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https://api.github.com/repos/huggingface/datasets/issues/1769 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1769/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1769/comments | https://api.github.com/repos/huggingface/datasets/issues/1769/events | https://github.com/huggingface/datasets/issues/1769 | 792,523,284 | MDU6SXNzdWU3OTI1MjMyODQ= | 1,769 | _pickle.PicklingError: Can't pickle typing.Union[str, NoneType]: it's not the same object as typing.Union when calling datasets.map with num_proc=2 | {
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"More information: `run_mlm.py` will raise same error when `data_args.line_by_line==True`\r\n\r\nhttps://github.com/huggingface/transformers/blob/9152f16023b59d262b51573714b40325c8e49370/examples/language-modeling/run_mlm.py#L300\r\n",
"Hi ! What version of python and datasets do you have ? And also what version ... | 2021-01-23T10:13:00Z | 2022-10-05T12:38:51Z | 2022-10-05T12:38:51Z | null | NONE | [] | null | null | {
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} | It may be a bug of multiprocessing with Datasets, when I disable the multiprocessing by set num_proc to None, everything works fine.
The script I use is https://github.com/huggingface/transformers/blob/master/examples/language-modeling/run_mlm_wwm.py
Script args:
```
--model_name_or_path
../../../model/chine... | {
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https://api.github.com/repos/huggingface/datasets/issues/2148 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2148/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2148/comments | https://api.github.com/repos/huggingface/datasets/issues/2148/events | https://github.com/huggingface/datasets/issues/2148 | 844,700,910 | MDU6SXNzdWU4NDQ3MDA5MTA= | 2,148 | Add configurable options to `seqeval` metric | {
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"Hi @marrodion. \r\n\r\nThanks for pointing this out. It would be great to incorporate this metric-specific enhancement.\r\n\r\nAnother possibility would be to require the user to input the scheme as a string `mode=\"strict\", scheme=\"IOB2\"` and then dynamically import the corresponding module using Python `impor... | 2021-03-30T15:04:06Z | 2021-04-15T13:49:46Z | 2021-04-15T13:49:46Z | null | CONTRIBUTOR | [] | null | null | {
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} | Right now `load_metric("seqeval")` only works in the default mode of evaluation (equivalent to conll evaluation).
However, seqeval library [supports](https://github.com/chakki-works/seqeval#support-features) different evaluation schemes (IOB1, IOB2, etc.), which can be plugged in just by supporting additional kwargs... | {
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https://api.github.com/repos/huggingface/datasets/issues/5243 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5243/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5243/comments | https://api.github.com/repos/huggingface/datasets/issues/5243/events | https://github.com/huggingface/datasets/issues/5243 | 1,449,523,962 | I_kwDODunzps5WZfr6 | 5,243 | Download only split data | {
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"Hi @capsabogdan! Unfortunately, it's hard to implement because quite often datasets data is being hosted in a single archive for all splits :( So we have to download the whole archive to split it into splits. This is the case for CommonVoice too. \r\n\r\nHowever, for cases when data is distributed in separate arch... | 2022-11-15T10:15:54Z | 2025-02-25T14:47:03Z | null | null | NONE | [] | null | null | {
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Is it possible to download only the data that I am requesting and not the entire dataset? I run out of disk spaceas it seems to download the entire dataset, instead of only the part needed.
common_voice["test"] = load_dataset("mozilla-foundation/common_voice_11_0", "en", split="test",
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/3857 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3857/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3857/comments | https://api.github.com/repos/huggingface/datasets/issues/3857/events | https://github.com/huggingface/datasets/issues/3857 | 1,162,525,353 | I_kwDODunzps5FSrqp | 3,857 | Order of dataset changes due to glob.glob. | {
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"I agree using `glob.glob` alone is bad practice because it's not deterministic. Using `sorted` is a nice solution.\r\n\r\nNote that the `xglob` function you are referring to in the `streaming_download_manager.py` code just extends `glob.glob` for URLs - we don't change its behavior. That's why it has no `sorted()`... | 2022-03-08T11:10:30Z | 2022-03-14T11:08:22Z | null | null | CONTRIBUTOR | [] | null | null | {
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} | ## Describe the bug
After discussion with @lhoestq, just want to mention here that `glob.glob(...)` should always be used in combination with `sorted(...)` to make sure the list of files returned by `glob.glob(...)` doesn't change depending on the OS system.
There are currently multiple datasets that use `glob.g... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6329 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6329/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6329/comments | https://api.github.com/repos/huggingface/datasets/issues/6329/events | https://github.com/huggingface/datasets/issues/6329 | 1,955,858,020 | I_kwDODunzps50lAZk | 6,329 | شبکه های متن به گفتار ابتدا متن داده شده را به بازنمایی میانی | {
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| {
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https://api.github.com/repos/huggingface/datasets/issues/5477 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5477/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5477/comments | https://api.github.com/repos/huggingface/datasets/issues/5477/events | https://github.com/huggingface/datasets/issues/5477 | 1,559,909,892 | I_kwDODunzps5c-lYE | 5,477 | Unpin sqlalchemy once issue is fixed | {
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"@albertvillanova It looks like that issue has been fixed so I made a PR to unpin sqlalchemy! ",
"The source issue:\r\n- https://github.com/pandas-dev/pandas/issues/40686\r\n\r\nhas been fixed:\r\n- https://github.com/pandas-dev/pandas/pull/48576\r\n\r\nThe fix was released yesterday (2023-04-03) only in `pandas-... | 2023-01-27T15:01:55Z | 2024-01-26T14:50:45Z | 2024-01-26T14:50:45Z | null | MEMBER | [] | null | null | {
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- pandas-dev/pandas#51015
we should revert the pin introduced in:
- #5476 | {
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https://api.github.com/repos/huggingface/datasets/issues/2301 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2301/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2301/comments | https://api.github.com/repos/huggingface/datasets/issues/2301/events | https://github.com/huggingface/datasets/issues/2301 | 873,941,266 | MDU6SXNzdWU4NzM5NDEyNjY= | 2,301 | Unable to setup dev env on Windows | {
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"Hi @gchhablani, \r\n\r\nThere are some 3rd-party dependencies that require to build code in C. In this case, it is the library `python-Levenshtein`.\r\n\r\nOn Windows, in order to be able to build C code, you need to install at least `Microsoft C++ Build Tools` version 14. You can find more info here: https://visu... | 2021-05-02T13:20:42Z | 2021-05-03T15:18:01Z | 2021-05-03T15:17:34Z | null | CONTRIBUTOR | [] | null | null | {
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I tried installing the `".[dev]"` version on Windows 10 after cloning.
Here is the error I'm facing:
```bat
(env) C:\testing\datasets>pip install -e ".[dev]"
Obtaining file:///C:/testing/datasets
Requirement already satisfied: numpy>=1.17 in c:\programdata\anaconda3\envs\env\lib\site-packages (from datas... | {
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https://api.github.com/repos/huggingface/datasets/issues/491 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/491/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/491/comments | https://api.github.com/repos/huggingface/datasets/issues/491/events | https://github.com/huggingface/datasets/issues/491 | 676,486,275 | MDU6SXNzdWU2NzY0ODYyNzU= | 491 | No 0.4.0 release on GitHub | {
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"I did the release on github, and updated the doc :)\r\nSorry for the delay",
"Thanks!"
] | 2020-08-10T23:59:57Z | 2020-08-11T16:50:07Z | 2020-08-11T16:50:07Z | null | CONTRIBUTOR | [] | null | null | {
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} | 0.4.0 was released on PyPi, but not on GitHub. This means [the documentation](https://huggingface.co/nlp/) is still displaying from 0.3.0, and that there's no tag to easily clone the 0.4.0 version of the repo. | {
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https://api.github.com/repos/huggingface/datasets/issues/790 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/790/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/790/comments | https://api.github.com/repos/huggingface/datasets/issues/790/events | https://github.com/huggingface/datasets/issues/790 | 734,470,197 | MDU6SXNzdWU3MzQ0NzAxOTc= | 790 | Error running pip install -e ".[dev]" on MacOS 10.13.6: faiss/python does not exist | {
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"I saw that `faiss-cpu` 1.6.4.post2 was released recently to fix the installation on macos. It should work now",
"Closing this one.\r\nFeel free to re-open if you still have issues"
] | 2020-11-02T12:36:35Z | 2020-11-10T14:05:02Z | 2020-11-10T14:05:02Z | null | NONE | [] | null | null | {
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```sh
git clone https://github.com/huggingface/datasets
cd datasets
virtualenv venv -p python3 --system-site-packages
source venv/bin/activate
pip install -e ".... | {
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https://api.github.com/repos/huggingface/datasets/issues/3676 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3676/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3676/comments | https://api.github.com/repos/huggingface/datasets/issues/3676/events | https://github.com/huggingface/datasets/issues/3676 | 1,123,096,362 | I_kwDODunzps5C8Rcq | 3,676 | `None` replaced by `[]` after first batch in map | {
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"It looks like this is because of this behavior in pyarrow:\r\n```python\r\nimport pyarrow as pa\r\n\r\narr = pa.array([None, [0]])\r\nreconstructed_arr = pa.ListArray.from_arrays(arr.offsets, arr.values)\r\nprint(reconstructed_arr.to_pylist())\r\n# [[], [0]]\r\n```\r\n\r\nIt seems that `arr.offsets` can reconstruc... | 2022-02-03T13:36:48Z | 2022-10-28T13:13:20Z | 2022-10-28T13:13:20Z | {
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} | Sometimes `None` can be replaced by `[]` when running map:
```python
from datasets import Dataset
ds = Dataset.from_dict({"a": range(4)})
ds = ds.map(lambda x: {"b": [[None, [0]]]}, batched=True, batch_size=1, remove_columns=["a"])
print(ds.to_pandas())
# b
# 0 [None, [0]]
# 1 [[], [0]]
# ... | {
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https://api.github.com/repos/huggingface/datasets/issues/166 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/166/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/166/comments | https://api.github.com/repos/huggingface/datasets/issues/166/events | https://github.com/huggingface/datasets/issues/166 | 620,850,218 | MDU6SXNzdWU2MjA4NTAyMTg= | 166 | Add a method to shuffle a dataset | {
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"+1 for the naming convention\r\n\r\nAbout the `shuffle` method, from my understanding it should be done in `Dataloader` (better separation between dataset processing - usage)",
"+1 for shuffle in `Dataloader`. \r\nSome `Dataloader` just store idxs of dataset and just shuffle those idxs, which might(?) be faster ... | 2020-05-19T10:08:46Z | 2020-06-23T15:07:33Z | 2020-06-23T15:07:32Z | null | MEMBER | [] | null | null | {
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} | Could maybe be a `dataset.shuffle(generator=None, seed=None)` signature method.
Also, we could maybe have a clear indication of which method modify in-place and which methods return/cache a modified dataset. I kinda like torch conversion of having an underscore suffix for all the methods which modify a dataset in-pl... | {
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https://api.github.com/repos/huggingface/datasets/issues/7719 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7719/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7719/comments | https://api.github.com/repos/huggingface/datasets/issues/7719/events | https://github.com/huggingface/datasets/issues/7719 | 3,285,928,491 | I_kwDODunzps7D20or | 7,719 | Specify dataset columns types in typehint | {
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} | ### Feature request
Make dataset optionaly generic to datasets usage with type annotations like it was done in `torch.Dataloader` https://github.com/pytorch/pytorch/blob/134179474539648ba7dee1317959529fbd0e7f89/torch/utils/data/dataloader.py#L131
### Motivation
In MTEB we're using a lot of datasets objects, but they... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/3255 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3255/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3255/comments | https://api.github.com/repos/huggingface/datasets/issues/3255/events | https://github.com/huggingface/datasets/issues/3255 | 1,051,783,129 | I_kwDODunzps4-sO_Z | 3,255 | SciELO dataset ConnectionError | {
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} | ## Describe the bug
I get `ConnectionError` when I am trying to load the SciELO dataset.
