Datasets:
librarian-bots
/
dataset_cards_with_metadata

Dataset card Data Studio Files Community
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4.8M
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Shahid-79/finetuning_demo
Shahid-79
"2024-09-10T12:12:53Z"
35
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-10T12:12:51Z"
--- dataset_info: features: - name: prompt dtype: string splits: - name: train num_bytes: 13461 num_examples: 3 download_size: 3492 dataset_size: 13461 configs: - config_name: default data_files: - split: train path: data/train-* ---
linmin2024/SelfDataSet
linmin2024
"2024-09-10T12:21:28Z"
35
0
[ "license:llama3", "size_categories:n<1K", "modality:text", "region:us" ]
null
"2024-09-10T12:14:59Z"
--- license: llama3 ---
cppmai/rvl_cdip_QA_S_0.9_old
cppmai
"2024-09-10T12:43:57Z"
35
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-10T12:43:32Z"
--- dataset_info: features: - name: content dtype: string - name: question dtype: string - name: answer dtype: string - name: category dtype: string - name: summary dtype: string - name: image_path dtype: string splits: - name: train num_bytes: 75592363 num_examples: 31237 - name: test num_bytes: 18888309 num_examples: 7810 download_size: 69175203 dataset_size: 94480672 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---
App1ePie/240910_data
App1ePie
"2024-09-10T12:55:50Z"
35
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-10T12:55:47Z"
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 1776059 num_examples: 12389 download_size: 319277 dataset_size: 1776059 configs: - config_name: default data_files: - split: train path: data/train-* ---
GitBag/ultrainteract_multiturn-reward-ckp_2
GitBag
"2024-09-10T13:34:14Z"
35
0
[ "size_categories:100K<n<1M", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-10T13:28:16Z"
--- dataset_info: features: - name: trajectory list: - name: content dtype: string - name: role dtype: string - name: sampled_h_from_5 dtype: int64 - name: trajectory_sampled_h_from_5 list: - name: content dtype: string - name: role dtype: string - name: sampled_len_from_5 dtype: int64 - name: sampled_h_from_sampled_len dtype: int64 - name: trajectory_sampled_h_from_sampled_len list: - name: content dtype: string - name: role dtype: string - name: trajectory_H-1 list: - name: content dtype: string - name: role dtype: string - name: trajectory_sampled_h_from_sampled_len_reward sequence: float64 - name: trajectory_H-1_reward sequence: float64 splits: - name: train num_bytes: 3414154383 num_examples: 122674 download_size: 1060015009 dataset_size: 3414154383 configs: - config_name: default data_files: - split: train path: data/train-* ---
1231czx/ver2_rm_p01_n8
1231czx
"2024-09-10T14:34:55Z"
35
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-10T14:34:53Z"
--- dataset_info: features: - name: instruction dtype: string - name: output dtype: string - name: generator dtype: string splits: - name: train num_bytes: 1368041 num_examples: 805 download_size: 822298 dataset_size: 1368041 configs: - config_name: default data_files: - split: train path: data/train-* ---
mahmoudOmar03/Mahmoud101
mahmoudOmar03
"2024-09-10T14:35:50Z"
35
0
[ "size_categories:n<1K", "modality:text", "region:us" ]
null
"2024-09-10T14:35:36Z"
--- dataset_info: features: - name: q dtype: string - name: a dtype: string splits: - name: train num_bytes: 23474.4 num_examples: 80 - name: test num_bytes: 5868.6 num_examples: 20 download_size: 17939 dataset_size: 29343.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---
KathirKs/CC-MAIN-2016-40_row_wise_20240910_144131
KathirKs
"2024-09-10T14:43:08Z"
35
0
[ "size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-10T14:41:32Z"
--- dataset_info: features: - name: text sequence: string - name: uuid dtype: string - name: meta_data struct: - name: dump dtype: string - name: file_path dtype: string - name: id dtype: string - name: url dtype: string splits: - name: train num_bytes: 7343497176 num_examples: 546488 download_size: 2762968651 dataset_size: 7343497176 configs: - config_name: default data_files: - split: train path: data/train-* ---
nbalepur/crossword-clue-generation
nbalepur
"2024-09-10T14:47:29Z"
35
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-10T14:47:27Z"
--- dataset_info: features: - name: answer1 dtype: string - name: answer2 dtype: string - name: answer_length dtype: int64 - name: clue dtype: string splits: - name: full num_bytes: 1281453 num_examples: 32601 - name: one_letter_diff num_bytes: 47089.98785313334 num_examples: 1198 - name: one_letter_diff_subset num_bytes: 19653.58424588203 num_examples: 500 download_size: 681576 dataset_size: 1348196.5720990153 configs: - config_name: default data_files: - split: full path: data/full-* - split: one_letter_diff path: data/one_letter_diff-* - split: one_letter_diff_subset path: data/one_letter_diff_subset-* ---
GitBag/llama3-ultrainteract-sampled-turn-reward
GitBag
"2024-09-10T16:04:20Z"
35
0
[ "size_categories:100K<n<1M", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-10T15:50:10Z"
--- dataset_info: features: - name: task dtype: string - name: dataset dtype: string - name: trajectory list: - name: content dtype: string - name: role dtype: string - name: chosen dtype: string - name: rejected dtype: string - name: id dtype: string - name: parent_id dtype: string - name: original_len dtype: int64 - name: sampled_h_from_original_len dtype: int64 - name: trajectory_sampled_h_from_original_len_0 list: - name: content dtype: string - name: role dtype: string - name: trajectory_sampled_h_from_original_len_1 list: - name: content dtype: string - name: role dtype: string - name: trajectory_sampled_h_from_original_len_0_reward sequence: float64 - name: trajectory_sampled_h_from_original_len_1_reward sequence: float64 splits: - name: train num_bytes: 2372320428 num_examples: 122674 download_size: 713909771 dataset_size: 2372320428 configs: - config_name: default data_files: - split: train path: data/train-* ---
milistu/GUM-NER-conll
milistu
"2024-09-12T15:31:47Z"
35
0
[ "task_categories:token-classification", "language:en", "size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[ "token-classification" ]
"2024-09-10T16:51:24Z"
--- dataset_info: features: - name: id dtype: string - name: words sequence: string - name: ner_tags sequence: class_label: names: '0': O '1': B-abstract '2': I-abstract '3': B-animal '4': I-animal '5': B-event '6': I-event '7': B-object '8': I-object '9': B-organization '10': I-organization '11': B-person '12': I-person '13': B-place '14': I-place '15': B-plant '16': I-plant '17': B-quantity '18': I-quantity '19': B-substance '20': I-substance '21': B-time '22': I-time splits: - name: train num_bytes: 754935 num_examples: 2495 - name: test num_bytes: 311483 num_examples: 1000 download_size: 296638 dataset_size: 1066418 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* task_categories: - token-classification language: - en size_categories: - 1K<n<10K --- # GUM: The Georgetown University Multilayer Corpus The GUM corpus was collected and annotated at Georgetown University. For more information, see the [LICENSE](https://corpling.uis.georgetown.edu/gum). ## Structure - Number of labels: **23** ```Python ['O', 'B-abstract', 'I-abstract', 'B-animal', 'I-animal', 'B-event', 'I-event', 'B-object', 'I-object', 'B-organization', 'I-organization', 'B-person', 'I-person', 'B-place', 'I-place', 'B-plant', 'I-plant', 