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https://api.github.com/repos/huggingface/datasets/issues/2407 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2407/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2407/comments | https://api.github.com/repos/huggingface/datasets/issues/2407/events | https://github.com/huggingface/datasets/issues/2407 | 903,111,755 | MDU6SXNzdWU5MDMxMTE3NTU= | 2,407 | .map() function got an unexpected keyword argument 'cache_file_name' | {
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"Hi @cindyxinyiwang,\r\nDid you try adding `.arrow` after `cache_file_name` argument? Here I think they're expecting something like that only for a cache file:\r\nhttps://github.com/huggingface/datasets/blob/e08362256fb157c0b3038437fc0d7a0bbb50de5c/src/datasets/arrow_dataset.py#L1556-L1558",
"Hi ! `cache_file_nam... | 2021-05-27T01:54:26Z | 2021-05-27T13:46:40Z | 2021-05-27T13:46:40Z | null | NONE | [] | null | null | {
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} | ## Describe the bug
I'm trying to save the result of datasets.map() to a specific file, so that I can easily share it among multiple computers without reprocessing the dataset. However, when I try to pass an argument 'cache_file_name' to the .map() function, it throws an error that ".map() function got an unexpected... | {
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https://api.github.com/repos/huggingface/datasets/issues/4075 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4075/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4075/comments | https://api.github.com/repos/huggingface/datasets/issues/4075/events | https://github.com/huggingface/datasets/issues/4075 | 1,188,462,162 | I_kwDODunzps5G1n5S | 4,075 | Add CCAgT dataset | {
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"Awesome ! Let us know if you have questions or if we can help ;) I'm assigning you\r\n\r\nPS: if possible, please try to not use Google Drive links in your dataset script, since Google Drive has download quotas and is not always reliable.",
"HI, I was waiting to come out in the second version to do the implement... | 2022-03-31T18:20:28Z | 2022-07-06T19:03:42Z | 2022-07-06T19:03:42Z | {
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} | ## Adding a Dataset
- **Name:** CCAgT dataset: Images of Cervical Cells with AgNOR Stain Technique
- **Description:** The dataset contains 2540 images (1600x1200 where each pixel is 0.111μm×0.111μm) from three different slides, having at least one nucleus per image. These images are from fields belonging to a sample ... | {
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https://api.github.com/repos/huggingface/datasets/issues/519 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/519/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/519/comments | https://api.github.com/repos/huggingface/datasets/issues/519/events | https://github.com/huggingface/datasets/issues/519 | 682,193,882 | MDU6SXNzdWU2ODIxOTM4ODI= | 519 | [BUG] Metrics throwing new error on master since 0.4.0 | {
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"Update - maybe this is only failing on bleu because I was not tokenizing inputs to the metric",
"Closing - seems to be just forgetting to tokenize. And found the helpful discussion in huggingface/evaluate#105 "
] | 2020-08-19T21:29:15Z | 2022-06-02T16:41:01Z | 2020-08-19T22:04:40Z | null | CONTRIBUTOR | [] | null | null | {
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} | The following error occurs when passing in references of type `List[List[str]]` to metrics like bleu.
Wasn't happening on 0.4.0 but happening now on master.
```
File "/usr/local/lib/python3.7/site-packages/nlp/metric.py", line 226, in compute
self.add_batch(predictions=predictions, references=references)
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https://api.github.com/repos/huggingface/datasets/issues/329 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/329/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/329/comments | https://api.github.com/repos/huggingface/datasets/issues/329/events | https://github.com/huggingface/datasets/issues/329 | 648,446,979 | MDU6SXNzdWU2NDg0NDY5Nzk= | 329 | [Bug] FileLock dependency incompatible with filesystem | {
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"Hi, can you give details on your environment/os/packages versions/etc?",
"Environment is Ubuntu 18.04, Python 3.7.5, nlp==0.3.0, filelock=3.0.12.\r\n\r\nThe external volume is Amazon FSx for Lustre, and it by default creates files with limited permissions. My working theory is that FileLock creates a lockfile th... | 2020-06-30T19:45:31Z | 2024-12-26T15:13:39Z | 2020-06-30T21:33:06Z | null | CONTRIBUTOR | [] | null | null | {
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} | I'm downloading a dataset successfully with
`load_dataset("wikitext", "wikitext-2-raw-v1")`
But when I attempt to cache it on an external volume, it hangs indefinitely:
`load_dataset("wikitext", "wikitext-2-raw-v1", cache_dir="/fsx") # /fsx is an external volume mount`
The filesystem when hanging looks like thi... | {
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https://api.github.com/repos/huggingface/datasets/issues/3956 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3956/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3956/comments | https://api.github.com/repos/huggingface/datasets/issues/3956/events | https://github.com/huggingface/datasets/issues/3956 | 1,172,272,327 | I_kwDODunzps5F33TH | 3,956 | TypeError: __init__() missing 1 required positional argument: 'scheme' | {
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"Hi @amirj, thanks for reporting.\r\n\r\nAt first sight, your issue seems a version incompatibility between your Elasticsearch client and your Elasticsearch server.\r\n\r\nFeel free to have a look at Elasticsearch client docs: https://www.elastic.co/guide/en/elasticsearch/client/python-api/current/overview.html#_co... | 2022-03-17T11:43:13Z | 2023-11-21T04:26:20Z | 2022-03-28T08:00:01Z | {
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} | ## Describe the bug
Based on [this tutorial](https://huggingface.co/docs/datasets/faiss_es#elasticsearch) the provided code should add Elasticsearch index but raised the following error, probably the new Elasticsearch version is not compatible though the tutorial doesn't provide any information about the supporting El... | {
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https://api.github.com/repos/huggingface/datasets/issues/2618 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2618/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2618/comments | https://api.github.com/repos/huggingface/datasets/issues/2618/events | https://github.com/huggingface/datasets/issues/2618 | 940,852,640 | MDU6SXNzdWU5NDA4NTI2NDA= | 2,618 | `filelock.py` Error | {
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"Hi @liyucheng09, thanks for reporting.\r\n\r\nApparently this issue has to do with your environment setup. One question: is your data in an NFS share? Some people have reported this error when using `fcntl` to write to an NFS share... If this is the case, then it might be that your NFS just may not be set up to pr... | 2021-07-09T15:12:49Z | 2024-06-21T06:14:07Z | 2023-11-23T19:06:19Z | null | NONE | [] | null | null | {
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It seems that the `filelock.py` went error.
