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https://api.github.com/repos/huggingface/datasets/issues/4323 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4323/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4323/comments | https://api.github.com/repos/huggingface/datasets/issues/4323/events | https://github.com/huggingface/datasets/issues/4323 | 1,233,634,928 | I_kwDODunzps5Jh8Zw | 4,323 | Audio can not find value["bytes"] | {
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"\r\n\r\nthat is reason my bytes`s empty\r\nbut i have some confused why path prior is higher than bytes?\r\n\r\nif you can make bytes in _generate_examples , you don`t have to make bytes to path?\r\nbecau... | 2022-05-12T08:31:58Z | 2022-07-07T13:16:08Z | 2022-07-07T13:16:08Z | null | CONTRIBUTOR | [] | null | null | {
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} | ## Describe the bug
I wrote down _generate_examples like:
but where is the bytes?
## ... | {
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https://api.github.com/repos/huggingface/datasets/issues/1907 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1907/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1907/comments | https://api.github.com/repos/huggingface/datasets/issues/1907/events | https://github.com/huggingface/datasets/issues/1907 | 811,520,569 | MDU6SXNzdWU4MTE1MjA1Njk= | 1,907 | DBPedia14 Dataset Checksum bug? | {
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"Hi ! :)\r\n\r\nThis looks like the same issue as https://github.com/huggingface/datasets/issues/1856 \r\nBasically google drive has quota issues that makes it inconvenient for downloading files.\r\n\r\nIf the quota of a file is exceeded, you have to wait 24h for the quota to reset (which is painful).\r\n\r\nThe er... | 2021-02-18T22:25:48Z | 2021-02-22T23:22:05Z | 2021-02-22T23:22:04Z | null | CONTRIBUTOR | [] | null | null | {
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} | Hi there!!!
I've been using successfully the DBPedia dataset (https://huggingface.co/datasets/dbpedia_14) with my codebase in the last couple of weeks, but in the last couple of days now I get this error:
```
Traceback (most recent call last):
File "./conditional_classification/basic_pipeline.py", line 178, i... | {
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https://api.github.com/repos/huggingface/datasets/issues/3105 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3105/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3105/comments | https://api.github.com/repos/huggingface/datasets/issues/3105/events | https://github.com/huggingface/datasets/issues/3105 | 1,029,098,843 | I_kwDODunzps49Vs1b | 3,105 | download_mode=`force_redownload` does not work on removed datasets | {
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} | ## Describe the bug
If a cached dataset is removed from the library, I don't see how to delete it programmatically. I thought that using `force_redownload` would try to refresh the cache, then raise an exception, but it reuses the cache instead.
## Steps to reproduce the bug
_requires to already have `wit` in ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2299 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2299/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2299/comments | https://api.github.com/repos/huggingface/datasets/issues/2299/events | https://github.com/huggingface/datasets/issues/2299 | 873,914,717 | MDU6SXNzdWU4NzM5MTQ3MTc= | 2,299 | My iPhone | {
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} | ## Adding a Dataset
- **Name:** *name of the dataset*
- **Description:** *short description of the dataset (or link to social media or blog post)*
- **Paper:** *link to the dataset paper if available*
- **Data:** *link to the Github repository or current dataset location*
- **Motivation:** *what are some good reasons t... | {
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https://api.github.com/repos/huggingface/datasets/issues/651 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/651/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/651/comments | https://api.github.com/repos/huggingface/datasets/issues/651/events | https://github.com/huggingface/datasets/issues/651 | 705,212,034 | MDU6SXNzdWU3MDUyMTIwMzQ= | 651 | Problem with JSON dataset format | {
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"Currently the `json` dataset doesn't support this format unfortunately.\r\nHowever you could load it with\r\n```python\r\nfrom datasets import Dataset\r\nimport pandas as pd\r\n\r\ndf = pd.read_json(\"path_to_local.json\", orient=\"index\")\r\ndataset = Dataset.from_pandas(df)\r\n```",
"or you can make a custom ... | 2020-09-20T23:57:14Z | 2020-09-21T12:14:24Z | null | null | NONE | [] | null | null | {
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} | I have a local json dataset with the following form.
{
'id01234': {'key1': value1, 'key2': value2, 'key3': value3},
'id01235': {'key1': value1, 'key2': value2, 'key3': value3},
.
.
.
'id09999': {'key1': value1, 'key2': value2, 'key3': value3}
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Note that instead of a list of records i... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2841 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2841/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2841/comments | https://api.github.com/repos/huggingface/datasets/issues/2841/events | https://github.com/huggingface/datasets/issues/2841 | 980,497,321 | MDU6SXNzdWU5ODA0OTczMjE= | 2,841 | Adding GLUECoS Hinglish and Spanglish code-switching bemchmark | {
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"Hi @yjernite I am interested in adding this dataset. \r\nIn the repo they have also added a code mixed MT task from English to Hinglish [here](https://github.com/microsoft/GLUECoS#code-mixed-machine-translation-task). I think this could be a good dataset addition in itself and then I can add the rest of the GLUECo... | 2021-08-26T17:47:39Z | 2021-10-20T18:41:20Z | null | null | MEMBER | [] | null | null | {
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} | ## Adding a Dataset
- **Name:** GLUECoS
- **Description:** a Microsoft Benchmark to evaluate code-switching for only two language pairs but a variety of tasks
- **Paper:** https://aclanthology.org/2020.acl-main.329/
- **Data:** https://github.com/microsoft/GLUECoS
- **Motivation:** We currently only have [one othe... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/4575 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4575/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4575/comments | https://api.github.com/repos/huggingface/datasets/issues/4575/events | https://github.com/huggingface/datasets/issues/4575 | 1,285,446,700 | I_kwDODunzps5Mnlws | 4,575 | Problem about wmt17 zh-en dataset | {
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"Running into the same error with `wmt17/zh-en`, `wmt18/zh-en` and `wmt19/zh-en`.",
"@albertvillanova @lhoestq Could you take a look at this issue?",
"@winterfell2021 Hi, I wonder where the code you provided should be added. I tried to add them in the `datasets/table.py` in `array_cast` function, however, the '... | 2022-06-27T08:35:42Z | 2022-08-23T10:01:02Z | 2022-08-23T10:00:21Z | {
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} | It seems that in subset casia2015, some samples are like `{'c[hn]':'xxx', 'en': 'aa'}`.
So when using `data = load_dataset('wmt17', "zh-en")` to load the wmt17 zh-en dataset, which will raise the exception:
```
Traceback (most recent call last):
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https://api.github.com/repos/huggingface/datasets/issues/1709 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1709/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1709/comments | https://api.github.com/repos/huggingface/datasets/issues/1709/events | https://github.com/huggingface/datasets/issues/1709 | 781,875,640 | MDU6SXNzdWU3ODE4NzU2NDA= | 1,709 | Databases | {
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} | ## Adding a Dataset
- **Name:** *name of the dataset*
- **Description:** *short description of the dataset (or link to social media or blog post)*
- **Paper:** *link to the dataset paper if available*
- **Data:** *link to the Github repository or current dataset location*
- **Motivation:** *what are some good reasons t... | {
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https://api.github.com/repos/huggingface/datasets/issues/7479 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7479/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7479/comments | https://api.github.com/repos/huggingface/datasets/issues/7479/events | https://github.com/huggingface/datasets/issues/7479 | 2,950,235,396 | I_kwDODunzps6v2QUE | 7,479 | Features.from_arrow_schema is destructive | {
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} | ### Describe the bug
I came across this, perhaps niche, bug where `Features` does not/cannot account for pyarrow's `nullable=False` option in Fields. Interestingly, I found that in regular "flat" fields this does not necessarily lead to conflicts, but when a non-nullable field is in a struct, an incompatibility arises... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6199 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6199/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6199/comments | https://api.github.com/repos/huggingface/datasets/issues/6199/events | https://github.com/huggingface/datasets/issues/6199 | 1,875,165,185 | I_kwDODunzps5vxMAB | 6,199 | Use load_dataset for local json files, but it not works | {
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"Hugging Face's datasets library may prioritize remote configurations. Make sure there are no conflicting configurations causing the library to prefer downloading data\r\nMay be try debugging\r\nraw_datasets = load_dataset('json', data_files=data_files)\r\nprint(raw_datasets)\r\n",
"It doesn't download them but ... | 2023-08-31T09:42:34Z | 2023-08-31T19:05:07Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
when I use load_dataset to load my local datasets，it always goes to Hugging Face to download the data instead of loading the local dataset.
### Steps to reproduce the bug
`raw_datasets = load_dataset(
‘json’,
data_files=data_files)`
### Expected behavior
![image](https://gi... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/1836 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1836/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1836/comments | https://api.github.com/repos/huggingface/datasets/issues/1836/events | https://github.com/huggingface/datasets/issues/1836 | 803,531,837 | MDU6SXNzdWU4MDM1MzE4Mzc= | 1,836 | test.json has been removed from the limit dataset repo (breaks dataset) | {
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"Thanks for the heads up ! I'm opening a PR to fix that"
] | 2021-02-08T12:45:53Z | 2021-02-10T16:14:58Z | 2021-02-10T16:14:58Z | null | NONE | [] | null | null | {
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The URL is not valid anymore since test.json has been removed in master for some reason. Directly referencing the last commit works:
`https://raw.githubusercontent.com/ilmgut/limit_dataset/0707d3989cd... | {
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https://api.github.com/repos/huggingface/datasets/issues/2347 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2347/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2347/comments | https://api.github.com/repos/huggingface/datasets/issues/2347/events | https://github.com/huggingface/datasets/issues/2347 | 887,404,868 | MDU6SXNzdWU4ODc0MDQ4Njg= | 2,347 | Add an API to access the language and pretty name of a dataset | {
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"Hi ! With @bhavitvyamalik we discussed about having something like\r\n```python\r\nfrom datasets import load_dataset_card\r\n\r\ndataset_card = load_dataset_card(\"squad\")\r\nprint(dataset_card.metadata.pretty_name)\r\n# Stanford Question Answering Dataset (SQuAD)\r\nprint(dataset_card.metadata.languages)\r\n# [\... | 2021-05-11T14:10:08Z | 2022-10-05T17:16:54Z | 2022-10-05T17:16:53Z | null | CONTRIBUTOR | [] | null | null | {
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} | It would be super nice to have an API to get some metadata of the dataset from the name and args passed to `load_dataset`. This way we could programmatically infer the language and the name of a dataset when creating model cards automatically in the Transformers examples scripts. | {
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https://api.github.com/repos/huggingface/datasets/issues/7276 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7276/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7276/comments | https://api.github.com/repos/huggingface/datasets/issues/7276/events | https://github.com/huggingface/datasets/issues/7276 | 2,631,917,431 | I_kwDODunzps6c3993 | 7,276 | Accessing audio dataset value throws Format not recognised error | {
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"Hi ! can you try if this works ?\r\n\r\n```python\r\nimport soundfile as sf\r\n\r\nwith open('C:\\\\Users\\\\Nawaz-Server\\\\.cache\\\\huggingface\\\\hub\\\\datasets--fawazahmed0--bug-audio\\\\snapshots\\\\fab1398431fed1c0a2a7bff0945465bab8b5daef\\\\data\\\\Ghamadi\\\\037136.mp3', 'rb') as f:\r\n print(sf.read(... | 2024-11-04T05:59:13Z | 2024-11-09T18:51:52Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
Accessing audio dataset value throws `Format not recognised error`
### Steps to reproduce the bug
**code:**
```py
from datasets import load_dataset
dataset = load_dataset("fawazahmed0/bug-audio")
for data in dataset["train"]:
print(data)
```
**output:**
```bash
(mypy) ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/729 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/729/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/729/comments | https://api.github.com/repos/huggingface/datasets/issues/729/events | https://github.com/huggingface/datasets/issues/729 | 719,558,876 | MDU6SXNzdWU3MTk1NTg4NzY= | 729 | Better error message when one forgets to call `add_batch` before `compute` | {
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} | When using metrics, if for some reason a user forgets to call `add_batch` to a metric before `compute` (with no arguments), the error message is a bit cryptic and could probably be made clearer.
