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When working with large arrays, setting with_format to e.g. numpy then applying map causes a significant slowdown for iterable datasets.
### Steps to reproduce the bug
```python
import numpy as np
import time
from datasets import Dataset, Features, Array3D
features=Features(**{... | value:https://api.github.com/repos/huggingface/datasets/issues/7206/comments | value:I_kwDODunzps6ZZYXr | value:open | value:1 | value:2024-10-17T17:14:52Z | value:https://api.github.com/repos/huggingface/datasets/issues/7206/labels{/name} | value:7206 | json:{"login": "alex-hh", "id": 5719745, "node_id": "MDQ6VXNlcjU3MTk3NDU=", "avatar_url": "https://avatars.githubusercontent.com/u/5719745?v=4", "gravatar_id": "", "url": "https://api.github.com/users/alex-hh", "html_url": "https://github.com/alex-hh", "followers_url": "https://api.github.com/users/alex-hh/followers", ... | true | |||||||||||
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I keep the code in case we ever want to re-run the benchmark manually | value:https://api.github.com/repos/huggingface/datasets/issues/7205/comments | value:PR_kwDODunzps599w0I | value:closed | value:1 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/7205", "html_url": "https://github.com/huggingface/datasets/pull/7205", "diff_url": "https://github.com/huggingface/datasets/pull/7205.diff", "patch_url": "https://github.com/huggingface/datasets/pull/7205.patch", "merged_at": "2024-10-08T15:25:25Z"} | value:2024-10-08T15:25:28Z | value:https://api.github.com/repos/huggingface/datasets/issues/7205/labels{/name} | value:7205 | json:{"login": "lhoestq", "id": 42851186, "node_id": "MDQ6VXNlcjQyODUxMTg2", "avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4", "gravatar_id": "", "url": "https://api.github.com/users/lhoestq", "html_url": "https://github.com/lhoestq", "followers_url": "https://api.github.com/users/lhoestq/followers"... | value:False | true | |||||||||
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https://github.com/huggingface/datasets/issues/6833#issuecomment-2399903885
```python
from datasets import load_dataset
ds = load_dataset("rotten_tomatoes", split="train", streaming=True)
ds = ds.with_format("arrow")... | value:https://api.github.com/repos/huggingface/datasets/issues/7204/comments | value:PR_kwDODunzps599Hem | value:closed | value:1 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/7204", "html_url": "https://github.com/huggingface/datasets/pull/7204", "diff_url": "https://github.com/huggingface/datasets/pull/7204.diff", "patch_url": "https://github.com/huggingface/datasets/pull/7204.patch", "merged_at": "2024-10-08T14:19:46Z"} | value:2024-10-08T14:19:47Z | value:https://api.github.com/repos/huggingface/datasets/issues/7204/labels{/name} | value:7204 | json:{"login": "alex-hh", "id": 5719745, "node_id": "MDQ6VXNlcjU3MTk3NDU=", "avatar_url": "https://avatars.githubusercontent.com/u/5719745?v=4", "gravatar_id": "", "url": "https://api.github.com/users/alex-hh", "html_url": "https://github.com/alex-hh", "followers_url": "https://api.github.com/users/alex-hh/followers", ... | value:False | true | |||||||||
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As already posted in https://github.com/microsoft/pylance-release/issues/6534, the correct type hinting fails when building a dataset using the `from_parquet` constructor.
Their suggestion is to comprehensively annotate the method's return type to better align with the docstring information... | value:https://api.github.com/repos/huggingface/datasets/issues/7202/comments | value:I_kwDODunzps6ZVoN2 | value:open | value:0 | value:2024-10-08T09:08:10Z | value:https://api.github.com/repos/huggingface/datasets/issues/7202/labels{/name} | value:7202 | json:{"login": "saiden89", "id": 45285915, "node_id": "MDQ6VXNlcjQ1Mjg1OTE1", "avatar_url": "https://avatars.githubusercontent.com/u/45285915?v=4", "gravatar_id": "", "url": "https://api.github.com/users/saiden89", "html_url": "https://github.com/saiden89", "followers_url": "https://api.github.com/users/saiden89/follow... | true | |||||||||||
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Hey!
Firstly, thanks for maintaining such framework!
I had a small issue, where I wanted to load a custom dataset of image+text captioning. I had all of my images in a single directory, and one of the images had the name `train.png`. Then, the loaded dataset had only this image.
I gue... | value:https://api.github.com/repos/huggingface/datasets/issues/7201/comments | value:I_kwDODunzps6ZLJnX | value:open | value:2 | value:2026-06-10T01:14:37Z | value:https://api.github.com/repos/huggingface/datasets/issues/7201/labels{/name} | value:7201 | json:{"login": "SagiPolaczek", "id": 56922146, "node_id": "MDQ6VXNlcjU2OTIyMTQ2", "avatar_url": "https://avatars.githubusercontent.com/u/56922146?v=4", "gravatar_id": "", "url": "https://api.github.com/users/SagiPolaczek", "html_url": "https://github.com/SagiPolaczek", "followers_url": "https://api.github.com/users/Sag... | true | |||||||||||
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In my testing, I could ... | value:https://api.github.com/repos/huggingface/datasets/issues/7200/comments | value:PR_kwDODunzps59sgRd | value:closed | value:4 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/7200", "html_url": "https://github.com/huggingface/datasets/pull/7200", "diff_url": "https://github.com/huggingface/datasets/pull/7200.diff", "patch_url": "https://github.com/huggingface/datasets/pull/7200.patch", "merged_at": "2024-10-08T15:45:17Z"} | value:2024-10-30T23:10:27Z | value:https://api.github.com/repos/huggingface/datasets/issues/7200/labels{/name} | value:7200 | json:{"login": "torotoki", "id": 989899, "node_id": "MDQ6VXNlcjk4OTg5OQ==", "avatar_url": "https://avatars.githubusercontent.com/u/989899?v=4", "gravatar_id": "", "url": "https://api.github.com/users/torotoki", "html_url": "https://github.com/torotoki", "followers_url": "https://api.github.com/users/torotoki/followers"... | value:False | true | |||||||||
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My main motivation is to be able to call iterable_dataset.repeat(None).take(samples_per_epoch) to safely avoid timeout issues in a distributed training setting. This would provide a stra... | value:https://api.github.com/repos/huggingface/datasets/issues/7198/comments | value:PR_kwDODunzps59mwgu | value:closed | value:4 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/7198", "html_url": "https://github.com/huggingface/datasets/pull/7198", "diff_url": "https://github.com/huggingface/datasets/pull/7198.diff", "patch_url": "https://github.com/huggingface/datasets/pull/7198.patch", "merged_at": "2025-02-05T16:32:31Z"} | value:2025-02-05T16:32:31Z | value:https://api.github.com/repos/huggingface/datasets/issues/7198/labels{/name} | value:7198 | json:{"login": "alex-hh", "id": 5719745, "node_id": "MDQ6VXNlcjU3MTk3NDU=", "avatar_url": "https://avatars.githubusercontent.com/u/5719745?v=4", "gravatar_id": "", "url": "https://api.github.com/users/alex-hh", "html_url": "https://github.com/alex-hh", "followers_url": "https://api.github.com/users/alex-hh/followers", ... | value:False | true | |||||||||
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from datasets import load_dataset
print("11")
traindata = load_dataset('ptb_text_only', 'penn_treebank', split='train')
print("22")
valdata = load_dataset('ptb_text_only',
'penn_treebank',
split='validation')
### Steps to reproduce... | value:https://api.github.com/repos/huggingface/datasets/issues/7197/comments | value:I_kwDODunzps6Y8Oe0 | value:open | value:2 | value:2025-02-26T02:26:16Z | value:https://api.github.com/repos/huggingface/datasets/issues/7197/labels{/name} | value:7197 | json:{"login": "Mrgengli", "id": 114299344, "node_id": "U_kgDOBtAR0A", "avatar_url": "https://avatars.githubusercontent.com/u/114299344?v=4", "gravatar_id": "", "url": "https://api.github.com/users/Mrgengli", "html_url": "https://github.com/Mrgengli", "followers_url": "https://api.github.com/users/Mrgengli/followers", ... | true | |||||||||||
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After concatenate datasets on an iterable dataset, the shuffling state is destroyed, similar to #7156
This means concatenation cant be used for resolving uneven numbers of samples across devices when using iterable datasets in a distributed setting as discussed in #6623
I also noti... | value:https://api.github.com/repos/huggingface/datasets/issues/7196/comments | value:I_kwDODunzps6Y1t7G | value:closed | value:1 | value:2026-02-04T18:55:36Z | value:https://api.github.com/repos/huggingface/datasets/issues/7196/labels{/name} | value:7196 | json:{"login": "alex-hh", "id": 5719745, "node_id": "MDQ6VXNlcjU3MTk3NDU=", "avatar_url": "https://avatars.githubusercontent.com/u/5719745?v=4", "gravatar_id": "", "url": "https://api.github.com/users/alex-hh", "html_url": "https://github.com/alex-hh", "followers_url": "https://api.github.com/users/alex-hh/followers", ... | true | ||||||||
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The following Python code tries to download a private dataset and fails with the error `datasets.exceptions.DatasetNotFoundError: Dataset 'ClimatePolicyRadar/all-document-text-data-weekly' doesn't exist on the Hub or cannot be accessed.`. Downloading a public dataset doesn't work.