```
>>> ds=load_dataset('xsum')
^CTraceback (most recent call last):
File "/user/HS502/yl02706/.conda/envs/lyc/lib/python3.6/site-packages/datasets/utils/filelock.py", line 402, in _acquire
fcntl.flock(fd, fcntl.LOCK_EX | fcntl.LOCK_NB)
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https://api.github.com/repos/huggingface/datasets/issues/6457 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6457/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6457/comments | https://api.github.com/repos/huggingface/datasets/issues/6457/events | https://github.com/huggingface/datasets/issues/6457 | 2,015,650,563 | I_kwDODunzps54JGMD | 6,457 | `TypeError`: huggingface_hub.hf_file_system.HfFileSystem.find() got multiple values for keyword argument 'maxdepth' | {
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"Updating `fsspec>=2023.10.0` did solve the issue.",
"May be it should be pinned somewhere?",
"> Maybe this should go in datasets directly... anyways you can easily fix this error by updating datasets>=2.15.1.dev0.\r\n\r\n@lhoestq @mariosasko for what I understand this is a bug fixed in `datasets` already, righ... | 2023-11-29T01:57:36Z | 2023-11-29T15:39:03Z | 2023-11-29T02:02:38Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
Please see https://github.com/huggingface/huggingface_hub/issues/1872
### Steps to reproduce the bug
Please see https://github.com/huggingface/huggingface_hub/issues/1872
### Expected behavior
Please see https://github.com/huggingface/huggingface_hub/issues/1872
### Environment info
Please s... | {
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https://api.github.com/repos/huggingface/datasets/issues/6602 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6602/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6602/comments | https://api.github.com/repos/huggingface/datasets/issues/6602/events | https://github.com/huggingface/datasets/issues/6602 | 2,089,217,483 | I_kwDODunzps58hu3L | 6,602 | Index error when data is large | {
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"I'm facing this problem while doing my translation of [mteb/stackexchange-clustering](https://huggingface.co/datasets/mteb/stackexchange-clustering). each row has lots of samples (up to 100k samples), because in this dataset, each row represent multiple clusters.\nmy hack is to setting `max_shard_size` to 20Gb or ... | 2024-01-18T23:00:47Z | 2025-04-16T04:13:01Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
At `save_to_disk` step, the `max_shard_size` by default is `500MB`. However, one row of the dataset might be larger than `500MB` then the saving will throw an index error. Without looking at the source code, the bug is due to wrong calculation of number of shards which i think is
`total_size / m... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5186 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5186/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5186/comments | https://api.github.com/repos/huggingface/datasets/issues/5186/events | https://github.com/huggingface/datasets/issues/5186 | 1,432,045,011 | I_kwDODunzps5VW0XT | 5,186 | Incorrect error message when Dataset.from_sql fails and sqlalchemy not installed | {
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"Hi! The first `Dataset.from_sql` call also outputs the \"ImportError: Using URI string without sqlalchemy installed.\" message, but you also get \"During handling of the above exception another exception occurred: ...\" after which the ValueError is printed. I agree that this behavior makes it easy to miss the ori... | 2022-11-01T20:25:51Z | 2022-11-15T18:24:39Z | 2022-11-15T18:24:39Z | {
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} | ### Describe the bug
When calling `Dataset.from_sql` (in my case, with sqlite3), it fails with a message ```ValueError: Please pass `features` or at least one example when writing data``` when I don't have `sqlalchemy` installed.
### Steps to reproduce the bug
Make a new sqlite db with `sqlite3` and `pandas` from... | {
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https://api.github.com/repos/huggingface/datasets/issues/6139 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6139/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6139/comments | https://api.github.com/repos/huggingface/datasets/issues/6139/events | https://github.com/huggingface/datasets/issues/6139 | 1,844,991,583 | I_kwDODunzps5t-FZf | 6,139 | Offline dataset viewer | {
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"Hi, thanks for the suggestion. It's not possible at the moment. The viewer is part of the Hub codebase and only works on public datasets. Also, it relies on [Datasets Server](https://github.com/huggingface/datasets-server/), which prepares the data and provides an API to access the rows, size, etc.\r\n\r\nIf you'r... | 2023-08-10T11:30:00Z | 2024-09-24T18:36:35Z | 2023-09-29T13:10:22Z | null | NONE | [] | null | null | {
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} | ### Feature request
The dataset viewer feature is very nice. It enables to the user to easily view the dataset. However, when working for private companies we cannot always upload the dataset to the hub. Is there a way to create dataset viewer offline? I.e. to run a code that will open some kind of html or something t... | {
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https://api.github.com/repos/huggingface/datasets/issues/1287 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1287/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1287/comments | https://api.github.com/repos/huggingface/datasets/issues/1287/events | https://github.com/huggingface/datasets/issues/1287 | 759,300,992 | MDU6SXNzdWU3NTkzMDA5OTI= | 1,287 | 'iwslt2017-ro-nl', cannot be downloaded | {
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"the same issue with datasets.load_dataset(\"iwslt2017\", 'iwslt2017-en-nl', split=split), ..... ",
"even with setting master like the following command, still remains \r\n\r\ndatasets.load_dataset(\"iwslt2017\", 'iwslt2017-en-nl', split=\"train\", script_version=\"master\")\r\n",
"Looks like the data has been ... | 2020-12-08T09:56:55Z | 2022-06-13T10:41:33Z | 2022-06-13T10:41:33Z | {
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I am trying
`>>> datasets.load_dataset("iwslt2017", 'iwslt2017-ro-nl', split="train")`
getting this error thank you for your help
```
cahce dir /idiap/temp/rkarimi/cache_home_1/datasets
cahce dir /idiap/temp/rkarimi/cache_home_1/datasets
Downloading and preparing dataset iwsl_t217/iwslt2017-ro-nl (downlo... | {
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https://api.github.com/repos/huggingface/datasets/issues/2434 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2434/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2434/comments | https://api.github.com/repos/huggingface/datasets/issues/2434/events | https://github.com/huggingface/datasets/issues/2434 | 907,503,557 | MDU6SXNzdWU5MDc1MDM1NTc= | 2,434 | Extend QuestionAnsweringExtractive template to handle nested columns | {
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"this is also the case for the following datasets and configurations:\r\n\r\n* `mlqa` with config `mlqa-translate-train.ar`\r\n\r\n",
"The current task API is somewhat deprecated (we plan to align it with `train eval index` at some point), so I think we can close this issue."
] | 2021-05-31T14:06:51Z | 2022-10-05T17:06:28Z | 2022-10-05T17:06:28Z | null | MEMBER | [] | null | null | {
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} | Currently the `QuestionAnsweringExtractive` task template and `preprare_for_task` only support "flat" features. We should extend the functionality to cover QA datasets like:
* `iapp_wiki_qa_squad`
* `parsinlu_reading_comprehension`
where the nested features differ with those from `squad` and trigger an `ArrowNot... | {
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https://api.github.com/repos/huggingface/datasets/issues/5133 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5133/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5133/comments | https://api.github.com/repos/huggingface/datasets/issues/5133/events | https://github.com/huggingface/datasets/issues/5133 | 1,413,623,462 | I_kwDODunzps5UQi6m | 5,133 | Tensor operation not functioning in dataset mapping | {
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"Hi! The Torch ops in your snippet are not equivalent to the NumPy ones, hence the difference. You can get the same behavior by replacing the line `feature = torch.mean(feature, dim=1)` with `feature = feature.squeeze().mean(1)` .",
"> Hi! The Torch ops in your snippet are not equivalent to the NumPy ones, hence ... | 2022-10-18T17:53:35Z | 2022-10-19T04:15:45Z | 2022-10-19T04:15:44Z | null | NONE | [] | null | null | {
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} | ## Describe the bug
I'm doing a torch.mean() operation in data preprocessing, and it's not working.