## Reproducer
```python
import datasets
import torch
from datasets import Metric
class GatherMetric(Metric):
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https://api.github.com/repos/huggingface/datasets/issues/4829 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4829/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4829/comments | https://api.github.com/repos/huggingface/datasets/issues/4829/events | https://github.com/huggingface/datasets/issues/4829 | 1,336,068,068 | I_kwDODunzps5Posfk | 4,829 | Misalignment between card tag validation and docs | {
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"(Note that the doc is aligned with the hub validation rules, and the \"ground truth\" is the hub validation rules given that they apply to all datasets, not just the canonical ones)",
"Instead of our own implementation, we now use `huggingface_hub`'s `DatasetCardData`, which has the correct type hint, so I think... | 2022-08-11T14:44:45Z | 2023-07-21T15:38:02Z | null | null | MEMBER | [] | null | null | {
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} | ## Describe the bug
As pointed out in other issue: https://github.com/huggingface/datasets/pull/4827#discussion_r943536284
the validation of the dataset card tags is not aligned with its documentation: e.g.
- implementation: `license: List[str]`
- docs: `license: Union[str, List[str]]`
They should be aligned.
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6099 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6099/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6099/comments | https://api.github.com/repos/huggingface/datasets/issues/6099/events | https://github.com/huggingface/datasets/issues/6099 | 1,827,893,576 | I_kwDODunzps5s83FI | 6,099 | How do i get "amazon_us_reviews | {
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"Seems like the problem isn't with the library, but the dataset itself hosted on AWS S3.\r\n\r\nIts [homepage](https://s3.amazonaws.com/amazon-reviews-pds/readme.html) returns an `AccessDenied` XML response, which is the same thing you get if you try to log the `record` that triggers the exception\r\n\r\n```python\... | 2023-07-30T11:02:17Z | 2023-08-21T05:08:08Z | 2023-08-10T05:02:35Z | null | NONE | [] | null | null | {
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} | ### Feature request
I have been trying to load 'amazon_us_dataset" but unable to do so.
`amazon_us_reviews = load_dataset('amazon_us_reviews')`
`print(amazon_us_reviews)`
> [ValueError: Config name is missing.
Please pick one among the available configs: ['Wireless_v1_00', 'Watches_v1_00', 'Video_Games_v1... | {
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https://api.github.com/repos/huggingface/datasets/issues/2724 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2724/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2724/comments | https://api.github.com/repos/huggingface/datasets/issues/2724/events | https://github.com/huggingface/datasets/issues/2724 | 954,919,607 | MDU6SXNzdWU5NTQ5MTk2MDc= | 2,724 | 404 Error when loading remote data files from private repo | {
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"I guess the issue is when computing the ETags of the remote files. Indeed `use_auth_token` must be passed to `request_etags` here:\r\n\r\nhttps://github.com/huggingface/datasets/blob/35b5e4bc0cb2ed896e40f3eb2a4aa3de1cb1a6c5/src/datasets/builder.py#L160-L160",
"Yes, I remember having properly implemented that: \r... | 2021-07-28T14:24:23Z | 2021-07-29T04:58:49Z | 2021-07-28T16:38:01Z | {
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} | ## Describe the bug
When loading remote data files from a private repo, a 404 error is raised.
## Steps to reproduce the bug
```python
url = hf_hub_url("lewtun/asr-preds-test", "preds.jsonl", repo_type="dataset")
dset = load_dataset("json", data_files=url, use_auth_token=True)
# HTTPError: 404 Client Error: Not... | {
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https://api.github.com/repos/huggingface/datasets/issues/7837 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7837/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7837/comments | https://api.github.com/repos/huggingface/datasets/issues/7837/events | https://github.com/huggingface/datasets/issues/7837 | 3,575,454,726 | I_kwDODunzps7VHRwG | 7,837 | mono parameter to the Audio feature is missing | {
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"Hey, we removed the misleading passage in the docstring and enabled support for `num_channels` as torchcodec does",
"thanks!"
] | 2025-10-31T15:41:39Z | 2025-11-03T15:59:18Z | 2025-11-03T14:24:12Z | null | NONE | [] | null | null | {
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} | According to the docs, there is a "mono" parameter to the Audio feature, which turns any stereo into mono. In practice the signal is not touched and the mono parameter, even though documented, does not exist.
https://github.com/huggingface/datasets/blob/41c05299348a499807432ab476e1cdc4143c8772/src/datasets/features/a... | {
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https://api.github.com/repos/huggingface/datasets/issues/7586 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7586/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7586/comments | https://api.github.com/repos/huggingface/datasets/issues/7586/events | https://github.com/huggingface/datasets/issues/7586 | 3,091,320,431 | I_kwDODunzps64Qc5v | 7,586 | help is appreciated | {
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"how is this related to this repository ?"
] | 2025-05-26T14:00:42Z | 2025-05-26T18:21:57Z | null | null | NONE | [] | null | null | {
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} | ### Feature request
https://github.com/rajasekarnp1/neural-audio-upscaler/tree/main
### Motivation
ai model develpment and audio
### Your contribution
ai model develpment and audio | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2657 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2657/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2657/comments | https://api.github.com/repos/huggingface/datasets/issues/2657/events | https://github.com/huggingface/datasets/issues/2657 | 945,822,829 | MDU6SXNzdWU5NDU4MjI4Mjk= | 2,657 | `to_json` reporting enhancements | {
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] | open | false | [] | null | [] | 2021-07-15T23:32:18Z | 2021-07-15T23:33:53Z | null | null | CONTRIBUTOR | [] | null | null | {
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} | While using `to_json` 2 things came to mind that would have made the experience easier on the user:
1. Could we have a `desc` arg for the tqdm use and a fallback to just `to_json` so that it'd be clear to the user what's happening? Surely, one can just print the description before calling json, but I thought perhaps... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5399 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5399/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5399/comments | https://api.github.com/repos/huggingface/datasets/issues/5399/events | https://github.com/huggingface/datasets/issues/5399 | 1,515,548,427 | I_kwDODunzps5aVW8L | 5,399 | Got disconnected from remote data host. Retrying in 5sec [2/20] | {
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} | ### Describe the bug
While trying to upload my image dataset of a CSV file type to huggingface by running the below code. The dataset consists of a little over 100k of image-caption pairs
### Steps to reproduce the bug
```
df = pd.read_csv('x.csv', encoding='utf-8-sig')
features = Features({
'link': Ima... | {
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https://api.github.com/repos/huggingface/datasets/issues/5880 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5880/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5880/comments | https://api.github.com/repos/huggingface/datasets/issues/5880/events | https://github.com/huggingface/datasets/issues/5880 | 1,719,090,101 | I_kwDODunzps5mdzu1 | 5,880 | load_dataset from s3 file system through streaming can't not iterate data | {
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"This sounds related to #5281.\r\n\r\nCan you try passing `storage_options=s3_client.storage_options` instead passing it to `use_auth_token=` ?",
"I tried `storage_options` before, but it doesn't work, I checked our source code and I found that we even didn't pass this parameter to the following process. if I use... | 2023-05-22T07:40:27Z | 2023-05-26T12:52:08Z | null | null | CONTRIBUTOR | [] | null | null | {
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I have a JSON file in my s3 file system(minio), I can use load_dataset to get the file link, but I can't iterate it
<img width="816" alt="image" src="https://github.com/huggingface/datasets/assets/59083384/cc0778d3-36f3-45b5-ac68-4e7c664c2ed0">
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https://api.github.com/repos/huggingface/datasets/issues/3171 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3171/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3171/comments | https://api.github.com/repos/huggingface/datasets/issues/3171/events | https://github.com/huggingface/datasets/issues/3171 | 1,037,728,059 | I_kwDODunzps492nk7 | 3,171 | Raise exceptions instead of using assertions for control flow | {
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"Adding the remaining tasks for this issue to help new code contributors. \r\n$ cd src/datasets && ack assert -lc \r\n- [x] commands/convert.py:1\r\n- [x] arrow_reader.py:3\r\n- [x] load.py:7\r\n- [x] utils/py_utils.py:2\r\n- [x] features/features.py:9\r\n- [x] arrow_writer.py:7\r\n- [x] search.py:6\r\n- [x] table... | 2021-10-27T18:26:52Z | 2021-12-23T16:40:37Z | 2021-12-23T16:40:37Z | null | COLLABORATOR | [] | null | null | {
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} | Motivated by https://github.com/huggingface/transformers/issues/12789 in Transformers, one welcoming change would be replacing assertions with proper exceptions. The only type of assertions we should keep are those used as sanity checks.
Currently, there is a total of 87 files with the `assert` statements (located u... | {
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https://api.github.com/repos/huggingface/datasets/issues/3139 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3139/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3139/comments | https://api.github.com/repos/huggingface/datasets/issues/3139/events | https://github.com/huggingface/datasets/issues/3139 | 1,033,524,079 | I_kwDODunzps49mlNv | 3,139 | Fix file/directory deletion on Windows | {
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} | Currently, on Windows, some attempts to delete a dataset file/directory will fail with the `PerimissionError`.
Examples:
- download a dataset, then force redownload it in the same session while keeping a reference to the downloaded dataset
```python
from datasets import load_dataset
dset = load_dataset("sst", s... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/1959 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1959/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1959/comments | https://api.github.com/repos/huggingface/datasets/issues/1959/events | https://github.com/huggingface/datasets/issues/1959 | 818,055,644 | MDU6SXNzdWU4MTgwNTU2NDQ= | 1,959 | Bug in skip_rows argument of load_dataset function ? | {
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"Hi,\r\n\r\ntry `skiprows` instead. This part is not properly documented in the docs it seems.\r\n\r\n@lhoestq I'll fix this as part of a bigger PR that fixes typos in the docs."
] | 2021-02-27T23:32:54Z | 2021-03-09T10:21:32Z | 2021-03-09T10:21:32Z | null | NONE | [] | null | null | {
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I'm quite new to Git so sorry in advance if I'm breaking some ground rules of issues posting... :/
I tried to use the load_dataset function, from Huggingface datasets library, on a csv file using the skip_rows argument described on Huggingface page to skip the first row containing column names
`t... | {
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https://api.github.com/repos/huggingface/datasets/issues/6720 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6720/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6720/comments | https://api.github.com/repos/huggingface/datasets/issues/6720/events | https://github.com/huggingface/datasets/issues/6720 | 2,173,603,459 | I_kwDODunzps6Bjo6D | 6,720 | TypeError: 'str' object is not callable | {
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"Hi ! I opened a PR to fix an issue in the Features defined in your code\r\n\r\nBasically changing\r\n```python\r\nSequence(\"float32\")\r\n```\r\n\r\nto\r\n```python\r\nSequence(Value(\"float32\"))\r\n```\r\n\r\n\r\nhttps://huggingface.co/datasets/BramVanroy/hplt_mono_v1_2/discussions/1",
"D'oh! Was wondering wh... | 2024-03-07T11:07:09Z | 2024-03-08T07:34:53Z | 2024-03-07T15:13:58Z | null | CONTRIBUTOR | [] | null | null | {
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} | ### Describe the bug
I am trying to get the HPLT datasets on the hub. Downloading/re-uploading would be too time- and resource consuming so I wrote [a dataset loader script](https://huggingface.co/datasets/BramVanroy/hplt_mono_v1_2/blob/main/hplt_mono_v1_2.py). I think I am very close but for some reason I always get ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6867 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6867/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6867/comments | https://api.github.com/repos/huggingface/datasets/issues/6867/events | https://github.com/huggingface/datasets/issues/6867 | 2,279,059,787 | I_kwDODunzps6H17FL | 6,867 | Improve performance of JSON loader | {
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"Thanks! Feel free to ping me for examples. May not respond immediately because we're all busy but would like to help.",
"Hi @natolambert, could you please give some examples of JSON files to benchmark?\r\n\r\nPlease note that this JSON file (https://huggingface.co/datasets/allenai/reward-bench-results/blob/main/... | 2024-05-04T15:04:16Z | 2024-05-17T16:22:28Z | 2024-05-17T16:22:28Z | {
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The cause is that we use the `json` Python standard library instead of other faster libraries. See my old comment: https://github.com/huggingface/datasets/pull/2638#pullrequestreview-706983714
> There are benchmarks that... | {
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https://api.github.com/repos/huggingface/datasets/issues/870 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/870/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/870/comments | https://api.github.com/repos/huggingface/datasets/issues/870/events | https://github.com/huggingface/datasets/issues/870 | 747,021,996 | MDU6SXNzdWU3NDcwMjE5OTY= | 870 | [Feature Request] Add optional parameter in text loading script to preserve linebreaks | {
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"Hi ! Thanks for your message.\r\nIndeed it's a free feature we can add and that can be useful.\r\nIf you want to contribute, feel free to open a PR to add it to the text dataset script :)",
"Resolved via #1913."