When I try the URL with `requests` I get:
```
>>> requests.head("https://ndownloader.figstatic.com/files/14019287")
<Response [302]>
```
And as far as I understand redirections in `datasets` are not supported for downlo... | {
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https://api.github.com/repos/huggingface/datasets/issues/4811 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4811/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4811/comments | https://api.github.com/repos/huggingface/datasets/issues/4811/events | https://github.com/huggingface/datasets/issues/4811 | 1,333,043,421 | I_kwDODunzps5PdKDd | 4,811 | Bug in function validate_type for Python >= 3.9 | {
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The function `validate_type` assumes that the type `typing.Optional[str]` is automatically transformed to `typing.Union[str, NoneType]`.
```python
In [4]: typing.Optional[str]
Out[4]: typing.Union[str, NoneType]
```
However, this is not the case for Python 3.9:
```python
In [3]: typing.Opt... | {
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https://api.github.com/repos/huggingface/datasets/issues/1755 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1755/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1755/comments | https://api.github.com/repos/huggingface/datasets/issues/1755/events | https://github.com/huggingface/datasets/issues/1755 | 790,324,734 | MDU6SXNzdWU3OTAzMjQ3MzQ= | 1,755 | Using select/reordering datasets slows operations down immensely | {
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"You can use `Dataset.flatten_indices()` to make it fast after a select or shuffle.",
"Thanks for the input! I gave that a try by adding this after my selection / reordering operations, but before the big computation task of `score_squad`\r\n\r\n```\r\nexamples = examples.flatten_indices()\r\nfeatures = features.... | 2021-01-20T21:12:12Z | 2021-01-20T22:03:39Z | 2021-01-20T22:03:39Z | null | NONE | [] | null | null | {
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} | I am using portions of HF's helpful work in preparing / scoring the SQuAD 2.0 data. The problem I have is that after using `select` to re-ordering the dataset, computations slow down immensely where the total scoring process on 131k training examples would take maybe 3 minutes, now take over an hour.
The below examp... | {
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https://api.github.com/repos/huggingface/datasets/issues/7008 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7008/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7008/comments | https://api.github.com/repos/huggingface/datasets/issues/7008/events | https://github.com/huggingface/datasets/issues/7008 | 2,379,591,141 | I_kwDODunzps6N1a3l | 7,008 | Support ruff 0.5.0 in CI | {
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Also revert:
- #7007 | {
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https://api.github.com/repos/huggingface/datasets/issues/1774 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1774/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1774/comments | https://api.github.com/repos/huggingface/datasets/issues/1774/events | https://github.com/huggingface/datasets/issues/1774 | 792,730,559 | MDU6SXNzdWU3OTI3MzA1NTk= | 1,774 | is it possible to make slice to be more compatible like python list and numpy? | {
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"Hi ! Thanks for reporting.\r\nI am working on changes in the way data are sliced from arrow. I can probably fix your issue with the changes I'm doing.\r\nIf you have some code to reproduce the issue it would be nice so I can make sure that this case will be supported :)\r\nI'll make a PR in a few days ",
"Good i... | 2021-01-24T06:15:52Z | 2024-01-31T15:54:18Z | 2024-01-31T15:54:18Z | {
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see below error:
```
AssertionError: Requested slice [:10000000000000000] incompatible with 20 examples.
``` | {
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https://api.github.com/repos/huggingface/datasets/issues/4443 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4443/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4443/comments | https://api.github.com/repos/huggingface/datasets/issues/4443/events | https://github.com/huggingface/datasets/issues/4443 | 1,259,606,334 | I_kwDODunzps5LFBE- | 4,443 | Dataset Viewer issue for openclimatefix/nimrod-uk-1km | {
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"If I understand correctly, this is due to the key `split` missing in the line https://huggingface.co/datasets/openclimatefix/nimrod-uk-1km/blob/main/nimrod-uk-1km.py#L41 of the script.\r\nMaybe @albertvillanova could confirm.",
"I'm having a look.",
"Indeed there are several issues in this dataset loading scri... | 2022-06-03T08:17:16Z | 2023-09-25T12:15:08Z | null | null | NONE | [] | null | null | {
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_No response_
### Description
_No response_
### Owner
_No response_ | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7469 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7469/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7469/comments | https://api.github.com/repos/huggingface/datasets/issues/7469/events | https://github.com/huggingface/datasets/issues/7469 | 2,936,606,080 | I_kwDODunzps6vCQ2A | 7,469 | Custom split name with the web interface | {
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} | ### Describe the bug
According the doc here: https://huggingface.co/docs/hub/datasets-file-names-and-splits#custom-split-name
it should infer the split name from the subdir of data or the beg of the name of the files in data.
When doing this manually through web upload it does not work. it uses "train" as a unique spl... | {
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https://api.github.com/repos/huggingface/datasets/issues/897 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/897/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/897/comments | https://api.github.com/repos/huggingface/datasets/issues/897/events | https://github.com/huggingface/datasets/issues/897 | 752,100,256 | MDU6SXNzdWU3NTIxMDAyNTY= | 897 | Dataset viewer issues | {
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"Thanks for reporting !\r\ncc @srush for the empty feature list issue and the encoding issue\r\ncc @julien-c maybe we can update the url and just have a redirection from the old url to the new one ?",
"Ok, I redirected on our side to a new url. ⚠️ @srush: if you update the Streamlit config too to `/datasets/viewe... | 2020-11-27T09:14:34Z | 2021-10-31T09:12:01Z | 2021-10-31T09:12:01Z | null | CONTRIBUTOR | [] | null | null | {
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} | I was looking through the dataset viewer and I like it a lot. Version numbers, citation information, everything's there! I've spotted a few issues/bugs though:
- the URL is still under `nlp`, perhaps an alias for `datasets` can be made
- when I remove a **feature** (and the feature list is empty), I get an error. T... | {
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https://api.github.com/repos/huggingface/datasets/issues/3310 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3310/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3310/comments | https://api.github.com/repos/huggingface/datasets/issues/3310/events | https://github.com/huggingface/datasets/issues/3310 | 1,060,098,104 | I_kwDODunzps4_L9A4 | 3,310 | Fatal error condition occurred in aws-c-io | {
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"Hi ! Are you having this issue only with this specific dataset, or it also happens with other ones like `squad` ?",
"@lhoestq It happens also on `squad`. It successfully downloads the whole dataset and then crashes on: \r\n\r\n```\r\nFatal error condition occurred in D:\\bld\\aws-c-io_1633633258269\\work\\source... | 2021-11-22T12:27:54Z | 2023-02-08T10:31:05Z | 2021-11-29T22:22:37Z | null | NONE | [] | null | null | {
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} | ## Describe the bug
Fatal error when using the library
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset('wikiann', 'en')
```
## Expected results
No fatal errors
## Actual results
```
Fatal error condition occurred in D:\bld\aws-c-io_1633633258269\work\sou... | {
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https://api.github.com/repos/huggingface/datasets/issues/3132 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3132/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3132/comments | https://api.github.com/repos/huggingface/datasets/issues/3132/events | https://github.com/huggingface/datasets/issues/3132 | 1,032,505,430 | I_kwDODunzps49ishW | 3,132 | Support Audio feature in streaming mode | {
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Due to the large size of many speech datasets, we should also support Audio feature in streaming mode.
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https://api.github.com/repos/huggingface/datasets/issues/7137 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7137/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7137/comments | https://api.github.com/repos/huggingface/datasets/issues/7137/events | https://github.com/huggingface/datasets/issues/7137 | 2,506,851,048 | I_kwDODunzps6Va4Lo | 7,137 | [BUG] dataset_info sequence unexpected behavior in README.md YAML | {
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"The non-sequence case works well (`dict[str, str]` instead of `list[dict[str, str]]`), which makes me believe it shall be a bug for `sequence` and my proposed behavior shall be expected.\r\n```\r\ndataset_info:\r\n- config_name: default\r\n features:\r\n - name: answers\r\n dtype:\r\n - name: text\r\n ... | 2024-09-05T06:06:06Z | 2025-07-07T09:20:29Z | 2025-07-04T19:50:59Z | null | CONTRIBUTOR | [] | null | null | {
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} | ### Describe the bug
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
feature... | {
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https://api.github.com/repos/huggingface/datasets/issues/7577 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7577/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7577/comments | https://api.github.com/repos/huggingface/datasets/issues/7577/events | https://github.com/huggingface/datasets/issues/7577 | 3,080,833,740 | I_kwDODunzps63ocrM | 7,577 | arrow_schema is not compatible with list | {
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"Thanks for reporting, I'll look into it",
"Actually it looks like you just forgot parenthesis:\n\n```diff\n- f = datasets.Features({'x': list[datasets.Value(dtype='int32')]})\n+ f = datasets.Features({'x': list([datasets.Value(dtype='int32')])})\n```\n\nor simply using the `[ ]` syntax:\n\n```python\nf = dataset... | 2025-05-21T16:37:01Z | 2025-05-26T18:49:51Z | 2025-05-26T18:32:55Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
```
import datasets
f = datasets.Features({'x': list[datasets.Value(dtype='int32')]})
f.arrow_schema
Traceback (most recent call last):
File "datasets/features/features.py", line 1826, in arrow_schema
return pa.schema(self.type).with_metadata({"huggingface": json.dumps(hf_metadata)})
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https://api.github.com/repos/huggingface/datasets/issues/3724 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3724/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3724/comments | https://api.github.com/repos/huggingface/datasets/issues/3724/events | https://github.com/huggingface/datasets/issues/3724 | 1,138,827,681 | I_kwDODunzps5D4SGh | 3,724 | Bug while streaming CSV dataset with pandas 1.4 | {
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} | ## Describe the bug
If we upgrade to pandas `1.4`, the patching of the pandas module is no longer working
```
AttributeError: '_PatchedModuleObj' object has no attribute '__version__'
```
## Steps to reproduce the bug
```
pip install pandas==1.4
```
```python
from datasets import load_dataset
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https://api.github.com/repos/huggingface/datasets/issues/2953 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2953/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2953/comments | https://api.github.com/repos/huggingface/datasets/issues/2953/events | https://github.com/huggingface/datasets/issues/2953 | 1,002,766,517 | I_kwDODunzps47xQC1 | 2,953 | Trying to get in touch regarding a security issue | {
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"Hi @JamieSlome,\r\n\r\nThanks for reaching out. Yes, you are right: I'm opening a PR to add the `SECURITY.md` file and a contact method.\r\n\r\nIn the meantime, please feel free to report the security issue to: feedback@huggingface.co"
] | 2021-09-21T15:58:13Z | 2021-10-21T15:16:43Z | 2021-10-21T15:16:43Z | {
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I'd like to report a security issue but cannot find contact instructions on your repository.
If not a hassle, might you kindly add a `SECURITY.md` file with an email, or another contact method? GitHub [recommends](https://docs.github.com/en/code-security/getting-started/adding-a-security-policy-to-your-rep... | {
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https://api.github.com/repos/huggingface/datasets/issues/6614 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6614/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6614/comments | https://api.github.com/repos/huggingface/datasets/issues/6614/events | https://github.com/huggingface/datasets/issues/6614 | 2,098,884,520 | I_kwDODunzps59Gm-o | 6,614 | `datasets/downloads` cleanup tool | {
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} | ### Feature request
Splitting off https://github.com/huggingface/huggingface_hub/issues/1997 - currently `huggingface-cli delete-cache` doesn't take care of cleaning `datasets` temp files
e.g. I discovered having millions of files under `datasets/downloads` cache, I had to do:
```
sudo find /data/huggingface/... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6279 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6279/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6279/comments | https://api.github.com/repos/huggingface/datasets/issues/6279/events | https://github.com/huggingface/datasets/issues/6279 | 1,928,028,226 | I_kwDODunzps5y62BC | 6,279 | Batched IterableDataset | {
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"This is exactly what I was looking for. It would also be very useful for me :-)",
"This issue is really smashing the selling point of HF datasets... The only workaround I've found so far is to create a customized IterableDataloader which improves the loading speed to some extent.\r\n\r\nFor example I've a HF dat... | 2023-10-05T11:12:49Z | 2024-11-07T10:01:22Z | null | null | NONE | [] | null | null | {
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} | ### Feature request
Hi,
could you add an implementation of a batched `IterableDataset`. It already support an option to do batch iteration via `.iter(batch_size=...)` but this cannot be used in combination with a torch `DataLoader` since it just returns an iterator.