## Steps to reproduce the bug
```
from transformers import pipeline
import torch
import numpy as np
from datasets import load_dataset
device = 'cuda:0'
raw_dataset = load_dataset("glue", "sst2")
feature_extra... | {
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https://api.github.com/repos/huggingface/datasets/issues/6771 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6771/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6771/comments | https://api.github.com/repos/huggingface/datasets/issues/6771/events | https://github.com/huggingface/datasets/issues/6771 | 2,220,131,457 | I_kwDODunzps6EVISB | 6,771 | Datasets FileNotFoundError when trying to generate examples. | {
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"Hi! I've opened a PR in the repo to fix this issue: https://huggingface.co/datasets/RitchieP/VerbaLex_voice/discussions/6",
"@mariosasko Thanks for the PR and help! Guess I could close the issue for now. Appreciate the help!"
] | 2024-04-02T10:24:57Z | 2024-04-04T14:22:03Z | 2024-04-04T14:22:03Z | null | NONE | [] | null | null | {
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<div type='discussions-op-text'>
<sup>Originally posted by **RitchieP** April 1, 2024</sup>
Currently, I have a dataset hosted on Huggingface with a custom script [here](https://huggingface.co/datasets/RitchieP/VerbaLex_voice).
I'm loa... | {
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https://api.github.com/repos/huggingface/datasets/issues/5475 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5475/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5475/comments | https://api.github.com/repos/huggingface/datasets/issues/5475/events | https://github.com/huggingface/datasets/issues/5475 | 1,559,030,149 | I_kwDODunzps5c7OmF | 5,475 | Dataset scan time is much slower than using native arrow | {
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"Hi ! In your code you only iterate on the Arrow buffers - you don't actually load the data as python objects. For a fair comparison, you can modify your code using:\r\n```diff\r\n- for _ in range(0, len(table), bsz):\r\n- _ = {k:table[k][_ : _ + bsz] for k in cols}\r\n+ for _ in range(0, len(table)... | 2023-01-27T01:32:25Z | 2023-01-30T16:17:11Z | 2023-01-30T16:17:11Z | null | CONTRIBUTOR | [] | null | null | {
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} | ### Describe the bug
I'm basically running the same scanning experiment from the tutorials https://huggingface.co/course/chapter5/4?fw=pt except now I'm comparing to a native pyarrow version.
I'm finding that the native pyarrow approach is much faster (2 orders of magnitude). Is there something I'm missing that exp... | {
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https://api.github.com/repos/huggingface/datasets/issues/4787 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4787/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4787/comments | https://api.github.com/repos/huggingface/datasets/issues/4787/events | https://github.com/huggingface/datasets/issues/4787 | 1,328,243,911 | I_kwDODunzps5PK2TH | 4,787 | NonMatchingChecksumError in mbpp dataset | {
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} | ## Describe the bug
As reported on the Hub [Fix Checksum Mismatch](https://huggingface.co/datasets/mbpp/discussions/1), there is a `NonMatchingChecksumError` when loading mbpp dataset
## Steps to reproduce the bug
```python
ds = load_dataset("mbpp", "full")
```
## Expected results
Loading of the dataset with... | {
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https://api.github.com/repos/huggingface/datasets/issues/2654 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2654/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2654/comments | https://api.github.com/repos/huggingface/datasets/issues/2654/events | https://github.com/huggingface/datasets/issues/2654 | 945,167,231 | MDU6SXNzdWU5NDUxNjcyMzE= | 2,654 | Give a user feedback if the dataset he loads is streamable or not | {
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"#self-assign",
"I understand it already raises a `NotImplementedError` exception, eg:\r\n\r\n```\r\n>>> dataset = load_dataset(\"journalists_questions\", name=\"plain_text\", split=\"train\", streaming=True)\r\n\r\n[...]\r\nNotImplementedError: Extraction protocol for file at https://drive.google.com/uc?export=d... | 2021-07-15T09:07:27Z | 2021-08-02T11:03:21Z | null | {
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} | **Is your feature request related to a problem? Please describe.**
I would love to know if a `dataset` is with the current implementation streamable or not.
**Describe the solution you'd like**
We could show a warning when a dataset is loaded with `load_dataset('...',streaming=True)` when its lot streamable, e.g.... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7430 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7430/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7430/comments | https://api.github.com/repos/huggingface/datasets/issues/7430/events | https://github.com/huggingface/datasets/issues/7430 | 2,886,922,573 | I_kwDODunzps6sEvFN | 7,430 | Error in code "Time to slice and dice" from course "NLP Course" | {
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"You should open an issue in the NLP course website / github page. I'm closing this issue if you don't mind",
"ok, i don't mind, i'll mark the error there"
] | 2025-02-28T11:36:10Z | 2025-03-05T11:32:47Z | 2025-03-03T17:52:15Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
When we execute code
```
frequencies = (
train_df["condition"]
.value_counts()
.to_frame()
.reset_index()
.rename(columns={"index": "condition", "condition": "frequency"})
)
frequencies.head()
```
answer should be like this
condition | frequency
birth control | 27655
dep... | {
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https://api.github.com/repos/huggingface/datasets/issues/5908 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5908/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5908/comments | https://api.github.com/repos/huggingface/datasets/issues/5908/events | https://github.com/huggingface/datasets/issues/5908 | 1,728,653,935 | I_kwDODunzps5nCSpv | 5,908 | Unbearably slow sorting on big mapped datasets | {
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"Hi ! `shard` currently returns a slow dataset by default, with examples evenly distributed in the dataset.\r\n\r\nYou can get a fast dataset using `contiguous=True` (which should be the default imo):\r\n\r\n```python\r\ndataset = dataset.shard(10, 0, contiguous=True)\r\n```\r\n\r\nThis way you don't need to flatte... | 2023-05-27T11:08:32Z | 2023-06-13T17:45:10Z | null | null | CONTRIBUTOR | [] | null | null | {
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} | ### Describe the bug
For me, with ~40k lines, sorting took 3.5 seconds on a flattened dataset (including the flatten operation) and 22.7 seconds on a mapped dataset (right after sharding), which is about x5 slowdown. Moreover, it seems like it slows down exponentially with bigger datasets (wasn't able to sort 700k lin... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7079 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7079/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7079/comments | https://api.github.com/repos/huggingface/datasets/issues/7079/events | https://github.com/huggingface/datasets/issues/7079 | 2,433,363,298 | I_kwDODunzps6RCi1i | 7,079 | HfHubHTTPError: 500 Server Error: Internal Server Error for url: | {
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"same issue here. @albertvillanova @lhoestq ",
"Also impacted by this issue in many of my datasets (though not all) - in my case, this also seems to affect datasets that have been updated recently. Git cloning and the web interface still work:\r\n- https://huggingface.co/api/datasets/acmc/cheat_reduced\r\n- https... | 2024-07-27T08:21:03Z | 2024-09-20T13:26:25Z | 2024-07-27T19:52:30Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
newly uploaded datasets, since yesterday, yields an error.
old datasets, works fine.
