonl',
'dataset_solve_fractal.jsonl',
'dataset_solve_gravity.jsonl',
'dataset_solve_grid.jsonl',
'dataset_solve_half.jsonl',
# 'dataset_solve_halfplane.jsonl',
'dataset_solve_mask.jsonl',
'dataset_solve_mass.jsonl',
'dataset_solve_outline.jsonl',
'dataset_solve_probecolor.jsonl',
# 'dataset_solve_ray.jsonl',
# 'dataset_solve_reverse.jsonl',
'dataset_solve_rotate.jsonl',
'dataset_solve_scale.jsonl',
# 'dataset_solve_skew.jsonl',
'dataset_solve_symmetry.jsonl',
'dataset_solve_translate.jsonl',
'dataset_solve_zindex.jsonl',
# 'dataset_symmetry.jsonl',
```
# Version 139
Disabled several datasets.
```txt
'dataset_cellular_automaton.jsonl',
'dataset_dilation.jsonl',
'dataset_erosion.jsonl',
'dataset_histogram.jsonl',
'dataset_image.jsonl',
'dataset_image_pair.jsonl',
'dataset_mass.jsonl',
'dataset_scale.jsonl',
'dataset_shape.jsonl',
'dataset_solve_bool.jsonl',
# 'dataset_solve_boundingbox.jsonl',
# 'dataset_solve_color.jsonl',
# 'dataset_solve_compress.jsonl',
# 'dataset_solve_edge.jsonl',
# 'dataset_solve_erosion.jsonl',
# 'dataset_solve_flip.jsonl',
# 'dataset_solve_fractal.jsonl',
# 'dataset_solve_gravity.jsonl',
# 'dataset_solve_grid.jsonl',
# 'dataset_solve_half.jsonl',
'dataset_solve_halfplane.jsonl',
# 'dataset_solve_mask.jsonl',
# 'dataset_solve_mass.jsonl',
# 'dataset_solve_outline.jsonl',
# 'dataset_solve_probecolor.jsonl',
'dataset_solve_ray.jsonl',
'dataset_solve_reverse.jsonl',
# 'dataset_solve_rotate.jsonl',
# 'dataset_solve_scale.jsonl',
'dataset_solve_skew.jsonl',
# 'dataset_solve_symmetry.jsonl',
# 'dataset_solve_translate.jsonl',
# 'dataset_solve_zindex.jsonl',
'dataset_symmetry.jsonl',
```
# Version 140
Enabled all datasets.
Added new dataset: `dataset_solve_cross.jsonl`.
# Version 141
Switched to 30k rows.
Disabled several datasets.
```txt
# 'dataset_cellular_automaton.jsonl',
# 'dataset_dilation.jsonl',
# 'dataset_erosion.jsonl',
# 'dataset_histogram.jsonl',
# 'dataset_image.jsonl',
# 'dataset_image_pair.jsonl',
# 'dataset_mass.jsonl',
# 'dataset_scale.jsonl',
# 'dataset_shape.jsonl',
# 'dataset_solve_bool.jsonl',
'dataset_solve_boundingbox.jsonl',
'dataset_solve_color.jsonl',
'dataset_solve_compress.jsonl',
# 'dataset_solve_cross.jsonl',
'dataset_solve_edge.jsonl',
'dataset_solve_erosion.jsonl',
'dataset_solve_flip.jsonl',
'dataset_solve_fractal.jsonl',
# 'dataset_solve_gravity.jsonl',
'dataset_solve_grid.jsonl',
'dataset_solve_half.jsonl',
# 'dataset_solve_halfplane.jsonl',
'dataset_solve_mask.jsonl',
'dataset_solve_mass.jsonl',
'dataset_solve_outline.jsonl',
'dataset_solve_probecolor.jsonl',
'dataset_solve_ray.jsonl',
# 'dataset_solve_reverse.jsonl',
'dataset_solve_rotate.jsonl',
'dataset_solve_scale.jsonl',
'dataset_solve_skew.jsonl',
'dataset_solve_symmetry.jsonl',
'dataset_solve_translate.jsonl',
# 'dataset_solve_zindex.jsonl',
# 'dataset_symmetry.jsonl',
```
# Version 142
Switched to 300k rows.
Enabled all datasets.
Switched from 512 context to 1024 context.
# Version 143
Bigger images in `dataset_solve_cross.jsonl` and in `dataset_solve_mass.jsonl`.
# Version 144
Major update to `dataset_solve_symmetry.jsonl`.
# Version 145
Added `dataset_solve_span.jsonl`.
# Version 146
Extended `dataset_solve_span.jsonl` with `generate_task_with_template_lines`.
# Version 147
Extended `dataset_solve_span.jsonl` with `generate_task_with_alternate`.
# Version 148
Added `dataset_solve_count.jsonl`.
# Version 149
Randomized.
# Version 150
Upgraded context length for several datasets from 512 to 1024.
# Version 151
Randomized.
# Version 152
Randomized.
# Version 153
Extended `dataset_solve_mask.jsonl` with `generate_task_repair_rectangle_and_crop`.
# Version 154
Extended `dataset_solve_color.jsonl` with `generate_task_replace_color`.
# Version 155
Major update to datasets in the range from `dataset_solve_axxx.jsonl` to `dataset_solve_mask.jsonl`.
Now there is an earlier prediction for the output that is to be predicted. It may contain a hint, or it may be garbage that is to be ignored.
# Version 156
Only 2000 rows.
Only these datasets.
'dataset_cellular_automaton.jsonl',
'dataset_dilation.jsonl',
'dataset_erosion.jsonl',
'dataset_histogram.jsonl',
'dataset_image.jsonl',
'dataset_image_pair.jsonl',
'dataset_mass.jsonl',
'dataset_scale.jsonl',
'dataset_shape.jsonl',
'dataset_symmetry.jsonl',
# Version 157
Only these datasets.
- 'dataset_solve_bool.jsonl',
- 'dataset_solve_boundingbox.jsonl',
- 'dataset_solve_color.jsonl',
- 'dataset_solve_compress.jsonl',
- 'dataset_solve_count.jsonl',
- 'dataset_solve_cross.jsonl',
- 'dataset_solve_edge.jsonl',
- 'dataset_solve_erosion.jsonl',
- 'dataset_solve_flip.jsonl',
- 'dataset_solve_fractal.jsonl',
- 'dataset_solve_gravity.jsonl',
- 'dataset_solve_grid.jsonl',
- 'dataset_solve_half.jsonl',
- 'dataset_solve_halfplane.jsonl',
- 'dataset_solve_mask.jsonl',
- 'dataset_solve_mass.jsonl',
- 'dataset_solve_outline.jsonl',
- 'dataset_solve_probecolor.jsonl',
- 'dataset_solve_ray.jsonl',
- 'dataset_solve_reverse.jsonl',
- 'dataset_solve_rotate.jsonl',
- 'dataset_solve_scale.jsonl',
- 'dataset_solve_span.jsonl',
- 'dataset_solve_skew.jsonl',
- 'dataset_solve_symmetry.jsonl',
- 'dataset_solve_translate.jsonl',
- 'dataset_solve_zindex.jsonl',
# Version 158
Only these datasets.
- `dataset_solve_boundingbox.jsonl`
- `dataset_solve_rectangle.jsonl`
# Versin 159
Enabled all the `_solve_` datasets.
# Version 160
Regenerated all the `_solve_` datasets with new seed.
# Version 161
Regenerated all the `_solve_` datasets with new seed.
# Version 162
Replaced RLE compressed response with raw pixel response.
# Version 163
Added more generators
- DatasetSolveCount
- DatasetSolveCross
- DatasetSolveEdge
- DatasetSolveErosion
- DatasetSolveFlip
- DatasetSolveFractal
# Version 164
Increased row count from 1000 to 2000.
# Version 165
Added more generators.
# Version 166
Added more generators.
# Version 167
Added more generators.
# Version 168
Added more generators.
# Version 169
Generated data.
# Version 170
Generated data.
# Version 171
Generated data.
Increased output context length from 256 to 512.
# Version 172
Generated data.
# Version 173
Generated data.
# Version 174
Generated data.
# Version 175
Generated data.
# Version 176
Generated data.
# Version 177
Increased the number of rows from 2000 to 4000.
Generated data.
# Version 178
Generated data.
# Version 179
Generated data.
|
HanxuHU/gemma-2-9b-it-ultrafeedback-annotate-safe-judge | HanxuHU | "2024-11-24T22:09:36Z" | 0 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-24T22:09:32Z" | ---
dataset_info:
features:
- name: prompt_id
dtype: string
- name: prompt
dtype: string
- name: all_generated_responses
sequence: string
- name: scores
sequence: float64
- name: chosen
list:
- name: content
dtype: string
- name: role
dtype: string
- name: rejected
list:
- name: content
dtype: string
- name: role
dtype: string
splits:
- name: test
num_bytes: 28633857
num_examples: 1962
download_size: 13281487
dataset_size: 28633857
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
---
|
HanxuHU/gemma-2-9b-it-ultrafeedback-annotate-honesty-judge | HanxuHU | "2024-11-24T22:10:28Z" | 0 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-24T22:10:23Z" | ---
dataset_info:
features:
- name: prompt_id
dtype: string
- name: prompt
dtype: string
- name: all_generated_responses
sequence: string
- name: scores
sequence: float64
- name: chosen
list:
- name: content
dtype: string
- name: role
dtype: string
- name: rejected
list:
- name: content
dtype: string
- name: role
dtype: string
splits:
- name: test
num_bytes: 28633857
num_examples: 1962
download_size: 13281487
dataset_size: 28633857
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
---
|
Honi086/voz_jacklins | Honi086 | "2024-11-24T22:18:38Z" | 0 | 0 | [
"license:openrail",
"size_categories:n<1K",
"format:audiofolder",
"modality:audio",
"library:datasets",
"library:mlcroissant",
"region:us"
] | null | "2024-11-24T22:18:00Z" | ---
license: openrail
---
|
Honi086/voz_cesar | Honi086 | "2024-11-24T22:19:28Z" | 0 | 0 | [
"license:openrail",
"size_categories:n<1K",
"format:audiofolder",
"modality:audio",
"library:datasets",
"library:mlcroissant",
"region:us"
] | null | "2024-11-24T22:18:54Z" | ---
license: openrail
---
|
HanxuHU/gemma-2-9b-it-ultrafeedback-annotate-truth-judge | HanxuHU | "2024-11-24T22:22:20Z" | 0 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-24T22:22:15Z" | ---
dataset_info:
features:
- name: prompt_id
dtype: string
- name: prompt
dtype: string
- name: all_generated_responses
sequence: string
- name: scores
sequence: float64
- name: chosen
list:
- name: content
dtype: string
- name: role
dtype: string
- name: rejected
list:
- name: content
dtype: string
- name: role
dtype: string
splits:
- name: test
num_bytes: 28633857
num_examples: 1962
download_size: 13281487
dataset_size: 28633857
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
---
|
SUNUNG/sogangmot_learning_data | SUNUNG | "2024-11-24T22:24:30Z" | 0 | 0 | [
"size_categories:10K<n<100K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-24T22:24:26Z" | ---
dataset_info:
features:
- name: input_data
dtype: string
- name: answer
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 9916962
num_examples: 74184
download_size: 2798598
dataset_size: 9916962
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
Joshfcooper/ghostbuster-essay-dataset | Joshfcooper | "2024-11-24T22:28:46Z" | 0 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-24T22:27:16Z" | ---
dataset_info:
features:
- name: text
dtype: string
- name: generated
dtype: int64
- name: model
dtype: string
- name: file_number
dtype: string
splits:
- name: train
num_bytes: 26799713
num_examples: 8000
download_size: 13891042
dataset_size: 26799713
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
Joshfcooper/ghostbuster-essay-datasetV2 | Joshfcooper | "2024-11-24T22:29:38Z" | 0 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-24T22:29:33Z" | ---
dataset_info:
features:
- name: text
dtype: string
- name: generated
dtype: int64
- name: model
dtype: string
- name: file_number
dtype: string
splits:
- name: train
num_bytes: 26799713
num_examples: 8000
download_size: 13891042
dataset_size: 26799713
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
JyoP/minimal-arithmetic-expressions | JyoP | "2024-11-24T22:37:36Z" | 0 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-24T22:35:00Z" | ---
dataset_info:
features:
- name: expression
dtype: string
- name: result
dtype: float64
splits:
- name: train
num_bytes: 14976
num_examples: 800
- name: test
num_bytes: 3727
num_examples: 200
download_size: 12663
dataset_size: 18703
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
|
yurymota/Recording | yurymota | "2024-11-24T22:38:09Z" | 0 | 0 | [
"license:openrail",
"region:us"
] | null | "2024-11-24T22:37:07Z" | ---
license: openrail
---
|
DLI-Lab/train-self-refine-dist | DLI-Lab | "2024-11-24T22:42:43Z" | 0 | 0 | [
"size_categories:10K<n<100K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-24T22:42:37Z" | ---
dataset_info:
features:
- name: messages
list:
- name: content
dtype: string
- name: role
dtype: string
splits:
- name: train
num_bytes: 53189622
num_examples: 12502
download_size: 18270650
dataset_size: 53189622
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
bezoz420/AnnaRalphs | bezoz420 | "2024-11-24T22:45:34Z" | 0 | 0 | [
"license:unknown",
"size_categories:1K<n<10K",
"format:imagefolder",
"modality:image",
"library:datasets",
"library:mlcroissant",
"region:us"
] | null | "2024-11-24T22:45:06Z" | ---
license: unknown
---
|
GeiserX/jworg-jwpubs | GeiserX | "2024-11-24T22:58:05Z" | 0 | 0 | [
"license:apache-2.0",
"size_categories:10K<n<100K",
"format:json",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-24T22:50:46Z" | ---
license: apache-2.0
---
JWPub files from jw.org extracted with https://github.com/GeiserX/jw-media-download and processed with https://github.com/GeiserX/jw-llm
Currently only in Spanish, in the future I expect to extract it from all available languages.
Data from the 23rd Nov 2024 |
marcov/openbookqa_additional_promptsource | marcov | "2024-11-24T22:54:30Z" | 0 | 0 | [
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-24T22:54:22Z" | ---
dataset_info:
features:
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dtype: string
- name: question_stem
dtype: string
- name: choices
sequence:
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dtype: string
- name: label
dtype: string
- name: answerKey
dtype: string
- name: fact1
dtype: string
- name: humanScore
dtype: float32
- name: clarity
dtype: float32
- name: turkIdAnonymized
dtype: string
- name: template_name
dtype: string
- name: template
dtype: string
- name: rendered_input
dtype: string
- name: rendered_output
dtype: string
splits:
- name: train
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num_examples: 34699
- name: validation
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num_examples: 3500
- name: test
num_bytes: 2177736.0
num_examples: 3500
download_size: 9510952
dataset_size: 25779882.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
|
marcov/openbookqa_main_promptsource | marcov | "2024-11-24T22:54:54Z" | 0 | 0 | [
"size_categories:10K<n<100K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-24T22:54:48Z" | ---
dataset_info:
features:
- name: id
dtype: string
- name: question_stem
dtype: string
- name: choices
sequence:
- name: text
dtype: string
- name: label
dtype: string
- name: answerKey
dtype: string
- name: template_name
dtype: string
- name: template
dtype: string
- name: rendered_input
dtype: string
- name: rendered_output
dtype: string
splits:
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num_bytes: 18544652.0
num_examples: 34699
- name: validation
num_bytes: 1956257.0
num_examples: 3500
- name: test
num_bytes: 1899142.0
num_examples: 3500
download_size: 8399651
dataset_size: 22400051.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
|
marcov/squadshifts_new_wiki_promptsource | marcov | "2024-11-24T22:55:15Z" | 0 | 0 | [
"size_categories:10K<n<100K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-24T22:55:07Z" | ---
dataset_info:
features:
- name: id
dtype: string
- name: title
dtype: string
- name: context
dtype: string
- name: question
dtype: string
- name: answers
sequence:
- name: text
dtype: string
- name: answer_start
dtype: int32
- name: template_name
dtype: string
- name: template
dtype: string
- name: rendered_input
dtype: string
- name: rendered_output
dtype: string
splits:
- name: test
num_bytes: 151133192.0
num_examples: 71442
download_size: 25010543
dataset_size: 151133192.0
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
---
|
marcov/squadshifts_amazon_promptsource | marcov | "2024-11-24T22:55:39Z" | 0 | 0 | [
"size_categories:10K<n<100K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-24T22:55:28Z" | ---
dataset_info:
features:
- name: id
dtype: string
- name: title
dtype: string
- name: context
dtype: string
- name: question
dtype: string
- name: answers
sequence:
- name: text
dtype: string
- name: answer_start
dtype: int32
- name: template_name
dtype: string
- name: template
dtype: string
- name: rendered_input
dtype: string
- name: rendered_output
dtype: string
splits:
- name: test
num_bytes: 164397393.0
num_examples: 79080
download_size: 29035528
dataset_size: 164397393.0
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
---
|
marcov/squadshifts_nyt_promptsource | marcov | "2024-11-24T22:56:04Z" | 0 | 0 | [
"size_categories:10K<n<100K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-24T22:55:53Z" | ---
dataset_info:
features:
- name: id
dtype: string
- name: title
dtype: string
- name: context
dtype: string
- name: question
dtype: string
- name: answers
sequence:
- name: text
dtype: string
- name: answer_start
dtype: int32
- name: template_name
dtype: string
- name: template
dtype: string
- name: rendered_input
dtype: string
- name: rendered_output
dtype: string
splits:
- name: test
num_bytes: 179392724.0
num_examples: 80520
download_size: 31524267
dataset_size: 179392724.0
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
---
|
Svngoku/africa-history-qa-20k | Svngoku | "2024-11-24T22:56:11Z" | 0 | 0 | [
"size_categories:10K<n<100K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-24T22:56:09Z" | ---
dataset_info:
features:
- name: question_text
dtype: string
- name: explanation
dtype: string
splits:
- name: train
num_bytes: 4646003
num_examples: 20000
download_size: 2544164
dataset_size: 4646003
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
marcov/multi_x_science_sum_promptsource | marcov | "2024-11-24T23:00:50Z" | 0 | 0 | [
"size_categories:100K<n<1M",
"format:parquet",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-24T22:57:06Z" | ---
dataset_info:
features:
- name: aid
dtype: string
- name: mid
dtype: string
- name: abstract
dtype: string
- name: related_work
dtype: string
- name: ref_abstract
sequence:
- name: cite_N
dtype: string
- name: mid
dtype: string
- name: abstract
dtype: string
- name: template_name
dtype: string
- name: template
dtype: string
- name: rendered_input
dtype: string
- name: rendered_output
dtype: string
splits:
- name: train
num_bytes: 2160847916.0
num_examples: 212583
- name: test
num_bytes: 357075796.0
num_examples: 35651
- name: validation
num_bytes: 359358344.0
num_examples: 35462
download_size: 1232385588
dataset_size: 2877282056.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: validation
path: data/validation-*
---
|
neoneye/simon-arc-combine-v180 | neoneye | "2024-11-24T22:59:29Z" | 0 | 0 | [
"task_categories:image-to-text",
"task_categories:text-to-image",
"language:en",
"license:mit",
"size_categories:1K<n<10K",
"format:json",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | [
"image-to-text",
"text-to-image"
] | "2024-11-24T22:58:38Z" | ---
license: mit
task_categories:
- image-to-text
- text-to-image
language:
- en
pretty_name: simons ARC (abstraction & reasoning corpus) combined datasets version 180
size_categories:
- 1K<n<10K
configs:
- config_name: default
data_files:
- split: train
path: data.jsonl
---
# Version 1
A combination of multiple datasets.
Datasets: `dataset_solve_color.jsonl`, `dataset_solve_rotate.jsonl`, `dataset_solve_translate.jsonl`.
# Version 2
Datasets: `dataset_solve_color.jsonl`, `dataset_solve_rotate.jsonl`, `dataset_solve_translate.jsonl`.
# Version 3
Datasets: `dataset_solve_color.jsonl`, `dataset_solve_rotate.jsonl`, `dataset_solve_translate.jsonl`.
# Version 4
Added a shared dataset name for all these datasets: `SIMON-SOLVE-V1`. There may be higher version numbers in the future.
My hypothesis: Having a version number in the dataset name, it may be easier to unlearn incorrect training data.
Datasets: `dataset_solve_color.jsonl`, `dataset_solve_rotate.jsonl`, `dataset_solve_translate.jsonl`.
# Version 5
Different random seed.
# Version 6
Using `SIMON-SOLVE-V1` everywhere. Remove the `SIMON-SOLVE-COLOR`, `SIMON-SOLVE-ROTATE`, `SIMON-SOLVE-TRANSLATE`.
# Version 7
Using `SIMON-SOLVE-V1` everywhere.
# Version 8
Same settings. Different seed as usual.
# Version 9
Switching from context length 256 to context length 512.
Increasing the image sizes so the prompt length stays below 512.
`dataset_solve_color`, image size: 1-13.
`dataset_solve_rotate`, image size: 1-9.
`dataset_solve_translate`, image size: 3-9.
# Version 10
Same settings. Different seed as usual.
# Version 11
Same settings. Different seed as usual.
# Version 12
Added 1 more pair to the examples. Now it's 2-4 examples. Previously it was 2-3 examples.
# Version 13
Same settings. Different seed as usual.
# Version 14
Same settings. Different seed as usual.
# Version 15
Same settings. Different seed as usual.
# Version 16
Added `Predict the output image.`
Disabled prediction of rows.
Disabled prediction of height.
# Verison 17
Same settings. Different seed as usual.
Using the `DatasetGenerator` and the `DatasetItemListBuilder`.
# Verison 18
Added datasets.
Datasets:
- `dataset_solve_color.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_cellular_automaton.jsonl` - added.
- `dataset_shape.jsonl` - added.
# Verison 19
Added dataset.
Datasets:
- `dataset_solve_color.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_cellular_automaton.jsonl`
- `dataset_shape.jsonl`
- `dataset_image.jsonl` - added.
# Verison 20
Bigger images.
# Verison 21
Added dataset. Disabled some datasets.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_shape.jsonl`
- `dataset_mass.jsonl` - added.
# Verison 22
Added dataset.
Datasets:
- `dataset_solve_color.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_cellular_automaton.jsonl`
- `dataset_shape.jsonl`
- `dataset_image.jsonl`
- `dataset_mass.jsonl`
- `dataset_histogram.jsonl` - added.
Bigger image sizes.
Number of rows=200k. Was previously 100k rows.
# Verison 23
`datset_mass.jsonl`. increased to `max_mass=5`.
# Verison 24
`datset_mass.jsonl`. increased to `max_mass=6`.
# Verison 25
different seed.
# Verison 26
`datset_mass.jsonl`. increased to `max_mass=25`.
different seed.
# Verison 27
different seed.
# Verison 28
different seed.
# Verison 29
different seed.
# Verison 30
different seed.
# Verison 31
different seed.
# Verison 32
different seed.
# Verison 33
Disabled some dataset.
Datasets:
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_mass.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_color.jsonl` - disabled
- `dataset_solve_rotate.jsonl` - disabled
- `dataset_solve_translate.jsonl` - disabled
- `dataset_cellular_automaton.jsonl`
# Verison 34
Enabled all datasets.
# Version 35
Regenerated all datasets with new random seeds.
# Verison 36
Added dataset `dataset_scale.jsonl`.
Disabled some dataset.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl` - disabled
- `dataset_solve_color.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_translate.jsonl`
# Verison 37
Enabled all datasets
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_translate.jsonl`
# Verison 38
Added dataset
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_symmetry.jsonl` - added
# Version 39
Regenerated all datasets with new random seeds.
# Version 40
Added dataset
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl` - added
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_symmetry.jsonl`
# Version 41
Regenerated all datasets with new random seeds.
# Version 42
Added dataset. Disabled some datasets.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl` - added
- `dataset_solve_translate.jsonl`
- `dataset_symmetry.jsonl` - disabled
# Version 43
Enabled all datasets.
# Version 44
Regenerated all datasets with new random seeds.
# Version 45
Extended the `dataset_shape.jsonl` with these new `PixelConnectivity` types: `CORNER4`, `LR2`, `TB2`, `TLBR2`, `TRBL2`.
Hopefully it makes the model better at making sense of diagonal structures, which is something it's terrible at at the moment.
# Version 46
Regenerated all datasets with new random seeds.
# Version 47
Added dataset. Disabled some datasets.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_color.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl` - added
- `dataset_solve_translate.jsonl`
- `dataset_symmetry.jsonl`
# Version 48
Enabled all datasets.
# Version 49
Bigger `max_mass`. From 6 to 8.
# Version 50
Added dataset.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl` - added
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_symmetry.jsonl`
# Version 51
Regenerated all datasets with new random seeds.
# Version 52
Regenerated all datasets with new random seeds.
# Version 53
Regenerated all datasets with new random seeds.
# Version 54
Added dataset.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_erotion.jsonl` - added
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_symmetry.jsonl`
# Version 55
Added dataset. Disabled most datasets.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl` - added
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_color.jsonl` - disabled
- `dataset_solve_compress.jsonl` - disabled
- `dataset_solve_rotate.jsonl` - disabled
- `dataset_solve_scale.jsonl` - disabled
- `dataset_solve_symmetry.jsonl` - disabled
- `dataset_solve_translate.jsonl` - disabled
- `dataset_symmetry.jsonl` - disabled
# Version 56
Enabled all datasets.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_symmetry.jsonl`
# Version 57
Regenerated all datasets with new random seeds.
# Version 58
Disabled most datasets.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_symmetry.jsonl` - disabled
# Version 59
Added new datasets.
Disabled most datasets.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_erosion.jsonl` - added
- `dataset_solve_fractal.jsonl` - added
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_symmetry.jsonl` - disabled
# Version 60
Incremented random seed
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_symmetry.jsonl` - disabled
# Version 61
Enabled all datasets.
More padding inside the `dataset_solve_fractal.jsonl`.
# Version 62
All datasets still enabled.
Turning up the parameter for `dataset_solve_fractal.jsonl`.
scale_input from 3 to 4.
scale_output from 3 to 4.
max_image_size from 3 to 4.
max_pad_count from 4 to 5.
# Version 63
Disabled several datasets.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl`
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_color.jsonl` - disabled
- `dataset_solve_compress.jsonl` - disabled
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_rotate.jsonl` - disabled
- `dataset_solve_scale.jsonl` - disabled
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl` - disabled
- `dataset_symmetry.jsonl` - disabled
# Version 64
Added dataset.