### Motivation
The current implementation load... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2267 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2267/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2267/comments | https://api.github.com/repos/huggingface/datasets/issues/2267/events | https://github.com/huggingface/datasets/issues/2267 | 868,291,129 | MDU6SXNzdWU4NjgyOTExMjk= | 2,267 | DatasetDict save load Failing test in 1.6 not in 1.5 | {
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"Thanks for reporting ! We're looking into it",
"I'm not able to reproduce this, do you think you can provide a code that creates a DatasetDict that has this issue when saving and reloading ?",
"Hi, I just ran into a similar error. Here is the minimal code to reproduce:\r\n```python\r\nfrom datasets import load... | 2021-04-27T00:03:25Z | 2021-05-28T15:27:34Z | null | null | NONE | [] | null | null | {
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} | ## Describe the bug
We have a test that saves a DatasetDict to disk and then loads it from disk. In 1.6 there is an incompatibility in the schema.
Downgrading to `>1.6` -- fixes the problem.
## Steps to reproduce the bug
```python
### Load a dataset dict from jsonl
path = '/test/foo'
ds_dict.s... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/4343 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4343/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4343/comments | https://api.github.com/repos/huggingface/datasets/issues/4343/events | https://github.com/huggingface/datasets/issues/4343 | 1,234,864,168 | I_kwDODunzps5Jmogo | 4,343 | Metrics documentation is not accessible in the datasets doc UI | {
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"Hey @fxmarty :) Yes we are working on showing the docs of all the metrics on the Hugging face website. If you want to follow the advancements you can check the [evaluate](https://github.com/huggingface/evaluate) repository cc @lvwerra @sashavor "
] | 2022-05-13T07:46:30Z | 2022-06-03T08:50:25Z | 2022-06-03T08:50:25Z | null | CONTRIBUTOR | [] | null | null | {
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} | **Is your feature request related to a problem? Please describe.**
Search for a metric name like "seqeval" yields no results on https://huggingface.co/docs/datasets/master/en/index . One needs to go look in `datasets/metrics/README.md` to find the doc. Even in the `README.md`, it can be hard to understand what the met... | {
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https://api.github.com/repos/huggingface/datasets/issues/5710 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5710/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5710/comments | https://api.github.com/repos/huggingface/datasets/issues/5710/events | https://github.com/huggingface/datasets/issues/5710 | 1,655,703,534 | I_kwDODunzps5isAfu | 5,710 | OSError: Memory mapping file failed: Cannot allocate memory | {
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"Hi! This error means that PyArrow's internal [`mmap`](https://man7.org/linux/man-pages/man2/mmap.2.html) call failed to allocate memory, which can be tricky to debug. Since this error is more related to PyArrow than us, I think it's best to report this issue in their [repo](https://github.com/apache/arrow) (they a... | 2023-04-05T14:11:26Z | 2023-04-20T17:16:40Z | 2023-04-20T17:16:40Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
Hello, I have a series of datasets each of 5 GB, 600 datasets in total. So together this makes 3TB.
When I trying to load all the 600 datasets into memory, I get the above error message.
Is this normal because I'm hitting the max size of memory mapping of the OS?
Thank you
```te... | {
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https://api.github.com/repos/huggingface/datasets/issues/477 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/477/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/477/comments | https://api.github.com/repos/huggingface/datasets/issues/477/events | https://github.com/huggingface/datasets/issues/477 | 673,142,143 | MDU6SXNzdWU2NzMxNDIxNDM= | 477 | Overview.ipynb throws exceptions with nlp 0.4.0 | {
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"Thanks for reporting this issue\r\n\r\nThere was a bug where numpy arrays would get returned instead of tensorflow tensors.\r\nThis is fixed on master.\r\n\r\nI tried to re-run the colab and encountered this error instead:\r\n\r\n```\r\nAttributeError: 'tensorflow.python.framework.ops.EagerTensor' object has no at... | 2020-08-04T23:18:15Z | 2021-08-03T06:02:15Z | 2021-08-03T06:02:15Z | null | NONE | [] | null | null | {
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} | with nlp 0.4.0, the TensorFlow example in Overview.ipynb throws the following exceptions:
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-5-48907f2ad433> in <module>
----> 1 features = {x: trai... | {
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https://api.github.com/repos/huggingface/datasets/issues/3831 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3831/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3831/comments | https://api.github.com/repos/huggingface/datasets/issues/3831/events | https://github.com/huggingface/datasets/issues/3831 | 1,160,501,000 | I_kwDODunzps5FK9cI | 3,831 | when using to_tf_dataset with shuffle is true, not all completed batches are made | {
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"Maybe @Rocketknight1 can help here",
"Hi @greenned, this is expected behaviour for `to_tf_dataset`. By default, we drop the smaller 'remainder' batch during training (i.e. when `shuffle=True`). If you really want to keep that batch, you can set `drop_remainder=False` when calling `to_tf_dataset()`.",
"@Rocketk... | 2022-03-06T02:43:50Z | 2022-03-08T15:18:56Z | 2022-03-08T15:18:56Z | null | NONE | [] | null | null | {
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} | ## Describe the bug
when converting a dataset to tf_dataset by using to_tf_dataset with shuffle true, the remainder is not converted to one batch
## Steps to reproduce the bug
this is the sample code below
https://colab.research.google.com/drive/1_oRXWsR38ElO1EYF9ayFoCU7Ou1AAej4?usp=sharing
## Expected resul... | {
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https://api.github.com/repos/huggingface/datasets/issues/2153 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2153/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2153/comments | https://api.github.com/repos/huggingface/datasets/issues/2153/events | https://github.com/huggingface/datasets/issues/2153 | 846,181,502 | MDU6SXNzdWU4NDYxODE1MDI= | 2,153 | load_dataset ignoring features | {
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"Hi ! Thanks for reporting. I opened a PR to fix this issue: #2201",
"Nice question which helped me a lot! I have wasted a lot of time to the `DatasetDict` creation from a csv file. Hope the document of this module add some simple examples.",
"Hi :) We're indeed working on tutorials that we will add to the docs... | 2021-03-31T08:30:09Z | 2022-10-05T13:29:12Z | 2022-10-05T13:29:12Z | {
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} | First of all, I'm sorry if it is a repeated issue or the changes are already in master, I searched and I didn't find anything.
I'm using datasets 1.5.0
As you can see, when I load the dataset, the C... | {
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https://api.github.com/repos/huggingface/datasets/issues/6447 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6447/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6447/comments | https://api.github.com/repos/huggingface/datasets/issues/6447/events | https://github.com/huggingface/datasets/issues/6447 | 2,008,195,298 | I_kwDODunzps53sqDi | 6,447 | Support one dataset loader per config when using YAML | {
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] | open | false | [] | null | [] | 2023-11-23T13:03:07Z | 2023-11-23T13:03:07Z | null | null | COLLABORATOR | [] | null | null | {
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} | ### Feature request
See https://huggingface.co/datasets/datasets-examples/doc-unsupported-1
I would like to use CSV loader for the "csv" config, JSONL loader for the "jsonl" config, etc.
### Motivation
It would be more flexible for the users
### Your contribution
No specific contribution | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5145 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5145/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5145/comments | https://api.github.com/repos/huggingface/datasets/issues/5145/events | https://github.com/huggingface/datasets/issues/5145 | 1,418,005,452 | I_kwDODunzps5UhQvM | 5,145 | Dataset order is not deterministic with ZIP archives and `iter_files` | {
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"Thanks for reporting ! The issue doesn't come from shuffling, but from `beans` row order not being deterministic:\r\n\r\nhttps://huggingface.co/datasets/beans/blob/main/beans.py uses `dl_manager.iter_files` on ZIP archives and the file order doesn't seen to be deterministic and changes across machines",
"Thank y... | 2022-10-21T09:00:03Z | 2022-10-27T09:51:49Z | 2022-10-27T09:51:10Z | {
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} | ### Describe the bug
For the `beans` dataset (did not try on other), the order of samples is not the same on different machines. Tested on my local laptop, github actions machine, and ec2 instance. The three yield a different order.
### Steps to reproduce the bug
In a clean docker container or conda environmen... | {
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https://api.github.com/repos/huggingface/datasets/issues/7936 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7936/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7936/comments | https://api.github.com/repos/huggingface/datasets/issues/7936/events | https://github.com/huggingface/datasets/issues/7936 | 3,795,750,271 | I_kwDODunzps7iPo1_ | 7,936 | _add_retries_to_file_obj_read_method makes file_obj invalid for pyarrow | {
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"hmm not sure how to fix this, I believe `file_obj.__getattr__ = lambda _, attr: getattr(orig_file_obj, attr)` would make all the methods point to the original file_obj",
"> hmm not sure how to fix this, I believe `file_obj.__getattr__ = lambda _, attr: getattr(orig_file_obj, attr)` would make all the methods poi... | 2026-01-09T07:05:25Z | 2026-01-14T13:47:50Z | 2026-01-13T13:38:03Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
I'm trying to use `load_dataset` to construct a dataset that read parquet data on HDFS streamingly, like
```python
ds = load_dataset(
"parquet",
data_files={
"train": "hdfs://xxx/train*.parquet",
"test": "hdfs://xxx/test*.parquet"
},
streaming=True,
)
```
I encounte... | {
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https://api.github.com/repos/huggingface/datasets/issues/1618 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1618/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1618/comments | https://api.github.com/repos/huggingface/datasets/issues/1618/events | https://github.com/huggingface/datasets/issues/1618 | 772,248,730 | MDU6SXNzdWU3NzIyNDg3MzA= | 1,618 | Can't filter language:EN on https://huggingface.co/datasets | {
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"cc'ing @mapmeld ",
"Full language list is now deployed to https://huggingface.co/datasets ! Recommend close",
"Cool @mapmeld ! My 2 cents (for a next iteration), it would be cool to have a small search widget in the filter dropdown as you have a ton of languages now here! Closing this in the meantime."
] | 2020-12-21T15:23:23Z | 2020-12-22T17:17:00Z | 2020-12-22T17:16:09Z | null | NONE | [] | null | null | {
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} | When visiting https://huggingface.co/datasets, I don't see an obvious way to filter only English datasets. This is unexpected for me, am I missing something? I'd expect English to be selectable in the language widget. This problem reproduced on Mozilla Firefox and MS Edge:
![screenshot](https://user-images.githubuse... | {
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https://api.github.com/repos/huggingface/datasets/issues/120 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/120/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/120/comments | https://api.github.com/repos/huggingface/datasets/issues/120/events | https://github.com/huggingface/datasets/issues/120 | 618,737,783 | MDU6SXNzdWU2MTg3Mzc3ODM= | 120 | 🐛 `map` not working | {
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"I didn't assign the output 🤦♂️\r\n\r\n```python\r\ndataset.map(test)\r\n```\r\n\r\nshould be :\r\n\r\n```python\r\ndataset = dataset.map(test)\r\n```"
] | 2020-05-15T06:43:08Z | 2020-05-15T07:02:38Z | 2020-05-15T07:02:38Z | null | NONE | [] | null | null | {
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} | I'm trying to run a basic example (mapping function to add a prefix).
