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"This issue was original reported at https://github.com/huggingface/transformers/issues/14931 and It seems like this issue also occur with other AutoClass like AutoFeatureExtractor."
] | 1,643,253,543,000 | 1,643,253,588,000 | null | NONE | null | ## Describe the bug
AutoTokenizer hash value got change after datasets.map
## Steps to reproduce the bug
1. trash huggingface datasets cache
2. run the following code:
```python
from transformers import AutoTokenizer, BertTokenizer
from datasets import load_dataset
from datasets.fingerprint import Hasher
tok... | {
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"following_url"... | [] | 1,643,233,082,000 | 1,643,233,112,000 | null | MEMBER | null | ## Describe the bug
I am trying to load the [`GEM/RiSAWOZ` dataset](https://huggingface.co/datasets/GEM/RiSAWOZ) in `datasets` v1.18.1 and am running into a type error when casting the features. The strange thing is that I can load the dataset with v1.17.0. Note that the error is also present if I install from `master... | {
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https://api.github.com/repos/huggingface/datasets/issues/3634 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3634/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3634/comments | https://api.github.com/repos/huggingface/datasets/issues/3634/events | https://github.com/huggingface/datasets/issues/3634 | 1,115,133,279 | I_kwDODunzps5Cd5Vf | 3,634 | Dataset.shuffle(seed=None) gives fixed row permutation | {
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"I'm not sure if this is expected behavior.\r\n\r\nAm I supposed to work with a copy of the dataset, i.e. `shuffled_dataset = data.shuffle(seed=None)`?\r\n\r\n```diff\r\nimport datasets\r\n\r\n# Some toy example\r\ndata = datasets.Dataset.from_dict(\r\n {\"feature\": [1, 2, 3, 4, 5], \"label\": [\"a\", \"b\", \"... | 1,643,209,988,000 | 1,643,210,648,000 | null | NONE | null | ## Describe the bug
Repeated attempts to `shuffle` a dataset without specifying a seed give the same results.
## Steps to reproduce the bug
```python
import datasets
# Some toy example
data = datasets.Dataset.from_dict(
{"feature": [1, 2, 3, 4, 5], "label": ["a", "b", "c", "d", "e"]}
)
# Doesn't work... | {
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I also added a fix that makes the script ignore the json, csv, text, parquet and pandas dataset builders.
cc @SBrandeis | {
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"following_url"... | [] | 1,643,204,137,000 | 1,643,204,137,000 | null | CONTRIBUTOR | null | ## Describe the bug
The dataset links are no longer valid for CC-100. It seems that the website which was keeping these files are no longer accessible and therefore this dataset became unusable.
Check out the dataset [homepage](http://data.statmt.org/cc-100/) which isn't accessible.
Also the URLs for dataset file ... | {
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I am trying to load a local CSV file with a separate file containing label names. It is successfully loaded for the first time, but when I try to load it again, there is a conflict between provided labels and the cached dataset info. Disabling caching globally and/or using `download_mode="force_red... | {
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"following_url"... | [] | 1,643,166,349,000 | 1,643,205,806,000 | null | NONE | null | After processing the dataset following official [NewsQA](https://github.com/Maluuba/newsqa), I used datasets to load it:
```
a = load_dataset('newsqa', data_dir='news')
```
and the following error occurred:
```
Using custom data configuration default-data_dir=news
Downloading and preparing dataset newsqa/defaul... | {
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"following_url"... | [] | 1,643,121,585,000 | 1,643,122,546,000 | 1,643,122,546,000 | MEMBER | null | It was not listing the full list of datasets correctly
cc @SBrandeis this is why it failed for 1.18.0
We should be good now ! | {
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"following_url"... | [] | 1,643,119,577,000 | 1,643,119,741,000 | null | NONE | null | First of all, the card creator is a great addition and really helpful for streamlining dataset cards!
## Describe the bug
I encountered an inconvenient bug when entering "Additional Information" in the react app, which drops already entered text when switching to a previous section, and then back again to "Addition... | {
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"We should also update the `bookcorpusopen` download url (see #3561) , no? ",
"For `the_pile_openwebtext2` and `the_pile_stack_exchange` I did not regenerate the JSON files, but instead I just changed the download_checksums URL. "
] | 1,643,098,288,000 | 1,643,188,360,000 | null | MEMBER | null | This PR fixes the host URL in The Pile datasets, once they have mirrored their data in another server.
