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Right now, this... | value:https://api.github.com/repos/huggingface/datasets/issues/7312/comments | value:PR_kwDODunzps6EbwNN | value:open | value:0 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/7312", "html_url": "https://github.com/huggingface/datasets/pull/7312", "diff_url": "https://github.com/huggingface/datasets/pull/7312.diff", "patch_url": "https://github.com/huggingface/datasets/pull/7312.patch", "merged_at": null} | value:2024-12-08T10:27:31Z | value:https://api.github.com/repos/huggingface/datasets/issues/7312/labels{/name} | value:7312 | json:{"login": "TParcollet", "id": 11910731, "node_id": "MDQ6VXNlcjExOTEwNzMx", "avatar_url": "https://avatars.githubusercontent.com/u/11910731?v=4", "gravatar_id": "", "url": "https://api.github.com/users/TParcollet", "html_url": "https://github.com/TParcollet", "followers_url": "https://api.github.com/users/TParcolle... | value:False | true | |||||||||||
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The issue is related to ray data https://github.com/ray-project/ray/issues/49008 which it requires to check if the dataset is the original one just after `load_dataset` and parquet files are already available on hf hub.
The solution used now is to get the dataset name, config and split, ... | value:https://api.github.com/repos/huggingface/datasets/issues/7311/comments | value:I_kwDODunzps6ibD2G | value:open | value:2 | value:2025-01-09T10:48:02Z | value:https://api.github.com/repos/huggingface/datasets/issues/7311/labels{/name} | value:7311 | json:{"login": "npuichigo", "id": 11533479, "node_id": "MDQ6VXNlcjExNTMzNDc5", "avatar_url": "https://avatars.githubusercontent.com/u/11533479?v=4", "gravatar_id": "", "url": "https://api.github.com/users/npuichigo", "html_url": "https://github.com/npuichigo", "followers_url": "https://api.github.com/users/npuichigo/fo... | true | |||||||||||
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For most large speech dataset, we do not wish to generate hundreds of millions of small audio samples. Instead, it is quite common to provide larger audio files with frame offset (soundfile start and stop arguments). We should be able to pass these arguments to Audio() (column ID correspondin... | value:https://api.github.com/repos/huggingface/datasets/issues/7310/comments | value:I_kwDODunzps6iaZ2L | value:open | value:2 | value:2024-12-09T21:09:46Z | value:https://api.github.com/repos/huggingface/datasets/issues/7310/labels{/name} | value:7310 | json:{"login": "TParcollet", "id": 11910731, "node_id": "MDQ6VXNlcjExOTEwNzMx", "avatar_url": "https://avatars.githubusercontent.com/u/11910731?v=4", "gravatar_id": "", "url": "https://api.github.com/users/TParcollet", "html_url": "https://github.com/TParcollet", "followers_url": "https://api.github.com/users/TParcolle... | true | |||||||||||
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Currently, the Hugging Face Dataset Viewer automatically interprets dataset fields for datasets created with the `datasets` library. However, for datasets pushed directly via `git`, the Viewer:
- Defaults to generic columns like `label` with `null` values if no explicit mapping is p... | value:https://api.github.com/repos/huggingface/datasets/issues/7315/comments | value:I_kwDODunzps6itILT | value:open | value:13 | value:2024-12-11T11:05:22Z | value:https://api.github.com/repos/huggingface/datasets/issues/7315/labels{/name} | value:7315 | json:{"login": "diarray-hub", "id": 114512099, "node_id": "U_kgDOBtNQ4w", "avatar_url": "https://avatars.githubusercontent.com/u/114512099?v=4", "gravatar_id": "", "url": "https://api.github.com/users/diarray-hub", "html_url": "https://github.com/diarray-hub", "followers_url": "https://api.github.com/users/diarray-hub/... | true | |||||||||||
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I also added the `filters` config parameter to support filtering with predicate pushdown, e.g.
```python
from datasets import load_dataset
filters = [('problem_source', '==', 'math')]
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When creating a dataset from a list of datapoints, information is lost of the individual items.
Specifically, when creating a dataset from a list of datapoints (from another dataset). Either the datatype is lost or the values are lost. See examples below.
-> What is the best way to ... | value:https://api.github.com/repos/huggingface/datasets/issues/7306/comments | value:I_kwDODunzps6iHPfo | value:open | value:0 | value:2024-12-05T09:09:38Z | value:https://api.github.com/repos/huggingface/datasets/issues/7306/labels{/name} | value:7306 | json:{"login": "ai-nikolai", "id": 9797804, "node_id": "MDQ6VXNlcjk3OTc4MDQ=", "avatar_url": "https://avatars.githubusercontent.com/u/9797804?v=4", "gravatar_id": "", "url": "https://api.github.com/users/ai-nikolai", "html_url": "https://github.com/ai-nikolai", "followers_url": "https://api.github.com/users/ai-nikolai/... | true | |||||||||||
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The `Build documentation / build / build_main_documentation (push)` job is consistently failing during the "Syncing repository" step. The error occurs when attempting to determine the default branch name, resulting in "Bad credentials" errors.
### Steps to reproduce the bug
1. Trigger the ... | value:https://api.github.com/repos/huggingface/datasets/issues/7305/comments | value:I_kwDODunzps6h4XTD | value:open | value:2 | value:2025-01-08T22:38:14Z | value:https://api.github.com/repos/huggingface/datasets/issues/7305/labels{/name} | value:7305 | json:{"login": "ruidazeng", "id": 31152346, "node_id": "MDQ6VXNlcjMxMTUyMzQ2", "avatar_url": "https://avatars.githubusercontent.com/u/31152346?v=4", "gravatar_id": "", "url": "https://api.github.com/users/ruidazeng", "html_url": "https://github.com/ruidazeng", "followers_url": "https://api.github.com/users/ruidazeng/fo... | true | |||||||||||
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Cannot load the dataset https://huggingface.co/datasets/billion-word-benchmark/lm1b
### Steps to reproduce the bug
`dataset = datasets.load_dataset('lm1b', split=split)`
### Expected behavior
`Traceback (most recent call last):
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- remove dataset script logic
- add streaming info
- clearer download and prepare steps | value:https://api.github.com/repos/huggingface/datasets/issues/7301/comments | value:PR_kwDODunzps6DdYLZ | value:closed | value:1 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/7301", "html_url": "https://github.com/huggingface/datasets/pull/7301", "diff_url": "https://github.com/huggingface/datasets/pull/7301.diff", "patch_url": "https://github.com/huggingface/datasets/pull/7301.patch", "merged_at": "2024-11-29T10:31:40Z"} | value:2024-11-29T10:31:43Z | value:https://api.github.com/repos/huggingface/datasets/issues/7301/labels{/name} | value:7301 | 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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```
=========================== short test summary info ===========================
ERROR tests/test_search.py - AttributeError: `np.float_` was removed in the NumPy 2.0 release. Use `np.float64` instead.