[Here is the colab notebook I'm using.](https://colab.research.google.com/drive/1YH4JCAy0R1MMSc-k_Vlik_s1LEzP_t1h?usp=sharing)
```python
import nlp
dataset = nlp.load_dataset('squad', split='validation[:10%]')
def test(sample):
samp... | {
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https://api.github.com/repos/huggingface/datasets/issues/4568 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4568/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4568/comments | https://api.github.com/repos/huggingface/datasets/issues/4568/events | https://github.com/huggingface/datasets/issues/4568 | 1,284,655,624 | I_kwDODunzps5MkkoI | 4,568 | XNLI cache reload is very slow | {
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"Hi,\r\nCould you tell us how you are running this code?\r\nI tested on my machine (M1 Mac). And it is running fine both on and off internet.\r\n\r\n<img width=\"1033\" alt=\"Screen Shot 2022-07-03 at 1 32 25 AM\" src=\"https://user-images.githubusercontent.com/8711912/177026364-4ad7cedb-e524-4513-97f7-7961bbb34c90... | 2022-06-25T16:43:56Z | 2022-07-04T14:29:40Z | 2022-07-04T14:29:40Z | null | CONTRIBUTOR | [] | null | null | {
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} | ### Reproduce
Using `2.3.3.dev0`
`from datasets import load_dataset`
`load_dataset("xnli", "en")`
Turn off Internet
`load_dataset("xnli", "en")`
I cancelled the second `load_dataset` eventually cuz it took super long. It would be great to have something to specify e.g. `only_load_from_cache` and avoid the ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2607 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2607/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2607/comments | https://api.github.com/repos/huggingface/datasets/issues/2607/events | https://github.com/huggingface/datasets/issues/2607 | 938,796,902 | MDU6SXNzdWU5Mzg3OTY5MDI= | 2,607 | Streaming local gzip compressed JSON line files is not working | {
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"Updating to pyarrow-4.0.1 didn't fix the issue",
"Here is an exemple dataset with 2 of these compressed JSON files: https://huggingface.co/datasets/thomwolf/github-python",
"Hi @thomwolf, thanks for reporting.\r\n\r\nIt seems this might be due to the fact that the JSON Dataset builder uses `pyarrow.json` (`paj... | 2021-07-07T11:36:33Z | 2021-07-20T09:50:19Z | 2021-07-08T16:08:41Z | {
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} | ## Describe the bug
Using streaming to iterate on local gzip compressed JSON files raise a file not exist error
## Steps to reproduce the bug
```python
from datasets import load_dataset
streamed_dataset = load_dataset('json', split='train', data_files=data_files, streaming=True)
next(iter(streamed_dataset))... | {
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https://api.github.com/repos/huggingface/datasets/issues/7223 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7223/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7223/comments | https://api.github.com/repos/huggingface/datasets/issues/7223/events | https://github.com/huggingface/datasets/issues/7223 | 2,583,231,590 | I_kwDODunzps6Z-Pxm | 7,223 | Fallback to arrow defaults when loading dataset with custom features that aren't registered locally | {
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} | ### Describe the bug
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 a fall... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5716 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5716/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5716/comments | https://api.github.com/repos/huggingface/datasets/issues/5716/events | https://github.com/huggingface/datasets/issues/5716 | 1,658,613,092 | I_kwDODunzps5i3G1k | 5,716 | Handle empty audio | {
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"Hi! Can you share one of the problematic audio files with us?\r\n\r\nI tried to reproduce the error with the following code: \r\n```python\r\nimport soundfile as sf\r\nimport numpy as np\r\nfrom datasets import Audio\r\n\r\nsf.write(\"empty.wav\", np.array([]), 16000)\r\nAudio(sampling_rate=24000).decode_example(... | 2023-04-07T09:51:40Z | 2023-09-27T17:47:08Z | 2023-09-27T17:47:08Z | null | NONE | [] | null | null | {
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} | Some audio paths exist, but they are empty, and an error will be reported when reading the audio path.How to use the filter function to avoid the empty audio path?
when a audio is empty, when do resample , it will break:
`array, sampling_rate = sf.read(f) array = librosa.resample(array, orig_sr=sampling_rate, target_... | {
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https://api.github.com/repos/huggingface/datasets/issues/3119 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3119/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3119/comments | https://api.github.com/repos/huggingface/datasets/issues/3119/events | https://github.com/huggingface/datasets/issues/3119 | 1,031,328,044 | I_kwDODunzps49eNEs | 3,119 | Add OpenSLR 83 - Crowdsourced high-quality UK and Ireland English Dialect speech | {
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"Ugh. The index files for SLR83 are CSV, not TSV. I need to add logic to process these index files."
] | 2021-10-20T12:05:07Z | 2021-10-22T19:00:52Z | 2021-10-22T08:30:22Z | {
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} | ## Adding a Dataset
- **Name:** *openslr**
- **Description:** *Data set which contains male and female recordings of English from various dialects of the UK and Ireland.*
- **Paper:** *https://www.openslr.org/resources/83/about.html*
- **Data:** *Eleven separate data files can be found via https://www.openslr.org/r... | {
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https://api.github.com/repos/huggingface/datasets/issues/5913 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5913/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5913/comments | https://api.github.com/repos/huggingface/datasets/issues/5913/events | https://github.com/huggingface/datasets/issues/5913 | 1,731,427,484 | I_kwDODunzps5nM3yc | 5,913 | I tried to load a custom dataset using the following statement: dataset = load_dataset('json', data_files=data_files). The dataset contains 50 million text-image pairs, but an error occurred. | {
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"Thanks for reporting, @cjt222.\r\n\r\nWhat is the structure of your JSON files. Please note that it is normally simpler if the data file format is JSON-Lines instead. ",
"> Thanks for reporting, @cjt222.\r\n> \r\n> What is the structure of your JSON files. Please note that it is normally simpler if the data file... | 2023-05-30T02:55:26Z | 2023-07-24T12:00:38Z | 2023-07-24T12:00:38Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
File "/home/kas/.conda/envs/diffusers/lib/python3.7/site-packages/datasets/builder.py", line 1858, in _prepare_split_single
Downloading and preparing dataset json/default to /home/kas/diffusers/examples/dreambooth/cache_data/datasets/json/default-acf423d8c6ef99d0/0.0.0/e347ab1c932092252e717ff3f94... | {
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https://api.github.com/repos/huggingface/datasets/issues/6782 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6782/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6782/comments | https://api.github.com/repos/huggingface/datasets/issues/6782/events | https://github.com/huggingface/datasets/issues/6782 | 2,228,081,955 | I_kwDODunzps6EzdUj | 6,782 | Image cast_storage very slow for arrays (e.g. numpy, tensors) | {
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"This may be a solution that only changes `cast_storage` of `Image`.\r\nHowever, I'm not totally sure that the assumptions hold that are made about the `ListArray`.\r\n\r\n```python\r\nelif pa.types.is_list(storage.type):\r\n from .features import Array3DExtensionType\r\n\r\n def get_shapes(arr):\r\n s... | 2024-04-05T13:46:54Z | 2024-04-10T14:36:13Z | null | null | CONTRIBUTOR | [] | null | null | {
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### Describe the bug
Operations that save an image from a path are very slow.
I believe the reason for this is that the image data (`numpy`) is converted into `pyarrow` format but then back to python using `.pylist()` before being converted to a numpy array again.
`pylist` is alread... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7954 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7954/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7954/comments | https://api.github.com/repos/huggingface/datasets/issues/7954/events | https://github.com/huggingface/datasets/issues/7954 | 3,837,020,089 | I_kwDODunzps7ktEe5 | 7,954 | all_exhausted_without_replacement working same as first_exhausted | {
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"it was fixed by https://github.com/huggingface/datasets/pull/7955"
] | 2026-01-21T07:50:31Z | 2026-03-23T14:03:13Z | 2026-03-23T14:03:13Z | null | CONTRIBUTOR | [] | null | null | {
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>>> from datasets import Dataset, interleave_datasets
>>> d1 = Dataset.from_dict({"a": [0, 1, 2]})
>>> d2 = Dataset.from_dict({"a": [10, 11, 12, 13]})
>>> d3 = Dataset.from_dict({"a": [20, 21, 22]})
>>> dataset = interleave_datasets([d1, d2, d3], stopping_strategy="all_exhausted_without_replacemen... | {
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https://api.github.com/repos/huggingface/datasets/issues/5255 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5255/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5255/comments | https://api.github.com/repos/huggingface/datasets/issues/5255/events | https://github.com/huggingface/datasets/issues/5255 | 1,452,631,517 | I_kwDODunzps5WlWXd | 5,255 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI | {
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"Also cc @mariosasko and @lhoestq ",
"Cool ! Let us know if you have questions or if we can help :)\r\n\r\nI guess we'll also have to create the NYU CS Department on the Hub ?",
"> I guess we'll also have to create the NYU CS Department on the Hub ?\r\n\r\nYes, you're right! Let me add it to my profile first, a... | 2022-11-17T03:22:22Z | 2022-12-17T12:20:38Z | 2022-12-17T12:20:37Z | {
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} | ### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a couple of Depth Estimation models on Hub as well:
* [GLPN... | {
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https://api.github.com/repos/huggingface/datasets/issues/7839 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7839/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7839/comments | https://api.github.com/repos/huggingface/datasets/issues/7839/events | https://github.com/huggingface/datasets/issues/7839 | 3,579,121,843 | I_kwDODunzps7VVRCz | 7,839 | datasets doesn't work with python 3.14 | {
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"Thanks for the report.\nHave you tried on main? This should work, there was recently a PR merged to address this problem, see #7817",
"Works on main 👍 \nWhat's the release schedule for `datasets`? Seems like a cadence of ~2weeks so I assume a real version is due pretty soon?",
"let's say we do a new release l... | 2025-11-02T09:09:06Z | 2025-11-04T14:02:25Z | 2025-11-04T14:02:25Z | null | NONE | [] | null | null | {
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Seems that `dataset` doesn't work with python==3.14. The root cause seems to be something with a `deel` API that was changed.
```
TypeError: Pickler._batch_setitems() takes 2 positional arguments but 3 were given
```
### Steps to reproduce the bug
(on a new folder)
uv init
uv python pin 3.14
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https://api.github.com/repos/huggingface/datasets/issues/4804 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4804/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4804/comments | https://api.github.com/repos/huggingface/datasets/issues/4804/events | https://github.com/huggingface/datasets/issues/4804 | 1,332,630,358 | I_kwDODunzps5PblNW | 4,804 | streaming dataset with concatenating splits raises an error | {
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"Hi! Only the name of a particular split (\"train\", \"test\", ...) is supported as a split pattern if `streaming=True`. We plan to address this limitation soon.",
"Hi, have you addressed this yet?",
"yes, same error occurs.\r\n```python\r\nfrom datasets import load_dataset\r\n\r\n# error\r\nrepo = \"nateraw/ad... | 2022-08-09T02:41:56Z | 2023-11-25T14:52:09Z | null | null | NONE | [] | null | null | {
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streaming dataset with concatenating splits raises an error
## Steps to reproduce the bug
```python
from datasets import load_dataset
# no error
repo = "nateraw/ade20k-tiny"
dataset = load_dataset(repo, split="train+validation")
```
```python
from datasets import load_dataset
# er... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/4352 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4352/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4352/comments | https://api.github.com/repos/huggingface/datasets/issues/4352/events | https://github.com/huggingface/datasets/issues/4352 | 1,236,086,170 | I_kwDODunzps5JrS2a | 4,352 | When using `dataset.map()` if passed `Features` types do not match what is returned from the mapped function, execution does not except in an obvious way | {
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"Hi ! Thanks for reporting :) `datasets` usually returns a `pa.lib.ArrowInvalid` error if the feature types don't match.\r\n\r\nIt would be awesome if we had a way to reproduce the `OverflowError` in this case, to better understand what happened and be able to provide the best error message"
] | 2022-05-14T17:55:15Z | 2022-05-16T15:09:17Z | null | null | NONE | [] | null | null | {
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} | ## Describe the bug
Recently I was trying to using `.map()` to preprocess a dataset. I defined the expected Features and passed them into `.map()` like `dataset.map(preprocess_data, features=features)`. My expected `Features` keys matched what came out of `preprocess_data`, but the types i had defined for them did not... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5708 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5708/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5708/comments | https://api.github.com/repos/huggingface/datasets/issues/5708/events | https://github.com/huggingface/datasets/issues/5708 | 1,655,023,642 | I_kwDODunzps5ipaga | 5,708 | Dataset sizes are in MiB instead of MB in dataset cards | {
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"Example of bulk edit: https://huggingface.co/datasets/aeslc/discussions/5",
"looks great! \r\n\r\nDo you encode the fact that you've already converted a dataset? (to not convert it twice) or do you base yourself on the info contained in `dataset_info`",
"I am only looping trough the dataset cards, assuming tha... | 2023-04-05T06:36:03Z | 2023-12-21T10:20:28Z | 2023-12-21T10:20:27Z | {
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} | As @severo reported in an internal discussion (https://github.com/huggingface/moon-landing/issues/5929):
Now we show the dataset size:
- from the dataset card (in the side column)
- from the datasets-server (in the viewer)
But, even if the size is the same, we see a mismatch because the viewer shows MB, while t... | {
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https://api.github.com/repos/huggingface/datasets/issues/6734 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6734/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6734/comments | https://api.github.com/repos/huggingface/datasets/issues/6734/events | https://github.com/huggingface/datasets/issues/6734 | 2,187,646,694 | I_kwDODunzps6CZNbm | 6,734 | Tokenization slows towards end of dataset | {
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"Hi ! First note that if the dataset is not heterogeneous / shuffled, there might be places in the data with shorter texts that are faster to tokenize.\r\n\r\nMoreover, the way `num_proc` works is by slicing the dataset and passing each slice to a process to run the `map()` function. So at the very end of `map()`, ... | 2024-03-15T03:27:36Z | 2025-11-25T09:30:12Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
Mapped tokenization slows down substantially towards end of dataset.