] | 2020-11-19T23:51:31Z | 2022-06-01T15:25:53Z | 2022-06-01T15:25:52Z | null | NONE | [] | null | null | {
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} | I'm working on a project about rhyming verse using phonetic poetry and song lyrics, and line breaks are a vital part of the data.
I recently switched over to use the datasets library when my various corpora grew larger than my computer's memory. And so far, it is SO great.
But the first time I processed all of ... | {
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https://api.github.com/repos/huggingface/datasets/issues/3453 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3453/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3453/comments | https://api.github.com/repos/huggingface/datasets/issues/3453/events | https://github.com/huggingface/datasets/issues/3453 | 1,084,515,911 | I_kwDODunzps5ApGZH | 3,453 | ValueError while iter_archive | {
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} | ## Describe the bug
After the merge of:
- #3443
the method `iter_archive` throws a ValueError:
```
ValueError: read of closed file
```
## Steps to reproduce the bug
```python
for path, file in dl_manager.iter_archive(archive_path):
pass
```
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https://api.github.com/repos/huggingface/datasets/issues/3640 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3640/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3640/comments | https://api.github.com/repos/huggingface/datasets/issues/3640/events | https://github.com/huggingface/datasets/issues/3640 | 1,116,133,769 | I_kwDODunzps5ChtmJ | 3,640 | Issues with custom dataset in Wav2Vec2 | {
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"Closed and moved to transformers."
] | 2022-01-27T12:09:05Z | 2022-01-27T12:29:48Z | 2022-01-27T12:29:48Z | null | NONE | [] | null | null | {
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} | We are training Vav2Vec using the run_speech_recognition_ctc_bnb.py-script.
This is working fine with Common Voice, however using our custom dataset and data loader at [NbAiLab/NPSC]( https://huggingface.co/datasets/NbAiLab/NPSC) it crashes after roughly 1 epoch with the following stack trace:
![image](https://us... | {
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https://api.github.com/repos/huggingface/datasets/issues/565 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/565/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/565/comments | https://api.github.com/repos/huggingface/datasets/issues/565/events | https://github.com/huggingface/datasets/issues/565 | 691,039,121 | MDU6SXNzdWU2OTEwMzkxMjE= | 565 | No module named 'nlp.logging' | {
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"Thanks for reporting.\r\n\r\nApparently this is a versioning issue: the lib downloaded the `bleurt` script from the master branch where we did this change recently. We'll fix that in a new release this week or early next week. Cc @thomwolf \r\n\r\nUntil that, I'd suggest you to download the right bleurt folder fro... | 2020-09-02T13:49:50Z | 2020-09-03T07:29:50Z | 2020-09-03T07:29:50Z | null | NONE | [] | null | null | {
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} | Hi, I am using nlp version 0.4.0. Trying to use bleurt as an eval metric, however, the bleurt script imports nlp.logging which creates the following error. What am I missing?
```
>>> import nlp
2020-09-02 13:47:09.210310: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic l... | {
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https://api.github.com/repos/huggingface/datasets/issues/1956 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1956/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1956/comments | https://api.github.com/repos/huggingface/datasets/issues/1956/events | https://github.com/huggingface/datasets/issues/1956 | 818,013,741 | MDU6SXNzdWU4MTgwMTM3NDE= | 1,956 | [distributed env] potentially unsafe parallel execution | {
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"You can pass the same `experiment_id` for all the metrics of the same group, and use another `experiment_id` for the other groups.\r\nMaybe we can add an environment variable that sets the default value for `experiment_id` ? What do you think ?",
"Ah, you're absolutely correct, @lhoestq - it's exactly the equiva... | 2021-02-27T20:38:45Z | 2021-03-01T17:24:42Z | 2021-03-01T17:24:42Z | null | CONTRIBUTOR | [] | null | null | {
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metric = load_metric('glue', 'mrpc', num_process=num_process, process_id=rank)
```
presumes that there is only one set of parallel processes running - and will intermittently fail if you have multiple sets running as they will surely overwrite each other. Similar to https://github.com/huggingface/datasets/issu... | {
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https://api.github.com/repos/huggingface/datasets/issues/3239 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3239/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3239/comments | https://api.github.com/repos/huggingface/datasets/issues/3239/events | https://github.com/huggingface/datasets/issues/3239 | 1,048,360,232 | I_kwDODunzps4-fLUo | 3,239 | Inconsistent performance of the "arabic_billion_words" dataset | {
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} | ## Describe the bug
When downloaded from macine 1 the dataset is downloaded and parsed correctly.
When downloaded from machine two (which has a different cache directory),
the following script:
import datasets
from datasets import load_dataset
raw_dataset_elkhair_1 = load_dataset('arabic_billion_words', 'Alitti... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5738 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5738/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5738/comments | https://api.github.com/repos/huggingface/datasets/issues/5738/events | https://github.com/huggingface/datasets/issues/5738 | 1,663,477,690 | I_kwDODunzps5jJqe6 | 5,738 | load_dataset("text","dataset.txt") loads the wrong dataset! | {
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"You need to provide a text file as `data_files`, not as a configuration:\r\n\r\n```python\r\nmy_dataset = load_dataset(\"text\", data_files=\"TextFile.txt\")\r\n```\r\n\r\nOtherwise, since `data_files` is `None`, it picks up Colab's sample datasets from the `content` dir."
] | 2023-04-12T01:07:46Z | 2023-04-19T12:08:27Z | 2023-04-19T12:08:27Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
I am trying to load my own custom text dataset using the load_dataset function. My dataset is a bunch of ordered text, think along the lines of shakespeare plays. However, after I load the dataset and I inspect it, the dataset is a table with a bunch of latitude and longitude values! What in th... | {
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https://api.github.com/repos/huggingface/datasets/issues/3264 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3264/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3264/comments | https://api.github.com/repos/huggingface/datasets/issues/3264/events | https://github.com/huggingface/datasets/issues/3264 | 1,052,663,513 | I_kwDODunzps4-vl7Z | 3,264 | Downloading URL change for WikiAuto Manual, jeopardy and definite_pronoun_resolution | {
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"#take\r\nI am willing to fix this. Links can be replaced for WikiAuto Manual and jeopardy with new ones provided by authors.\r\n\r\nAs for the definite_pronoun_resolution URL, a certificate error seems to be preventing a download. I have the files on my local machine. I can include them in the dataset folder as th... | 2021-11-13T11:47:12Z | 2022-06-01T17:38:16Z | 2022-06-01T17:38:16Z | null | NONE | [] | null | null | {
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} | ## Describe the bug
- WikiAuto Manual
The original manual datasets with the following downloading URL in this [repository](https://github.com/chaojiang06/wiki-auto) was [deleted](https://github.com/chaojiang06/wiki-auto/commit/0af9b066f2b4e02726fb8a9be49283c0ad25367f) by the author.
```
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https://api.github.com/repos/huggingface/datasets/issues/5781 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5781/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5781/comments | https://api.github.com/repos/huggingface/datasets/issues/5781/events | https://github.com/huggingface/datasets/issues/5781 | 1,679,580,460 | I_kwDODunzps5kHF0s | 5,781 | Error using `load_datasets` | {
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"It looks like an issue with your installation of scipy, can you try reinstalling it ?",
"Sorry for the late reply, but that worked @lhoestq . Thanks for the assist."
] | 2023-04-22T15:10:44Z | 2023-05-02T23:41:25Z | 2023-05-02T23:41:25Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
I tried to load a dataset using the `datasets` library in a conda jupyter notebook and got the below error.
```
ImportError: dlopen(/Users/gilbertyoung/miniforge3/envs/review_sense/lib/python3.8/site-packages/scipy/sparse/linalg/_isolve/_iterative.cpython-38-darwin.so, 0x0002): Library not ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5725 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5725/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5725/comments | https://api.github.com/repos/huggingface/datasets/issues/5725/events | https://github.com/huggingface/datasets/issues/5725 | 1,660,455,202 | I_kwDODunzps5i-Iki | 5,725 | How to limit the number of examples in dataset, for testing? | {
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"Hi! You can use the `nrows` parameter for this:\r\n```python\r\ndata = load_dataset(\"json\", data_files=data_path, nrows=10)\r\n```",
"@mariosasko I get:\r\n\r\n`TypeError: __init__() got an unexpected keyword argument 'nrows'`",
"I misread the format in which the dataset is stored - the `nrows` parameter wo... | 2023-04-10T08:41:43Z | 2023-04-21T06:16:24Z | 2023-04-21T06:16:24Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
I am using this command:
`data = load_dataset("json", data_files=data_path)`
However, I want to add a parameter, to limit the number of loaded examples to be 10, for development purposes, but can't find this simple parameter.
### Steps to reproduce the bug
In the description.
### Expected beh... | {
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https://api.github.com/repos/huggingface/datasets/issues/4730 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4730/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4730/comments | https://api.github.com/repos/huggingface/datasets/issues/4730/events | https://github.com/huggingface/datasets/issues/4730 | 1,313,421,263 | I_kwDODunzps5OSTfP | 4,730 | Loading imagenet-1k validation split takes much more RAM than expected | {
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"My bad, `482 * 418 * 50000 * 3 / 1000000 = 30221 MB` ( https://stackoverflow.com/a/42979315 ).\r\n\r\nMeanwhile `256 * 256 * 50000 * 3 / 1000000 = 9830 MB`. We are loading the non-cropped images and that is why we take so much RAM."
] | 2022-07-21T15:14:06Z | 2022-07-21T16:41:04Z | 2022-07-21T16:41:04Z | null | CONTRIBUTOR | [] | null | null | {
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} | ## Describe the bug
Loading into memory the validation split of imagenet-1k takes much more RAM than expected. Assuming ImageNet-1k is 150 GB, split is 50000 validation images and 1,281,167 train images, I would expect only about 6 GB loaded in RAM.
## Steps to reproduce the bug
```python
from datasets import... | {
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https://api.github.com/repos/huggingface/datasets/issues/5337 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5337/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5337/comments | https://api.github.com/repos/huggingface/datasets/issues/5337/events | https://github.com/huggingface/datasets/issues/5337 | 1,481,692,156 | I_kwDODunzps5YUNP8 | 5,337 | Support webdataset format | {
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"I like the idea of having `webdataset` as an optional dependency to ensure our loader generates web datasets the same way as the main project.",
"Webdataset is the one of the most popular dataset formats for large scale computer vision tasks. Upvote for this issue. ",
"Any updates on this?",
"We haven't had ... | 2022-12-07T11:32:25Z | 2024-03-06T14:39:29Z | 2024-03-06T14:39:28Z | {
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} | Webdataset is an efficient format for iterable datasets. It would be nice to support it in `datasets`, as discussed in https://github.com/rom1504/img2dataset/issues/234.