Fix #3626. | {
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The Pile had issues with their previous host server and have mirrored its content to another server.
The new URL server should be updated.
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"A question to the datasets maintainers: is there a policy about how the set of allowed metadata fields is maintained and expanded?\r\n\r\nMetadata are very important, but defining the standard is always a struggle between allowing exhaustivity without being too complex. Archivists have Dublin Core, open data has h... | 1,643,050,359,000 | 1,643,212,638,000 | null | CONTRIBUTOR | null | **Is your feature request related to a problem? Please describe.**
The current problem is that information about when source data was produced is not easily visible. Though there are a variety of metadata fields available in the dataset viewer, time period information is not included. This feature request suggests mak... | {
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"following_url"... | [] | 1,643,040,052,000 | 1,643,210,192,000 | null | MEMBER | null | This PR extends the support in streaming mode for datasets that use `os.path.relpath`, by patching that function.
This feature will also be useful to yield the relative path of audio or image files, within an archive or parent dir.
Close #3622. | {
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This feature will also be useful to yield the relative path of audio or image files.
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"Hi! We use `tqdm` to display progress bars, so I suggest you open this issue in their repo.",
"It depends on how you use `tqdm`, no? \r\n\r\nDoesn't this library import via; \r\n\r\n```\r\nfrom tqdm.notebook import tqdm\r\n```"
] | 1,643,034,431,000 | 1,643,037,255,000 | null | NONE | null | When I install `datasets` in a fresh virtualenv with jupyterlab I always see this error.
```
ImportError: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
```
It's a bit of a nuisance, because I need to run shut down the jupyterlab ser... | {
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https://api.github.com/repos/huggingface/datasets/issues/3620 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3620/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3620/comments | https://api.github.com/repos/huggingface/datasets/issues/3620/events | https://github.com/huggingface/datasets/pull/3620 | 1,112,677,252 | PR_kwDODunzps4xf1J3 | 3,620 | Add Fon language tag | {
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https://api.github.com/repos/huggingface/datasets/issues/3619 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3619/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3619/comments | https://api.github.com/repos/huggingface/datasets/issues/3619/events | https://github.com/huggingface/datasets/pull/3619 | 1,112,611,415 | PR_kwDODunzps4xfnCQ | 3,619 | fix meta in mls | {
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"Feel free to merge @polinaeterna as soon as you got an approval from either @lhoestq , @albertvillanova or @mariosasko"
] | 1,643,028,878,000 | 1,643,057,602,000 | 1,643,057,602,000 | CONTRIBUTOR | null | `monolingual` value of `m ultilinguality` param in yaml meta was changed to `multilingual` :) | {
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"Hi ! I think you should avoid calling `timit_train['audio']`. Indeed by doing so you're **loading all the audio column in memory**. This is problematic in your case because the TIMIT dataset is huge.\r\n\r\nIf you want to access the audio data of some samples, you should do this instead `timit_train[:10][\"train\"... | 1,642,994,763,000 | 1,643,240,554,000 | null | NONE | null | ## Describe the bug
I am working trying to use the TIMIT dataset in order to fine-tune Wav2Vec2 model and I am unable to load the "audio" column from the dataset when working with a GPU.
I am working on Amazon Sagemaker Studio, on the Python 3 (PyTorch 1.8 Python 3.6 GPU Optimized) environment, with a single ml.g4... | {
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"> Nice ! Thanks for adding this dataset :)\n> \n> \n> \n> I left a few comments:\n\nThanks!\n\nI'd be interested in contributing to the core codebase - I had to go down the custom loading approach because I couldn't pull this dataset in using the load_dataset() method. Using either the json or csv files available ... | 1,642,960,032,000 | 1,643,103,862,000 | null | NONE | null | Think I followed all the steps but please let me know if anything needs changing or any improvements I can make to the code quality | {
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https://api.github.com/repos/huggingface/datasets/issues/3616 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3616/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3616/comments | https://api.github.com/repos/huggingface/datasets/issues/3616/events | https://github.com/huggingface/datasets/pull/3616 | 1,111,587,861 | PR_kwDODunzps4xcZMD | 3,616 | Make streamable the BnL Historical Newspapers dataset | {
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"following_url"... | [] | 1,642,863,156,000 | 1,643,033,627,000 | null | MEMBER | null | I've refactored the code in order to make the dataset streamable and to avoid it takes too long:
- I've used `iter_files`
Close #3615 | {
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"@albertvillanova let me know if there is anything I can do to help with this. I had a quick look at the code again and though I could try the following changes:\r\n- use `download` instead of `download_and_extract`\r\nhttps://github.com/huggingface/datasets/blob/d3d339fb86d378f4cb3c5d1de423315c07a466c6/datasets/bn... | 1,642,860,779,000 | 1,642,870,066,000 | null | MEMBER | null | ## Describe the bug
When trying to load in streaming mode, it "hangs"...