Increased the number of rows in the jsonl file from 200k to 300k.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_outline.jsonl` - added
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_symmetry.jsonl`
# Version 65
random seed.
# Version 66
Disabled some datasets.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl`
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl`
- `dataset_solve_color.jsonl` - disabled
- `dataset_solve_compress.jsonl` - disabled
- `dataset_solve_erosion.jsonl` - disabled
- `dataset_solve_fractal.jsonl` - disabled
- `dataset_solve_outline.jsonl` - disabled
- `dataset_solve_rotate.jsonl` - disabled
- `dataset_solve_scale.jsonl` - disabled
- `dataset_solve_symmetry.jsonl` - disabled
- `dataset_solve_translate.jsonl` - disabled
- `dataset_symmetry.jsonl` - disabled
# Version 67
Disabled some datasets.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_color.jsonl` - enabled
- `dataset_solve_compress.jsonl` - enabled
- `dataset_solve_erosion.jsonl` - enabled
- `dataset_solve_fractal.jsonl` - enabled
- `dataset_solve_outline.jsonl` - enabled
- `dataset_solve_rotate.jsonl` - enabled
- `dataset_solve_scale.jsonl` - enabled
- `dataset_solve_symmetry.jsonl` - enabled
- `dataset_solve_translate.jsonl` - enabled
- `dataset_symmetry.jsonl`
# Version 68
Enabled all datasets.
# Version 69
Different random seed.
# Version 70
Different random seed.
# Version 71
Different random seed.
# Version 72
Different random seed.
# Version 73
Different random seed.
# Version 74
Major update to `dataset_solve_symmetry.jsonl`.
# Version 75
Different random seed.
# Version 76
Disabled some datasets.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_symmetry.jsonl` - disabled
# Version 77
Enabled all datasets.
# Version 78
Major update to `dataset_solve_symmetry.jsonl`.
# Version 79
Different random seed.
# Version 80
Different random seed.
# Version 81
Different random seed.
# Version 82
Added dataset.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl` - added
- `dataset_symmetry.jsonl`
# Version 83
Disabled datasets that doesn't solve ARC puzzles.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl` - disabled
# Version 84
Added dataset `dataset_solve_grid.jsonl`.
Disabled datasets that doesn't solve ARC puzzles.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl` - added
- `dataset_solve_outline.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl` - disabled
# Version 85
Disabled datasets that doesn't solve ARC puzzles.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl` - disabled
# Version 86
Enabled all datasets.
# Version 87
Disabled datasets that doesn't solve ARC puzzles.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl` - disabled
# Version 88
Added dataset `dataset_solve_probecolor.jsonl` with all directions enabled.
Disabled datasets that doesn't solve ARC puzzles.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl` - disabled
# Version 89
Enabled all datasets.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl`
# Version 90
Disabled some of the datasets.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_color.jsonl` - disabled
- `dataset_solve_compress.jsonl`
- `dataset_solve_erosion.jsonl` - disabled
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl` - disabled
- `dataset_solve_outline.jsonl` - disabled
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl` - disabled
- `dataset_solve_zindex.jsonl` - disabled
- `dataset_symmetry.jsonl` - disabled
# Version 91
Added dataset.
Enabled all datasets.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_mass.jsonl` - added
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl`
# Version 92
Different random seed.
# Version 93
Added dataset.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_bool.jsonl` - added
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_mass.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl`
# Version 94
Added dataset.
Disabled datasets that doesn't solve ARC tasks.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_bool.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_edge.jsonl` - added
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_mass.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl` - disabled
# Version 95
Added dataset.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_bool.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_edge.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_half.jsonl` - added
- `dataset_solve_mass.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl`
# Version 96
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_bool.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_edge.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_half.jsonl`
- `dataset_solve_mass.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl` - major update.
- `dataset_symmetry.jsonl`
# Version 97
Disabled the first half of the datasets.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_bool.jsonl` - disabled
- `dataset_solve_color.jsonl` - disabled
- `dataset_solve_compress.jsonl` - disabled
- `dataset_solve_edge.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_half.jsonl`
- `dataset_solve_mass.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl`
# Version 98
Disabled the last half of the datasets.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_bool.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_edge.jsonl` - disabled
- `dataset_solve_erosion.jsonl` - disabled
- `dataset_solve_fractal.jsonl` - disabled
- `dataset_solve_grid.jsonl` - disabled
- `dataset_solve_half.jsonl` - disabled
- `dataset_solve_mass.jsonl` - disabled
- `dataset_solve_outline.jsonl` - disabled
- `dataset_solve_probecolor.jsonl` - disabled
- `dataset_solve_rotate.jsonl` - disabled
- `dataset_solve_scale.jsonl` - disabled
- `dataset_solve_symmetry.jsonl` - disabled
- `dataset_solve_translate.jsonl` - disabled
- `dataset_solve_zindex.jsonl` - disabled
- `dataset_symmetry.jsonl` - disabled
# Version 99
Disabled the 1/4th of the datasets.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_bool.jsonl` - disabled
- `dataset_solve_color.jsonl` - disabled
- `dataset_solve_compress.jsonl` - disabled
- `dataset_solve_edge.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_half.jsonl`
- `dataset_solve_mass.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl` - disabled
- `dataset_solve_rotate.jsonl` - disabled
- `dataset_solve_scale.jsonl` - disabled
- `dataset_solve_symmetry.jsonl` - disabled
- `dataset_solve_translate.jsonl` - disabled
- `dataset_solve_zindex.jsonl` - disabled
- `dataset_symmetry.jsonl` - disabled
# Version 100
Added dataset.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_bool.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_edge.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_half.jsonl`
- `dataset_solve_mask.jsonl` - added
- `dataset_solve_mass.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl`
# Version 101
Disabled the non solving datasets.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_bool.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_edge.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_half.jsonl`
- `dataset_solve_mask.jsonl`
- `dataset_solve_mass.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl` - disabled
# Version 102
Added dataset
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_bool.jsonl`
- `dataset_solve_boundingbox.jsonl` - added
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_edge.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_half.jsonl`
- `dataset_solve_mask.jsonl`
- `dataset_solve_mass.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl`
# Version 103
Different random seed.
# Version 104
Disabled the non solving datasets.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_bool.jsonl`
- `dataset_solve_boundingbox.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_edge.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_half.jsonl`
- `dataset_solve_mask.jsonl`
- `dataset_solve_mass.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl` - disabled
# Version 105
Major update to `dataset_solve_scale.jsonl` with scaling down noisy images.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_bool.jsonl`
- `dataset_solve_boundingbox.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_edge.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_half.jsonl`
- `dataset_solve_mask.jsonl`
- `dataset_solve_mass.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl` - scale down noisy images
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl`
# Version 106
Different random seed.
# Version 107
Added dataset
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_bool.jsonl`
- `dataset_solve_boundingbox.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_edge.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_half.jsonl`
- `dataset_solve_mask.jsonl`
- `dataset_solve_mass.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_ray.jsonl` - added
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl`
# Version 108
Added dataset
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_bool.jsonl`
- `dataset_solve_boundingbox.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_edge.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_flip.jsonl` - added
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_half.jsonl`
- `dataset_solve_mask.jsonl`
- `dataset_solve_mass.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_ray.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl`
# Version 109
Different random seed.
# Version 110
Added dataset
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_bool.jsonl`
- `dataset_solve_boundingbox.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_edge.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_flip.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_half.jsonl`
- `dataset_solve_halfplane.jsonl` - added
- `dataset_solve_mask.jsonl`
- `dataset_solve_mass.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_ray.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl`
# Version 111
Different random seed.
# Version 112
Different random seed.
# Version 113
Different random seed.
# Version 114
Major update to the `dataset_solve-mass.jsonl`, so it now includes `mass_compare_adjacent_rows` and `mass_compare_adjacent_columns`.
# Version 115
Added dataset
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_bool.jsonl`
- `dataset_solve_boundingbox.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_edge.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_flip.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_gravity.jsonl` - added
- `dataset_solve_grid.jsonl`
- `dataset_solve_half.jsonl`
- `dataset_solve_halfplane.jsonl`
- `dataset_solve_mask.jsonl`
- `dataset_solve_mass.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_ray.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl`
# Version 116
Hypothesis. What if I train with a smaller dataset, will it converge faster?
Reduced the number of rows in this dataset from 300k rows to 10k rows.
# Version 117
Interesting, 10k rows seems to work fine with the model training.
Picked new random rows.
# Version 118
Still going with 10k rows.
Picked new random rows.
# Version 119
Still going with 10k rows.
Picked new random rows.
# Version 120
Switched to 20k rows.
# Version 121
Still going with 20k rows.
Picked new random rows.
# Version 122
20k rows.
Added `dataset_solve_reverse.jsonl`.
# Version 123
Doubled the number of rows to 40k rows.
# Version 124
Set row count to 100k rows.
Major update to `dataset_solve_gravity.jsonl`.
# Version 125
Row count: 100k rows.
# Version 126
Row count: 20k rows.
Only these datasets are enabled:
```txt
dataset_solve_bool.jsonl
dataset_solve_boundingbox.jsonl
dataset_solve_color.jsonl
dataset_solve_compress.jsonl
dataset_solve_edge.jsonl
dataset_solve_erosion.jsonl
dataset_solve_flip.jsonl
dataset_solve_fractal.jsonl
dataset_solve_gravity.jsonl
dataset_solve_grid.jsonl
dataset_solve_half.jsonl
dataset_solve_halfplane.jsonl
dataset_solve_mask.jsonl
dataset_solve_mass.jsonl
dataset_solve_outline.jsonl
dataset_solve_probecolor.jsonl
dataset_solve_ray.jsonl
dataset_solve_reverse.jsonl
dataset_solve_rotate.jsonl
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_solve_zindex.jsonl
```
# Version 127
Row count: 20k rows.
Only these datasets are enabled:
```txt
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_solve_zindex.jsonl
```
# Version 128
Row count: 20k rows.
Only these datasets are enabled:
```txt
dataset_solve_probecolor.jsonl
dataset_solve_ray.jsonl
dataset_solve_reverse.jsonl
dataset_solve_rotate.jsonl
```
# Version 129
Row count: 20k rows.
Only these datasets are enabled:
```txt
dataset_solve_gravity.jsonl
dataset_solve_grid.jsonl
dataset_solve_half.jsonl
dataset_solve_halfplane.jsonl
dataset_solve_mask.jsonl
dataset_solve_mass.jsonl
dataset_solve_outline.jsonl
```
# Version 130
Row count: 20k rows.
Only these datasets are enabled:
```txt
dataset_solve_bool.jsonl
dataset_solve_boundingbox.jsonl
dataset_solve_color.jsonl
dataset_solve_compress.jsonl
dataset_solve_edge.jsonl
dataset_solve_erosion.jsonl
dataset_solve_flip.jsonl
dataset_solve_fractal.jsonl
```
# Version 131
Switched back to 300k rows.
Enabled all the datasets.
# Version 132
Random seed.
# Version 133
Removed the rows that are longer than what can be fitted inside a 512 context length.
# Version 134
Random seed.
# Version 135
Random seed.
# Version 136
Major update to the `dataset_solve_gravity.jsonl` file.
# Version 137
Added dataset `dataset_solve_skew.jsonl`.
# Version 138
Disabled several datasets.
```txt
# 'dataset_cellular_automaton.jsonl',
# 'dataset_dilation.jsonl',
# 'dataset_erosion.jsonl',
# 'dataset_histogram.jsonl',
# 'dataset_image.jsonl',
# 'dataset_image_pair.jsonl',
# 'dataset_mass.jsonl',
# 'dataset_scale.jsonl',
# 'dataset_shape.jsonl',
# 'dataset_solve_bool.jsonl',
'dataset_solve_boundingbox.jsonl',
'dataset_solve_color.jsonl',
'dataset_solve_compress.jsonl',
'dataset_solve_edge.jsonl',
'dataset_solve_erosion.jsonl',
'dataset_solve_flip.jsonl',
'dataset_solve_fractal.jsonl',
'dataset_solve_gravity.jsonl',
'dataset_solve_grid.jsonl',
'dataset_solve_half.jsonl',
# 'dataset_solve_halfplane.jsonl',
'dataset_solve_mask.jsonl',
'dataset_solve_mass.jsonl',
'dataset_solve_outline.jsonl',
'dataset_solve_probecolor.jsonl',
# 'dataset_solve_ray.jsonl',
# 'dataset_solve_reverse.jsonl',
'dataset_solve_rotate.jsonl',
'dataset_solve_scale.jsonl',
# 'dataset_solve_skew.jsonl',
'dataset_solve_symmetry.jsonl',
'dataset_solve_translate.jsonl',
'dataset_solve_zindex.jsonl',
# 'dataset_symmetry.jsonl',
```
# Version 139
Disabled several datasets.
```txt
'dataset_cellular_automaton.jsonl',
'dataset_dilation.jsonl',
'dataset_erosion.jsonl',
'dataset_histogram.jsonl',
'dataset_image.jsonl',
'dataset_image_pair.jsonl',
'dataset_mass.jsonl',
'dataset_scale.jsonl',
'dataset_shape.jsonl',
'dataset_solve_bool.jsonl',
# 'dataset_solve_boundingbox.jsonl',
# 'dataset_solve_color.jsonl',
# 'dataset_solve_compress.jsonl',
# 'dataset_solve_edge.jsonl',
# 'dataset_solve_erosion.jsonl',
# 'dataset_solve_flip.jsonl',
# 'dataset_solve_fractal.jsonl',
# 'dataset_solve_gravity.jsonl',
# 'dataset_solve_grid.jsonl',
# 'dataset_solve_half.jsonl',
'dataset_solve_halfplane.jsonl',
# 'dataset_solve_mask.jsonl',
# 'dataset_solve_mass.jsonl',
# 'dataset_solve_outline.jsonl',
# 'dataset_solve_probecolor.jsonl',
'dataset_solve_ray.jsonl',
'dataset_solve_reverse.jsonl',
# 'dataset_solve_rotate.jsonl',
# 'dataset_solve_scale.jsonl',
'dataset_solve_skew.jsonl',
# 'dataset_solve_symmetry.jsonl',
# 'dataset_solve_translate.jsonl',
# 'dataset_solve_zindex.jsonl',
'dataset_symmetry.jsonl',
```
# Version 140
Enabled all datasets.
Added new dataset: `dataset_solve_cross.jsonl`.
# Version 141
Switched to 30k rows.
Disabled several datasets.
```txt
# 'dataset_cellular_automaton.jsonl',
# 'dataset_dilation.jsonl',
# 'dataset_erosion.jsonl',
# 'dataset_histogram.jsonl',
# 'dataset_image.jsonl',
# 'dataset_image_pair.jsonl',
# 'dataset_mass.jsonl',
# 'dataset_scale.jsonl',
# 'dataset_shape.jsonl',
# 'dataset_solve_bool.jsonl',
'dataset_solve_boundingbox.jsonl',
'dataset_solve_color.jsonl',
'dataset_solve_compress.jsonl',
# 'dataset_solve_cross.jsonl',
'dataset_solve_edge.jsonl',
'dataset_solve_erosion.jsonl',
'dataset_solve_flip.jsonl',
'dataset_solve_fractal.jsonl',
# 'dataset_solve_gravity.jsonl',
'dataset_solve_grid.jsonl',
'dataset_solve_half.jsonl',
# 'dataset_solve_halfplane.jsonl',
'dataset_solve_mask.jsonl',
'dataset_solve_mass.jsonl',
'dataset_solve_outline.jsonl',
'dataset_solve_probecolor.jsonl',
'dataset_solve_ray.jsonl',
# 'dataset_solve_reverse.jsonl',
'dataset_solve_rotate.jsonl',
'dataset_solve_scale.jsonl',
'dataset_solve_skew.jsonl',
'dataset_solve_symmetry.jsonl',
'dataset_solve_translate.jsonl',
# 'dataset_solve_zindex.jsonl',
# 'dataset_symmetry.jsonl',
```
# Version 142
Switched to 300k rows.
Enabled all datasets.
Switched from 512 context to 1024 context.
# Version 143
Bigger images in `dataset_solve_cross.jsonl` and in `dataset_solve_mass.jsonl`.
# Version 144
Major update to `dataset_solve_symmetry.jsonl`.
# Version 145
Added `dataset_solve_span.jsonl`.
# Version 146
Extended `dataset_solve_span.jsonl` with `generate_task_with_template_lines`.
# Version 147
Extended `dataset_solve_span.jsonl` with `generate_task_with_alternate`.
# Version 148
Added `dataset_solve_count.jsonl`.
# Version 149
Randomized.
# Version 150
Upgraded context length for several datasets from 512 to 1024.
# Version 151
Randomized.
# Version 152
Randomized.
# Version 153
Extended `dataset_solve_mask.jsonl` with `generate_task_repair_rectangle_and_crop`.
# Version 154
Extended `dataset_solve_color.jsonl` with `generate_task_replace_color`.
# Version 155
Major update to datasets in the range from `dataset_solve_axxx.jsonl` to `dataset_solve_mask.jsonl`.
Now there is an earlier prediction for the output that is to be predicted. It may contain a hint, or it may be garbage that is to be ignored.
# Version 156
Only 2000 rows.
Only these datasets.
'dataset_cellular_automaton.jsonl',
'dataset_dilation.jsonl',
'dataset_erosion.jsonl',
'dataset_histogram.jsonl',
'dataset_image.jsonl',
'dataset_image_pair.jsonl',
'dataset_mass.jsonl',
'dataset_scale.jsonl',
'dataset_shape.jsonl',
'dataset_symmetry.jsonl',
# Version 157
Only these datasets.
- 'dataset_solve_bool.jsonl',
- 'dataset_solve_boundingbox.jsonl',
- 'dataset_solve_color.jsonl',
- 'dataset_solve_compress.jsonl',
- 'dataset_solve_count.jsonl',
- 'dataset_solve_cross.jsonl',
- 'dataset_solve_edge.jsonl',
- 'dataset_solve_erosion.jsonl',
- 'dataset_solve_flip.jsonl',
- 'dataset_solve_fractal.jsonl',
- 'dataset_solve_gravity.jsonl',
- 'dataset_solve_grid.jsonl',
- 'dataset_solve_half.jsonl',
- 'dataset_solve_halfplane.jsonl',
- 'dataset_solve_mask.jsonl',
- 'dataset_solve_mass.jsonl',
- 'dataset_solve_outline.jsonl',
- 'dataset_solve_probecolor.jsonl',
- 'dataset_solve_ray.jsonl',
- 'dataset_solve_reverse.jsonl',
- 'dataset_solve_rotate.jsonl',
- 'dataset_solve_scale.jsonl',
- 'dataset_solve_span.jsonl',
- 'dataset_solve_skew.jsonl',
- 'dataset_solve_symmetry.jsonl',
- 'dataset_solve_translate.jsonl',
- 'dataset_solve_zindex.jsonl',
# Version 158
Only these datasets.
- `dataset_solve_boundingbox.jsonl`
- `dataset_solve_rectangle.jsonl`
# Versin 159
Enabled all the `_solve_` datasets.
# Version 160
Regenerated all the `_solve_` datasets with new seed.
# Version 161
Regenerated all the `_solve_` datasets with new seed.
# Version 162
Replaced RLE compressed response with raw pixel response.
# Version 163
Added more generators
- DatasetSolveCount
- DatasetSolveCross
- DatasetSolveEdge
- DatasetSolveErosion
- DatasetSolveFlip
- DatasetSolveFractal
# Version 164
Increased row count from 1000 to 2000.
# Version 165
Added more generators.
# Version 166
Added more generators.
# Version 167
Added more generators.
# Version 168
Added more generators.
# Version 169
Generated data.
# Version 170
Generated data.
# Version 171
Generated data.
Increased output context length from 256 to 512.
# Version 172
Generated data.
# Version 173
Generated data.
# Version 174
Generated data.
# Version 175
Generated data.
# Version 176
Generated data.
# Version 177
Increased the number of rows from 2000 to 4000.
Generated data.
# Version 178
Generated data.
# Version 179
Generated data.
# Version 180
Generated data.
|
marcov/duorc_ParaphraseRC_promptsource | marcov | "2024-11-24T23:08:44Z" | 0 | 0 | [
"size_categories:100K<n<1M",
"format:parquet",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-24T23:04:05Z" | ---
dataset_info:
features:
- name: plot_id
dtype: string
- name: plot
dtype: string
- name: title
dtype: string
- name: question_id
dtype: string
- name: question
dtype: string
- name: answers
sequence: string
- name: no_answer
dtype: bool
- name: template_name
dtype: string
- name: template
dtype: string
- name: rendered_input
dtype: string
- name: rendered_output
dtype: string
splits:
- name: train
num_bytes: 8699321747.2156
num_examples: 604172
- name: validation
num_bytes: 1863729702.5148199
num_examples: 135359
- name: test
num_bytes: 2018373319.5412612
num_examples: 137897
download_size: 1290729457
dataset_size: 12581424769.27168
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
|
marcov/duorc_SelfRC_promptsource | marcov | "2024-11-24T23:13:11Z" | 0 | 0 | [
"size_categories:100K<n<1M",
"format:parquet",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-24T23:10:49Z" | ---
dataset_info:
features:
- name: plot_id
dtype: string
- name: plot
dtype: string
- name: title
dtype: string
- name: question_id
dtype: string
- name: question
dtype: string
- name: answers
sequence: string
- name: no_answer
dtype: bool
- name: template_name
dtype: string
- name: template
dtype: string
- name: rendered_input
dtype: string
- name: rendered_output
dtype: string
splits:
- name: train
num_bytes: 4449361221.688213
num_examples: 545235
- name: validation
num_bytes: 958553344.2938045
num_examples: 116417
- name: test
num_bytes: 911757552.4537781
num_examples: 112743
download_size: 534687050
dataset_size: 6319672118.435796
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
|
RylanSchaeffer/collapse_gemma-2-9b_hs2_replace_iter4_sftsd0_temp1_max_seq_len512 | RylanSchaeffer | "2024-11-24T23:11:32Z" | 0 | 0 | [
"size_categories:10K<n<100K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-24T23:11:31Z" | ---
dataset_info:
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marcov/lambada_promptsource | marcov | "2024-11-24T23:30:56Z" | 0 | 0 | [
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RylanSchaeffer/collapse_gemma-2-9b_hs2_replace_iter4_sftsd2_temp1_max_seq_len512 | RylanSchaeffer | "2024-11-24T23:23:37Z" | 0 | 0 | [
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|
RylanSchaeffer/collapse_gemma-2-9b_hs2_replace_iter4_sftsd1_temp1_max_seq_len512 | RylanSchaeffer | "2024-11-24T23:24:48Z" | 0 | 0 | [
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aklywtx/small_sop_vi | aklywtx | "2024-11-24T23:30:39Z" | 0 | 0 | [
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marcov/super_glue_wsc.fixed_promptsource | marcov | "2024-11-24T23:31:48Z" | 0 | 0 | [
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marcov/super_glue_axg_promptsource | marcov | "2024-11-24T23:32:04Z" | 0 | 0 | [
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marcov/super_glue_wic_promptsource | marcov | "2024-11-24T23:32:34Z" | 0 | 0 | [
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marcov/super_glue_boolq_promptsource | marcov | "2024-11-24T23:33:34Z" | 0 | 0 | [
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marcov/super_glue_cb_promptsource | marcov | "2024-11-24T23:33:52Z" | 0 | 0 | [
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ngia/asr-wolof-dataset-processed-v2 | ngia | "2024-11-24T23:40:50Z" | 0 | 0 | [
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amuvarma/5k-luna-tune-instruct-contentonly | amuvarma | "2024-11-25T01:29:23Z" | 0 | 0 | [
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|
amuvarma/5k-luna-tune-instruct-6layer | amuvarma | "2024-11-24T23:40:11Z" | 0 | 0 | [
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marcov/super_glue_record_promptsource | marcov | "2024-11-24T23:58:20Z" | 0 | 0 | [
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|
neoneye/simon-arc-combine-v181 | neoneye | "2024-11-24T23:56:03Z" | 0 | 0 | [
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"library:polars",
"region:us"
] | [
"image-to-text",
"text-to-image"
] | "2024-11-24T23:55:17Z" | ---
license: mit
task_categories:
- image-to-text
- text-to-image
language:
- en
pretty_name: simons ARC (abstraction & reasoning corpus) combined datasets version 181
size_categories:
- 1K<n<10K
configs:
- config_name: default
data_files:
- split: train
path: data.jsonl
---
# Version 1
A combination of multiple datasets.
Datasets: `dataset_solve_color.jsonl`, `dataset_solve_rotate.jsonl`, `dataset_solve_translate.jsonl`.
# Version 2
Datasets: `dataset_solve_color.jsonl`, `dataset_solve_rotate.jsonl`, `dataset_solve_translate.jsonl`.
# Version 3
Datasets: `dataset_solve_color.jsonl`, `dataset_solve_rotate.jsonl`, `dataset_solve_translate.jsonl`.
# Version 4
Added a shared dataset name for all these datasets: `SIMON-SOLVE-V1`. There may be higher version numbers in the future.
My hypothesis: Having a version number in the dataset name, it may be easier to unlearn incorrect training data.
Datasets: `dataset_solve_color.jsonl`, `dataset_solve_rotate.jsonl`, `dataset_solve_translate.jsonl`.
# Version 5
Different random seed.
# Version 6
Using `SIMON-SOLVE-V1` everywhere. Remove the `SIMON-SOLVE-COLOR`, `SIMON-SOLVE-ROTATE`, `SIMON-SOLVE-TRANSLATE`.
# Version 7
Using `SIMON-SOLVE-V1` everywhere.
# Version 8
Same settings. Different seed as usual.
# Version 9
Switching from context length 256 to context length 512.
Increasing the image sizes so the prompt length stays below 512.
`dataset_solve_color`, image size: 1-13.
`dataset_solve_rotate`, image size: 1-9.
`dataset_solve_translate`, image size: 3-9.
# Version 10
Same settings. Different seed as usual.
# Version 11
Same settings. Different seed as usual.
# Version 12
Added 1 more pair to the examples. Now it's 2-4 examples. Previously it was 2-3 examples.
# Version 13
Same settings. Different seed as usual.
# Version 14
Same settings. Different seed as usual.
# Version 15
Same settings. Different seed as usual.
# Version 16
Added `Predict the output image.`
Disabled prediction of rows.
Disabled prediction of height.
# Verison 17
Same settings. Different seed as usual.