ERROR tests/test_search.py - Attr... | value:https://api.github.com/repos/huggingface/datasets/issues/7300/comments | value:PR_kwDODunzps6Dcba8 | value:closed | value:2 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/7300", "html_url": "https://github.com/huggingface/datasets/pull/7300", "diff_url": "https://github.com/huggingface/datasets/pull/7300.diff", "patch_url": "https://github.com/huggingface/datasets/pull/7300.patch", "merged_at": "2024-12-03T14:24:42Z"} | value:2024-12-03T14:36:56Z | value:https://api.github.com/repos/huggingface/datasets/issues/7300/labels{/name} | value:7300 | json:{"login": "ruidazeng", "id": 31152346, "node_id": "MDQ6VXNlcjMxMTUyMzQ2", "avatar_url": "https://avatars.githubusercontent.com/u/31152346?v=4", "gravatar_id": "", "url": "https://api.github.com/users/ruidazeng", "html_url": "https://github.com/ruidazeng", "followers_url": "https://api.github.com/users/ruidazeng/fo... | value:False | true | |||||||||
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I'm using the Hugging Face datasets library to load images in batch and would like to apply a torchvision transform to solve the inconsistent image sizes in the dataset and apply some on the fly image augmentation. I can just think about using the collate_fn, but seems quite inefficient. ... | value:https://api.github.com/repos/huggingface/datasets/issues/7299/comments | value:I_kwDODunzps6gqDVL | value:open | value:0 | value:2024-11-26T16:53:53Z | value:https://api.github.com/repos/huggingface/datasets/issues/7299/labels{/name} | value:7299 | json:{"login": "fabiozappo", "id": 46443190, "node_id": "MDQ6VXNlcjQ2NDQzMTkw", "avatar_url": "https://avatars.githubusercontent.com/u/46443190?v=4", "gravatar_id": "", "url": "https://api.github.com/users/fabiozappo", "html_url": "https://github.com/fabiozappo", "followers_url": "https://api.github.com/users/fabiozapp... | true | |||||||||||
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i'm unable to load my dataset for [controlnet training](https://github.com/huggingface/diffusers/blob/074e12358bc17e7dbe111ea4f62f05dbae8a49d5/examples/controlnet/train_controlnet.py#L606) using load_dataset(). however, load_from_disk() seems to work?
would appreciate if someone can explai... | value:https://api.github.com/repos/huggingface/datasets/issues/7298/comments | value:I_kwDODunzps6gli7o | value:open | value:0 | value:2024-11-26T10:50:18Z | value:https://api.github.com/repos/huggingface/datasets/issues/7298/labels{/name} | value:7298 | json:{"login": "sarahahtee", "id": 81594044, "node_id": "MDQ6VXNlcjgxNTk0MDQ0", "avatar_url": "https://avatars.githubusercontent.com/u/81594044?v=4", "gravatar_id": "", "url": "https://api.github.com/users/sarahahtee", "html_url": "https://github.com/sarahahtee", "followers_url": "https://api.github.com/users/sarahahte... | true | |||||||||||
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`IterableDataset.shard()` has the wrong typing for its return as `"Dataset"`. It should be `"IterableDataset"`. Makes my IDE unhappy.
### Steps to reproduce the bug
look at [the source code](https://github.com/huggingface/datasets/blob/main/src/datasets/iterable_dataset.py#L2668)?
### Exp... | value:https://api.github.com/repos/huggingface/datasets/issues/7297/comments | value:I_kwDODunzps6f-j7W | value:closed | value:1 | value:2024-12-03T14:27:27Z | value:https://api.github.com/repos/huggingface/datasets/issues/7297/labels{/name} | value:7297 | json:{"login": "ysngshn", "id": 47225236, "node_id": "MDQ6VXNlcjQ3MjI1MjM2", "avatar_url": "https://avatars.githubusercontent.com/u/47225236?v=4", "gravatar_id": "", "url": "https://api.github.com/users/ysngshn", "html_url": "https://github.com/ysngshn", "followers_url": "https://api.github.com/users/ysngshn/followers"... | true | ||||||||
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Note that this bug is only triggered when `streaming=True`. #5459 introduced always calling fsspec with `client_kwargs={"requote_redirect_url": False}`, which seems to have incompatibility issues even in the newest versions.
Analysis of what's happening:
1. `datasets` passes the `cli... | value:https://api.github.com/repos/huggingface/datasets/issues/7295/comments | value:I_kwDODunzps6fQ4k4 | value:open | value:0 | value:2024-11-19T13:01:53Z | value:https://api.github.com/repos/huggingface/datasets/issues/7295/labels{/name} | value:7295 | json:{"login": "casper-hansen", "id": 27340033, "node_id": "MDQ6VXNlcjI3MzQwMDMz", "avatar_url": "https://avatars.githubusercontent.com/u/27340033?v=4", "gravatar_id": "", "url": "https://api.github.com/users/casper-hansen", "html_url": "https://github.com/casper-hansen", "followers_url": "https://api.github.com/users/... | true | |||||||||||
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Cannot load the dataset https://huggingface.co/datasets/OpenMol/PubChemSFT
### Steps to reproduce the bug
```
from datasets import load_dataset
dataset = load_dataset('OpenMol/PubChemSFT')
```
### Expected behavior
```
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I tried to add input_ids to dataset with map(), and I used the return_tensors='pt', but why I got the callback with the type of List？
### Steps to reproduce the bug
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Hi, I'm encountered a small issue when saving datasets that led to the saving taking up to multiple hours.