'B-quantity', 'I-quantity', 'B-substance', 'I-substance', 'B-time', 'I-time'] ``` ### Train set Number of sentences in the train set: **2495** Label count in train set: | Label | Count | |-----------------|--------| | O | 20460 | | I-abstract | 4687 | | I-event | 2707 | | I-place | 2212 | | B-abstract | 2002 | | B-person | 1920 | | I-person | 1866 | | I-object | 1732 | | B-place | 1150 | | B-object | 1017 | | B-event | 738 | | I-time | 663 | | I-organization | 552 | | I-substance | 458 | | B-time | 401 | | B-organization | 397 | | B-substance | 278 | | I-quantity | 203 | | I-plant | 166 | | B-plant | 144 | | B-animal | 141 | | I-animal | 120 | | B-quantity | 97 | ### Test set Number of sentences in the test set: **1000** Label count in test set: | Label | Count | |-----------------|-------| | O | 8543 | | I-abstract | 2048 | | I-event | 934 | | I-place | 926 | | B-person | 823 | | B-abstract | 798 | | I-object | 782 | | I-person | 685 | | B-place | 469 | | B-object | 420 | | B-event | 315 | | I-organization | 278 | | I-time | 242 | | B-organization | 192 | | I-substance | 183 | | B-time | 179 | | B-substance | 95 | | I-quantity | 77 | | B-plant | 62 | | I-plant | 56 | | B-quantity | 44 | | I-animal | 43 | | B-animal | 42 | ## Citation ``` @Article{Zeldes2017, author = {Amir Zeldes}, title = {The {GUM} Corpus: Creating Multilayer Resources in the Classroom}, journal = {Language Resources and Evaluation}, year = {2017}, volume = {51}, number = {3}, pages = {581--612}, doi = {http://dx.doi.org/10.1007/s10579-016-9343-x} } ```
LangAGI-Lab/Mind2Web-axtree-cleaned-lite
LangAGI-Lab
"2024-09-13T15:39:45Z"
35
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-10T17:21:03Z"
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: action_uid dtype: string - name: operation dtype: string - name: pos_candidates sequence: string - name: neg_candidates sequence: string - name: website dtype: string - name: domain dtype: string - name: subdomain dtype: string - name: annotation_id dtype: string - name: confirmed_task dtype: string - name: action_reprs sequence: string - name: target_action_index dtype: string - name: target_action_reprs dtype: string - name: action dtype: string - name: original_action_repr dtype: string - name: original_pos_candidate struct: - name: attributes struct: - name: alt dtype: string - name: aria_description dtype: string - name: aria_label dtype: string - name: backend_node_id dtype: string - name: bounding_box_rect dtype: string - name: class dtype: string - name: data_pw_testid_buckeye_candidate dtype: string - name: id dtype: string - name: input_checked dtype: string - name: input_value dtype: string - name: is_clickable dtype: string - name: label dtype: string - name: name dtype: string - name: placeholder dtype: string - name: role dtype: string - name: text_value dtype: string - name: title dtype: string - name: type dtype: string - name: value dtype: string - name: backend_node_id dtype: string - name: is_original_target dtype: bool - name: is_top_level_target dtype: bool - name: tag dtype: string - name: match_type dtype: string - name: cleaned_accessibility_tree dtype: string - name: previous_actions sequence: string - name: cleaned_next_accessibility_tree dtype: string splits: - name: train num_bytes: 1337810565 num_examples: 7272 download_size: 232977712 dataset_size: 1337810565 --- # Dataset Card for "Mind2Web-axtree-cleaned-lite" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
1231czx/ver2_rm_p02_n8
1231czx
"2024-09-10T17:28:44Z"
35
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-10T17:28:42Z"
--- dataset_info: features: - name: instruction dtype: string - name: output dtype: string - name: generator dtype: string splits: - name: train num_bytes: 1366068 num_examples: 805 download_size: 822798 dataset_size: 1366068 configs: - config_name: default data_files: - split: train path: data/train-* ---
JuanRsec/GuardiumV1
JuanRsec
"2024-09-10T19:01:22Z"
35
0
[ "license:llama3", "size_categories:n<1K", "format:json", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-10T19:00:42Z"
--- license: llama3 ---
Jawad028/fashion_image_caption-100-v2
Jawad028
"2024-09-10T19:15:20Z"
35
0
[ "size_categories:n<1K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-10T19:15:04Z"
--- dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 22820471.0 num_examples: 100 download_size: 22820373 dataset_size: 22820471.0 configs: - config_name: default data_files: - split: train path: data/train-* ---
Darijaorg/dr
Darijaorg
"2024-09-10T20:38:11Z"
35
0
[ "license:mit", "size_categories:n<1K", "format:csv", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-10T19:42:33Z"
--- license: mit ---
Qilex/tiny_stories_aug_25_all
Qilex
"2024-09-10T21:03:23Z"
35
0
[ "size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-10T21:02:59Z"
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 564368146 num_examples: 681923 download_size: 292450559 dataset_size: 564368146 configs: - config_name: default data_files: - split: train path: data/train-* ---
Qilex/tiny_stories_aug_25_first_pass
Qilex
"2024-09-10T21:23:52Z"
35
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-10T21:23:48Z"
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 51500101 num_examples: 61993 download_size: 26841348 dataset_size: 51500101 configs: - config_name: default data_files: - split: train path: data/train-* ---
Qilex/tiny_stories_aug_25_third_pass
Qilex
"2024-09-10T21:24:00Z"
35
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-10T21:23:57Z"
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 51352149 num_examples: 61993 download_size: 26655189 dataset_size: 51352149 configs: - config_name: default data_files: - split: train path: data/train-* ---
Qilex/tiny_stories_aug_25_fourth_pass
Qilex
"2024-09-10T21:24:04Z"
35
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-10T21:24:01Z"
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 51545501 num_examples: 61993 download_size: 26662882 dataset_size: 51545501 configs: - config_name: default data_files: - split: train path: data/train-* ---
Qilex/tiny_stories_aug_25_fifth_pass
Qilex
"2024-09-10T21:24:07Z"
35
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-10T21:24:04Z"
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 51541464 num_examples: 61993 download_size: 26676118 dataset_size: 51541464 configs: - config_name: default data_files: - split: train path: data/train-* ---
neoneye/simon-arc-solve-bool-v4
neoneye
"2024-09-10T22:31:52Z"
35
0
[ "task_categories:image-to-text", "task_categories:text-to-image", "language:en", "license:mit", "size_categories:100K<n<1M", "format:json", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[ "image-to-text", "text-to-image" ]
"2024-09-10T22:19:48Z"
--- license: mit task_categories: - image-to-text - text-to-image language: - en pretty_name: simons ARC (abstraction & reasoning corpus) solve bool version 4 size_categories: - 10K<n<100K configs: - config_name: default data_files: - split: train path: data.jsonl --- # Version 1 ARC-AGI Tasks where the job is to apply boolean operations between 2 images that are stacked. example count: 2-4. test count: 1-2. image size: 3-5. operations: same, and, or, xor. # Version 2 operations: and, or, xor. Eliminated the `same`, since it's the same as `xor`. Different palette for input_a and input_b. # Version 3 image size: 2-7. # Version 4 Earlier predictions added to some of the rows.