Using the `DatasetGenerator` and the `DatasetItemListBuilder`.
# Verison 18
Added datasets.
Datasets:
- `dataset_solve_color.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_cellular_automaton.jsonl` - added.
- `dataset_shape.jsonl` - added.
# Verison 19
Added dataset.
Datasets:
- `dataset_solve_color.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_cellular_automaton.jsonl`
- `dataset_shape.jsonl`
- `dataset_image.jsonl` - added.
# Verison 20
Bigger images.
# Verison 21
Added dataset. Disabled some datasets.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_shape.jsonl`
- `dataset_mass.jsonl` - added.
# Verison 22
Added dataset.
Datasets:
- `dataset_solve_color.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_cellular_automaton.jsonl`
- `dataset_shape.jsonl`
- `dataset_image.jsonl`
- `dataset_mass.jsonl`
- `dataset_histogram.jsonl` - added.
Bigger image sizes.
Number of rows=200k. Was previously 100k rows.
# Verison 23
`datset_mass.jsonl`. increased to `max_mass=5`.
# Verison 24
`datset_mass.jsonl`. increased to `max_mass=6`.
# Verison 25
different seed.
# Verison 26
`datset_mass.jsonl`. increased to `max_mass=25`.
different seed.
# Verison 27
different seed.
# Verison 28
different seed.
# Verison 29
different seed.
# Verison 30
different seed.
# Verison 31
different seed.
# Verison 32
different seed.
# Verison 33
Disabled some dataset.
Datasets:
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_mass.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_color.jsonl` - disabled
- `dataset_solve_rotate.jsonl` - disabled
- `dataset_solve_translate.jsonl` - disabled
- `dataset_cellular_automaton.jsonl`
# Verison 34
Enabled all datasets.
# Version 35
Regenerated all datasets with new random seeds.
# Verison 36
Added dataset `dataset_scale.jsonl`.
Disabled some dataset.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl` - disabled
- `dataset_solve_color.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_translate.jsonl`
# Verison 37
Enabled all datasets
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_translate.jsonl`
# Verison 38
Added dataset
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_symmetry.jsonl` - added
# Version 39
Regenerated all datasets with new random seeds.
# Version 40
Added dataset
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl` - added
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_symmetry.jsonl`
# Version 41
Regenerated all datasets with new random seeds.
# Version 42
Added dataset. Disabled some datasets.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl` - added
- `dataset_solve_translate.jsonl`
- `dataset_symmetry.jsonl` - disabled
# Version 43
Enabled all datasets.
# Version 44
Regenerated all datasets with new random seeds.
# Version 45
Extended the `dataset_shape.jsonl` with these new `PixelConnectivity` types: `CORNER4`, `LR2`, `TB2`, `TLBR2`, `TRBL2`.
Hopefully it makes the model better at making sense of diagonal structures, which is something it's terrible at at the moment.
# Version 46
Regenerated all datasets with new random seeds.
# Version 47
Added dataset. Disabled some datasets.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_color.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl` - added
- `dataset_solve_translate.jsonl`
- `dataset_symmetry.jsonl`
# Version 48
Enabled all datasets.
# Version 49
Bigger `max_mass`. From 6 to 8.
# Version 50
Added dataset.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl` - added
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_symmetry.jsonl`
# Version 51
Regenerated all datasets with new random seeds.
# Version 52
Regenerated all datasets with new random seeds.
# Version 53
Regenerated all datasets with new random seeds.
# Version 54
Added dataset.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_erotion.jsonl` - added
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_symmetry.jsonl`
# Version 55
Added dataset. Disabled most datasets.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl` - added
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_color.jsonl` - disabled
- `dataset_solve_compress.jsonl` - disabled
- `dataset_solve_rotate.jsonl` - disabled
- `dataset_solve_scale.jsonl` - disabled
- `dataset_solve_symmetry.jsonl` - disabled
- `dataset_solve_translate.jsonl` - disabled
- `dataset_symmetry.jsonl` - disabled
# Version 56
Enabled all datasets.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_symmetry.jsonl`
# Version 57
Regenerated all datasets with new random seeds.
# Version 58
Disabled most datasets.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_symmetry.jsonl` - disabled
# Version 59
Added new datasets.
Disabled most datasets.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_erosion.jsonl` - added
- `dataset_solve_fractal.jsonl` - added
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_symmetry.jsonl` - disabled
# Version 60
Incremented random seed
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_symmetry.jsonl` - disabled
# Version 61
Enabled all datasets.
More padding inside the `dataset_solve_fractal.jsonl`.
# Version 62
All datasets still enabled.
Turning up the parameter for `dataset_solve_fractal.jsonl`.
scale_input from 3 to 4.
scale_output from 3 to 4.
max_image_size from 3 to 4.
max_pad_count from 4 to 5.
# Version 63
Disabled several datasets.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl`
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_color.jsonl` - disabled
- `dataset_solve_compress.jsonl` - disabled
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_rotate.jsonl` - disabled
- `dataset_solve_scale.jsonl` - disabled
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl` - disabled
- `dataset_symmetry.jsonl` - disabled
# Version 64
Added dataset.
Increased the number of rows in the jsonl file from 200k to 300k.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_outline.jsonl` - added
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_symmetry.jsonl`
# Version 65
random seed.
# Version 66
Disabled some datasets.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl`
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl`
- `dataset_solve_color.jsonl` - disabled
- `dataset_solve_compress.jsonl` - disabled
- `dataset_solve_erosion.jsonl` - disabled
- `dataset_solve_fractal.jsonl` - disabled
- `dataset_solve_outline.jsonl` - disabled
- `dataset_solve_rotate.jsonl` - disabled
- `dataset_solve_scale.jsonl` - disabled
- `dataset_solve_symmetry.jsonl` - disabled
- `dataset_solve_translate.jsonl` - disabled
- `dataset_symmetry.jsonl` - disabled
# Version 67
Disabled some datasets.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_color.jsonl` - enabled
- `dataset_solve_compress.jsonl` - enabled
- `dataset_solve_erosion.jsonl` - enabled
- `dataset_solve_fractal.jsonl` - enabled
- `dataset_solve_outline.jsonl` - enabled
- `dataset_solve_rotate.jsonl` - enabled
- `dataset_solve_scale.jsonl` - enabled
- `dataset_solve_symmetry.jsonl` - enabled
- `dataset_solve_translate.jsonl` - enabled
- `dataset_symmetry.jsonl`
# Version 68
Enabled all datasets.
# Version 69
Different random seed.
# Version 70
Different random seed.
# Version 71
Different random seed.
# Version 72
Different random seed.
# Version 73
Different random seed.
# Version 74
Major update to `dataset_solve_symmetry.jsonl`.
# Version 75
Different random seed.
# Version 76
Disabled some datasets.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_symmetry.jsonl` - disabled
# Version 77
Enabled all datasets.
# Version 78
Major update to `dataset_solve_symmetry.jsonl`.
# Version 79
Different random seed.
# Version 80
Different random seed.
# Version 81
Different random seed.
# Version 82
Added dataset.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl` - added
- `dataset_symmetry.jsonl`
# Version 83
Disabled datasets that doesn't solve ARC puzzles.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl` - disabled
# Version 84
Added dataset `dataset_solve_grid.jsonl`.
Disabled datasets that doesn't solve ARC puzzles.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl` - added
- `dataset_solve_outline.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl` - disabled
# Version 85
Disabled datasets that doesn't solve ARC puzzles.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl` - disabled
# Version 86
Enabled all datasets.
# Version 87
Disabled datasets that doesn't solve ARC puzzles.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl` - disabled
# Version 88
Added dataset `dataset_solve_probecolor.jsonl` with all directions enabled.
Disabled datasets that doesn't solve ARC puzzles.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl` - disabled
# Version 89
Enabled all datasets.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl`
# Version 90
Disabled some of the datasets.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_color.jsonl` - disabled
- `dataset_solve_compress.jsonl`
- `dataset_solve_erosion.jsonl` - disabled
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl` - disabled
- `dataset_solve_outline.jsonl` - disabled
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl` - disabled
- `dataset_solve_zindex.jsonl` - disabled
- `dataset_symmetry.jsonl` - disabled
# Version 91
Added dataset.
Enabled all datasets.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_mass.jsonl` - added
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl`
# Version 92
Different random seed.
# Version 93
Added dataset.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_bool.jsonl` - added
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_mass.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl`
# Version 94
Added dataset.
Disabled datasets that doesn't solve ARC tasks.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_bool.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_edge.jsonl` - added
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_mass.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl` - disabled
# Version 95
Added dataset.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_bool.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_edge.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_half.jsonl` - added
- `dataset_solve_mass.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl`
# Version 96
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_bool.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_edge.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_half.jsonl`
- `dataset_solve_mass.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl` - major update.
- `dataset_symmetry.jsonl`
# Version 97
Disabled the first half of the datasets.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_bool.jsonl` - disabled
- `dataset_solve_color.jsonl` - disabled
- `dataset_solve_compress.jsonl` - disabled
- `dataset_solve_edge.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_half.jsonl`
- `dataset_solve_mass.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl`
# Version 98
Disabled the last half of the datasets.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_bool.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_edge.jsonl` - disabled
- `dataset_solve_erosion.jsonl` - disabled
- `dataset_solve_fractal.jsonl` - disabled
- `dataset_solve_grid.jsonl` - disabled
- `dataset_solve_half.jsonl` - disabled
- `dataset_solve_mass.jsonl` - disabled
- `dataset_solve_outline.jsonl` - disabled
- `dataset_solve_probecolor.jsonl` - disabled
- `dataset_solve_rotate.jsonl` - disabled
- `dataset_solve_scale.jsonl` - disabled
- `dataset_solve_symmetry.jsonl` - disabled
- `dataset_solve_translate.jsonl` - disabled
- `dataset_solve_zindex.jsonl` - disabled
- `dataset_symmetry.jsonl` - disabled
# Version 99
Disabled the 1/4th of the datasets.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_bool.jsonl` - disabled
- `dataset_solve_color.jsonl` - disabled
- `dataset_solve_compress.jsonl` - disabled
- `dataset_solve_edge.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_half.jsonl`
- `dataset_solve_mass.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl` - disabled
- `dataset_solve_rotate.jsonl` - disabled
- `dataset_solve_scale.jsonl` - disabled
- `dataset_solve_symmetry.jsonl` - disabled
- `dataset_solve_translate.jsonl` - disabled
- `dataset_solve_zindex.jsonl` - disabled
- `dataset_symmetry.jsonl` - disabled
# Version 100
Added dataset.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_bool.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_edge.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_half.jsonl`
- `dataset_solve_mask.jsonl` - added
- `dataset_solve_mass.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl`
# Version 101
Disabled the non solving datasets.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_bool.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_edge.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_half.jsonl`
- `dataset_solve_mask.jsonl`
- `dataset_solve_mass.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl` - disabled
# Version 102
Added dataset
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_bool.jsonl`
- `dataset_solve_boundingbox.jsonl` - added
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_edge.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_half.jsonl`
- `dataset_solve_mask.jsonl`
- `dataset_solve_mass.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl`
# Version 103
Different random seed.
# Version 104
Disabled the non solving datasets.
Datasets:
- `dataset_cellular_automaton.jsonl` - disabled
- `dataset_dilation.jsonl` - disabled
- `dataset_erotion.jsonl` - disabled
- `dataset_histogram.jsonl` - disabled
- `dataset_image.jsonl` - disabled
- `dataset_image_pair.jsonl` - disabled
- `dataset_mass.jsonl` - disabled
- `dataset_scale.jsonl` - disabled
- `dataset_shape.jsonl` - disabled
- `dataset_solve_bool.jsonl`
- `dataset_solve_boundingbox.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_edge.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_half.jsonl`
- `dataset_solve_mask.jsonl`
- `dataset_solve_mass.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl` - disabled
# Version 105
Major update to `dataset_solve_scale.jsonl` with scaling down noisy images.
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_bool.jsonl`
- `dataset_solve_boundingbox.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_edge.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_half.jsonl`
- `dataset_solve_mask.jsonl`
- `dataset_solve_mass.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl` - scale down noisy images
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl`
# Version 106
Different random seed.
# Version 107
Added dataset
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_bool.jsonl`
- `dataset_solve_boundingbox.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_edge.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_half.jsonl`
- `dataset_solve_mask.jsonl`
- `dataset_solve_mass.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_ray.jsonl` - added
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl`
# Version 108
Added dataset
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_bool.jsonl`
- `dataset_solve_boundingbox.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_edge.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_flip.jsonl` - added
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_half.jsonl`
- `dataset_solve_mask.jsonl`
- `dataset_solve_mass.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_ray.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl`
# Version 109
Different random seed.
# Version 110
Added dataset
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_bool.jsonl`
- `dataset_solve_boundingbox.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_edge.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_flip.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_grid.jsonl`
- `dataset_solve_half.jsonl`
- `dataset_solve_halfplane.jsonl` - added
- `dataset_solve_mask.jsonl`
- `dataset_solve_mass.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_ray.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl`
# Version 111
Different random seed.
# Version 112
Different random seed.
# Version 113
Different random seed.
# Version 114
Major update to the `dataset_solve-mass.jsonl`, so it now includes `mass_compare_adjacent_rows` and `mass_compare_adjacent_columns`.
# Version 115
Added dataset
Datasets:
- `dataset_cellular_automaton.jsonl`
- `dataset_dilation.jsonl`
- `dataset_erotion.jsonl`
- `dataset_histogram.jsonl`
- `dataset_image.jsonl`
- `dataset_image_pair.jsonl`
- `dataset_mass.jsonl`
- `dataset_scale.jsonl`
- `dataset_shape.jsonl`
- `dataset_solve_bool.jsonl`
- `dataset_solve_boundingbox.jsonl`
- `dataset_solve_color.jsonl`
- `dataset_solve_compress.jsonl`
- `dataset_solve_edge.jsonl`
- `dataset_solve_erosion.jsonl`
- `dataset_solve_flip.jsonl`
- `dataset_solve_fractal.jsonl`
- `dataset_solve_gravity.jsonl` - added
- `dataset_solve_grid.jsonl`
- `dataset_solve_half.jsonl`
- `dataset_solve_halfplane.jsonl`
- `dataset_solve_mask.jsonl`
- `dataset_solve_mass.jsonl`
- `dataset_solve_outline.jsonl`
- `dataset_solve_probecolor.jsonl`
- `dataset_solve_ray.jsonl`
- `dataset_solve_rotate.jsonl`
- `dataset_solve_scale.jsonl`
- `dataset_solve_symmetry.jsonl`
- `dataset_solve_translate.jsonl`
- `dataset_solve_zindex.jsonl`
- `dataset_symmetry.jsonl`
# Version 116
Hypothesis. What if I train with a smaller dataset, will it converge faster?
Reduced the number of rows in this dataset from 300k rows to 10k rows.
# Version 117
Interesting, 10k rows seems to work fine with the model training.
Picked new random rows.
# Version 118
Still going with 10k rows.
Picked new random rows.
# Version 119
Still going with 10k rows.
Picked new random rows.
# Version 120
Switched to 20k rows.
# Version 121
Still going with 20k rows.
Picked new random rows.
# Version 122
20k rows.
Added `dataset_solve_reverse.jsonl`.
# Version 123
Doubled the number of rows to 40k rows.
# Version 124
Set row count to 100k rows.
Major update to `dataset_solve_gravity.jsonl`.
# Version 125
Row count: 100k rows.
# Version 126
Row count: 20k rows.
Only these datasets are enabled:
```txt
dataset_solve_bool.jsonl
dataset_solve_boundingbox.jsonl
dataset_solve_color.jsonl
dataset_solve_compress.jsonl
dataset_solve_edge.jsonl
dataset_solve_erosion.jsonl
dataset_solve_flip.jsonl
dataset_solve_fractal.jsonl
dataset_solve_gravity.jsonl
dataset_solve_grid.jsonl
dataset_solve_half.jsonl
dataset_solve_halfplane.jsonl
dataset_solve_mask.jsonl
dataset_solve_mass.jsonl
dataset_solve_outline.jsonl
dataset_solve_probecolor.jsonl
dataset_solve_ray.jsonl
dataset_solve_reverse.jsonl
dataset_solve_rotate.jsonl
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_solve_zindex.jsonl
```
# Version 127
Row count: 20k rows.
Only these datasets are enabled:
```txt
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_solve_zindex.jsonl
```
# Version 128
Row count: 20k rows.
Only these datasets are enabled:
```txt
dataset_solve_probecolor.jsonl
dataset_solve_ray.jsonl
dataset_solve_reverse.jsonl
dataset_solve_rotate.jsonl
```
# Version 129
Row count: 20k rows.
Only these datasets are enabled:
```txt
dataset_solve_gravity.jsonl
dataset_solve_grid.jsonl
dataset_solve_half.jsonl
dataset_solve_halfplane.jsonl
dataset_solve_mask.jsonl
dataset_solve_mass.jsonl
dataset_solve_outline.jsonl
```
# Version 130
Row count: 20k rows.
Only these datasets are enabled:
```txt
dataset_solve_bool.jsonl
dataset_solve_boundingbox.jsonl
dataset_solve_color.jsonl
dataset_solve_compress.jsonl
dataset_solve_edge.jsonl
dataset_solve_erosion.jsonl
dataset_solve_flip.jsonl
dataset_solve_fractal.jsonl
```
# Version 131
Switched back to 300k rows.
Enabled all the datasets.
# Version 132
Random seed.
# Version 133
Removed the rows that are longer than what can be fitted inside a 512 context length.
# Version 134
Random seed.
# Version 135
Random seed.
# Version 136
Major update to the `dataset_solve_gravity.jsonl` file.
# Version 137
Added dataset `dataset_solve_skew.jsonl`.
# Version 138
Disabled several datasets.
```txt
# 'dataset_cellular_automaton.jsonl',
# 'dataset_dilation.jsonl',
# 'dataset_erosion.jsonl',
# 'dataset_histogram.jsonl',
# 'dataset_image.jsonl',
# 'dataset_image_pair.jsonl',
# 'dataset_mass.jsonl',
# 'dataset_scale.jsonl',
# 'dataset_shape.jsonl',
# 'dataset_solve_bool.jsonl',
'dataset_solve_boundingbox.jsonl',
'dataset_solve_color.jsonl',
'dataset_solve_compress.jsonl',
'dataset_solve_edge.jsonl',
'dataset_solve_erosion.jsonl',
'dataset_solve_flip.jsonl',
'dataset_solve_fractal.jsonl',
'dataset_solve_gravity.jsonl',
'dataset_solve_grid.jsonl',
'dataset_solve_half.jsonl',
# 'dataset_solve_halfplane.jsonl',
'dataset_solve_mask.jsonl',
'dataset_solve_mass.jsonl',
'dataset_solve_outline.jsonl',
'dataset_solve_probecolor.jsonl',
# 'dataset_solve_ray.jsonl',
# 'dataset_solve_reverse.jsonl',
'dataset_solve_rotate.jsonl',
'dataset_solve_scale.jsonl',
# 'dataset_solve_skew.jsonl',
'dataset_solve_symmetry.jsonl',
'dataset_solve_translate.jsonl',
'dataset_solve_zindex.jsonl',
# 'dataset_symmetry.jsonl',
```
# Version 139
Disabled several datasets.
```txt
'dataset_cellular_automaton.jsonl',
'dataset_dilation.jsonl',
'dataset_erosion.jsonl',
'dataset_histogram.jsonl',
'dataset_image.jsonl',
'dataset_image_pair.jsonl',
'dataset_mass.jsonl',
'dataset_scale.jsonl',
'dataset_shape.jsonl',
'dataset_solve_bool.jsonl',
# 'dataset_solve_boundingbox.jsonl',
# 'dataset_solve_color.jsonl',
# 'dataset_solve_compress.jsonl',
# 'dataset_solve_edge.jsonl',
# 'dataset_solve_erosion.jsonl',
# 'dataset_solve_flip.jsonl',
# 'dataset_solve_fractal.jsonl',
# 'dataset_solve_gravity.jsonl',
# 'dataset_solve_grid.jsonl',
# 'dataset_solve_half.jsonl',
'dataset_solve_halfplane.jsonl',
# 'dataset_solve_mask.jsonl',
# 'dataset_solve_mass.jsonl',
# 'dataset_solve_outline.jsonl',
# 'dataset_solve_probecolor.jsonl',
'dataset_solve_ray.jsonl',
'dataset_solve_reverse.jsonl',
# 'dataset_solve_rotate.jsonl',
# 'dataset_solve_scale.jsonl',
'dataset_solve_skew.jsonl',
# 'dataset_solve_symmetry.jsonl',
# 'dataset_solve_translate.jsonl',
# 'dataset_solve_zindex.jsonl',
'dataset_symmetry.jsonl',
```
# Version 140
Enabled all datasets.
Added new dataset: `dataset_solve_cross.jsonl`.
# Version 141
Switched to 30k rows.
Disabled several datasets.
```txt
# 'dataset_cellular_automaton.jsonl',
# 'dataset_dilation.jsonl',
# 'dataset_erosion.jsonl',
# 'dataset_histogram.jsonl',
# 'dataset_image.jsonl',
# 'dataset_image_pair.jsonl',
# 'dataset_mass.jsonl',
# 'dataset_scale.jsonl',
# 'dataset_shape.jsonl',
# 'dataset_solve_bool.jsonl',
'dataset_solve_boundingbox.jsonl',
'dataset_solve_color.jsonl',
'dataset_solve_compress.jsonl',
# 'dataset_solve_cross.jsonl',
'dataset_solve_edge.jsonl',
'dataset_solve_erosion.jsonl',
'dataset_solve_flip.jsonl',
'dataset_solve_fractal.jsonl',
# 'dataset_solve_gravity.jsonl',
'dataset_solve_grid.jsonl',
'dataset_solve_half.jsonl',
# 'dataset_solve_halfplane.jsonl',
'dataset_solve_mask.jsonl',
'dataset_solve_mass.jsonl',
'dataset_solve_outline.jsonl',
'dataset_solve_probecolor.jsonl',
'dataset_solve_ray.jsonl',
# 'dataset_solve_reverse.jsonl',
'dataset_solve_rotate.jsonl',
'dataset_solve_scale.jsonl',
'dataset_solve_skew.jsonl',
'dataset_solve_symmetry.jsonl',
'dataset_solve_translate.jsonl',
# 'dataset_solve_zindex.jsonl',
# 'dataset_symmetry.jsonl',
```
# Version 142
Switched to 300k rows.
Enabled all datasets.
Switched from 512 context to 1024 context.
# Version 143
Bigger images in `dataset_solve_cross.jsonl` and in `dataset_solve_mass.jsonl`.
# Version 144
Major update to `dataset_solve_symmetry.jsonl`.
# Version 145
Added `dataset_solve_span.jsonl`.
# Version 146
Extended `dataset_solve_span.jsonl` with `generate_task_with_template_lines`.
# Version 147
Extended `dataset_solve_span.jsonl` with `generate_task_with_alternate`.
# Version 148
Added `dataset_solve_count.jsonl`.
# Version 149
Randomized.
# Version 150
Upgraded context length for several datasets from 512 to 1024.
# Version 151
Randomized.
# Version 152
Randomized.
# Version 153
Extended `dataset_solve_mask.jsonl` with `generate_task_repair_rectangle_and_crop`.
# Version 154
Extended `dataset_solve_color.jsonl` with `generate_task_replace_color`.
# Version 155
Major update to datasets in the range from `dataset_solve_axxx.jsonl` to `dataset_solve_mask.jsonl`.
Now there is an earlier prediction for the output that is to be predicted. It may contain a hint, or it may be garbage that is to be ignored.
# Version 156
Only 2000 rows.
Only these datasets.
'dataset_cellular_automaton.jsonl',
'dataset_dilation.jsonl',
'dataset_erosion.jsonl',
'dataset_histogram.jsonl',
'dataset_image.jsonl',
'dataset_image_pair.jsonl',
'dataset_mass.jsonl',
'dataset_scale.jsonl',
'dataset_shape.jsonl',
'dataset_symmetry.jsonl',
# Version 157
Only these datasets.
- 'dataset_solve_bool.jsonl',
- 'dataset_solve_boundingbox.jsonl',
- 'dataset_solve_color.jsonl',
- 'dataset_solve_compress.jsonl',
- 'dataset_solve_count.jsonl',
- 'dataset_solve_cross.jsonl',
- 'dataset_solve_edge.jsonl',
- 'dataset_solve_erosion.jsonl',
- 'dataset_solve_flip.jsonl',
- 'dataset_solve_fractal.jsonl',
- 'dataset_solve_gravity.jsonl',
- 'dataset_solve_grid.jsonl',
- 'dataset_solve_half.jsonl',
- 'dataset_solve_halfplane.jsonl',
- 'dataset_solve_mask.jsonl',
- 'dataset_solve_mass.jsonl',
- 'dataset_solve_outline.jsonl',
- 'dataset_solve_probecolor.jsonl',
- 'dataset_solve_ray.jsonl',
- 'dataset_solve_reverse.jsonl',
- 'dataset_solve_rotate.jsonl',
- 'dataset_solve_scale.jsonl',
- 'dataset_solve_span.jsonl',
- 'dataset_solve_skew.jsonl',
- 'dataset_solve_symmetry.jsonl',
- 'dataset_solve_translate.jsonl',
- 'dataset_solve_zindex.jsonl',
# Version 158
Only these datasets.
- `dataset_solve_boundingbox.jsonl`
- `dataset_solve_rectangle.jsonl`
# Versin 159
Enabled all the `_solve_` datasets.
# Version 160
Regenerated all the `_solve_` datasets with new seed.
# Version 161
Regenerated all the `_solve_` datasets with new seed.
# Version 162
Replaced RLE compressed response with raw pixel response.
# Version 163
Added more generators
- DatasetSolveCount
- DatasetSolveCross
- DatasetSolveEdge
- DatasetSolveErosion
- DatasetSolveFlip
- DatasetSolveFractal
# Version 164
Increased row count from 1000 to 2000.
# Version 165
Added more generators.
# Version 166
Added more generators.
# Version 167
Added more generators.
# Version 168
Added more generators.
# Version 169
Generated data.
# Version 170
Generated data.
# Version 171
Generated data.
Increased output context length from 256 to 512.
# Version 172
Generated data.
# Version 173
Generated data.
# Version 174
Generated data.
# Version 175
Generated data.
# Version 176
Generated data.
# Version 177
Increased the number of rows from 2000 to 4000.
Generated data.
# Version 178
Generated data.
# Version 179
Generated data.
