Datasets:

Conan-Lao

/

github-issues

like 0

https://api.github.com/repos/huggingface/datasets/issues/4855

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4855/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4855/comments

https://api.github.com/repos/huggingface/datasets/issues/4855/events

https://github.com/huggingface/datasets/issues/4855

I_kwDODunzps5P2jMH

Dataset Viewer issue for super_glue

closed

NONE

### Link https://huggingface.co/datasets/super_glue ### Description can't view super_glue dataset on the web page ### Owner _No response_

https://api.github.com/repos/huggingface/datasets/issues/4855/timeline

completed

https://api.github.com/repos/huggingface/datasets/issues/4853

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4853/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4853/comments

https://api.github.com/repos/huggingface/datasets/issues/4853/events

https://github.com/huggingface/datasets/pull/4853

PR_kwDODunzps49NFNL

Fix bug and checksums in exams dataset

closed

MEMBER

Fix #4852.

https://api.github.com/repos/huggingface/datasets/issues/4853/timeline

https://api.github.com/repos/huggingface/datasets/issues/4852

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4852/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4852/comments

https://api.github.com/repos/huggingface/datasets/issues/4852/events

https://github.com/huggingface/datasets/issues/4852

I_kwDODunzps5P1mZv

Bug in multilingual_with_para config of exams dataset and checksums error

closed

MEMBER

## Describe the bug There is a bug for "multilingual_with_para" config in exams dataset: ```python ds = load_dataset("./datasets/exams", split="train") ``` raises: ``` KeyError: 'choices' ``` Moreover, there is a NonMatchingChecksumError: ``` NonMatchingChecksumError: Checksums didn't match for dataset source files: ['https://github.com/mhardalov/exams-qa/raw/main/data/exams/multilingual/with_paragraphs/train_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/multilingual/with_paragraphs/dev_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/multilingual/with_paragraphs/test_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/test_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/train_bg_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/dev_bg_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/train_hr_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/dev_hr_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/train_hu_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/dev_hu_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/train_it_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/dev_it_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/train_mk_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/dev_mk_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/train_pl_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/dev_pl_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/train_pt_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/dev_pt_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/train_sq_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/dev_sq_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/train_sr_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/dev_sr_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/train_tr_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/dev_tr_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/train_vi_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/dev_vi_with_para.jsonl.tar.gz'] ``` CC: @thesofakillers

https://api.github.com/repos/huggingface/datasets/issues/4852/timeline

completed

https://api.github.com/repos/huggingface/datasets/issues/4851

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4851/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4851/comments

https://api.github.com/repos/huggingface/datasets/issues/4851/events

https://github.com/huggingface/datasets/pull/4851

PR_kwDODunzps49L6ee

Fix license tag and Source Data section in billsum dataset card

closed

CONTRIBUTOR

Fixed the data source and license fields

https://api.github.com/repos/huggingface/datasets/issues/4851/timeline

https://api.github.com/repos/huggingface/datasets/issues/4850

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4850/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4850/comments

https://api.github.com/repos/huggingface/datasets/issues/4850/events

https://github.com/huggingface/datasets/pull/4850

PR_kwDODunzps49KnZ8

Fix test of _get_extraction_protocol for TAR files

closed

MEMBER

While working in another PR, I discovered an xpass test (a test that is supposed to xfail but nevertheless passes) when testing `_get_extraction_protocol`: https://github.com/huggingface/datasets/runs/7818845285?check_suite_focus=true ``` XPASS tests/test_streaming_download_manager.py::test_streaming_dl_manager_get_extraction_protocol_throws[https://foo.bar/train.tar] ``` This PR: - refactors the test so that it tests the raise of the exceptions instead of xfailing - fixes the test for TAR files: it does not raise an exception, but returns "tar" - fixes some tests wrongly named: exchange `test_streaming_dl_manager_get_extraction_protocol` with `test_streaming_dl_manager_get_extraction_protocol_gg_drive`

https://api.github.com/repos/huggingface/datasets/issues/4850/timeline

https://api.github.com/repos/huggingface/datasets/issues/4849

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4849/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4849/comments

https://api.github.com/repos/huggingface/datasets/issues/4849/events

https://github.com/huggingface/datasets/pull/4849

PR_kwDODunzps49JN8d

1.18.x

closed

NONE

https://api.github.com/repos/huggingface/datasets/issues/4849/timeline

https://api.github.com/repos/huggingface/datasets/issues/4848

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4848/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4848/comments

https://api.github.com/repos/huggingface/datasets/issues/4848/events

https://github.com/huggingface/datasets/pull/4848

PR_kwDODunzps49JNj_

a

closed

NONE

https://api.github.com/repos/huggingface/datasets/issues/4848/timeline

https://api.github.com/repos/huggingface/datasets/issues/4847

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4847/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4847/comments

https://api.github.com/repos/huggingface/datasets/issues/4847/events

https://github.com/huggingface/datasets/pull/4847

PR_kwDODunzps49JNWX

Test win ci

closed

NONE

aa

https://api.github.com/repos/huggingface/datasets/issues/4847/timeline

https://api.github.com/repos/huggingface/datasets/issues/4846

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4846/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4846/comments

https://api.github.com/repos/huggingface/datasets/issues/4846/events

https://github.com/huggingface/datasets/pull/4846

PR_kwDODunzps49IYSC

Update documentation card of miam dataset

closed

CONTRIBUTOR

Hi ! Paper has been published at EMNLP.

https://api.github.com/repos/huggingface/datasets/issues/4846/timeline

https://api.github.com/repos/huggingface/datasets/issues/4845

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4845/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4845/comments

https://api.github.com/repos/huggingface/datasets/issues/4845/events

https://github.com/huggingface/datasets/pull/4845

PR_kwDODunzps49IOjf

Mark CI tests as xfail if Hub HTTP error

closed

MEMBER

In order to make testing more robust (and avoid merges to master with red tests), we could mark tests as xfailed (instead of failed) when the Hub raises some temporary HTTP errors. This PR: - marks tests as xfailed only if the Hub raises a 500 error for: - test_upstream_hub - makes pytest report the xfailed/xpassed tests. More tests could also be marked if needed. Examples of CI failures due to temporary Hub HTTP errors: - FAILED tests/test_upstream_hub.py::TestPushToHub::test_push_dataset_dict_to_hub_multiple_files - https://github.com/huggingface/datasets/runs/7806855399?check_suite_focus=true `requests.exceptions.HTTPError: 500 Server Error: Internal Server Error for url: https://hub-ci.huggingface.co/api/datasets/__DUMMY_TRANSFORMERS_USER__/test-16603108028233/commit/main (Request ID: aZeAQ5yLktoGHQYBcJ3zo)` - FAILED tests/test_upstream_hub.py::TestPushToHub::test_push_dataset_dict_to_hub_no_token - https://github.com/huggingface/datasets/runs/7840022996?check_suite_focus=true `requests.exceptions.HTTPError: 500 Server Error: Internal Server Error for url: https://s3.us-east-1.amazonaws.com/lfs-staging.huggingface.co/repos/81/e3/81e3b831fa9bf23190ec041f26ef7ff6d6b71c1a937b8ec1ef1f1f05b508c089/caae596caa179cf45e7c9ac0c6d9a9cb0fe2d305291bfbb2d8b648ae26ed38b6?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=AKIA4N7VTDGOZQA2IKWK%2F20220815%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20220815T144713Z&X-Amz-Expires=900&X-Amz-Signature=5ddddfe8ef2b0601e80ab41c78a4d77d921942b0d8160bcab40ff894095e6823&X-Amz-SignedHeaders=host&x-id=PutObject` - FAILED tests/test_upstream_hub.py::TestPushToHub::test_push_dataset_dict_to_hub_private - https://github.com/huggingface/datasets/runs/7835921082?check_suite_focus=true `requests.exceptions.HTTPError: 500 Server Error: Internal Server Error for url: https://hub-ci.huggingface.co/api/repos/create (Request ID: gL_1I7i2dii9leBhlZen-) - Internal Error - We're working hard to fix that as soon as possible!` - FAILED tests/test_upstream_hub.py::TestPushToHub::test_push_dataset_to_hub_custom_features_image_list - https://github.com/huggingface/datasets/runs/7835920900?check_suite_focus=true - This is not 500, but 404: `requests.exceptions.HTTPError: 404 Client Error: Not Found for url: [https://hub-ci.huggingface.co/datasets/__DUMMY_TRANSFORMERS_USER__/test-16605586458339.git/info/lfs/objects](https://hub-ci.huggingface.co/datasets/__DUMMY_TRANSFORMERS_USER__/test-16605586458339.git/info/lfs/objects/batch)`

https://api.github.com/repos/huggingface/datasets/issues/4845/timeline

https://api.github.com/repos/huggingface/datasets/issues/4844

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4844/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4844/comments

https://api.github.com/repos/huggingface/datasets/issues/4844/events

https://github.com/huggingface/datasets/pull/4844

PR_kwDODunzps49IFLa

Add 'val' to VALIDATION_KEYWORDS.

closed

CONTRIBUTOR

This PR fixes #4839 by adding the word `"val"` to the `VALIDATION_KEYWORDS` so that the `load_dataset()` method with `imagefolder` (and probably, some other directives as well) reads folders named `"val"` as well. I think the supported keywords have to be mentioned in the documentation as well, but I couldn't think of a proper place to add that.