Specifically, [`Dataset.save_to_disk`](https://huggingface.co/docs/datasets/main/en/package_reference/main_classes#datasets.Dataset.save_to_disk) is a lot slower when using `num_proc>1... | value:https://api.github.com/repos/huggingface/datasets/issues/7290/comments | value:I_kwDODunzps6eaBNQ | value:open | value:6 | value:2026-10-23T04:26:22Z | value:https://api.github.com/repos/huggingface/datasets/issues/7290/labels{/name} | value:7290 | json:{"login": "JohannesAck", "id": 22243463, "node_id": "MDQ6VXNlcjIyMjQzNDYz", "avatar_url": "https://avatars.githubusercontent.com/u/22243463?v=4", "gravatar_id": "", "url": "https://api.github.com/users/JohannesAck", "html_url": "https://github.com/JohannesAck", "followers_url": "https://api.github.com/users/Johann... | true | ||||||||||
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In [my dataset](https://huggingface.co/datasets/speedcell4/opus-unigram2), there is a column called `lang2`, and there are 94 different classes in total, but the viewer says there are 83 values only. This issue only arises in the `train` split. The total number of values is also 94 in the ... | value:https://api.github.com/repos/huggingface/datasets/issues/7289/comments | value:I_kwDODunzps6d1ZIz | value:closed | value:1 | value:2024-11-13T13:02:25Z | value:https://api.github.com/repos/huggingface/datasets/issues/7289/labels{/name} | value:7289 | json:{"login": "speedcell4", "id": 3585459, "node_id": "MDQ6VXNlcjM1ODU0NTk=", "avatar_url": "https://avatars.githubusercontent.com/u/3585459?v=4", "gravatar_id": "", "url": "https://api.github.com/users/speedcell4", "html_url": "https://github.com/speedcell4", "followers_url": "https://api.github.com/users/speedcell4/... | true | ||||||||
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As far as I understand, automated construction of splits for hub datasets is currently based on either file names or directory structure ([as described here](https://huggingface.co/docs/datasets/en/repository_structure))
It would seem to be pretty useful to also allow splits to be based ... | value:https://api.github.com/repos/huggingface/datasets/issues/7287/comments | value:I_kwDODunzps6dxWE5 | value:open | value:3 | value:2024-11-19T14:37:02Z | value:https://api.github.com/repos/huggingface/datasets/issues/7287/labels{/name} | value:7287 | 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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https://github.com/huggingface/datasets/pull/6464 mentions a `num_proc` param while loading dataset from disk, but can't find that in the documentation and code anywhere
### Motivation
Make loading large datasets from disk faster
### Your contribution
Happy to contribute if given pointers | value:https://api.github.com/repos/huggingface/datasets/issues/7286/comments | value:I_kwDODunzps6drNcH | value:closed | value:0 | value:2024-11-09T16:14:37Z | value:https://api.github.com/repos/huggingface/datasets/issues/7286/labels{/name} | value:7286 | json:{"login": "unography", "id": 5240449, "node_id": "MDQ6VXNlcjUyNDA0NDk=", "avatar_url": "https://avatars.githubusercontent.com/u/5240449?v=4", "gravatar_id": "", "url": "https://api.github.com/users/unography", "html_url": "https://github.com/unography", "followers_url": "https://api.github.com/users/unography/foll... | true | ||||||||
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(only concern would be on effect on type checking with custom feature types that aren't covered by FeatureType?) | value:https://api.github.com/repos/huggingface/datasets/issues/7284/comments | value:PR_kwDODunzps6BVUSh | value:closed | value:2 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/7284", "html_url": "https://github.com/huggingface/datasets/pull/7284", "diff_url": "https://github.com/huggingface/datasets/pull/7284.diff", "patch_url": "https://github.com/huggingface/datasets/pull/7284.patch", "merged_at": "2024-11-21T16:09:47Z"} | value:2024-11-21T16:09:47Z | value:https://api.github.com/repos/huggingface/datasets/issues/7284/labels{/name} | value:7284 | 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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Resolves #7123. | value:https://api.github.com/repos/huggingface/datasets/issues/7283/comments | value:PR_kwDODunzps6BQUgH | value:open | value:0 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/7283", "html_url": "https://github.com/huggingface/datasets/pull/7283", "diff_url": "https://github.com/huggingface/datasets/pull/7283.diff", "patch_url": "https://github.com/huggingface/datasets/pull/7283.patch", "merged_at": null} | value:2024-11-08T00:44:47Z | value:https://api.github.com/repos/huggingface/datasets/issues/7283/labels{/name} | value:7283 | 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... | value:False | true | |||||||||||
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Trying to download only the 'validation' split of my dataset; instead hit the error `datasets.exceptions.ExpectedMoreSplitsError`.
Appears to be the same undesired behavior as reported in [#6939](https://github.com/huggingface/datasets/issues/6939), but with `data_files`, not `data_dir`.
... | value:https://api.github.com/repos/huggingface/datasets/issues/7282/comments | value:I_kwDODunzps6det9j | value:open | value:0 | value:2024-11-07T20:15:42Z | value:https://api.github.com/repos/huggingface/datasets/issues/7282/labels{/name} | value:7282 | json:{"login": "meg-huggingface", "id": 90473723, "node_id": "MDQ6VXNlcjkwNDczNzIz", "avatar_url": "https://avatars.githubusercontent.com/u/90473723?v=4", "gravatar_id": "", "url": "https://api.github.com/users/meg-huggingface", "html_url": "https://github.com/meg-huggingface", "followers_url": "https://api.github.com/... | true | |||||||||||
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I get a FileNotFoundError:
<img width="944" alt="image" src="https://github.com/user-attachments/assets/1336bc08-06f6-4682-a3c0-071ff65efa87">
### Steps to reproduce the bug
See screenshot.
### Expected behavior
I want to load one audiofile from the dataset.
### Envi... | value:https://api.github.com/repos/huggingface/datasets/issues/7281/comments | value:I_kwDODunzps6dYHzj | value:open | value:1 | value:2024-11-07T09:22:43Z | value:https://api.github.com/repos/huggingface/datasets/issues/7281/labels{/name} | value:7281 | json:{"login": "MichielBontenbal", "id": 37507786, "node_id": "MDQ6VXNlcjM3NTA3Nzg2", "avatar_url": "https://avatars.githubusercontent.com/u/37507786?v=4", "gravatar_id": "", "url": "https://api.github.com/users/MichielBontenbal", "html_url": "https://github.com/MichielBontenbal", "followers_url": "https://api.github.c... | true | |||||||||||
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Whenever downloading a full dataset, some files might be corrupted (either at the source or from downloading corruption).