1231czx/ver2_rrm_p005_n64
1231czx
"2024-09-10T22:20:02Z"
35
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-10T22:20:01Z"
--- dataset_info: features: - name: instruction dtype: string - name: output dtype: string - name: generator dtype: string splits: - name: train num_bytes: 1503900 num_examples: 805 download_size: 899967 dataset_size: 1503900 configs: - config_name: default data_files: - split: train path: data/train-* ---
1231czx/llama_sft_dpo_bold_list_attack_eval_iter2
1231czx
"2024-09-10T22:27:53Z"
35
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-10T22:27:52Z"
--- dataset_info: features: - name: prompt dtype: string - name: responses sequence: string - name: generator dtype: string - name: dataset dtype: string splits: - name: train num_bytes: 1467404 num_examples: 800 download_size: 859849 dataset_size: 1467404 configs: - config_name: default data_files: - split: train path: data/train-* ---
Schmitz005/kaggle-recipe-categorized-chunk-1
Schmitz005
"2024-09-10T22:58:20Z"
35
0
[ "size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-10T22:57:55Z"
--- dataset_info: features: - name: 'Unnamed: 0' dtype: int64 - name: title dtype: string - name: ingredients dtype: string - name: directions dtype: string - name: link dtype: string - name: source dtype: class_label: names: '0': Gathered - name: NER dtype: string splits: - name: train num_bytes: 64015537 num_examples: 100000 download_size: 28018845 dataset_size: 64015537 configs: - config_name: default data_files: - split: train path: data/train-* ---
Schmitz005/kaggle-recipe-categorized-chunk-3
Schmitz005
"2024-09-10T22:59:07Z"
35
0
[ "size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-10T22:58:44Z"
--- dataset_info: features: - name: 'Unnamed: 0' dtype: int64 - name: title dtype: string - name: ingredients dtype: string - name: directions dtype: string - name: link dtype: string - name: source dtype: class_label: names: '0': Gathered - name: NER dtype: string splits: - name: train num_bytes: 63699000 num_examples: 100000 download_size: 27885686 dataset_size: 63699000 configs: - config_name: default data_files: - split: train path: data/train-* ---
Schmitz005/kaggle-recipe-categorized-chunk-5
Schmitz005
"2024-09-10T22:59:57Z"
35
0
[ "size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-10T22:59:31Z"
--- dataset_info: features: - name: 'Unnamed: 0' dtype: int64 - name: title dtype: string - name: ingredients dtype: string - name: directions dtype: string - name: link dtype: string - name: source dtype: class_label: names: '0': Gathered - name: NER dtype: string splits: - name: train num_bytes: 63728696 num_examples: 100000 download_size: 27915674 dataset_size: 63728696 configs: - config_name: default data_files: - split: train path: data/train-* ---
jganzabalseenka/Nota_2024-09-09T20_24hs
jganzabalseenka
"2024-09-10T23:42:44Z"
35
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-10T23:42:36Z"
--- dataset_info: features: - name: asset_id dtype: int64 - name: title_ch dtype: string - name: Asset Destination dtype: string - name: media dtype: string - name: impact dtype: int64 - name: start_time_utc dtype: timestamp[ns] - name: start_time_local dtype: timestamp[ns] - name: entities_curated sequence: string - name: entities sequence: string - name: predicted_at_entities dtype: timestamp[ns] - name: entities_raw_transformers list: - name: entities list: - name: end dtype: int64 - name: entity_group dtype: string - name: score dtype: float64 - name: start dtype: int64 - name: word dtype: string - name: text dtype: string - name: entities_transformers sequence: string - name: keywords sequence: string - name: predicted_at_keywords dtype: timestamp[ns] - name: title dtype: string - name: text dtype: string - name: predicted_at_text dtype: timestamp[us, tz=UTC] - name: truncated_text dtype: string - name: title_and_text dtype: string - name: prediction_delay_predictions dtype: float64 - name: prediction_delay dtype: float64 splits: - name: train num_bytes: 187466345 num_examples: 19199 download_size: 103153909 dataset_size: 187466345 configs: - config_name: default data_files: - split: train path: data/train-* ---
GoldSeongmo/llama3_movie
GoldSeongmo
"2024-09-11T01:43:53Z"
35
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-11T01:43:51Z"
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 5826 num_examples: 39 download_size: 2572 dataset_size: 5826 configs: - config_name: default data_files: - split: train path: data/train-* ---
GoldSeongmo/llama3_custom
GoldSeongmo
"2024-09-11T01:45:47Z"
35
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-11T01:45:25Z"
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 5826 num_examples: 39 download_size: 2572 dataset_size: 5826 configs: - config_name: default data_files: - split: train path: data/train-* ---
xin1997/codebenchgen_all_only_input
xin1997
"2024-09-11T02:19:04Z"
35
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-11T02:19:01Z"
--- dataset_info: features: - name: id dtype: string - name: content dtype: string splits: - name: train num_bytes: 6475780 num_examples: 1931 download_size: 2532095 dataset_size: 6475780 configs: - config_name: default data_files: - split: train path: data/train-* ---
xin1997/codereval-python_all_only_input
xin1997
"2024-09-11T03:03:14Z"
35
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-11T03:03:10Z"
--- dataset_info: features: - name: id dtype: string - name: content dtype: string - name: max_stars_repo_path dtype: string splits: - name: train num_bytes: 4067800 num_examples: 230 download_size: 1145534 dataset_size: 4067800 configs: - config_name: default data_files: - split: train path: data/train-* ---
kobe-ja/Test_AsBillSeesIt
kobe-ja
"2024-09-11T04:22:44Z"
35
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-11T04:22:44Z"