``` p... | value:https://api.github.com/repos/huggingface/datasets/issues/7194/comments | value:I_kwDODunzps6YydVn | value:closed | value:2 | value:2024-10-03T10:09:28Z | value:https://api.github.com/repos/huggingface/datasets/issues/7194/labels{/name} | value:7194 | json:{"login": "kdutia", "id": 20212179, "node_id": "MDQ6VXNlcjIwMjEyMTc5", "avatar_url": "https://avatars.githubusercontent.com/u/20212179?v=4", "gravatar_id": "", "url": "https://api.github.com/users/kdutia", "html_url": "https://github.com/kdutia", "followers_url": "https://api.github.com/users/kdutia/followers", "f... | true | ||||||||
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Currently, IterableDataset doesn't support setting num_worker in .map(), which results in slow processing here. Could we add support for it? As .map() can be run in the batch fashion (e.g., batch_size is default to 1000 in datasets), it seems to be doable for IterableDataset as the regular Da... | value:https://api.github.com/repos/huggingface/datasets/issues/7193/comments | value:I_kwDODunzps6YuwM3 | value:open | value:1 | value:2024-10-03T09:54:15Z | value:https://api.github.com/repos/huggingface/datasets/issues/7193/labels{/name} | value:7193 | json:{"login": "getao", "id": 12735658, "node_id": "MDQ6VXNlcjEyNzM1NjU4", "avatar_url": "https://avatars.githubusercontent.com/u/12735658?v=4", "gravatar_id": "", "url": "https://api.github.com/users/getao", "html_url": "https://github.com/getao", "followers_url": "https://api.github.com/users/getao/followers", "follo... | true | |||||||||||
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It would be useful to be able to straightforwardly repeat iterable datasets indefinitely, to provide complete control over starting and ending of iteration to the user.
An IterableDataset.repeat(n) function could do this automatically
### Motivation
This feature was discussed in th... | value:https://api.github.com/repos/huggingface/datasets/issues/7192/comments | value:I_kwDODunzps6YuW_q | value:closed | value:3 | value:2025-03-18T10:48:33Z | value:https://api.github.com/repos/huggingface/datasets/issues/7192/labels{/name} | value:7192 | json:{"login": "alex-hh", "id": 5719745, "node_id": "MDQ6VXNlcjU3MTk3NDU=", "avatar_url": "https://avatars.githubusercontent.com/u/5719745?v=4", "gravatar_id": "", "url": "https://api.github.com/users/alex-hh", "html_url": "https://github.com/alex-hh", "followers_url": "https://api.github.com/users/alex-hh/followers", ... | true | ||||||||
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### This PR is raised because of issue: https://github.com/huggingface/datasets/issues/7080
### This PR gives solution to https://github.com/huggingface/datasets/issues/7080
... | value:https://api.github.com/repos/huggingface/datasets/issues/7191/comments | value:PR_kwDODunzps59Z1zy | value:closed | value:1 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/7191", "html_url": "https://github.com/huggingface/datasets/pull/7191", "diff_url": "https://github.com/huggingface/datasets/pull/7191.diff", "patch_url": "https://github.com/huggingface/datasets/pull/7191.patch", "merged_at": null} | value:2024-11-10T08:48:21Z | value:https://api.github.com/repos/huggingface/datasets/issues/7191/labels{/name} | value:7191 | json:{"login": "negativenagesh", "id": 148525245, "node_id": "U_kgDOCNpQvQ", "avatar_url": "https://avatars.githubusercontent.com/u/148525245?v=4", "gravatar_id": "", "url": "https://api.github.com/users/negativenagesh", "html_url": "https://github.com/negativenagesh", "followers_url": "https://api.github.com/users/neg... | value:False | true | |||||||||
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Installing both in latest versions are not possible
`pip install "datasets==3.0.1" "fsspec==2024.9.0"`
But using older version of datasets is ok
`pip install "datasets==1.24.4" "fsspec==2024.9.0"`
### Steps to reproduce the bug
`pip install "datasets==3.0.1" "fsspec==2024.9.0"... | value:https://api.github.com/repos/huggingface/datasets/issues/7190/comments | value:I_kwDODunzps6Yt4Al | value:open | value:1 | value:2024-10-10T07:33:18Z | value:https://api.github.com/repos/huggingface/datasets/issues/7190/labels{/name} | value:7190 | json:{"login": "cw-igormorgado", "id": 162599174, "node_id": "U_kgDOCbERBg", "avatar_url": "https://avatars.githubusercontent.com/u/162599174?v=4", "gravatar_id": "", "url": "https://api.github.com/users/cw-igormorgado", "html_url": "https://github.com/cw-igormorgado", "followers_url": "https://api.github.com/users/cw-... | true | |||||||||||
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Huggingface has quite a comprehensive set of guides for [audio datasets](https://huggingface.co/docs/datasets/en/audio_dataset). It seems, however, all these guides assume the audio array data to be decoded/inserted into a HF dataset always originates from individual files. The [Audio-datac... | value:https://api.github.com/repos/huggingface/datasets/issues/7189/comments | value:I_kwDODunzps6Yt1mN | value:open | value:0 | value:2024-10-02T17:01:40Z | value:https://api.github.com/repos/huggingface/datasets/issues/7189/labels{/name} | value:7189 | json:{"login": "Lauler", "id": 7157234, "node_id": "MDQ6VXNlcjcxNTcyMzQ=", "avatar_url": "https://avatars.githubusercontent.com/u/7157234?v=4", "gravatar_id": "", "url": "https://api.github.com/users/Lauler", "html_url": "https://github.com/Lauler", "followers_url": "https://api.github.com/users/Lauler/followers", "fol... | true | |||||||||||
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Note that multiprocess-0.70.1 requires dill-0.3.9: https://github.com/uqfoundation/multiprocess/releases/tag/0.70.17
Fix #7186. | value:https://api.github.com/repos/huggingface/datasets/issues/7188/comments | value:PR_kwDODunzps59VSrf | value:closed | value:1 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/7188", "html_url": "https://github.com/huggingface/datasets/pull/7188", "diff_url": "https://github.com/huggingface/datasets/pull/7188.diff", "patch_url": "https://github.com/huggingface/datasets/pull/7188.patch", "merged_at": "2024-10-02T06:08:23Z"} | value:2024-10-02T06:08:25Z | value:https://api.github.com/repos/huggingface/datasets/issues/7188/labels{/name} | value:7188 | json:{"login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/us... | value:False | true | |||||||||
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```
[rank0]: File "/home/qinghao/miniconda3/envs/doremi/lib/python3.10/site-packages/datasets/iterable_dataset.py", line 238, in __iter__
[rank0]: for key_example in islice(self.generate_examples_fn(**gen_kwags), shard_example_idx_start, None):
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The [latest `multiprocess` release](https://github.com/uqfoundation/multiprocess/releases/tag/0.70.17) requires `dill>=0.3.9` which causes issues when installing `datasets` without backtracking during package version resolution. Is it possible to add a pin for multiprocess so something like ... | value:https://api.github.com/repos/huggingface/datasets/issues/7186/comments | value:I_kwDODunzps6Ym3FN | value:closed | value:0 | value:2024-10-02T06:08:24Z | value:https://api.github.com/repos/huggingface/datasets/issues/7186/labels{/name} | value:7186 | json:{"login": "shubhbapna", "id": 38372682, "node_id": "MDQ6VXNlcjM4MzcyNjgy", "avatar_url": "https://avatars.githubusercontent.com/u/38372682?v=4", "gravatar_id": "", "url": "https://api.github.com/users/shubhbapna", "html_url": "https://github.com/shubhbapna", "followers_url": "https://api.github.com/users/shubhbapn... | true | |||||||
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```
{"level":"error","message":"Resource not accessible by integration","name":"HttpError","request":{"body":"{\"body\":\"<details>\\n<summary>Show benchmarks</summary>\\n\\nPyArrow==8.... | value:https://api.github.com/repos/huggingface/datasets/issues/7185/comments | value:I_kwDODunzps6Yf77M | value:closed | value:1 | value:2024-10-09T16:07:48Z | value:https://api.github.com/repos/huggingface/datasets/issues/7185/labels{/name} | value:7185 | json:{"login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/us... | true | ||||||||
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Note that dill-0.3.9 was released yesterday Sep 29, 2024:
- https://pypi.org/project/dill/0.3.9/
- https://github.com/uqfoundation/dill/releases/tag/0.3.9
Fix #7183. | value:https://api.github.com/repos/huggingface/datasets/issues/7184/comments | value:PR_kwDODunzps59IPEf | value:closed | value:1 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/7184", "html_url": "https://github.com/huggingface/datasets/pull/7184", "diff_url": "https://github.com/huggingface/datasets/pull/7184.diff", "patch_url": "https://github.com/huggingface/datasets/pull/7184.patch", "merged_at": "2024-09-30T14:38:57Z"} | value:2024-09-30T14:38:59Z | value:https://api.github.com/repos/huggingface/datasets/issues/7184/labels{/name} | value:7184 | json:{"login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/us... | value:False | true | |||||||||
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```
=========================== short test summary info ============================
FAILED tests/test_arrow_dataset.py::BaseDatasetTest::test_filter_caching_on_disk - AssertionError: Lists differ: [{'fi[44 chars] {'filenam... | value:https://api.github.com/repos/huggingface/datasets/issues/7183/comments | value:I_kwDODunzps6YZYE_ | value:closed | value:0 | value:2024-09-30T14:38:58Z | value:https://api.github.com/repos/huggingface/datasets/issues/7183/labels{/name} | value:7183 | json:{"login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/us... | true | ||||||||
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```
configs:
- config_name: default
features:
- name: id
dtype: int64
- name: name
dtype: string
- name: score
dtype: float64
```
This will allow to avoid inference of data types.