In particular it would be awesome to be able to load one using `load_dataset` in streaming mode (either from a local directory, or from a dataset o... | {
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https://api.github.com/repos/huggingface/datasets/issues/7111 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7111/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7111/comments | https://api.github.com/repos/huggingface/datasets/issues/7111/events | https://github.com/huggingface/datasets/issues/7111 | 2,474,915,845 | I_kwDODunzps6ThDgF | 7,111 | CI is broken for numpy-2: Failed to fetch wheel: llvmlite==0.34.0 | {
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"Note that the CI before was using:\r\n- llvmlite: 0.43.0\r\n- numba: 0.60.0\r\n\r\nNow it tries to use:\r\n- llvmlite: 0.34.0\r\n- numba: 0.51.2",
"The issue is because numba-0.60.0 pins numpy<2.1 and `uv` tries to install latest numpy-2.1.0 with an old numba-0.51.0 version (and llvmlite-0.34.0). See discussion ... | 2024-08-20T07:27:28Z | 2024-08-21T05:05:36Z | 2024-08-20T09:02:36Z | {
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```
Run uv pip install --system "datasets[tests_numpy2] @ ."
Resolved 150 packages in 4.42s
error: Failed to prepare distributions
Caused by: Failed to fetch wheel: ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5123 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5123/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5123/comments | https://api.github.com/repos/huggingface/datasets/issues/5123/events | https://github.com/huggingface/datasets/issues/5123 | 1,410,828,756 | I_kwDODunzps5UF4nU | 5,123 | datasets freezes with streaming mode in multiple-gpu | {
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"@lhoestq I tested the script without accelerator, and I confirm this is due to datasets part as this gets similar results without accelerator.",
"Hi ! You said it works on 1 GPU but doesn't wortk without accelerator - what's the difference between running on 1 GPU and running without accelerator in your case ?"... | 2022-10-17T03:28:16Z | 2025-12-15T18:48:31Z | null | null | NONE | [] | null | null | {
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} | ## Describe the bug
Hi. I am using this dataloader, which is for processing large datasets in streaming mode mentioned in one of examples of huggingface. I am using it to read c4: https://github.com/huggingface/transformers/blob/b48ac1a094e572d6076b46a9e4ed3e0ebe978afc/examples/research_projects/codeparrot/scripts/cod... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5926 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5926/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5926/comments | https://api.github.com/repos/huggingface/datasets/issues/5926/events | https://github.com/huggingface/datasets/issues/5926 | 1,743,922,028 | I_kwDODunzps5n8iNs | 5,926 | Uncaught exception when generating the splits from a dataset that miss data | {
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"Thanks for reporting, @severo.\r\n\r\nThis is a known issue with `fsspec`:\r\n- #5862\r\n- https://github.com/fsspec/filesystem_spec/issues/1265"
] | 2023-06-06T13:51:01Z | 2023-06-07T07:53:16Z | null | {
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} | ### Describe the bug
Dataset https://huggingface.co/datasets/blog_authorship_corpus has an issue with its hosting platform, since https://drive.google.com/u/0/uc?id=1cGy4RNDV87ZHEXbiozABr9gsSrZpPaPz&export=download returns 404 error.
But when trying to generate the split names, we get an exception which is now corr... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7968 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7968/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7968/comments | https://api.github.com/repos/huggingface/datasets/issues/7968/events | https://github.com/huggingface/datasets/issues/7968 | 3,864,988,355 | I_kwDODunzps7mXwrD | 7,968 | Potential conflicting type checks and dead code in `/src/datasets/table.py` | {
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"ConcatenationTable is a subclass of datasets.table.Table but not pa.Table, so it should be fine",
"Hi! Triaging stale issues — I don't think this one is actually dead code; the premise is off.\n\nThe claim is that `isinstance(table, ConcatenationTable)` at line 4 is unreachable because the line-2 `isinstance(tab... | 2026-01-28T11:34:53Z | 2026-05-11T11:04:04Z | 2026-05-11T11:04:04Z | null | NONE | [] | null | null | {
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} | When statically analyzing and manually reviewing the code, I noticed a potential logic conflicting in `/src/datasets/table.py` as follows:
```
def to_blocks(table: Union[pa.Table, Table]) -> list[list[TableBlock]]:
if isinstance(table, pa.Table):
return [[InMemoryTable(table)]]
elif isinstance(ta... | {
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https://api.github.com/repos/huggingface/datasets/issues/7693 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7693/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7693/comments | https://api.github.com/repos/huggingface/datasets/issues/7693/events | https://github.com/huggingface/datasets/issues/7693 | 3,246,369,678 | I_kwDODunzps7Bf6uO | 7,693 | Dataset scripts are no longer supported, but found superb.py | {
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"I got a pretty similar issue when I try to load bigbio/neurotrial_ner dataset. \n`Dataset scripts are no longer supported, but found neurotrial_ner.py`",
"Same here. I was running this tutorial and got a similar error: https://github.com/openai/whisper/discussions/654 (I'm a first-time transformers library user)... | 2025-07-20T13:48:06Z | 2026-04-14T14:09:54Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
Hello,
I'm trying to follow the [Hugging Face Pipelines tutorial](https://huggingface.co/docs/transformers/main_classes/pipelines) but the tutorial seems to work only on old datasets versions.
I then get the error :
```
--------------------------------------------------------------------------
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https://api.github.com/repos/huggingface/datasets/issues/3024 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3024/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3024/comments | https://api.github.com/repos/huggingface/datasets/issues/3024/events | https://github.com/huggingface/datasets/issues/3024 | 1,016,052,911 | I_kwDODunzps48j7yv | 3,024 | Windows test suite fails | {
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} | ## Describe the bug
There is an error during installation of tests dependencies for Windows: https://app.circleci.com/pipelines/github/huggingface/datasets/7981/workflows/9b6a0114-2b8e-4069-94e5-e844dbbdba4e/jobs/49206
```
ERROR: Cannot uninstall 'ruamel-yaml'. It is a distutils installed project and thus we can... | {
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https://api.github.com/repos/huggingface/datasets/issues/2649 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2649/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2649/comments | https://api.github.com/repos/huggingface/datasets/issues/2649/events | https://github.com/huggingface/datasets/issues/2649 | 944,651,229 | MDU6SXNzdWU5NDQ2NTEyMjk= | 2,649 | adding progress bar / ETA for `load_dataset` | {
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"Is this done now? I see progress bars when using `load_dataset`.",
"There are progress bars when downloading data and when preparing them as Arrow files.\r\n\r\nThe \"total silence\" part mentioned in OP refer to checksums verifications which have had some changes in the latest release 2.10:\r\n- they're disable... | 2021-07-14T17:34:39Z | 2023-03-27T10:32:49Z | null | null | CONTRIBUTOR | [] | null | null | {
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```
Downloading and preparing dataset oscar/unshuffled_deduplicated_en (download: 462.40 GiB, generated: 1.18 TiB, post-processed: Unknown size, total: 1.63 TiB) to cache/oscar/unshuffled_deduplicated_en/1.0.0/84838bd49d2295f62008383b05620571535451d84545037bb94d6f3501651df2...
HF google storage unre... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5970 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5970/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5970/comments | https://api.github.com/repos/huggingface/datasets/issues/5970/events | https://github.com/huggingface/datasets/issues/5970 | 1,766,010,356 | I_kwDODunzps5pQy30 | 5,970 | description disappearing from Info when Uploading a Dataset Created with `from_dict` | {
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"Here's a minimal way to reproduce the bug, for the sake of convenience.\r\n````\r\nfrom datasets import Dataset, DatasetInfo, load_dataset\r\n\r\n\r\nepisodes_dict = {\"test\":[1,2,3],\"test2\": [1,2,4]}\r\n\r\nhugging_face_dataset = Dataset.from_dict(\r\n episodes_dict, info=DatasetInfo(description=\"test_str\... | 2023-06-20T19:18:26Z | 2023-06-22T14:23:56Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
When uploading a dataset created locally using `from_dict` with a specified `description` field. It appears before upload, but is missing after upload and re-download.
### Steps to reproduce the bug
I think the most relevant pattern in the code might be the following lines:
```
descr... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/1877 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1877/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1877/comments | https://api.github.com/repos/huggingface/datasets/issues/1877/events | https://github.com/huggingface/datasets/issues/1877 | 808,462,272 | MDU6SXNzdWU4MDg0NjIyNzI= | 1,877 | Allow concatenation of both in-memory and on-disk datasets | {
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"I started working on this. My idea is to first add the pyarrow Table wrappers InMemoryTable and MemoryMappedTable that both implement what's necessary regarding copy/pickle. Then have another wrapper that takes the concatenation of InMemoryTable/MemoryMappedTable objects.\r\n\r\nWhat's important here is that conca... | 2021-02-15T11:39:46Z | 2021-03-26T16:51:58Z | 2021-03-26T16:51:58Z | {
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} | This is a prerequisite for the addition of the `add_item` feature (see #1870).
Currently there is one assumption that we would need to change: a dataset is either fully in memory (dataset._data_files is empty), or the dataset can be reloaded from disk (using the dataset._data_files).
This assumption is used for pickl... | {
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https://api.github.com/repos/huggingface/datasets/issues/168 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/168/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/168/comments | https://api.github.com/repos/huggingface/datasets/issues/168/events | https://github.com/huggingface/datasets/issues/168 | 620,959,819 | MDU6SXNzdWU2MjA5NTk4MTk= | 168 | Loading 'wikitext' dataset fails | {
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"Hi, make sure you have a recent version of pyarrow.\r\n\r\nAre you using it in Google Colab? In this case, this error is probably the same as #128",
"Thanks!\r\n\r\nYes I'm using Google Colab, it seems like a duplicate then.",
"Closing as it is a duplicate",
"Hi,\r\nThe squad bug seems to be fixed, but the l... | 2020-05-19T13:04:29Z | 2020-05-26T21:46:52Z | 2020-05-26T21:46:52Z | null | NONE | [] | null | null | {
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} | Loading the 'wikitext' dataset fails with Attribute error:
Code to reproduce (From example notebook):
import nlp
wikitext_dataset = nlp.load_dataset('wikitext')
Error:
---------------------------------------------------------------------------
AttributeError Traceback (most rece... | {
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https://api.github.com/repos/huggingface/datasets/issues/6948 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6948/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6948/comments | https://api.github.com/repos/huggingface/datasets/issues/6948/events | https://github.com/huggingface/datasets/issues/6948 | 2,331,758,300 | I_kwDODunzps6K-87c | 6,948 | to_tf_dataset: Visible devices cannot be modified after being initialized | {
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} | ### Describe the bug
When trying to use to_tf_dataset with a custom data_loader collate_fn when I use parallelism I am met with the following error as many times as number of workers there were in ``num_workers``.
File "/opt/miniconda/envs/env/lib/python3.11/site-packages/multiprocess/process.py", line 314, in _b... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5715 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5715/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5715/comments | https://api.github.com/repos/huggingface/datasets/issues/5715/events | https://github.com/huggingface/datasets/issues/5715 | 1,657,479,788 | I_kwDODunzps5iyyJs | 5,715 | Return Numpy Array (fixed length) Mode, in __get_item__, Instead of List | {
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"Hi! \r\n\r\nYou can use [`.set_format(\"np\")`](https://huggingface.co/docs/datasets/process#format) to get NumPy arrays (or Pytorch tensors with `.set_format(\"torch\")`) in `__getitem__`.\r\n\r\nAlso, have you been able to reproduce the linked PyTorch issue with a HF dataset?\r\n "
] | 2023-04-06T13:57:48Z | 2023-04-20T17:16:26Z | 2023-04-20T17:16:26Z | null | NONE | [] | null | null | {
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} | ### Feature request
There are old known issues, but they can be easily forgettable problems in multiprocessing with pytorch-dataloader:
Too high usage of RAM or shared-memory in pytorch when we set num workers > 1 and returning type of dataset or dataloader is "List" or "Dict".
https://github.com/pytorch/pytorch... | {
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https://api.github.com/repos/huggingface/datasets/issues/4099 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4099/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4099/comments | https://api.github.com/repos/huggingface/datasets/issues/4099/events | https://github.com/huggingface/datasets/issues/4099 | 1,193,253,768 | I_kwDODunzps5HH5uI | 4,099 | UnicodeDecodeError: 'ascii' codec can't decode byte 0xe5 in position 213: ordinal not in range(128) | {
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"Hi @andreybond, thanks for reporting.\r\n\r\nUnfortunately, I'm not able to able to reproduce your issue:\r\n```python\r\nIn [4]: from datasets import load_dataset\r\n ...: datasets = load_dataset(\"nielsr/XFUN\", \"xfun.ja\")\r\n\r\nIn [5]: datasets\r\nOut[5]: \r\nDatasetDict({\r\n train: Dataset({\r\n ... | 2022-04-05T14:42:38Z | 2022-04-06T06:37:44Z | 2022-04-06T06:35:54Z | {
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} | ## Describe the bug
Error "UnicodeDecodeError: 'ascii' codec can't decode byte 0xe5 in position 213: ordinal not in range(128)" is thrown when downloading dataset.