https://api.github.com/repos/huggingface/datasets/issues/4844/timeline

https://api.github.com/repos/huggingface/datasets/issues/4843

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4843/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4843/comments

https://api.github.com/repos/huggingface/datasets/issues/4843/events

https://github.com/huggingface/datasets/pull/4843

PR_kwDODunzps49HaWT

Fix typo in streaming docs

closed

CONTRIBUTOR

https://api.github.com/repos/huggingface/datasets/issues/4843/timeline

https://api.github.com/repos/huggingface/datasets/issues/4842

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4842/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4842/comments

https://api.github.com/repos/huggingface/datasets/issues/4842/events

https://github.com/huggingface/datasets/pull/4842

PR_kwDODunzps49G8CC

Update stackexchange license

closed

CONTRIBUTOR

The correct license of the stackexchange subset of the Pile is `cc-by-sa-4.0`, as can for example be seen here: https://stackoverflow.com/help/licensing

https://api.github.com/repos/huggingface/datasets/issues/4842/timeline

https://api.github.com/repos/huggingface/datasets/issues/4841

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4841/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4841/comments

https://api.github.com/repos/huggingface/datasets/issues/4841/events

https://github.com/huggingface/datasets/pull/4841

PR_kwDODunzps49Gf0I

Update ted_talks_iwslt license to include ND

closed

CONTRIBUTOR

Excerpt from the paper's abstract: "Aside from its cultural and social relevance, this content, which is published under the Creative Commons BY-NC-ND license, also represents a precious language resource for the machine translation research community"

https://api.github.com/repos/huggingface/datasets/issues/4841/timeline

https://api.github.com/repos/huggingface/datasets/issues/4840

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4840/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4840/comments

https://api.github.com/repos/huggingface/datasets/issues/4840/events

https://github.com/huggingface/datasets/issues/4840

I_kwDODunzps5PtjrQ

Dataset Viewer issue for darragh/demo_data_raw3

open

CONTRIBUTOR

### Link https://huggingface.co/datasets/darragh/demo_data_raw3 ### Description ``` Exception: ValueError Message: Arrow type extension<arrow.py_extension_type<pyarrow.lib.UnknownExtensionType>> does not have a datasets dtype equivalent. ``` reported by @NielsRogge ### Owner No

https://api.github.com/repos/huggingface/datasets/issues/4840/timeline

https://api.github.com/repos/huggingface/datasets/issues/4839

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4839/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4839/comments

https://api.github.com/repos/huggingface/datasets/issues/4839/events

https://github.com/huggingface/datasets/issues/4839

I_kwDODunzps5PtCZp

ImageFolder dataset builder does not read the validation data set if it is named as "val"

closed

CONTRIBUTOR

**Is your feature request related to a problem? Please describe.** Currently, the `'imagefolder'` data set builder in [`load_dataset()`](https://github.com/huggingface/datasets/blob/2.4.0/src/datasets/load.py#L1541] ) only [supports](https://github.com/huggingface/datasets/blob/6c609a322da994de149b2c938f19439bca99408e/src/datasets/data_files.py#L31) the following names as the validation data set directory name: `["validation", "valid", "dev"]`. When the validation directory is named as `'val'`, the Data set will not have a validation split. I expected this to be a trivial task but ended up spending a lot of time before knowing that only the above names are supported. Here's a minimal example of `val` not being recognized: ```python import os import numpy as np import cv2 from datasets import load_dataset # creating a dummy data set with the following structure: # ROOT # | -- train # | ---- class_1 # | ---- class_2 # | -- val # | ---- class_1 # | ---- class_2 ROOT = "data" for which in ["train", "val"]: for class_name in ["class_1", "class_2"]: dir_name = os.path.join(ROOT, which, class_name) if not os.path.exists(dir_name): os.makedirs(dir_name) for i in range(10): cv2.imwrite( os.path.join(dir_name, f"{i}.png"), np.random.random((224, 224)) ) # trying to create a data set dataset = load_dataset( "imagefolder", data_dir=ROOT ) >> dataset DatasetDict({ train: Dataset({ features: ['image', 'label'], num_rows: 20 }) }) # ^ note how the dataset only has a 'train' subset ``` **Describe the solution you'd like** The suggestion is to include `"val"` to [that list ](https://github.com/huggingface/datasets/blob/6c609a322da994de149b2c938f19439bca99408e/src/datasets/data_files.py#L31) as that's a commonly used phrase to name the validation directory. Also, In the documentation, explicitly mention that only such directory names are supported as train/val/test directories to avoid confusion. **Describe alternatives you've considered** In the documentation, explicitly mention that only such directory names are supported as train/val/test directories without adding `val` to the above list. **Additional context** A question asked in the forum: [ Loading an imagenet-style image dataset with train/val directories](https://discuss.huggingface.co/t/loading-an-imagenet-style-image-dataset-with-train-val-directories/21554)

https://api.github.com/repos/huggingface/datasets/issues/4839/timeline

completed

https://api.github.com/repos/huggingface/datasets/issues/4838

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4838/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4838/comments

https://api.github.com/repos/huggingface/datasets/issues/4838/events

https://github.com/huggingface/datasets/pull/4838

PR_kwDODunzps49F08R

Fix documentation card of adv_glue dataset

closed

MEMBER

Fix documentation card of adv_glue dataset.

https://api.github.com/repos/huggingface/datasets/issues/4838/timeline

https://api.github.com/repos/huggingface/datasets/issues/4837

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4837/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4837/comments

https://api.github.com/repos/huggingface/datasets/issues/4837/events

https://github.com/huggingface/datasets/pull/4837

PR_kwDODunzps49Fb6l

Add support for CSV metadata files to ImageFolder

closed

CONTRIBUTOR

Fix #4814

https://api.github.com/repos/huggingface/datasets/issues/4837/timeline

https://api.github.com/repos/huggingface/datasets/issues/4836

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4836/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4836/comments

https://api.github.com/repos/huggingface/datasets/issues/4836/events

https://github.com/huggingface/datasets/issues/4836

I_kwDODunzps5Psghw

Is it possible to pass multiple links to a split in load script?

open

NONE

**Is your feature request related to a problem? Please describe.** I wanted to use a python loading script in hugging face datasets that use different sources of text (it's somehow a compilation of multiple datasets + my own dataset) based on how `load_dataset` [works](https://huggingface.co/docs/datasets/loading) I assumed I could do something like bellow in my loading script: ```python ... _URL = "MY_DATASET_URL/resolve/main/data/" _URLS = { "train": [ "FIRST_URL_TO.txt", _URL + "train-00000-of-00001-676bfebbc8742592.parquet" ] } ... ``` but when loading the dataset it raises the following error: ```python File ~/.local/lib/python3.8/site-packages/datasets/builder.py:704, in DatasetBuilder.download_and_prepare(self, download_config, download_mode, ignore_verifications, try_from_hf_gcs, dl_manager, base_path, use_auth_token, **download_and_prepare_kwargs) 702 logger.warning("HF google storage unreachable. Downloading and preparing it from source") 703 if not downloaded_from_gcs: --> 704 self._download_and_prepare( 705 dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs ... 668 if isinstance(a, str): 669 # Force-cast str subclasses to str (issue #21127) 670 parts.append(str(a)) TypeError: expected str, bytes or os.PathLike object, not list ``` **Describe the solution you'd like** I believe since it's possible for `load_dataset` to get list of URLs instead of just a URL for `train` split it can be possible here too. **Describe alternatives you've considered** An alternative solution would be to download all needed datasets locally and `push_to_hub` them all, but since the datasets I'm talking about are huge it's not among my options. **Additional context** I think loading `text` beside the `parquet` is completely a different issue but I believe I can figure it out by proposing a config for my dataset to load each entry of `_URLS['train']` separately either by `load_dataset("text", ...` or `load_dataset("parquet", ...`.

https://api.github.com/repos/huggingface/datasets/issues/4836/timeline

https://api.github.com/repos/huggingface/datasets/issues/4835

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4835/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4835/comments

https://api.github.com/repos/huggingface/datasets/issues/4835/events

https://github.com/huggingface/datasets/pull/4835

PR_kwDODunzps49FJg9

Fix documentation card of ethos dataset

closed

MEMBER

Fix documentation card of ethos dataset.

https://api.github.com/repos/huggingface/datasets/issues/4835/timeline

https://api.github.com/repos/huggingface/datasets/issues/4834

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4834/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4834/comments

https://api.github.com/repos/huggingface/datasets/issues/4834/events

https://github.com/huggingface/datasets/pull/4834

PR_kwDODunzps49FJOu

Fix documentation card of recipe_nlg dataset

closed

MEMBER

Fix documentation card of recipe_nlg dataset

https://api.github.com/repos/huggingface/datasets/issues/4834/timeline

https://api.github.com/repos/huggingface/datasets/issues/4833

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4833/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4833/comments

https://api.github.com/repos/huggingface/datasets/issues/4833/events

https://github.com/huggingface/datasets/pull/4833

PR_kwDODunzps49E_Nk

Fix missing tags in dataset cards

closed

MEMBER

Fix missing tags in dataset cards: - boolq - break_data - definite_pronoun_resolution - emo - kor_nli - pg19 - quartz - sciq - squad_es - wmt14 - wmt15 - wmt16 - wmt17 - wmt18 - wmt19 - wmt_t2t This PR partially fixes the missing tags in dataset cards. Subsequent PRs will follow to complete this task.

https://api.github.com/repos/huggingface/datasets/issues/4833/timeline

https://api.github.com/repos/huggingface/datasets/issues/4832

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4832/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4832/comments

https://api.github.com/repos/huggingface/datasets/issues/4832/events

https://github.com/huggingface/datasets/pull/4832

PR_kwDODunzps49EQav

Fix tags in dataset cards

closed

MEMBER

Fix wrong tags in dataset cards.