Currently, we allow pass... | value:https://api.github.com/repos/huggingface/datasets/issues/7182/comments | value:PR_kwDODunzps59GdLS | value:closed | value:2 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/7182", "html_url": "https://github.com/huggingface/datasets/pull/7182", "diff_url": "https://github.com/huggingface/datasets/pull/7182.diff", "patch_url": "https://github.com/huggingface/datasets/pull/7182.patch", "merged_at": "2024-10-09T16:03:54Z"} | value:2024-10-09T16:03:57Z | value:https://api.github.com/repos/huggingface/datasets/issues/7182/labels{/name} | value:7182 | json:{"login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/us... | value:False | true | |||||||||
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I've encountered a memory leak when wrapping the HuggingFace dataset into a PyTorch Dataset. The RAM usage constantly increases during iteration if items are not explicitly deleted after use.
### Steps to reproduce the bug
Steps to reproduce:
Create a PyTorch Dataset wra... | value:https://api.github.com/repos/huggingface/datasets/issues/7180/comments | value:I_kwDODunzps6YPq6O | value:closed | value:1 | value:2024-09-30T12:07:56Z | value:https://api.github.com/repos/huggingface/datasets/issues/7180/labels{/name} | value:7180 | json:{"login": "iamwangyabin", "id": 38123329, "node_id": "MDQ6VXNlcjM4MTIzMzI5", "avatar_url": "https://avatars.githubusercontent.com/u/38123329?v=4", "gravatar_id": "", "url": "https://api.github.com/users/iamwangyabin", "html_url": "https://github.com/iamwangyabin", "followers_url": "https://api.github.com/users/iam... | true | ||||||||
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During last release, I had to make this additional update. | value:https://api.github.com/repos/huggingface/datasets/issues/7177/comments | value:PR_kwDODunzps585Fx2 | value:closed | value:1 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/7177", "html_url": "https://github.com/huggingface/datasets/pull/7177", "diff_url": "https://github.com/huggingface/datasets/pull/7177.diff", "patch_url": "https://github.com/huggingface/datasets/pull/7177.patch", "merged_at": "2024-09-27T08:57:32Z"} | value:2024-09-27T08:57:35Z | value:https://api.github.com/repos/huggingface/datasets/issues/7177/labels{/name} | value:7177 | json:{"login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/us... | value:False | true | |||||||||
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When using `load_dataset`to load [HuggingFaceM4/VQAv2](https://huggingface.co/datasets/HuggingFaceM4/VQAv2), I am getting `FSTimeoutError`.
### Error
```
TimeoutError:
The above exception was the direct cause of the following exception:
FSTimeoutError ... | value:https://api.github.com/repos/huggingface/datasets/issues/7175/comments | value:I_kwDODunzps6YDIUZ | value:closed | value:7 | value:2025-02-01T09:09:35Z | value:https://api.github.com/repos/huggingface/datasets/issues/7175/labels{/name} | value:7175 | json:{"login": "cosmo3769", "id": 53268607, "node_id": "MDQ6VXNlcjUzMjY4NjA3", "avatar_url": "https://avatars.githubusercontent.com/u/53268607?v=4", "gravatar_id": "", "url": "https://api.github.com/users/cosmo3769", "html_url": "https://github.com/cosmo3769", "followers_url": "https://api.github.com/users/cosmo3769/fo... | true | ||||||||
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Note that previously, `torchdata` was installed from their repo and current main branch (0.10.0.dev) requires Python>=3.9.
Also note they made a recent release: 0.8.0 on Jul 31, 2024.
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```
Run uv pip install --system -r additional-tests-requirements.txt --no-deps
× No solution found when resolving dependencies:
╰─▶ Because the current Python version (3.8.18) does not satisfy Python>=3.9
and torc... | value:https://api.github.com/repos/huggingface/datasets/issues/7171/comments | value:I_kwDODunzps6X-e2n | value:closed | value:0 | value:2024-09-26T08:05:41Z | value:https://api.github.com/repos/huggingface/datasets/issues/7171/labels{/name} | value:7171 | json:{"login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/us... | true | |||||||
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Fix #7169.
The implemented test raised:
```
datasets.table.CastError: Couldn't cast
age: int64
to
{'age': Value(dtype='int32', id=None), 'name': Value(dtype='string', id=None)}
because column names don't match
```
Related to:
- #7160
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> CastError: Couldn't cast ... to ... because column names don't match
Related to:
- #7159
- #7161 | value:https://api.github.com/repos/huggingface/datasets/issues/7169/comments | value:I_kwDODunzps6XzoT8 | value:closed | value:0 | value:2024-09-26T06:42:08Z | value:https://api.github.com/repos/huggingface/datasets/issues/7169/labels{/name} | value:7169 | json:{"login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/us... | true | |||||||
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This will randomly pop up during training now
```
Traceback (most recent call last):
File "/workspace/diffusers/examples/controlnet/train_controlnet.py", line 1192, in <module>
main(args)
File "/workspace/diffusers/examples/controlnet/train_controlnet.py", line 1041, in main... | value:https://api.github.com/repos/huggingface/datasets/issues/7168/comments | value:I_kwDODunzps6Xy7hn | value:closed | value:5 | value:2025-09-16T15:38:01Z | value:https://api.github.com/repos/huggingface/datasets/issues/7168/labels{/name} | value:7168 | json:{"login": "Night1099", "id": 90132896, "node_id": "MDQ6VXNlcjkwMTMyODk2", "avatar_url": "https://avatars.githubusercontent.com/u/90132896?v=4", "gravatar_id": "", "url": "https://api.github.com/users/Night1099", "html_url": "https://github.com/Night1099", "followers_url": "https://api.github.com/users/Night1099/fo... | true | ||||||||
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```
Map: 6%|██████ | 8000/138120 [19:27<5:16:36, 6.85 examples/s]
Traceback (most recent call last):
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I am trying to download the `librispeech_asr` `clean` dataset, which results in a `FSTimeoutError` exception after downloading around 61% of the data.