However the errors often only le... | value:https://api.github.com/repos/huggingface/datasets/issues/7280/comments | value:I_kwDODunzps6dWtp1 | value:open | value:7 | value:2026-11-06T21:23:54Z | value:https://api.github.com/repos/huggingface/datasets/issues/7280/labels{/name} | value:7280 | json:{"login": "elisa-aleman", "id": 37046039, "node_id": "MDQ6VXNlcjM3MDQ2MDM5", "avatar_url": "https://avatars.githubusercontent.com/u/37046039?v=4", "gravatar_id": "", "url": "https://api.github.com/users/elisa-aleman", "html_url": "https://github.com/elisa-aleman", "followers_url": "https://api.github.com/users/eli... | true | |||||||||||
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Hello there,
I noticed that there are two ways to combine multiple datasets: Either through `datasets.concatenate_datasets` or `datasets.interleave_datasets`. However, to my knowledge (please correct me if I am wrong) both approaches require the datasets that are combined to have the same fea... | value:https://api.github.com/repos/huggingface/datasets/issues/7279/comments | value:PR_kwDODunzps6A8pTJ | value:open | value:0 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/7279", "html_url": "https://github.com/huggingface/datasets/pull/7279", "diff_url": "https://github.com/huggingface/datasets/pull/7279.diff", "patch_url": "https://github.com/huggingface/datasets/pull/7279.patch", "merged_at": null} | value:2024-11-05T15:40:50Z | value:https://api.github.com/repos/huggingface/datasets/issues/7279/labels{/name} | value:7279 | json:{"login": "TimCares", "id": 96243987, "node_id": "U_kgDOBbyREw", "avatar_url": "https://avatars.githubusercontent.com/u/96243987?v=4", "gravatar_id": "", "url": "https://api.github.com/users/TimCares", "html_url": "https://github.com/TimCares", "followers_url": "https://api.github.com/users/TimCares/followers", "f... | value:False | true | |||||||||||
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cc @mfarre | value:https://api.github.com/repos/huggingface/datasets/issues/7277/comments | value:PR_kwDODunzps6AyB7O | value:closed | value:1 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/7277", "html_url": "https://github.com/huggingface/datasets/pull/7277", "diff_url": "https://github.com/huggingface/datasets/pull/7277.diff", "patch_url": "https://github.com/huggingface/datasets/pull/7277.patch", "merged_at": "2024-11-04T17:05:06Z"} | value:2024-11-04T17:05:06Z | value:https://api.github.com/repos/huggingface/datasets/issues/7277/labels{/name} | value:7277 | json:{"login": "NielsRogge", "id": 48327001, "node_id": "MDQ6VXNlcjQ4MzI3MDAx", "avatar_url": "https://avatars.githubusercontent.com/u/48327001?v=4", "gravatar_id": "", "url": "https://api.github.com/users/NielsRogge", "html_url": "https://github.com/NielsRogge", "followers_url": "https://api.github.com/users/NielsRogg... | value:False | true | |||||||||
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Accessing audio dataset value throws `Format not recognised error`
### Steps to reproduce the bug
**code:**
```py
from datasets import load_dataset
dataset = load_dataset("fawazahmed0/bug-audio")
for data in dataset["train"]:
print(data)
```
**output:**
```bash
(... | value:https://api.github.com/repos/huggingface/datasets/issues/7276/comments | value:I_kwDODunzps6c3993 | value:open | value:3 | value:2024-11-09T18:51:52Z | value:https://api.github.com/repos/huggingface/datasets/issues/7276/labels{/name} | value:7276 | json:{"login": "fawazahmed0", "id": 20347013, "node_id": "MDQ6VXNlcjIwMzQ3MDEz", "avatar_url": "https://avatars.githubusercontent.com/u/20347013?v=4", "gravatar_id": "", "url": "https://api.github.com/users/fawazahmed0", "html_url": "https://github.com/fawazahmed0", "followers_url": "https://api.github.com/users/fawaza... | true | |||||||||||
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I am performing two operations I see on a hugging face tutorial (Fine-tune a language model), and I am defining every aspect inside the mapped functions, also some imports of the library because it doesnt identify anything not defined outside that function where the dataset elements are bein... | value:https://api.github.com/repos/huggingface/datasets/issues/7275/comments | value:I_kwDODunzps6c3MJ1 | value:open | value:0 | value:2024-11-04T03:01:44Z | value:https://api.github.com/repos/huggingface/datasets/issues/7275/labels{/name} | value:7275 | json:{"login": "santiagobp99", "id": 46941974, "node_id": "MDQ6VXNlcjQ2OTQxOTc0", "avatar_url": "https://avatars.githubusercontent.com/u/46941974?v=4", "gravatar_id": "", "url": "https://api.github.com/users/santiagobp99", "html_url": "https://github.com/santiagobp99", "followers_url": "https://api.github.com/users/san... | true | |||||||||||
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Issue: #7037
Related PRs:
#7039 #7181 | value:https://api.github.com/repos/huggingface/datasets/issues/7273/comments | value:PR_kwDODunzps6An6n8 | value:closed | value:2 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/7273", "html_url": "https://github.com/huggingface/datasets/pull/7273", "diff_url": "https://github.com/huggingface/datasets/pull/7273.diff", "patch_url": "https://github.com/huggingface/datasets/pull/7273.patch", "merged_at": "2024-11-18T11:25:01Z"} | value:2024-11-18T11:25:01Z | value:https://api.github.com/repos/huggingface/datasets/issues/7273/labels{/name} | value:7273 | 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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I try to use a dataset with streaming=True, the issue I have is that the RAM usage becomes higher and higher until it is no longer sustainable.
I understand that huggingface store data in ram during the streaming, and more worker in dataloader there are, more a lot of shard will be stor... | value:https://api.github.com/repos/huggingface/datasets/issues/7269/comments | value:I_kwDODunzps6ckunz | value:open | value:17 | value:2025-12-19T07:48:08Z | value:https://api.github.com/repos/huggingface/datasets/issues/7269/labels{/name} | value:7269 | 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 data saved with save_to_disk. The data is big (700Gb). When I try loading it, the only option is load_from_disk, and this function copies the data to a tmp directory, causing me to run out of disk space. Is there an alternative solution to that?
### Steps to reproduce the bug
when t... | value:https://api.github.com/repos/huggingface/datasets/issues/7268/comments | value:I_kwDODunzps6cj7jv | value:open | value:3 | value:2025-07-01T08:42:17Z | value:https://api.github.com/repos/huggingface/datasets/issues/7268/labels{/name} | value:7268 | json:{"login": "ghaith-mq", "id": 71670961, "node_id": "MDQ6VXNlcjcxNjcwOTYx", "avatar_url": "https://avatars.githubusercontent.com/u/71670961?v=4", "gravatar_id": "", "url": "https://api.github.com/users/ghaith-mq", "html_url": "https://github.com/ghaith-mq", "followers_url": "https://api.github.com/users/ghaith-mq/fo... | true | |||||||||||
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Hi,
Decord is a dev dependency not maintained since couple years.
It does not have an ARM package available rendering it uninstallable on non-intel based macs
Suggestion is to move to eva-decord (https://github.com/georgia-tech-db/eva-decord) which doesnt have this problem.
Ha... | value:https://api.github.com/repos/huggingface/datasets/issues/7267/comments | value:I_kwDODunzps6cjQ6t | value:open | value:1 | value:2024-11-04T22:18:06Z | value:https://api.github.com/repos/huggingface/datasets/issues/7267/labels{/name} | value:7267 | json:{"login": "mayankagarwals", "id": 39498938, "node_id": "MDQ6VXNlcjM5NDk4OTM4", "avatar_url": "https://avatars.githubusercontent.com/u/39498938?v=4", "gravatar_id": "", "url": "https://api.github.com/users/mayankagarwals", "html_url": "https://github.com/mayankagarwals", "followers_url": "https://api.github.com/use... | true | |||||||||||
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After waiting for 2 hours, it still presents ``The dataset viewer should be available soon. Please retry later.''
### Steps to reproduce the bug
dataset link: https://huggingface.co/datasets/BryanW/HI_EDIT
### Expected behavior
Present the dataset viewer.