Seems like the datasets api server returns a 500
I'm getting the same error, when I invoke `load_dataset` with my dataset.
Long discussion about it here, but I'm not sure anyone from huggingface have s... | {
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https://api.github.com/repos/huggingface/datasets/issues/2727 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2727/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2727/comments | https://api.github.com/repos/huggingface/datasets/issues/2727/events | https://github.com/huggingface/datasets/issues/2727 | 955,812,149 | MDU6SXNzdWU5NTU4MTIxNDk= | 2,727 | Error in loading the Arabic Billion Words Corpus | {
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"I modified the dataset loading script to catch the `IndexError` and inspect the records at which the error is happening, and I found this:\r\nFor the `Techreen` config, the error happens in 36 records when trying to find the `Text` or `Dateline` tags. All these 36 records look something like:\r\n```\r\n<Techreen>\... | 2021-07-29T12:53:09Z | 2021-07-30T13:03:55Z | 2021-07-30T13:03:55Z | {
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} | ## Describe the bug
I get `IndexError: list index out of range` when trying to load the `Techreen` and `Almustaqbal` configs of the dataset.
## Steps to reproduce the bug
```python
load_dataset("arabic_billion_words", "Techreen")
load_dataset("arabic_billion_words", "Almustaqbal")
```
## Expected results
Th... | {
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https://api.github.com/repos/huggingface/datasets/issues/6716 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6716/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6716/comments | https://api.github.com/repos/huggingface/datasets/issues/6716/events | https://github.com/huggingface/datasets/issues/6716 | 2,168,706,558 | I_kwDODunzps6BQ9X- | 6,716 | Non-deterministic `Dataset.builder_name` value | {
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"When `rotten_tomatoes` is printed out, the following warning message is also printed out:\r\n\r\n```\r\nYou can avoid this message in future by passing the argument `trust_remote_code=True`.\r\nPassing `trust_remote_code=True` will be mandatory to load this dataset from the next major release of `datasets`.\r\n```... | 2024-03-05T09:23:21Z | 2024-03-19T07:58:14Z | 2024-03-19T07:58:14Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
I'm not sure if this is a bug, but `print(ds.builder_name)` in the following code sometimes prints out `rotten_tomatoes` instead of `parquet`:
```python
import datasets
for _ in range(100):
ds = datasets.load_dataset("rotten_tomatoes", split="train")
print(ds.builder_name) # pr... | {
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https://api.github.com/repos/huggingface/datasets/issues/2839 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2839/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2839/comments | https://api.github.com/repos/huggingface/datasets/issues/2839/events | https://github.com/huggingface/datasets/issues/2839 | 980,271,715 | MDU6SXNzdWU5ODAyNzE3MTU= | 2,839 | OpenWebText: NonMatchingSplitsSizesError | {
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"Thanks for reporting, I'm updating the verifications metadata",
"I just regenerated the verifications metadata and noticed that nothing changed: the data file is fine (the checksum didn't change), and the number of examples is still 8013769. Not sure how you managed to get 7982430 examples.\r\n\r\nCan you try to... | 2021-08-26T13:50:26Z | 2021-09-21T14:12:40Z | 2021-09-21T14:09:43Z | {
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} | ## Describe the bug
When downloading `openwebtext`, I'm getting:
```
datasets.utils.info_utils.NonMatchingSplitsSizesError: [{'expected': SplitInfo(name='train', num_bytes=39769494896, num_examples=8013769, dataset_name='openwebtext'), 'recorded': SplitInfo(name='train', num_bytes=39611023912, num_examples=7982430... | {
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https://api.github.com/repos/huggingface/datasets/issues/2161 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2161/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2161/comments | https://api.github.com/repos/huggingface/datasets/issues/2161/events | https://github.com/huggingface/datasets/issues/2161 | 849,127,041 | MDU6SXNzdWU4NDkxMjcwNDE= | 2,161 | any possibility to download part of large datasets only? | {
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"Not yet but it’s on the short/mid-term roadmap (requested by many indeed).",
"oh, great, really awesome feature to have, thank you very much for the great, fabulous work",
"We'll work on dataset streaming soon. This should allow you to only load the examples you need ;)",
"thanks a lot Quentin, this would be... | 2021-04-02T10:06:46Z | 2022-10-05T13:26:51Z | 2022-10-05T13:26:51Z | null | NONE | [] | null | null | {
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Some of the datasets I need like cc100 are very large, and then I wonder if I can download first X samples of the shuffled/unshuffled data without going through first downloading the whole data then sampling? thanks | {
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https://api.github.com/repos/huggingface/datasets/issues/6775 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6775/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6775/comments | https://api.github.com/repos/huggingface/datasets/issues/6775/events | https://github.com/huggingface/datasets/issues/6775 | 2,223,457,792 | I_kwDODunzps6Eh0YA | 6,775 | IndexError: Invalid key: 0 is out of bounds for size 0 | {
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"Same problem.",
"Hi! You should be able to fix this by passing `remove_unused_columns=False` to the `transformers` `TrainingArguments` as explained in https://github.com/huggingface/peft/issues/1299.\r\n\r\n(I'm not familiar with Vertex AI, but I'd assume `remove_unused_columns` can be passed as a flag to the do... | 2024-04-03T17:06:30Z | 2024-04-08T01:24:35Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
I am trying to fine-tune llama2-7b model in GCP. The notebook I am using for this can be found [here](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/community/model_garden/model_garden_pytorch_llama2_peft_finetuning.ipynb).