### Steps to reproduce the bug
```
import datasets
datasets.load_dataset("librispeech_asr", "clean")
```
The output is as follows:
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In the examples section of the iterable dataset docs https://huggingface.co/docs/datasets/en/package_reference/main_classes#datasets.IterableDataset
the ddp example shuffles without seeding
```python
from datasets.distributed import split_dataset_by_node
ids = ds.to_iterable_dataset(... | value:https://api.github.com/repos/huggingface/datasets/issues/7163/comments | value:I_kwDODunzps6XiVqS | value:closed | value:1 | value:2024-09-24T14:40:15Z | value:https://api.github.com/repos/huggingface/datasets/issues/7163/labels{/name} | value:7163 | json:{"login": "alex-hh", "id": 5719745, "node_id": "MDQ6VXNlcjU3MTk3NDU=", "avatar_url": "https://avatars.githubusercontent.com/u/5719745?v=4", "gravatar_id": "", "url": "https://api.github.com/users/alex-hh", "html_url": "https://github.com/alex-hh", "followers_url": "https://api.github.com/users/alex-hh/followers", ... | true | ||||||||
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Fix #7161.
Related to:
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See example: https://huggingface.co/datasets/wikimedia/structured-wikipedia/discussions/5
> ArrowTypeError: struct fields don't match or are in the wrong order: Input fields: struct<> output fields: struct... | value:https://api.github.com/repos/huggingface/datasets/issues/7161/comments | value:I_kwDODunzps6Xg2nb | value:closed | value:0 | value:2024-09-25T04:43:44Z | value:https://api.github.com/repos/huggingface/datasets/issues/7161/labels{/name} | value:7161 | json:{"login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/us... | true | |||||||
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Fix #7159.
The implemented test raised:
```
TypeError: Couldn't cast array of type
struct<age: int64>
to
{'age': Value(dtype='int32', id=None), 'name': Value(dtype='string', id=None)}
``` | value:https://api.github.com/repos/huggingface/datasets/issues/7160/comments | value:PR_kwDODunzps58VDhq | value:closed | value:1 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/7160", "html_url": "https://github.com/huggingface/datasets/pull/7160", "diff_url": "https://github.com/huggingface/datasets/pull/7160.diff", "patch_url": "https://github.com/huggingface/datasets/pull/7160.patch", "merged_at": "2024-09-23T11:09:17Z"} | value:2024-09-23T11:09:19Z | value:https://api.github.com/repos/huggingface/datasets/issues/7160/labels{/name} | value:7160 | json:{"login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/us... | value:False | true | |||||||||
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See example: https://huggingface.co/datasets/wikimedia/structured-wikipedia/discussions/5
One would expect that the struct missing fields are added with null values. | value:https://api.github.com/repos/huggingface/datasets/issues/7159/comments | value:I_kwDODunzps6XgcqN | value:closed | value:1 | value:2024-10-21T08:07:07Z | value:https://api.github.com/repos/huggingface/datasets/issues/7159/labels{/name} | value:7159 | json:{"login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/us... | true | |||||||
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```
import datasets
import torch.utils.data
def gen(shards):
yield {"shards": shards}
def main():
dataset = datasets.IterableDataset.from_generator(
gen,
gen_kwargs={'shards': list(range(25))}
)
dataset = dataset.shuffle(buffer_size=1)
d... | value:https://api.github.com/repos/huggingface/datasets/issues/7156/comments | value:I_kwDODunzps6XW5Fp | value:closed | value:2 | value:2026-11-02T17:41:08Z | value:https://api.github.com/repos/huggingface/datasets/issues/7156/labels{/name} | value:7156 | json:{"login": "jonathanasdf", "id": 511073, "node_id": "MDQ6VXNlcjUxMTA3Mw==", "avatar_url": "https://avatars.githubusercontent.com/u/511073?v=4", "gravatar_id": "", "url": "https://api.github.com/users/jonathanasdf", "html_url": "https://github.com/jonathanasdf", "followers_url": "https://api.github.com/users/jonatha... | true | ||||||||
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I have a dataset and I didn't know I couldn't upload more than 32 splits. Now, my dataset viewer is not working. I don't have the dataset locally on my node anymore and recreating would take a week. And I have to publish the dataset coming Monday. I read about the practice, how I can resolve it an... | value:https://api.github.com/repos/huggingface/datasets/issues/7155/comments | value:I_kwDODunzps6XBE6O | value:closed | value:1 | value:2024-09-18T13:20:03Z | value:https://api.github.com/repos/huggingface/datasets/issues/7155/labels{/name} | value:7155 | json:{"login": "sleepingcat4", "id": 81933585, "node_id": "MDQ6VXNlcjgxOTMzNTg1", "avatar_url": "https://avatars.githubusercontent.com/u/81933585?v=4", "gravatar_id": "", "url": "https://api.github.com/users/sleepingcat4", "html_url": "https://github.com/sleepingcat4", "followers_url": "https://api.github.com/users/sle... | true | ||||||||
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Fix #7153. | value:https://api.github.com/repos/huggingface/datasets/issues/7154/comments | value:PR_kwDODunzps572hBd | value:closed | value:2 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/7154", "html_url": "https://github.com/huggingface/datasets/pull/7154", "diff_url": "https://github.com/huggingface/datasets/pull/7154.diff", "patch_url": "https://github.com/huggingface/datasets/pull/7154.patch", "merged_at": "2024-09-19T11:25:14Z"} | value:2024-09-19T11:25:17Z | value:https://api.github.com/repos/huggingface/datasets/issues/7154/labels{/name} | value:7154 | json:{"login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/us... | value:False | true | |||||||||
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Support data files with `.ndjson` extension.
### Motivation
We already support data files with `.jsonl` extension.
### Your contribution
I am opening a PR. | value:https://api.github.com/repos/huggingface/datasets/issues/7153/comments | value:I_kwDODunzps6W90lL | value:closed | value:0 | value:2024-09-19T11:25:15Z | value:https://api.github.com/repos/huggingface/datasets/issues/7153/labels{/name} | value:7153 | json:{"login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/us... | true | |||||||
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This PR uses the same `base_plus_ext` function as the one used by the `webdataset` library.
Fix #7150.
Related to #7144. | value:https://api.github.com/repos/huggingface/datasets/issues/7151/comments | value:PR_kwDODunzps57kyY4 | value:closed | value:0 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/7151", "html_url": "https://github.com/huggingface/datasets/pull/7151", "diff_url": "https://github.com/huggingface/datasets/pull/7151.diff", "patch_url": "https://github.com/huggingface/datasets/pull/7151.patch", "merged_at": "2024-09-16T15:26:34Z"} | value:2024-09-16T15:26:36Z | value:https://api.github.com/repos/huggingface/datasets/issues/7151/labels{/name} | value:7151 | json:{"login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/us... | value:False | true | |||||||||
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For example, we get a different key splitting for filename `/some/path/22.0/1.1.... | value:https://api.github.com/repos/huggingface/datasets/issues/7150/comments | value:I_kwDODunzps6Wp6zn | value:closed | value:0 | value:2024-09-16T15:26:35Z | value:https://api.github.com/repos/huggingface/datasets/issues/7150/labels{/name} | value:7150 | json:{"login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/us... | true | |||||||
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Issue
```python
from datasets import load_dataset
examples = load_dataset('facebook/winoground', use_auth_token=<YOUR USER ACCESS TOKEN>)
```
Gives error
```
TypeError: DatasetInfo.__init__() got an unexpected keyword argument 'task_templates'
```
A simple downgrade to lower... | value:https://api.github.com/repos/huggingface/datasets/issues/7149/comments | value:I_kwDODunzps6WeMYo | value:closed | value:3 | value:2025-03-06T07:11:55Z | value:https://api.github.com/repos/huggingface/datasets/issues/7149/labels{/name} | value:7149 | json:{"login": "varungupta31", "id": 51288316, "node_id": "MDQ6VXNlcjUxMjg4MzE2", "avatar_url": "https://avatars.githubusercontent.com/u/51288316?v=4", "gravatar_id": "", "url": "https://api.github.com/users/varungupta31", "html_url": "https://github.com/varungupta31", "followers_url": "https://api.github.com/users/var... | true | |||||||
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When downloading the dataset "mteb/mtop_domain", ran into the following error:
```
Traceback (most recent call last):
File "/share/project/xzy/test/test_download.py", line 3, in <module>
data = load_dataset("mteb/mtop_domain", "en", trust_remote_code=True)
File "/opt/conda/lib... | value:https://api.github.com/repos/huggingface/datasets/issues/7148/comments | value:I_kwDODunzps6WbqRF | value:closed | value:4 | value:2024-09-14T15:11:35Z | value:https://api.github.com/repos/huggingface/datasets/issues/7148/labels{/name} | value:7148 | json:{"login": "ZiyiXia", "id": 77958037, "node_id": "MDQ6VXNlcjc3OTU4MDM3", "avatar_url": "https://avatars.githubusercontent.com/u/77958037?v=4", "gravatar_id": "", "url": "https://api.github.com/users/ZiyiXia", "html_url": "https://github.com/ZiyiXia", "followers_url": "https://api.github.com/users/ZiyiXia/followers"... | true | ||||||||
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```
import datasets
import torch.utils.data
num_shards = 1024
def gen(shards):
for shard in shards:
if shard < 25:
yield {"shard": shard}
def main():
dataset = datasets.IterableDataset.from_generator(
gen,
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```
example[field_name] = {"path": example["__key__"] + "." + field_name, "bytes": example[field_name]}
KeyError: 'png'
```
The issue is that a filename may have multiple "." e.g. `22.05.png`. Changing `split` to `rsplit` fixes it.