## Steps to reproduce the bug
```python
from datasets import load_dataset
datasets = load_dataset("nielsr/XFUN", "xfun.ja")
```
## Expected resu... | {
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https://api.github.com/repos/huggingface/datasets/issues/5765 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5765/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5765/comments | https://api.github.com/repos/huggingface/datasets/issues/5765/events | https://github.com/huggingface/datasets/issues/5765 | 1,671,388,824 | I_kwDODunzps5jn16Y | 5,765 | ValueError: You should supply an encoding or a list of encodings to this method that includes input_ids, but you provided ['text'] | {
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"You need to remove the `text` and `text_en` columns before passing the dataset to the `DataLoader` to avoid this error:\r\n```python\r\ntokenized_datasets = tokenized_datasets.remove_columns([\"text\", \"text_en\"])\r\n```\r\n",
"Thanks @mariosasko. Now I am getting this error:\r\n\r\n```\r\nTraceback (most rece... | 2023-04-17T15:00:50Z | 2023-04-25T13:50:45Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
Following is my code that I am trying to run, but facing an error (have attached the whole error below):
My code:
```
from collections import OrderedDict
import warnings
import flwr as fl
import torch
import numpy as np
import random
from torch.utils.data import DataLoader
from... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2532 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2532/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2532/comments | https://api.github.com/repos/huggingface/datasets/issues/2532/events | https://github.com/huggingface/datasets/issues/2532 | 927,063,196 | MDU6SXNzdWU5MjcwNjMxOTY= | 2,532 | Tokenizer's normalization preprocessor cause misalignment in return_offsets_mapping for tokenizer classification task | {
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"Hi @jerryIsHere, thanks for reporting the issue. But are you sure this is a bug in HuggingFace **Datasets**?",
"> Hi @jerryIsHere, thanks for reporting the issue. But are you sure this is a bug in HuggingFace **Datasets**?\r\n\r\nOh, I am sorry\r\nI would reopen the post on huggingface/transformers"
] | 2021-06-22T10:08:18Z | 2021-06-23T05:17:25Z | 2021-06-23T05:17:25Z | null | CONTRIBUTOR | [] | null | null | {
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} | [This colab notebook](https://colab.research.google.com/drive/151gKyo0YIwnlznrOHst23oYH_a3mAe3Z?usp=sharing) implements a token classification input pipeline extending the logic from [this hugging example](https://huggingface.co/transformers/custom_datasets.html#tok-ner).
The pipeline works fine with most instance i... | {
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https://api.github.com/repos/huggingface/datasets/issues/2076 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2076/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2076/comments | https://api.github.com/repos/huggingface/datasets/issues/2076/events | https://github.com/huggingface/datasets/issues/2076 | 834,445,296 | MDU6SXNzdWU4MzQ0NDUyOTY= | 2,076 | Issue: Dataset download error | {
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"Hi @XuhuiZhou, thanks for reporting this issue. \r\n\r\nIndeed, the old links are no longer valid (404 Not Found error), and the script must be updated with the new links to Google Drive.",
"It would be nice to update the urls indeed !\r\n\r\nTo do this, you just need to replace the urls in `iwslt2017.py` and th... | 2021-03-18T06:36:06Z | 2021-03-22T11:52:31Z | null | null | NONE | [] | null | null | {
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} | The download link in `iwslt2017.py` file does not seem to work anymore.
For example, `FileNotFoundError: Couldn't find file at https://wit3.fbk.eu/archive/2017-01-trnted/texts/zh/en/zh-en.tgz`
Would be nice if we could modify it script and use the new downloadable link? | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6982 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6982/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6982/comments | https://api.github.com/repos/huggingface/datasets/issues/6982/events | https://github.com/huggingface/datasets/issues/6982 | 2,361,661,469 | I_kwDODunzps6MxBgd | 6,982 | cannot split dataset when using load_dataset | {
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"it seems the bug will happened in all windows system, I tried it in windows8.1, 10, 11 and all of them failed. But it won't happened in the Linux(Ubuntu and Centos7) and Mac (both my virtual and physical machine). I still don't know what the problem is. May be related to the path? I cannot run the split file in m... | 2024-06-19T08:07:16Z | 2024-07-08T06:20:16Z | 2024-07-08T06:20:16Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
when I use load_dataset methods to load mozilla-foundation/common_voice_7_0, it can successfully download and extracted the dataset but It cannot generating the arrow document,
This bug happened in my server, my laptop, so as #6906 , but it won't happen in the google colab. I work for it for da... | {
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https://api.github.com/repos/huggingface/datasets/issues/7365 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7365/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7365/comments | https://api.github.com/repos/huggingface/datasets/issues/7365/events | https://github.com/huggingface/datasets/issues/7365 | 2,780,216,199 | I_kwDODunzps6ltruH | 7,365 | A parameter is specified but not used in datasets.arrow_dataset.Dataset.from_pandas() | {
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I am interested in creating train, test and eval splits from a pandas Dataframe, therefore I was looking at the possibilities I can follow. I noticed the split parameter and was hopeful to use it in order to generate the 3 at once, however, while trying to understand the code, i noticed that it ha... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6558 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6558/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6558/comments | https://api.github.com/repos/huggingface/datasets/issues/6558/events | https://github.com/huggingface/datasets/issues/6558 | 2,064,885,984 | I_kwDODunzps57E6jg | 6,558 | OSError: image file is truncated (1 bytes not processed) #28323 | {
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"You can add \r\n\r\n```python\r\nfrom PIL import ImageFile\r\nImageFile.LOAD_TRUNCATED_IMAGES = True\r\n```\r\n\r\nafter the imports to be able to read truncated images."
] | 2024-01-04T02:15:13Z | 2024-02-21T00:38:12Z | 2024-02-21T00:38:12Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
```
---------------------------------------------------------------------------
OSError Traceback (most recent call last)
Cell In[24], line 28
23 return example
25 # Filter the dataset
26 # filtered_dataset = dataset.filter(contains_number... | {
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https://api.github.com/repos/huggingface/datasets/issues/6257 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6257/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6257/comments | https://api.github.com/repos/huggingface/datasets/issues/6257/events | https://github.com/huggingface/datasets/issues/6257 | 1,910,741,044 | I_kwDODunzps5x45g0 | 6,257 | HfHubHTTPError - exceeded our hourly quotas for action: commit | {
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"how is your dataset structured? (file types, how many commits and files are you trying to push, etc)",
"I succeeded in uploading it after several attempts with an hour gap between each attempt (inconvenient but worked). The final dataset is [here](https://huggingface.co/datasets/yuvalkirstain/pickapic_v2), code ... | 2023-09-25T06:11:43Z | 2023-10-16T13:30:49Z | 2023-10-16T13:30:48Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
I try to upload a very large dataset of images, and get the following error:
```
File /fsx-multigen/yuvalkirstain/miniconda/envs/pickapic/lib/python3.10/site-packages/huggingface_hub/hf_api.py:2712, in HfApi.create_commit(self, repo_id, operations, commit_message, commit_description, token, repo... | {
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https://api.github.com/repos/huggingface/datasets/issues/6146 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6146/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6146/comments | https://api.github.com/repos/huggingface/datasets/issues/6146/events | https://github.com/huggingface/datasets/issues/6146 | 1,848,417,366 | I_kwDODunzps5uLJxW | 6,146 | DatasetGenerationError when load glue benchmark datasets from `load_dataset` | {
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"I've tried clear the .cache file, doesn't work.",
"This issue happens on AWS sagemaker",
"This issue can happen if there is a directory named \"glue\" relative to the Python script with the `load_dataset` call (similar issue to this one: https://github.com/huggingface/datasets/issues/5228). Is this the case?",... | 2023-08-13T05:17:56Z | 2023-08-26T22:09:09Z | 2023-08-26T22:09:09Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
Package version: datasets-2.14.4
When I run the codes:
```
from datasets import load_dataset
dataset = load_dataset("glue", "ax")
```
I got the following errors:
---------------------------------------------------------------------------
SchemaInferenceError ... | {
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https://api.github.com/repos/huggingface/datasets/issues/771 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/771/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/771/comments | https://api.github.com/repos/huggingface/datasets/issues/771/events | https://github.com/huggingface/datasets/issues/771 | 731,482,213 | MDU6SXNzdWU3MzE0ODIyMTM= | 771 | Using `Dataset.map` with `n_proc>1` print multiple progress bars | {
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"Yes it allows to monitor the speed of each process. Currently each process takes care of one shard of the dataset.\r\n\r\nAt one point we can consider using streaming batches to a pool of processes instead of sharding the dataset in `num_proc` parts. At that point it will be easy to use only one progress bar",
"... | 2020-10-28T14:13:27Z | 2023-02-13T20:16:39Z | 2023-02-13T20:16:39Z | null | CONTRIBUTOR | [] | null | null | {
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"Yes, this dataset is \"gated\": you first have to go to https://huggingface.co/datasets/boris/gis_filtered and click \"Access repository\" (if you accept to share your contact information with the repository authors).",
"I already did that, it returns error when using streaming",
"Oh, sorry, I misread. Looking... | 2022-06-30T12:23:34Z | 2022-07-06T12:34:19Z | 2022-07-06T12:34:19Z | {
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https://huggingface.co/datasets/boris/gis_filtered/viewer/boris--gis_filtered/train
### Description
When I try to access this from the website I get this error:
Status code: 400
Exception: ClientResponseError
Message: 401, message='Unauthorized', url=URL('https://huggingface.co/datase... | {
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https://api.github.com/repos/huggingface/datasets/issues/1673 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1673/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1673/comments | https://api.github.com/repos/huggingface/datasets/issues/1673/events | https://github.com/huggingface/datasets/issues/1673 | 777,263,651 | MDU6SXNzdWU3NzcyNjM2NTE= | 1,673 | Unable to Download Hindi Wikipedia Dataset | {
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"Currently this dataset is only available when the library is installed from source since it was added after the last release.\r\n\r\nWe pin the dataset version with the library version so that people can have a reproducible dataset and processing when pinning the library.\r\n\r\nWe'll see if we can provide access ... | 2021-01-01T10:52:53Z | 2021-01-05T10:22:12Z | 2021-01-05T10:22:12Z | null | NONE | [] | null | null | {
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} | I used the Dataset Library in Python to load the wikipedia dataset with the Hindi Config 20200501.hi along with something called beam_runner='DirectRunner' and it keeps giving me the error that the file is not found. I have attached the screenshot of the error and the code both. Please help me to understand how to reso... | {
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https://api.github.com/repos/huggingface/datasets/issues/2902 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2902/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2902/comments | https://api.github.com/repos/huggingface/datasets/issues/2902/events | https://github.com/huggingface/datasets/issues/2902 | 995,254,216 | MDU6SXNzdWU5OTUyNTQyMTY= | 2,902 | Add WIT Dataset | {
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"@hassiahk is working on it #2810 ",
"WikiMedia is now hosting the pixel values directly which should make it a lot easier!\r\nThe files can be found here:\r\nhttps://techblog.wikimedia.org/2021/09/09/the-wikipedia-image-caption-matching-challenge-and-a-huge-release-of-image-data-for-research/\r\nhttps://analyti... | 2021-09-13T19:38:49Z | 2024-10-02T15:37:48Z | 2022-06-01T17:28:40Z | null | CONTRIBUTOR | [] | null | null | {
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} | ## Adding a Dataset
- **Name:** *WIT*
- **Description:** *Wikipedia-based Image Text Dataset*
- **Paper:** *[WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning
](https://arxiv.org/abs/2103.01913)*
- **Data:** *https://github.com/google-research-datasets/wit*
- **Motivation:** (e... | {
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https://api.github.com/repos/huggingface/datasets/issues/4057 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4057/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4057/comments | https://api.github.com/repos/huggingface/datasets/issues/4057/events | https://github.com/huggingface/datasets/issues/4057 | 1,185,442,001 | I_kwDODunzps5GqGjR | 4,057 | `load_dataset` consumes too much memory for audio + tar archives | {
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"Hi ! Could it be because you need to free the memory used by `tarfile` by emptying the tar `members` by any chance ?\r\n```python\r\n yield key, {\"audio\": {\"path\": audio_name, \"bytes\": audio_file_obj.read()}}\r\n audio_tarfile.members = [] # free memory\r\n key += 1\r\n```\r\n\r\nand th... | 2022-03-29T21:38:55Z | 2022-08-16T10:22:55Z | 2022-08-16T10:22:55Z | null | NONE | [] | null | null | {
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## Description
`load_dataset` consumes more and more memory until it's killed, even though it's made with a generator. I'm adding a loading script for a new dataset, made up of ~15s audio coming from a tar file. Tried setting `DEFAULT_WRITER_BATCH_SIZE = 1` as per the discussion in #741 but the problem persists.