When I use the dataset given in the exa... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6808 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6808/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6808/comments | https://api.github.com/repos/huggingface/datasets/issues/6808/events | https://github.com/huggingface/datasets/issues/6808 | 2,242,843,611 | I_kwDODunzps6FrxPb | 6,808 | Make convert_to_parquet CLI command create script branch | {
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} | As proposed by @severo, maybe we should add this functionality as well to the CLI command to convert a script-dataset to Parquet. See: https://github.com/huggingface/datasets/pull/6795#discussion_r1562819168
> When providing support, we sometimes suggest that users store their script in a script branch. What do you th... | {
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https://api.github.com/repos/huggingface/datasets/issues/1713 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1713/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1713/comments | https://api.github.com/repos/huggingface/datasets/issues/1713/events | https://github.com/huggingface/datasets/issues/1713 | 782,337,723 | MDU6SXNzdWU3ODIzMzc3MjM= | 1,713 | Installation using conda | {
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"Yes indeed the idea is to have the next release on conda cc @LysandreJik ",
"Great! Did you guys have a timeframe in mind for the next release?\r\n\r\nThank you for all the great work in developing this library.",
"I think we can have `datasets` on conda by next week. Will see what I can do!",
"Thank you. Lo... | 2021-01-08T19:12:15Z | 2021-09-17T12:47:40Z | 2021-09-17T12:47:40Z | null | NONE | [] | null | null | {
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} | Will a conda package for installing datasets be added to the huggingface conda channel? I have installed transformers using conda and would like to use the datasets library to use some of the scripts in the transformers/examples folder but am unable to do so at the moment as datasets can only be installed using pip and... | {
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https://api.github.com/repos/huggingface/datasets/issues/5351 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5351/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5351/comments | https://api.github.com/repos/huggingface/datasets/issues/5351/events | https://github.com/huggingface/datasets/issues/5351 | 1,490,659,504 | I_kwDODunzps5Y2aiw | 5,351 | Do we need to implement `_prepare_split`? | {
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"Hi! `DatasetBuilder` is a parent class for concrete builders: `GeneratorBasedBuilder`, `ArrowBasedBuilder` and `BeamBasedBuilder`. When writing a builder script, these classes are the ones you should inherit from. And since all of them implement `_prepare_split`, you only have to implement the three methods mentio... | 2022-12-12T01:38:54Z | 2022-12-20T18:20:57Z | 2022-12-12T16:48:56Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
I'm not sure this is a bug or if it's just missing in the documentation, or i'm not doing something correctly, but I'm subclassing `DatasetBuilder` and getting the following error because on the `DatasetBuilder` class the `_prepare_split` method is abstract (as are the others we are required to im... | {
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https://api.github.com/repos/huggingface/datasets/issues/388 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/388/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/388/comments | https://api.github.com/repos/huggingface/datasets/issues/388/events | https://github.com/huggingface/datasets/issues/388 | 656,707,497 | MDU6SXNzdWU2NTY3MDc0OTc= | 388 | 🐛 [Dataset] Cannot download wmt14, wmt15 and wmt17 | {
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"similar slow download speed here for nlp.load_dataset('wmt14', 'fr-en')\r\n`\r\nDownloading: 100%|██████████████████████████████████████████████████████████| 658M/658M [1:00:42<00:00, 181kB/s]\r\nDownloading: 100%|██████████████████████████████████████████████████████████| 918M/918M [1:39:38<00:00, 154kB/s]\r\nDow... | 2020-07-14T15:36:41Z | 2022-10-04T18:01:28Z | 2022-10-04T18:01:28Z | {
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} | 1. I try downloading `wmt14`, `wmt15`, `wmt17`, `wmt19` with the following code:
```
nlp.load_dataset('wmt14','de-en')
nlp.load_dataset('wmt15','de-en')
nlp.load_dataset('wmt17','de-en')
nlp.load_dataset('wmt19','de-en')
```
The code runs but the download speed is **extremely slow**, the same behaviour is not ob... | {
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https://api.github.com/repos/huggingface/datasets/issues/7202 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7202/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7202/comments | https://api.github.com/repos/huggingface/datasets/issues/7202/events | https://github.com/huggingface/datasets/issues/7202 | 2,572,583,798 | I_kwDODunzps6ZVoN2 | 7,202 | `from_parquet` return type annotation | {
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As already posted in https://github.com/microsoft/pylance-release/issues/6534, the correct type hinting fails when building a dataset using the `from_parquet` constructor.
Their suggestion is to comprehensively annotate the method's return type to better align with the docstring information.
###... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/4235 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4235/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4235/comments | https://api.github.com/repos/huggingface/datasets/issues/4235/events | https://github.com/huggingface/datasets/issues/4235 | 1,216,952,640 | I_kwDODunzps5IiTlA | 4,235 | How to load VERY LARGE dataset? | {
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"The `Trainer` support `IterableDataset`, not just datasets."
] | 2022-04-27T07:50:13Z | 2023-07-25T15:07:57Z | 2023-07-25T15:07:57Z | null | NONE | [] | null | null | {
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} | ### System Info
```shell
I am using transformer trainer while meeting the issue.
The trainer requests torch.utils.data.Dataset as input, which loads the whole dataset into the memory at once. Therefore, when the dataset is too large to load, there's nothing I can do except using IterDataset, which loads samples of da... | {
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https://api.github.com/repos/huggingface/datasets/issues/3193 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3193/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3193/comments | https://api.github.com/repos/huggingface/datasets/issues/3193/events | https://github.com/huggingface/datasets/issues/3193 | 1,041,971,117 | I_kwDODunzps4-Gzet | 3,193 | Update link to datasets-tagging app | {
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- huggingface/datasets-tagging#22
We should update the link in Datasets. | {
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https://api.github.com/repos/huggingface/datasets/issues/4182 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4182/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4182/comments | https://api.github.com/repos/huggingface/datasets/issues/4182/events | https://github.com/huggingface/datasets/issues/4182 | 1,208,285,235 | I_kwDODunzps5IBPgz | 4,182 | Zenodo.org download is not responding | {
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"[Off topic but related: Is the uptime of S3 provably better than Zenodo's?]",
"Hi @dkajtoch, please note that at HuggingFace we are not hosting this dataset: we are just using a script to download their data file and create a dataset from it.\r\n\r\nIt was the dataset owners decision to host their data at Zenodo... | 2022-04-19T12:26:57Z | 2022-04-20T07:11:05Z | 2022-04-20T07:11:05Z | null | CONTRIBUTOR | [] | null | null | {
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Source download_url from zenodo.org does not respond.
`_DOWNLOAD_URL = "https://zenodo.org/record/2787612/files/SICK.zip?download=1"`
Other datasets also use zenodo.org to store data and they cannot be downloaded as well.
It would be better to actually use more reliable way to store original ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6386 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6386/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6386/comments | https://api.github.com/repos/huggingface/datasets/issues/6386/events | https://github.com/huggingface/datasets/issues/6386 | 1,979,878,014 | I_kwDODunzps52Aop- | 6,386 | Formatting overhead | {
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"Ah I think the `line-profiler` log is off-by-one and it is in fact the `extract_batch` method that's taking forever. Will investigate further.",
"I tracked it down to a quirk of my setup. Apologies."
] | 2023-11-06T19:06:38Z | 2023-11-06T23:56:12Z | 2023-11-06T23:56:12Z | null | NONE | [] | null | null | {
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Hi! I very recently noticed that my training time is dominated by batch formatting. Using Lightning's profilers, I located the bottleneck within `datasets.formatting.formatting` and then narrowed it down with `line-profiler`. It turns out that almost all of the overhead is due to creating new inst... | {
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https://api.github.com/repos/huggingface/datasets/issues/4115 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4115/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4115/comments | https://api.github.com/repos/huggingface/datasets/issues/4115/events | https://github.com/huggingface/datasets/issues/4115 | 1,194,907,555 | I_kwDODunzps5HONej | 4,115 | ImageFolder add option to ignore some folders like '.ipynb_checkpoints' | {
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"Maybe it would be nice to ignore private dirs like this one (ones starting with `.`) by default. \r\n\r\nCC @mariosasko ",
"Maybe we can add a `ignore_hidden_files` flag to the builder configs of our packaged loaders (to be consistent across all of them), wdyt @lhoestq @albertvillanova? ",
"I think they should... | 2022-04-06T17:29:43Z | 2022-06-01T13:04:16Z | 2022-06-01T13:04:16Z | null | CONTRIBUTOR | [] | null | null | {
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I sometimes like to peek at the dataset images from jupyterlab. thus '.ipynb_checkpoints' folder appears where my dataset is and (just realized) leads to accidental duplicate image additions. I think this is an easy enough thing to miss especially if t... | {
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https://api.github.com/repos/huggingface/datasets/issues/4910 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4910/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4910/comments | https://api.github.com/repos/huggingface/datasets/issues/4910/events | https://github.com/huggingface/datasets/issues/4910 | 1,354,374,328 | I_kwDODunzps5Quhy4 | 4,910 | Identical keywords in build_kwargs and config_kwargs lead to TypeError in load_dataset_builder() | {
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"I am getting similar error - `TypeError: type object got multiple values for keyword argument 'name'` while following this [tutorial](https://huggingface.co/docs/datasets/dataset_script#create-a-dataset-loading-script). I am getting this error with the `dataset-cli test` command.\r\n\r\n`datasets` version: 2.4.0",... | 2022-08-29T14:11:48Z | 2026-05-18T10:17:59Z | 2026-05-18T10:17:59Z | {
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} | ## Describe the bug
In `load_dataset_builder()`, `build_kwargs` and `config_kwargs` can contain the same keywords leading to a TypeError("type object got multiple values for keyword argument "xyz").