# Version 180
Generated data.
# Version 181
Generated data.
|
marcov/super_glue_rte_promptsource | marcov | "2024-11-24T23:58:59Z" | 0 | 0 | [
"size_categories:10K<n<100K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-24T23:58:50Z" | ---
dataset_info:
features:
- name: premise
dtype: string
- name: hypothesis
dtype: string
- name: idx
dtype: int32
- name: label
dtype:
class_label:
names:
'0': entailment
'1': not_entailment
- name: template_name
dtype: string
- name: template
dtype: string
- name: rendered_input
dtype: string
- name: rendered_output
dtype: string
splits:
- name: train
num_bytes: 22132732.0
num_examples: 24900
- name: validation
num_bytes: 2391648.0
num_examples: 2770
- name: test
num_bytes: 25649320.0
num_examples: 30000
download_size: 24363088
dataset_size: 50173700.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
|
marcov/super_glue_multirc_promptsource | marcov | "2024-11-25T00:00:50Z" | 0 | 0 | [
"size_categories:100K<n<1M",
"format:parquet",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-25T00:00:10Z" | ---
dataset_info:
features:
- name: paragraph
dtype: string
- name: question
dtype: string
- name: answer
dtype: string
- name: idx
struct:
- name: paragraph
dtype: int32
- name: question
dtype: int32
- name: answer
dtype: int32
- name: label
dtype:
class_label:
names:
'0': 'False'
'1': 'True'
- name: template_name
dtype: string
- name: template
dtype: string
- name: rendered_input
dtype: string
- name: rendered_output
dtype: string
splits:
- name: train
num_bytes: 983624514.0
num_examples: 272430
- name: validation
num_bytes: 165740009.0
num_examples: 48480
- name: test
num_bytes: 320810220.0
num_examples: 96930
download_size: 95834507
dataset_size: 1470174743.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
|
marcov/squad_promptsource | marcov | "2024-11-25T00:02:56Z" | 0 | 0 | [
"size_categories:100K<n<1M",
"format:parquet",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-25T00:01:53Z" | ---
dataset_info:
features:
- name: id
dtype: string
- name: title
dtype: string
- name: context
dtype: string
- name: question
dtype: string
- name: answers
sequence:
- name: text
dtype: string
- name: answer_start
dtype: int32
- name: template_name
dtype: string
- name: template
dtype: string
- name: rendered_input
dtype: string
- name: rendered_output
dtype: string
splits:
- name: train
num_bytes: 1019469162.0
num_examples: 525594
- name: validation
num_bytes: 129950110.0
num_examples: 63420
download_size: 208046731
dataset_size: 1149419272.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
---
|
marcov/banking77_promptsource | marcov | "2024-11-25T00:03:23Z" | 0 | 0 | [
"size_categories:10K<n<100K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-25T00:03:16Z" | ---
dataset_info:
features:
- name: text
dtype: string
- name: label
dtype:
class_label:
names:
'0': activate_my_card
'1': age_limit
'2': apple_pay_or_google_pay
'3': atm_support
'4': automatic_top_up
'5': balance_not_updated_after_bank_transfer
'6': balance_not_updated_after_cheque_or_cash_deposit
'7': beneficiary_not_allowed
'8': cancel_transfer
'9': card_about_to_expire
'10': card_acceptance
'11': card_arrival
'12': card_delivery_estimate
'13': card_linking
'14': card_not_working
'15': card_payment_fee_charged
'16': card_payment_not_recognised
'17': card_payment_wrong_exchange_rate
'18': card_swallowed
'19': cash_withdrawal_charge
'20': cash_withdrawal_not_recognised
'21': change_pin
'22': compromised_card
'23': contactless_not_working
'24': country_support
'25': declined_card_payment
'26': declined_cash_withdrawal
'27': declined_transfer
'28': direct_debit_payment_not_recognised
'29': disposable_card_limits
'30': edit_personal_details
'31': exchange_charge
'32': exchange_rate
'33': exchange_via_app
'34': extra_charge_on_statement
'35': failed_transfer
'36': fiat_currency_support
'37': get_disposable_virtual_card
'38': get_physical_card
'39': getting_spare_card
'40': getting_virtual_card
'41': lost_or_stolen_card
'42': lost_or_stolen_phone
'43': order_physical_card
'44': passcode_forgotten
'45': pending_card_payment
'46': pending_cash_withdrawal
'47': pending_top_up
'48': pending_transfer
'49': pin_blocked
'50': receiving_money
'51': Refund_not_showing_up
'52': request_refund
'53': reverted_card_payment?
'54': supported_cards_and_currencies
'55': terminate_account
'56': top_up_by_bank_transfer_charge
'57': top_up_by_card_charge
'58': top_up_by_cash_or_cheque
'59': top_up_failed
'60': top_up_limits
'61': top_up_reverted
'62': topping_up_by_card
'63': transaction_charged_twice
'64': transfer_fee_charged
'65': transfer_into_account
'66': transfer_not_received_by_recipient
'67': transfer_timing
'68': unable_to_verify_identity
'69': verify_my_identity
'70': verify_source_of_funds
'71': verify_top_up
'72': virtual_card_not_working
'73': visa_or_mastercard
'74': why_verify_identity
'75': wrong_amount_of_cash_received
'76': wrong_exchange_rate_for_cash_withdrawal
- name: template_name
dtype: string
- name: template
dtype: string
- name: rendered_input
dtype: string
- name: rendered_output
dtype: string
splits:
- name: train
num_bytes: 65005487.0
num_examples: 70021
- name: test
num_bytes: 19774300.0
num_examples: 21560
download_size: 9846222
dataset_size: 84779787.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
|
ibrahima77/ansd_data | ibrahima77 | "2024-11-25T00:04:23Z" | 0 | 0 | [
"size_categories:n<1K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-25T00:04:22Z" | ---
dataset_info:
features:
- name: instruction
dtype: string
- name: input
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 11031
num_examples: 57
download_size: 3759
dataset_size: 11031
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
open-llm-leaderboard/dwikitheduck__gemma-2-2b-id-inst-details | open-llm-leaderboard | "2024-11-25T00:13:08Z" | 0 | 0 | [
"size_categories:10K<n<100K",
"format:json",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-25T00:09:53Z" | ---
pretty_name: Evaluation run of dwikitheduck/gemma-2-2b-id-inst
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [dwikitheduck/gemma-2-2b-id-inst](https://huggingface.co/dwikitheduck/gemma-2-2b-id-inst)\n\
The dataset is composed of 38 configuration(s), each one corresponding to one of\
\ the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can\
\ be found as a specific split in each configuration, the split being named using\
\ the timestamp of the run.The \"train\" split is always pointing to the latest\
\ results.\n\nAn additional configuration \"results\" store all the aggregated results\
\ of the run.\n\nTo load the details from a run, you can for instance do the following:\n\
```python\nfrom datasets import load_dataset\ndata = load_dataset(\n\t\"open-llm-leaderboard/dwikitheduck__gemma-2-2b-id-inst-details\"\
,\n\tname=\"dwikitheduck__gemma-2-2b-id-inst__leaderboard_bbh_boolean_expressions\"\
,\n\tsplit=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results\
\ from run 2024-11-25T00-09-52.794752](https://huggingface.co/datasets/open-llm-leaderboard/dwikitheduck__gemma-2-2b-id-inst-details/blob/main/dwikitheduck__gemma-2-2b-id-inst/results_2024-11-25T00-09-52.794752.json)\
\ (note that there might be results for other tasks in the repos if successive evals\
\ didn't cover the same tasks. You find each in the results and the \"latest\" split\
\ for each eval):\n\n```python\n{\n \"all\": {\n \"leaderboard\": {\n\
\ \"exact_match,none\": 0.005287009063444109,\n \"exact_match_stderr,none\"\
: 0.0019917716079740945,\n \"prompt_level_loose_acc,none\": 0.3456561922365989,\n\
\ \"prompt_level_loose_acc_stderr,none\": 0.02046577943268254,\n \
\ \"inst_level_loose_acc,none\": 0.46522781774580335,\n \"inst_level_loose_acc_stderr,none\"\
: \"N/A\",\n \"inst_level_strict_acc,none\": 0.4448441247002398,\n \
\ \"inst_level_strict_acc_stderr,none\": \"N/A\",\n \"acc_norm,none\"\
: 0.38085354780127123,\n \"acc_norm_stderr,none\": 0.005239255930135823,\n\
\ \"acc,none\": 0.21733710106382978,\n \"acc_stderr,none\"\
: 0.003760135064928948,\n \"prompt_level_strict_acc,none\": 0.33086876155268025,\n\
\ \"prompt_level_strict_acc_stderr,none\": 0.020248210903191927,\n \
\ \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\":\
\ {\n \"acc_norm,none\": 0.3933344905398368,\n \"acc_norm_stderr,none\"\
: 0.0060348527414798335,\n \"alias\": \" - leaderboard_bbh\"\n \
\ },\n \"leaderboard_bbh_boolean_expressions\": {\n \"alias\"\
: \" - leaderboard_bbh_boolean_expressions\",\n \"acc_norm,none\": 0.708,\n\
\ \"acc_norm_stderr,none\": 0.028814320402205634\n },\n \
\ \"leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\
,\n \"acc_norm,none\": 0.5508021390374331,\n \"acc_norm_stderr,none\"\
: 0.0364720501817238\n },\n \"leaderboard_bbh_date_understanding\"\
: {\n \"alias\": \" - leaderboard_bbh_date_understanding\",\n \
\ \"acc_norm,none\": 0.384,\n \"acc_norm_stderr,none\": 0.030821679117375447\n\
\ },\n \"leaderboard_bbh_disambiguation_qa\": {\n \"alias\"\
: \" - leaderboard_bbh_disambiguation_qa\",\n \"acc_norm,none\": 0.388,\n\
\ \"acc_norm_stderr,none\": 0.030881038748993974\n },\n \
\ \"leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\
,\n \"acc_norm,none\": 0.5,\n \"acc_norm_stderr,none\": 0.031686212526223896\n\
\ },\n \"leaderboard_bbh_geometric_shapes\": {\n \"alias\"\
: \" - leaderboard_bbh_geometric_shapes\",\n \"acc_norm,none\": 0.388,\n\
\ \"acc_norm_stderr,none\": 0.030881038748993974\n },\n \
\ \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \" - leaderboard_bbh_hyperbaton\"\
,\n \"acc_norm,none\": 0.652,\n \"acc_norm_stderr,none\":\
\ 0.030186568464511673\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\
: {\n \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\
,\n \"acc_norm,none\": 0.272,\n \"acc_norm_stderr,none\":\
\ 0.028200088296309975\n },\n \"leaderboard_bbh_logical_deduction_seven_objects\"\
: {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\
,\n \"acc_norm,none\": 0.224,\n \"acc_norm_stderr,none\":\
\ 0.026421361687347884\n },\n \"leaderboard_bbh_logical_deduction_three_objects\"\
: {\n \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\
,\n \"acc_norm,none\": 0.476,\n \"acc_norm_stderr,none\":\
\ 0.03164968895968774\n },\n \"leaderboard_bbh_movie_recommendation\"\
: {\n \"alias\": \" - leaderboard_bbh_movie_recommendation\",\n \
\ \"acc_norm,none\": 0.644,\n \"acc_norm_stderr,none\": 0.0303436806571532\n\
\ },\n \"leaderboard_bbh_navigate\": {\n \"alias\": \"\
\ - leaderboard_bbh_navigate\",\n \"acc_norm,none\": 0.58,\n \
\ \"acc_norm_stderr,none\": 0.03127799950463661\n },\n \"leaderboard_bbh_object_counting\"\
: {\n \"alias\": \" - leaderboard_bbh_object_counting\",\n \
\ \"acc_norm,none\": 0.228,\n \"acc_norm_stderr,none\": 0.026587432487268498\n\
\ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"\
alias\": \" - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\"\
: 0.3904109589041096,\n \"acc_norm_stderr,none\": 0.040513109165891854\n\
\ },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \
\ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\",\n\
\ \"acc_norm,none\": 0.256,\n \"acc_norm_stderr,none\": 0.027657108718204846\n\
\ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \"\
\ - leaderboard_bbh_ruin_names\",\n \"acc_norm,none\": 0.22,\n \
\ \"acc_norm_stderr,none\": 0.026251792824605793\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\
: {\n \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\"\
,\n \"acc_norm,none\": 0.328,\n \"acc_norm_stderr,none\":\
\ 0.029752391824475363\n },\n \"leaderboard_bbh_snarks\": {\n \
\ \"alias\": \" - leaderboard_bbh_snarks\",\n \"acc_norm,none\"\
: 0.5,\n \"acc_norm_stderr,none\": 0.03758230140014144\n },\n\
\ \"leaderboard_bbh_sports_understanding\": {\n \"alias\": \"\
\ - leaderboard_bbh_sports_understanding\",\n \"acc_norm,none\": 0.58,\n\
\ \"acc_norm_stderr,none\": 0.03127799950463661\n },\n \
\ \"leaderboard_bbh_temporal_sequences\": {\n \"alias\": \" - leaderboard_bbh_temporal_sequences\"\
,\n \"acc_norm,none\": 0.136,\n \"acc_norm_stderr,none\":\
\ 0.021723342617052086\n },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\"\
: {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\
,\n \"acc_norm,none\": 0.14,\n \"acc_norm_stderr,none\": 0.021989409645240245\n\
\ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\
: {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\
,\n \"acc_norm,none\": 0.136,\n \"acc_norm_stderr,none\":\
\ 0.021723342617052086\n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\
: {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\
,\n \"acc_norm,none\": 0.316,\n \"acc_norm_stderr,none\":\
\ 0.029462657598578648\n },\n \"leaderboard_bbh_web_of_lies\": {\n\
\ \"alias\": \" - leaderboard_bbh_web_of_lies\",\n \"acc_norm,none\"\
: 0.512,\n \"acc_norm_stderr,none\": 0.03167708558254714\n },\n\
\ \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.29949664429530204,\n\
\ \"acc_norm_stderr,none\": 0.013281482512836132,\n \"alias\"\
: \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n\
\ \"alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\"\
: 0.2828282828282828,\n \"acc_norm_stderr,none\": 0.032087795587867514\n\
\ },\n \"leaderboard_gpqa_extended\": {\n \"alias\": \"\
\ - leaderboard_gpqa_extended\",\n \"acc_norm,none\": 0.30036630036630035,\n\
\ \"acc_norm_stderr,none\": 0.019636438043304946\n },\n \
\ \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\
,\n \"acc_norm,none\": 0.30580357142857145,\n \"acc_norm_stderr,none\"\
: 0.021792582688757046\n },\n \"leaderboard_ifeval\": {\n \
\ \"alias\": \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\"\
: 0.33086876155268025,\n \"prompt_level_strict_acc_stderr,none\": 0.020248210903191927,\n\
\ \"inst_level_strict_acc,none\": 0.4448441247002398,\n \"\
inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\
: 0.3456561922365989,\n \"prompt_level_loose_acc_stderr,none\": 0.02046577943268254,\n\
\ \"inst_level_loose_acc,none\": 0.46522781774580335,\n \"\
inst_level_loose_acc_stderr,none\": \"N/A\"\n },\n \"leaderboard_math_hard\"\
: {\n \"exact_match,none\": 0.005287009063444109,\n \"exact_match_stderr,none\"\
: 0.0019917716079740945,\n \"alias\": \" - leaderboard_math_hard\"\n\
\ },\n \"leaderboard_math_algebra_hard\": {\n \"alias\"\
: \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\": 0.009771986970684038,\n\
\ \"exact_match_stderr,none\": 0.005623391633915856\n },\n \
\ \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\": \"\
\ - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\
: 0.0,\n \"exact_match_stderr,none\": 0.0\n },\n \"leaderboard_math_geometry_hard\"\
: {\n \"alias\": \" - leaderboard_math_geometry_hard\",\n \
\ \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\": 0.0\n \
\ },\n \"leaderboard_math_intermediate_algebra_hard\": {\n \
\ \"alias\": \" - leaderboard_math_intermediate_algebra_hard\",\n \
\ \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\": 0.0\n \
\ },\n \"leaderboard_math_num_theory_hard\": {\n \"alias\"\
: \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\": 0.006493506493506494,\n\
\ \"exact_match_stderr,none\": 0.006493506493506494\n },\n \
\ \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\
,\n \"exact_match,none\": 0.015544041450777202,\n \"exact_match_stderr,none\"\
: 0.00892749271508434\n },\n \"leaderboard_math_precalculus_hard\"\
: {\n \"alias\": \" - leaderboard_math_precalculus_hard\",\n \
\ \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\": 0.0\n\
\ },\n \"leaderboard_mmlu_pro\": {\n \"alias\": \" - leaderboard_mmlu_pro\"\
,\n \"acc,none\": 0.21733710106382978,\n \"acc_stderr,none\"\
: 0.003760135064928948\n },\n \"leaderboard_musr\": {\n \
\ \"acc_norm,none\": 0.414021164021164,\n \"acc_norm_stderr,none\":\
\ 0.01734465165509412,\n \"alias\": \" - leaderboard_musr\"\n \
\ },\n \"leaderboard_musr_murder_mysteries\": {\n \"alias\": \"\
\ - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\": 0.524,\n\
\ \"acc_norm_stderr,none\": 0.03164968895968774\n },\n \
\ \"leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\
,\n \"acc_norm,none\": 0.23828125,\n \"acc_norm_stderr,none\"\
: 0.026679160987075002\n },\n \"leaderboard_musr_team_allocation\"\
: {\n \"alias\": \" - leaderboard_musr_team_allocation\",\n \
\ \"acc_norm,none\": 0.484,\n \"acc_norm_stderr,none\": 0.03166998503010743\n\
\ }\n },\n \"leaderboard\": {\n \"exact_match,none\": 0.005287009063444109,\n\
\ \"exact_match_stderr,none\": 0.0019917716079740945,\n \"prompt_level_loose_acc,none\"\
: 0.3456561922365989,\n \"prompt_level_loose_acc_stderr,none\": 0.02046577943268254,\n\
\ \"inst_level_loose_acc,none\": 0.46522781774580335,\n \"inst_level_loose_acc_stderr,none\"\
: \"N/A\",\n \"inst_level_strict_acc,none\": 0.4448441247002398,\n \
\ \"inst_level_strict_acc_stderr,none\": \"N/A\",\n \"acc_norm,none\": 0.38085354780127123,\n\
\ \"acc_norm_stderr,none\": 0.005239255930135823,\n \"acc,none\":\
\ 0.21733710106382978,\n \"acc_stderr,none\": 0.003760135064928948,\n \
\ \"prompt_level_strict_acc,none\": 0.33086876155268025,\n \"prompt_level_strict_acc_stderr,none\"\
: 0.020248210903191927,\n \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\"\
: {\n \"acc_norm,none\": 0.3933344905398368,\n \"acc_norm_stderr,none\"\
: 0.0060348527414798335,\n \"alias\": \" - leaderboard_bbh\"\n },\n \
\ \"leaderboard_bbh_boolean_expressions\": {\n \"alias\": \" - leaderboard_bbh_boolean_expressions\"\
,\n \"acc_norm,none\": 0.708,\n \"acc_norm_stderr,none\": 0.028814320402205634\n\
\ },\n \"leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\
,\n \"acc_norm,none\": 0.5508021390374331,\n \"acc_norm_stderr,none\"\
: 0.0364720501817238\n },\n \"leaderboard_bbh_date_understanding\": {\n \
\ \"alias\": \" - leaderboard_bbh_date_understanding\",\n \"acc_norm,none\"\
: 0.384,\n \"acc_norm_stderr,none\": 0.030821679117375447\n },\n \"\
leaderboard_bbh_disambiguation_qa\": {\n \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\
,\n \"acc_norm,none\": 0.388,\n \"acc_norm_stderr,none\": 0.030881038748993974\n\
\ },\n \"leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\
,\n \"acc_norm,none\": 0.5,\n \"acc_norm_stderr,none\": 0.031686212526223896\n\
\ },\n \"leaderboard_bbh_geometric_shapes\": {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\
,\n \"acc_norm,none\": 0.388,\n \"acc_norm_stderr,none\": 0.030881038748993974\n\
\ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \" - leaderboard_bbh_hyperbaton\"\
,\n \"acc_norm,none\": 0.652,\n \"acc_norm_stderr,none\": 0.030186568464511673\n\
\ },\n \"leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\"\
: \" - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\
: 0.272,\n \"acc_norm_stderr,none\": 0.028200088296309975\n },\n \"\
leaderboard_bbh_logical_deduction_seven_objects\": {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\
,\n \"acc_norm,none\": 0.224,\n \"acc_norm_stderr,none\": 0.026421361687347884\n\
\ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \"\
alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n \"acc_norm,none\"\
: 0.476,\n \"acc_norm_stderr,none\": 0.03164968895968774\n },\n \"\
leaderboard_bbh_movie_recommendation\": {\n \"alias\": \" - leaderboard_bbh_movie_recommendation\"\
,\n \"acc_norm,none\": 0.644,\n \"acc_norm_stderr,none\": 0.0303436806571532\n\
\ },\n \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\
,\n \"acc_norm,none\": 0.58,\n \"acc_norm_stderr,none\": 0.03127799950463661\n\
\ },\n \"leaderboard_bbh_object_counting\": {\n \"alias\": \" - leaderboard_bbh_object_counting\"\
,\n \"acc_norm,none\": 0.228,\n \"acc_norm_stderr,none\": 0.026587432487268498\n\
\ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"alias\": \" \
\ - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\": 0.3904109589041096,\n\
\ \"acc_norm_stderr,none\": 0.040513109165891854\n },\n \"leaderboard_bbh_reasoning_about_colored_objects\"\
: {\n \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\
,\n \"acc_norm,none\": 0.256,\n \"acc_norm_stderr,none\": 0.027657108718204846\n\
\ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \" - leaderboard_bbh_ruin_names\"\
,\n \"acc_norm,none\": 0.22,\n \"acc_norm_stderr,none\": 0.026251792824605793\n\
\ },\n \"leaderboard_bbh_salient_translation_error_detection\": {\n \
\ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\",\n \
\ \"acc_norm,none\": 0.328,\n \"acc_norm_stderr,none\": 0.029752391824475363\n\
\ },\n \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\
,\n \"acc_norm,none\": 0.5,\n \"acc_norm_stderr,none\": 0.03758230140014144\n\
\ },\n \"leaderboard_bbh_sports_understanding\": {\n \"alias\": \"\
\ - leaderboard_bbh_sports_understanding\",\n \"acc_norm,none\": 0.58,\n\
\ \"acc_norm_stderr,none\": 0.03127799950463661\n },\n \"leaderboard_bbh_temporal_sequences\"\
: {\n \"alias\": \" - leaderboard_bbh_temporal_sequences\",\n \"\
acc_norm,none\": 0.136,\n \"acc_norm_stderr,none\": 0.021723342617052086\n\
\ },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \
\ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\
,\n \"acc_norm,none\": 0.14,\n \"acc_norm_stderr,none\": 0.021989409645240245\n\
\ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \
\ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\
,\n \"acc_norm,none\": 0.136,\n \"acc_norm_stderr,none\": 0.021723342617052086\n\
\ },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \
\ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\
,\n \"acc_norm,none\": 0.316,\n \"acc_norm_stderr,none\": 0.029462657598578648\n\
\ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\": \" - leaderboard_bbh_web_of_lies\"\
,\n \"acc_norm,none\": 0.512,\n \"acc_norm_stderr,none\": 0.03167708558254714\n\
\ },\n \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.29949664429530204,\n\
\ \"acc_norm_stderr,none\": 0.013281482512836132,\n \"alias\": \"\
\ - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n \"\
alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\": 0.2828282828282828,\n\
\ \"acc_norm_stderr,none\": 0.032087795587867514\n },\n \"leaderboard_gpqa_extended\"\
: {\n \"alias\": \" - leaderboard_gpqa_extended\",\n \"acc_norm,none\"\
: 0.30036630036630035,\n \"acc_norm_stderr,none\": 0.019636438043304946\n\
\ },\n \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\
,\n \"acc_norm,none\": 0.30580357142857145,\n \"acc_norm_stderr,none\"\
: 0.021792582688757046\n },\n \"leaderboard_ifeval\": {\n \"alias\"\
: \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\": 0.33086876155268025,\n\
\ \"prompt_level_strict_acc_stderr,none\": 0.020248210903191927,\n \
\ \"inst_level_strict_acc,none\": 0.4448441247002398,\n \"inst_level_strict_acc_stderr,none\"\