https://api.github.com/repos/huggingface/datasets/issues/4832/timeline

https://api.github.com/repos/huggingface/datasets/issues/4831

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4831/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4831/comments

https://api.github.com/repos/huggingface/datasets/issues/4831/events

https://github.com/huggingface/datasets/pull/4831

PR_kwDODunzps49Cibf

Add oversampling strategies to interleave datasets

closed

CONTRIBUTOR

Hello everyone, Here is a proposal to improve `interleave_datasets` function. Following Issue #3064, and @lhoestq [comment](https://github.com/huggingface/datasets/issues/3064#issuecomment-1022333385), I propose here a code that performs oversampling when interleaving a `Dataset` list. I have myself encountered this problem while trying to implement training on a multilingual dataset following a training strategy similar to that of [XLSUM paper](https://arxiv.org/pdf/2106.13822.pdf), a multilingual abstract summary dataset where the multilingual training dataset is created by sampling from the languages following a smoothing strategy. The main idea is to sample languages that have a low number of samples more frequently than other languages. As in Issue #3064, the current default strategy is a undersampling strategy, which stops as soon as a dataset runs out of samples. The new `all_exhausted` strategy stops building the new dataset as soon as all samples in each dataset have been added at least once. How does it work in practice: - if ``probabilities`` is `None` and the strategy is `all_exhausted`, it simply performs a round robin interleaving that stops when the longest dataset is out of samples. Here the new dataset length will be $maxLengthDataset*nbDataset$. - if ``probabilities`` is not `None` and the strategy is `all_exhausted`, it keeps trace of the datasets which were out of samples but continues to add them to the new dataset, and stops as soons as every dataset runs out of samples at least once. - In the other cases, it is supposed to keep the same behaviour as before. Except that this time, when probabilities are precised, it really stops AS SOON AS a dataset is out of samples. More on the last sentence: The previous example of `interleave_datasets` was: >>> from datasets import Dataset, interleave_datasets >>> d1 = Dataset.from_dict({"a": [0, 1, 2]}) >>> d2 = Dataset.from_dict({"a": [10, 11, 12]}) >>> d3 = Dataset.from_dict({"a": [20, 21, 22]}) >>> dataset = interleave_datasets([d1, d2, d3]) >>> dataset["a"] [0, 10, 20, 1, 11, 21, 2, 12, 22] >>> dataset = interleave_datasets([d1, d2, d3], probabilities=[0.7, 0.2, 0.1], seed=42) >>> dataset["a"] [10, 0, 11, 1, 2, 20, 12] With my implementation, `dataset = interleave_datasets([d1, d2, d3], probabilities=[0.7, 0.2, 0.1], seed=42)` gives: >>> dataset["a"] [10, 0, 11, 1, 2] because `d1` is already out of samples just after `2` is added. Example of the results of applying the different strategies: >>> from datasets import Dataset, interleave_datasets >>> d1 = Dataset.from_dict({"a": [0, 1, 2]}) >>> d2 = Dataset.from_dict({"a": [10, 11, 12]}) >>> d3 = Dataset.from_dict({"a": [20, 21, 22]}) >>> dataset = interleave_datasets([d1, d2, d3], probabilities=[0.7, 0.2, 0.1], seed=42, stopping_strategy="all_exhausted") >>> dataset["a"] [10, 0, 11, 1, 2, 20, 12, 10, 0, 1, 2, 21, 0, 11, 1, 2, 0, 1, 12, 2, 10, 0, 22] >>> dataset = interleave_datasets([d1, d2, d3], probabilities=[0.7, 0.2, 0.1], seed=42) >>> dataset["a"] [10, 0, 11, 1, 2] >>> dataset = interleave_datasets([d1, d2, d3]) >>> dataset["a"] [0, 10, 20, 1, 11, 21, 2, 12, 22] >>> dataset = interleave_datasets([d1, d2, d3], stopping_strategy="all_exhausted") >>> dataset["a"] [0, 10, 20, 1, 11, 21, 2, 12, 22] >>> d1 = Dataset.from_dict({"a": [0, 1, 2]}) >>> d2 = Dataset.from_dict({"a": [10, 11, 12, 13]}) >>> d3 = Dataset.from_dict({"a": [20, 21, 22, 23, 24]}) >>> dataset = interleave_datasets([d1, d2, d3]) >>> dataset["a"] [0, 10, 20, 1, 11, 21, 2, 12, 22] >>> dataset = interleave_datasets([d1, d2, d3], stopping_strategy="all_exhausted") >>> dataset["a"] [0, 10, 20, 1, 11, 21, 2, 12, 22, 0, 13, 23, 1, 0, 24] >>> dataset = interleave_datasets([d1, d2, d3], probabilities=[0.7, 0.2, 0.1], seed=42) >>> dataset["a"] [10, 0, 11, 1, 2] >>> dataset = interleave_datasets([d1, d2, d3], probabilities=[0.7, 0.2, 0.1], seed=42, stopping_strategy="all_exhausted") >>> dataset["a"] [10, 0, 11, 1, 2, 20, 12, 13, ..., 0, 1, 2, 0, 24] **Final note:** I've been using that code for a research project involving a large-scale multilingual dataset. One should be careful when using oversampling to avoid to avoid exploding the size of the dataset. For example, if a very large data set has a low probability of being sampled, the final dataset may be several times the size of that large data set.

https://api.github.com/repos/huggingface/datasets/issues/4831/timeline

https://api.github.com/repos/huggingface/datasets/issues/4830

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4830/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4830/comments

https://api.github.com/repos/huggingface/datasets/issues/4830/events

https://github.com/huggingface/datasets/pull/4830

PR_kwDODunzps49Cdro

Fix task tags in dataset cards

closed

MEMBER

https://api.github.com/repos/huggingface/datasets/issues/4830/timeline

https://api.github.com/repos/huggingface/datasets/issues/4829

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4829/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4829/comments

https://api.github.com/repos/huggingface/datasets/issues/4829/events

https://github.com/huggingface/datasets/issues/4829

I_kwDODunzps5Posfk

Misalignment between card tag validation and docs

open

MEMBER

## Describe the bug As pointed out in other issue: https://github.com/huggingface/datasets/pull/4827#discussion_r943536284 the validation of the dataset card tags is not aligned with its documentation: e.g. - implementation: `license: List[str]` - docs: `license: Union[str, List[str]]` They should be aligned. CC: @julien-c

https://api.github.com/repos/huggingface/datasets/issues/4829/timeline

https://api.github.com/repos/huggingface/datasets/issues/4828

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4828/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4828/comments

https://api.github.com/repos/huggingface/datasets/issues/4828/events

https://github.com/huggingface/datasets/pull/4828

PR_kwDODunzps49B_vb

Support PIL Image objects in `add_item`/`add_column`

open

CONTRIBUTOR

Fix #4796 PS: We should also improve the type inference in `OptimizedTypeSequence` to make it possible to also infer the complex types (only `Image` currently) in nested arrays (e.g. `[[pil_image], [pil_image, pil_image]]` or `[{"img": pil_image}`]), but I plan to address this in a separate PR.

https://api.github.com/repos/huggingface/datasets/issues/4828/timeline

https://api.github.com/repos/huggingface/datasets/issues/4827

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4827/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4827/comments

https://api.github.com/repos/huggingface/datasets/issues/4827/events

https://github.com/huggingface/datasets/pull/4827

PR_kwDODunzps49B1zi

Add license metadata to pg19

closed

MEMBER

As reported over email by Roy Rijkers

https://api.github.com/repos/huggingface/datasets/issues/4827/timeline

https://api.github.com/repos/huggingface/datasets/issues/4826

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4826/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4826/comments

https://api.github.com/repos/huggingface/datasets/issues/4826/events

https://github.com/huggingface/datasets/pull/4826

PR_kwDODunzps49B0V3

Fix language tags in dataset cards

closed

MEMBER

Fix language tags in all dataset cards, so that they are validated (aligned with our `languages.json` resource).

https://api.github.com/repos/huggingface/datasets/issues/4826/timeline

https://api.github.com/repos/huggingface/datasets/issues/4825

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4825/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4825/comments

https://api.github.com/repos/huggingface/datasets/issues/4825/events

https://github.com/huggingface/datasets/pull/4825

PR_kwDODunzps49BYWL

[Windows] Fix Access Denied when using os.rename()

closed

CONTRIBUTOR

In this PR, we are including an additional step when `os.rename()` raises a PermissionError. Basically, we will use `shutil.move()` on the temp files. Fix #2937

https://api.github.com/repos/huggingface/datasets/issues/4825/timeline

https://api.github.com/repos/huggingface/datasets/issues/4824

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4824/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4824/comments

https://api.github.com/repos/huggingface/datasets/issues/4824/events

https://github.com/huggingface/datasets/pull/4824

PR_kwDODunzps49BR5H

Fix titles in dataset cards

closed

MEMBER

Fix all the titles in the dataset cards, so that they conform to the required format.

https://api.github.com/repos/huggingface/datasets/issues/4824/timeline

https://api.github.com/repos/huggingface/datasets/issues/4823

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4823/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4823/comments

https://api.github.com/repos/huggingface/datasets/issues/4823/events

https://github.com/huggingface/datasets/pull/4823

PR_kwDODunzps49A0O_

Update data URL in mkqa dataset

closed

MEMBER

Update data URL in mkqa dataset. Fix #4817.