I ran into this problem with the keyword: `base_path`. It might happen with other kwargs as well. I think a quickfix... | {
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https://api.github.com/repos/huggingface/datasets/issues/2210 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2210/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2210/comments | https://api.github.com/repos/huggingface/datasets/issues/2210/events | https://github.com/huggingface/datasets/issues/2210 | 855,709,400 | MDU6SXNzdWU4NTU3MDk0MDA= | 2,210 | dataloading slow when using HUGE dataset | {
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"Hi ! Yes this is an issue with `datasets<=1.5.0`\r\nThis issue has been fixed by #2122 , we'll do a new release soon :)\r\nFor now you can test it on the `master` branch.",
"Hi, thank you for your answer. I did not realize that my issue stems from the same problem. "
] | 2021-04-12T08:33:02Z | 2021-04-13T02:03:05Z | 2021-04-13T02:03:05Z | null | NONE | [] | null | null | {
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When I use datasets with 600GB data, the dataloading speed increases significantly.
I am experimenting with two datasets, and one is about 60GB and the other 600GB.
Simply speaking, my code uses `datasets.set_format("torch")` function and let pytorch-lightning handle ddp training.
When looking at the pytorch... | {
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https://api.github.com/repos/huggingface/datasets/issues/4105 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4105/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4105/comments | https://api.github.com/repos/huggingface/datasets/issues/4105/events | https://github.com/huggingface/datasets/issues/4105 | 1,194,297,119 | I_kwDODunzps5HL4cf | 4,105 | push to hub fails with huggingface-hub 0.5.0 | {
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"Hi ! Indeed there was a breaking change in `huggingface_hub` 0.5.0 in `HfApi.create_repo`, which is called here in `datasets` by passing the org name in both the `repo_id` and the `organization` arguments:\r\n\r\nhttps://github.com/huggingface/datasets/blob/2230f7f7d7fbaf102cff356f5a8f3bd1561bea43/src/datasets/arr... | 2022-04-06T08:59:57Z | 2022-04-13T14:30:47Z | 2022-04-13T14:30:47Z | null | NONE | [] | null | null | {
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} | ## Describe the bug
`ds.push_to_hub` is failing when updating a dataset in the form "org_id/repo_id"
## Steps to reproduce the bug
```python
from datasets import load_dataset
ds = load_dataset("rubrix/news_test")
ds.push_to_hub("<your-user>/news_test", token="<your-token>")
```
## Expected results
The data... | {
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https://api.github.com/repos/huggingface/datasets/issues/138 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/138/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/138/comments | https://api.github.com/repos/huggingface/datasets/issues/138/events | https://github.com/huggingface/datasets/issues/138 | 619,225,191 | MDU6SXNzdWU2MTkyMjUxOTE= | 138 | Consider renaming to nld | {
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"I would suggest `nlds`. NLP is a very general, broad and ambiguous term, the library is not about NLP (as in processing) per se, it is about accessing Natural Language related datasets. So the name should reflect its purpose.\r\n",
"Chiming in to second everything @honnibal said, and to add that I think the curr... | 2020-05-15T20:23:27Z | 2022-09-16T05:18:22Z | 2020-09-28T00:08:10Z | null | NONE | [] | null | null | {
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Just making a thread here recording what I said on Twitter, as it's impossible to follow discussion there. It's also just really not a good way to talk about this sort of thing.
The issue is that modules go into the global namespace, so you shouldn't use variable names that conflict with module names. This... | {
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https://api.github.com/repos/huggingface/datasets/issues/7123 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7123/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7123/comments | https://api.github.com/repos/huggingface/datasets/issues/7123/events | https://github.com/huggingface/datasets/issues/7123 | 2,484,003,937 | I_kwDODunzps6UDuRh | 7,123 | Make dataset viewer more flexible in displaying metadata alongside images | {
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"Note that you can already have one directory per subset just for the metadata, e.g.\r\n\r\n```\r\nconfigs:\r\n - config_name: subset0\r\n data_files:\r\n - subset0/metadata.csv\r\n - images/*.jpg\r\n - config_name: subset1\r\n data_files:\r\n - subset1/metadata.csv\r\n - images/*.jpg\r\... | 2024-08-23T22:56:01Z | 2024-10-17T09:13:47Z | null | null | NONE | [] | null | null | {
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} | ### Feature request
To display images with their associated metadata in the dataset viewer, a `metadata.csv` file is required. In the case of a dataset with multiple subsets, this would require the CSVs to be contained in the same folder as the images since they all need to be named `metadata.csv`. The request is th... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5874 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5874/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5874/comments | https://api.github.com/repos/huggingface/datasets/issues/5874/events | https://github.com/huggingface/datasets/issues/5874 | 1,715,708,930 | I_kwDODunzps5mQ6QC | 5,874 | Using as_dataset on a "parquet" builder | {
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"Hi! You can refer to [this doc](https://huggingface.co/docs/datasets/filesystems#load-and-save-your-datasets-using-your-cloud-storage-filesystem) to see the intended usage (basically, it skips the Arrow -> Parquet conversion step in `ds = load_dataset(...); ds.to_parquet(\"path/to/parquet\")`) and allows writing P... | 2023-05-18T14:09:03Z | 2023-05-31T13:23:55Z | 2023-05-31T13:23:55Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
I used a custom builder to ``download_and_prepare`` a dataset. The first (very minor) issue is that the doc seems to suggest ``download_and_prepare`` will return the dataset, while it does not ([builder.py](https://github.com/huggingface/datasets/blob/main/src/datasets/builder.py#L718-L738)).
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https://api.github.com/repos/huggingface/datasets/issues/4248 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4248/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4248/comments | https://api.github.com/repos/huggingface/datasets/issues/4248/events | https://github.com/huggingface/datasets/issues/4248 | 1,218,460,444 | I_kwDODunzps5IoDsc | 4,248 | conll2003 dataset loads original data. | {
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"Thanks for reporting @sue99.\r\n\r\nUnfortunately. I'm not able to reproduce your problem:\r\n```python\r\nIn [1]: import datasets\r\n ...: from datasets import load_dataset\r\n ...: dataset = load_dataset(\"conll2003\")\r\n\r\nIn [2]: dataset\r\nOut[2]: \r\nDatasetDict({\r\n train: Dataset({\r\n fea... | 2022-04-28T09:33:31Z | 2022-07-18T07:15:48Z | 2022-07-18T07:15:48Z | {
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} | ## Describe the bug
I load `conll2003` dataset to use refined data like [this](https://huggingface.co/datasets/conll2003/viewer/conll2003/train) preview, but it is original data that contains `'-DOCSTART- -X- -X- O'` text.