--- dataset_info: features: - name: output dtype: string - name: input dtype: string - name: instruction dtype: string splits: - name: train num_bytes: 267978 num_examples: 6 download_size: 174573 dataset_size: 267978 configs: - config_name: default data_files: - split: train path: data/train-* ---
1231czx/llama_sft_dpo_bold_list_attack_eval_iter3
1231czx
"2024-09-11T04:25:21Z"
35
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-11T04:25:20Z"
--- dataset_info: features: - name: prompt dtype: string - name: responses sequence: string - name: generator dtype: string - name: dataset dtype: string splits: - name: train num_bytes: 1573378 num_examples: 800 download_size: 912619 dataset_size: 1573378 configs: - config_name: default data_files: - split: train path: data/train-* ---
omnineura/ABC
omnineura
"2024-09-11T05:20:20Z"
35
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-11T05:20:19Z"
--- dataset_info: features: - name: context dtype: string - name: question dtype: string - name: answers dtype: string splits: - name: train num_bytes: 67890771 num_examples: 80000 download_size: 12213819 dataset_size: 67890771 configs: - config_name: default data_files: - split: train path: data/train-* ---
omnineura/QAT
omnineura
"2024-09-11T05:29:38Z"
35
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-11T05:29:37Z"
--- dataset_info: features: - name: context dtype: string - name: question dtype: string - name: answers dtype: string splits: - name: train num_bytes: 76279 num_examples: 102 download_size: 22504 dataset_size: 76279 configs: - config_name: default data_files: - split: train path: data/train-* ---
omnineura/ttt
omnineura
"2024-09-11T05:33:21Z"
35
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-11T05:33:19Z"
--- dataset_info: features: - name: context dtype: string - name: question dtype: string - name: answers dtype: string splits: - name: train num_bytes: 76279 num_examples: 102 download_size: 22504 dataset_size: 76279 configs: - config_name: default data_files: - split: train path: data/train-* ---
pacozaa/tech-company-news-data-dump-clean
pacozaa
"2024-09-11T07:25:07Z"
35
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-11T07:08:38Z"
--- dataset_info: features: - name: companyName dtype: string - name: description dtype: string splits: - name: train num_bytes: 561548 num_examples: 2923 download_size: 408522 dataset_size: 561548 configs: - config_name: default data_files: - split: train path: data/train-* --- # List of Company name and Description from HackerNoon Tech Companh Dataset [HackerNoon Tech Companh Dataset](https://huggingface.co/datasets/HackerNoon/tech-company-news-data-dump) ### Here is the code I use to transform ``` from datasets import load_dataset, Dataset # Load the dataset dataset = load_dataset('HackerNoon/tech-company-news-data-dump', split='train') # Filter out rows where the "description" column is None or empty filtered_dataset = dataset.filter(lambda x: x['description'] is not None and x['description'] != '') # Extract the 'companyName' and 'description' columns extracted_data = filtered_dataset.select_columns(['companyName', 'description']) # Remove duplicates from the 'companyName' column while keeping corresponding 'description' unique_data = {} for row in extracted_data: if row['companyName'] not in unique_data: unique_data[row['companyName']] = row['description'] # Convert the unique data back to a Hugging Face Dataset new_dataset = Dataset.from_dict({ 'companyName': list(unique_data.keys()), 'description': list(unique_data.values()) }) # Push the new dataset to Hugging Face new_dataset.push_to_hub('pacozaa/tech-company-news-data-dump-clean') # Print the length of the new dataset print(len(new_dataset)) ```
ShiyaMer/112DataSet
ShiyaMer
"2024-09-11T07:33:20Z"
35
0
[ "license:apache-2.0", "region:us" ]
null
"2024-09-11T07:31:04Z"
--- license: apache-2.0 ---
equiron-ai/eva_defense
equiron-ai
"2024-09-11T07:33:25Z"
35
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-11T07:33:25Z"
--- dataset_info: features: - name: instruct dtype: string - name: input dtype: string - name: output dtype: string splits: - name: train num_bytes: 358798 num_examples: 64 download_size: 25801 dataset_size: 358798 configs: - config_name: default data_files: - split: train path: data/train-* ---
leomorden/ruozhiba-llama3-tt
leomorden
"2024-09-11T09:50:20Z"
35
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
"2024-09-11T09:34:24Z"
--- license: apache-2.0 ---
Jpep26/AfterProcessing
Jpep26
"2024-09-12T07:08:02Z"
35
0
[ "size_categories:1K<n<10K", "format:parquet", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-11T09:42:08Z"
--- dataset_info: features: - name: input_features sequence: sequence: float32 - name: labels sequence: int64 splits: - name: train num_bytes: 1198830560 num_examples: 1248 - name: test num_bytes: 150815912 num_examples: 157 - name: valid num_bytes: 149852472 num_examples: 156 download_size: 236553468 dataset_size: 1499498944 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: valid path: data/valid-* ---
neoneye/simon-arc-solve-erosion-v2
neoneye
"2024-09-11T12:37:09Z"
35
0
[ "task_categories:image-to-text", "task_categories:text-to-image", "language:en", "license:mit", "size_categories:100K<n<1M", "format:json", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[ "image-to-text", "text-to-image" ]
"2024-09-11T11:14:40Z"
--- license: mit task_categories: - image-to-text - text-to-image language: - en pretty_name: simons ARC (abstraction & reasoning corpus) solve erosion version 2 size_categories: - 10K<n<100K configs: - config_name: default data_files: - split: train path: data.jsonl --- # Version 1 ARC-AGI Tasks where the job is to erode images by removing the outermost pixels from the colored areas. example count: 2-4. test count: 1-2. image size: 3-6. # Version 2 Earlier predictions added to some of the rows.