https://api.github.com/repos/huggingface/datasets/issues/4823/timeline

https://api.github.com/repos/huggingface/datasets/issues/4822

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4822/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4822/comments

https://api.github.com/repos/huggingface/datasets/issues/4822/events

https://github.com/huggingface/datasets/issues/4822

I_kwDODunzps5PnMnY

Moving dataset between namespaces breaks dataset viewer

open

CONTRIBUTOR

## Describe the bug I moved a dataset from my own namespace to an org and that broke the dataset viewer. To fix it I had to manually edit the `dataset_info.json` file and change the first key in the json from `username--datasetname` to `orgname--datasetname` ## Steps to reproduce the bug What I did was: 1- Upload a dataset to my own namespace using `push_to_hub` 2- Move the dataset from my namespace to an org using the web interface. ## Expected results For the file to be changed accordingly. ## Actual results Broken dataset viewer. ## Environment info - `datasets` version: 2.3.3.dev0 - Platform: Linux-4.15.0-189-generic-x86_64-with-Ubuntu-18.04-bionic - Python version: 3.7.5 - PyArrow version: 7.0.0 - Pandas version: 1.3.5

https://api.github.com/repos/huggingface/datasets/issues/4822/timeline

https://api.github.com/repos/huggingface/datasets/issues/4821

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4821/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4821/comments

https://api.github.com/repos/huggingface/datasets/issues/4821/events

https://github.com/huggingface/datasets/pull/4821

PR_kwDODunzps49AvaE

Fix train_test_split docs

closed

CONTRIBUTOR

I saw that `stratify` is added to the `train_test_split` method as per #4322, hence the docs can be updated.

https://api.github.com/repos/huggingface/datasets/issues/4821/timeline

https://api.github.com/repos/huggingface/datasets/issues/4820

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4820/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4820/comments

https://api.github.com/repos/huggingface/datasets/issues/4820/events

https://github.com/huggingface/datasets/issues/4820

I_kwDODunzps5PlEVM

Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.

closed

NONE

Hi, when i try to run prepare_dataset function in [fine tuning ASR tutorial 4](https://colab.research.google.com/github/patrickvonplaten/notebooks/blob/master/Fine_tuning_Wav2Vec2_for_English_ASR.ipynb) , i got this error. I got this error Terminating: fork() called from a process already using GNU OpenMP, this is unsafe. There is no other logs available, so i have no clue what is the cause of it. ``` def prepare_dataset(batch): audio = batch["path"] # batched output is "un-batched" batch["input_values"] = processor(audio["array"], sampling_rate=audio["sampling_rate"]).input_values[0] batch["input_length"] = len(batch["input_values"]) with processor.as_target_processor(): batch["labels"] = processor(batch["text"]).input_ids return batch data = data.map(prepare_dataset, remove_columns=data.column_names["train"], num_proc=4) ``` Specify the actual results or traceback. There is no traceback except `Terminating: fork() called from a process already using GNU OpenMP, this is unsafe.` ## Environment info <!-- You can run the command `datasets-cli env` and copy-and-paste its output below. --> - `datasets` version: 2.4.0 - Platform: Linux-5.15.0-43-generic-x86_64-with-glibc2.29 - Python version: 3.8.10 - PyArrow version: 9.0.0 - Pandas version: 1.4.3

https://api.github.com/repos/huggingface/datasets/issues/4820/timeline

completed

https://api.github.com/repos/huggingface/datasets/issues/4819

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4819/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4819/comments

https://api.github.com/repos/huggingface/datasets/issues/4819/events

https://github.com/huggingface/datasets/pull/4819

PR_kwDODunzps48-xc6

Add missing language tags to resources

closed

MEMBER

Add missing language tags to resources, required by existing datasets on GitHub.

https://api.github.com/repos/huggingface/datasets/issues/4819/timeline

https://api.github.com/repos/huggingface/datasets/issues/4818

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4818/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4818/comments

https://api.github.com/repos/huggingface/datasets/issues/4818/events

https://github.com/huggingface/datasets/pull/4818

PR_kwDODunzps48-W7a

Add add cc-by-sa-2.5 license tag

closed

CONTRIBUTOR

- [ ] add it to moon-landing - [ ] add it to hub-docs

https://api.github.com/repos/huggingface/datasets/issues/4818/timeline

https://api.github.com/repos/huggingface/datasets/issues/4817

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4817/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4817/comments

https://api.github.com/repos/huggingface/datasets/issues/4817/events

https://github.com/huggingface/datasets/issues/4817

I_kwDODunzps5Pi_SD

Outdated Link for mkqa Dataset

closed

NONE

## Describe the bug The URL used to download the mkqa dataset is outdated. It seems the URL to download the dataset is currently https://github.com/apple/ml-mkqa/blob/main/dataset/mkqa.jsonl.gz instead of https://github.com/apple/ml-mkqa/raw/master/dataset/mkqa.jsonl.gz (master branch has been renamed to main). ## Steps to reproduce the bug ```python from datasets import load_dataset dataset = load_dataset("mkqa") ``` ## Expected results downloads the dataset ## Actual results ```python Downloading builder script: 4.79k/? [00:00<00:00, 201kB/s] Downloading metadata: 13.2k/? [00:00<00:00, 504kB/s] Downloading and preparing dataset mkqa/mkqa (download: 11.35 MiB, generated: 34.29 MiB, post-processed: Unknown size, total: 45.65 MiB) to /home/lhr/.cache/huggingface/datasets/mkqa/mkqa/1.0.0/5401489c674c81257cf563417aaaa5de2c7e26a1090ce9b10eb0404f10003d4d... Downloading data files: 0% 0/1 [00:00<?, ?it/s] --------------------------------------------------------------------------- FileNotFoundError Traceback (most recent call last) Input In [3], in <cell line: 3>() 1 from datasets import load_dataset ----> 3 dataset = load_dataset("mkqa") File ~/repos/punc-cap/venv/lib/python3.9/site-packages/datasets/load.py:1746, in load_dataset(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, ignore_verifications, keep_in_memory, save_infos, revision, use_auth_token, task, streaming, **config_kwargs) 1743 try_from_hf_gcs = path not in _PACKAGED_DATASETS_MODULES 1745 # Download and prepare data -> 1746 builder_instance.download_and_prepare( 1747 download_config=download_config, 1748 download_mode=download_mode, 1749 ignore_verifications=ignore_verifications, 1750 try_from_hf_gcs=try_from_hf_gcs, 1751 use_auth_token=use_auth_token, 1752 ) 1754 # Build dataset for splits 1755 keep_in_memory = ( 1756 keep_in_memory if keep_in_memory is not None else is_small_dataset(builder_instance.info.dataset_size) 1757 ) File ~/repos/punc-cap/venv/lib/python3.9/site-packages/datasets/builder.py:704, in DatasetBuilder.download_and_prepare(self, download_config, download_mode, ignore_verifications, try_from_hf_gcs, dl_manager, base_path, use_auth_token, **download_and_prepare_kwargs) 702 logger.warning("HF google storage unreachable. Downloading and preparing it from source") 703 if not downloaded_from_gcs: --> 704 self._download_and_prepare( 705 dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs 706 ) 707 # Sync info 708 self.info.dataset_size = sum(split.num_bytes for split in self.info.splits.values()) File ~/repos/punc-cap/venv/lib/python3.9/site-packages/datasets/builder.py:1227, in GeneratorBasedBuilder._download_and_prepare(self, dl_manager, verify_infos) 1226 def _download_and_prepare(self, dl_manager, verify_infos): -> 1227 super()._download_and_prepare(dl_manager, verify_infos, check_duplicate_keys=verify_infos) File ~/repos/punc-cap/venv/lib/python3.9/site-packages/datasets/builder.py:771, in DatasetBuilder._download_and_prepare(self, dl_manager, verify_infos, **prepare_split_kwargs) 769 split_dict = SplitDict(dataset_name=self.name) 770 split_generators_kwargs = self._make_split_generators_kwargs(prepare_split_kwargs) --> 771 split_generators = self._split_generators(dl_manager, **split_generators_kwargs) 773 # Checksums verification 774 if verify_infos and dl_manager.record_checksums: File ~/.cache/huggingface/modules/datasets_modules/datasets/mkqa/5401489c674c81257cf563417aaaa5de2c7e26a1090ce9b10eb0404f10003d4d/mkqa.py:130, in Mkqa._split_generators(self, dl_manager) 128 # download and extract URLs 129 urls_to_download = _URLS --> 130 downloaded_files = dl_manager.download_and_extract(urls_to_download) 132 return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]})] File ~/repos/punc-cap/venv/lib/python3.9/site-packages/datasets/download/download_manager.py:431, in DownloadManager.download_and_extract(self, url_or_urls) 415 def download_and_extract(self, url_or_urls): 416 """Download and extract given url_or_urls. 417 418 Is roughly equivalent to: (...) 429 extracted_path(s): `str`, extracted paths of given URL(s). 430 """ --> 431 return self.extract(self.download(url_or_urls)) File ~/repos/punc-cap/venv/lib/python3.9/site-packages/datasets/download/download_manager.py:309, in DownloadManager.download(self, url_or_urls) 306 download_func = partial(self._download, download_config=download_config) 308 start_time = datetime.now() --> 309 downloaded_path_or_paths = map_nested( 310 download_func, 311 url_or_urls, 312 map_tuple=True, 313 num_proc=download_config.num_proc, 314 disable_tqdm=not is_progress_bar_enabled(), 315 desc="Downloading data files", 316 ) 317 duration = datetime.now() - start_time 318 logger.info(f"Downloading took {duration.total_seconds() // 60} min") File ~/repos/punc-cap/venv/lib/python3.9/site-packages/datasets/utils/py_utils.py:393, in map_nested(function, data_struct, dict_only, map_list, map_tuple, map_numpy, num_proc, types, disable_tqdm, desc) 391 num_proc = 1 392 if num_proc <= 1 or len(iterable) <= num_proc: --> 393 mapped = [ 394 _single_map_nested((function, obj, types, None, True, None)) 395 for obj in logging.tqdm(iterable, disable=disable_tqdm, desc=desc) 396 ] 397 else: 398 split_kwds = [] # We organize the splits ourselve (contiguous splits) File ~/repos/punc-cap/venv/lib/python3.9/site-packages/datasets/utils/py_utils.py:394, in <listcomp>(.0) 391 num_proc = 1 392 if num_proc <= 1 or len(iterable) <= num_proc: 393 mapped = [ --> 394 _single_map_nested((function, obj, types, None, True, None)) 395 for obj in logging.tqdm(iterable, disable=disable_tqdm, desc=desc) 396 ] 397 else: 398 split_kwds = [] # We organize the splits ourselve (contiguous splits) File ~/repos/punc-cap/venv/lib/python3.9/site-packages/datasets/utils/py_utils.py:330, in _single_map_nested(args) 328 # Singleton first to spare some computation 329 if not isinstance(data_struct, dict) and not isinstance(data_struct, types): --> 330 return function(data_struct) 332 # Reduce logging to keep things readable in multiprocessing with tqdm 333 if rank is not None and logging.get_verbosity() < logging.WARNING: File ~/repos/punc-cap/venv/lib/python3.9/site-packages/datasets/download/download_manager.py:335, in DownloadManager._download(self, url_or_filename, download_config) 332 if is_relative_path(url_or_filename): 333 # append the relative path to the base_path 334 url_or_filename = url_or_path_join(self._base_path, url_or_filename) --> 335 return cached_path(url_or_filename, download_config=download_config) File ~/repos/punc-cap/venv/lib/python3.9/site-packages/datasets/utils/file_utils.py:185, in cached_path(url_or_filename, download_config, **download_kwargs) 181 url_or_filename = str(url_or_filename) 183 if is_remote_url(url_or_filename): 184 # URL, so get it from the cache (downloading if necessary) --> 185 output_path = get_from_cache( 186 url_or_filename, 187 cache_dir=cache_dir, 188 force_download=download_config.force_download, 189 proxies=download_config.proxies, 190 resume_download=download_config.resume_download, 191 user_agent=download_config.user_agent, 192 local_files_only=download_config.local_files_only, 193 use_etag=download_config.use_etag, 194 max_retries=download_config.max_retries, 195 use_auth_token=download_config.use_auth_token, 196 ignore_url_params=download_config.ignore_url_params, 197 download_desc=download_config.download_desc, 198 ) 199 elif os.path.exists(url_or_filename): 200 # File, and it exists. 201 output_path = url_or_filename File ~/repos/punc-cap/venv/lib/python3.9/site-packages/datasets/utils/file_utils.py:530, in get_from_cache(url, cache_dir, force_download, proxies, etag_timeout, resume_download, user_agent, local_files_only, use_etag, max_retries, use_auth_token, ignore_url_params, download_desc) 525 raise FileNotFoundError( 526 f"Cannot find the requested files in the cached path at {cache_path} and outgoing traffic has been" 527 " disabled. To enable file online look-ups, set 'local_files_only' to False." 528 ) 529 elif response is not None and response.status_code == 404: --> 530 raise FileNotFoundError(f"Couldn't find file at {url}") 531 _raise_if_offline_mode_is_enabled(f"Tried to reach {url}") 532 if head_error is not None: FileNotFoundError: Couldn't find file at https://github.com/apple/ml-mkqa/raw/master/dataset/mkqa.jsonl.gz ``` ## Environment info - `datasets` version: 2.4.0 - Platform: Linux-5.13.0-40-generic-x86_64-with-glibc2.31 - Python version: 3.9.7 - PyArrow version: 9.0.0 - Pandas version: 1.4.2