### Environment info
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I'm training the flux controlnet. The train_dataset.map() takes long time to finish. However, when I killed one training process and want to restart a new training with the same dataset. I can't reuse the mapped result even I defined the cache dir for the dataset.
with accelerator.main_pr... | value:https://api.github.com/repos/huggingface/datasets/issues/7261/comments | value:I_kwDODunzps6cMdJ4 | value:open | value:2 | value:2025-03-24T13:27:55Z | value:https://api.github.com/repos/huggingface/datasets/issues/7261/labels{/name} | value:7261 | json:{"login": "zhangn77", "id": 43033959, "node_id": "MDQ6VXNlcjQzMDMzOTU5", "avatar_url": "https://avatars.githubusercontent.com/u/43033959?v=4", "gravatar_id": "", "url": "https://api.github.com/users/zhangn77", "html_url": "https://github.com/zhangn77", "followers_url": "https://api.github.com/users/zhangn77/follow... | true | |||||||||||
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I tried following ways, the cache can't be disabled.
I got 2T data, but I also got more than 2T cache file. I got pressure on storage. I need to diable cache or cleaned immediately after processed. Following ways are all not working, please give some help!
```python
from datasets i... | value:https://api.github.com/repos/huggingface/datasets/issues/7260/comments | value:I_kwDODunzps6cKj7N | value:open | value:1 | value:2024-12-11T09:04:52Z | value:https://api.github.com/repos/huggingface/datasets/issues/7260/labels{/name} | value:7260 | json:{"login": "charliedream1", "id": 15007828, "node_id": "MDQ6VXNlcjE1MDA3ODI4", "avatar_url": "https://avatars.githubusercontent.com/u/15007828?v=4", "gravatar_id": "", "url": "https://api.github.com/users/charliedream1", "html_url": "https://github.com/charliedream1", "followers_url": "https://api.github.com/users/... | true | |||||||||||
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If the user provides a `Features` type value to `datasets.Dataset` with members having `Array2D` with a value for `dtype`, it is not respected during `with_format("numpy")` which should return a `np.array` with `dtype` that the user provided for `Array2D`. It seems for floats, it will be set... | value:https://api.github.com/repos/huggingface/datasets/issues/7254/comments | value:I_kwDODunzps6b76mU | value:open | value:1 | value:2024-10-26T22:07:37Z | value:https://api.github.com/repos/huggingface/datasets/issues/7254/labels{/name} | value:7254 | json:{"login": "Akhil-CM", "id": 97193607, "node_id": "U_kgDOBcsOhw", "avatar_url": "https://avatars.githubusercontent.com/u/97193607?v=4", "gravatar_id": "", "url": "https://api.github.com/users/Akhil-CM", "html_url": "https://github.com/Akhil-CM", "followers_url": "https://api.github.com/users/Akhil-CM/followers", "f... | true | |||||||||||
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Unable to upload a large dataset zip from command line or UI. UI simply says error. I am trying to a upload a tar.gz file of 17GB.
<img width="550" alt="image" src="https://github.com/user-attachments/assets/f9d29024-06c8-49c4-a109-0492cff79d34">
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I also renamed `.n_shards` -> `.num_shards` for consistency and kept the old name for backward compatibility. And a few changes in internal functions for consistency as well (rank, world_size -> num_shards, index)
Breaking... | value:https://api.github.com/repos/huggingface/datasets/issues/7252/comments | value:PR_kwDODunzps5_41s7 | value:closed | value:2 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/7252", "html_url": "https://github.com/huggingface/datasets/pull/7252", "diff_url": "https://github.com/huggingface/datasets/pull/7252.diff", "patch_url": "https://github.com/huggingface/datasets/pull/7252.patch", "merged_at": "2024-10-25T15:45:21Z"} | value:2025-03-21T03:58:43Z | value:https://api.github.com/repos/huggingface/datasets/issues/7252/labels{/name} | value:7252 | 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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I wanted to use my own script to handle the processing, and followed the tutorial documentation by rewriting the MyDatasetConfig and MyDatasetBuilder (which contains the _info,_split_generators and _generate_examples methods) classes. Testing with simple data was able to output the results o... | value:https://api.github.com/repos/huggingface/datasets/issues/7249/comments | value:I_kwDODunzps6bk4Y8 | value:open | value:0 | value:2024-10-24T01:03:51Z | value:https://api.github.com/repos/huggingface/datasets/issues/7249/labels{/name} | value:7249 | json:{"login": "ShDdu", "id": 49576595, "node_id": "MDQ6VXNlcjQ5NTc2NTk1", "avatar_url": "https://avatars.githubusercontent.com/u/49576595?v=4", "gravatar_id": "", "url": "https://api.github.com/users/ShDdu", "html_url": "https://github.com/ShDdu", "followers_url": "https://api.github.com/users/ShDdu/followers", "follo... | true | |||||||||||
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---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
[<ipython-input-9-13b5f31bd391>](https://bcb6shpazyu-496ff2e9c6d22116-0-colab.googleusercontent.com/outputframe.html?vrz=colab_20241022-06... | value:https://api.github.com/repos/huggingface/datasets/issues/7248/comments | value:I_kwDODunzps6bkE_J | value:open | value:2 | value:2024-10-24T17:00:19Z | value:https://api.github.com/repos/huggingface/datasets/issues/7248/labels{/name} | value:7248 | json:{"login": "shoowadoo", "id": 93593941, "node_id": "U_kgDOBZQhVQ", "avatar_url": "https://avatars.githubusercontent.com/u/93593941?v=4", "gravatar_id": "", "url": "https://api.github.com/users/shoowadoo", "html_url": "https://github.com/shoowadoo", "followers_url": "https://api.github.com/users/shoowadoo/followers"... | true | |||||||||||
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in `map()` function, I want to add a new column with a dict structure.
```
def map_fn(example):
example['text'] = {'user': ..., 'assistant': ...}
return example
```
However this leads to a wrong order `{'assistant':..., 'user':...}` in the dataset.