StockLlama/BTC-USD-2020-01-01_2024-08-24
StockLlama
"2024-09-11T13:04:44Z"
35
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:timeseries", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-11T13:04:44Z"
--- dataset_info: features: - name: input_ids sequence: float32 - name: label dtype: float64 splits: - name: train num_bytes: 1492876 num_examples: 1441 download_size: 127202 dataset_size: 1492876 configs: - config_name: default data_files: - split: train path: data/train-* ---
xin1997/humaneval-x-java_all_only_input
xin1997
"2024-09-11T14:22:22Z"
35
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-11T14:22:18Z"
--- dataset_info: features: - name: id dtype: string - name: content dtype: string splits: - name: train num_bytes: 350708 num_examples: 164 download_size: 108300 dataset_size: 350708 configs: - config_name: default data_files: - split: train path: data/train-* ---
quarkymatter/PolicyPro_dataset
quarkymatter
"2024-09-30T16:33:16Z"
35
0
[ "task_categories:text-classification", "language:en", "license:llama3.1", "size_categories:n<1K", "format:csv", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[ "text-classification" ]
"2024-09-11T14:27:07Z"
--- license: llama3.1 task_categories: - text-classification language: - en pretty_name: Policy Document Data size_categories: - n<1K --- # Dataset Card for Dataset Name <!-- Provide a quick summary of the dataset. --> This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1). ## 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]
316usman/thematic1e-rr-embed
316usman
"2024-09-11T14:38:53Z"
35
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-11T14:38:27Z"
--- dataset_info: features: - name: text dtype: string - name: document_url dtype: string - name: source_url dtype: string - name: num_tokens dtype: int64 splits: - name: train num_bytes: 12999710.349448346 num_examples: 19909 download_size: 4755135 dataset_size: 12999710.349448346 configs: - config_name: default data_files: - split: train path: data/train-* ---
xin1997/pythonsaga_all_only_input
xin1997
"2024-09-11T14:42:47Z"
35
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-11T14:42:45Z"
--- dataset_info: features: - name: id dtype: string - name: content dtype: string splits: - name: train num_bytes: 332802 num_examples: 185 download_size: 146419 dataset_size: 332802 configs: - config_name: default data_files: - split: train path: data/train-* ---
Chamzzang/pet_letter_data_cham
Chamzzang
"2024-09-15T08:09:44Z"
35
0
[ "license:llama3.1", "size_categories:n<1K", "format:json", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-11T15:00:27Z"
--- license: llama3.1 ---
xin1997/poj104_test_set_only_input
xin1997
"2024-09-11T15:09:49Z"
35
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-11T15:09:45Z"
--- dataset_info: features: - name: id dtype: int64 - name: content dtype: string splits: - name: train num_bytes: 7201006 num_examples: 12000 download_size: 2851415 dataset_size: 7201006 configs: - config_name: default data_files: - split: train path: data/train-* ---
1231czx/llama_sft_dpo_bold_list_attack_eval_offline_base
1231czx
"2024-09-11T15:18:32Z"
35
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-11T15:18:31Z"
--- dataset_info: features: - name: prompt dtype: string - name: responses sequence: string - name: generator dtype: string - name: dataset dtype: string splits: - name: train num_bytes: 1295576 num_examples: 800 download_size: 758404 dataset_size: 1295576 configs: - config_name: default data_files: - split: train path: data/train-* ---
neoneye/simon-arc-solve-gravity-v13
neoneye
"2024-09-11T15:42:15Z"
35
0
[ "task_categories:image-to-text", "task_categories:text-to-image", "language:en", "license:mit", "size_categories:100K<n<1M", "format:json", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[ "image-to-text", "text-to-image" ]
"2024-09-11T15:39:45Z"
--- license: mit task_categories: - image-to-text - text-to-image language: - en pretty_name: simons ARC (abstraction & reasoning corpus) solve gravity version 13 size_categories: - 10K<n<100K configs: - config_name: default data_files: - split: train path: data.jsonl --- # Version 1 ARC-AGI Tasks where the job is to apply gravity in the directions up/down/left/right. example count: 2-4. test count: 1-2. image size: 3-10. number of pixels to apply gravity to: 2-5. Exercises `image_gravity_move()`. # Version 2 Exercises `image_gravity_draw()`. # Version 3 Exercises `image_gravity_move()` and `image_gravity_draw()`. Increased `max_number_of_positions` from 5 to 8. # Version 4 image size: 3-30. max number of positions: 5. # Version 5 image size: 3-30. max number of positions: 7. # Version 6 Added diagonal movement with `image_gravity_move()`. image size: 3-10. max number of positions: 7. # Version 7 Focus on diagonal movement with `image_gravity_move()`. image size: 3-20. max number of positions: 5. # Version 8 Focus on diagonal movement with `image_gravity_move()`. image size: 3-30. max number of positions: 5. # Version 9 Exercises `image_gravity_move()` and `image_gravity_draw()`. image size: 3-30. max number of positions: 7. # Version 10 Focus on diagonal movement with `image_gravity_draw()`. image size: 3-10. max number of positions: 5. # Version 11 Focus on diagonal movement with `image_gravity_draw()`. image size: 3-20. max number of positions: 5. # Version 12 Focus on diagonal movement with `image_gravity_draw()`. image size: 3-30. max number of positions: 5. # Version 13 Earlier predictions added to some of the rows.