https://api.github.com/repos/huggingface/datasets/issues/4817/timeline

completed

https://api.github.com/repos/huggingface/datasets/issues/4816

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4816/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4816/comments

https://api.github.com/repos/huggingface/datasets/issues/4816/events

https://github.com/huggingface/datasets/pull/4816

PR_kwDODunzps487kpq

Update version of opus_paracrawl dataset

closed

MEMBER

This PR updates OPUS ParaCrawl from 7.1 to 9 version. Fix #4815.

https://api.github.com/repos/huggingface/datasets/issues/4816/timeline

https://api.github.com/repos/huggingface/datasets/issues/4815

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4815/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4815/comments

https://api.github.com/repos/huggingface/datasets/issues/4815/events

https://github.com/huggingface/datasets/issues/4815

I_kwDODunzps5PhGtf

Outdated loading script for OPUS ParaCrawl dataset

closed

MEMBER

## Describe the bug Our loading script for OPUS ParaCrawl loads its 7.1 version. Current existing version is 9.

https://api.github.com/repos/huggingface/datasets/issues/4815/timeline

completed

https://api.github.com/repos/huggingface/datasets/issues/4814

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4814/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4814/comments

https://api.github.com/repos/huggingface/datasets/issues/4814/events

https://github.com/huggingface/datasets/issues/4814

I_kwDODunzps5PeWbG

Support CSV as metadata file format in AudioFolder/ImageFolder

closed

CONTRIBUTOR

Requested here: https://discuss.huggingface.co/t/how-to-structure-an-image-dataset-repo-using-the-image-folder-approach/21004. CSV is also used in AutoTrain for specifying metadata in image datasets.

https://api.github.com/repos/huggingface/datasets/issues/4814/timeline

completed

https://api.github.com/repos/huggingface/datasets/issues/4813

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4813/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4813/comments

https://api.github.com/repos/huggingface/datasets/issues/4813/events

https://github.com/huggingface/datasets/pull/4813

PR_kwDODunzps48446r

Fix loading example in opus dataset cards

closed

MEMBER

This PR: - fixes the examples to load the datasets, with the corrected dataset name, in their dataset cards for: - opus_dgt - opus_paracrawl - opus_wikipedia - fixes their dataset cards with the missing required information: title, data instances/fields/splits - enumerates the supported languages - adds a missing citation reference for opus_wikipedia Related to: - #4806

https://api.github.com/repos/huggingface/datasets/issues/4813/timeline

https://api.github.com/repos/huggingface/datasets/issues/4812

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4812/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4812/comments

https://api.github.com/repos/huggingface/datasets/issues/4812/events

https://github.com/huggingface/datasets/pull/4812

PR_kwDODunzps484Fzq

Fix bug in function validate_type for Python >= 3.9

closed

MEMBER

Fix `validate_type` function, so that it uses `get_origin` instead. This makes the function forward compatible. This fixes #4811 because: ```python In [4]: typing.Optional[str] Out[4]: typing.Optional[str] In [5]: get_origin(typing.Optional[str]) Out[5]: typing.Union ``` Fix #4811.

https://api.github.com/repos/huggingface/datasets/issues/4812/timeline

https://api.github.com/repos/huggingface/datasets/issues/4811

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4811/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4811/comments

https://api.github.com/repos/huggingface/datasets/issues/4811/events

https://github.com/huggingface/datasets/issues/4811

I_kwDODunzps5PdKDd

Bug in function validate_type for Python >= 3.9

closed

MEMBER

## Describe the bug The function `validate_type` assumes that the type `typing.Optional[str]` is automatically transformed to `typing.Union[str, NoneType]`. ```python In [4]: typing.Optional[str] Out[4]: typing.Union[str, NoneType] ``` However, this is not the case for Python 3.9: ```python In [3]: typing.Optional[str] Out[3]: typing.Optional[str] ```

https://api.github.com/repos/huggingface/datasets/issues/4811/timeline

completed

https://api.github.com/repos/huggingface/datasets/issues/4810

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4810/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4810/comments

https://api.github.com/repos/huggingface/datasets/issues/4810/events

https://github.com/huggingface/datasets/pull/4810

PR_kwDODunzps484C9l

Add description to hellaswag dataset

closed

MEMBER

https://api.github.com/repos/huggingface/datasets/issues/4810/timeline

https://api.github.com/repos/huggingface/datasets/issues/4809

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4809/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4809/comments

https://api.github.com/repos/huggingface/datasets/issues/4809/events

https://github.com/huggingface/datasets/pull/4809

PR_kwDODunzps483Y4h

Complete the mlqa dataset card

closed

CONTRIBUTOR

I fixed the issue #4808 Details of PR: - Added languages included in the dataset. - Added task id and task category. - Updated the citation information. Fix #4808.

https://api.github.com/repos/huggingface/datasets/issues/4809/timeline

https://api.github.com/repos/huggingface/datasets/issues/4808

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4808/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4808/comments

https://api.github.com/repos/huggingface/datasets/issues/4808/events

https://github.com/huggingface/datasets/issues/4808

I_kwDODunzps5PcYcZ

Add more information to the dataset card of mlqa dataset

closed

CONTRIBUTOR

https://api.github.com/repos/huggingface/datasets/issues/4808/timeline

completed

https://api.github.com/repos/huggingface/datasets/issues/4807

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4807/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4807/comments

https://api.github.com/repos/huggingface/datasets/issues/4807/events

https://github.com/huggingface/datasets/pull/4807

PR_kwDODunzps483MSH

document fix in opus_gnome dataset

closed

CONTRIBUTOR

I fixed a issue #4805. I changed `"gnome"` to `"opus_gnome"` in[ README.md](https://github.com/huggingface/datasets/tree/main/datasets/opus_gnome#dataset-summary).