## Steps to reproduce the bug
```python
ds = load_dataset("bnl_newspapers", split="train", streaming=True)
```
## Expected results
The code should be optimized, so that it works fast in streaming mode.
CC: @davanstrien
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"following_url"... | [] | 1,642,787,324,000 | 1,643,028,349,000 | 1,643,028,349,000 | CONTRIBUTOR | null | This PR:
* adds "desc" to the `ignore_kwargs` list in `Dataset.filter`
* fixes the default value of `id` in `DatasetDict.prepare_for_task` | {
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"Yes. The jobs queue is full right now, following an upgrade... Back to normality in the next hours hopefully. I'll look at your datasets to be sure the dataset viewer works as expected on them.",
"Should have been fixed now."
] | 1,642,783,640,000 | 1,642,839,193,000 | 1,642,839,193,000 | NONE | null | ## Dataset viewer issue for '*name of the dataset*'
**Link:**
Some examples:
* https://huggingface.co/datasets/abidlabs/crowdsourced-speech4
* https://huggingface.co/datasets/abidlabs/test-audio-13
*short description of the issue*
It seems that the dataset viewer is reading a cached version of the dataset and... | {
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"tests fail because of dataset_infos.json isn't updated. Unfortunately, I cannot get the datasets-cli locally to execute without error. Would need to troubleshoot, what's missing. Maybe someone else can pick up the stick. ",
"Hi ! If we change the default date to the latest one, users won't be able to load the \"... | 1,642,773,911,000 | 1,643,033,218,000 | null | CONTRIBUTOR | null | This should get the wikipedia dataloading script back up and running - at least I hope so (tested with language ff and ii) | {
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"following_url"... | [] | 1,642,766,970,000 | 1,642,767,227,000 | null | NONE | null | ## Describe the bug
A clear and concise description of what the bug is.
Dataset indexing is not working as expected after `dataset.select(range(100))`
## Steps to reproduce the bug
```python
# Sample code to reproduce the bug
import datasets
task_to_keys = {
"cola": ("sentence", None),
"mnli":... | {
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"It is solved now"
] | 1,642,713,632,000 | 1,642,771,351,000 | 1,642,771,351,000 | NONE | null | ## Describe the bug
A clear and concise description of what the bug is.
## Steps to reproduce the bug
I am getting the issue when trying to load dataset using
```
dataset = load_dataset("amazon_polarity")
```
## Expected results
dataset loaded
## Actual results
```
-------------------------------------... | {
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"Hi ! I think we can simply add a new configuration for the 2022 data instead of replacing them.\r\nYou can add the new configuration here:\r\n```python\r\n BUILDER_CONFIGS = [\r\n datasets.BuilderConfig(name=\"2021\", description=\"The 2021 annual record\", version=datasets.Version(\"1.0.0\")),\r\n ... | 1,642,699,895,000 | 1,643,032,865,000 | null | NONE | null | Pubmed has updated its settings for 2022 and thus existing download script does not work. | {
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"Hey @ck37 \r\n\r\nYou can always use a custom metric as explained [in this guide from HF](https://huggingface.co/docs/datasets/master/loading_metrics.html#using-a-custom-metric-script).\r\n\r\nIf this issue needs to be contributed to (for enhancing the metric API) I think [this link](https://scikit-learn.org/stabl... | 1,642,685,736,000 | 1,643,044,592,000 | null | NONE | null | **Is your feature request related to a problem? Please describe.**
I am uploading our dataset and models for the "Constructing interval measures" method we've developed, which uses item response theory to convert multiple discrete labels into a continuous spectrum for hate speech. Once we have this outcome our NLP m... | {
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TODOs:
* [ ] add dummy data
* [ ] add dataset card
* [ ] generate `dataset_info.json`
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