... | {
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https://api.github.com/repos/huggingface/datasets/issues/1731 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1731/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1731/comments | https://api.github.com/repos/huggingface/datasets/issues/1731/events | https://github.com/huggingface/datasets/issues/1731 | 784,744,674 | MDU6SXNzdWU3ODQ3NDQ2NzQ= | 1,731 | Couldn't reach swda.py | {
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"Hi @yangp725,\r\nThe SWDA has been added very recently and has not been released yet, thus it is not available in the `1.2.0` version of 🤗`datasets`.\r\nYou can still access it by installing the latest version of the library (master branch), by following instructions in [this issue](https://github.com/huggingface... | 2021-01-13T02:57:40Z | 2021-01-13T11:17:40Z | 2021-01-13T11:17:40Z | null | NONE | [] | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2350 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2350/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2350/comments | https://api.github.com/repos/huggingface/datasets/issues/2350/events | https://github.com/huggingface/datasets/issues/2350 | 889,580,247 | MDU6SXNzdWU4ODk1ODAyNDc= | 2,350 | `FaissIndex.save` throws error on GPU | {
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"Just in case, this is a workaround that I use in my code and it seems to do the job.\r\n\r\n```python\r\nif use_gpu_index:\r\n data[\"train\"]._indexes[\"text_emb\"].faiss_index = faiss.index_gpu_to_cpu(data[\"train\"]._indexes[\"text_emb\"].faiss_index)\r\n```"
] | 2021-05-12T03:41:56Z | 2021-05-17T13:41:41Z | 2021-05-17T13:41:41Z | null | CONTRIBUTOR | [] | null | null | {
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} | ## Describe the bug
After training an index with a factory string `OPQ16_128,IVF512,PQ32` on GPU, `.save_faiss_index` throws this error.
```
File "index_wikipedia.py", line 119, in <module>
data["train"].save_faiss_index("text_emb", index_save_path)
File "/home/vlialin/miniconda3/envs/cat/lib/python3.8... | {
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https://api.github.com/repos/huggingface/datasets/issues/5653 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5653/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5653/comments | https://api.github.com/repos/huggingface/datasets/issues/5653/events | https://github.com/huggingface/datasets/issues/5653 | 1,633,254,159 | I_kwDODunzps5hWXsP | 5,653 | Doc: save_to_disk, `num_proc` will affect `num_shards`, but it's not documented | {
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"I agree this should be documented"
] | 2023-03-21T05:25:35Z | 2023-03-24T16:36:23Z | 2023-03-24T16:36:23Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
[`num_proc`](https://huggingface.co/docs/datasets/main/en/package_reference/main_classes#datasets.DatasetDict.save_to_disk.num_proc) will affect `num_shards`, but it's not documented
### Steps to reproduce the bug
Nothing to reproduce
### Expected behavior
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https://api.github.com/repos/huggingface/datasets/issues/7520 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7520/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7520/comments | https://api.github.com/repos/huggingface/datasets/issues/7520/events | https://github.com/huggingface/datasets/issues/7520 | 2,997,422,044 | I_kwDODunzps6yqQfc | 7,520 | Update items in the dataset without `map` | {
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"Hello!\n\nHave you looked at `Dataset.shard`? [Docs](https://huggingface.co/docs/datasets/en/process#shard)\n\nUsing this method you could break your dataset in N shards. Apply `map` on each shard and concatenate them back."
] | 2025-04-15T19:39:01Z | 2025-04-19T18:47:46Z | null | null | NONE | [] | null | null | {
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} | ### Feature request
I would like to be able to update items in my dataset without affecting all rows. At least if there was a range option, I would be able to process those items, save the dataset, and then continue.
If I am supposed to split the dataset first, that is not clear, since the docs suggest that any of th... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/3191 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3191/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3191/comments | https://api.github.com/repos/huggingface/datasets/issues/3191/events | https://github.com/huggingface/datasets/issues/3191 | 1,041,225,111 | I_kwDODunzps4-D9WX | 3,191 | Dataset viewer issue for '*compguesswhat*' | {
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"```python\r\n>>> import datasets\r\n>>> dataset = datasets.load_dataset('compguesswhat', name='compguesswhat-original',split='train', streaming=True)\r\n>>> next(iter(dataset))\r\nTraceback (most recent call last):\r\n File \"<stdin>\", line 1, in <module>\r\n File \"/home/slesage/hf/datasets-preview-backend/.ve... | 2021-11-01T14:16:49Z | 2022-09-12T08:02:29Z | 2022-09-12T08:02:29Z | {
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} | ## Dataset viewer issue for '*compguesswhat*'
**Link:** https://huggingface.co/datasets/compguesswhat
File not found
Am I the one who added this dataset ? No
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https://api.github.com/repos/huggingface/datasets/issues/7448 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7448/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7448/comments | https://api.github.com/repos/huggingface/datasets/issues/7448/events | https://github.com/huggingface/datasets/issues/7448 | 2,916,025,762 | I_kwDODunzps6tzwWi | 7,448 | `datasets.disable_caching` doesn't work | {
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"cc",
"Yes I have the same issue. It's a confusingly named function. See [here](https://github.com/huggingface/datasets/blob/main/src/datasets/fingerprint.py#L115-L130)\n\n```\n...\nIf disabled, the library will no longer reload cached datasets files when applying transforms to the datasets.\n More precisely... | 2025-03-13T06:40:12Z | 2026-05-10T12:02:44Z | null | null | NONE | [] | null | null | {
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I tried `datasets.disable_caching`, but it doesn't work! | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6924 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6924/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6924/comments | https://api.github.com/repos/huggingface/datasets/issues/6924/events | https://github.com/huggingface/datasets/issues/6924 | 2,320,531,015 | I_kwDODunzps6KUH5H | 6,924 | Caching map result of DatasetDict. | {
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"Has to do with sharding as far as I am aware, num_proc splits the dataset in shards and each process picks up a shard.",
"@dimidagd why wouldn't you redistribute the processes (e.g. param_num_process to sequentially fill fingerprint_num_process) to make things work out? \n\nPerhaps I'm missing something importan... | 2024-05-28T09:07:41Z | 2025-07-28T12:57:34Z | null | null | NONE | [] | null | null | {
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I'm currenty using the map function to tokenize a somewhat large dataset, so I need to use the cache to save ~25 mins.
Changing num_proc incduces the recomputation of the map, I'm not sure why and if this is excepted behavior?
here it says, that cached files are loaded sequentially:
https://github.com/... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/888 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/888/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/888/comments | https://api.github.com/repos/huggingface/datasets/issues/888/events | https://github.com/huggingface/datasets/issues/888 | 750,944,422 | MDU6SXNzdWU3NTA5NDQ0MjI= | 888 | Nested lists are zipped unexpectedly | {
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"Yes following the Tensorflow Datasets convention, objects with type `Sequence of a Dict` are actually stored as a `dictionary of lists`.\r\nSee the [documentation](https://huggingface.co/docs/datasets/features.html?highlight=features) for more details",
"Thanks.\r\nThis is a bit (very) confusing, but I guess if ... | 2020-11-25T16:07:46Z | 2020-11-25T17:30:39Z | 2020-11-25T17:30:39Z | null | CONTRIBUTOR | [] | null | null | {
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} | I might misunderstand something, but I expect that if I define:
```python
"top": datasets.features.Sequence({
"middle": datasets.features.Sequence({
"bottom": datasets.Value("int32")
})
})
```
And I then create an example:
```python
yield 1, {
"top": [{
"middle": [
{"bottom": 1},
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https://api.github.com/repos/huggingface/datasets/issues/6645 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6645/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6645/comments | https://api.github.com/repos/huggingface/datasets/issues/6645/events | https://github.com/huggingface/datasets/issues/6645 | 2,122,956,818 | I_kwDODunzps5-icAS | 6,645 | Support fsspec 2024.2 | {
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"I'd be very grateful. This upper bound banished me straight into dependency hell today. :("
] | 2024-02-07T12:45:29Z | 2024-02-29T15:12:19Z | 2024-02-29T15:12:19Z | null | MEMBER | [] | null | null | {
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First, we should address:
- #6644 | {
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https://api.github.com/repos/huggingface/datasets/issues/7343 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7343/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7343/comments | https://api.github.com/repos/huggingface/datasets/issues/7343/events | https://github.com/huggingface/datasets/issues/7343 | 2,750,525,823 | I_kwDODunzps6j8bF_ | 7,343 | [Bug] Inconsistent behavior of data_files and data_dir in load_dataset method. | {
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"Hi ! `data_files` with a list is equivalent to `data_files={\"train\": data_files}` with a train test only.\r\n\r\nWhen no split are specified, they are inferred based on file names, and files with no apparent split are ignored",
"Thanks for your reply!\r\n`files with no apparent split are ignored`. Is there a o... | 2024-12-19T14:31:27Z | 2025-01-03T15:54:09Z | 2025-01-03T15:54:09Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
Inconsistent operation of data_files and data_dir in load_dataset method.
### Steps to reproduce the bug
# First
I have three files, named 'train.json', 'val.json', 'test.json'.
Each one has a simple dict `{text:'aaa'}`.
Their path are `/data/train.json`, `/data/val.json`, `/data/test.jso... | {
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https://api.github.com/repos/huggingface/datasets/issues/5705 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5705/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5705/comments | https://api.github.com/repos/huggingface/datasets/issues/5705/events | https://github.com/huggingface/datasets/issues/5705 | 1,653,500,383 | I_kwDODunzps5ijmnf | 5,705 | Getting next item from IterableDataset took forever. | {
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"Hi! It can take some time to iterate over Parquet files as big as yours, convert the samples to Python, and find the first one that matches a filter predicate before yielding it...",
"Thanks @mariosasko, I figured it was the filter operation. I'm closing this issue because it is not a bug, it is the expected beh... | 2023-04-04T09:16:17Z | 2023-04-05T23:35:41Z | 2023-04-05T23:35:41Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
I have a large dataset, about 500GB. The format of the dataset is parquet.