Related https://github.com/huggingface/datasets/iss... | value:https://api.github.com/repos/huggingface/datasets/issues/7144/comments | value:PR_kwDODunzps57JLmb | value:closed | value:8 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/7144", "html_url": "https://github.com/huggingface/datasets/pull/7144", "diff_url": "https://github.com/huggingface/datasets/pull/7144.diff", "patch_url": "https://github.com/huggingface/datasets/pull/7144.patch", "merged_at": null} | value:2025-01-15T10:32:43Z | value:https://api.github.com/repos/huggingface/datasets/issues/7144/labels{/name} | value:7144 | json:{"login": "ragavsachdeva", "id": 26804893, "node_id": "MDQ6VXNlcjI2ODA0ODkz", "avatar_url": "https://avatars.githubusercontent.com/u/26804893?v=4", "gravatar_id": "", "url": "https://api.github.com/users/ragavsachdeva", "html_url": "https://github.com/ragavsachdeva", "followers_url": "https://api.github.com/users/... | value:False | true | |||||||||
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**Before (Add + Cast)**:
```
from datasets import load_dataset, Value
ds = load_dataset("rotten_tomatoes", split="test")
lst = [i for i in range(len(ds))]
ds = ds.add_column("new_col", lst)
# Assigns int64 to new_col by default
print(ds.features)
ds = ds.cast_column("new_col", Value(dt... | value:https://api.github.com/repos/huggingface/datasets/issues/7143/comments | value:PR_kwDODunzps56xCm6 | value:closed | value:6 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/7143", "html_url": "https://github.com/huggingface/datasets/pull/7143", "diff_url": "https://github.com/huggingface/datasets/pull/7143.diff", "patch_url": "https://github.com/huggingface/datasets/pull/7143.patch", "merged_at": "2024-09-16T15:11:01Z"} | value:2024-09-17T06:01:23Z | value:https://api.github.com/repos/huggingface/datasets/issues/7143/labels{/name} | value:7143 | json:{"login": "varadhbhatnagar", "id": 20443618, "node_id": "MDQ6VXNlcjIwNDQzNjE4", "avatar_url": "https://avatars.githubusercontent.com/u/20443618?v=4", "gravatar_id": "", "url": "https://api.github.com/users/varadhbhatnagar", "html_url": "https://github.com/varadhbhatnagar", "followers_url": "https://api.github.com/... | value:False | true | |||||||||
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There should be a way to specify the datatype of a column in `datasets.add_column()`.
### Motivation
To specify a custom datatype, we have to use `datasets.add_column()` followed by `datasets.cast_column()` which is slow for large datasets. Another workaround is to pass a `numpy.array()` o... | value:https://api.github.com/repos/huggingface/datasets/issues/7142/comments | value:I_kwDODunzps6VvdDK | value:closed | value:1 | value:2024-09-17T03:46:32Z | value:https://api.github.com/repos/huggingface/datasets/issues/7142/labels{/name} | value:7142 | json:{"login": "varadhbhatnagar", "id": 20443618, "node_id": "MDQ6VXNlcjIwNDQzNjE4", "avatar_url": "https://avatars.githubusercontent.com/u/20443618?v=4", "gravatar_id": "", "url": "https://api.github.com/users/varadhbhatnagar", "html_url": "https://github.com/varadhbhatnagar", "followers_url": "https://api.github.com/... | true | ||||||||
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The dataset loading was throwing some safety errors for this popular dataset `wmt14`.
[in]:
```
import datasets
# train_data = datasets.load_dataset("wmt14", "de-en", split="train")
train_data = datasets.load_dataset("wmt14", "de-en", split="train")
val_data = datasets.load_da... | value:https://api.github.com/repos/huggingface/datasets/issues/7141/comments | value:I_kwDODunzps6Vp7tV | value:closed | value:17 | value:2024-09-06T21:14:14Z | value:https://api.github.com/repos/huggingface/datasets/issues/7141/labels{/name} | value:7141 | json:{"login": "alvations", "id": 1050316, "node_id": "MDQ6VXNlcjEwNTAzMTY=", "avatar_url": "https://avatars.githubusercontent.com/u/1050316?v=4", "gravatar_id": "", "url": "https://api.github.com/users/alvations", "html_url": "https://github.com/alvations", "followers_url": "https://api.github.com/users/alvations/foll... | true | ||||||||
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```python
def get_dataset(data_path, train_folder="train", val_folder="val"):
traindir = os.path.join(data_path, train_folder)
valdir = os.path.join(data_path, val_folder)
def transform_val_examples(examples):
transform = Compose([
Resize(256),
... | value:https://api.github.com/repos/huggingface/datasets/issues/7139/comments | value:I_kwDODunzps6Vfj8K | value:open | value:2 | value:2024-10-09T04:02:41Z | value:https://api.github.com/repos/huggingface/datasets/issues/7139/labels{/name} | value:7139 | json:{"login": "fscdc", "id": 105094708, "node_id": "U_kgDOBkOeNA", "avatar_url": "https://avatars.githubusercontent.com/u/105094708?v=4", "gravatar_id": "", "url": "https://api.github.com/users/fscdc", "html_url": "https://github.com/fscdc", "followers_url": "https://api.github.com/users/fscdc/followers", "following_u... | true | |||||||||||
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Cache only the actual changes to the dataset i.e. changed columns.
### Motivation
I realized that caching actually saves the complete dataset again.
This is especially problematic for image datasets if one wants to only change another column e.g. some metadata and then has to save 5 TB aga... | value:https://api.github.com/repos/huggingface/datasets/issues/7138/comments | value:I_kwDODunzps6VeQzE | value:open | value:2 | value:2024-09-20T13:27:20Z | value:https://api.github.com/repos/huggingface/datasets/issues/7138/labels{/name} | value:7138 | json:{"login": "Modexus", "id": 37351874, "node_id": "MDQ6VXNlcjM3MzUxODc0", "avatar_url": "https://avatars.githubusercontent.com/u/37351874?v=4", "gravatar_id": "", "url": "https://api.github.com/users/Modexus", "html_url": "https://github.com/Modexus", "followers_url": "https://api.github.com/users/Modexus/followers"... | true | |||||||||||
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When working on `dataset_info` yaml, I find my data column with format `list[dict[str, str]]` cannot be coded correctly.