Is this a bug or should I use another dataset_name like `lhoestq/conll2003` ?
## Steps to... | {
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https://api.github.com/repos/huggingface/datasets/issues/5778 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5778/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5778/comments | https://api.github.com/repos/huggingface/datasets/issues/5778/events | https://github.com/huggingface/datasets/issues/5778 | 1,678,125,951 | I_kwDODunzps5kBit_ | 5,778 | Schrödinger's dataset_dict | {
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"Hi ! Passing `data_files=\"path/test.json\"` is equivalent to `data_files={\"train\": [\"path/test.json\"]}`, that's why you end up with a train split. If you don't pass `data_files=`, then split names are inferred from the data files names"
] | 2023-04-21T08:38:12Z | 2023-07-24T15:15:14Z | 2023-07-24T15:15:14Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
If you use load_dataset('json', data_files="path/test.json"), it will return DatasetDict({train:...}).
And if you use load_dataset("path"), it will return DatasetDict({test:...}).
Why can't the output behavior be unified?
### Steps to reproduce the bug
as description above.
### Expected b... | {
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https://api.github.com/repos/huggingface/datasets/issues/259 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/259/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/259/comments | https://api.github.com/repos/huggingface/datasets/issues/259/events | https://github.com/huggingface/datasets/issues/259 | 636,239,529 | MDU6SXNzdWU2MzYyMzk1Mjk= | 259 | documentation missing how to split a dataset | {
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"this seems to work for my specific problem:\r\n\r\n`self.train_ds, self.test_ds, self.val_ds = map(_prepare_ds, ('train', 'test[:25%]+test[50%:75%]', 'test[75%:]'))`",
"Currently you can indeed split a dataset using `ds_test = nlp.load_dataset('imdb, split='test[:5000]')` (works also with percentages).\r\n\r\nHo... | 2020-06-10T13:18:13Z | 2023-03-14T13:56:07Z | 2020-06-18T22:20:24Z | null | NONE | [] | null | null | {
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I know I can do something like this to access a split which is already in the original dataset :
`ds_test = nlp.load_dataset('imdb, split='test') `
But how can I split ds_test into a test and a validation set (without reading the data into m... | {
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https://api.github.com/repos/huggingface/datasets/issues/7868 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7868/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7868/comments | https://api.github.com/repos/huggingface/datasets/issues/7868/events | https://github.com/huggingface/datasets/issues/7868 | 3,632,429,308 | I_kwDODunzps7Ygnj8 | 7,868 | Data duplication with `split_dataset_by_node` and `interleaved_dataset` | {
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"Hi @ValMystletainn ,\nCan I be assigned this issue?",
"> split_dataset_by_node\n\nHello, I have some questions about your intended use: (1) It seems unnecessary to use interleaving for a single dataset. (2) For multiple datasets, it seems possible to interleave first and then split by node?",
"Hi ! I think int... | 2025-11-17T09:15:24Z | 2026-02-04T18:55:36Z | 2026-02-04T18:55:36Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
Data duplication in different rank, when process a iterabledataset with first `split_dataset_by_node` and then `interleaved_dataset`
### Steps to reproduce the bug
I have provide a minimum scripts
```python
import os
from datasets import interleave_datasets, load_dataset
from datasets.distribu... | {
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https://api.github.com/repos/huggingface/datasets/issues/849 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/849/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/849/comments | https://api.github.com/repos/huggingface/datasets/issues/849/events | https://github.com/huggingface/datasets/issues/849 | 742,263,333 | MDU6SXNzdWU3NDIyNjMzMzM= | 849 | Load amazon dataset | {
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"Thanks for reporting !\r\nWe plan to show information about the different configs of the datasets on the website, with the corresponding `load_dataset` calls.\r\n\r\nAlso I think the bullet points formatting has been fixed"
] | 2020-11-13T08:34:24Z | 2020-11-17T07:22:59Z | 2020-11-17T07:22:59Z | null | CONTRIBUTOR | [] | null | null | {
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I was going through amazon_us_reviews dataset and found that example API usage given on website is different from the API usage while loading dataset.
Eg. what API usage is on the [website](https://huggingface.co/datasets/amazon_us_reviews)
```
from datasets import load_dataset
dataset = load_dataset("amaz... | {
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https://api.github.com/repos/huggingface/datasets/issues/6537 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6537/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6537/comments | https://api.github.com/repos/huggingface/datasets/issues/6537/events | https://github.com/huggingface/datasets/issues/6537 | 2,057,132,173 | I_kwDODunzps56nViN | 6,537 | Adding support for netCDF (*.nc) files | {
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"Related to #3113 ",
"Conceptually, we can use xarray to load the netCDF file, then xarray -> pandas -> pyarrow.",
"I'd still need to verify that such a conversion would be lossless, especially for multi-dimensional data."
] | 2023-12-27T09:27:29Z | 2023-12-27T20:46:53Z | null | null | NONE | [] | null | null | {
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} | ### Feature request
netCDF (*.nc) is a file format for storing multidimensional scientific data, which is used by packages like `xarray` (labelled multi-dimensional arrays in Python). It would be nice to have native support for netCDF in `datasets`.
### Motivation
When uploading *.nc files onto Huggingface Hub throu... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/269 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/269/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/269/comments | https://api.github.com/repos/huggingface/datasets/issues/269/events | https://github.com/huggingface/datasets/issues/269 | 638,106,774 | MDU6SXNzdWU2MzgxMDY3NzQ= | 269 | Error in metric.compute: missing `original_instructions` argument | {
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} | I'm running into an error using metrics for computation in the latest master as well as version 0.2.1. Here is a minimal example:
```python
import nlp
rte_metric = nlp.load_metric('glue', name="rte")
rte_metric.compute(
[0, 0, 1, 1],
[0, 1, 0, 1],
)
```
```
181 # Read the predictio... | {
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https://api.github.com/repos/huggingface/datasets/issues/6190 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6190/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6190/comments | https://api.github.com/repos/huggingface/datasets/issues/6190/events | https://github.com/huggingface/datasets/issues/6190 | 1,871,582,175 | I_kwDODunzps5vjhPf | 6,190 | `Invalid user token` even when correct user token is passed! | {
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"This is because `download_config.use_auth_token` is deprecated - you should use `download_config.token` instead",
"Works! Thanks for the quick fix! <3"
] | 2023-08-29T12:37:03Z | 2023-08-29T13:01:10Z | 2023-08-29T13:01:09Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
I'm working on a dataset which comprises other datasets on the hub.
URL: https://huggingface.co/datasets/open-asr-leaderboard/datasets-test-only
Note: Some of the sub-datasets in this metadataset require explicit access.