I then load the dataset and try to get the first item
```python
def get_one_item():
dataset = load_dataset("path/to/datafiles", split="train", cache_dir=".", streaming=True)
dataset = dataset.filter(lambda... | {
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https://api.github.com/repos/huggingface/datasets/issues/6109 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6109/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6109/comments | https://api.github.com/repos/huggingface/datasets/issues/6109/events | https://github.com/huggingface/datasets/issues/6109 | 1,830,753,793 | I_kwDODunzps5tHxYB | 6,109 | Problems in downloading Amazon reviews from HF | {
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"Thanks for reporting, @610v4nn1.\r\n\r\nIndeed, the source data files are no longer available. We have contacted the authors of the dataset and they report that Amazon has decided to stop distributing the multilingual reviews dataset.\r\n\r\nWe are adding a notification about this issue to the dataset card.\r\n\r\... | 2023-08-01T08:38:29Z | 2025-07-18T17:47:30Z | 2023-08-02T07:12:07Z | {
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} | ### Describe the bug
I have a script downloading `amazon_reviews_multi`.
When the download starts, I get
```
Downloading data files: 0%| | 0/1 [00:00<?, ?it/s]
Downloading data: 243B [00:00, 1.43MB/s]
Downloading data files: 100%|██████████| 1/1 [00:01<00:00, 1.54s/it]
Extracting data files: 100%... | {
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https://api.github.com/repos/huggingface/datasets/issues/4104 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4104/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4104/comments | https://api.github.com/repos/huggingface/datasets/issues/4104/events | https://github.com/huggingface/datasets/issues/4104 | 1,194,072,966 | I_kwDODunzps5HLBuG | 4,104 | Add time series data - stock market | {
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"Can I use instructions present in below link for time series dataset as well? \r\nhttps://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md ",
"cc'ing @kashif and @NielsRogge for visibility!",
"@INF800 happy to add this dataset! I will try to set a PR by the end of the day... if you can kindly poi... | 2022-04-06T05:46:58Z | 2024-07-21T16:54:30Z | null | null | NONE | [] | null | null | {
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} | ## Adding a Time Series Dataset
- **Name:** 2min ticker data for stock market
- **Description:** 8 stocks' data collected for 1month post ukraine-russia war. 4 NSE stocks and 4 NASDAQ stocks. Along with technical indicators (additional features) as shown in below image
- **Data:** Collected by myself from investing... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/1285 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1285/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1285/comments | https://api.github.com/repos/huggingface/datasets/issues/1285/events | https://github.com/huggingface/datasets/issues/1285 | 759,278,758 | MDU6SXNzdWU3NTkyNzg3NTg= | 1,285 | boolq does not work | {
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"here is the minimal code to reproduce\r\n\r\n`datasets>>> datasets.load_dataset(\"boolq\", \"train\")\r\n\r\nthe errors\r\n\r\n```\r\n`cahce dir /idiap/temp/rkarimi/cache_home_1/datasets\r\ncahce dir /idiap/temp/rkarimi/cache_home_1/datasets\r\nUsing custom data configuration train\r\nDownloading and preparing d... | 2020-12-08T09:28:47Z | 2020-12-08T09:47:10Z | 2020-12-08T09:47:10Z | null | CONTRIBUTOR | [] | null | null | {
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I am getting this error when trying to load boolq, thanks for your help
ts_boolq_default_0.1.0_2987db1f15deaa19500ae24de560eabeaf1f8ef51df88c0470beeec72943bf11.lock
Traceback (most recent call last):
File "finetune_t5_trainer.py", line 274, in <module>
main()
File "finetune_t5_trainer.py", line 147, ... | {
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https://api.github.com/repos/huggingface/datasets/issues/3776 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3776/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3776/comments | https://api.github.com/repos/huggingface/datasets/issues/3776/events | https://github.com/huggingface/datasets/issues/3776 | 1,146,932,871 | I_kwDODunzps5EXM6H | 3,776 | Allow download only some files from the Wikipedia dataset | {
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"Hi @jvanz, thank you for your proposal.\r\n\r\nIn fact, we are aware that it is very common the problem you mention. Because of that, we are currently working in implementing a new version of wikipedia on the Hub, with all data preprocessed (no need to use Apache Beam), from where you will be able to use `data_fil... | 2022-02-22T13:46:41Z | 2022-02-22T14:50:02Z | null | null | NONE | [] | null | null | {
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} | **Is your feature request related to a problem? Please describe.**
The Wikipedia dataset can be really big. This is a problem if you want to use it locally in a laptop with the Apache Beam `DirectRunner`. Even if your laptop have a considerable amount of memory (e.g. 32gb).
**Describe the solution you'd like**
I... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/3373 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3373/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3373/comments | https://api.github.com/repos/huggingface/datasets/issues/3373/events | https://github.com/huggingface/datasets/issues/3373 | 1,070,406,391 | I_kwDODunzps4_zRr3 | 3,373 | Support streaming zipped CSV dataset repo by passing only repo name | {
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} | Given a community 🤗 dataset repository containing only a zipped CSV file (only raw data, no loading script), I would like to load it in streaming mode without passing `data_files`:
```
ds_name = "bigscience-catalogue-data/vietnamese_poetry_from_fsoft_ai_lab"
ds = load_dataset(ds_name, split="train", streaming=True,... | {
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https://api.github.com/repos/huggingface/datasets/issues/7518 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7518/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7518/comments | https://api.github.com/repos/huggingface/datasets/issues/7518/events | https://github.com/huggingface/datasets/issues/7518 | 2,996,141,825 | I_kwDODunzps6ylX8B | 7,518 | num_proc parallelization works only for first ~10s. | {
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"Hi, can you check if the processes are still alive ? It's a bit weird because `datasets` does check if processes crash and return an error in that case",
"Thank you for reverting quickly. I digged a bit, and realized my disk's IOPS is also limited - which is causing this. will check further and report if it's an... | 2025-04-15T11:44:03Z | 2025-04-15T13:12:13Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
When I try to load an already downloaded dataset with num_proc=64, the speed is very high for the first 10-20 seconds acheiving 30-40K samples / s, and 100% utilization for all cores but it soon drops to <= 1000 with almost 0% utilization for most cores.
### Steps to reproduce the bug
```
// do... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5304 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5304/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5304/comments | https://api.github.com/repos/huggingface/datasets/issues/5304/events | https://github.com/huggingface/datasets/issues/5304 | 1,465,110,367 | I_kwDODunzps5XU89f | 5,304 | timit_asr doesn't load the test split. | {
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"The [timit_asr.py](https://huggingface.co/datasets/timit_asr/blob/main/timit_asr.py) script iterates over the WAV files per split directory using this:\r\n```python\r\nwav_paths = sorted(Path(data_dir).glob(f\"**/{split}/**/*.wav\"))\r\nwav_paths = wav_paths if wav_paths else sorted(Path(data_dir).glob(f\"**/{spli... | 2022-11-26T10:18:22Z | 2023-02-10T16:33:21Z | 2023-02-10T16:33:21Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
When I use the function ```timit = load_dataset('timit_asr', data_dir=data_dir)```, it only loads train split, not test split.
I tried to change the directory and filename to lower case to upper case for the test split, but it does not work at all.
```python
DatasetDict({
train: Datase... | {
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https://api.github.com/repos/huggingface/datasets/issues/7167 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7167/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7167/comments | https://api.github.com/repos/huggingface/datasets/issues/7167/events | https://github.com/huggingface/datasets/issues/7167 | 2,546,708,014 | I_kwDODunzps6Xy64u | 7,167 | Error Mapping on sd3, sdxl and upcoming flux controlnet training scripts in diffusers | {
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"this is happening on large datasets, if anyone happens upon this i was able to fix by changing\r\n\r\n```\r\ntrain_dataset = train_dataset.map(compute_embeddings_fn, batched=True, new_fingerprint=new_fingerprint)\r\n```\r\n\r\nto\r\n\r\n```\r\ntrain_dataset = train_dataset.map(compute_embeddings_fn, batched=True, ... | 2024-09-25T01:39:51Z | 2024-09-30T05:28:15Z | 2024-09-30T05:28:04Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
```
Map: 6%|██████ | 8000/138120 [19:27<5:16:36, 6.85 examples/s]
Traceback (most recent call last):
File "/workspace/diffusers/examples/controlnet/train_controlnet_sd3.py", line 1416, in <mod... | {
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https://api.github.com/repos/huggingface/datasets/issues/5158 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5158/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5158/comments | https://api.github.com/repos/huggingface/datasets/issues/5158/events | https://github.com/huggingface/datasets/issues/5158 | 1,422,059,287 | I_kwDODunzps5UwucX | 5,158 | Fix language and license tag names in all Hub datasets | {
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"There are currently 402 datasets with deprecated \"languages\" or \"licenses\".",
"hey @albertvillanova ,i would love to work on this issue if you like.",
"Hi @ayushthe1, thanks for your offer.\r\n\r\nBut as you can see, I self-assigned this issue.\r\n\r\nI have already fixed 200 out of the 402 datasets. My sc... | 2022-10-25T08:19:29Z | 2022-10-25T11:27:26Z | 2022-10-25T10:42:19Z | {
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} | While working on this:
- #5137
we realized there are still many datasets with deprecated "languages" and "licenses" tag names (instead of "language" and "license").
This is a blocking issue: no subsequent PR can be opened to modify their metadata: a ValueError will be thrown.
We should fix the "language" and ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5083 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5083/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5083/comments | https://api.github.com/repos/huggingface/datasets/issues/5083/events | https://github.com/huggingface/datasets/issues/5083 | 1,399,842,514 | I_kwDODunzps5Tb-bS | 5,083 | Support numpy/torch/tf/jax formatting for IterableDataset | {
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"hii @lhoestq, can you assign this issue to me? Though i am new to open source still I would love to put my best foot forward. I can see there isn't anyone right now assigned to this issue.",
"Hi @zutarich ! This issue was fixed by #5852 - sorry I forgot to close it\r\n\r\nFeel free to look for other issues and p... | 2022-10-06T15:14:58Z | 2023-10-09T12:42:15Z | 2023-10-09T12:42:15Z | {
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} | Right now `IterableDataset` doesn't do any formatting.
In particular this code should return a numpy array:
```python
from datasets import load_dataset
ds = load_dataset("imagenet-1k", split="train", streaming=True).with_format("np")
print(next(iter(ds))["image"])
```
Right now it returns a PIL.Image.
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"Hi @theo-m !\r\n\r\nA few lines above this line, you'll find that the `_split_generators` method returns a list of `SplitGenerator`s objects:\r\n\r\n```python\r\ndatasets.SplitGenerator(\r\n name=datasets.Split.VALIDATION,\r\n # These kwargs will be passed to _generate_examples\r\n gen_kwargs={\r\n ... | 2021-03-09T08:42:11Z | 2021-03-12T15:01:34Z | 2021-03-12T15:01:34Z | {
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} | https://github.com/huggingface/datasets/blob/2ac9a0d24a091989f869af55f9f6411b37ff5188/templates/new_dataset_script.py#L156-L158
Looking at the template, I find this documentation line to be confusing, the method parameters don't include the `gen_kwargs` so I'm unclear where they're coming from.