My data looks like
```
{"answers":[{"text": "ADDRESS", "label": "abc"}]}
```
My `dataset_info` in README.md is:
```
dataset_info:
- config_name: default
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```shell
pytest tests/test_distributed.py -k iterable
```
Runs successfully. | value:https://api.github.com/repos/huggingface/datasets/issues/7136/comments | value:PR_kwDODunzps56b9R- | value:open | value:0 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/7136", "html_url": "https://github.com/huggingface/datasets/pull/7136", "diff_url": "https://github.com/huggingface/datasets/pull/7136.diff", "patch_url": "https://github.com/huggingface/datasets/pull/7136.patch", "merged_at": null} | value:2024-09-04T19:28:23Z | value:https://api.github.com/repos/huggingface/datasets/issues/7136/labels{/name} | value:7136 | json:{"login": "janEbert", "id": 12694897, "node_id": "MDQ6VXNlcjEyNjk0ODk3", "avatar_url": "https://avatars.githubusercontent.com/u/12694897?v=4", "gravatar_id": "", "url": "https://api.github.com/users/janEbert", "html_url": "https://github.com/janEbert", "followers_url": "https://api.github.com/users/janEbert/follow... | value:False | true | |||||||||||
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## Description
There is an issue with the `map` function in the `datasets` library where the mapped output does not reflect the expected type change. After applying a mapping function to convert an integer label to a string, the resulting type remains an integer inste... | value:https://api.github.com/repos/huggingface/datasets/issues/7135/comments | value:I_kwDODunzps6VNZs4 | value:open | value:3 | value:2024-09-05T14:09:05Z | value:https://api.github.com/repos/huggingface/datasets/issues/7135/labels{/name} | value:7135 | json:{"login": "marko1616", "id": 45327989, "node_id": "MDQ6VXNlcjQ1MzI3OTg5", "avatar_url": "https://avatars.githubusercontent.com/u/45327989?v=4", "gravatar_id": "", "url": "https://api.github.com/users/marko1616", "html_url": "https://github.com/marko1616", "followers_url": "https://api.github.com/users/marko1616/fo... | true | |||||||||||
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Background: Digital images are often represented as a (Height, Width, Channel) tensor. This is the same for huggingface datasets that contain images. These images are loaded in Pillow containers which offer, for example, the `.convert` method.
I can convert an image from a (H,W,3) shap... | value:https://api.github.com/repos/huggingface/datasets/issues/7134/comments | value:I_kwDODunzps6U-xmJ | value:open | value:0 | value:2024-09-02T10:34:53Z | value:https://api.github.com/repos/huggingface/datasets/issues/7134/labels{/name} | value:7134 | json:{"login": "navidmafi", "id": 46371349, "node_id": "MDQ6VXNlcjQ2MzcxMzQ5", "avatar_url": "https://avatars.githubusercontent.com/u/46371349?v=4", "gravatar_id": "", "url": "https://api.github.com/users/navidmafi", "html_url": "https://github.com/navidmafi", "followers_url": "https://api.github.com/users/navidmafi/fo... | true | |||||||||||
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@lhoestq | value:https://api.github.com/repos/huggingface/datasets/issues/7133/comments | value:PR_kwDODunzps557zng | value:closed | value:6 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/7133", "html_url": "https://github.com/huggingface/datasets/pull/7133", "diff_url": "https://github.com/huggingface/datasets/pull/7133.diff", "patch_url": "https://github.com/huggingface/datasets/pull/7133.patch", "merged_at": "2024-12-24T14:25:22Z"} | value:2024-12-24T14:25:22Z | value:https://api.github.com/repos/huggingface/datasets/issues/7133/labels{/name} | value:7133 | json:{"login": "fschlatt", "id": 23191892, "node_id": "MDQ6VXNlcjIzMTkxODky", "avatar_url": "https://avatars.githubusercontent.com/u/23191892?v=4", "gravatar_id": "", "url": "https://api.github.com/users/fschlatt", "html_url": "https://github.com/fschlatt", "followers_url": "https://api.github.com/users/fschlatt/follow... | value:False | true | |||||||||
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Now when trying to load the dataset, an error is raised that not all splits have the same data format:
> ValueError: Couldn't infer the s... | value:https://api.github.com/repos/huggingface/datasets/issues/7132/comments | value:PR_kwDODunzps551k1C | value:open | value:3 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/7132", "html_url": "https://github.com/huggingface/datasets/pull/7132", "diff_url": "https://github.com/huggingface/datasets/pull/7132.diff", "patch_url": "https://github.com/huggingface/datasets/pull/7132.patch", "merged_at": null} | value:2024-09-02T19:52:13Z | value:https://api.github.com/repos/huggingface/datasets/issues/7132/labels{/name} | value:7132 | json:{"login": "HennerM", "id": 1714412, "node_id": "MDQ6VXNlcjE3MTQ0MTI=", "avatar_url": "https://avatars.githubusercontent.com/u/1714412?v=4", "gravatar_id": "", "url": "https://api.github.com/users/HennerM", "html_url": "https://github.com/HennerM", "followers_url": "https://api.github.com/users/HennerM/followers", ... | value:False | true | |||||||||||
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````
from datasets import Features
features = Features({'label': ClassLabel(num_classes=3, names=['bad', 'ok', 'good... | value:https://api.github.com/repos/huggingface/datasets/issues/7129/comments | value:I_kwDODunzps6UiAb6 | value:closed | value:0 | value:2024-12-06T11:32:02Z | value:https://api.github.com/repos/huggingface/datasets/issues/7129/labels{/name} | value:7129 | json:{"login": "sergiopaniego", "id": 17179696, "node_id": "MDQ6VXNlcjE3MTc5Njk2", "avatar_url": "https://avatars.githubusercontent.com/u/17179696?v=4", "gravatar_id": "", "url": "https://api.github.com/users/sergiopaniego", "html_url": "https://github.com/sergiopaniego", "followers_url": "https://api.github.com/users/... | true | ||||||||
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I am not sure if this is a new feature, but I wanted to post this problem here, and hear if others have ways of optimizing and speeding up this process.
Let's say I have a really large dataset that I cannot load into memory. At this point, I am only aware of `streaming=True` to load the da... | value:https://api.github.com/repos/huggingface/datasets/issues/7128/comments | value:I_kwDODunzps6UbpPX | value:open | value:4 | value:2024-10-07T23:37:44Z | value:https://api.github.com/repos/huggingface/datasets/issues/7128/labels{/name} | value:7128 | json:{"login": "QiyaoWei", "id": 36057290, "node_id": "MDQ6VXNlcjM2MDU3Mjkw", "avatar_url": "https://avatars.githubusercontent.com/u/36057290?v=4", "gravatar_id": "", "url": "https://api.github.com/users/QiyaoWei", "html_url": "https://github.com/QiyaoWei", "followers_url": "https://api.github.com/users/QiyaoWei/follow... | true | |||||||||||
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Create a dataset. Save it to disk. Load from disk. Shuffle, usning a `np.random.Generator`. Iterate. Shuffle again. Iterate. The iterates are different since the supplied np.random.Generator has progressed between the shuffles.