: \"N/A\",\n \"prompt_level_loose_acc,none\": 0.3456561922365989,\n \
\ \"prompt_level_loose_acc_stderr,none\": 0.02046577943268254,\n \"inst_level_loose_acc,none\"\
: 0.46522781774580335,\n \"inst_level_loose_acc_stderr,none\": \"N/A\"\n\
\ },\n \"leaderboard_math_hard\": {\n \"exact_match,none\": 0.005287009063444109,\n\
\ \"exact_match_stderr,none\": 0.0019917716079740945,\n \"alias\"\
: \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\": {\n\
\ \"alias\": \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\"\
: 0.009771986970684038,\n \"exact_match_stderr,none\": 0.005623391633915856\n\
\ },\n \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\":\
\ \" - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\
: 0.0,\n \"exact_match_stderr,none\": 0.0\n },\n \"leaderboard_math_geometry_hard\"\
: {\n \"alias\": \" - leaderboard_math_geometry_hard\",\n \"exact_match,none\"\
: 0.0,\n \"exact_match_stderr,none\": 0.0\n },\n \"leaderboard_math_intermediate_algebra_hard\"\
: {\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\",\n \
\ \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\": 0.0\n \
\ },\n \"leaderboard_math_num_theory_hard\": {\n \"alias\": \" - leaderboard_math_num_theory_hard\"\
,\n \"exact_match,none\": 0.006493506493506494,\n \"exact_match_stderr,none\"\
: 0.006493506493506494\n },\n \"leaderboard_math_prealgebra_hard\": {\n \
\ \"alias\": \" - leaderboard_math_prealgebra_hard\",\n \"exact_match,none\"\
: 0.015544041450777202,\n \"exact_match_stderr,none\": 0.00892749271508434\n\
\ },\n \"leaderboard_math_precalculus_hard\": {\n \"alias\": \" -\
\ leaderboard_math_precalculus_hard\",\n \"exact_match,none\": 0.0,\n \
\ \"exact_match_stderr,none\": 0.0\n },\n \"leaderboard_mmlu_pro\": {\n\
\ \"alias\": \" - leaderboard_mmlu_pro\",\n \"acc,none\": 0.21733710106382978,\n\
\ \"acc_stderr,none\": 0.003760135064928948\n },\n \"leaderboard_musr\"\
: {\n \"acc_norm,none\": 0.414021164021164,\n \"acc_norm_stderr,none\"\
: 0.01734465165509412,\n \"alias\": \" - leaderboard_musr\"\n },\n \
\ \"leaderboard_musr_murder_mysteries\": {\n \"alias\": \" - leaderboard_musr_murder_mysteries\"\
,\n \"acc_norm,none\": 0.524,\n \"acc_norm_stderr,none\": 0.03164968895968774\n\
\ },\n \"leaderboard_musr_object_placements\": {\n \"alias\": \" -\
\ leaderboard_musr_object_placements\",\n \"acc_norm,none\": 0.23828125,\n\
\ \"acc_norm_stderr,none\": 0.026679160987075002\n },\n \"leaderboard_musr_team_allocation\"\
: {\n \"alias\": \" - leaderboard_musr_team_allocation\",\n \"acc_norm,none\"\
: 0.484,\n \"acc_norm_stderr,none\": 0.03166998503010743\n }\n}\n```"
repo_url: https://huggingface.co/dwikitheduck/gemma-2-2b-id-inst
leaderboard_url: ''
point_of_contact: ''
configs:
- config_name: dwikitheduck__gemma-2-2b-id-inst__leaderboard_bbh_boolean_expressions
data_files:
- split: 2024_11_25T00_09_52.794752
path:
- '**/samples_leaderboard_bbh_boolean_expressions_2024-11-25T00-09-52.794752.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_boolean_expressions_2024-11-25T00-09-52.794752.jsonl'
- config_name: dwikitheduck__gemma-2-2b-id-inst__leaderboard_bbh_causal_judgement
data_files:
- split: 2024_11_25T00_09_52.794752
path:
- '**/samples_leaderboard_bbh_causal_judgement_2024-11-25T00-09-52.794752.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_causal_judgement_2024-11-25T00-09-52.794752.jsonl'
- config_name: dwikitheduck__gemma-2-2b-id-inst__leaderboard_bbh_date_understanding
data_files:
- split: 2024_11_25T00_09_52.794752
path:
- '**/samples_leaderboard_bbh_date_understanding_2024-11-25T00-09-52.794752.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_date_understanding_2024-11-25T00-09-52.794752.jsonl'
- config_name: dwikitheduck__gemma-2-2b-id-inst__leaderboard_bbh_disambiguation_qa
data_files:
- split: 2024_11_25T00_09_52.794752
path:
- '**/samples_leaderboard_bbh_disambiguation_qa_2024-11-25T00-09-52.794752.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_disambiguation_qa_2024-11-25T00-09-52.794752.jsonl'
- config_name: dwikitheduck__gemma-2-2b-id-inst__leaderboard_bbh_formal_fallacies
data_files:
- split: 2024_11_25T00_09_52.794752
path:
- '**/samples_leaderboard_bbh_formal_fallacies_2024-11-25T00-09-52.794752.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_formal_fallacies_2024-11-25T00-09-52.794752.jsonl'
- config_name: dwikitheduck__gemma-2-2b-id-inst__leaderboard_bbh_geometric_shapes
data_files:
- split: 2024_11_25T00_09_52.794752
path:
- '**/samples_leaderboard_bbh_geometric_shapes_2024-11-25T00-09-52.794752.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_geometric_shapes_2024-11-25T00-09-52.794752.jsonl'
- config_name: dwikitheduck__gemma-2-2b-id-inst__leaderboard_bbh_hyperbaton
data_files:
- split: 2024_11_25T00_09_52.794752
path:
- '**/samples_leaderboard_bbh_hyperbaton_2024-11-25T00-09-52.794752.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_hyperbaton_2024-11-25T00-09-52.794752.jsonl'
- config_name: dwikitheduck__gemma-2-2b-id-inst__leaderboard_bbh_logical_deduction_five_objects
data_files:
- split: 2024_11_25T00_09_52.794752
path:
- '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-11-25T00-09-52.794752.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-11-25T00-09-52.794752.jsonl'
- config_name: dwikitheduck__gemma-2-2b-id-inst__leaderboard_bbh_logical_deduction_seven_objects
data_files:
- split: 2024_11_25T00_09_52.794752
path:
- '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-11-25T00-09-52.794752.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-11-25T00-09-52.794752.jsonl'
- config_name: dwikitheduck__gemma-2-2b-id-inst__leaderboard_bbh_logical_deduction_three_objects
data_files:
- split: 2024_11_25T00_09_52.794752
path:
- '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-11-25T00-09-52.794752.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-11-25T00-09-52.794752.jsonl'
- config_name: dwikitheduck__gemma-2-2b-id-inst__leaderboard_bbh_movie_recommendation
data_files:
- split: 2024_11_25T00_09_52.794752
path:
- '**/samples_leaderboard_bbh_movie_recommendation_2024-11-25T00-09-52.794752.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_movie_recommendation_2024-11-25T00-09-52.794752.jsonl'
- config_name: dwikitheduck__gemma-2-2b-id-inst__leaderboard_bbh_navigate
data_files:
- split: 2024_11_25T00_09_52.794752
path:
- '**/samples_leaderboard_bbh_navigate_2024-11-25T00-09-52.794752.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_navigate_2024-11-25T00-09-52.794752.jsonl'
- config_name: dwikitheduck__gemma-2-2b-id-inst__leaderboard_bbh_object_counting
data_files:
- split: 2024_11_25T00_09_52.794752
path:
- '**/samples_leaderboard_bbh_object_counting_2024-11-25T00-09-52.794752.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_object_counting_2024-11-25T00-09-52.794752.jsonl'
- config_name: dwikitheduck__gemma-2-2b-id-inst__leaderboard_bbh_penguins_in_a_table
data_files:
- split: 2024_11_25T00_09_52.794752
path:
- '**/samples_leaderboard_bbh_penguins_in_a_table_2024-11-25T00-09-52.794752.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_penguins_in_a_table_2024-11-25T00-09-52.794752.jsonl'
- config_name: dwikitheduck__gemma-2-2b-id-inst__leaderboard_bbh_reasoning_about_colored_objects
data_files:
- split: 2024_11_25T00_09_52.794752
path:
- '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-11-25T00-09-52.794752.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-11-25T00-09-52.794752.jsonl'
- config_name: dwikitheduck__gemma-2-2b-id-inst__leaderboard_bbh_ruin_names
data_files:
- split: 2024_11_25T00_09_52.794752
path:
- '**/samples_leaderboard_bbh_ruin_names_2024-11-25T00-09-52.794752.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_ruin_names_2024-11-25T00-09-52.794752.jsonl'
- config_name: dwikitheduck__gemma-2-2b-id-inst__leaderboard_bbh_salient_translation_error_detection
data_files:
- split: 2024_11_25T00_09_52.794752
path:
- '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-11-25T00-09-52.794752.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-11-25T00-09-52.794752.jsonl'
- config_name: dwikitheduck__gemma-2-2b-id-inst__leaderboard_bbh_snarks
data_files:
- split: 2024_11_25T00_09_52.794752
path:
- '**/samples_leaderboard_bbh_snarks_2024-11-25T00-09-52.794752.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_snarks_2024-11-25T00-09-52.794752.jsonl'
- config_name: dwikitheduck__gemma-2-2b-id-inst__leaderboard_bbh_sports_understanding
data_files:
- split: 2024_11_25T00_09_52.794752
path:
- '**/samples_leaderboard_bbh_sports_understanding_2024-11-25T00-09-52.794752.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_sports_understanding_2024-11-25T00-09-52.794752.jsonl'
- config_name: dwikitheduck__gemma-2-2b-id-inst__leaderboard_bbh_temporal_sequences
data_files:
- split: 2024_11_25T00_09_52.794752
path:
- '**/samples_leaderboard_bbh_temporal_sequences_2024-11-25T00-09-52.794752.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_temporal_sequences_2024-11-25T00-09-52.794752.jsonl'
- config_name: dwikitheduck__gemma-2-2b-id-inst__leaderboard_bbh_tracking_shuffled_objects_five_objects
data_files:
- split: 2024_11_25T00_09_52.794752
path:
- '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-11-25T00-09-52.794752.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-11-25T00-09-52.794752.jsonl'
- config_name: dwikitheduck__gemma-2-2b-id-inst__leaderboard_bbh_tracking_shuffled_objects_seven_objects
data_files:
- split: 2024_11_25T00_09_52.794752
path:
- '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-11-25T00-09-52.794752.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-11-25T00-09-52.794752.jsonl'
- config_name: dwikitheduck__gemma-2-2b-id-inst__leaderboard_bbh_tracking_shuffled_objects_three_objects
data_files:
- split: 2024_11_25T00_09_52.794752
path:
- '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-11-25T00-09-52.794752.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-11-25T00-09-52.794752.jsonl'
- config_name: dwikitheduck__gemma-2-2b-id-inst__leaderboard_bbh_web_of_lies
data_files:
- split: 2024_11_25T00_09_52.794752
path:
- '**/samples_leaderboard_bbh_web_of_lies_2024-11-25T00-09-52.794752.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_web_of_lies_2024-11-25T00-09-52.794752.jsonl'
- config_name: dwikitheduck__gemma-2-2b-id-inst__leaderboard_gpqa_diamond
data_files:
- split: 2024_11_25T00_09_52.794752
path:
- '**/samples_leaderboard_gpqa_diamond_2024-11-25T00-09-52.794752.jsonl'
- split: latest
path:
- '**/samples_leaderboard_gpqa_diamond_2024-11-25T00-09-52.794752.jsonl'
- config_name: dwikitheduck__gemma-2-2b-id-inst__leaderboard_gpqa_extended
data_files:
- split: 2024_11_25T00_09_52.794752
path:
- '**/samples_leaderboard_gpqa_extended_2024-11-25T00-09-52.794752.jsonl'
- split: latest
path:
- '**/samples_leaderboard_gpqa_extended_2024-11-25T00-09-52.794752.jsonl'
- config_name: dwikitheduck__gemma-2-2b-id-inst__leaderboard_gpqa_main
data_files:
- split: 2024_11_25T00_09_52.794752
path:
- '**/samples_leaderboard_gpqa_main_2024-11-25T00-09-52.794752.jsonl'
- split: latest
path:
- '**/samples_leaderboard_gpqa_main_2024-11-25T00-09-52.794752.jsonl'
- config_name: dwikitheduck__gemma-2-2b-id-inst__leaderboard_ifeval
data_files:
- split: 2024_11_25T00_09_52.794752
path:
- '**/samples_leaderboard_ifeval_2024-11-25T00-09-52.794752.jsonl'
- split: latest
path:
- '**/samples_leaderboard_ifeval_2024-11-25T00-09-52.794752.jsonl'
- config_name: dwikitheduck__gemma-2-2b-id-inst__leaderboard_math_algebra_hard
data_files:
- split: 2024_11_25T00_09_52.794752
path:
- '**/samples_leaderboard_math_algebra_hard_2024-11-25T00-09-52.794752.jsonl'
- split: latest
path:
- '**/samples_leaderboard_math_algebra_hard_2024-11-25T00-09-52.794752.jsonl'
- config_name: dwikitheduck__gemma-2-2b-id-inst__leaderboard_math_counting_and_prob_hard
data_files:
- split: 2024_11_25T00_09_52.794752
path:
- '**/samples_leaderboard_math_counting_and_prob_hard_2024-11-25T00-09-52.794752.jsonl'
- split: latest
path:
- '**/samples_leaderboard_math_counting_and_prob_hard_2024-11-25T00-09-52.794752.jsonl'
- config_name: dwikitheduck__gemma-2-2b-id-inst__leaderboard_math_geometry_hard
data_files:
- split: 2024_11_25T00_09_52.794752
path:
- '**/samples_leaderboard_math_geometry_hard_2024-11-25T00-09-52.794752.jsonl'
- split: latest
path:
- '**/samples_leaderboard_math_geometry_hard_2024-11-25T00-09-52.794752.jsonl'
- config_name: dwikitheduck__gemma-2-2b-id-inst__leaderboard_math_intermediate_algebra_hard
data_files:
- split: 2024_11_25T00_09_52.794752
path:
- '**/samples_leaderboard_math_intermediate_algebra_hard_2024-11-25T00-09-52.794752.jsonl'
- split: latest
path:
- '**/samples_leaderboard_math_intermediate_algebra_hard_2024-11-25T00-09-52.794752.jsonl'
- config_name: dwikitheduck__gemma-2-2b-id-inst__leaderboard_math_num_theory_hard
data_files:
- split: 2024_11_25T00_09_52.794752
path:
- '**/samples_leaderboard_math_num_theory_hard_2024-11-25T00-09-52.794752.jsonl'
- split: latest
path:
- '**/samples_leaderboard_math_num_theory_hard_2024-11-25T00-09-52.794752.jsonl'
- config_name: dwikitheduck__gemma-2-2b-id-inst__leaderboard_math_prealgebra_hard
data_files:
- split: 2024_11_25T00_09_52.794752
path:
- '**/samples_leaderboard_math_prealgebra_hard_2024-11-25T00-09-52.794752.jsonl'
- split: latest
path:
- '**/samples_leaderboard_math_prealgebra_hard_2024-11-25T00-09-52.794752.jsonl'
- config_name: dwikitheduck__gemma-2-2b-id-inst__leaderboard_math_precalculus_hard
data_files:
- split: 2024_11_25T00_09_52.794752
path:
- '**/samples_leaderboard_math_precalculus_hard_2024-11-25T00-09-52.794752.jsonl'
- split: latest
path:
- '**/samples_leaderboard_math_precalculus_hard_2024-11-25T00-09-52.794752.jsonl'
- config_name: dwikitheduck__gemma-2-2b-id-inst__leaderboard_mmlu_pro
data_files:
- split: 2024_11_25T00_09_52.794752
path:
- '**/samples_leaderboard_mmlu_pro_2024-11-25T00-09-52.794752.jsonl'
- split: latest
path:
- '**/samples_leaderboard_mmlu_pro_2024-11-25T00-09-52.794752.jsonl'
- config_name: dwikitheduck__gemma-2-2b-id-inst__leaderboard_musr_murder_mysteries
data_files:
- split: 2024_11_25T00_09_52.794752
path:
- '**/samples_leaderboard_musr_murder_mysteries_2024-11-25T00-09-52.794752.jsonl'
- split: latest
path:
- '**/samples_leaderboard_musr_murder_mysteries_2024-11-25T00-09-52.794752.jsonl'
- config_name: dwikitheduck__gemma-2-2b-id-inst__leaderboard_musr_object_placements
data_files:
- split: 2024_11_25T00_09_52.794752
path:
- '**/samples_leaderboard_musr_object_placements_2024-11-25T00-09-52.794752.jsonl'
- split: latest
path:
- '**/samples_leaderboard_musr_object_placements_2024-11-25T00-09-52.794752.jsonl'
- config_name: dwikitheduck__gemma-2-2b-id-inst__leaderboard_musr_team_allocation
data_files:
- split: 2024_11_25T00_09_52.794752
path:
- '**/samples_leaderboard_musr_team_allocation_2024-11-25T00-09-52.794752.jsonl'
- split: latest
path:
- '**/samples_leaderboard_musr_team_allocation_2024-11-25T00-09-52.794752.jsonl'
---
# Dataset Card for Evaluation run of dwikitheduck/gemma-2-2b-id-inst
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [dwikitheduck/gemma-2-2b-id-inst](https://huggingface.co/dwikitheduck/gemma-2-2b-id-inst)
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional configuration "results" store all the aggregated results of the run.
To load the details from a run, you can for instance do the following:
```python
from datasets import load_dataset
data = load_dataset(
"open-llm-leaderboard/dwikitheduck__gemma-2-2b-id-inst-details",
name="dwikitheduck__gemma-2-2b-id-inst__leaderboard_bbh_boolean_expressions",
split="latest"
)
```
## Latest results
These are the [latest results from run 2024-11-25T00-09-52.794752](https://huggingface.co/datasets/open-llm-leaderboard/dwikitheduck__gemma-2-2b-id-inst-details/blob/main/dwikitheduck__gemma-2-2b-id-inst/results_2024-11-25T00-09-52.794752.json) (note that there might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):
```python
{
"all": {
"leaderboard": {
"exact_match,none": 0.005287009063444109,
"exact_match_stderr,none": 0.0019917716079740945,
"prompt_level_loose_acc,none": 0.3456561922365989,
"prompt_level_loose_acc_stderr,none": 0.02046577943268254,
"inst_level_loose_acc,none": 0.46522781774580335,
"inst_level_loose_acc_stderr,none": "N/A",
"inst_level_strict_acc,none": 0.4448441247002398,
"inst_level_strict_acc_stderr,none": "N/A",
"acc_norm,none": 0.38085354780127123,
"acc_norm_stderr,none": 0.005239255930135823,
"acc,none": 0.21733710106382978,
"acc_stderr,none": 0.003760135064928948,
"prompt_level_strict_acc,none": 0.33086876155268025,
"prompt_level_strict_acc_stderr,none": 0.020248210903191927,
"alias": "leaderboard"
},
"leaderboard_bbh": {
"acc_norm,none": 0.3933344905398368,
"acc_norm_stderr,none": 0.0060348527414798335,
"alias": " - leaderboard_bbh"
},
"leaderboard_bbh_boolean_expressions": {
"alias": " - leaderboard_bbh_boolean_expressions",
"acc_norm,none": 0.708,
"acc_norm_stderr,none": 0.028814320402205634
},
"leaderboard_bbh_causal_judgement": {
"alias": " - leaderboard_bbh_causal_judgement",
"acc_norm,none": 0.5508021390374331,
"acc_norm_stderr,none": 0.0364720501817238
},
"leaderboard_bbh_date_understanding": {
"alias": " - leaderboard_bbh_date_understanding",
"acc_norm,none": 0.384,
"acc_norm_stderr,none": 0.030821679117375447
},
"leaderboard_bbh_disambiguation_qa": {
"alias": " - leaderboard_bbh_disambiguation_qa",
"acc_norm,none": 0.388,
"acc_norm_stderr,none": 0.030881038748993974
},
"leaderboard_bbh_formal_fallacies": {
"alias": " - leaderboard_bbh_formal_fallacies",
"acc_norm,none": 0.5,
"acc_norm_stderr,none": 0.031686212526223896
},
"leaderboard_bbh_geometric_shapes": {
"alias": " - leaderboard_bbh_geometric_shapes",
"acc_norm,none": 0.388,
"acc_norm_stderr,none": 0.030881038748993974
},
"leaderboard_bbh_hyperbaton": {
"alias": " - leaderboard_bbh_hyperbaton",
"acc_norm,none": 0.652,
"acc_norm_stderr,none": 0.030186568464511673
},
"leaderboard_bbh_logical_deduction_five_objects": {
"alias": " - leaderboard_bbh_logical_deduction_five_objects",
"acc_norm,none": 0.272,
"acc_norm_stderr,none": 0.028200088296309975
},
"leaderboard_bbh_logical_deduction_seven_objects": {
"alias": " - leaderboard_bbh_logical_deduction_seven_objects",
"acc_norm,none": 0.224,
"acc_norm_stderr,none": 0.026421361687347884
},
"leaderboard_bbh_logical_deduction_three_objects": {
"alias": " - leaderboard_bbh_logical_deduction_three_objects",
"acc_norm,none": 0.476,
"acc_norm_stderr,none": 0.03164968895968774
},
"leaderboard_bbh_movie_recommendation": {
"alias": " - leaderboard_bbh_movie_recommendation",
"acc_norm,none": 0.644,
"acc_norm_stderr,none": 0.0303436806571532
},
"leaderboard_bbh_navigate": {
"alias": " - leaderboard_bbh_navigate",
"acc_norm,none": 0.58,
"acc_norm_stderr,none": 0.03127799950463661
},
"leaderboard_bbh_object_counting": {
"alias": " - leaderboard_bbh_object_counting",
"acc_norm,none": 0.228,
"acc_norm_stderr,none": 0.026587432487268498
},
"leaderboard_bbh_penguins_in_a_table": {
"alias": " - leaderboard_bbh_penguins_in_a_table",
"acc_norm,none": 0.3904109589041096,
"acc_norm_stderr,none": 0.040513109165891854
},
"leaderboard_bbh_reasoning_about_colored_objects": {
"alias": " - leaderboard_bbh_reasoning_about_colored_objects",
"acc_norm,none": 0.256,
"acc_norm_stderr,none": 0.027657108718204846
},
"leaderboard_bbh_ruin_names": {
"alias": " - leaderboard_bbh_ruin_names",
"acc_norm,none": 0.22,
"acc_norm_stderr,none": 0.026251792824605793
},
"leaderboard_bbh_salient_translation_error_detection": {
"alias": " - leaderboard_bbh_salient_translation_error_detection",
"acc_norm,none": 0.328,
"acc_norm_stderr,none": 0.029752391824475363
},
"leaderboard_bbh_snarks": {
"alias": " - leaderboard_bbh_snarks",
"acc_norm,none": 0.5,
"acc_norm_stderr,none": 0.03758230140014144
},
"leaderboard_bbh_sports_understanding": {
"alias": " - leaderboard_bbh_sports_understanding",
"acc_norm,none": 0.58,
"acc_norm_stderr,none": 0.03127799950463661
},
"leaderboard_bbh_temporal_sequences": {
"alias": " - leaderboard_bbh_temporal_sequences",
"acc_norm,none": 0.136,
"acc_norm_stderr,none": 0.021723342617052086
},
"leaderboard_bbh_tracking_shuffled_objects_five_objects": {
"alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects",
"acc_norm,none": 0.14,
"acc_norm_stderr,none": 0.021989409645240245
},
"leaderboard_bbh_tracking_shuffled_objects_seven_objects": {
"alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects",
"acc_norm,none": 0.136,
"acc_norm_stderr,none": 0.021723342617052086
},
"leaderboard_bbh_tracking_shuffled_objects_three_objects": {
"alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects",
"acc_norm,none": 0.316,
"acc_norm_stderr,none": 0.029462657598578648
},
"leaderboard_bbh_web_of_lies": {
"alias": " - leaderboard_bbh_web_of_lies",
"acc_norm,none": 0.512,
"acc_norm_stderr,none": 0.03167708558254714
},
"leaderboard_gpqa": {
"acc_norm,none": 0.29949664429530204,
"acc_norm_stderr,none": 0.013281482512836132,
"alias": " - leaderboard_gpqa"
},
"leaderboard_gpqa_diamond": {
"alias": " - leaderboard_gpqa_diamond",
"acc_norm,none": 0.2828282828282828,
"acc_norm_stderr,none": 0.032087795587867514
},
"leaderboard_gpqa_extended": {
"alias": " - leaderboard_gpqa_extended",
"acc_norm,none": 0.30036630036630035,
"acc_norm_stderr,none": 0.019636438043304946
},
"leaderboard_gpqa_main": {
"alias": " - leaderboard_gpqa_main",
"acc_norm,none": 0.30580357142857145,
"acc_norm_stderr,none": 0.021792582688757046
},
"leaderboard_ifeval": {
"alias": " - leaderboard_ifeval",
"prompt_level_strict_acc,none": 0.33086876155268025,
"prompt_level_strict_acc_stderr,none": 0.020248210903191927,
"inst_level_strict_acc,none": 0.4448441247002398,
"inst_level_strict_acc_stderr,none": "N/A",
"prompt_level_loose_acc,none": 0.3456561922365989,
"prompt_level_loose_acc_stderr,none": 0.02046577943268254,
"inst_level_loose_acc,none": 0.46522781774580335,
"inst_level_loose_acc_stderr,none": "N/A"
},
"leaderboard_math_hard": {
"exact_match,none": 0.005287009063444109,
"exact_match_stderr,none": 0.0019917716079740945,
"alias": " - leaderboard_math_hard"
},
"leaderboard_math_algebra_hard": {
"alias": " - leaderboard_math_algebra_hard",
"exact_match,none": 0.009771986970684038,
"exact_match_stderr,none": 0.005623391633915856
},
"leaderboard_math_counting_and_prob_hard": {
"alias": " - leaderboard_math_counting_and_prob_hard",
"exact_match,none": 0.0,
"exact_match_stderr,none": 0.0
},
"leaderboard_math_geometry_hard": {
"alias": " - leaderboard_math_geometry_hard",
"exact_match,none": 0.0,
"exact_match_stderr,none": 0.0
},
"leaderboard_math_intermediate_algebra_hard": {
"alias": " - leaderboard_math_intermediate_algebra_hard",
"exact_match,none": 0.0,
"exact_match_stderr,none": 0.0
},