Thus I can't concatenate two dat... | value:https://api.github.com/repos/huggingface/datasets/issues/7247/comments | value:I_kwDODunzps6bV-oN | value:open | value:0 | value:2024-10-22T18:55:23Z | value:https://api.github.com/repos/huggingface/datasets/issues/7247/labels{/name} | value:7247 | json:{"login": "chchch0109", "id": 114604968, "node_id": "U_kgDOBtS7qA", "avatar_url": "https://avatars.githubusercontent.com/u/114604968?v=4", "gravatar_id": "", "url": "https://api.github.com/users/chchch0109", "html_url": "https://github.com/chchch0109", "followers_url": "https://api.github.com/users/chchch0109/foll... | true | |||||||||||
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follow up to #7234 | value:https://api.github.com/repos/huggingface/datasets/issues/7244/comments | value:PR_kwDODunzps5_dqWP | value:closed | value:1 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/7244", "html_url": "https://github.com/huggingface/datasets/pull/7244", "diff_url": "https://github.com/huggingface/datasets/pull/7244.diff", "patch_url": "https://github.com/huggingface/datasets/pull/7244.patch", "merged_at": "2024-10-22T14:10:20Z"} | value:2024-10-22T14:10:45Z | value:https://api.github.com/repos/huggingface/datasets/issues/7244/labels{/name} | value:7244 | 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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Creating a dataset with ArrayXD features leads to errors when downloading from hub due to DatasetCardData removing the Nones
@lhoestq
### Steps to reproduce the bug
```python
import numpy as np
from datasets import Array2D, Dataset, Features, load_dataset
def examples_genera... | value:https://api.github.com/repos/huggingface/datasets/issues/7243/comments | value:I_kwDODunzps6bJGM0 | value:open | value:5 | value:2024-10-22T14:18:10Z | value:https://api.github.com/repos/huggingface/datasets/issues/7243/labels{/name} | value:7243 | 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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Add an `overwrite` argument to the `push_to_hub` method.
### Motivation
I want to overwrite a repo without deleting it on Hugging Face. Is this possible? I couldn't find anything in the documentation or tutorials.
### Your contribution
I can create a PR. | value:https://api.github.com/repos/huggingface/datasets/issues/7241/comments | value:I_kwDODunzps6a91AU | value:closed | value:9 | value:2024-10-24T17:39:08Z | value:https://api.github.com/repos/huggingface/datasets/issues/7241/labels{/name} | value:7241 | json:{"login": "ceferisbarov", "id": 60838378, "node_id": "MDQ6VXNlcjYwODM4Mzc4", "avatar_url": "https://avatars.githubusercontent.com/u/60838378?v=4", "gravatar_id": "", "url": "https://api.github.com/users/ceferisbarov", "html_url": "https://github.com/ceferisbarov", "followers_url": "https://api.github.com/users/cef... | true | ||||||||
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We often encounter situations where we need to preprocess data differently depending on split types such as train, valid, and test.
However, while DatasetDict.map has features to pass rank or index, there's no functionality to pass split types.
Therefore, I propose adding a 'with_splits' ... | value:https://api.github.com/repos/huggingface/datasets/issues/7240/comments | value:PR_kwDODunzps5_KxSL | value:closed | value:0 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/7240", "html_url": "https://github.com/huggingface/datasets/pull/7240", "diff_url": "https://github.com/huggingface/datasets/pull/7240.diff", "patch_url": "https://github.com/huggingface/datasets/pull/7240.patch", "merged_at": null} | value:2025-01-06T08:04:08Z | value:https://api.github.com/repos/huggingface/datasets/issues/7240/labels{/name} | value:7240 | json:{"login": "jp1924", "id": 93233241, "node_id": "U_kgDOBY6gWQ", "avatar_url": "https://avatars.githubusercontent.com/u/93233241?v=4", "gravatar_id": "", "url": "https://api.github.com/users/jp1924", "html_url": "https://github.com/jp1924", "followers_url": "https://api.github.com/users/jp1924/followers", "following... | value:False | true | |||||||||
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There is a bug when using load_dataset with dataset version at 3.0.1 .
Please see below in the "steps to reproduce the bug".
To resolve the bug, I had to downgrade to version 2.21.0
OS: Ubuntu 24 (AWS instance)
Python: same bug under 3.12 and 3.10
The error I had was:
Traceback (mo... | value:https://api.github.com/repos/huggingface/datasets/issues/7238/comments | value:I_kwDODunzps6a4JcJ | value:open | value:2 | value:2024-12-09T09:49:32Z | value:https://api.github.com/repos/huggingface/datasets/issues/7238/labels{/name} | value:7238 | json:{"login": "jupiterMJM", "id": 74985234, "node_id": "MDQ6VXNlcjc0OTg1MjM0", "avatar_url": "https://avatars.githubusercontent.com/u/74985234?v=4", "gravatar_id": "", "url": "https://api.github.com/users/jupiterMJM", "html_url": "https://github.com/jupiterMJM", "followers_url": "https://api.github.com/users/jupiterMJ... | true | |||||||||||
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csv kwargs docstring link was pointing to pandas json docs. | value:https://api.github.com/repos/huggingface/datasets/issues/7236/comments | value:PR_kwDODunzps5_GIvw | value:closed | value:0 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/7236", "html_url": "https://github.com/huggingface/datasets/pull/7236", "diff_url": "https://github.com/huggingface/datasets/pull/7236.diff", "patch_url": "https://github.com/huggingface/datasets/pull/7236.patch", "merged_at": "2024-10-24T15:06:43Z"} | value:2024-10-24T15:06:43Z | value:https://api.github.com/repos/huggingface/datasets/issues/7236/labels{/name} | value:7236 | json:{"login": "cakiki", "id": 3664563, "node_id": "MDQ6VXNlcjM2NjQ1NjM=", "avatar_url": "https://avatars.githubusercontent.com/u/3664563?v=4", "gravatar_id": "", "url": "https://api.github.com/users/cakiki", "html_url": "https://github.com/cakiki", "followers_url": "https://api.github.com/users/cakiki/followers", "fol... | value:False | true | |||||||||
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这里我进行大模型微调，当数据集数量为718时，模型可以正常微调，但是当我添加一个在前718个数据集中的数据或者新增一个数据就会报错
### Steps to reproduce the bug
1.