Load dataset from disk again. Shuffle and Iterate. See same r... | value:https://api.github.com/repos/huggingface/datasets/issues/7127/comments | value:I_kwDODunzps6UNVwm | value:closed | value:2 | value:2026-09-10T13:34:25Z | value:https://api.github.com/repos/huggingface/datasets/issues/7127/labels{/name} | value:7127 | json:{"login": "el-hult", "id": 11832922, "node_id": "MDQ6VXNlcjExODMyOTIy", "avatar_url": "https://avatars.githubusercontent.com/u/11832922?v=4", "gravatar_id": "", "url": "https://api.github.com/users/el-hult", "html_url": "https://github.com/el-hult", "followers_url": "https://api.github.com/users/el-hult/followers"... | true | ||||||||
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This PR allows running CI tests locally without implicitly using the local user HF token. For example, run locally the tests in:
- #7124 | value:https://api.github.com/repos/huggingface/datasets/issues/7126/comments | value:PR_kwDODunzps55Y-Ws | value:closed | value:2 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/7126", "html_url": "https://github.com/huggingface/datasets/pull/7126", "diff_url": "https://github.com/huggingface/datasets/pull/7126.diff", "patch_url": "https://github.com/huggingface/datasets/pull/7126.patch", "merged_at": "2024-08-26T05:59:15Z"} | value:2024-08-26T06:05:01Z | value:https://api.github.com/repos/huggingface/datasets/issues/7126/labels{/name} | value:7126 | json:{"login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/us... | value:False | true | |||||||||
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Related to:
- #7109
See also:
- https://github.com/huggingface/dataset-viewer/pull/3037: https://github.com/huggingface/dataset-viewer/pull/3037/commits/bb1a7e00c53c242088597cab6572e4fd57797ecb | value:https://api.github.com/repos/huggingface/datasets/issues/7124/comments | value:PR_kwDODunzps55YzWr | value:closed | value:2 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/7124", "html_url": "https://github.com/huggingface/datasets/pull/7124", "diff_url": "https://github.com/huggingface/datasets/pull/7124.diff", "patch_url": "https://github.com/huggingface/datasets/pull/7124.patch", "merged_at": "2024-08-26T06:09:42Z"} | value:2024-08-26T06:15:33Z | value:https://api.github.com/repos/huggingface/datasets/issues/7124/labels{/name} | value:7124 | json:{"login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/us... | value:False | true | |||||||||
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To display images with their associated metadata in the dataset viewer, a `metadata.csv` file is required. In the case of a dataset with multiple subsets, this would require the CSVs to be contained in the same folder as the images since they all need to be named `metadata.csv`. The request... | value:https://api.github.com/repos/huggingface/datasets/issues/7123/comments | value:I_kwDODunzps6UDuRh | value:open | value:3 | value:2024-10-17T09:13:47Z | value:https://api.github.com/repos/huggingface/datasets/issues/7123/labels{/name} | value:7123 | json:{"login": "egrace479", "id": 38985481, "node_id": "MDQ6VXNlcjM4OTg1NDgx", "avatar_url": "https://avatars.githubusercontent.com/u/38985481?v=4", "gravatar_id": "", "url": "https://api.github.com/users/egrace479", "html_url": "https://github.com/egrace479", "followers_url": "https://api.github.com/users/egrace479/fo... | true | |||||||||||
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interleave_dataset and [RandomlyCyclingMultiSourcesExamplesIterable](https://github.com/huggingface/datasets/blob/3813ce846e52824b38e53895810682f0a496a2e3/src/datasets/iterable_dataset.py#L816) enable us to sample data examples from different sources. But can we also sample batches in a simil... | value:https://api.github.com/repos/huggingface/datasets/issues/7122/comments | value:I_kwDODunzps6T9896 | value:open | value:0 | value:2024-08-23T07:21:15Z | value:https://api.github.com/repos/huggingface/datasets/issues/7122/labels{/name} | value:7122 | json:{"login": "memray", "id": 4197249, "node_id": "MDQ6VXNlcjQxOTcyNDk=", "avatar_url": "https://avatars.githubusercontent.com/u/4197249?v=4", "gravatar_id": "", "url": "https://api.github.com/users/memray", "html_url": "https://github.com/memray", "followers_url": "https://api.github.com/users/memray/followers", "fol... | true | |||||||||||
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```
FileNotFoundError: Couldn't find a dataset script at /src/services/worker/Omega02gdfdd/bioclip-demo-zero-shot-mistakes/bioclip-demo-zero-shot-mistakes.py or any data file in the same directory. Coul... | value:https://api.github.com/repos/huggingface/datasets/issues/7120/comments | value:PR_kwDODunzps55HrBy | value:closed | value:3 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/7120", "html_url": "https://github.com/huggingface/datasets/pull/7120", "diff_url": "https://github.com/huggingface/datasets/pull/7120.diff", "patch_url": "https://github.com/huggingface/datasets/pull/7120.patch", "merged_at": "2024-08-22T14:33:52Z"} | value:2024-08-22T14:39:52Z | value:https://api.github.com/repos/huggingface/datasets/issues/7120/labels{/name} | value:7120 | json:{"login": "severo", "id": 1676121, "node_id": "MDQ6VXNlcjE2NzYxMjE=", "avatar_url": "https://avatars.githubusercontent.com/u/1676121?v=4", "gravatar_id": "", "url": "https://api.github.com/users/severo", "html_url": "https://github.com/severo", "followers_url": "https://api.github.com/users/severo/followers", "fol... | value:False | true | |||||||||
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Note that transformers no longer pins numpy < 2 since transformers-4.43.0:
- https://github.com/huggingface/transformers/pull/32018
- https://github.com/huggingface/transformers/releases/tag/v4.43.0 | value:https://api.github.com/repos/huggingface/datasets/issues/7119/comments | value:PR_kwDODunzps54-GjY | value:closed | value:2 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/7119", "html_url": "https://github.com/huggingface/datasets/pull/7119", "diff_url": "https://github.com/huggingface/datasets/pull/7119.diff", "patch_url": "https://github.com/huggingface/datasets/pull/7119.patch", "merged_at": "2024-08-21T11:36:50Z"} | value:2024-08-21T11:42:35Z | value:https://api.github.com/repos/huggingface/datasets/issues/7119/labels{/name} | value:7119 | json:{"login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/us... | value:False | true | |||||||||
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This PR reverts:
- #7114
Note that audio extra tests can be included again with numpy-2.1 once next numba-0.61.0 version is released. | value:https://api.github.com/repos/huggingface/datasets/issues/7118/comments | value:PR_kwDODunzps549yu4 | value:closed | value:2 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/7118", "html_url": "https://github.com/huggingface/datasets/pull/7118", "diff_url": "https://github.com/huggingface/datasets/pull/7118.diff", "patch_url": "https://github.com/huggingface/datasets/pull/7118.patch", "merged_at": "2024-08-21T10:58:15Z"} | value:2024-08-21T11:05:03Z | value:https://api.github.com/repos/huggingface/datasets/issues/7118/labels{/name} | value:7118 | json:{"login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/us... | value:False | true | |||||||||
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To fix this issue, I'm using writer_batch_si... | value:https://api.github.com/repos/huggingface/datasets/issues/7117/comments | value:I_kwDODunzps6TnT2L | value:open | value:3 | value:2024-08-26T13:11:55Z | value:https://api.github.com/repos/huggingface/datasets/issues/7117/labels{/name} | value:7117 | json:{"login": "Jourdelune", "id": 64205064, "node_id": "MDQ6VXNlcjY0MjA1MDY0", "avatar_url": "https://avatars.githubusercontent.com/u/64205064?v=4", "gravatar_id": "", "url": "https://api.github.com/users/Jourdelune", "html_url": "https://github.com/Jourdelune", "followers_url": "https://api.github.com/users/Jourdelun... | true | |||||||||||
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I have a json named temp.json.
```json
{"ref1": "ABC", "ref2": "DEF", "cuts":[{"cut1": 3, "cut2": 5}]}
```
I want to load it.
```python
ds = datasets.load_dataset('json', data_files="./temp.json", features=datasets.Features({
'ref1': datasets.Value('string'),
'ref2': datasets... | value:https://api.github.com/repos/huggingface/datasets/issues/7116/comments | value:I_kwDODunzps6TjXqh | value:closed | value:3 | value:2024-09-03T10:18:23Z | value:https://api.github.com/repos/huggingface/datasets/issues/7116/labels{/name} | value:7116 | json:{"login": "ljw20180420", "id": 38550511, "node_id": "MDQ6VXNlcjM4NTUwNTEx", "avatar_url": "https://avatars.githubusercontent.com/u/38550511?v=4", "gravatar_id": "", "url": "https://api.github.com/users/ljw20180420", "html_url": "https://github.com/ljw20180420", "followers_url": "https://api.github.com/users/ljw201... | true | ||||||||
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Code:
`!pipuninstall -y pyarrow
!pip install --no-cache-dir pyarrow
!pip uninstall -y pyarrow
!pip install pyarrow --no-cache-dir
!pip install --upgrade datasets transformers pyarrow
!pip install pyarrow.parquet
! pip install pyarrow-core libparquet
!pip install pyarrow --no-ca... | value:https://api.github.com/repos/huggingface/datasets/issues/7115/comments | value:I_kwDODunzps6TiwtG | value:closed | value:1 | value:2024-09-10T06:51:08Z | value:https://api.github.com/repos/huggingface/datasets/issues/7115/labels{/name} | value:7115 | json:{"login": "ghost", "id": 10137, "node_id": "MDQ6VXNlcjEwMTM3", "avatar_url": "https://avatars.githubusercontent.com/u/10137?v=4", "gravatar_id": "", "url": "https://api.github.com/users/ghost", "html_url": "https://github.com/ghost", "followers_url": "https://api.github.com/users/ghost/followers", "following_url":... | true | ||||||||
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Fix #7111. | value:https://api.github.com/repos/huggingface/datasets/issues/7114/comments | value:PR_kwDODunzps5404mO | value:closed | value:2 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/7114", "html_url": "https://github.com/huggingface/datasets/pull/7114", "diff_url": "https://github.com/huggingface/datasets/pull/7114.diff", "patch_url": "https://github.com/huggingface/datasets/pull/7114.patch", "merged_at": "2024-08-20T09:02:35Z"} | value:2024-08-20T09:09:27Z | value:https://api.github.com/repos/huggingface/datasets/issues/7114/labels{/name} | value:7114 | json:{"login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/us... | value:False | true | |||||||||
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Hi there,
I use streaming and interleaving to combine multiple datasets saved in jsonl files. The size of dataset can vary (from 100ish to 100k-ish). I use dataset.map() and a big batch size to reduce the IO cost. It was working fine with datasets-2.16.1 but this problem shows up after ... | value:https://api.github.com/repos/huggingface/datasets/issues/7113/comments | value:I_kwDODunzps6ThfSI | value:closed | value:1 | value:2024-08-26T04:24:11Z | value:https://api.github.com/repos/huggingface/datasets/issues/7113/labels{/name} | value:7113 | json:{"login": "memray", "id": 4197249, "node_id": "MDQ6VXNlcjQxOTcyNDk=", "avatar_url": "https://avatars.githubusercontent.com/u/4197249?v=4", "gravatar_id": "", "url": "https://api.github.com/users/memray", "html_url": "https://github.com/memray", "followers_url": "https://api.github.com/users/memray/followers", "fol... | true | ||||||||
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!pip install accelerate>=0.16.0 torchvision transformers>=4.25.1 datasets>=2.19.1 ftfy tensorboard Jinja2 peft==0.7.0
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflic... | value:https://api.github.com/repos/huggingface/datasets/issues/7112/comments | value:I_kwDODunzps6ThZLk | value:open | value:2 | value:2024-09-20T15:30:03Z | value:https://api.github.com/repos/huggingface/datasets/issues/7112/labels{/name} | value:7112 | json:{"login": "SoumyaMB10", "id": 174590283, "node_id": "U_kgDOCmgJSw", "avatar_url": "https://avatars.githubusercontent.com/u/174590283?v=4", "gravatar_id": "", "url": "https://api.github.com/users/SoumyaMB10", "html_url": "https://github.com/SoumyaMB10", "followers_url": "https://api.github.com/users/SoumyaMB10/foll... | true | |||||||||||
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```
Run uv pip install --system "datasets[tests_numpy2] @ ."