"leaderboard_math_num_theory_hard": {
"alias": " - leaderboard_math_num_theory_hard",
"exact_match,none": 0.006493506493506494,
"exact_match_stderr,none": 0.006493506493506494
},
"leaderboard_math_prealgebra_hard": {
"alias": " - leaderboard_math_prealgebra_hard",
"exact_match,none": 0.015544041450777202,
"exact_match_stderr,none": 0.00892749271508434
},
"leaderboard_math_precalculus_hard": {
"alias": " - leaderboard_math_precalculus_hard",
"exact_match,none": 0.0,
"exact_match_stderr,none": 0.0
},
"leaderboard_mmlu_pro": {
"alias": " - leaderboard_mmlu_pro",
"acc,none": 0.21733710106382978,
"acc_stderr,none": 0.003760135064928948
},
"leaderboard_musr": {
"acc_norm,none": 0.414021164021164,
"acc_norm_stderr,none": 0.01734465165509412,
"alias": " - leaderboard_musr"
},
"leaderboard_musr_murder_mysteries": {
"alias": " - leaderboard_musr_murder_mysteries",
"acc_norm,none": 0.524,
"acc_norm_stderr,none": 0.03164968895968774
},
"leaderboard_musr_object_placements": {
"alias": " - leaderboard_musr_object_placements",
"acc_norm,none": 0.23828125,
"acc_norm_stderr,none": 0.026679160987075002
},
"leaderboard_musr_team_allocation": {
"alias": " - leaderboard_musr_team_allocation",
"acc_norm,none": 0.484,
"acc_norm_stderr,none": 0.03166998503010743
}
},
"leaderboard": {
"exact_match,none": 0.005287009063444109,
"exact_match_stderr,none": 0.0019917716079740945,
"prompt_level_loose_acc,none": 0.3456561922365989,
"prompt_level_loose_acc_stderr,none": 0.02046577943268254,
"inst_level_loose_acc,none": 0.46522781774580335,
"inst_level_loose_acc_stderr,none": "N/A",
"inst_level_strict_acc,none": 0.4448441247002398,
"inst_level_strict_acc_stderr,none": "N/A",
"acc_norm,none": 0.38085354780127123,
"acc_norm_stderr,none": 0.005239255930135823,
"acc,none": 0.21733710106382978,
"acc_stderr,none": 0.003760135064928948,
"prompt_level_strict_acc,none": 0.33086876155268025,
"prompt_level_strict_acc_stderr,none": 0.020248210903191927,
"alias": "leaderboard"
},
"leaderboard_bbh": {
"acc_norm,none": 0.3933344905398368,
"acc_norm_stderr,none": 0.0060348527414798335,
"alias": " - leaderboard_bbh"
},
"leaderboard_bbh_boolean_expressions": {
"alias": " - leaderboard_bbh_boolean_expressions",
"acc_norm,none": 0.708,
"acc_norm_stderr,none": 0.028814320402205634
},
"leaderboard_bbh_causal_judgement": {
"alias": " - leaderboard_bbh_causal_judgement",
"acc_norm,none": 0.5508021390374331,
"acc_norm_stderr,none": 0.0364720501817238
},
"leaderboard_bbh_date_understanding": {
"alias": " - leaderboard_bbh_date_understanding",
"acc_norm,none": 0.384,
"acc_norm_stderr,none": 0.030821679117375447
},
"leaderboard_bbh_disambiguation_qa": {
"alias": " - leaderboard_bbh_disambiguation_qa",
"acc_norm,none": 0.388,
"acc_norm_stderr,none": 0.030881038748993974
},
"leaderboard_bbh_formal_fallacies": {
"alias": " - leaderboard_bbh_formal_fallacies",
"acc_norm,none": 0.5,
"acc_norm_stderr,none": 0.031686212526223896
},
"leaderboard_bbh_geometric_shapes": {
"alias": " - leaderboard_bbh_geometric_shapes",
"acc_norm,none": 0.388,
"acc_norm_stderr,none": 0.030881038748993974
},
"leaderboard_bbh_hyperbaton": {
"alias": " - leaderboard_bbh_hyperbaton",
"acc_norm,none": 0.652,
"acc_norm_stderr,none": 0.030186568464511673
},
"leaderboard_bbh_logical_deduction_five_objects": {
"alias": " - leaderboard_bbh_logical_deduction_five_objects",
"acc_norm,none": 0.272,
"acc_norm_stderr,none": 0.028200088296309975
},
"leaderboard_bbh_logical_deduction_seven_objects": {
"alias": " - leaderboard_bbh_logical_deduction_seven_objects",
"acc_norm,none": 0.224,
"acc_norm_stderr,none": 0.026421361687347884
},
"leaderboard_bbh_logical_deduction_three_objects": {
"alias": " - leaderboard_bbh_logical_deduction_three_objects",
"acc_norm,none": 0.476,
"acc_norm_stderr,none": 0.03164968895968774
},
"leaderboard_bbh_movie_recommendation": {
"alias": " - leaderboard_bbh_movie_recommendation",
"acc_norm,none": 0.644,
"acc_norm_stderr,none": 0.0303436806571532
},
"leaderboard_bbh_navigate": {
"alias": " - leaderboard_bbh_navigate",
"acc_norm,none": 0.58,
"acc_norm_stderr,none": 0.03127799950463661
},
"leaderboard_bbh_object_counting": {
"alias": " - leaderboard_bbh_object_counting",
"acc_norm,none": 0.228,
"acc_norm_stderr,none": 0.026587432487268498
},
"leaderboard_bbh_penguins_in_a_table": {
"alias": " - leaderboard_bbh_penguins_in_a_table",
"acc_norm,none": 0.3904109589041096,
"acc_norm_stderr,none": 0.040513109165891854
},
"leaderboard_bbh_reasoning_about_colored_objects": {
"alias": " - leaderboard_bbh_reasoning_about_colored_objects",
"acc_norm,none": 0.256,
"acc_norm_stderr,none": 0.027657108718204846
},
"leaderboard_bbh_ruin_names": {
"alias": " - leaderboard_bbh_ruin_names",
"acc_norm,none": 0.22,
"acc_norm_stderr,none": 0.026251792824605793
},
"leaderboard_bbh_salient_translation_error_detection": {
"alias": " - leaderboard_bbh_salient_translation_error_detection",
"acc_norm,none": 0.328,
"acc_norm_stderr,none": 0.029752391824475363
},
"leaderboard_bbh_snarks": {
"alias": " - leaderboard_bbh_snarks",
"acc_norm,none": 0.5,
"acc_norm_stderr,none": 0.03758230140014144
},
"leaderboard_bbh_sports_understanding": {
"alias": " - leaderboard_bbh_sports_understanding",
"acc_norm,none": 0.58,
"acc_norm_stderr,none": 0.03127799950463661
},
"leaderboard_bbh_temporal_sequences": {
"alias": " - leaderboard_bbh_temporal_sequences",
"acc_norm,none": 0.136,
"acc_norm_stderr,none": 0.021723342617052086
},
"leaderboard_bbh_tracking_shuffled_objects_five_objects": {
"alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects",
"acc_norm,none": 0.14,
"acc_norm_stderr,none": 0.021989409645240245
},
"leaderboard_bbh_tracking_shuffled_objects_seven_objects": {
"alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects",
"acc_norm,none": 0.136,
"acc_norm_stderr,none": 0.021723342617052086
},
"leaderboard_bbh_tracking_shuffled_objects_three_objects": {
"alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects",
"acc_norm,none": 0.316,
"acc_norm_stderr,none": 0.029462657598578648
},
"leaderboard_bbh_web_of_lies": {
"alias": " - leaderboard_bbh_web_of_lies",
"acc_norm,none": 0.512,
"acc_norm_stderr,none": 0.03167708558254714
},
"leaderboard_gpqa": {
"acc_norm,none": 0.29949664429530204,
"acc_norm_stderr,none": 0.013281482512836132,
"alias": " - leaderboard_gpqa"
},
"leaderboard_gpqa_diamond": {
"alias": " - leaderboard_gpqa_diamond",
"acc_norm,none": 0.2828282828282828,
"acc_norm_stderr,none": 0.032087795587867514
},
"leaderboard_gpqa_extended": {
"alias": " - leaderboard_gpqa_extended",
"acc_norm,none": 0.30036630036630035,
"acc_norm_stderr,none": 0.019636438043304946
},
"leaderboard_gpqa_main": {
"alias": " - leaderboard_gpqa_main",
"acc_norm,none": 0.30580357142857145,
"acc_norm_stderr,none": 0.021792582688757046
},
"leaderboard_ifeval": {
"alias": " - leaderboard_ifeval",
"prompt_level_strict_acc,none": 0.33086876155268025,
"prompt_level_strict_acc_stderr,none": 0.020248210903191927,
"inst_level_strict_acc,none": 0.4448441247002398,
"inst_level_strict_acc_stderr,none": "N/A",
"prompt_level_loose_acc,none": 0.3456561922365989,
"prompt_level_loose_acc_stderr,none": 0.02046577943268254,
"inst_level_loose_acc,none": 0.46522781774580335,
"inst_level_loose_acc_stderr,none": "N/A"
},
"leaderboard_math_hard": {
"exact_match,none": 0.005287009063444109,
"exact_match_stderr,none": 0.0019917716079740945,
"alias": " - leaderboard_math_hard"
},
"leaderboard_math_algebra_hard": {
"alias": " - leaderboard_math_algebra_hard",
"exact_match,none": 0.009771986970684038,
"exact_match_stderr,none": 0.005623391633915856
},
"leaderboard_math_counting_and_prob_hard": {
"alias": " - leaderboard_math_counting_and_prob_hard",
"exact_match,none": 0.0,
"exact_match_stderr,none": 0.0
},
"leaderboard_math_geometry_hard": {
"alias": " - leaderboard_math_geometry_hard",
"exact_match,none": 0.0,
"exact_match_stderr,none": 0.0
},
"leaderboard_math_intermediate_algebra_hard": {
"alias": " - leaderboard_math_intermediate_algebra_hard",
"exact_match,none": 0.0,
"exact_match_stderr,none": 0.0
},
"leaderboard_math_num_theory_hard": {
"alias": " - leaderboard_math_num_theory_hard",
"exact_match,none": 0.006493506493506494,
"exact_match_stderr,none": 0.006493506493506494
},
"leaderboard_math_prealgebra_hard": {
"alias": " - leaderboard_math_prealgebra_hard",
"exact_match,none": 0.015544041450777202,
"exact_match_stderr,none": 0.00892749271508434
},
"leaderboard_math_precalculus_hard": {
"alias": " - leaderboard_math_precalculus_hard",
"exact_match,none": 0.0,
"exact_match_stderr,none": 0.0
},
"leaderboard_mmlu_pro": {
"alias": " - leaderboard_mmlu_pro",
"acc,none": 0.21733710106382978,
"acc_stderr,none": 0.003760135064928948
},
"leaderboard_musr": {
"acc_norm,none": 0.414021164021164,
"acc_norm_stderr,none": 0.01734465165509412,
"alias": " - leaderboard_musr"
},
"leaderboard_musr_murder_mysteries": {
"alias": " - leaderboard_musr_murder_mysteries",
"acc_norm,none": 0.524,
"acc_norm_stderr,none": 0.03164968895968774
},
"leaderboard_musr_object_placements": {
"alias": " - leaderboard_musr_object_placements",
"acc_norm,none": 0.23828125,
"acc_norm_stderr,none": 0.026679160987075002
},
"leaderboard_musr_team_allocation": {
"alias": " - leaderboard_musr_team_allocation",
"acc_norm,none": 0.484,
"acc_norm_stderr,none": 0.03166998503010743
}
}
```
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
### Dataset Sources [optional]
<!-- Provide the basic links for the dataset. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the dataset is intended to be used. -->
### Direct Use
<!-- This section describes suitable use cases for the dataset. -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
[More Information Needed]
## Dataset Structure
<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
[More Information Needed]
## Dataset Creation
### Curation Rationale
<!-- Motivation for the creation of this dataset. -->
[More Information Needed]
### Source Data
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
#### Data Collection and Processing
<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
[More Information Needed]
#### Who are the source data producers?
<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
[More Information Needed]
### Annotations [optional]
<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
#### Annotation process
<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
[More Information Needed]
#### Who are the annotators?
<!-- This section describes the people or systems who created the annotations. -->
[More Information Needed]
#### Personal and Sensitive Information
<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
## Citation [optional]
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Dataset Card Authors [optional]
[More Information Needed]
## Dataset Card Contact
[More Information Needed] |
speedcell4/sts | speedcell4 | "2024-11-25T00:14:38Z" | 0 | 0 | [
"size_categories:1M<n<10M",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-25T00:12:12Z" | ---
dataset_info:
- config_name: sickr
features:
- name: text1
dtype: string
- name: text2
dtype: string
- name: score
dtype: float64
splits:
- name: raw
num_bytes: 1074344
num_examples: 9927
download_size: 355505
dataset_size: 1074344
- config_name: sts12
features:
- name: text1
dtype: string
- name: text2
dtype: string
- name: score
dtype: float64
splits:
- name: raw
num_bytes: 441606
num_examples: 3108
download_size: 236818
dataset_size: 441606
- config_name: sts13
features:
- name: text1
dtype: string
- name: text2
dtype: string
- name: score
dtype: float64
splits:
- name: raw
num_bytes: 183343
num_examples: 1500
download_size: 107652
dataset_size: 183343
- config_name: sts14
features:
- name: text1
dtype: string
- name: text2
dtype: string
- name: score
dtype: float64
splits:
- name: raw
num_bytes: 458674
num_examples: 3750
download_size: 266201
dataset_size: 458674
- config_name: sts15
features:
- name: text1
dtype: string
- name: text2
dtype: string
- name: score
dtype: float64
splits:
- name: raw
num_bytes: 388806
num_examples: 3000
download_size: 209737
dataset_size: 388806
- config_name: sts16
features:
- name: text1
dtype: string
- name: text2
dtype: string
- name: score
dtype: float64
splits:
- name: raw
num_bytes: 170501
num_examples: 1186
download_size: 92030
dataset_size: 170501
- config_name: stsb
features:
- name: text1
dtype: string
- name: text2
dtype: string
- name: score
dtype: float64
splits:
- name: raw
num_bytes: 169942
num_examples: 1379
download_size: 108073
dataset_size: 169942
- config_name: sup
features:
- name: text1
dtype: string
- name: text2
dtype: string
- name: hard_neg
dtype: string
splits:
- name: raw
num_bytes: 51218188
num_examples: 275601
download_size: 33682956
dataset_size: 51218188
- config_name: unsup
features:
- name: text
dtype: string
splits:
- name: raw
num_bytes: 123038621
num_examples: 1000000
download_size: 75725651
dataset_size: 123038621
configs:
- config_name: sickr
data_files:
- split: raw
path: sickr/raw-*
- config_name: sts12
data_files:
- split: raw
path: sts12/raw-*
- config_name: sts13
data_files:
- split: raw
path: sts13/raw-*
- config_name: sts14
data_files:
- split: raw
path: sts14/raw-*
- config_name: sts15
data_files:
- split: raw
path: sts15/raw-*
- config_name: sts16
data_files:
- split: raw
path: sts16/raw-*
- config_name: stsb
data_files:
- split: raw
path: stsb/raw-*
- config_name: sup
data_files:
- split: raw
path: sup/raw-*
- config_name: unsup
data_files:
- split: raw
path: unsup/raw-*
---
|
open-llm-leaderboard/dwikitheduck__gen-inst-1-details | open-llm-leaderboard | "2024-11-25T00:18:36Z" | 0 | 0 | [
"size_categories:10K<n<100K",
"format:json",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-25T00:14:38Z" | ---
pretty_name: Evaluation run of dwikitheduck/gen-inst-1
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [dwikitheduck/gen-inst-1](https://huggingface.co/dwikitheduck/gen-inst-1)\nThe\
\ dataset is composed of 38 configuration(s), each one corresponding to one of the\
\ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\
\ found as a specific split in each configuration, the split being named using the\
\ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\
\nAn additional configuration \"results\" store all the aggregated results of the\
\ run.\n\nTo load the details from a run, you can for instance do the following:\n\
```python\nfrom datasets import load_dataset\ndata = load_dataset(\n\t\"open-llm-leaderboard/dwikitheduck__gen-inst-1-details\"\
,\n\tname=\"dwikitheduck__gen-inst-1__leaderboard_bbh_boolean_expressions\",\n\t\
split=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results from\
\ run 2024-11-25T00-14-37.470143](https://huggingface.co/datasets/open-llm-leaderboard/dwikitheduck__gen-inst-1-details/blob/main/dwikitheduck__gen-inst-1/results_2024-11-25T00-14-37.470143.json)\
\ (note that there might be results for other tasks in the repos if successive evals\
\ didn't cover the same tasks. You find each in the results and the \"latest\" split\
\ for each eval):\n\n```python\n{\n \"all\": {\n \"leaderboard\": {\n\
\ \"acc,none\": 0.5088929521276596,\n \"acc_stderr,none\"\
: 0.004557749352736335,\n \"acc_norm,none\": 0.5772473732001556,\n \
\ \"acc_norm_stderr,none\": 0.0051629491888934955,\n \"exact_match,none\"\
: 0.0445619335347432,\n \"exact_match_stderr,none\": 0.005666316247127577,\n\
\ \"inst_level_loose_acc,none\": 0.8309352517985612,\n \"\
inst_level_loose_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\
: 0.7707948243992606,\n \"prompt_level_loose_acc_stderr,none\": 0.018087757424955286,\n\
\ \"inst_level_strict_acc,none\": 0.8069544364508393,\n \"\
inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_strict_acc,none\"\
: 0.7430683918669131,\n \"prompt_level_strict_acc_stderr,none\": 0.01880296257563689,\n\
\ \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\"\
: {\n \"acc_norm,none\": 0.6405137996875543,\n \"acc_norm_stderr,none\"\
: 0.005843282173574642,\n \"alias\": \" - leaderboard_bbh\"\n \
\ },\n \"leaderboard_bbh_boolean_expressions\": {\n \"alias\"\
: \" - leaderboard_bbh_boolean_expressions\",\n \"acc_norm,none\": 0.892,\n\
\ \"acc_norm_stderr,none\": 0.019669559381568776\n },\n \
\ \"leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\
,\n \"acc_norm,none\": 0.6203208556149733,\n \"acc_norm_stderr,none\"\
: 0.03558443628801667\n },\n \"leaderboard_bbh_date_understanding\"\
: {\n \"alias\": \" - leaderboard_bbh_date_understanding\",\n \
\ \"acc_norm,none\": 0.692,\n \"acc_norm_stderr,none\": 0.02925692860650181\n\
\ },\n \"leaderboard_bbh_disambiguation_qa\": {\n \"alias\"\
: \" - leaderboard_bbh_disambiguation_qa\",\n \"acc_norm,none\": 0.716,\n\
\ \"acc_norm_stderr,none\": 0.028576958730437443\n },\n \
\ \"leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\
,\n \"acc_norm,none\": 0.656,\n \"acc_norm_stderr,none\":\
\ 0.03010450339231644\n },\n \"leaderboard_bbh_geometric_shapes\"\
: {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\",\n \
\ \"acc_norm,none\": 0.608,\n \"acc_norm_stderr,none\": 0.030938207620401222\n\
\ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \"\
\ - leaderboard_bbh_hyperbaton\",\n \"acc_norm,none\": 0.76,\n \
\ \"acc_norm_stderr,none\": 0.027065293652238982\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\
: {\n \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\
,\n \"acc_norm,none\": 0.632,\n \"acc_norm_stderr,none\":\
\ 0.03056207062099311\n },\n \"leaderboard_bbh_logical_deduction_seven_objects\"\
: {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\
,\n \"acc_norm,none\": 0.612,\n \"acc_norm_stderr,none\":\
\ 0.030881038748993974\n },\n \"leaderboard_bbh_logical_deduction_three_objects\"\
: {\n \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\
,\n \"acc_norm,none\": 0.94,\n \"acc_norm_stderr,none\": 0.015050117079158739\n\
\ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"\
alias\": \" - leaderboard_bbh_movie_recommendation\",\n \"acc_norm,none\"\
: 0.76,\n \"acc_norm_stderr,none\": 0.027065293652238982\n },\n\
\ \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\
,\n \"acc_norm,none\": 0.672,\n \"acc_norm_stderr,none\":\
\ 0.029752391824475363\n },\n \"leaderboard_bbh_object_counting\"\
: {\n \"alias\": \" - leaderboard_bbh_object_counting\",\n \
\ \"acc_norm,none\": 0.46,\n \"acc_norm_stderr,none\": 0.031584653891499004\n\
\ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"\
alias\": \" - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\"\
: 0.636986301369863,\n \"acc_norm_stderr,none\": 0.03993397596179569\n\
\ },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \
\ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\",\n\
\ \"acc_norm,none\": 0.816,\n \"acc_norm_stderr,none\": 0.02455581299422255\n\
\ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \"\
\ - leaderboard_bbh_ruin_names\",\n \"acc_norm,none\": 0.816,\n \
\ \"acc_norm_stderr,none\": 0.02455581299422255\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\
: {\n \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\"\
,\n \"acc_norm,none\": 0.636,\n \"acc_norm_stderr,none\":\
\ 0.030491555220405475\n },\n \"leaderboard_bbh_snarks\": {\n \
\ \"alias\": \" - leaderboard_bbh_snarks\",\n \"acc_norm,none\"\
: 0.7865168539325843,\n \"acc_norm_stderr,none\": 0.030799891078809365\n\
\ },\n \"leaderboard_bbh_sports_understanding\": {\n \"\
alias\": \" - leaderboard_bbh_sports_understanding\",\n \"acc_norm,none\"\
: 0.74,\n \"acc_norm_stderr,none\": 0.027797315752644335\n },\n\
\ \"leaderboard_bbh_temporal_sequences\": {\n \"alias\": \" -\
\ leaderboard_bbh_temporal_sequences\",\n \"acc_norm,none\": 0.652,\n\
\ \"acc_norm_stderr,none\": 0.030186568464511673\n },\n \
\ \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \"\
alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\",\n \
\ \"acc_norm,none\": 0.224,\n \"acc_norm_stderr,none\": 0.026421361687347884\n\
\ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\
: {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\
,\n \"acc_norm,none\": 0.184,\n \"acc_norm_stderr,none\":\
\ 0.02455581299422255\n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\
: {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\
,\n \"acc_norm,none\": 0.34,\n \"acc_norm_stderr,none\": 0.030020073605457873\n\
\ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\":\
\ \" - leaderboard_bbh_web_of_lies\",\n \"acc_norm,none\": 0.556,\n\
\ \"acc_norm_stderr,none\": 0.03148684942554571\n },\n \
\ \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.3716442953020134,\n\
\ \"acc_norm_stderr,none\": 0.014011490289268045,\n \"alias\"\
: \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n\
\ \"alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\"\
: 0.35858585858585856,\n \"acc_norm_stderr,none\": 0.034169036403915276\n\
\ },\n \"leaderboard_gpqa_extended\": {\n \"alias\": \"\
\ - leaderboard_gpqa_extended\",\n \"acc_norm,none\": 0.3663003663003663,\n\
\ \"acc_norm_stderr,none\": 0.020637740788656753\n },\n \
\ \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\
,\n \"acc_norm,none\": 0.38392857142857145,\n \"acc_norm_stderr,none\"\
: 0.02300313291907409\n },\n \"leaderboard_ifeval\": {\n \
\ \"alias\": \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\"\
: 0.7430683918669131,\n \"prompt_level_strict_acc_stderr,none\": 0.01880296257563689,\n\
\ \"inst_level_strict_acc,none\": 0.8069544364508393,\n \"\
inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\
: 0.7707948243992606,\n \"prompt_level_loose_acc_stderr,none\": 0.018087757424955286,\n\
\ \"inst_level_loose_acc,none\": 0.8309352517985612,\n \"\
inst_level_loose_acc_stderr,none\": \"N/A\"\n },\n \"leaderboard_math_hard\"\
: {\n \"exact_match,none\": 0.0445619335347432,\n \"exact_match_stderr,none\"\
: 0.005666316247127577,\n \"alias\": \" - leaderboard_math_hard\"\n \
\ },\n \"leaderboard_math_algebra_hard\": {\n \"alias\"\
: \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\": 0.06188925081433225,\n\
\ \"exact_match_stderr,none\": 0.013774440126929627\n },\n \
\ \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\": \"\
\ - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\
: 0.04065040650406504,\n \"exact_match_stderr,none\": 0.017878907564437465\n\
\ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\"\
: \" - leaderboard_math_geometry_hard\",\n \"exact_match,none\": 0.022727272727272728,\n\
\ \"exact_match_stderr,none\": 0.0130210469090637\n },\n \
\ \"leaderboard_math_intermediate_algebra_hard\": {\n \"alias\": \"\
\ - leaderboard_math_intermediate_algebra_hard\",\n \"exact_match,none\"\
: 0.039285714285714285,\n \"exact_match_stderr,none\": 0.011630873964205717\n\
\ },\n \"leaderboard_math_num_theory_hard\": {\n \"alias\"\