xin1997/bigvul_all_only_input
xin1997
"2024-09-11T16:12:20Z"
35
0
[ "size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-11T16:11:55Z"
--- dataset_info: features: - name: id dtype: string - name: content dtype: string splits: - name: train num_bytes: 890386427 num_examples: 188636 download_size: 176556388 dataset_size: 890386427 configs: - config_name: default data_files: - split: train path: data/train-* ---
xin1997/d2a_code_trace_all_only_input
xin1997
"2024-09-11T16:20:16Z"
35
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-11T16:20:11Z"
--- dataset_info: features: - name: id dtype: string - name: content dtype: string - name: max_stars_repo_path dtype: string splits: - name: train num_bytes: 31107637 num_examples: 4604 download_size: 9565674 dataset_size: 31107637 configs: - config_name: default data_files: - split: train path: data/train-* ---
AminBH/ptb-test-raw.txt
AminBH
"2024-09-11T17:01:34Z"
35
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-11T16:57:45Z"
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 446186 num_examples: 1 download_size: 243783 dataset_size: 446186 configs: - config_name: default data_files: - split: train path: data/train-* ---
Moni040/ipblocking1109
Moni040
"2024-09-11T17:35:50Z"
35
0
[ "license:apache-2.0", "size_categories:n<1K", "format:csv", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-11T17:35:12Z"
--- license: apache-2.0 ---
Qilex/baby_lm_aug_25_seventh_pass
Qilex
"2024-09-11T17:37:31Z"
35
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-11T17:37:24Z"
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 52164959 num_examples: 64018 download_size: 30707229 dataset_size: 52164959 configs: - config_name: default data_files: - split: train path: data/train-* ---
Qilex/baby_lm_aug_25_tenth_pass
Qilex
"2024-09-11T17:37:52Z"
35
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-11T17:37:47Z"
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 52095707 num_examples: 64018 download_size: 30551693 dataset_size: 52095707 configs: - config_name: default data_files: - split: train path: data/train-* ---
Qilex/baby_lm_10m_aug_25_all
Qilex
"2024-09-11T17:39:42Z"
35
0
[ "size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-11T17:39:12Z"
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 571761769 num_examples: 704198 download_size: 335946958 dataset_size: 571761769 configs: - config_name: default data_files: - split: train path: data/train-* ---
ajinkyagaikwad29/finetuning_qa_demo_4
ajinkyagaikwad29
"2024-09-11T17:54:30Z"
35
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-11T17:54:29Z"
--- dataset_info: features: - name: prompt dtype: string splits: - name: train num_bytes: 27830 num_examples: 87 download_size: 10646 dataset_size: 27830 configs: - config_name: default data_files: - split: train path: data/train-* ---
vivym/mimicgen-litdata
vivym
"2024-09-11T18:01:53Z"
35
0
[ "license:unknown", "region:us" ]
null
"2024-09-11T18:01:53Z"
--- license: unknown ---
jjjyu48/SharedMaterialQA
jjjyu48
"2025-01-28T21:33:13Z"
35
0
[ "task_categories:question-answering", "task_categories:zero-shot-classification", "language:en", "size_categories:n<1K", "format:csv", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
[ "question-answering", "zero-shot-classification" ]
"2024-09-11T18:04:36Z"
--- task_categories: - question-answering - zero-shot-classification language: - en size_categories: - n<1K --- ### Dataset Description This dataset contains binary-choice questions about shared materials between objects (mostly artifacts). To correctly answer the questions, one needs to consider detailed information about the possible materials that the objects can be made of. To construct our dataset, we began with an extensive schematic dataset detailing the parts and material composition of primarily man-made objects. From this dataset, we identified triples of objects where the first two objects share a common material, while the third object does not share any material with the second object. We then manually selected 100 triples from this set and corrected any inaccuracies to generate a curated set of test questions for our new dataset. Our questions ask which object is less likely to share material with the second object. This phrasing is preferable to asking which artifact is more likely to share materials with the target object, as it avoids the connotation that the amount of shared material is quantitatively significant for the correct answer. The first two objects of a triple share common materials. When we formulate the questions, we ensure that the correct answer for the first 50 questions is 'b)', and 'a)' for the last 50 questions to keep the test fair and avoid bias. ## Uses This dataset can be used to test large language models. ## Bias, Risks, and Limitations The dataset is small, with only 100 items. The common materials may not be exhaustive lists of any possible material shared between any instances of the first two objects of a triple. Not every pair of instances of the first two objects have a common material. The common materials are materials that the two objects may share. They provide references when one is not sure about the answer. ## Paper This dataset is created for the experiment section of the following paper: Language Models Benefit from Preparation with Elicited Knowledge
ajinkyagaikwad29/finetuning_qa_demo_5
ajinkyagaikwad29
"2024-09-11T18:58:19Z"
35
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-11T18:58:19Z"
--- dataset_info: features: - name: prompt dtype: string splits: - name: train num_bytes: 27830 num_examples: 87 download_size: 10646 dataset_size: 27830 configs: - config_name: default data_files: - split: train path: data/train-* ---
ajinkyagaikwad29/finetuning_qa_demo_6
ajinkyagaikwad29
"2024-09-11T19:23:11Z"
35
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-11T19:23:10Z"
--- dataset_info: features: - name: prompt dtype: string splits: - name: train num_bytes: 27830 num_examples: 87 download_size: 10646 dataset_size: 27830 configs: - config_name: default data_files: - split: train path: data/train-* ---
ajinkyagaikwad29/finetuning_qa_demo_7
ajinkyagaikwad29
"2024-09-11T19:30:54Z"
35
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-11T19:30:53Z"
--- dataset_info: features: - name: prompt dtype: string splits: - name: train num_bytes: 27830 num_examples: 87 download_size: 10646 dataset_size: 27830 configs: - config_name: default data_files: - split: train path: data/train-* ---
Qilex/baby_lm_aug_25_first_five
Qilex
"2024-09-11T21:10:17Z"
35
0
[ "size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-11T21:09:58Z"
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 311070206 num_examples: 384108 download_size: 182874419 dataset_size: 311070206 configs: - config_name: default data_files: - split: train path: data/train-* ---
TOBEAI/NexacroGuideData_V7.4
TOBEAI
"2024-09-12T01:27:13Z"
35
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-12T01:27:11Z"
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 767984 num_examples: 692 download_size: 213650 dataset_size: 767984 configs: - config_name: default data_files: - split: train path: data/train-* ---
xin1997/g-transeval-python_all_only_input
xin1997
"2024-09-12T01:48:28Z"
35
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-12T01:48:25Z"
--- dataset_info: features: - name: id dtype: string - name: content dtype: string splits: - name: train num_bytes: 159269 num_examples: 400 download_size: 51323 dataset_size: 159269 configs: - config_name: default data_files: - split: train path: data/train-* ---
Jll777/nexus
Jll777
"2024-09-24T03:00:20Z"
35
0
[ "license:apache-2.0", "size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-12T01:51:09Z"