Resolved 150 packages in 4.42s
error: Failed to prepare distributions
Caused by: Failed to fetch w... | value:https://api.github.com/repos/huggingface/datasets/issues/7111/comments | value:I_kwDODunzps6ThDgF | value:closed | value:2 | value:2024-08-21T05:05:36Z | value:https://api.github.com/repos/huggingface/datasets/issues/7111/labels{/name} | value:7111 | json:{"login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/us... | true | |||||||
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- https://github.com/huggingface/dataset-viewer/issues/3025
Note that a recent change in the Hub returns dataset info for gated datasets and unauthenticated users, instead of raising a `GatedRepoError` as before. See:
- https://github.c... | value:https://api.github.com/repos/huggingface/datasets/issues/7110/comments | value:PR_kwDODunzps54zz3r | value:closed | value:4 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/7110", "html_url": "https://github.com/huggingface/datasets/pull/7110", "diff_url": "https://github.com/huggingface/datasets/pull/7110.diff", "patch_url": "https://github.com/huggingface/datasets/pull/7110.patch", "merged_at": "2024-08-20T09:14:34Z"} | value:2024-08-20T15:11:35Z | value:https://api.github.com/repos/huggingface/datasets/issues/7110/labels{/name} | value:7110 | json:{"login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/us... | value:False | true | |||||||||
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We should remove the dead code and properly handle this case: currently we are raising a `C... | value:https://api.github.com/repos/huggingface/datasets/issues/7109/comments | value:I_kwDODunzps6TbJko | value:closed | value:0 | value:2024-08-20T09:14:36Z | value:https://api.github.com/repos/huggingface/datasets/issues/7109/labels{/name} | value:7109 | json:{"login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/us... | true | |||||||
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This issue is also reported here:
https://discuss.huggingface.co/t/create-a-new-dataset-repository-broken-page/102644
This page is broken.
https://huggingface.co/new-dataset
I fill in the form with my text, and click `Create Dataset`.
![Screenshot 2024-08-16 at 15 55 37](https://g... | value:https://api.github.com/repos/huggingface/datasets/issues/7108/comments | value:I_kwDODunzps6TQ1xv | value:closed | value:4 | value:2024-08-19T13:21:12Z | value:https://api.github.com/repos/huggingface/datasets/issues/7108/labels{/name} | value:7108 | json:{"login": "neoneye", "id": 147971, "node_id": "MDQ6VXNlcjE0Nzk3MQ==", "avatar_url": "https://avatars.githubusercontent.com/u/147971?v=4", "gravatar_id": "", "url": "https://api.github.com/users/neoneye", "html_url": "https://github.com/neoneye", "followers_url": "https://api.github.com/users/neoneye/followers", "f... | true | ||||||||
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`eval_set = datasets.load_dataset("tatsu-lab/alpaca_eval", "alpaca_eval_gpt4_baseline", trust_remote_code=True)`
used to work till 2.20.0 but doesn't work in 2.21.0
In 2.20.0:
![Screenshot 2024-08-16 at 3 57 10 PM](https://github.com/user-attachments/assets/0516489b-8187-486d-bee8-88af... | value:https://api.github.com/repos/huggingface/datasets/issues/7107/comments | value:I_kwDODunzps6TP_68 | value:closed | value:4 | value:2024-08-18T09:28:43Z | value:https://api.github.com/repos/huggingface/datasets/issues/7107/labels{/name} | value:7107 | json:{"login": "anjor", "id": 1911631, "node_id": "MDQ6VXNlcjE5MTE2MzE=", "avatar_url": "https://avatars.githubusercontent.com/u/1911631?v=4", "gravatar_id": "", "url": "https://api.github.com/users/anjor", "html_url": "https://github.com/anjor", "followers_url": "https://api.github.com/users/anjor/followers", "followi... | true | ||||||||
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Note that `dtype` is usually used for NumPy data types ("int64", "float32",...): see `Value.dtype`.
However, `LargeList` attribute (like `Sequence.feature`) expects a `FeatureType` instead.
With this renaming:
- we avoid confusion about the expected type ... | value:https://api.github.com/repos/huggingface/datasets/issues/7106/comments | value:PR_kwDODunzps54jntM | value:closed | value:2 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/7106", "html_url": "https://github.com/huggingface/datasets/pull/7106", "diff_url": "https://github.com/huggingface/datasets/pull/7106.diff", "patch_url": "https://github.com/huggingface/datasets/pull/7106.patch", "merged_at": "2024-08-26T04:26:02Z"} | value:2024-08-26T04:31:59Z | value:https://api.github.com/repos/huggingface/datasets/issues/7106/labels{/name} | value:7106 | json:{"login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/us... | value:False | true | |||||||||
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- `datasets` cache_dir is still used for:
- caching datasets as Arrow files (that back `Dataset` objects)
- extracted archives, uncompressed files
- files downloaded via http (datasets with scripts)
- I removed code that were made for http f... | value:https://api.github.com/repos/huggingface/datasets/issues/7105/comments | value:PR_kwDODunzps54eZ0D | value:closed | value:7 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/7105", "html_url": "https://github.com/huggingface/datasets/pull/7105", "diff_url": "https://github.com/huggingface/datasets/pull/7105.diff", "patch_url": "https://github.com/huggingface/datasets/pull/7105.patch", "merged_at": "2024-08-21T15:47:15Z"} | value:2024-09-12T04:36:08Z | value:https://api.github.com/repos/huggingface/datasets/issues/7105/labels{/name} | value:7105 | json:{"login": "lhoestq", "id": 42851186, "node_id": "MDQ6VXNlcjQyODUxMTg2", "avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4", "gravatar_id": "", "url": "https://api.github.com/users/lhoestq", "html_url": "https://github.com/lhoestq", "followers_url": "https://api.github.com/users/lhoestq/followers"... | value:False | true | |||||||||
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Currently, some args do not appear in the docs because they are not properly parsed due to the lack of their type (between parentheses). | value:https://api.github.com/repos/huggingface/datasets/issues/7103/comments | value:PR_kwDODunzps54clrp | value:closed | value:2 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/7103", "html_url": "https://github.com/huggingface/datasets/pull/7103", "diff_url": "https://github.com/huggingface/datasets/pull/7103.diff", "patch_url": "https://github.com/huggingface/datasets/pull/7103.patch", "merged_at": "2024-08-15T10:33:30Z"} | value:2024-08-16T09:18:29Z | value:https://api.github.com/repos/huggingface/datasets/issues/7103/labels{/name} | value:7103 | json:{"login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/us... | value:False | true |
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