: \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\": 0.012987012987012988,\n\
\ \"exact_match_stderr,none\": 0.009153145279150204\n },\n \
\ \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\
,\n \"exact_match,none\": 0.06217616580310881,\n \"exact_match_stderr,none\"\
: 0.01742697415424056\n },\n \"leaderboard_math_precalculus_hard\"\
: {\n \"alias\": \" - leaderboard_math_precalculus_hard\",\n \
\ \"exact_match,none\": 0.05185185185185185,\n \"exact_match_stderr,none\"\
: 0.019154368449050496\n },\n \"leaderboard_mmlu_pro\": {\n \
\ \"alias\": \" - leaderboard_mmlu_pro\",\n \"acc,none\": 0.5088929521276596,\n\
\ \"acc_stderr,none\": 0.004557749352736335\n },\n \"leaderboard_musr\"\
: {\n \"acc_norm,none\": 0.4193121693121693,\n \"acc_norm_stderr,none\"\
: 0.017343672073569773,\n \"alias\": \" - leaderboard_musr\"\n \
\ },\n \"leaderboard_musr_murder_mysteries\": {\n \"alias\":\
\ \" - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\": 0.584,\n\
\ \"acc_norm_stderr,none\": 0.031235856237014505\n },\n \
\ \"leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\
,\n \"acc_norm,none\": 0.265625,\n \"acc_norm_stderr,none\"\
: 0.027658162598649488\n },\n \"leaderboard_musr_team_allocation\"\
: {\n \"alias\": \" - leaderboard_musr_team_allocation\",\n \
\ \"acc_norm,none\": 0.412,\n \"acc_norm_stderr,none\": 0.03119159602602282\n\
\ }\n },\n \"leaderboard\": {\n \"acc,none\": 0.5088929521276596,\n\
\ \"acc_stderr,none\": 0.004557749352736335,\n \"acc_norm,none\":\
\ 0.5772473732001556,\n \"acc_norm_stderr,none\": 0.0051629491888934955,\n\
\ \"exact_match,none\": 0.0445619335347432,\n \"exact_match_stderr,none\"\
: 0.005666316247127577,\n \"inst_level_loose_acc,none\": 0.8309352517985612,\n\
\ \"inst_level_loose_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\
: 0.7707948243992606,\n \"prompt_level_loose_acc_stderr,none\": 0.018087757424955286,\n\
\ \"inst_level_strict_acc,none\": 0.8069544364508393,\n \"inst_level_strict_acc_stderr,none\"\
: \"N/A\",\n \"prompt_level_strict_acc,none\": 0.7430683918669131,\n \
\ \"prompt_level_strict_acc_stderr,none\": 0.01880296257563689,\n \"alias\"\
: \"leaderboard\"\n },\n \"leaderboard_bbh\": {\n \"acc_norm,none\"\
: 0.6405137996875543,\n \"acc_norm_stderr,none\": 0.005843282173574642,\n\
\ \"alias\": \" - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\"\
: {\n \"alias\": \" - leaderboard_bbh_boolean_expressions\",\n \"\
acc_norm,none\": 0.892,\n \"acc_norm_stderr,none\": 0.019669559381568776\n\
\ },\n \"leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\
,\n \"acc_norm,none\": 0.6203208556149733,\n \"acc_norm_stderr,none\"\
: 0.03558443628801667\n },\n \"leaderboard_bbh_date_understanding\": {\n \
\ \"alias\": \" - leaderboard_bbh_date_understanding\",\n \"acc_norm,none\"\
: 0.692,\n \"acc_norm_stderr,none\": 0.02925692860650181\n },\n \"\
leaderboard_bbh_disambiguation_qa\": {\n \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\
,\n \"acc_norm,none\": 0.716,\n \"acc_norm_stderr,none\": 0.028576958730437443\n\
\ },\n \"leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\
,\n \"acc_norm,none\": 0.656,\n \"acc_norm_stderr,none\": 0.03010450339231644\n\
\ },\n \"leaderboard_bbh_geometric_shapes\": {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\
,\n \"acc_norm,none\": 0.608,\n \"acc_norm_stderr,none\": 0.030938207620401222\n\
\ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \" - leaderboard_bbh_hyperbaton\"\
,\n \"acc_norm,none\": 0.76,\n \"acc_norm_stderr,none\": 0.027065293652238982\n\
\ },\n \"leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\"\
: \" - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\
: 0.632,\n \"acc_norm_stderr,none\": 0.03056207062099311\n },\n \"\
leaderboard_bbh_logical_deduction_seven_objects\": {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\
,\n \"acc_norm,none\": 0.612,\n \"acc_norm_stderr,none\": 0.030881038748993974\n\
\ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \"\
alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n \"acc_norm,none\"\
: 0.94,\n \"acc_norm_stderr,none\": 0.015050117079158739\n },\n \"\
leaderboard_bbh_movie_recommendation\": {\n \"alias\": \" - leaderboard_bbh_movie_recommendation\"\
,\n \"acc_norm,none\": 0.76,\n \"acc_norm_stderr,none\": 0.027065293652238982\n\
\ },\n \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\
,\n \"acc_norm,none\": 0.672,\n \"acc_norm_stderr,none\": 0.029752391824475363\n\
\ },\n \"leaderboard_bbh_object_counting\": {\n \"alias\": \" - leaderboard_bbh_object_counting\"\
,\n \"acc_norm,none\": 0.46,\n \"acc_norm_stderr,none\": 0.031584653891499004\n\
\ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"alias\": \" \
\ - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\": 0.636986301369863,\n\
\ \"acc_norm_stderr,none\": 0.03993397596179569\n },\n \"leaderboard_bbh_reasoning_about_colored_objects\"\
: {\n \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\
,\n \"acc_norm,none\": 0.816,\n \"acc_norm_stderr,none\": 0.02455581299422255\n\
\ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \" - leaderboard_bbh_ruin_names\"\
,\n \"acc_norm,none\": 0.816,\n \"acc_norm_stderr,none\": 0.02455581299422255\n\
\ },\n \"leaderboard_bbh_salient_translation_error_detection\": {\n \
\ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\",\n \
\ \"acc_norm,none\": 0.636,\n \"acc_norm_stderr,none\": 0.030491555220405475\n\
\ },\n \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\
,\n \"acc_norm,none\": 0.7865168539325843,\n \"acc_norm_stderr,none\"\
: 0.030799891078809365\n },\n \"leaderboard_bbh_sports_understanding\": {\n\
\ \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \"acc_norm,none\"\
: 0.74,\n \"acc_norm_stderr,none\": 0.027797315752644335\n },\n \"\
leaderboard_bbh_temporal_sequences\": {\n \"alias\": \" - leaderboard_bbh_temporal_sequences\"\
,\n \"acc_norm,none\": 0.652,\n \"acc_norm_stderr,none\": 0.030186568464511673\n\
\ },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \
\ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\
,\n \"acc_norm,none\": 0.224,\n \"acc_norm_stderr,none\": 0.026421361687347884\n\
\ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \
\ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\
,\n \"acc_norm,none\": 0.184,\n \"acc_norm_stderr,none\": 0.02455581299422255\n\
\ },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \
\ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\
,\n \"acc_norm,none\": 0.34,\n \"acc_norm_stderr,none\": 0.030020073605457873\n\
\ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\": \" - leaderboard_bbh_web_of_lies\"\
,\n \"acc_norm,none\": 0.556,\n \"acc_norm_stderr,none\": 0.03148684942554571\n\
\ },\n \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.3716442953020134,\n\
\ \"acc_norm_stderr,none\": 0.014011490289268045,\n \"alias\": \"\
\ - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n \"\
alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\": 0.35858585858585856,\n\
\ \"acc_norm_stderr,none\": 0.034169036403915276\n },\n \"leaderboard_gpqa_extended\"\
: {\n \"alias\": \" - leaderboard_gpqa_extended\",\n \"acc_norm,none\"\
: 0.3663003663003663,\n \"acc_norm_stderr,none\": 0.020637740788656753\n\
\ },\n \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\
,\n \"acc_norm,none\": 0.38392857142857145,\n \"acc_norm_stderr,none\"\
: 0.02300313291907409\n },\n \"leaderboard_ifeval\": {\n \"alias\"\
: \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\": 0.7430683918669131,\n\
\ \"prompt_level_strict_acc_stderr,none\": 0.01880296257563689,\n \
\ \"inst_level_strict_acc,none\": 0.8069544364508393,\n \"inst_level_strict_acc_stderr,none\"\
: \"N/A\",\n \"prompt_level_loose_acc,none\": 0.7707948243992606,\n \
\ \"prompt_level_loose_acc_stderr,none\": 0.018087757424955286,\n \"inst_level_loose_acc,none\"\
: 0.8309352517985612,\n \"inst_level_loose_acc_stderr,none\": \"N/A\"\n \
\ },\n \"leaderboard_math_hard\": {\n \"exact_match,none\": 0.0445619335347432,\n\
\ \"exact_match_stderr,none\": 0.005666316247127577,\n \"alias\":\
\ \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\": {\n\
\ \"alias\": \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\"\
: 0.06188925081433225,\n \"exact_match_stderr,none\": 0.013774440126929627\n\
\ },\n \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\":\
\ \" - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\
: 0.04065040650406504,\n \"exact_match_stderr,none\": 0.017878907564437465\n\
\ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\": \" - leaderboard_math_geometry_hard\"\
,\n \"exact_match,none\": 0.022727272727272728,\n \"exact_match_stderr,none\"\
: 0.0130210469090637\n },\n \"leaderboard_math_intermediate_algebra_hard\"\
: {\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\",\n \
\ \"exact_match,none\": 0.039285714285714285,\n \"exact_match_stderr,none\"\
: 0.011630873964205717\n },\n \"leaderboard_math_num_theory_hard\": {\n \
\ \"alias\": \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\"\
: 0.012987012987012988,\n \"exact_match_stderr,none\": 0.009153145279150204\n\
\ },\n \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\
,\n \"exact_match,none\": 0.06217616580310881,\n \"exact_match_stderr,none\"\
: 0.01742697415424056\n },\n \"leaderboard_math_precalculus_hard\": {\n \
\ \"alias\": \" - leaderboard_math_precalculus_hard\",\n \"exact_match,none\"\
: 0.05185185185185185,\n \"exact_match_stderr,none\": 0.019154368449050496\n\
\ },\n \"leaderboard_mmlu_pro\": {\n \"alias\": \" - leaderboard_mmlu_pro\"\
,\n \"acc,none\": 0.5088929521276596,\n \"acc_stderr,none\": 0.004557749352736335\n\
\ },\n \"leaderboard_musr\": {\n \"acc_norm,none\": 0.4193121693121693,\n\
\ \"acc_norm_stderr,none\": 0.017343672073569773,\n \"alias\": \"\
\ - leaderboard_musr\"\n },\n \"leaderboard_musr_murder_mysteries\": {\n \
\ \"alias\": \" - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\"\
: 0.584,\n \"acc_norm_stderr,none\": 0.031235856237014505\n },\n \"\
leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\
,\n \"acc_norm,none\": 0.265625,\n \"acc_norm_stderr,none\": 0.027658162598649488\n\
\ },\n \"leaderboard_musr_team_allocation\": {\n \"alias\": \" - leaderboard_musr_team_allocation\"\
,\n \"acc_norm,none\": 0.412,\n \"acc_norm_stderr,none\": 0.03119159602602282\n\
\ }\n}\n```"
repo_url: https://huggingface.co/dwikitheduck/gen-inst-1
leaderboard_url: ''
point_of_contact: ''
configs:
- config_name: dwikitheduck__gen-inst-1__leaderboard_bbh_boolean_expressions
data_files:
- split: 2024_11_25T00_14_37.470143
path:
- '**/samples_leaderboard_bbh_boolean_expressions_2024-11-25T00-14-37.470143.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_boolean_expressions_2024-11-25T00-14-37.470143.jsonl'
- config_name: dwikitheduck__gen-inst-1__leaderboard_bbh_causal_judgement
data_files:
- split: 2024_11_25T00_14_37.470143
path:
- '**/samples_leaderboard_bbh_causal_judgement_2024-11-25T00-14-37.470143.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_causal_judgement_2024-11-25T00-14-37.470143.jsonl'
- config_name: dwikitheduck__gen-inst-1__leaderboard_bbh_date_understanding
data_files:
- split: 2024_11_25T00_14_37.470143
path:
- '**/samples_leaderboard_bbh_date_understanding_2024-11-25T00-14-37.470143.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_date_understanding_2024-11-25T00-14-37.470143.jsonl'
- config_name: dwikitheduck__gen-inst-1__leaderboard_bbh_disambiguation_qa
data_files:
- split: 2024_11_25T00_14_37.470143
path:
- '**/samples_leaderboard_bbh_disambiguation_qa_2024-11-25T00-14-37.470143.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_disambiguation_qa_2024-11-25T00-14-37.470143.jsonl'
- config_name: dwikitheduck__gen-inst-1__leaderboard_bbh_formal_fallacies
data_files:
- split: 2024_11_25T00_14_37.470143
path:
- '**/samples_leaderboard_bbh_formal_fallacies_2024-11-25T00-14-37.470143.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_formal_fallacies_2024-11-25T00-14-37.470143.jsonl'
- config_name: dwikitheduck__gen-inst-1__leaderboard_bbh_geometric_shapes
data_files:
- split: 2024_11_25T00_14_37.470143
path:
- '**/samples_leaderboard_bbh_geometric_shapes_2024-11-25T00-14-37.470143.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_geometric_shapes_2024-11-25T00-14-37.470143.jsonl'
- config_name: dwikitheduck__gen-inst-1__leaderboard_bbh_hyperbaton
data_files:
- split: 2024_11_25T00_14_37.470143
path:
- '**/samples_leaderboard_bbh_hyperbaton_2024-11-25T00-14-37.470143.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_hyperbaton_2024-11-25T00-14-37.470143.jsonl'
- config_name: dwikitheduck__gen-inst-1__leaderboard_bbh_logical_deduction_five_objects
data_files:
- split: 2024_11_25T00_14_37.470143
path:
- '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-11-25T00-14-37.470143.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-11-25T00-14-37.470143.jsonl'
- config_name: dwikitheduck__gen-inst-1__leaderboard_bbh_logical_deduction_seven_objects
data_files:
- split: 2024_11_25T00_14_37.470143
path:
- '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-11-25T00-14-37.470143.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-11-25T00-14-37.470143.jsonl'
- config_name: dwikitheduck__gen-inst-1__leaderboard_bbh_logical_deduction_three_objects
data_files:
- split: 2024_11_25T00_14_37.470143
path:
- '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-11-25T00-14-37.470143.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-11-25T00-14-37.470143.jsonl'
- config_name: dwikitheduck__gen-inst-1__leaderboard_bbh_movie_recommendation
data_files:
- split: 2024_11_25T00_14_37.470143
path:
- '**/samples_leaderboard_bbh_movie_recommendation_2024-11-25T00-14-37.470143.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_movie_recommendation_2024-11-25T00-14-37.470143.jsonl'
- config_name: dwikitheduck__gen-inst-1__leaderboard_bbh_navigate
data_files:
- split: 2024_11_25T00_14_37.470143
path:
- '**/samples_leaderboard_bbh_navigate_2024-11-25T00-14-37.470143.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_navigate_2024-11-25T00-14-37.470143.jsonl'
- config_name: dwikitheduck__gen-inst-1__leaderboard_bbh_object_counting
data_files:
- split: 2024_11_25T00_14_37.470143
path:
- '**/samples_leaderboard_bbh_object_counting_2024-11-25T00-14-37.470143.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_object_counting_2024-11-25T00-14-37.470143.jsonl'
- config_name: dwikitheduck__gen-inst-1__leaderboard_bbh_penguins_in_a_table
data_files:
- split: 2024_11_25T00_14_37.470143
path:
- '**/samples_leaderboard_bbh_penguins_in_a_table_2024-11-25T00-14-37.470143.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_penguins_in_a_table_2024-11-25T00-14-37.470143.jsonl'
- config_name: dwikitheduck__gen-inst-1__leaderboard_bbh_reasoning_about_colored_objects
data_files:
- split: 2024_11_25T00_14_37.470143
path:
- '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-11-25T00-14-37.470143.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-11-25T00-14-37.470143.jsonl'
- config_name: dwikitheduck__gen-inst-1__leaderboard_bbh_ruin_names
data_files:
- split: 2024_11_25T00_14_37.470143
path:
- '**/samples_leaderboard_bbh_ruin_names_2024-11-25T00-14-37.470143.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_ruin_names_2024-11-25T00-14-37.470143.jsonl'
- config_name: dwikitheduck__gen-inst-1__leaderboard_bbh_salient_translation_error_detection
data_files:
- split: 2024_11_25T00_14_37.470143
path:
- '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-11-25T00-14-37.470143.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-11-25T00-14-37.470143.jsonl'
- config_name: dwikitheduck__gen-inst-1__leaderboard_bbh_snarks
data_files:
- split: 2024_11_25T00_14_37.470143
path:
- '**/samples_leaderboard_bbh_snarks_2024-11-25T00-14-37.470143.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_snarks_2024-11-25T00-14-37.470143.jsonl'
- config_name: dwikitheduck__gen-inst-1__leaderboard_bbh_sports_understanding
data_files:
- split: 2024_11_25T00_14_37.470143
path:
- '**/samples_leaderboard_bbh_sports_understanding_2024-11-25T00-14-37.470143.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_sports_understanding_2024-11-25T00-14-37.470143.jsonl'
- config_name: dwikitheduck__gen-inst-1__leaderboard_bbh_temporal_sequences
data_files:
- split: 2024_11_25T00_14_37.470143
path:
- '**/samples_leaderboard_bbh_temporal_sequences_2024-11-25T00-14-37.470143.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_temporal_sequences_2024-11-25T00-14-37.470143.jsonl'
- config_name: dwikitheduck__gen-inst-1__leaderboard_bbh_tracking_shuffled_objects_five_objects
data_files:
- split: 2024_11_25T00_14_37.470143
path:
- '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-11-25T00-14-37.470143.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-11-25T00-14-37.470143.jsonl'
- config_name: dwikitheduck__gen-inst-1__leaderboard_bbh_tracking_shuffled_objects_seven_objects
data_files:
- split: 2024_11_25T00_14_37.470143
path:
- '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-11-25T00-14-37.470143.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-11-25T00-14-37.470143.jsonl'
- config_name: dwikitheduck__gen-inst-1__leaderboard_bbh_tracking_shuffled_objects_three_objects
data_files:
- split: 2024_11_25T00_14_37.470143
path:
- '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-11-25T00-14-37.470143.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-11-25T00-14-37.470143.jsonl'
- config_name: dwikitheduck__gen-inst-1__leaderboard_bbh_web_of_lies
data_files:
- split: 2024_11_25T00_14_37.470143
path:
- '**/samples_leaderboard_bbh_web_of_lies_2024-11-25T00-14-37.470143.jsonl'
- split: latest
path:
- '**/samples_leaderboard_bbh_web_of_lies_2024-11-25T00-14-37.470143.jsonl'
- config_name: dwikitheduck__gen-inst-1__leaderboard_gpqa_diamond
data_files:
- split: 2024_11_25T00_14_37.470143
path:
- '**/samples_leaderboard_gpqa_diamond_2024-11-25T00-14-37.470143.jsonl'
- split: latest
path:
- '**/samples_leaderboard_gpqa_diamond_2024-11-25T00-14-37.470143.jsonl'
- config_name: dwikitheduck__gen-inst-1__leaderboard_gpqa_extended
data_files:
- split: 2024_11_25T00_14_37.470143
path:
- '**/samples_leaderboard_gpqa_extended_2024-11-25T00-14-37.470143.jsonl'
- split: latest
path:
- '**/samples_leaderboard_gpqa_extended_2024-11-25T00-14-37.470143.jsonl'
- config_name: dwikitheduck__gen-inst-1__leaderboard_gpqa_main
data_files:
- split: 2024_11_25T00_14_37.470143
path:
- '**/samples_leaderboard_gpqa_main_2024-11-25T00-14-37.470143.jsonl'
- split: latest
path:
- '**/samples_leaderboard_gpqa_main_2024-11-25T00-14-37.470143.jsonl'
- config_name: dwikitheduck__gen-inst-1__leaderboard_ifeval
data_files:
- split: 2024_11_25T00_14_37.470143
path:
- '**/samples_leaderboard_ifeval_2024-11-25T00-14-37.470143.jsonl'
- split: latest
path:
- '**/samples_leaderboard_ifeval_2024-11-25T00-14-37.470143.jsonl'
- config_name: dwikitheduck__gen-inst-1__leaderboard_math_algebra_hard
data_files:
- split: 2024_11_25T00_14_37.470143
path:
- '**/samples_leaderboard_math_algebra_hard_2024-11-25T00-14-37.470143.jsonl'
- split: latest
path:
- '**/samples_leaderboard_math_algebra_hard_2024-11-25T00-14-37.470143.jsonl'
- config_name: dwikitheduck__gen-inst-1__leaderboard_math_counting_and_prob_hard
data_files:
- split: 2024_11_25T00_14_37.470143
path:
- '**/samples_leaderboard_math_counting_and_prob_hard_2024-11-25T00-14-37.470143.jsonl'
- split: latest
path:
- '**/samples_leaderboard_math_counting_and_prob_hard_2024-11-25T00-14-37.470143.jsonl'
- config_name: dwikitheduck__gen-inst-1__leaderboard_math_geometry_hard
data_files:
- split: 2024_11_25T00_14_37.470143
path:
- '**/samples_leaderboard_math_geometry_hard_2024-11-25T00-14-37.470143.jsonl'
- split: latest
path:
- '**/samples_leaderboard_math_geometry_hard_2024-11-25T00-14-37.470143.jsonl'
- config_name: dwikitheduck__gen-inst-1__leaderboard_math_intermediate_algebra_hard
data_files:
- split: 2024_11_25T00_14_37.470143
path:
- '**/samples_leaderboard_math_intermediate_algebra_hard_2024-11-25T00-14-37.470143.jsonl'
- split: latest
path:
- '**/samples_leaderboard_math_intermediate_algebra_hard_2024-11-25T00-14-37.470143.jsonl'
- config_name: dwikitheduck__gen-inst-1__leaderboard_math_num_theory_hard
data_files:
- split: 2024_11_25T00_14_37.470143
path:
- '**/samples_leaderboard_math_num_theory_hard_2024-11-25T00-14-37.470143.jsonl'
- split: latest
path:
- '**/samples_leaderboard_math_num_theory_hard_2024-11-25T00-14-37.470143.jsonl'
- config_name: dwikitheduck__gen-inst-1__leaderboard_math_prealgebra_hard
data_files:
- split: 2024_11_25T00_14_37.470143
path:
- '**/samples_leaderboard_math_prealgebra_hard_2024-11-25T00-14-37.470143.jsonl'
- split: latest
path:
- '**/samples_leaderboard_math_prealgebra_hard_2024-11-25T00-14-37.470143.jsonl'
- config_name: dwikitheduck__gen-inst-1__leaderboard_math_precalculus_hard
data_files:
- split: 2024_11_25T00_14_37.470143
path:
- '**/samples_leaderboard_math_precalculus_hard_2024-11-25T00-14-37.470143.jsonl'
- split: latest
path:
- '**/samples_leaderboard_math_precalculus_hard_2024-11-25T00-14-37.470143.jsonl'
- config_name: dwikitheduck__gen-inst-1__leaderboard_mmlu_pro
data_files:
- split: 2024_11_25T00_14_37.470143
path:
- '**/samples_leaderboard_mmlu_pro_2024-11-25T00-14-37.470143.jsonl'
- split: latest
path:
- '**/samples_leaderboard_mmlu_pro_2024-11-25T00-14-37.470143.jsonl'
- config_name: dwikitheduck__gen-inst-1__leaderboard_musr_murder_mysteries
data_files:
- split: 2024_11_25T00_14_37.470143
path:
- '**/samples_leaderboard_musr_murder_mysteries_2024-11-25T00-14-37.470143.jsonl'
- split: latest
path:
- '**/samples_leaderboard_musr_murder_mysteries_2024-11-25T00-14-37.470143.jsonl'
- config_name: dwikitheduck__gen-inst-1__leaderboard_musr_object_placements
data_files:
- split: 2024_11_25T00_14_37.470143
path:
- '**/samples_leaderboard_musr_object_placements_2024-11-25T00-14-37.470143.jsonl'
- split: latest
path:
- '**/samples_leaderboard_musr_object_placements_2024-11-25T00-14-37.470143.jsonl'
- config_name: dwikitheduck__gen-inst-1__leaderboard_musr_team_allocation
data_files:
- split: 2024_11_25T00_14_37.470143
path:
- '**/samples_leaderboard_musr_team_allocation_2024-11-25T00-14-37.470143.jsonl'
- split: latest
path:
- '**/samples_leaderboard_musr_team_allocation_2024-11-25T00-14-37.470143.jsonl'
---
# Dataset Card for Evaluation run of dwikitheduck/gen-inst-1
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [dwikitheduck/gen-inst-1](https://huggingface.co/dwikitheduck/gen-inst-1)
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional configuration "results" store all the aggregated results of the run.