https://api.github.com/repos/huggingface/datasets/issues/4807/timeline

https://api.github.com/repos/huggingface/datasets/issues/4806

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4806/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4806/comments

https://api.github.com/repos/huggingface/datasets/issues/4806/events

https://github.com/huggingface/datasets/pull/4806

PR_kwDODunzps482yiS

Fix opus_gnome dataset card

closed

CONTRIBUTOR

I fixed a issue #4805. I changed `"gnome"` to `"opus_gnome"` in[ README.md](https://github.com/huggingface/datasets/tree/main/datasets/opus_gnome#dataset-summary). Fix #4805

https://api.github.com/repos/huggingface/datasets/issues/4806/timeline

https://api.github.com/repos/huggingface/datasets/issues/4805

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4805/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4805/comments

https://api.github.com/repos/huggingface/datasets/issues/4805/events

https://github.com/huggingface/datasets/issues/4805

I_kwDODunzps5Pbq3b

Wrong example in opus_gnome dataset card

closed

CONTRIBUTOR

## Describe the bug I found that [the example on opus_gone dataset ](https://github.com/huggingface/datasets/tree/main/datasets/opus_gnome#dataset-summary) doesn't work. ## Steps to reproduce the bug ```python load_dataset("gnome", lang1="it", lang2="pl") ``` `"gnome"` should be `"opus_gnome"` ## Expected results ```bash 100% 1/1 [00:00<00:00, 42.09it/s] DatasetDict({ train: Dataset({ features: ['id', 'translation'], num_rows: 8368 }) }) ``` ## Actual results ```bash Couldn't find 'gnome' on the Hugging Face Hub either: FileNotFoundError: Couldn't find file at https://raw.githubusercontent.com/huggingface/datasets/main/datasets/gnome/gnome.py ``` ## Environment info - `datasets` version: 2.4.0 - Platform: Linux-5.4.0-120-generic-x86_64-with-glibc2.27 - Python version: 3.9.13 - PyArrow version: 9.0.0 - Pandas version: 1.4.3

https://api.github.com/repos/huggingface/datasets/issues/4805/timeline

completed

https://api.github.com/repos/huggingface/datasets/issues/4804

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4804/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4804/comments

https://api.github.com/repos/huggingface/datasets/issues/4804/events

https://github.com/huggingface/datasets/issues/4804

I_kwDODunzps5PblNW

streaming dataset with concatenating splits raises an error

open

NONE

## Describe the bug streaming dataset with concatenating splits raises an error ## Steps to reproduce the bug ```python from datasets import load_dataset # no error repo = "nateraw/ade20k-tiny" dataset = load_dataset(repo, split="train+validation") ``` ```python from datasets import load_dataset # error repo = "nateraw/ade20k-tiny" dataset = load_dataset(repo, split="train+validation", streaming=True) ``` ```sh --------------------------------------------------------------------------- ValueError Traceback (most recent call last) [<ipython-input-4-a6ae02d63899>](https://localhost:8080/#) in <module>() 3 # error 4 repo = "nateraw/ade20k-tiny" ----> 5 dataset = load_dataset(repo, split="train+validation", streaming=True) 1 frames [/usr/local/lib/python3.7/dist-packages/datasets/builder.py](https://localhost:8080/#) in as_streaming_dataset(self, split, base_path) 1030 splits_generator = splits_generators[split] 1031 else: -> 1032 raise ValueError(f"Bad split: {split}. Available splits: {list(splits_generators)}") 1033 1034 # Create a dataset for each of the given splits ValueError: Bad split: train+validation. Available splits: ['validation', 'train'] ``` [Colab](https://colab.research.google.com/drive/1wMj08_0bym9jnGgByib4lsBPu8NCZBG9?usp=sharing) ## Expected results load successfully or throws an error saying it is not supported. ## Actual results above ## Environment info - `datasets` version: 2.4.0 - Platform: Windows-10-10.0.22000-SP0 (windows11 x64) - Python version: 3.9.13 - PyArrow version: 8.0.0 - Pandas version: 1.4.3

https://api.github.com/repos/huggingface/datasets/issues/4804/timeline

https://api.github.com/repos/huggingface/datasets/issues/4803

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4803/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4803/comments

https://api.github.com/repos/huggingface/datasets/issues/4803/events

https://github.com/huggingface/datasets/issues/4803

I_kwDODunzps5PZevK

Support `pipeline` argument in inspect.py functions

open

CONTRIBUTOR

**Is your feature request related to a problem? Please describe.** The `wikipedia` dataset requires a `pipeline` argument to build the list of splits: https://huggingface.co/datasets/wikipedia/blob/main/wikipedia.py#L937 But this is currently not supported in `get_dataset_config_info`: https://github.com/huggingface/datasets/blob/main/src/datasets/inspect.py#L373-L375 which is called by other functions, e.g. `get_dataset_split_names`. **Additional context** The dataset viewer is not working out-of-the-box on `wikipedia` for this reason: https://huggingface.co/datasets/wikipedia/viewer <img width="637" alt="Capture d’écran 2022-08-08 à 12 01 16" src="https://user-images.githubusercontent.com/1676121/183461838-5330783b-0269-4ba7-a999-314cde2023d8.png">

https://api.github.com/repos/huggingface/datasets/issues/4803/timeline

https://api.github.com/repos/huggingface/datasets/issues/4802

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4802/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4802/comments

https://api.github.com/repos/huggingface/datasets/issues/4802/events

https://github.com/huggingface/datasets/issues/4802

I_kwDODunzps5PX8YT

`with_format` behavior is inconsistent on different datasets

open

CONTRIBUTOR

## Describe the bug I found a case where `with_format` does not transform the dataset to the requested format. ## Steps to reproduce the bug Run: ```python from transformers import AutoTokenizer, AutoFeatureExtractor from datasets import load_dataset raw = load_dataset("glue", "sst2", split="train") raw = raw.select(range(100)) tokenizer = AutoTokenizer.from_pretrained("philschmid/tiny-bert-sst2-distilled") def preprocess_func(examples): return tokenizer(examples["sentence"], padding=True, max_length=256, truncation=True) data = raw.map(preprocess_func, batched=True) print(type(data[0]["input_ids"])) data = data.with_format("torch", columns=["input_ids"]) print(type(data[0]["input_ids"])) ``` printing as expected: ```python <class 'list'> <class 'torch.Tensor'> ``` Then run: ```python raw = load_dataset("beans", split="train") raw = raw.select(range(100)) preprocessor = AutoFeatureExtractor.from_pretrained("nateraw/vit-base-beans") def preprocess_func(examples): imgs = [img.convert("RGB") for img in examples["image"]] return preprocessor(imgs) data = raw.map(preprocess_func, batched=True) print(type(data[0]["pixel_values"])) data = data.with_format("torch", columns=["pixel_values"]) print(type(data[0]["pixel_values"])) ``` Printing, unexpectedly ```python <class 'list'> <class 'list'> ``` ## Expected results `with_format` should transform into the requested format; it's not the case. ## Actual results `type(data[0]["pixel_values"])` should be `torch.Tensor` in the example above ## Environment info <!-- You can run the command `datasets-cli env` and copy-and-paste its output below. --> - `datasets` version: dev version, commit 44af3fafb527302282f6b6507b952de7435f0979 - Platform: Linux - Python version: 3.9.12 - PyArrow version: 7.0.0

https://api.github.com/repos/huggingface/datasets/issues/4802/timeline

https://api.github.com/repos/huggingface/datasets/issues/4801

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4801/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4801/comments

https://api.github.com/repos/huggingface/datasets/issues/4801/events

https://github.com/huggingface/datasets/pull/4801

PR_kwDODunzps48yTYu

Fix fine classes in trec dataset

closed

MEMBER

This PR: - replaces the fine labels, so that there are 50 instead of 47 - once more labels are added, all they (fine and coarse) have been re-ordered, so that they align with the order in: https://cogcomp.seas.upenn.edu/Data/QA/QC/definition.html - the feature names have been fixed: `fine_label` instead of `label-fine` - to sneak-case (underscores instead of hyphens) - words have been reordered Fix #4790.