train set started off very slow, caught up to 20k then tapered off til the end.
what's particularly strange is that the tokenization crashed a few times before due to errors with invalid tokens somewhere or corrupted down... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7373 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7373/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7373/comments | https://api.github.com/repos/huggingface/datasets/issues/7373/events | https://github.com/huggingface/datasets/issues/7373 | 2,793,237,139 | I_kwDODunzps6mfWqT | 7,373 | Excessive RAM Usage After Dataset Concatenation concatenate_datasets | {
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"\n\n\n\nAdding a img from memray\nhttps://gist.github.com/sam-hey/00c958f13fb0f7b54d17197fe353002f",
"I'm having the same issue where c... | 2025-01-16T16:33:10Z | 2025-03-27T17:40:59Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
When loading a dataset from disk, concatenating it, and starting the training process, the RAM usage progressively increases until the kernel terminates the process due to excessive memory consumption.
https://github.com/huggingface/datasets/issues/2276
### Steps to reproduce the bug
```python
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https://api.github.com/repos/huggingface/datasets/issues/256 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/256/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/256/comments | https://api.github.com/repos/huggingface/datasets/issues/256/events | https://github.com/huggingface/datasets/issues/256 | 635,596,295 | MDU6SXNzdWU2MzU1OTYyOTU= | 256 | [Feature request] Add a feature to dataset | {
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"Do you have an example of what you would like to do? (you can just add a field in the output of the unction you give to map and this will add this field in the output table)",
"Given another source of data loaded in, I want to pre-add it to the dataset so that it aligns with the indices of the arrow dataset prio... | 2020-06-09T16:38:12Z | 2020-06-09T16:51:42Z | 2020-06-09T16:51:42Z | null | NONE | [] | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6225 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6225/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6225/comments | https://api.github.com/repos/huggingface/datasets/issues/6225/events | https://github.com/huggingface/datasets/issues/6225 | 1,887,054,320 | I_kwDODunzps5weinw | 6,225 | Conversion from RGB to BGR in Object Detection tutorial | {
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"Good catch!"
] | 2023-09-08T06:49:19Z | 2023-09-08T17:52:18Z | 2023-09-08T17:52:17Z | null | NONE | [] | null | null | {
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} | The [tutorial](https://huggingface.co/docs/datasets/main/en/object_detection) mentions the necessity of conversion the input image from BGR to RGB
> albumentations expects the image to be in BGR format, not RGB, so you’ll have to convert the image before applying the transform.
[Link to tutorial](https://github.c... | {
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https://api.github.com/repos/huggingface/datasets/issues/7392 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7392/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7392/comments | https://api.github.com/repos/huggingface/datasets/issues/7392/events | https://github.com/huggingface/datasets/issues/7392 | 2,846,095,043 | I_kwDODunzps6po_bD | 7,392 | push_to_hub payload too large error when using large ClassLabel feature | {
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"See also <https://discuss.huggingface.co/t/datasetdict-push-to-hub-failing-with-payload-to-large/140083/8>\n"
] | 2025-02-11T17:51:34Z | 2025-02-11T18:01:31Z | null | null | CONTRIBUTOR | [] | null | null | {
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} | ### Describe the bug
When using `datasets.DatasetDict.push_to_hub` an `HfHubHTTPError: 413 Client Error: Payload Too Large for url` is raised if the dataset contains a large `ClassLabel` feature. Even if the total size of the dataset is small.
### Steps to reproduce the bug
``` python
import random
import sys
impor... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5946 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5946/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5946/comments | https://api.github.com/repos/huggingface/datasets/issues/5946/events | https://github.com/huggingface/datasets/issues/5946 | 1,754,234,469 | I_kwDODunzps5oj35l | 5,946 | IndexError Not Solving -> IndexError: Invalid key: ?? is out of bounds for size 0 or ?? | {
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"https://colab.research.google.com/#scrollTo=AQ_HCYruWIHU&fileId=https%3A//huggingface.co/dfurman/falcon-40b-chat-oasst1/blob/main/finetune_falcon40b_oasst1_with_bnb_peft.ipynb\r\n\r\nI ran the same administration exactly the same but got the same error",
"Looks related to https://discuss.huggingface.co/t/indexer... | 2023-06-13T07:34:15Z | 2023-07-14T12:04:48Z | null | null | NONE | [] | null | null | {
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in <cell line: 1>:1 │
│ │
│ /usr/local/lib/python3.10/dist-packages/transformers/trainer.py:1537 in train ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/812 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/812/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/812/comments | https://api.github.com/repos/huggingface/datasets/issues/812/events | https://github.com/huggingface/datasets/issues/812 | 738,340,217 | MDU6SXNzdWU3MzgzNDAyMTc= | 812 | Too much logging | {
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"Hi ! Thanks for reporting :) \r\nI agree these one should be hidden when the logging level is warning, we'll fix that",
"+1, the amount of logging is excessive.\r\n\r\nMost of it indeed comes from `filelock.py`, though there are occasionally messages from other sources too. Below is an example (all of these mess... | 2020-11-07T23:56:30Z | 2021-01-26T14:31:34Z | 2020-11-16T17:06:42Z | null | NONE | [] | null | null | {
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from datasets.utils import logging as datasets_logging
datasets_logging.set_verbosity_warning()
but I'm still getting these logs:
[2020-11-07 15:45:41,908][filelock][INFO] - Lock 139958278886176 acquired on /home/username/.cache/huggingface/datasets/cfe20ffaa80ef1... | {
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https://api.github.com/repos/huggingface/datasets/issues/2048 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2048/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2048/comments | https://api.github.com/repos/huggingface/datasets/issues/2048/events | https://github.com/huggingface/datasets/issues/2048 | 830,953,431 | MDU6SXNzdWU4MzA5NTM0MzE= | 2,048 | github is not always available - probably need a back up | {
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```
:/tmp$ wget https://raw.githubusercontent.com/huggingface/datasets/1.4.1/metrics/sacrebleu/sacrebleu.py--2021-03-12 18:35:59-- https://raw.githubusercontent.com/huggingface/datasets/1.4.1/metrics/sacrebleu/sacrebleu.py
Resolving raw.githubusercontent.com (raw.githubuser... | {
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https://api.github.com/repos/huggingface/datasets/issues/2826 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2826/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2826/comments | https://api.github.com/repos/huggingface/datasets/issues/2826/events | https://github.com/huggingface/datasets/issues/2826 | 976,974,254 | MDU6SXNzdWU5NzY5NzQyNTQ= | 2,826 | Add a Text Classification dataset: KanHope | {
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"Hi ! In your script it looks like you're trying to load the dataset `bn_hate_speech,`, not KanHope.\r\n\r\nMoreover the error `KeyError: ' '` means that you have a feature of type ClassLabel, but for a certain example of the dataset, it looks like the label is empty (it's just a string with a space). Can you make ... | 2021-08-23T12:21:58Z | 2021-10-01T18:06:59Z | 2021-10-01T18:06:59Z | null | CONTRIBUTOR | [] | null | null | {
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} | ## Adding a Dataset
- **Name:** *KanHope*
- **Description:** *A code-mixed English-Kannada dataset for Hope speech detection*
- **Paper:** *https://arxiv.org/abs/2108.04616* (I am the author of the paper}
- **Author:** *[AdeepH](https://github.com/adeepH)*
- **Data:** *https://github.com/adeepH/KanHope/tree/main/d... | {
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https://api.github.com/repos/huggingface/datasets/issues/7047 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7047/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7047/comments | https://api.github.com/repos/huggingface/datasets/issues/7047/events | https://github.com/huggingface/datasets/issues/7047 | 2,406,495,084 | I_kwDODunzps6PcDNs | 7,047 | Save Dataset as Sharded Parquet | {
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"To anyone else who finds themselves in this predicament, it's possible to read the parquet file in the same way that datasets writes it, and then manually break it into pieces. Although, you need a couple of magic options (`thrift_*`) to deal with the huge metadata, otherwise pyarrow immediately crashes.\r\n```pyt... | 2024-07-12T23:47:51Z | 2026-01-11T20:03:20Z | null | null | NONE | [] | null | null | {
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} | ### Feature request
`to_parquet` currently saves the dataset as one massive, monolithic parquet file, rather than as several small parquet files. It should shard large datasets automatically.
### Motivation
This default behavior makes me very sad because a program I ran for 6 hours saved its results using `to_... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/1643 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1643/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1643/comments | https://api.github.com/repos/huggingface/datasets/issues/1643/events | https://github.com/huggingface/datasets/issues/1643 | 775,280,046 | MDU6SXNzdWU3NzUyODAwNDY= | 1,643 | Dataset social_bias_frames 404 | {
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"I see, master is already fixed in https://github.com/huggingface/datasets/commit/9e058f098a0919efd03a136b9b9c3dec5076f626"
] | 2020-12-28T08:35:34Z | 2020-12-28T08:38:07Z | 2020-12-28T08:38:07Z | null | NONE | [] | null | null | {
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>>> from datasets import load_dataset
>>> dataset = load_dataset("social_bias_frames")
...
Downloading and preparing dataset social_bias_frames/default
...