这里我的数据集可以微调的最后两个数据集是：
{
"messages": [
{
"role": "user",
"content": "完成校正装置设计后需要进行哪些工作？"
},
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"role": "assistant",
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Typo reported by @datavistics. | value:https://api.github.com/repos/huggingface/datasets/issues/7231/comments | value:PR_kwDODunzps5-1jP8 | value:closed | value:1 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/7231", "html_url": "https://github.com/huggingface/datasets/pull/7231", "diff_url": "https://github.com/huggingface/datasets/pull/7231.diff", "patch_url": "https://github.com/huggingface/datasets/pull/7231.patch", "merged_at": "2024-10-16T17:06:19Z"} | value:2024-10-16T17:06:21Z | value:https://api.github.com/repos/huggingface/datasets/issues/7231/labels{/name} | value:7231 | 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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adding the `Video` type based on `VideoReader` from `decord`
```python
>>>from datasets import load_dataset
>>> ds = load_dataset("path/to/videos", split="train").with_format("torch")
>>> print(ds[0]["video"])
<decord.video_reader.VideoReader object at 0x337a47910>
>>> print(ds[0... | value:https://api.github.com/repos/huggingface/datasets/issues/7230/comments | value:PR_kwDODunzps5-ttUV | value:closed | value:1 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/7230", "html_url": "https://github.com/huggingface/datasets/pull/7230", "diff_url": "https://github.com/huggingface/datasets/pull/7230.diff", "patch_url": "https://github.com/huggingface/datasets/pull/7230.patch", "merged_at": "2024-10-24T16:39:50Z"} | value:2024-10-24T16:39:51Z | value:https://api.github.com/repos/huggingface/datasets/issues/7230/labels{/name} | value:7230 | 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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Structured data types (graphs etc.) might often be most efficiently stored as multiple columns, which then need to be combined during feature decoding
Although it is currently possible to nest features as structs, my impression is that in particular when dealing with e.g. a feature compo... | value:https://api.github.com/repos/huggingface/datasets/issues/7228/comments | value:I_kwDODunzps6aNzgO | value:open | value:0 | value:2024-10-15T11:17:15Z | value:https://api.github.com/repos/huggingface/datasets/issues/7228/labels{/name} | value:7228 | 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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```python
import numpy as np
from datasets import Dataset, Features, Array3D
features=Features(**{"array0": Array3D((None, 10, 10), dtype="float32"), "array1": Array3D((None,10,10), dtype="... | value:https://api.github.com/repos/huggingface/datasets/issues/7227/comments | value:PR_kwDODunzps5-l-OE | value:open | value:4 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/7227", "html_url": "https://github.com/huggingface/datasets/pull/7227", "diff_url": "https://github.com/huggingface/datasets/pull/7227.diff", "patch_url": "https://github.com/huggingface/datasets/pull/7227.patch", "merged_at": null} | value:2025-01-28T09:39:26Z | value:https://api.github.com/repos/huggingface/datasets/issues/7227/labels{/name} | value:7227 | 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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The boiler plate code to access a dataset via the hugging face file system is very useful. Please addd
## Add Polars (R) option
The equivailent code works, because the [Polars-R](https://github.com/pola-rs/r-polars) wrapper has hugging faces funcitonaliy as well.
```r
library(pol... | value:https://api.github.com/repos/huggingface/datasets/issues/7226/comments | value:I_kwDODunzps6aMUWf | value:open | value:0 | value:2024-10-14T19:57:13Z | value:https://api.github.com/repos/huggingface/datasets/issues/7226/labels{/name} | value:7226 | json:{"login": "ran-codes", "id": 45013044, "node_id": "MDQ6VXNlcjQ1MDEzMDQ0", "avatar_url": "https://avatars.githubusercontent.com/u/45013044?v=4", "gravatar_id": "", "url": "https://api.github.com/users/ran-codes", "html_url": "https://github.com/ran-codes", "followers_url": "https://api.github.com/users/ran-codes/fo... | true | |||||||||||
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We push changes to our datasets programmatically. Our git client jGit reports that the hf git server returns null as Content-Type after a push.
### Steps to reproduce the bug
A basic kotlin application:
```
val person = PersonIdent(
"padmalcom",
"padmalcom@sth.com"
... | value:https://api.github.com/repos/huggingface/datasets/issues/7225/comments | value:I_kwDODunzps6aJrng | value:open | value:0 | value:2024-10-14T14:33:06Z | value:https://api.github.com/repos/huggingface/datasets/issues/7225/labels{/name} | value:7225 | json:{"login": "padmalcom", "id": 3961950, "node_id": "MDQ6VXNlcjM5NjE5NTA=", "avatar_url": "https://avatars.githubusercontent.com/u/3961950?v=4", "gravatar_id": "", "url": "https://api.github.com/users/padmalcom", "html_url": "https://github.com/padmalcom", "followers_url": "https://api.github.com/users/padmalcom/foll... | true | |||||||||||
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Datasets allows users to create and register custom features.
However if datasets are then pushed to the hub, this means that anyone calling load_dataset without registering the custom Features in the same way as the dataset creator will get an error message.
It would be nice to offer ... | value:https://api.github.com/repos/huggingface/datasets/issues/7223/comments | value:I_kwDODunzps6Z-Pxm | value:open | value:0 | value:2024-10-12T16:08:20Z | value:https://api.github.com/repos/huggingface/datasets/issues/7223/labels{/name} | value:7223 | 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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In general, changing the type from string to null is allowed within a dataset — there are even examples of this in the documentation.
However, if the dataset is large and unevenly distributed, this allowance stops working. The schema gets locked in after reading a chunk.
Consequently,... | value:https://api.github.com/repos/huggingface/datasets/issues/7222/comments | value:I_kwDODunzps6Z8IoR | value:open | value:8 | value:2026-10-19T14:46:32Z | value:https://api.github.com/repos/huggingface/datasets/issues/7222/labels{/name} | value:7222 | json:{"login": "nokados", "id": 5142577, "node_id": "MDQ6VXNlcjUxNDI1Nzc=", "avatar_url": "https://avatars.githubusercontent.com/u/5142577?v=4", "gravatar_id": "", "url": "https://api.github.com/users/nokados", "html_url": "https://github.com/nokados", "followers_url": "https://api.github.com/users/nokados/followers", ... | true | |||||||||||
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```python
from datasets.features.features import CustomFeature
class ListOfStrs(CustomFeature):
requires_encoding = True
def _encode_example(self, value):
if isinstance(value, st... | value:https://api.github.com/repos/huggingface/datasets/issues/7221/comments | value:PR_kwDODunzps5-YNI8 | value:closed | value:2 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/7221", "html_url": "https://github.com/huggingface/datasets/pull/7221", "diff_url": "https://github.com/huggingface/datasets/pull/7221.diff", "patch_url": "https://github.com/huggingface/datasets/pull/7221.patch", "merged_at": null} | value:2025-01-28T09:40:29Z | value:https://api.github.com/repos/huggingface/datasets/issues/7221/labels{/name} | value:7221 | 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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It is possible to register custom features using datasets.features.features.register_feature (https://github.com/huggingface/datasets/pull/6727)
However such features are not compatible with Features.encode_example/decode_example if they require special encoding / decoding logic because... | value:https://api.github.com/repos/huggingface/datasets/issues/7220/comments | value:I_kwDODunzps6Z5r6O | value:open | value:2 | value:2024-11-08T15:10:58Z | value:https://api.github.com/repos/huggingface/datasets/issues/7220/labels{/name} | value:7220 | 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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pandas columns: song_id, song_name
ds = Dataset.from_pandas(df)
def has_cover(song_name):
if song_name is None or pd.isna(song_name):
return False
return 'cover' in song_name.lower()
df['has_cover'] = df.song_name.progress_apply(has_cover)
ds = ds.map(lambda x: {'h... | value:https://api.github.com/repos/huggingface/datasets/issues/7217/comments | value:I_kwDODunzps6Z2GK6 | value:open | value:3 | value:2025-02-28T21:21:01Z | value:https://api.github.com/repos/huggingface/datasets/issues/7217/labels{/name} | value:7217 | json:{"login": "lanlanlanlanlanlan365", "id": 178981231, "node_id": "U_kgDOCqsJbw", "avatar_url": "https://avatars.githubusercontent.com/u/178981231?v=4", "gravatar_id": "", "url": "https://api.github.com/users/lanlanlanlanlanlan365", "html_url": "https://github.com/lanlanlanlanlanlan365", "followers_url": "https://api... | true | |||||||||||
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When performing map, it's nice to be able to pass the new feature type, and indeed required by interleave and concatenate datasets.