https://api.github.com/repos/huggingface/datasets/issues/4801/timeline

https://api.github.com/repos/huggingface/datasets/issues/4800

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4800/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4800/comments

https://api.github.com/repos/huggingface/datasets/issues/4800/events

https://github.com/huggingface/datasets/pull/4800

PR_kwDODunzps48yIss

support LargeListArray in pyarrow

open

CONTRIBUTOR

```python import numpy as np import datasets a = np.zeros((5000000, 768)) res = datasets.Dataset.from_dict({'embedding': a}) ''' File '/home/wenjiaxin/anaconda3/envs/data/lib/python3.8/site-packages/datasets/arrow_writer.py', line 178, in __arrow_array__ out = numpy_to_pyarrow_listarray(data) File "/home/wenjiaxin/anaconda3/envs/data/lib/python3.8/site-packages/datasets/features/features.py", line 1173, in numpy_to_pyarrow_listarray offsets = pa.array(np.arange(n_offsets + 1) * step_offsets, type=pa.int32()) File "pyarrow/array.pxi", line 312, in pyarrow.lib.array File "pyarrow/array.pxi", line 83, in pyarrow.lib._ndarray_to_array File "pyarrow/error.pxi", line 100, in pyarrow.lib.check_status pyarrow.lib.ArrowInvalid: Integer value 2147483904 not in range: -2147483648 to 2147483647 ''' ``` Loading a large numpy array currently raises the error above as the type of offsets is `int32`. And pyarrow has supported [LargeListArray](https://arrow.apache.org/docs/python/generated/pyarrow.LargeListArray.html) for this case.

https://api.github.com/repos/huggingface/datasets/issues/4800/timeline

https://api.github.com/repos/huggingface/datasets/issues/4799

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4799/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4799/comments

https://api.github.com/repos/huggingface/datasets/issues/4799/events

https://github.com/huggingface/datasets/issues/4799

I_kwDODunzps5PU8R-

video dataset loader/parser

closed

CONTRIBUTOR

you know how you can [use `load_dataset` with any arbitrary csv file](https://huggingface.co/docs/datasets/loading#csv)? and you can also [use it to load a local image dataset](https://huggingface.co/docs/datasets/image_load#local-files)? could you please add functionality to load a video dataset? it would be really cool if i could point it to a bunch of video files and use pytorch to start looping through batches of videos. like if my batch size is 16, each sample in the batch is a frame from a video. i'm competing in the [minerl challenge](https://www.aicrowd.com/challenges/neurips-2022-minerl-basalt-competition), and it would be awesome to use the HF ecosystem.

https://api.github.com/repos/huggingface/datasets/issues/4799/timeline

completed

https://api.github.com/repos/huggingface/datasets/issues/4798

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4798/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4798/comments

https://api.github.com/repos/huggingface/datasets/issues/4798/events

https://github.com/huggingface/datasets/pull/4798

PR_kwDODunzps48wVEG

Shard generator

closed

NONE

Hi everyone! I was using Hugging Face datasets to process some very large datasets and found that it would be quite handy to have a feature that will allow to "split" these large datasets into chunks with equal size. Even better - be able to run through these chunks one by one in simple and convenient way. So I decided to add the method called shard_generator() to the main Dataset class. It works similar to shard method but it returns a generator of datasets with equal size (defined by shard_size attribute). Example: ```python >>> from datasets import load_dataset >>> ds = load_dataset("rotten_tomatoes", split="validation") >>> ds Dataset({ features: ['text', 'label'], num_rows: 1066 }) >>> next(ds.shard_generator(300)) Dataset({ features: ['text', 'label'], num_rows: 300 }) ``` I hope it can be helpful to someone. Thanks!

https://api.github.com/repos/huggingface/datasets/issues/4798/timeline

https://api.github.com/repos/huggingface/datasets/issues/4797

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4797/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4797/comments

https://api.github.com/repos/huggingface/datasets/issues/4797/events

https://github.com/huggingface/datasets/pull/4797

PR_kwDODunzps48uL-t

Torgo dataset creation

closed

NONE

https://api.github.com/repos/huggingface/datasets/issues/4797/timeline

https://api.github.com/repos/huggingface/datasets/issues/4796

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4796/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4796/comments

https://api.github.com/repos/huggingface/datasets/issues/4796/events

https://github.com/huggingface/datasets/issues/4796

I_kwDODunzps5PRHpC

ArrowInvalid: Could not convert <PIL.Image.Image image mode=RGB when adding image to Dataset

open

CONTRIBUTOR

## Describe the bug When adding a Pillow image to an existing Dataset on the hub, `add_item` fails due to the Pillow image not being automatically converted into the Image feature. ## Steps to reproduce the bug ```python from datasets import load_dataset from PIL import Image dataset = load_dataset("hf-internal-testing/example-documents") # load any random Pillow image image = Image.open("/content/cord_example.png").convert("RGB") new_image = {'image': image} dataset['test'] = dataset['test'].add_item(new_image) ``` ## Expected results The image should be automatically casted to the Image feature when using `add_item`. For now, this can be fixed by using `encode_example`: ``` import datasets feature = datasets.Image(decode=False) new_image = {'image': feature.encode_example(image)} dataset['test'] = dataset['test'].add_item(new_image) ``` ## Actual results ``` ArrowInvalid: Could not convert <PIL.Image.Image image mode=RGB size=576x864 at 0x7F7CCC4589D0> with type Image: did not recognize Python value type when inferring an Arrow data type ```

https://api.github.com/repos/huggingface/datasets/issues/4796/timeline

https://api.github.com/repos/huggingface/datasets/issues/4795

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4795/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4795/comments

https://api.github.com/repos/huggingface/datasets/issues/4795/events

https://github.com/huggingface/datasets/issues/4795

I_kwDODunzps5PPvPk

Missing MBPP splits

closed

NONE

(@albertvillanova) The [MBPP dataset on the Hub](https://huggingface.co/datasets/mbpp) has only a test split for both its "full" and its "sanitized" subset, while the [paper](https://arxiv.org/abs/2108.07732) states in subsection 2.1 regarding the full split: > In the experiments described later in the paper, we hold out 10 problems for **few-shot prompting**, another 500 as our **test** dataset (which is used to evaluate both few-shot inference and fine-tuned models), 374 problems for **fine-tuning**, and the rest for **validation**. If the dataset on the Hub should reproduce most closely what the original authors use, I guess this four-way split should be reflected. The paper doesn't explicitly state the task_id ranges of the splits, but the [GitHub readme](https://github.com/google-research/google-research/tree/master/mbpp) referenced in the paper specifies exact task_id ranges, although it misstates the total number of samples: > We specify a train and test split to use for evaluation. Specifically: > > * Task IDs 11-510 are used for evaluation. > * Task IDs 1-10 and 511-1000 are used for training and/or prompting. We typically used 1-10 for few-shot prompting, although you can feel free to use any of the training examples. I.e. the few-shot, train and validation splits are combined into one split, with a soft suggestion of using the first ten for few-shot prompting. It is not explicitly stated whether the 374 fine-tuning samples mentioned in the paper have task_id 511 to 784 or 601 to 974 or are randomly sampled from task_id 511 to 974. Regarding the "sanitized" split the paper states the following: > For evaluations involving the edited dataset, we perform comparisons with 100 problems that appear in both the original and edited dataset, using the same held out 10 problems for few-shot prompting and 374 problems for fine-tuning. The statement doesn't appear to be very precise, as among the 10 few-shot problems, those with task_id 1, 5 and 10 are not even part of the sanitized variant, and many from the task_id range from 511 to 974 are missing (e.g. task_id 511 to 553). I suppose the idea the task_id ranges for each split remain the same, even if some of the task_ids are not present. That would result in 7 few-shot, 257 test, 141 train and 22 validation examples in the sanitized split.

https://api.github.com/repos/huggingface/datasets/issues/4795/timeline

completed

https://api.github.com/repos/huggingface/datasets/issues/4792

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4792/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4792/comments

https://api.github.com/repos/huggingface/datasets/issues/4792/events

https://github.com/huggingface/datasets/issues/4792

I_kwDODunzps5PMLwJ

Add DocVQA

open

CONTRIBUTOR

## Adding a Dataset - **Name:** DocVQA - **Description:** Document Visual Question Answering (DocVQA) seeks to inspire a “purpose-driven” point of view in Document Analysis and Recognition research, where the document content is extracted and used to respond to high-level tasks defined by the human consumers of this information. - **Paper:** https://arxiv.org/abs/2007.00398 - **Data:** https://www.docvqa.org/datasets/docvqa - **Motivation:** Models like LayoutLM and Donut in the Transformers library are fine-tuned on DocVQA. Would be very handy to directly load this dataset from the hub. Instructions to add a new dataset can be found [here](https://github.com/huggingface/datasets/blob/main/ADD_NEW_DATASET.md).

https://api.github.com/repos/huggingface/datasets/issues/4792/timeline

https://api.github.com/repos/huggingface/datasets/issues/4791

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4791/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4791/comments

https://api.github.com/repos/huggingface/datasets/issues/4791/events

https://github.com/huggingface/datasets/issues/4791

I_kwDODunzps5PMGK4

Dataset Viewer issue for Team-PIXEL/rendered-wikipedia-english

closed

NONE

### Link https://huggingface.co/datasets/Team-PIXEL/rendered-wikipedia-english/viewer/rendered-wikipedia-en/train ### Description The dataset can be loaded fine but the viewer shows this error: ``` Server Error Status code: 400 Exception: Status400Error Message: The dataset does not exist. ``` I'm guessing this is because I recently renamed the dataset. Based on related issues (e.g. https://github.com/huggingface/datasets/issues/4759) , is there something server-side that needs to be refreshed? ### Owner Yes

https://api.github.com/repos/huggingface/datasets/issues/4791/timeline