~/.pyenv/versions/3.7.6/lib/python3.7/site-packages/datasets/utils/file_utils.py in get_from_cache(url, cache_dir, force_download, proxies, etag_timeout, ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5259 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5259/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5259/comments | https://api.github.com/repos/huggingface/datasets/issues/5259/events | https://github.com/huggingface/datasets/issues/5259 | 1,453,555,923 | I_kwDODunzps5Wo4DT | 5,259 | datasets 2.7 introduces sharding error | {
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"I notice a comment in the code says:\r\n`Having lists of different sizes makes sharding ambigious, raise an error in this case until we decide how to define sharding without ambiguity for users` \r\n \r\n ... which suggests this update was pushed knowing that it might break some things. But, it didn't seem to h... | 2022-11-17T15:36:52Z | 2022-12-24T01:44:02Z | 2022-11-18T12:52:05Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
dataset fails to load with runtime error
`RuntimeError: Sharding is ambiguous for this dataset: we found several data sources lists of different lengths, and we don't know over which list we should parallelize:
- key audio_files has length 46
- key data has length 0
To fix this, check the ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2080 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2080/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2080/comments | https://api.github.com/repos/huggingface/datasets/issues/2080/events | https://github.com/huggingface/datasets/issues/2080 | 835,023,000 | MDU6SXNzdWU4MzUwMjMwMDA= | 2,080 | Multidimensional arrays in a Dataset | {
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"Hi !\r\n\r\nThis is actually supported ! but not yet in `from_pandas`.\r\nYou can use `from_dict` for now instead:\r\n```python\r\nfrom datasets import Dataset, Array2D, Features, Value\r\nimport pandas as pd\r\nimport numpy as np\r\n\r\ndataset = {\r\n 'bbox': [\r\n np.array([[1,2,3,4],[1,2,3,4],[1,2,3,... | 2021-03-18T16:29:14Z | 2021-03-25T12:46:53Z | 2021-03-25T12:46:53Z | null | NONE | [] | null | null | {
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I'm trying to put together a `datasets.Dataset` to be used with LayoutLM which is available in `transformers`. This model requires as input the bounding boxes of each of the token of a sequence. This is when I realized that `Dataset` does not support multi-dimensional arrays as a value for a column in a row.
... | {
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https://api.github.com/repos/huggingface/datasets/issues/3209 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3209/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3209/comments | https://api.github.com/repos/huggingface/datasets/issues/3209/events | https://github.com/huggingface/datasets/issues/3209 | 1,044,505,771 | I_kwDODunzps4-QeSr | 3,209 | Unpin keras once TF fixes its release | {
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- #3208 | {
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https://api.github.com/repos/huggingface/datasets/issues/7360 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7360/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7360/comments | https://api.github.com/repos/huggingface/datasets/issues/7360/events | https://github.com/huggingface/datasets/issues/7360 | 2,771,751,406 | I_kwDODunzps6lNZHu | 7,360 | error when loading dataset in Hugging Face: NoneType error is not callable | {
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"Hi ! I couldn't reproduce on my side, can you try deleting your cache at `~/.cache/huggingface/modules/datasets_modules/datasets/InstaDeepAI--nucleotide_transformer_downstream_tasks_revised` and try again ? For some reason `datasets` wasn't able to find the DatasetBuilder class in the python script of this dataset... | 2025-01-07T02:11:36Z | 2025-02-24T13:32:52Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
I met an error when running a notebook provide by Hugging Face, and met the error.
```
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
Cell In[2], line 5
3 # Load the enhancers dat... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/3744 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3744/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3744/comments | https://api.github.com/repos/huggingface/datasets/issues/3744/events | https://github.com/huggingface/datasets/issues/3744 | 1,141,461,165 | I_kwDODunzps5ECVCt | 3,744 | Better shards shuffling in streaming mode | {
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} | Sometimes a dataset script has a `_split_generators` that returns several files as well as the corresponding metadata of each file. It often happens that they end up in two separate lists in the `gen_kwargs`:
```python
gen_kwargs = {
"files": [os.path.join(data_dir, filename) for filename in all_files],
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https://api.github.com/repos/huggingface/datasets/issues/762 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/762/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/762/comments | https://api.github.com/repos/huggingface/datasets/issues/762/events | https://github.com/huggingface/datasets/issues/762 | 730,586,972 | MDU6SXNzdWU3MzA1ODY5NzI= | 762 | [GEM] Add Czech Restaurant data-to-text generation dataset | {
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} | - Paper: https://www.aclweb.org/anthology/W19-8670.pdf
- Data: https://github.com/UFAL-DSG/cs_restaurant_dataset
- The dataset will likely be part of the GEM benchmark | {
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https://api.github.com/repos/huggingface/datasets/issues/6364 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6364/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6364/comments | https://api.github.com/repos/huggingface/datasets/issues/6364/events | https://github.com/huggingface/datasets/issues/6364 | 1,969,136,106 | I_kwDODunzps51XqHq | 6,364 | ArrowNotImplementedError: Unsupported cast from string to list using function cast_list | {
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"You can use the following code to load this CSV with the list values preserved:\r\n```python\r\nfrom datasets import load_dataset\r\nimport ast\r\n\r\nconverters = {\r\n \"contexts\" : ast.literal_eval,\r\n \"ground_truths\" : ast.literal_eval,\r\n}\r\n\r\nds = load_dataset(\"csv\", data_files=\"golden_datas... | 2023-10-30T20:14:01Z | 2023-10-31T19:21:23Z | 2023-10-31T19:21:23Z | null | NONE | [] | null | null | {
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I am trying to load a local csv dataset(similar to explodinggradients_fiqa) using load_dataset. When I try to pass features, I am facing the mentioned issue.
CSV Data sample(golden_dataset.csv):
Question | Context | answer | groundtruth
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https://api.github.com/repos/huggingface/datasets/issues/6 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6/comments | https://api.github.com/repos/huggingface/datasets/issues/6/events | https://github.com/huggingface/datasets/issues/6 | 600,330,836 | MDU6SXNzdWU2MDAzMzA4MzY= | 6 | Error when citation is not given in the DatasetInfo | {
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"Yes looks good to me.\r\nNote that we may refactor quite strongly the `info.py` to make it a lot simpler (it's very complicated for basically a dictionary of info I think)",
"No, problem ^^ It might just be a temporary fix :)",
"Fixed."
] | 2020-04-15T14:14:54Z | 2020-04-29T09:23:22Z | 2020-04-29T09:23:22Z | null | CONTRIBUTOR | [] | null | null | {
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```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/jplu/dev/jplu/datasets/src/nlp/info.py", line 338, in __repr__
citation_pprint = _indent('"""{}"""'.format(self.... | {
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https://api.github.com/repos/huggingface/datasets/issues/2705 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2705/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2705/comments | https://api.github.com/repos/huggingface/datasets/issues/2705/events | https://github.com/huggingface/datasets/issues/2705 | 950,488,583 | MDU6SXNzdWU5NTA0ODg1ODM= | 2,705 | 404 not found error on loading WIKIANN dataset | {
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"Hi @ronbutan, thanks for reporting.\r\n\r\nYou are right: we have recently found that the link to the original PAN-X dataset (also called WikiANN), hosted at Dropbox, is no longer working.\r\n\r\nWe have opened an issue in the GitHub repository of the original dataset (afshinrahimi/mmner#4) and we have also contac... | 2021-07-22T09:55:50Z | 2021-07-23T08:07:32Z | 2021-07-23T08:07:32Z | null | NONE | [] | null | null | {
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} | ## Describe the bug
Unable to retreive wikiann English dataset
## Steps to reproduce the bug
```python
from datasets import list_datasets, load_dataset, list_metrics, load_metric
WIKIANN = load_dataset("wikiann","en")
```
## Expected results
Colab notebook should display successful download status
## Act... | {
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https://api.github.com/repos/huggingface/datasets/issues/1856 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1856/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1856/comments | https://api.github.com/repos/huggingface/datasets/issues/1856/events | https://github.com/huggingface/datasets/issues/1856 | 805,360,200 | MDU6SXNzdWU4MDUzNjAyMDA= | 1,856 | load_dataset("amazon_polarity") NonMatchingChecksumError | {
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"Hi ! This issue may be related to #996 \r\nThis comes probably from the Quota Exceeded error from Google Drive.\r\nCan you try again tomorrow and see if you still have the error ?\r\n\r\nOn my side I didn't get any error today with `load_dataset(\"amazon_polarity\")`",
"+1 encountering this issue as well",
"@l... | 2021-02-10T10:00:56Z | 2022-03-15T13:55:24Z | 2022-03-15T13:55:23Z | null | NONE | [] | null | null | {
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} | Hi, it seems that loading the amazon_polarity dataset gives a NonMatchingChecksumError.
To reproduce:
```
load_dataset("amazon_polarity")
```
This will give the following error:
```
---------------------------------------------------------------------------
NonMatchingChecksumError Traceback ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5080 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5080/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5080/comments | https://api.github.com/repos/huggingface/datasets/issues/5080/events | https://github.com/huggingface/datasets/issues/5080 | 1,398,849,565 | I_kwDODunzps5TYMAd | 5,080 | Use hfh for caching | {
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"There is some discussion in https://github.com/huggingface/huggingface_hub/pull/1088 if it can help :)"
] | 2022-10-06T05:51:58Z | 2022-10-06T14:26:05Z | null | {
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} | ## Is your feature request related to a problem?
As previously discussed in our meeting with @Wauplin and agreed on our last datasets team sync meeting, I'm investigating how `datasets` can use `hfh` for caching.
## Describe the solution you'd like
Due to the peculiarities of the `datasets` cache, I would prop... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5170 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5170/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5170/comments | https://api.github.com/repos/huggingface/datasets/issues/5170/events | https://github.com/huggingface/datasets/issues/5170 | 1,425,301,835 | I_kwDODunzps5U9GFL | 5,170 | [Caching] Deterministic hashing of torch tensors | {
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```python
import torch
from datasets.fingerprint import Hasher
t = torch.tensor([1.])
def func(x):
return t + x
hash1 = Hasher.hash(func)
t = torch.tensor([1.])
hash2 = Hasher.hash(func)
assert hash1 == hash2
```
Also as noticed in https://discuss.huggingface.co/t/dataset-ca... | {
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https://api.github.com/repos/huggingface/datasets/issues/5442 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5442/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5442/comments | https://api.github.com/repos/huggingface/datasets/issues/5442/events | https://github.com/huggingface/datasets/issues/5442 | 1,550,084,450 | I_kwDODunzps5cZGli | 5,442 | OneDrive Integrations with HF Datasets | {
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"Hi! \r\n\r\nWe use [`fsspec`](https://github.com/fsspec/filesystem_spec) to integrate with storage providers. You can find more info (and the usage examples) in [our docs](https://huggingface.co/docs/datasets/v2.8.0/filesystems#download-and-prepare-a-dataset-into-a-cloud-storage).\r\n\r\n[`gdrivefs`](https://githu... | 2023-01-19T23:12:08Z | 2023-02-24T16:17:51Z | 2023-02-24T16:17:51Z | null | NONE | [] | null | null | {
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} | ### Feature request
First of all , I would like to thank all community who are developed DataSet storage and make it free available
How to integrate our Onedrive account or any other possible storage clouds (like google drive,...) with the **HF** datasets section.
For example, if I have **50GB** on my **Onedrive*... | {
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https://api.github.com/repos/huggingface/datasets/issues/4124 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4124/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4124/comments | https://api.github.com/repos/huggingface/datasets/issues/4124/events | https://github.com/huggingface/datasets/issues/4124 | 1,196,469,842 | I_kwDODunzps5HUK5S | 4,124 | Image decoding often fails when transforming Image datasets | {
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"A quick hack I have found is that we can call the image first before running the transforms and it makes sure the image is decoded before being passed on.\r\n\r\nFor this I just needed to add `example['img'] = example['img']` to the top of my `generate_flipped_data` function, defined above, so that image decode in... | 2022-04-07T19:17:25Z | 2022-04-13T14:01:16Z | 2022-04-13T14:01:16Z | {
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} | ## Describe the bug
When transforming/modifying images in an image dataset using the `map` function the PIL images often fail to decode in time for the image transforms, causing errors.
Using a debugger it is easy to see what the problem is, the Image decode invocation does not take place and the resulting image pa... | {
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https://api.github.com/repos/huggingface/datasets/issues/3265 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3265/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3265/comments | https://api.github.com/repos/huggingface/datasets/issues/3265/events | https://github.com/huggingface/datasets/issues/3265 | 1,052,666,558 | I_kwDODunzps4-vmq- | 3,265 | Checksum error for kilt_task_wow | {
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"Using `dataset = load_dataset(\"kilt_tasks\", \"wow\", ignore_verifications=True)` may fix it, but I do not think it is a elegant solution.",
"Hi @slyviacassell, thanks for reporting.\r\n\r\nYes, there is an issue with the checksum verification. I'm fixing it.\r\n\r\nAnd as you pointed out, in the meantime, you ... | 2021-11-13T12:04:17Z | 2021-11-16T11:23:53Z | 2021-11-16T11:21:58Z | {
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} | ## Describe the bug
Checksum failed when downloads kilt_tasks_wow. See error output for details.