To load the details from a run, you can for instance do the following:
```python
from datasets import load_dataset
data = load_dataset(
"open-llm-leaderboard/dwikitheduck__gen-inst-1-details",
name="dwikitheduck__gen-inst-1__leaderboard_bbh_boolean_expressions",
split="latest"
)
```
## Latest results
These are the [latest results from run 2024-11-25T00-14-37.470143](https://huggingface.co/datasets/open-llm-leaderboard/dwikitheduck__gen-inst-1-details/blob/main/dwikitheduck__gen-inst-1/results_2024-11-25T00-14-37.470143.json) (note that there might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):
```python
{
"all": {
"leaderboard": {
"acc,none": 0.5088929521276596,
"acc_stderr,none": 0.004557749352736335,
"acc_norm,none": 0.5772473732001556,
"acc_norm_stderr,none": 0.0051629491888934955,
"exact_match,none": 0.0445619335347432,
"exact_match_stderr,none": 0.005666316247127577,
"inst_level_loose_acc,none": 0.8309352517985612,
"inst_level_loose_acc_stderr,none": "N/A",
"prompt_level_loose_acc,none": 0.7707948243992606,
"prompt_level_loose_acc_stderr,none": 0.018087757424955286,
"inst_level_strict_acc,none": 0.8069544364508393,
"inst_level_strict_acc_stderr,none": "N/A",
"prompt_level_strict_acc,none": 0.7430683918669131,
"prompt_level_strict_acc_stderr,none": 0.01880296257563689,
"alias": "leaderboard"
},
"leaderboard_bbh": {
"acc_norm,none": 0.6405137996875543,
"acc_norm_stderr,none": 0.005843282173574642,
"alias": " - leaderboard_bbh"
},
"leaderboard_bbh_boolean_expressions": {
"alias": " - leaderboard_bbh_boolean_expressions",
"acc_norm,none": 0.892,
"acc_norm_stderr,none": 0.019669559381568776
},
"leaderboard_bbh_causal_judgement": {
"alias": " - leaderboard_bbh_causal_judgement",
"acc_norm,none": 0.6203208556149733,
"acc_norm_stderr,none": 0.03558443628801667
},
"leaderboard_bbh_date_understanding": {
"alias": " - leaderboard_bbh_date_understanding",
"acc_norm,none": 0.692,
"acc_norm_stderr,none": 0.02925692860650181
},
"leaderboard_bbh_disambiguation_qa": {
"alias": " - leaderboard_bbh_disambiguation_qa",
"acc_norm,none": 0.716,
"acc_norm_stderr,none": 0.028576958730437443
},
"leaderboard_bbh_formal_fallacies": {
"alias": " - leaderboard_bbh_formal_fallacies",
"acc_norm,none": 0.656,
"acc_norm_stderr,none": 0.03010450339231644
},
"leaderboard_bbh_geometric_shapes": {
"alias": " - leaderboard_bbh_geometric_shapes",
"acc_norm,none": 0.608,
"acc_norm_stderr,none": 0.030938207620401222
},
"leaderboard_bbh_hyperbaton": {
"alias": " - leaderboard_bbh_hyperbaton",
"acc_norm,none": 0.76,
"acc_norm_stderr,none": 0.027065293652238982
},
"leaderboard_bbh_logical_deduction_five_objects": {
"alias": " - leaderboard_bbh_logical_deduction_five_objects",
"acc_norm,none": 0.632,
"acc_norm_stderr,none": 0.03056207062099311
},
"leaderboard_bbh_logical_deduction_seven_objects": {
"alias": " - leaderboard_bbh_logical_deduction_seven_objects",
"acc_norm,none": 0.612,
"acc_norm_stderr,none": 0.030881038748993974
},
"leaderboard_bbh_logical_deduction_three_objects": {
"alias": " - leaderboard_bbh_logical_deduction_three_objects",
"acc_norm,none": 0.94,
"acc_norm_stderr,none": 0.015050117079158739
},
"leaderboard_bbh_movie_recommendation": {
"alias": " - leaderboard_bbh_movie_recommendation",
"acc_norm,none": 0.76,
"acc_norm_stderr,none": 0.027065293652238982
},
"leaderboard_bbh_navigate": {
"alias": " - leaderboard_bbh_navigate",
"acc_norm,none": 0.672,
"acc_norm_stderr,none": 0.029752391824475363
},
"leaderboard_bbh_object_counting": {
"alias": " - leaderboard_bbh_object_counting",
"acc_norm,none": 0.46,
"acc_norm_stderr,none": 0.031584653891499004
},
"leaderboard_bbh_penguins_in_a_table": {
"alias": " - leaderboard_bbh_penguins_in_a_table",
"acc_norm,none": 0.636986301369863,
"acc_norm_stderr,none": 0.03993397596179569
},
"leaderboard_bbh_reasoning_about_colored_objects": {
"alias": " - leaderboard_bbh_reasoning_about_colored_objects",
"acc_norm,none": 0.816,
"acc_norm_stderr,none": 0.02455581299422255
},
"leaderboard_bbh_ruin_names": {
"alias": " - leaderboard_bbh_ruin_names",
"acc_norm,none": 0.816,
"acc_norm_stderr,none": 0.02455581299422255
},
"leaderboard_bbh_salient_translation_error_detection": {
"alias": " - leaderboard_bbh_salient_translation_error_detection",
"acc_norm,none": 0.636,
"acc_norm_stderr,none": 0.030491555220405475
},
"leaderboard_bbh_snarks": {
"alias": " - leaderboard_bbh_snarks",
"acc_norm,none": 0.7865168539325843,
"acc_norm_stderr,none": 0.030799891078809365
},
"leaderboard_bbh_sports_understanding": {
"alias": " - leaderboard_bbh_sports_understanding",
"acc_norm,none": 0.74,
"acc_norm_stderr,none": 0.027797315752644335
},
"leaderboard_bbh_temporal_sequences": {
"alias": " - leaderboard_bbh_temporal_sequences",
"acc_norm,none": 0.652,
"acc_norm_stderr,none": 0.030186568464511673
},
"leaderboard_bbh_tracking_shuffled_objects_five_objects": {
"alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects",
"acc_norm,none": 0.224,
"acc_norm_stderr,none": 0.026421361687347884
},
"leaderboard_bbh_tracking_shuffled_objects_seven_objects": {
"alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects",
"acc_norm,none": 0.184,
"acc_norm_stderr,none": 0.02455581299422255
},
"leaderboard_bbh_tracking_shuffled_objects_three_objects": {
"alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects",
"acc_norm,none": 0.34,
"acc_norm_stderr,none": 0.030020073605457873
},
"leaderboard_bbh_web_of_lies": {
"alias": " - leaderboard_bbh_web_of_lies",
"acc_norm,none": 0.556,
"acc_norm_stderr,none": 0.03148684942554571
},
"leaderboard_gpqa": {
"acc_norm,none": 0.3716442953020134,
"acc_norm_stderr,none": 0.014011490289268045,
"alias": " - leaderboard_gpqa"
},
"leaderboard_gpqa_diamond": {
"alias": " - leaderboard_gpqa_diamond",
"acc_norm,none": 0.35858585858585856,
"acc_norm_stderr,none": 0.034169036403915276
},
"leaderboard_gpqa_extended": {
"alias": " - leaderboard_gpqa_extended",
"acc_norm,none": 0.3663003663003663,
"acc_norm_stderr,none": 0.020637740788656753
},
"leaderboard_gpqa_main": {
"alias": " - leaderboard_gpqa_main",
"acc_norm,none": 0.38392857142857145,
"acc_norm_stderr,none": 0.02300313291907409
},
"leaderboard_ifeval": {
"alias": " - leaderboard_ifeval",
"prompt_level_strict_acc,none": 0.7430683918669131,
"prompt_level_strict_acc_stderr,none": 0.01880296257563689,
"inst_level_strict_acc,none": 0.8069544364508393,
"inst_level_strict_acc_stderr,none": "N/A",
"prompt_level_loose_acc,none": 0.7707948243992606,
"prompt_level_loose_acc_stderr,none": 0.018087757424955286,
"inst_level_loose_acc,none": 0.8309352517985612,
"inst_level_loose_acc_stderr,none": "N/A"
},
"leaderboard_math_hard": {
"exact_match,none": 0.0445619335347432,
"exact_match_stderr,none": 0.005666316247127577,
"alias": " - leaderboard_math_hard"
},
"leaderboard_math_algebra_hard": {
"alias": " - leaderboard_math_algebra_hard",
"exact_match,none": 0.06188925081433225,
"exact_match_stderr,none": 0.013774440126929627
},
"leaderboard_math_counting_and_prob_hard": {
"alias": " - leaderboard_math_counting_and_prob_hard",
"exact_match,none": 0.04065040650406504,
"exact_match_stderr,none": 0.017878907564437465
},
"leaderboard_math_geometry_hard": {
"alias": " - leaderboard_math_geometry_hard",
"exact_match,none": 0.022727272727272728,
"exact_match_stderr,none": 0.0130210469090637
},
"leaderboard_math_intermediate_algebra_hard": {
"alias": " - leaderboard_math_intermediate_algebra_hard",
"exact_match,none": 0.039285714285714285,
"exact_match_stderr,none": 0.011630873964205717
},
"leaderboard_math_num_theory_hard": {
"alias": " - leaderboard_math_num_theory_hard",
"exact_match,none": 0.012987012987012988,
"exact_match_stderr,none": 0.009153145279150204
},
"leaderboard_math_prealgebra_hard": {
"alias": " - leaderboard_math_prealgebra_hard",
"exact_match,none": 0.06217616580310881,
"exact_match_stderr,none": 0.01742697415424056
},
"leaderboard_math_precalculus_hard": {
"alias": " - leaderboard_math_precalculus_hard",
"exact_match,none": 0.05185185185185185,
"exact_match_stderr,none": 0.019154368449050496
},
"leaderboard_mmlu_pro": {
"alias": " - leaderboard_mmlu_pro",
"acc,none": 0.5088929521276596,
"acc_stderr,none": 0.004557749352736335
},
"leaderboard_musr": {
"acc_norm,none": 0.4193121693121693,
"acc_norm_stderr,none": 0.017343672073569773,
"alias": " - leaderboard_musr"
},
"leaderboard_musr_murder_mysteries": {
"alias": " - leaderboard_musr_murder_mysteries",
"acc_norm,none": 0.584,
"acc_norm_stderr,none": 0.031235856237014505
},
"leaderboard_musr_object_placements": {
"alias": " - leaderboard_musr_object_placements",
"acc_norm,none": 0.265625,
"acc_norm_stderr,none": 0.027658162598649488
},
"leaderboard_musr_team_allocation": {
"alias": " - leaderboard_musr_team_allocation",
"acc_norm,none": 0.412,
"acc_norm_stderr,none": 0.03119159602602282
}
},
"leaderboard": {
"acc,none": 0.5088929521276596,
"acc_stderr,none": 0.004557749352736335,
"acc_norm,none": 0.5772473732001556,
"acc_norm_stderr,none": 0.0051629491888934955,
"exact_match,none": 0.0445619335347432,
"exact_match_stderr,none": 0.005666316247127577,
"inst_level_loose_acc,none": 0.8309352517985612,
"inst_level_loose_acc_stderr,none": "N/A",
"prompt_level_loose_acc,none": 0.7707948243992606,
"prompt_level_loose_acc_stderr,none": 0.018087757424955286,
"inst_level_strict_acc,none": 0.8069544364508393,
"inst_level_strict_acc_stderr,none": "N/A",
"prompt_level_strict_acc,none": 0.7430683918669131,
"prompt_level_strict_acc_stderr,none": 0.01880296257563689,
"alias": "leaderboard"
},
"leaderboard_bbh": {
"acc_norm,none": 0.6405137996875543,
"acc_norm_stderr,none": 0.005843282173574642,
"alias": " - leaderboard_bbh"
},
"leaderboard_bbh_boolean_expressions": {
"alias": " - leaderboard_bbh_boolean_expressions",
"acc_norm,none": 0.892,
"acc_norm_stderr,none": 0.019669559381568776
},
"leaderboard_bbh_causal_judgement": {
"alias": " - leaderboard_bbh_causal_judgement",
"acc_norm,none": 0.6203208556149733,
"acc_norm_stderr,none": 0.03558443628801667
},
"leaderboard_bbh_date_understanding": {
"alias": " - leaderboard_bbh_date_understanding",
"acc_norm,none": 0.692,
"acc_norm_stderr,none": 0.02925692860650181
},
"leaderboard_bbh_disambiguation_qa": {
"alias": " - leaderboard_bbh_disambiguation_qa",
"acc_norm,none": 0.716,
"acc_norm_stderr,none": 0.028576958730437443
},
"leaderboard_bbh_formal_fallacies": {
"alias": " - leaderboard_bbh_formal_fallacies",
"acc_norm,none": 0.656,
"acc_norm_stderr,none": 0.03010450339231644
},
"leaderboard_bbh_geometric_shapes": {
"alias": " - leaderboard_bbh_geometric_shapes",
"acc_norm,none": 0.608,
"acc_norm_stderr,none": 0.030938207620401222
},
"leaderboard_bbh_hyperbaton": {
"alias": " - leaderboard_bbh_hyperbaton",
"acc_norm,none": 0.76,
"acc_norm_stderr,none": 0.027065293652238982
},
"leaderboard_bbh_logical_deduction_five_objects": {
"alias": " - leaderboard_bbh_logical_deduction_five_objects",
"acc_norm,none": 0.632,
"acc_norm_stderr,none": 0.03056207062099311
},
"leaderboard_bbh_logical_deduction_seven_objects": {
"alias": " - leaderboard_bbh_logical_deduction_seven_objects",
"acc_norm,none": 0.612,
"acc_norm_stderr,none": 0.030881038748993974
},
"leaderboard_bbh_logical_deduction_three_objects": {
"alias": " - leaderboard_bbh_logical_deduction_three_objects",
"acc_norm,none": 0.94,
"acc_norm_stderr,none": 0.015050117079158739
},
"leaderboard_bbh_movie_recommendation": {
"alias": " - leaderboard_bbh_movie_recommendation",
"acc_norm,none": 0.76,
"acc_norm_stderr,none": 0.027065293652238982
},
"leaderboard_bbh_navigate": {
"alias": " - leaderboard_bbh_navigate",
"acc_norm,none": 0.672,
"acc_norm_stderr,none": 0.029752391824475363
},
"leaderboard_bbh_object_counting": {
"alias": " - leaderboard_bbh_object_counting",
"acc_norm,none": 0.46,
"acc_norm_stderr,none": 0.031584653891499004
},
"leaderboard_bbh_penguins_in_a_table": {
"alias": " - leaderboard_bbh_penguins_in_a_table",
"acc_norm,none": 0.636986301369863,
"acc_norm_stderr,none": 0.03993397596179569
},
"leaderboard_bbh_reasoning_about_colored_objects": {
"alias": " - leaderboard_bbh_reasoning_about_colored_objects",
"acc_norm,none": 0.816,
"acc_norm_stderr,none": 0.02455581299422255
},
"leaderboard_bbh_ruin_names": {
"alias": " - leaderboard_bbh_ruin_names",
"acc_norm,none": 0.816,
"acc_norm_stderr,none": 0.02455581299422255
},
"leaderboard_bbh_salient_translation_error_detection": {
"alias": " - leaderboard_bbh_salient_translation_error_detection",
"acc_norm,none": 0.636,
"acc_norm_stderr,none": 0.030491555220405475
},
"leaderboard_bbh_snarks": {
"alias": " - leaderboard_bbh_snarks",
"acc_norm,none": 0.7865168539325843,
"acc_norm_stderr,none": 0.030799891078809365
},
"leaderboard_bbh_sports_understanding": {
"alias": " - leaderboard_bbh_sports_understanding",
"acc_norm,none": 0.74,
"acc_norm_stderr,none": 0.027797315752644335
},
"leaderboard_bbh_temporal_sequences": {
"alias": " - leaderboard_bbh_temporal_sequences",
"acc_norm,none": 0.652,
"acc_norm_stderr,none": 0.030186568464511673
},
"leaderboard_bbh_tracking_shuffled_objects_five_objects": {
"alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects",
"acc_norm,none": 0.224,
"acc_norm_stderr,none": 0.026421361687347884
},
"leaderboard_bbh_tracking_shuffled_objects_seven_objects": {
"alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects",
"acc_norm,none": 0.184,
"acc_norm_stderr,none": 0.02455581299422255
},
"leaderboard_bbh_tracking_shuffled_objects_three_objects": {
"alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects",
"acc_norm,none": 0.34,
"acc_norm_stderr,none": 0.030020073605457873
},
"leaderboard_bbh_web_of_lies": {
"alias": " - leaderboard_bbh_web_of_lies",
"acc_norm,none": 0.556,
"acc_norm_stderr,none": 0.03148684942554571
},
"leaderboard_gpqa": {
"acc_norm,none": 0.3716442953020134,
"acc_norm_stderr,none": 0.014011490289268045,
"alias": " - leaderboard_gpqa"
},
"leaderboard_gpqa_diamond": {
"alias": " - leaderboard_gpqa_diamond",
"acc_norm,none": 0.35858585858585856,
"acc_norm_stderr,none": 0.034169036403915276
},
"leaderboard_gpqa_extended": {
"alias": " - leaderboard_gpqa_extended",
"acc_norm,none": 0.3663003663003663,
"acc_norm_stderr,none": 0.020637740788656753
},
"leaderboard_gpqa_main": {
"alias": " - leaderboard_gpqa_main",
"acc_norm,none": 0.38392857142857145,
"acc_norm_stderr,none": 0.02300313291907409
},
"leaderboard_ifeval": {
"alias": " - leaderboard_ifeval",
"prompt_level_strict_acc,none": 0.7430683918669131,
"prompt_level_strict_acc_stderr,none": 0.01880296257563689,
"inst_level_strict_acc,none": 0.8069544364508393,
"inst_level_strict_acc_stderr,none": "N/A",
"prompt_level_loose_acc,none": 0.7707948243992606,
"prompt_level_loose_acc_stderr,none": 0.018087757424955286,
"inst_level_loose_acc,none": 0.8309352517985612,
"inst_level_loose_acc_stderr,none": "N/A"
},
"leaderboard_math_hard": {
"exact_match,none": 0.0445619335347432,
"exact_match_stderr,none": 0.005666316247127577,
"alias": " - leaderboard_math_hard"
},
"leaderboard_math_algebra_hard": {
"alias": " - leaderboard_math_algebra_hard",
"exact_match,none": 0.06188925081433225,
"exact_match_stderr,none": 0.013774440126929627
},
"leaderboard_math_counting_and_prob_hard": {
"alias": " - leaderboard_math_counting_and_prob_hard",
"exact_match,none": 0.04065040650406504,
"exact_match_stderr,none": 0.017878907564437465
},
"leaderboard_math_geometry_hard": {
"alias": " - leaderboard_math_geometry_hard",
"exact_match,none": 0.022727272727272728,
"exact_match_stderr,none": 0.0130210469090637
},
"leaderboard_math_intermediate_algebra_hard": {
"alias": " - leaderboard_math_intermediate_algebra_hard",
"exact_match,none": 0.039285714285714285,
"exact_match_stderr,none": 0.011630873964205717
},
"leaderboard_math_num_theory_hard": {
"alias": " - leaderboard_math_num_theory_hard",
"exact_match,none": 0.012987012987012988,
"exact_match_stderr,none": 0.009153145279150204
},
"leaderboard_math_prealgebra_hard": {
"alias": " - leaderboard_math_prealgebra_hard",
"exact_match,none": 0.06217616580310881,
"exact_match_stderr,none": 0.01742697415424056
},
"leaderboard_math_precalculus_hard": {
"alias": " - leaderboard_math_precalculus_hard",
"exact_match,none": 0.05185185185185185,
"exact_match_stderr,none": 0.019154368449050496
},
"leaderboard_mmlu_pro": {
"alias": " - leaderboard_mmlu_pro",
"acc,none": 0.5088929521276596,
"acc_stderr,none": 0.004557749352736335
},
"leaderboard_musr": {
"acc_norm,none": 0.4193121693121693,
"acc_norm_stderr,none": 0.017343672073569773,
"alias": " - leaderboard_musr"
},
"leaderboard_musr_murder_mysteries": {
"alias": " - leaderboard_musr_murder_mysteries",
"acc_norm,none": 0.584,
"acc_norm_stderr,none": 0.031235856237014505
},
"leaderboard_musr_object_placements": {
"alias": " - leaderboard_musr_object_placements",
"acc_norm,none": 0.265625,
"acc_norm_stderr,none": 0.027658162598649488
},
"leaderboard_musr_team_allocation": {
"alias": " - leaderboard_musr_team_allocation",
"acc_norm,none": 0.412,
"acc_norm_stderr,none": 0.03119159602602282
}
}
```
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
### Dataset Sources [optional]
<!-- Provide the basic links for the dataset. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the dataset is intended to be used. -->
### Direct Use
<!-- This section describes suitable use cases for the dataset. -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
[More Information Needed]
## Dataset Structure
<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
[More Information Needed]
## Dataset Creation
### Curation Rationale
<!-- Motivation for the creation of this dataset. -->
[More Information Needed]
### Source Data
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
#### Data Collection and Processing
<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
[More Information Needed]
#### Who are the source data producers?
<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
[More Information Needed]
### Annotations [optional]
<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
#### Annotation process
<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
[More Information Needed]
#### Who are the annotators?
<!-- This section describes the people or systems who created the annotations. -->
[More Information Needed]
#### Personal and Sensitive Information
<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
## Citation [optional]
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Dataset Card Authors [optional]
[More Information Needed]
## Dataset Card Contact
[More Information Needed] |
reflection-gen/ds_chat_reflct_rmsprop_iter1_sppo_hard_new_cn_mining_oj_iter1-bin | reflection-gen | "2024-11-25T00:17:08Z" | 0 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-25T00:17:06Z" | ---
dataset_info:
features:
- name: prompt
dtype: string
- name: chosen
dtype: string
- name: rejected
dtype: string
- name: rejected_traceback
dtype: string
- name: chosen_probs
dtype: float64
- name: chosen_probs_win
dtype: float64
- name: chosen_probs_lose
dtype: float64
splits:
- name: train
num_bytes: 7749203
num_examples: 3150
download_size: 3108272
dataset_size: 7749203
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "ds_chat_reflct_rmsprop_iter1_sppo_hard_new_cn_mining_oj_iter1-bin"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
reflection-gen/ds_chat_reflct_rmsprop_iter1_sppo_hard_new_cn_mining_oj_iter1-full_resp_trace | reflection-gen | "2024-11-25T00:17:10Z" | 0 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-25T00:17:09Z" | ---
dataset_info:
features:
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dtype: string
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dtype: string
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dtype: string
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dtype: string
- name: generate_3
dtype: string
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dtype: int64
- name: traceback_3
dtype: string
- name: probability
sequence:
sequence: float64
- name: rm_scores
sequence: int64
splits:
- name: train
num_bytes: 18508857
num_examples: 3150
download_size: 6739450
dataset_size: 18508857
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "ds_chat_reflct_rmsprop_iter1_sppo_hard_new_cn_mining_oj_iter1-full_resp_trace"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
reflection-gen/ds_chat_reflct_rmsprop_iter1_sppo_hard_new_cn_mining_oj_iter1-bin_all_pairs | reflection-gen | "2024-11-25T00:17:12Z" | 0 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-25T00:17:10Z" | ---
dataset_info:
features:
- name: prompt
dtype: string
- name: chosen
dtype: string
- name: rejected
dtype: string
- name: rejected_traceback
dtype: string
- name: test
dtype: string
splits:
- name: train
num_bytes: 15299160
num_examples: 6016
download_size: 4388091
dataset_size: 15299160
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "ds_chat_reflct_rmsprop_iter1_sppo_hard_new_cn_mining_oj_iter1-bin_all_pairs"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
marcov/esnli_promptsource | marcov | "2024-11-25T00:24:02Z" | 0 | 0 | [
"size_categories:1M<n<10M",
"format:parquet",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-25T00:17:33Z" | ---
dataset_info:
features:
- name: premise
dtype: string
- name: hypothesis
dtype: string
- name: label
dtype:
class_label:
names:
'0': entailment
'1': neutral
'2': contradiction
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dtype: string
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dtype: string
- name: explanation_3
dtype: string
- name: template_name
dtype: string
- name: template
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- name: rendered_input
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- name: rendered_output
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splits:
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num_examples: 98420
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num_examples: 98240
download_size: 772918906
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configs:
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data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
|
marcov/limit_promptsource | marcov | "2024-11-25T00:25:31Z" | 0 | 0 | [
"size_categories:100K<n<1M",
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"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-25T00:25:06Z" | ---
dataset_info:
features:
- name: id
dtype: int32
- name: sentence
dtype: string
- name: motion
dtype: string
- name: motion_entities
list:
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dtype: string
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splits:
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download_size: 48863513
dataset_size: 189021643.0
configs:
- config_name: default
data_files:
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path: data/train-*
- split: test
path: data/test-*
---
|
marcov/covid_qa_castorini_promptsource | marcov | "2024-11-25T00:25:39Z" | 0 | 0 | [
"size_categories:n<1K",
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] | null | "2024-11-25T00:25:37Z" | ---
dataset_info:
features:
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dtype: string
- name: question_query
dtype: string
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dtype: string
- name: answers
sequence:
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splits:
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download_size: 38882
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configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
marcov/health_fact_promptsource | marcov | "2024-11-25T00:27:03Z" | 0 | 0 | [
"size_categories:10K<n<100K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-25T00:25:56Z" | ---
dataset_info:
features:
- name: claim_id
dtype: string
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dtype: string
- name: date_published
dtype: string
- name: explanation
dtype: string
- name: fact_checkers
dtype: string
- name: main_text
dtype: string
- name: sources
dtype: string
- name: label
dtype:
class_label:
names:
'0': 'false'
'1': mixture
'2': 'true'
'3': unproven
- name: subjects
dtype: string
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dtype: string
- name: template
dtype: string
- name: rendered_input
dtype: string
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dtype: string
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download_size: 344347431
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configs:
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data_files:
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path: data/train-*
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path: data/test-*
- split: validation
path: data/validation-*
---
|
Nikyheroin/114 | Nikyheroin | "2024-11-25T00:34:34Z" | 0 | 0 | [
"task_categories:question-answering",
"task_categories:text-classification",
"language:cs",
"size_categories:1K<n<10K",
"format:json",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"doi:10.57967/hf/3623",
"region:us",
"chemistry",
"biology"
] | [
"question-answering",
"text-classification"
] | "2024-11-25T00:26:53Z" | ---
task_categories:
- question-answering
- text-classification
language:
- cs
tags:
- chemistry
- biology
size_categories:
- 100K<n<1M
---
from datasets import load_dataset
ds = load_dataset("zero1zero/erowid") |
marcov/asset_simplification_promptsource | marcov | "2024-11-25T00:27:20Z" | 0 | 0 | [
"size_categories:10K<n<100K",
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] | null | "2024-11-25T00:27:15Z" | ---
dataset_info:
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data_files:
- split: validation
path: data/validation-*
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path: data/test-*
---
|
marcov/asset_ratings_promptsource | marcov | "2024-11-25T00:27:30Z" | 0 | 0 | [
"size_categories:10K<n<100K",
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] | null | "2024-11-25T00:27:27Z" | ---
dataset_info:
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dtype: string
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dtype: int32
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names:
'0': meaning
'1': fluency
'2': simplicity
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dtype: int32
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configs:
- config_name: default
data_files:
- split: full
path: data/full-*
---
|
marcov/emotion_promptsource | marcov | "2024-11-25T00:27:59Z" | 0 | 0 | [
"size_categories:100K<n<1M",
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"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-25T00:27:51Z" | ---
dataset_info:
features:
- name: text
dtype: string
- name: label
dtype:
class_label:
names:
'0': sadness
'1': joy
'2': love
'3': anger
'4': fear
'5': surprise
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dtype: string
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download_size: 16281959
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configs:
- config_name: default
data_files:
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path: data/train-*
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path: data/validation-*
- split: test
path: data/test-*
---
|
marcov/sst_default_promptsource | marcov | "2024-11-25T00:28:21Z" | 0 | 0 | [
"size_categories:10K<n<100K",
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"library:pandas",
"library:mlcroissant",
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"region:us"
] | null | "2024-11-25T00:28:12Z" | ---
dataset_info:
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configs:
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data_files:
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path: data/train-*
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path: data/validation-*
- split: test
path: data/test-*
---
|
marcov/cos_e_v1.0_promptsource | marcov | "2024-11-25T00:28:57Z" | 0 | 0 | [
"size_categories:10K<n<100K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-11-25T00:28:46Z" | ---
dataset_info:
features:
- name: id
dtype: string
- name: question
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- name: choices
sequence: string
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license: mit
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marcov/adversarial_qa_droberta_promptsource | marcov | "2024-11-25T00:32:52Z" | 0 | 0 | [
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marcov/openai_humaneval_promptsource | marcov | "2024-11-25T00:34:03Z" | 0 | 0 | [
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seungone/ablation1_code_gpt4o_mini | seungone | "2024-11-25T00:41:34Z" | 0 | 0 | [
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seungone/ablation2_math_llama3.1_8b_instructl | seungone | "2024-11-25T00:42:59Z" | 0 | 0 | [
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seungone/ablation3_math_llama3.1_8b_instruct | seungone | "2024-11-25T00:43:48Z" | 0 | 0 | [
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|
nexaai-unreleased/allava_vflan_dpo_v2 | nexaai-unreleased | "2024-11-25T00:55:31Z" | 0 | 0 | [
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|
reflection-gen/ds_chat_reflct_rmsprop_iter1_sppo_hard_new_cn_mining_oj_iter1-bin-reflct | reflection-gen | "2024-11-25T01:02:04Z" | 0 | 0 | [
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---
# Dataset Card for "ds_chat_reflct_rmsprop_iter1_sppo_hard_new_cn_mining_oj_iter1-bin-reflct"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
marcov/math_dataset_algebra__linear_1d_composed_promptsource | marcov | "2024-11-25T01:26:52Z" | 0 | 0 | [
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GitBag/llama3-ultrafeedback-reasoning-iter_2-1732268914-tokenized_harvard | GitBag | "2024-11-25T01:23:58Z" | 0 | 0 | [
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Roxanne-WANG/Integration_Problem_Set | Roxanne-WANG | "2024-11-25T01:23:27Z" | 0 | 0 | [
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license: mit
---
|
hoonikoo/iio-ir-1125 | hoonikoo | "2024-11-25T01:25:21Z" | 0 | 0 | [
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license: apache-2.0
---
|
yiqing111/Technology_job_dataset | yiqing111 | "2024-11-25T01:27:01Z" | 0 | 0 | [
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] | null | "2024-11-25T01:27:01Z" | Temporary Redirect. Redirecting to /datasets/yiqing111/Engineering_Jobs_Insight_Dataset/resolve/main/README.md |