completed

https://api.github.com/repos/huggingface/datasets/issues/4790

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4790/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4790/comments

https://api.github.com/repos/huggingface/datasets/issues/4790/events

https://github.com/huggingface/datasets/issues/4790

I_kwDODunzps5PMARY

Issue with fine classes in trec dataset

closed

MEMBER

## Describe the bug According to their paper, the TREC dataset contains 2 kinds of classes: - 6 coarse classes: TREC-6 - 50 fine classes: TREC-50 However, our implementation only has 47 (instead of 50) fine classes. The reason for this is that we only considered the last segment of the label, which is repeated for several coarse classes: - We have one `desc` fine label instead of 2: - `DESC:desc` - `HUM:desc` - We have one `other` fine label instead of 3: - `ENTY:other` - `LOC:other` - `NUM:other` From their paper: > We define a two-layered taxonomy, which represents a natural semantic classification for typical answers in the TREC task. The hierarchy contains 6 coarse classes and 50 fine classes, > Each coarse class contains a non-overlapping set of fine classes.

https://api.github.com/repos/huggingface/datasets/issues/4790/timeline

completed

https://api.github.com/repos/huggingface/datasets/issues/4789

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4789/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4789/comments

https://api.github.com/repos/huggingface/datasets/issues/4789/events

https://github.com/huggingface/datasets/pull/4789

PR_kwDODunzps48o3Kk

Update doc upload_dataset.mdx

closed

CONTRIBUTOR

https://api.github.com/repos/huggingface/datasets/issues/4789/timeline

https://api.github.com/repos/huggingface/datasets/issues/4788

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4788/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4788/comments

https://api.github.com/repos/huggingface/datasets/issues/4788/events

https://github.com/huggingface/datasets/pull/4788

PR_kwDODunzps48oUNx

Fix NonMatchingChecksumError in mbpp dataset

closed

MEMBER

Fix issue reported on the Hub: https://huggingface.co/datasets/mbpp/discussions/1 Fix #4787.

https://api.github.com/repos/huggingface/datasets/issues/4788/timeline

https://api.github.com/repos/huggingface/datasets/issues/4787

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4787/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4787/comments

https://api.github.com/repos/huggingface/datasets/issues/4787/events

https://github.com/huggingface/datasets/issues/4787

I_kwDODunzps5PK2TH

NonMatchingChecksumError in mbpp dataset

closed

MEMBER

## Describe the bug As reported on the Hub [Fix Checksum Mismatch](https://huggingface.co/datasets/mbpp/discussions/1), there is a `NonMatchingChecksumError` when loading mbpp dataset ## Steps to reproduce the bug ```python ds = load_dataset("mbpp", "full") ``` ## Expected results Loading of the dataset without any exception raised. ## Actual results ``` NonMatchingChecksumError Traceback (most recent call last) <ipython-input-1-a3fbdd3ed82e> in <module> ----> 1 ds = load_dataset("mbpp", "full") .../huggingface/datasets/src/datasets/load.py in load_dataset(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, ignore_verifications, keep_in_memory, save_infos, revision, use_auth_token, task, streaming, **config_kwargs) 1791 1792 # Download and prepare data -> 1793 builder_instance.download_and_prepare( 1794 download_config=download_config, 1795 download_mode=download_mode, .../huggingface/datasets/src/datasets/builder.py in download_and_prepare(self, download_config, download_mode, ignore_verifications, try_from_hf_gcs, dl_manager, base_path, use_auth_token, **download_and_prepare_kwargs) 702 logger.warning("HF google storage unreachable. Downloading and preparing it from source") 703 if not downloaded_from_gcs: --> 704 self._download_and_prepare( 705 dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs 706 ) .../huggingface/datasets/src/datasets/builder.py in _download_and_prepare(self, dl_manager, verify_infos) 1225 1226 def _download_and_prepare(self, dl_manager, verify_infos): -> 1227 super()._download_and_prepare(dl_manager, verify_infos, check_duplicate_keys=verify_infos) 1228 1229 def _get_examples_iterable_for_split(self, split_generator: SplitGenerator) -> ExamplesIterable: .../huggingface/datasets/src/datasets/builder.py in _download_and_prepare(self, dl_manager, verify_infos, **prepare_split_kwargs) 773 # Checksums verification 774 if verify_infos and dl_manager.record_checksums: --> 775 verify_checksums( 776 self.info.download_checksums, dl_manager.get_recorded_sizes_checksums(), "dataset source files" 777 ) .../huggingface/datasets/src/datasets/utils/info_utils.py in verify_checksums(expected_checksums, recorded_checksums, verification_name) 38 if len(bad_urls) > 0: 39 error_msg = "Checksums didn't match" + for_verification_name + ":\n" ---> 40 raise NonMatchingChecksumError(error_msg + str(bad_urls)) 41 logger.info("All the checksums matched successfully" + for_verification_name) 42 NonMatchingChecksumError: Checksums didn't match for dataset source files: ['https://raw.githubusercontent.com/google-research/google-research/master/mbpp/mbpp.jsonl'] ```

https://api.github.com/repos/huggingface/datasets/issues/4787/timeline

completed

https://api.github.com/repos/huggingface/datasets/issues/4786

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4786/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4786/comments

https://api.github.com/repos/huggingface/datasets/issues/4786/events

https://github.com/huggingface/datasets/issues/4786

I_kwDODunzps5PHZ0c

.save_to_disk('path', fs=s3) TypeError

closed

NONE

The following code: ```python import datasets train_dataset, test_dataset = load_dataset("imdb", split=["train", "test"]) s3 = datasets.filesystems.S3FileSystem(key=aws_access_key_id, secret=aws_secret_access_key) train_dataset.save_to_disk("s3://datasets/", fs=s3) ``` produces following traceback: ```shell File "C:\Users\Hong Knop\AppData\Local\Programs\Python\Python310\lib\site-packages\botocore\auth.py", line 374, in scope return '/'.join(scope) ``` I invoke print(scope) in <auth.py> (line 373) and find this: ```python [('4VA08VLL3VTKQJKCAI8M',), '20220803', 'us-east-1', 's3', 'aws4_request'] ```

https://api.github.com/repos/huggingface/datasets/issues/4786/timeline

completed

https://api.github.com/repos/huggingface/datasets/issues/4785

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4785/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4785/comments

https://api.github.com/repos/huggingface/datasets/issues/4785/events

https://github.com/huggingface/datasets/pull/4785

PR_kwDODunzps48k8y4

Require torchaudio<0.12.0 in docs

closed

MEMBER

This PR adds to docs the requirement of torchaudio<0.12.0 to avoid RuntimeError. Subsequent to PR: - #4777

https://api.github.com/repos/huggingface/datasets/issues/4785/timeline

https://api.github.com/repos/huggingface/datasets/issues/4784

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4784/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4784/comments

https://api.github.com/repos/huggingface/datasets/issues/4784/events

https://github.com/huggingface/datasets/issues/4784

I_kwDODunzps5PDy-Q

Add Multiface dataset

open

MEMBER

## Adding a Dataset - **Name:** Multiface dataset - **Description:** f high quality recordings of the faces of 13 identities, each captured in a multi-view capture stage performing various facial expressions. An average of 12,200 (v1 scripts) to 23,000 (v2 scripts) frames per subject with capture rate at 30 fps - **Data:** https://github.com/facebookresearch/multiface The whole dataset is 65TB though, so I'm not sure Instructions to add a new dataset can be found [here](https://github.com/huggingface/datasets/blob/main/ADD_NEW_DATASET.md).

https://api.github.com/repos/huggingface/datasets/issues/4784/timeline

https://api.github.com/repos/huggingface/datasets/issues/4783

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4783/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4783/comments

https://api.github.com/repos/huggingface/datasets/issues/4783/events

https://github.com/huggingface/datasets/pull/4783

PR_kwDODunzps48iHey

Docs for creating a loading script for image datasets

closed

MEMBER

This PR is a first draft of creating a loading script for image datasets. Feel free to let me know if there are any specificities I'm missing for this. 🙂 To do: - [x] Document how to create different configurations.

https://api.github.com/repos/huggingface/datasets/issues/4783/timeline

https://api.github.com/repos/huggingface/datasets/issues/4782

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4782/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4782/comments

https://api.github.com/repos/huggingface/datasets/issues/4782/events

https://github.com/huggingface/datasets/issues/4782

I_kwDODunzps5PDOz2

pyarrow.lib.ArrowCapacityError: array cannot contain more than 2147483646 bytes, have 2147483648

closed

NONE

## Describe the bug Following the example in CodeParrot, I receive an array size limitation error when deduplicating larger datasets. ## Steps to reproduce the bug ```python dataset_name = "the_pile" ds = load_dataset(dataset_name, split="train") ds = ds.map(preprocess, num_proc=num_workers) uniques = set(ds.unique("hash")) ``` Gists for minimum reproducible example: https://gist.github.com/conceptofmind/c5804428ea1bd89767815f9cd5f02d9a https://gist.github.com/conceptofmind/feafb07e236f28d79c2d4b28ffbdb6e2 ## Expected results Chunking and writing out a deduplicated dataset. ## Actual results ``` return dataset._data.column(column).unique().to_pylist() File "pyarrow/table.pxi", line 394, in pyarrow.lib.ChunkedArray.unique File "pyarrow/_compute.pyx", line 531, in pyarrow._compute.call_function File "pyarrow/_compute.pyx", line 330, in pyarrow._compute.Function.call File "pyarrow/error.pxi", line 143, in pyarrow.lib.pyarrow_internal_check_status File "pyarrow/error.pxi", line 124, in pyarrow.lib.check_status pyarrow.lib.ArrowCapacityError: array cannot contain more than 2147483646 bytes, have 2147483648 ```

https://api.github.com/repos/huggingface/datasets/issues/4782/timeline

completed

https://api.github.com/repos/huggingface/datasets/issues/4781

https://api.github.com/repos/huggingface/datasets

https://api.github.com/repos/huggingface/datasets/issues/4781/labels{/name}

https://api.github.com/repos/huggingface/datasets/issues/4781/comments

https://api.github.com/repos/huggingface/datasets/issues/4781/events

https://github.com/huggingface/datasets/pull/4781

PR_kwDODunzps48hOie