## Steps to reproduce the bug
```python
import datasets
datasets.load_datasets('kilt_tasks','wow')
```
## Expected results
Download successful
## Actual results
```
Downloading and preparing dataset kilt_ta... | {
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https://api.github.com/repos/huggingface/datasets/issues/8065 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8065/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8065/comments | https://api.github.com/repos/huggingface/datasets/issues/8065/events | https://github.com/huggingface/datasets/issues/8065 | 4,073,606,584 | I_kwDODunzps7yzk24 | 8,065 | ARM audio support broken | {
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"See also https://github.com/NVIDIA/garak/issues/1622#issuecomment-3937720381",
"Hi @leondz , thanks for the detailed bug report — the description and reproduction steps are really clear.\n\nI’d love to take a shot at investigating and potentially fixing this issue. Before I start digging into the codebase, I jus... | 2026-03-13T22:06:36Z | 2026-03-23T14:16:47Z | null | null | CONTRIBUTOR | [] | null | null | {
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} | ### Describe the bug
`datasets` 4.0 moved to using `torchcodec` for audio datasets, which doesn't support ARM hardware under Linux and Windows
### Steps to reproduce the bug
try:
* Try to install `torchcodec` under Linux ARM64
or:
* Try to install `torchcodec` under Windows ARM64
or, on either of those platforms... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/3179 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3179/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3179/comments | https://api.github.com/repos/huggingface/datasets/issues/3179/events | https://github.com/huggingface/datasets/issues/3179 | 1,039,571,928 | I_kwDODunzps499pvY | 3,179 | Cannot load dataset when the config name is "special" | {
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"The issue is that the datasets are malformed. Not a bug with the datasets library"
] | 2021-10-29T13:30:47Z | 2021-10-29T13:35:21Z | 2021-10-29T13:35:21Z | null | COLLABORATOR | [] | null | null | {
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} | ## Describe the bug
After https://github.com/huggingface/datasets/pull/3159, we can get the config name of "Check/region_1", which is "Check___region_1".
But now we cannot load the dataset (not sure it's related to the above PR though). It's the case for all the similar datasets, listed in https://github.com/hugg... | {
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https://api.github.com/repos/huggingface/datasets/issues/3385 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3385/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3385/comments | https://api.github.com/repos/huggingface/datasets/issues/3385/events | https://github.com/huggingface/datasets/issues/3385 | 1,071,742,310 | I_kwDODunzps4_4X1m | 3,385 | None batched `with_transform`, `set_transform` | {
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"Hi ! Thanks for the suggestion :)\r\nIt makes sense to me, and it can surely be implemented by wrapping the user's function to make it a batched function. However I'm not a big fan of the inconsistency it would create with `map`: `with_transform` is batched by default while `map` isn't.\r\n\r\nIs there something y... | 2021-12-06T05:20:54Z | 2022-01-17T15:25:01Z | null | null | CONTRIBUTOR | [] | null | null | {
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} | **Is your feature request related to a problem? Please describe.**
A `torch.utils.data.Dataset.__getitem__` operates on a single example.
But 🤗 `Datasets.with_transform` doesn't seem to allow non-batched transform.
**Describe the solution you'd like**
Have a `batched=True` argument in `Datasets.with_transfor... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6494 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6494/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6494/comments | https://api.github.com/repos/huggingface/datasets/issues/6494/events | https://github.com/huggingface/datasets/issues/6494 | 2,039,684,839 | I_kwDODunzps55kx7n | 6,494 | Image Data loaded Twice | {
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When I learn from https://huggingface.co/docs/datasets/image_load and try to load image data from a folder. I noticed that the image was read twice in the returned data. As you can see i... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2387 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2387/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2387/comments | https://api.github.com/repos/huggingface/datasets/issues/2387/events | https://github.com/huggingface/datasets/issues/2387 | 897,566,666 | MDU6SXNzdWU4OTc1NjY2NjY= | 2,387 | datasets 1.6 ignores cache | {
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"Looks like there are multiple issues regarding this (#2386, #2322) and it's a WIP #2329. Currently these datasets are being loaded in-memory which is causing this issue. Quoting @mariosasko here for a quick fix:\r\n\r\n> set `keep_in_memory` to `False` when loading a dataset (`sst = load_dataset(\"sst\", keep_in_m... | 2021-05-21T00:12:58Z | 2021-05-26T16:07:54Z | 2021-05-26T16:07:54Z | {
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} | Moving from https://github.com/huggingface/transformers/issues/11801#issuecomment-845546612
Quoting @VictorSanh:
>
> I downgraded datasets to `1.5.0` and printed `tokenized_datasets.cache_files` (L335):
>
> > `{'train': [{'filename': '/home/victor/.cache/huggingface/datasets/openwebtext10k/plain_text/1.0.0/... | {
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https://api.github.com/repos/huggingface/datasets/issues/312 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/312/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/312/comments | https://api.github.com/repos/huggingface/datasets/issues/312/events | https://github.com/huggingface/datasets/issues/312 | 645,025,561 | MDU6SXNzdWU2NDUwMjU1NjE= | 312 | [Feature request] Add `shard()` method to dataset | {
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"Hi Jared,\r\nInteresting, thanks for raising this question. You can also do that after loading with `dataset.select()` or `dataset.filter()` which let you keep only a specific subset of rows in a dataset.\r\nWhat is your use-case for sharding?",
"Thanks for the pointer to those functions! It's still a little mor... | 2020-06-24T22:48:33Z | 2020-07-06T12:35:36Z | 2020-07-06T12:35:36Z | null | CONTRIBUTOR | [] | null | null | {
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} | Currently, to shard a dataset into 10 pieces on different ranks, you can run
```python
rank = 3 # for example
size = 10
dataset = nlp.load_dataset('wikitext', 'wikitext-2-raw-v1', split=f"train[{rank*10}%:{(rank+1)*10}%]")
```
However, this breaks down if you have a number of ranks that doesn't divide cleanly... | {
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https://api.github.com/repos/huggingface/datasets/issues/1290 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1290/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1290/comments | https://api.github.com/repos/huggingface/datasets/issues/1290/events | https://github.com/huggingface/datasets/issues/1290 | 759,339,989 | MDU6SXNzdWU3NTkzMzk5ODk= | 1,290 | imdb dataset cannot be downloaded | {
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"Hi @rabeehk , I am unable to reproduce your problem locally.\r\nCan you try emptying the cache (removing the content of `/idiap/temp/rkarimi/cache_home_1/datasets`) and retry ?",
"Hi,\r\nthanks, I did remove the cache and still the same error here\r\n\r\n```\r\n>>> a = datasets.load_dataset(\"imdb\", split=\"tra... | 2020-12-08T10:47:36Z | 2020-12-24T17:38:09Z | 2020-12-24T17:38:09Z | null | CONTRIBUTOR | [] | null | null | {
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please find error below getting imdb train spli:
thanks
`
datasets.load_dataset>>> datasets.load_dataset("imdb", split="train")`
errors
```
cahce dir /idiap/temp/rkarimi/cache_home_1/datasets
cahce dir /idiap/temp/rkarimi/cache_home_1/datasets
Downloading and preparing dataset imdb/plain_text (d... | {
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https://api.github.com/repos/huggingface/datasets/issues/2927 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2927/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2927/comments | https://api.github.com/repos/huggingface/datasets/issues/2927/events | https://github.com/huggingface/datasets/issues/2927 | 997,654,680 | I_kwDODunzps47dwCY | 2,927 | Datasets 1.12 dataset.filter TypeError: get_indices_from_mask_function() got an unexpected keyword argument | {
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"Thanks for reporting, I'm looking into it :)",
"Fixed by #2950."
] | 2021-09-16T01:14:02Z | 2021-09-20T16:23:22Z | 2021-09-20T16:23:21Z | {
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} | ## Describe the bug
Upgrading to 1.12 caused `dataset.filter` call to fail with
> get_indices_from_mask_function() got an unexpected keyword argument valid_rel_labels
## Steps to reproduce the bug
```pythondef
filter_good_rows(
ex: Dict,
valid_rel_labels: Set[str],
valid_ner_labels: Set[st... | {
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https://api.github.com/repos/huggingface/datasets/issues/6814 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6814/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6814/comments | https://api.github.com/repos/huggingface/datasets/issues/6814/events | https://github.com/huggingface/datasets/issues/6814 | 2,245,857,902 | I_kwDODunzps6F3RJu | 6,814 | `map` with `num_proc` > 1 leads to OOM | {
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"Hi ! You can try to reduce `writer_batch_size`. It corresponds to the number of samples that stay in RAM before being flushed to disk"
] | 2024-04-16T11:56:03Z | 2024-04-19T11:53:41Z | null | null | CONTRIBUTOR | [] | null | null | {
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} | ### Describe the bug
When running `map` on parquet dataset loaded from local machine, the RAM usage increases linearly eventually leading to OOM. I was wondering if I should I save the `cache_file` after every n steps in order to prevent this?
### Steps to reproduce the bug
```
ds = load_dataset("parquet", data... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2561 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2561/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2561/comments | https://api.github.com/repos/huggingface/datasets/issues/2561/events | https://github.com/huggingface/datasets/issues/2561 | 932,321,725 | MDU6SXNzdWU5MzIzMjE3MjU= | 2,561 | Existing cache for local dataset builder file updates is ignored with `ignore_verifications=True` | {
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"Hi ! I just tried to reproduce what you said:\r\n- create a local builder class\r\n- use `load_dataset`\r\n- update the builder class code\r\n- use `load_dataset` again (with or without `ignore_verifications=True`)\r\nAnd it creates a new cache, as expected.\r\n\r\nWhat modifications did you do to your builder's c... | 2021-06-29T07:43:03Z | 2022-08-04T11:58:36Z | 2022-08-04T11:58:36Z | null | CONTRIBUTOR | [] | null | null | {
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If i have local file defining a dataset builder class and I load it using `load_dataset` functionality, the existing cache is ignored whenever the file is update even with `ignore_verifications=True`. This slows down debugging and cache generator for very large datasets.