Happy to push a PR... | {
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https://api.github.com/repos/huggingface/datasets/issues/6564 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6564/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6564/comments | https://api.github.com/repos/huggingface/datasets/issues/6564/events | https://github.com/huggingface/datasets/issues/6564 | 2,068,893,194 | I_kwDODunzps57UM4K | 6,564 | `Dataset.filter` missing `with_rank` parameter | {
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"Thanks for reporting! I've opened a PR with a fix",
"@mariosasko thank you very much :)"
] | 2024-01-06T23:48:13Z | 2024-01-29T16:36:55Z | 2024-01-29T16:36:54Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
The issue shall be open: https://github.com/huggingface/datasets/issues/6435
When i try to pass `with_rank` to `Dataset.filter()`, i get this:
`Dataset.filter() got an unexpected keyword argument 'with_rank'`
### Steps to reproduce the bug
Run notebook:
https://colab.research.google.com... | {
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https://api.github.com/repos/huggingface/datasets/issues/4953 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4953/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4953/comments | https://api.github.com/repos/huggingface/datasets/issues/4953/events | https://github.com/huggingface/datasets/issues/4953 | 1,366,356,514 | I_kwDODunzps5RcPIi | 4,953 | CI test of TensorFlow is failing | {
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] | closed | false | [] | null | [] | 2022-09-08T13:39:29Z | 2022-09-08T15:14:45Z | 2022-09-08T15:14:45Z | null | MEMBER | [] | null | null | {
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The following CI test fails: https://github.com/huggingface/datasets/runs/8246722693?check_suite_focus=true
```
FAILED tests/test_py_utils.py::TempSeedTest::test_tensorflow - AssertionError:
```
Details:
```
_________________________ TempSeedTest.test_tensorflow _________________________
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https://api.github.com/repos/huggingface/datasets/issues/6990 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6990/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6990/comments | https://api.github.com/repos/huggingface/datasets/issues/6990/events | https://github.com/huggingface/datasets/issues/6990 | 2,366,660,785 | I_kwDODunzps6NEGCx | 6,990 | Problematic rank after calling `split_dataset_by_node` twice | {
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"ah yes good catch ! feel free to open a PR with your suggested fix"
] | 2024-06-21T14:25:26Z | 2024-06-25T16:19:19Z | 2024-06-25T16:19:19Z | null | CONTRIBUTOR | [] | null | null | {
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} | ### Describe the bug
I'm trying to split `IterableDataset` by `split_dataset_by_node`.
But when doing split on a already split dataset, the resulting `rank` is greater than `world_size`.
### Steps to reproduce the bug
Here is the minimal code for reproduction:
```py
>>> from datasets import load_dataset
>>... | {
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https://api.github.com/repos/huggingface/datasets/issues/6736 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6736/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6736/comments | https://api.github.com/repos/huggingface/datasets/issues/6736/events | https://github.com/huggingface/datasets/issues/6736 | 2,190,181,422 | I_kwDODunzps6Ci4Qu | 6,736 | Mosaic Streaming (MDS) Support | {
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"Hi ! that would be great :) Though note that `datasets` doesn't implement format-specific resuming when streaming, so in general I think it's better if users can use the mosaic-streaming library to read their MDS datasets. I wonder if they support `hf://` paths though...\n\nAnyway for those interested, the code fo... | 2024-03-16T18:42:04Z | 2025-09-10T14:32:13Z | null | null | NONE | [] | null | null | {
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} | ### Feature request
I'm a huge fan of the current HF Datasets `webdataset` integration (especially the built-in streaming support). However, I'd love to upload some robotics and multimodal datasets I've processed for use with [Mosaic Streaming](https://docs.mosaicml.com/projects/streaming/en/stable/), specifically the... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6239 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6239/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6239/comments | https://api.github.com/repos/huggingface/datasets/issues/6239/events | https://github.com/huggingface/datasets/issues/6239 | 1,895,349,382 | I_kwDODunzps5w-LyG | 6,239 | Load local audio data doesn't work | {
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"I think this is the same issue as https://github.com/huggingface/datasets/issues/4776. Maybe installing `ffmpeg` can fix it:\r\n```python\r\nadd-apt-repository -y ppa:savoury1/ffmpeg4\r\napt-get -qq install -y ffmpeg\r\n```\r\n\r\nHowever, the best solution is to use a newer version of `datasets`. In the recent re... | 2023-09-13T22:30:01Z | 2023-09-15T14:32:10Z | 2023-09-15T14:32:10Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
I get a RuntimeError from the following code:
```python
audio_dataset = Dataset.from_dict({"audio": ["/kaggle/input/bengaliai-speech/train_mp3s/000005f3362c.mp3"]}).cast_column("audio", Audio())
audio_dataset[0]
```
### Traceback
<details>
```python
RuntimeError ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2029 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2029/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2029/comments | https://api.github.com/repos/huggingface/datasets/issues/2029/events | https://github.com/huggingface/datasets/issues/2029 | 829,097,290 | MDU6SXNzdWU4MjkwOTcyOTA= | 2,029 | Loading a faiss index KeyError | {
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"In your code `dataset2` doesn't contain the \"embeddings\" column, since it is created from the pandas DataFrame with columns \"text\" and \"label\".\r\n\r\nTherefore when you call `dataset2[embeddings_name]`, you get a `KeyError`.\r\n\r\nIf you want the \"embeddings\" column back, you can create `dataset2` with\r... | 2021-03-11T12:16:13Z | 2021-03-12T00:21:09Z | 2021-03-12T00:21:09Z | null | NONE | [] | null | null | {
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} | I've recently been testing out RAG and DPR embeddings, and I've run into an issue that is not apparent in the documentation.
The basic steps are:
1. Create a dataset (dataset1)
2. Create an embeddings column using DPR
3. Add a faiss index to the dataset
4. Save faiss index to a file
5. Create a new dataset (d... | {
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https://api.github.com/repos/huggingface/datasets/issues/3818 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3818/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3818/comments | https://api.github.com/repos/huggingface/datasets/issues/3818/events | https://github.com/huggingface/datasets/issues/3818 | 1,158,788,545 | I_kwDODunzps5FEbXB | 3,818 | Support for "sources" parameter in the add() and add_batch() methods in datasets.metric - SARI | {
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"Hi, thanks for reporting! We can add a `sources: datasets.Value(\"string\")` feature to the `Features` dict in the `SARI` script to fix this. Would you be interested in submitting a PR?",
"Hi Mario,\r\n\r\nThanks for your message. I did try to add `sources` into the `Features` dict using a script for the metric:... | 2022-03-03T18:57:54Z | 2022-03-04T18:04:21Z | 2022-03-04T18:04:21Z | null | NONE | [] | null | null | {
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} | **Is your feature request related to a problem? Please describe.**
The methods `add_batch` and `add` from the `Metric` [class](https://github.com/huggingface/datasets/blob/1675ad6a958435b675a849eafa8a7f10fe0f43bc/src/datasets/metric.py) does not work with [SARI](https://github.com/huggingface/datasets/blob/master/metr... | {
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https://api.github.com/repos/huggingface/datasets/issues/678 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/678/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/678/comments | https://api.github.com/repos/huggingface/datasets/issues/678/events | https://github.com/huggingface/datasets/issues/678 | 710,060,497 | MDU6SXNzdWU3MTAwNjA0OTc= | 678 | The download instructions for c4 datasets are not contained in the error message | {
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"Good catch !\r\nIndeed the `@property` is missing.\r\n\r\nFeel free to open a PR :)",
"Also not that C4 is a dataset that needs an Apache Beam runtime to be generated.\r\nFor example Dataflow, Spark, Flink etc.\r\n\r\nUsually we generate the dataset on our side once and for all, but we haven't done it for C4 yet... | 2020-09-28T08:30:54Z | 2020-09-28T10:26:09Z | 2020-09-28T10:26:09Z | null | CONTRIBUTOR | [] | null | null | {
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```The dataset c4 with config en requires manual data.
Please follow the manual download instructions: <bound method C4.manual_download_instructions of <datasets_modules.datasets.c4.830b0c218bd41fed439812c8dd19dbd4767d2a3faa385eb695cf8666c982b1b3.c4.C4 object at 0x7ff... | {
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https://api.github.com/repos/huggingface/datasets/issues/7440 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7440/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7440/comments | https://api.github.com/repos/huggingface/datasets/issues/7440/events | https://github.com/huggingface/datasets/issues/7440 | 2,903,740,662 | I_kwDODunzps6tE5D2 | 7,440 | IterableDataset raises FileNotFoundError instead of retrying | {
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"I have since been training more models with identical architectures over the same dataset, and it is completely unstable. One has now failed at chunk9/1215, whilst others have gotten past that.\n```python\nFileNotFoundError: zstd://example_train_1215.jsonl::hf://datasets/cerebras/SlimPajama-627B@2d0accdd58c5d55119... | 2025-03-07T19:14:18Z | 2026-04-24T11:15:36Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
In https://github.com/huggingface/datasets/issues/6843 it was noted that the streaming feature of `datasets` is highly susceptible to outages and doesn't back off for long (or even *at all*).
I was training a model while streaming SlimPajama and training crashed with a `FileNotFoundError`. I can ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/4656 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4656/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4656/comments | https://api.github.com/repos/huggingface/datasets/issues/4656/events | https://github.com/huggingface/datasets/issues/4656 | 1,296,740,266 | I_kwDODunzps5NSq-q | 4,656 | Add Amazon-QA Dataset | {
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"description": "Requesting to add a new dataset",
"id": 2067376369,
"name": "dataset request",
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"uploaded dataset [here](https://huggingface.co/datasets/embedding-data/Amazon-QA)."
] | 2022-07-07T03:15:11Z | 2022-07-14T02:20:12Z | 2022-07-14T02:20:12Z | null | NONE | [] | null | null | {
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} | ## Adding a Dataset
- **Name:** *Amazon-QA*
- **Description:** *The dataset is .jsonl format, where each line in the file is a json string that corresponds to a question, existing answers to the question and the extracted review snippets (relevant to the question).*
- **Paper:** *https://github.com/amazonqa/amazonqa... | {
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https://api.github.com/repos/huggingface/datasets/issues/5481 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5481/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5481/comments | https://api.github.com/repos/huggingface/datasets/issues/5481/events | https://github.com/huggingface/datasets/issues/5481 | 1,560,468,195 | I_kwDODunzps5dAtrj | 5,481 | Load a cached dataset as iterable | {
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"Can I work on this issue? I am pretty new to this.",
"Hi ! Sure :) you can comment `#self-assign` to assign yourself to this issue.\r\n\r\nI can give you some pointers to get started:\r\n\r\n`load_dataset` works roughly this way:\r\n1. it instantiate a dataset builder using `load_dataset_builder()`\r\n2. the bui... | 2023-01-27T21:43:51Z | 2025-06-19T19:30:52Z | null | null | MEMBER | [] | null | null | {
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} | The idea would be to allow something like
```python
ds = load_dataset("c4", "en", as_iterable=True)
```
To be used to train models. It would load an IterableDataset from the cached Arrow files.
Cc @stas00
Edit : from the discussions we may load from cache when streaming=True | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7717 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7717/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7717/comments | https://api.github.com/repos/huggingface/datasets/issues/7717/events | https://github.com/huggingface/datasets/issues/7717 | 3,282,855,127 | I_kwDODunzps7DrGTX | 7,717 | Cached dataset is not used when explicitly passing the cache_dir parameter | {
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"Hi, I've investigated this issue and can confirm the bug. Here are my findings:\n\n**1. Reproduction:**\nI was able to reproduce the issue on the latest `main` branch. Using the provided code snippet, `snapshot_download` correctly populates the custom `cache_dir`, but `load_dataset` with the same `cache_dir` trigg... | 2025-08-01T07:12:41Z | 2025-08-05T19:19:36Z | null | null | NONE | [] | null | null | {
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} | {
"blocked_by": 0,
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} | ### Describe the bug
Hi, we are pre-downloading a dataset using snapshot_download(). When loading this exact dataset with load_dataset() the cached snapshot is not used. In both calls, I provide the cache_dir parameter.
### Steps to reproduce the bug
```
from datasets import load_dataset, concatenate_datasets
from h... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6837 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6837/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6837/comments | https://api.github.com/repos/huggingface/datasets/issues/6837/events | https://github.com/huggingface/datasets/issues/6837 | 2,263,273,983 | I_kwDODunzps6G5tH_ | 6,837 | Cannot use cached dataset without Internet connection (or when servers are down) | {
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"There are 2 workarounds, tho:\r\n1. Download datasets from web and just load them locally\r\n2. Use metadata directly (temporal solution, since metadata can change)\r\n```\r\nimport datasets\r\nfrom datasets.data_files import DataFilesDict, DataFilesList\r\n\r\ndata_files_list = DataFilesList(\r\n [\r\n ... | 2024-04-25T10:48:20Z | 2025-01-25T16:36:41Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
I want to be able to use cached dataset from HuggingFace even when I have no Internet connection (or when HuggingFace servers are down, or my company has network issues).
The problem why I can't use it:
`data_files` argument from `datasets.load_dataset()` function get it updates from the serve... | null | {
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