--- license: apache-2.0 dataset_info: - config_name: api_list_in_toolllm_format features: - name: file_path dtype: string - name: file_content dtype: string splits: - name: train num_bytes: 182163 num_examples: 10 download_size: 44301 dataset_size: 182163 - config_name: queries_in_toolllm_format features: - name: api_list list: - name: api_name dtype: string - name: category_name dtype: string - name: tool_name dtype: string - name: query dtype: string - name: query_id dtype: int64 splits: - name: train num_bytes: 188894 num_examples: 318 download_size: 28853 dataset_size: 188894 - config_name: raw_queries features: - name: dataset dtype: string - name: query_dict dtype: string splits: - name: train num_bytes: 466227 num_examples: 339 download_size: 98527 dataset_size: 466227 - config_name: standardized_api_list features: - name: dataset dtype: string - name: name dtype: string - name: description dtype: string - name: args_dicts list: - name: default dtype: string - name: description dtype: string - name: name dtype: string - name: required dtype: bool - name: type dtype: string splits: - name: train num_bytes: 50238 num_examples: 70 download_size: 28624 dataset_size: 50238 - config_name: standardized_queries features: - name: dataset dtype: string - name: prompt dtype: string - name: python_function_name dtype: string - name: python_args_dict dtype: string - name: context_functions sequence: string splits: - name: train num_bytes: 153860 num_examples: 318 download_size: 36730 dataset_size: 153860 configs: - config_name: api_list_in_toolllm_format data_files: - split: train path: api_list_in_toolllm_format/train-* - config_name: queries_in_toolllm_format data_files: - split: train path: queries_in_toolllm_format/train-* - config_name: raw_queries data_files: - split: train path: raw_queries/train-* - config_name: standardized_api_list data_files: - split: train path: standardized_api_list/train-* - config_name: standardized_queries data_files: - split: train path: standardized_queries/train-* ---
Qilex/baby_lm_aug_half_second_pass
Qilex
"2024-09-12T01:54:42Z"
35
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-12T01:54:38Z"
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 52030665 num_examples: 64018 download_size: 30837684 dataset_size: 52030665 configs: - config_name: default data_files: - split: train path: data/train-* ---
Qilex/baby_lm_aug_half_third_pass
Qilex
"2024-09-12T01:54:48Z"
35
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-12T01:54:45Z"
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 52023549 num_examples: 64018 download_size: 30780470 dataset_size: 52023549 configs: - config_name: default data_files: - split: train path: data/train-* ---
Qilex/baby_lm_aug_half_fifth_pass
Qilex
"2024-09-12T01:54:58Z"
35
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-12T01:54:55Z"
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 52191959 num_examples: 64018 download_size: 30818838 dataset_size: 52191959 configs: - config_name: default data_files: - split: train path: data/train-* ---
Qilex/baby_lm_aug_half_sixth_pass
Qilex
"2024-09-12T01:55:04Z"
35
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-12T01:55:01Z"
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 52088832 num_examples: 64018 download_size: 30770506 dataset_size: 52088832 configs: - config_name: default data_files: - split: train path: data/train-* ---
Qilex/baby_lm_aug_half_seventh_pass
Qilex
"2024-09-12T01:55:09Z"
35
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-12T01:55:05Z"
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 52196335 num_examples: 64018 download_size: 30846124 dataset_size: 52196335 configs: - config_name: default data_files: - split: train path: data/train-* ---
Qilex/baby_lm_aug_half_tenth_pass
Qilex
"2024-09-12T01:55:23Z"
35
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-12T01:55:20Z"
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 52142804 num_examples: 64018 download_size: 30669531 dataset_size: 52142804 configs: - config_name: default data_files: - split: train path: data/train-* ---
Qilex/baby_lm_10m_aug_half_10
Qilex
"2024-09-12T01:55:50Z"
35
0
[ "size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-12T01:55:33Z"
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 572211240 num_examples: 704198 download_size: 337298084 dataset_size: 572211240 configs: - config_name: default data_files: - split: train path: data/train-* ---
andrew3279/llamagpttest
andrew3279
"2024-09-12T02:20:03Z"
35
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-12T02:12:17Z"
--- dataset_info: features: - name: instruction dtype: string - name: context dtype: string - name: response dtype: string splits: - name: train num_bytes: 14363.25 num_examples: 12 - name: validation num_bytes: 4787.75 num_examples: 4 download_size: 29134 dataset_size: 19151.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* ---
Qilex/baby_lm_aug_full_first_pass
Qilex
"2024-09-12T02:31:19Z"
35
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-12T02:31:16Z"
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 52522827 num_examples: 64018 download_size: 29584218 dataset_size: 52522827 configs: - config_name: default data_files: - split: train path: data/train-* ---
Qilex/baby_lm_aug_full_third_pass
Qilex
"2024-09-12T02:31:26Z"
35
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-12T02:31:24Z"
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 52891403 num_examples: 64018 download_size: 29779376 dataset_size: 52891403 configs: - config_name: default data_files: - split: train path: data/train-* ---
Qilex/baby_lm_aug_full_fourth_pass
Qilex
"2024-09-12T02:31:29Z"
35
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-12T02:31:27Z"
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 53051411 num_examples: 64018 download_size: 29894144 dataset_size: 53051411 configs: - config_name: default data_files: - split: train path: data/train-* ---
Qilex/baby_lm_aug_full_seventh_pass
Qilex
"2024-09-12T02:31:39Z"
35
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-12T02:31:37Z"
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 53256717 num_examples: 64018 download_size: 30116586 dataset_size: 53256717 configs: - config_name: default data_files: - split: train path: data/train-* ---
Qilex/baby_lm_aug_full_eighth_pass
Qilex
"2024-09-12T02:31:42Z"
35
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-12T02:31:40Z"
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 53033993 num_examples: 64018 download_size: 30003172 dataset_size: 53033993 configs: - config_name: default data_files: - split: train path: data/train-* ---
Qilex/baby_lm_aug_full_ninth_pass
Qilex
"2024-09-12T02:31:45Z"
35
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-12T02:31:43Z"
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 53608208 num_examples: 64018 download_size: 30159349 dataset_size: 53608208 configs: - config_name: default data_files: - split: train path: data/train-* ---
Qilex/baby_lm_10m_aug_full_10
Qilex
"2024-09-12T02:32:14Z"
35
0
[ "size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-12T02:31:55Z"
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 581970274 num_examples: 704198 download_size: 329003571 dataset_size: 581970274 configs: - config_name: default data_files: - split: train path: data/train-* ---
xin1997/sven-cpp_all_only_input
xin1997
"2024-09-12T02:40:12Z"
35
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-12T02:40:10Z"
--- dataset_info: features: - name: id dtype: string - name: content dtype: string - name: max_stars_repo_path dtype: string splits: - name: train num_bytes: 26693 num_examples: 18 download_size: 15873 dataset_size: 26693 configs: - config_name: default data_files: - split: train path: data/train-* ---
ycfNTU/usb_list_extract
ycfNTU
"2024-09-12T03:21:16Z"
35
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-12T03:21:06Z"