However, this can cause a major slowdown for certain types of array features due to the features being re-encoded.
This is separate to the slowdown repo... | value:https://api.github.com/repos/huggingface/datasets/issues/7215/comments | value:I_kwDODunzps6Zxs4b | value:open | value:0 | value:2024-10-10T22:10:32Z | value:https://api.github.com/repos/huggingface/datasets/issues/7215/labels{/name} | value:7215 | 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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When applying with_format -> map -> with_format(None), array dtypes seem to change, even if features are passed
### Steps to reproduce the bug
```python
features=Features(**{"array0": Array3D((None, 10, 10), dtype="float32")})
dataset = Dataset.from_dict({f"array0": [np.zeros((100... | value:https://api.github.com/repos/huggingface/datasets/issues/7214/comments | value:I_kwDODunzps6ZtIGh | value:open | value:1 | value:2024-10-12T16:55:57Z | value:https://api.github.com/repos/huggingface/datasets/issues/7214/labels{/name} | value:7214 | 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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Add `with_rank` to `Dataset.from_generator` similar to `Dataset.map` and `Dataset.filter`.
### Motivation
As for `Dataset.map` and `Dataset.filter`, this is useful when creating cache files using multi-GPU, where the rank can be used to select GPU IDs. For now, rank can be added in t... | value:https://api.github.com/repos/huggingface/datasets/issues/7213/comments | value:I_kwDODunzps6Zs3dt | value:open | value:0 | value:2024-10-10T12:17:11Z | value:https://api.github.com/repos/huggingface/datasets/issues/7213/labels{/name} | value:7213 | json:{"login": "muthissar", "id": 17828087, "node_id": "MDQ6VXNlcjE3ODI4MDg3", "avatar_url": "https://avatars.githubusercontent.com/u/17828087?v=4", "gravatar_id": "", "url": "https://api.github.com/users/muthissar", "html_url": "https://github.com/muthissar", "followers_url": "https://api.github.com/users/muthissar/fo... | true | |||||||||||
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signal.alarm and signal.signal are used in the load.py module, but these are not supported by Windows.
### Steps to reproduce the bug
lighteval accelerate --model_args "pretrained=gpt2,trust_remote_code=True" --tasks "community|kinit_sts" --custom_tasks "community_tasks/kinit_evals.py" --... | value:https://api.github.com/repos/huggingface/datasets/issues/7212/comments | value:I_kwDODunzps6ZsvFr | value:open | value:0 | value:2024-10-10T12:00:19Z | value:https://api.github.com/repos/huggingface/datasets/issues/7212/labels{/name} | value:7212 | json:{"login": "TomasJavurek", "id": 33832672, "node_id": "MDQ6VXNlcjMzODMyNjcy", "avatar_url": "https://avatars.githubusercontent.com/u/33832672?v=4", "gravatar_id": "", "url": "https://api.github.com/users/TomasJavurek", "html_url": "https://github.com/TomasJavurek", "followers_url": "https://api.github.com/users/Tom... | true | |||||||||||
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Hi Datasets team!
Is it possible to add the ability to describe only selected fields of the dataset files in `README.md`? For example, I have this open dataset ([open-llm-leaderboard/results](https://huggingface.co/datasets/open-llm-leaderboard/results?row=0)) and I want to describe only ... | value:https://api.github.com/repos/huggingface/datasets/issues/7211/comments | value:I_kwDODunzps6ZkMB2 | value:open | value:0 | value:2024-10-09T16:25:47Z | value:https://api.github.com/repos/huggingface/datasets/issues/7211/labels{/name} | value:7211 | json:{"login": "alozowski", "id": 67658835, "node_id": "MDQ6VXNlcjY3NjU4ODM1", "avatar_url": "https://avatars.githubusercontent.com/u/67658835?v=4", "gravatar_id": "", "url": "https://api.github.com/users/alozowski", "html_url": "https://github.com/alozowski", "followers_url": "https://api.github.com/users/alozowski/fo... | true | |||||||||||
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It is currently quite easy to cause massive slowdowns when using datasets and not familiar with the underlying data conversions by e.g. making bad choices of formatting.
Would it be more user-friendly to set defaults that avoid this as much as possible? e.g. format Array features as numpy ... | value:https://api.github.com/repos/huggingface/datasets/issues/7210/comments | value:I_kwDODunzps6ZiN6j | value:open | value:0 | value:2024-10-09T13:05:21Z | value:https://api.github.com/repos/huggingface/datasets/issues/7210/labels{/name} | value:7210 | 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 also haven't thought hard about the concatenate / interleaving example iterables but think this might work assuming that features are either all identical or None? | value:https://api.github.com/repos/huggingface/datasets/issues/7209/comments | value:PR_kwDODunzps5-D6_P | value:closed | value:3 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/7209", "html_url": "https://github.com/huggingface/datasets/pull/7209", "diff_url": "https://github.com/huggingface/datasets/pull/7209.diff", "patch_url": "https://github.com/huggingface/datasets/pull/7209.patch", "merged_at": "2024-10-09T16:04:07Z"} | value:2024-10-16T11:27:22Z | value:https://api.github.com/repos/huggingface/datasets/issues/7209/labels{/name} | value:7209 | 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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When calling filter on an iterable dataset, the features get set to None
### Steps to reproduce the bug
import numpy as np
import time
from datasets import Dataset, Features, Array3D
```python
features=Features(**{"array0": Array3D((None, 10, 10), dtype="float32"), "array1": Array3D(... | value:https://api.github.com/repos/huggingface/datasets/issues/7208/comments | value:I_kwDODunzps6ZgsVg | value:closed | value:1 | value:2024-10-09T16:08:46Z | value:https://api.github.com/repos/huggingface/datasets/issues/7208/labels{/name} | value:7208 | 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 have no idea if this approach makes sense or would break something else?
Could maybe work on a full pr if this looks reasonable @lhoestq ? I imagine the same issue might affect other iterable dataset methods? | value:https://api.github.com/repos/huggingface/datasets/issues/7207/comments | value:PR_kwDODunzps59-Dms | value:closed | value:17 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/7207", "html_url": "https://github.com/huggingface/datasets/pull/7207", "diff_url": "https://github.com/huggingface/datasets/pull/7207.diff", "patch_url": "https://github.com/huggingface/datasets/pull/7207.patch", "merged_at": "2025-01-14T16:59:30Z"} | value:2025-01-14T18:36:03Z | value:https://api.github.com/repos/huggingface/datasets/issues/7207/labels{/name} | value:7207 | 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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