## Steps to reproduce th... | {
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https://api.github.com/repos/huggingface/datasets/issues/3568 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3568/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3568/comments | https://api.github.com/repos/huggingface/datasets/issues/3568/events | https://github.com/huggingface/datasets/issues/3568 | 1,100,380,631 | I_kwDODunzps5BlnnX | 3,568 | Downloading Hugging Face Medical Dialog Dataset NonMatchingSplitsSizesError | {
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"Hi @fabianslife, thanks for reporting.\r\n\r\nI think you were using an old version of `datasets` because this bug was already fixed in version `1.13.0` (13 Oct 2021):\r\n- Fix: 55fd140a63b8f03a0e72985647e498f1fc799d3f\r\n- PR: #3046\r\n- Issue: #2969 \r\n\r\nPlease, feel free to update the library: `pip install -... | 2022-01-12T14:03:44Z | 2022-02-14T09:32:34Z | 2022-02-14T09:32:34Z | {
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} | I wanted to download the Nedical Dialog Dataset from huggingface, using this github link:
https://github.com/huggingface/datasets/tree/master/datasets/medical_dialog
After downloading the raw datasets from google drive, i unpacked everything and put it in the same folder as the medical_dialog.py which is:
```
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https://api.github.com/repos/huggingface/datasets/issues/5275 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5275/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5275/comments | https://api.github.com/repos/huggingface/datasets/issues/5275/events | https://github.com/huggingface/datasets/issues/5275 | 1,459,358,919 | I_kwDODunzps5W_AzH | 5,275 | YAML integer keys are not preserved Hub server-side | {
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"@huggingface/datasets if you agree, I can make the bulk edit on the Hub to fix integer keys into strings.",
"Ok for me, and we can merge (internal) https://github.com/huggingface/moon-landing/pull/4609",
"FYI there are still 2k+ weekly users on `datasets` 2.6.1 which doesn't support the string label format for... | 2022-11-22T08:14:47Z | 2023-01-26T10:52:35Z | 2023-01-26T10:40:21Z | {
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} | After an internal discussion (https://github.com/huggingface/moon-landing/issues/4563):
- YAML integer keys are not preserved server-side: they are transformed to strings
- See for example this Hub PR: https://huggingface.co/datasets/acronym_identification/discussions/1/files
- Original:
```yaml
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https://api.github.com/repos/huggingface/datasets/issues/676 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/676/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/676/comments | https://api.github.com/repos/huggingface/datasets/issues/676/events | https://github.com/huggingface/datasets/issues/676 | 710,014,319 | MDU6SXNzdWU3MTAwMTQzMTk= | 676 | train_test_split returns empty dataset item | {
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"The problem still exists after removing the cache files.",
"Can you reproduce this example in a Colab so we can investigate? (or give more information on your software/hardware config)",
"Thanks for reporting.\r\nI just found the issue, I'm creating a PR",
"We'll do a release pretty soon to include the fix :... | 2020-09-28T07:19:33Z | 2020-10-07T13:46:33Z | 2020-10-07T13:38:06Z | null | NONE | [] | null | null | {
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} | I try to split my dataset by `train_test_split`, but after that the item in `train` and `test` `Dataset` is empty.
The codes:
```
yelp_data = datasets.load_from_disk('/home/ssd4/huanglianzhe/test_yelp')
print(yelp_data[0])
yelp_data = yelp_data.train_test_split(test_size=0.1)
print(yelp_data)
pri... | {
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https://api.github.com/repos/huggingface/datasets/issues/5286 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5286/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5286/comments | https://api.github.com/repos/huggingface/datasets/issues/5286/events | https://github.com/huggingface/datasets/issues/5286 | 1,461,908,087 | I_kwDODunzps5XIvJ3 | 5,286 | FileNotFoundError: Couldn't find file at https://dumps.wikimedia.org/enwiki/20220301/dumpstatus.json | {
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"I found a solution \r\n\r\nIf you specifically install datasets==1.18 and then run\r\n\r\nimport datasets\r\nwiki = datasets.load_dataset('wikipedia', '20200501.en')\r\nthen this should work (it worked for me.)",
"I have the same problem here but installing datasets==1.18 wont work for me\r\n",
"This works wit... | 2022-11-23T14:54:15Z | 2024-11-23T01:16:41Z | 2022-11-25T11:33:14Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
I follow the steps provided on the website [https://huggingface.co/datasets/wikipedia](https://huggingface.co/datasets/wikipedia)
$ pip install apache_beam mwparserfromhell
>>> from datasets import load_dataset
>>> load_dataset("wikipedia", "20220301.en")
however this results in the follo... | {
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https://api.github.com/repos/huggingface/datasets/issues/4261 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4261/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4261/comments | https://api.github.com/repos/huggingface/datasets/issues/4261/events | https://github.com/huggingface/datasets/issues/4261 | 1,221,883,779 | I_kwDODunzps5I1HeD | 4,261 | data leakage in `webis/conclugen` dataset | {
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"Hi @xflashxx, thanks for reporting.\r\n\r\nPlease note that this dataset was generated and shared by Webis Group: https://huggingface.co/webis\r\n\r\nWe are contacting the dataset owners to inform them about the issue you found. We'll keep you updated of their reply.",
"i'd suggest just pinging the authors here ... | 2022-04-30T17:43:37Z | 2022-05-03T06:04:26Z | 2022-05-03T06:04:26Z | {
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} | ## Describe the bug
Some samples (argument-conclusion pairs) in the *training* split of the `webis/conclugen` dataset are present in both the *validation* and *test* splits, creating data leakage and distorting model results.
Furthermore, all splits contain duplicate samples.
## Steps to reproduce the bug
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https://api.github.com/repos/huggingface/datasets/issues/2879 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2879/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2879/comments | https://api.github.com/repos/huggingface/datasets/issues/2879/events | https://github.com/huggingface/datasets/issues/2879 | 990,257,404 | MDU6SXNzdWU5OTAyNTc0MDQ= | 2,879 | In v1.4.1, all TIMIT train transcripts are "Would such an act of refusal be useful?" | {
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"Hi @rcgale, thanks for reporting.\r\n\r\nPlease note that this bug was fixed on `datasets` version 1.5.0: https://github.com/huggingface/datasets/commit/a23c73e526e1c30263834164f16f1fdf76722c8c#diff-f12a7a42d4673bb6c2ca5a40c92c29eb4fe3475908c84fd4ce4fad5dc2514878\r\n\r\nIf you update `datasets` version, that shoul... | 2021-09-07T18:53:45Z | 2021-09-08T16:55:19Z | 2021-09-08T09:12:28Z | null | NONE | [] | null | null | {
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} | ## Describe the bug
Using version 1.4.1 of `datasets`, TIMIT transcripts are all the same.
## Steps to reproduce the bug
I was following this tutorial
- https://huggingface.co/blog/fine-tune-wav2vec2-english
But here's a distilled repro:
```python
!pip install datasets==1.4.1
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https://api.github.com/repos/huggingface/datasets/issues/6912 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6912/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6912/comments | https://api.github.com/repos/huggingface/datasets/issues/6912/events | https://github.com/huggingface/datasets/issues/6912 | 2,309,365,961 | I_kwDODunzps6JpiDJ | 6,912 | Add MedImg for streaming | {
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"@mariosasko, @lhoestq, @albertvillanova\r\nHello! Can anyone help? or can you guys suggest who can help with this?",
"Hi ! Feel free to download the dataset and create a `Dataset` object with it.\r\n\r\nThen your'll be able to use `push_to_hub()` to upload the dataset to HF in Parquet format and make it streamab... | 2024-05-22T00:55:30Z | 2024-09-05T16:53:54Z | null | null | NONE | [] | null | null | {
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} | ### Feature request
Host the MedImg dataset (similar to Imagenet but for biomedical images).
### Motivation
There is a clear need for biomedical image foundation models and large scale biomedical datasets that are easily streamable. This would be an excellent tool for the biomedical community.
### Your con... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/852 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/852/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/852/comments | https://api.github.com/repos/huggingface/datasets/issues/852/events | https://github.com/huggingface/datasets/issues/852 | 743,396,240 | MDU6SXNzdWU3NDMzOTYyNDA= | 852 | wmt cannot be downloaded | {
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"url": "https://api.github.com/repos/huggingface/datasets/labels/dataset%20request"
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] | closed | false | [] | null | [] | 2020-11-16T01:04:41Z | 2020-11-16T09:31:58Z | 2020-11-16T09:31:58Z | null | CONTRIBUTOR | [] | null | null | {
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} | Hi, I appreciate your help with the following error, thanks
>>> from datasets import load_dataset
>>> dataset = load_dataset("wmt16", "ro-en", split="train")
Downloading and preparing dataset wmt16/ro-en (download: Unknown size, generated: Unknown size, post-processed: Unknown size, total: Unknown size) to /root/... | {
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https://api.github.com/repos/huggingface/datasets/issues/2158 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2158/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2158/comments | https://api.github.com/repos/huggingface/datasets/issues/2158/events | https://github.com/huggingface/datasets/issues/2158 | 848,506,746 | MDU6SXNzdWU4NDg1MDY3NDY= | 2,158 | viewer "fake_news_english" error | {
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"name": "nlp-viewer",
"node_id": "MDU6TGFiZWwyMTA3ODQxMDMy",
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"Thanks for reporting !\r\nThe viewer doesn't have all the dependencies of the datasets. We may add openpyxl to be able to show this dataset properly",
"This viewer tool is deprecated now and the new viewer at https://huggingface.co/datasets/fake_news_english works fine, so I'm closing this issue"
] | 2021-04-01T14:13:20Z | 2022-10-05T13:22:02Z | 2022-10-05T13:22:02Z | null | NONE | [] | null | null | {
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} | When I visit the [Huggingface - viewer](https://huggingface.co/datasets/viewer/) web site, under the dataset "fake_news_english" I've got this error:
> ImportError: To be able to use this dataset, you need to install the following dependencies['openpyxl'] using 'pip install # noqa: requires this pandas optional depe... | {
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https://api.github.com/repos/huggingface/datasets/issues/4085 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4085/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4085/comments | https://api.github.com/repos/huggingface/datasets/issues/4085/events | https://github.com/huggingface/datasets/issues/4085 | 1,190,621,345 | I_kwDODunzps5G93Ch | 4,085 | datasets.set_progress_bar_enabled(False) not working in datasets v2 | {
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"Now, I can't find any reference to set_progress_bar_enabled in the code.\r\n\r\nI think it have been deleted",
"Hi @virilo,\r\n\r\nPlease note that since `datasets` version 2.0.0, we have aligned with `transformers` the management of the progress bar (among other things):\r\n- #3897\r\n\r\nNow, you should update... | 2022-04-02T12:40:10Z | 2022-09-17T02:18:03Z | 2022-04-04T06:44:34Z | {
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} | ## Describe the bug
datasets.set_progress_bar_enabled(False) not working in datasets v2
## Steps to reproduce the bug
```python
datasets.set_progress_bar_enabled(False)
```
## Expected results
datasets not using any progress bar
## Actual results
AttributeError: module 'datasets' has no attribute 'se... | {
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https://api.github.com/repos/huggingface/datasets/issues/5963 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5963/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5963/comments | https://api.github.com/repos/huggingface/datasets/issues/5963/events | https://github.com/huggingface/datasets/issues/5963 | 1,762,774,457 | I_kwDODunzps5pEc25 | 5,963 | Got an error _pickle.PicklingError use Dataset.from_spark. | {
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"i got error using method from_spark when using multi-node Spark cluster. seems could only use \"from_spark\" in local?",
"@lhoestq ",
"cc @maddiedawson it looks like there an issue with `_validate_cache_dir` ?\r\n\r\nIt looks like the function passed to mapPartitions has a reference to the Spark dataset build... | 2023-06-19T05:30:35Z | 2023-07-24T11:55:46Z | 2023-07-24T11:55:46Z | null | NONE | [] | null | null | {
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} | python 3.9.2
Got an error _pickle.PicklingError use Dataset.from_spark.
Did the dataset import load data from spark dataframe using multi-node Spark cluster
df = spark.read.parquet(args.input_data).repartition(50)
ds = Dataset.from_spark(df, keep_in_memory=True,
cache_dir="... | {
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https://api.github.com/repos/huggingface/datasets/issues/3416 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3416/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3416/comments | https://api.github.com/repos/huggingface/datasets/issues/3416/events | https://github.com/huggingface/datasets/issues/3416 | 1,076,868,771 | I_kwDODunzps5AL7aj | 3,416 | disaster_response_messages unavailable | {
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"description": "Related to the dataset viewer on huggingface.co",
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"node_id": "LA_kwDODunzps7O1zsp",
"url": "https://api.github.com/repos/huggingface/datasets/labels/dataset-viewer"
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"Hi, thanks for reporting! This is a duplicate of https://github.com/huggingface/datasets/issues/3240. We are working on a fix.\r\n\r\n"
] | 2021-12-10T13:49:17Z | 2021-12-14T14:38:29Z | 2021-12-14T14:38:29Z | null | NONE | [] | null | null | {
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} | ## Dataset viewer issue for '* disaster_response_messages*'
**Link:** https://huggingface.co/datasets/disaster_response_messages
Dataset unavailable. Link dead: https://datasets.appen.com/appen_datasets/disaster_response_data/disaster_response_messages_training.csv
Am I the one who added this dataset ?No
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