--- dataset_info: features: - name: id dtype: string - name: domain dtype: string - name: summ_idx dtype: int32 - name: input_lines sequence: string - name: topic_name dtype: string - name: output_lines sequence: string - name: top_sentences_sentence sequence: string splits: - name: train num_bytes: 28914527 num_examples: 1612 - name: validation num_bytes: 15286888 num_examples: 818 - name: test num_bytes: 30655823 num_examples: 1686 download_size: 27334037 dataset_size: 74857238 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* ---
Asap7772/prm800k_passk_qs1000_discount0.9_relabeledvalue_onpolicy_balanced_td
Asap7772
"2024-09-12T03:59:19Z"
35
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-12T03:59:13Z"
--- dataset_info: features: - name: 'Unnamed: 0' dtype: int64 - name: input dtype: string - name: output_prefix dtype: string - name: output dtype: string - name: next_output_prefix dtype: string - name: next_output dtype: string - name: terminal dtype: int64 - name: completion dtype: int64 - name: trajectory dtype: int64 - name: step dtype: int64 - name: label dtype: int64 - name: reward dtype: int64 - name: is_chosen dtype: bool - name: rtg dtype: float64 - name: text dtype: string - name: value_onpolicy_balanced_td dtype: float64 splits: - name: train num_bytes: 26654449 num_examples: 10000 - name: test num_bytes: 30006617 num_examples: 10000 download_size: 2398112 dataset_size: 56661066 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---
Asap7772/prm800k_passk_qs1000_discount0.9_relabeledvalue_balanced_td
Asap7772
"2024-09-12T04:08:26Z"
35
0
[ "size_categories:10K<n<100K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-12T04:08:21Z"
--- dataset_info: features: - name: 'Unnamed: 0' dtype: int64 - name: input dtype: string - name: output_prefix dtype: string - name: output dtype: string - name: next_output_prefix dtype: string - name: next_output dtype: string - name: terminal dtype: int64 - name: completion dtype: int64 - name: trajectory dtype: int64 - name: step dtype: int64 - name: label dtype: int64 - name: reward dtype: int64 - name: is_chosen dtype: bool - name: rtg dtype: float64 - name: text dtype: string - name: value_balanced_td dtype: float64 splits: - name: train num_bytes: 26654449 num_examples: 10000 - name: test num_bytes: 30006617 num_examples: 10000 download_size: 2403917 dataset_size: 56661066 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---
thusinh1969/1000h_STT_dataset_32
thusinh1969
"2024-09-12T04:38:33Z"
35
0
[ "size_categories:10K<n<100K", "format:parquet", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-12T04:29:36Z"
--- dataset_info: features: - name: input_features sequence: sequence: float32 - name: labels sequence: int64 splits: - name: train num_bytes: 30428813273.76 num_examples: 19800 - name: test num_bytes: 307361750.24 num_examples: 200 download_size: 6036027666 dataset_size: 30736175024.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---
TOBEAI/NexacroGuideDataEN_TEST
TOBEAI
"2024-09-12T05:12:06Z"
35
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-12T04:36:03Z"
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 12857 num_examples: 10 download_size: 11439 dataset_size: 12857 configs: - config_name: default data_files: - split: train path: data/train-* ---
pdf2dataset/bb7ae7e314d6a631e292eaec48bc0ad4
pdf2dataset
"2024-09-12T04:45:11Z"
35
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-12T04:45:11Z"
--- dataset_info: features: - name: text dtype: string - name: source dtype: string splits: - name: train num_bytes: 114514 num_examples: 23 download_size: 55966 dataset_size: 114514 configs: - config_name: default data_files: - split: train path: data/train-* ---
ruchirsahni/Vaani_Gorakhpur_tran_hin_audio
ruchirsahni
"2024-09-12T05:36:44Z"
35
0
[ "size_categories:n<1K", "format:parquet", "modality:audio", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-12T05:36:07Z"
--- dataset_info: features: - name: id dtype: int64 - name: file_name dtype: string - name: file_url dtype: string - name: metadata dtype: string - name: transcription dtype: string - name: audio dtype: audio: sampling_rate: 16000 splits: - name: train num_bytes: 256943477.0 num_examples: 991 download_size: 254454352 dataset_size: 256943477.0 configs: - config_name: default data_files: - split: train path: data/train-* ---
omnineura/WEraadasasaas
omnineura
"2024-09-12T06:00:07Z"
35
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-12T06:00:06Z"
--- dataset_info: features: - name: context dtype: string - name: question dtype: string - name: answers dtype: string splits: - name: train num_bytes: 76279 num_examples: 102 download_size: 22504 dataset_size: 76279 configs: - config_name: default data_files: - split: train path: data/train-* ---
omnineura/wewa
omnineura
"2024-09-12T06:08:49Z"
35
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-12T06:08:48Z"
--- dataset_info: features: - name: context dtype: string - name: question dtype: string - name: answers dtype: string splits: - name: train num_bytes: 76279 num_examples: 102 download_size: 22504 dataset_size: 76279 configs: - config_name: default data_files: - split: train path: data/train-* ---
omnineura/omnidataprepare1
omnineura
"2024-09-12T06:33:08Z"
35
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-12T06:33:02Z"
--- dataset_info: features: - name: context dtype: string - name: question dtype: string - name: answers dtype: string splits: - name: train num_bytes: 76279 num_examples: 102 download_size: 22504 dataset_size: 76279 configs: - config_name: default data_files: - split: train path: data/train-* ---
omnineura/preparedata1
omnineura
"2024-09-12T06:51:38Z"
35
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-12T06:51:34Z"
--- dataset_info: features: - name: context dtype: string - name: question dtype: string - name: answers dtype: string splits: - name: train num_bytes: 76279 num_examples: 102 download_size: 22504 dataset_size: 76279 configs: - config_name: default data_files: - split: train path: data/train-* ---
omnineura/evaldataset2
omnineura
"2024-09-12T07:39:33Z"
35
0
[ "size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-12T07:39:30Z"
--- dataset_info: features: - name: context dtype: string - name: question dtype: string - name: answers dtype: string - name: Generated_Question dtype: string - name: Generated_Answer dtype: string splits: - name: train num_bytes: 93940 num_examples: 102 download_size: 34925 dataset_size: 93940 configs: - config_name: default data_files: - split: train path: data/train-* ---
trainwreck200/test-case01
trainwreck200
"2024-09-12T07:53:49Z"
35
0
[ "license:mit", "size_categories:n<1K", "format:json", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-12T07:47:57Z"
--- license: mit ---
uzair921/SKILLSPAN_LLM_BASELINE
uzair921
"2024-09-12T09:37:27Z"
35
0
[ "size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us" ]
null
"2024-09-12T09:37:22Z"
--- dataset_info: features: - name: tokens sequence: string - name: ner_tags sequence: class_label: names: '0': O '1': B-Skill '2': I-Skill splits: - name: train num_bytes: 1064699 num_examples: 2073 - name: validation num_bytes: 715196 num_examples: 1397 - name: test num_bytes: 758463 num_examples: 1523 download_size: 457276 dataset_size: 2538358 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* ---
jtatman/godot_rl_HovercraftRacing
jtatman
"2024-09-12T10:20:22Z"
35
0
[ "size_categories:n<1K", "format:imagefolder", "modality:image", "library:datasets", "library:mlcroissant", "region:us", "deep-reinforcement-learning", "reinforcement-learning", "godot-rl", "environments", "video-games" ]
null
"2024-09-12T10:20:18Z"
--- library_name: godot-rl tags: - deep-reinforcement-learning - reinforcement-learning - godot-rl - environments - video-games --- A RL environment called HovercraftRacing for the Godot Game Engine. This environment was created with: https://github.com/edbeeching/godot_rl_agents ## Downloading the environment After installing Godot RL Agents, download the environment with: ``` gdrl.env_from_hub -r jtatman/godot_rl_HovercraftRacing ```