All the other datasets work fine, except, `common_voice`.
### Steps t... | {
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https://api.github.com/repos/huggingface/datasets/issues/3034 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3034/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3034/comments | https://api.github.com/repos/huggingface/datasets/issues/3034/events | https://github.com/huggingface/datasets/issues/3034 | 1,016,759,202 | I_kwDODunzps48moOi | 3,034 | Errors loading dataset using fs = a gcsfs.GCSFileSystem | {
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} | ## Describe the bug
Cannot load dataset using a `gcsfs.GCSFileSystem`. I'm not sure if this should be a bug in `gcsfs` or here...
Basically what seems to be happening is that since datasets saves datasets as folders and folders aren't "real objects" in gcs, gcsfs raises a 404 error. There are workarounds if you... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6848 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6848/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6848/comments | https://api.github.com/repos/huggingface/datasets/issues/6848/events | https://github.com/huggingface/datasets/issues/6848 | 2,268,622,609 | I_kwDODunzps6HOG8R | 6,848 | Cant Downlaod Common Voice 17.0 hy-AM | {
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"Same issue here.",
"#self-assign",
"Hi @mheryerznkanyan ,\nI tested it on a Linux-5.14.0-284.86.1.el9_2.x86_64-x86_64-with-glibc2.34 machine using the same package versions you mentioned, and it works fine now.\nDoes it work on your machine as well?"
] | 2024-04-29T10:06:02Z | 2025-04-01T20:48:09Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
I want to download Common Voice 17.0 hy-AM but it returns an error.
```
The version_base parameter is not specified.
Please specify a compatability version level, or None.
Will assume defaults for version 1.1
@hydra.main(config_name='hfds_config', config_path=None)
/usr/local/lib/pyth... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/1604 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1604/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1604/comments | https://api.github.com/repos/huggingface/datasets/issues/1604/events | https://github.com/huggingface/datasets/issues/1604 | 770,862,112 | MDU6SXNzdWU3NzA4NjIxMTI= | 1,604 | Add tests for the download functions ? | {
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"We have some tests now for it under `tests/test_download_manager.py`."
] | 2020-12-18T12:49:25Z | 2022-10-05T13:04:24Z | 2022-10-05T13:04:24Z | null | CONTRIBUTOR | [] | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7757 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7757/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7757/comments | https://api.github.com/repos/huggingface/datasets/issues/7757/events | https://github.com/huggingface/datasets/issues/7757 | 3,389,535,011 | I_kwDODunzps7KCDMj | 7,757 | Add support for `.conll` file format in datasets | {
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"That would be cool ! feel free to ping me if I can help reviewing a PR",
"hey @namesarnav , are you still planning to PR this? happy to coordinate or take it on otherwise. looks like a clean\n packaged_modules/conll/ builder following the csv/json/text pattern.\n\n @lhoestq , thanks for the pre-review offer. i... | 2025-09-06T07:25:39Z | 2026-05-21T16:18:22Z | null | null | NONE | [] | null | null | {
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} | ### Feature request
I’d like to request native support in the Hugging Face datasets library for reading .conll files (CoNLL format). This format is widely used in NLP tasks, especially for Named Entity Recognition (NER), POS tagging, and other token classification problems.
Right now `.conll` datasets need to be manu... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6819 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6819/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6819/comments | https://api.github.com/repos/huggingface/datasets/issues/6819/events | https://github.com/huggingface/datasets/issues/6819 | 2,248,043,797 | I_kwDODunzps6F_m0V | 6,819 | Give more details in `DataFilesNotFoundError` when getting the config names | {
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} | ### Feature request
After https://huggingface.co/datasets/cis-lmu/Glot500/commit/39060e01272ff228cc0ce1d31ae53789cacae8c3, the dataset viewer gives the following error:
```
{
"error": "Cannot get the config names for the dataset.",
"cause_exception": "DataFilesNotFoundError",
"cause_message": "No (support... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/1963 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1963/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1963/comments | https://api.github.com/repos/huggingface/datasets/issues/1963/events | https://github.com/huggingface/datasets/issues/1963 | 818,289,967 | MDU6SXNzdWU4MTgyODk5Njc= | 1,963 | bug in SNLI dataset | {
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"Hi ! The labels -1 correspond to the examples without gold labels in the original snli dataset.\r\nFeel free to remove these examples if you don't need them by using\r\n```python\r\ndata = data.filter(lambda x: x[\"label\"] != -1)\r\n```"
] | 2021-02-28T19:36:20Z | 2022-10-05T13:13:46Z | 2022-10-05T13:13:46Z | null | NONE | [] | null | null | {
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} | Hi
There is label of -1 in train set of SNLI dataset, please find the code below:
```
import numpy as np
import datasets
data = datasets.load_dataset("snli")["train"]
labels = []
for d in data:
labels.append(d["label"])
print(np.unique(labels))
```
and results:
`[-1 0 1 2]`
version of datas... | {
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https://api.github.com/repos/huggingface/datasets/issues/6071 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6071/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6071/comments | https://api.github.com/repos/huggingface/datasets/issues/6071/events | https://github.com/huggingface/datasets/issues/6071 | 1,821,990,749 | I_kwDODunzps5smV9d | 6,071 | storage_options provided to load_dataset not fully piping through since datasets 2.14.0 | {
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"Hi ! Thanks for reporting, I opened a PR to fix this\r\n\r\nWhat filesystem are you using ?",
"Hi @lhoestq ! Thank you so much 🙌 \r\n\r\nIt's a bit of a custom setup, but in practice I am using a [pyarrow.fs.S3FileSystem](https://arrow.apache.org/docs/python/generated/pyarrow.fs.S3FileSystem.html) (wrapped in a... | 2023-07-26T09:37:20Z | 2023-07-27T12:42:58Z | 2023-07-27T12:42:58Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
Since the latest release of `datasets` (`2.14.0`), custom filesystem `storage_options` passed to `load_dataset()` do not seem to propagate through all the way - leading to problems if loading data files that need those options to be set.
I think this is because of the new `_prepare_path_and_sto... | {
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https://api.github.com/repos/huggingface/datasets/issues/4790 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4790/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4790/comments | https://api.github.com/repos/huggingface/datasets/issues/4790/events | https://github.com/huggingface/datasets/issues/4790 | 1,328,546,904 | I_kwDODunzps5PMARY | 4,790 | Issue with fine classes in trec dataset | {
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According to their paper, the TREC dataset contains 2 kinds of classes:
- 6 coarse classes: TREC-6
- 50 fine classes: TREC-50
However, our implementation only has 47 (instead of 50) fine classes. The reason for this is that we only considered the last segment of the label, which is repeated fo... | {
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https://api.github.com/repos/huggingface/datasets/issues/3854 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3854/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3854/comments | https://api.github.com/repos/huggingface/datasets/issues/3854/events | https://github.com/huggingface/datasets/issues/3854 | 1,162,434,199 | I_kwDODunzps5FSVaX | 3,854 | load only England English dataset from common voice english dataset | {
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"Hi @amanjaiswal777,\r\n\r\nFirst note that the dataset you are trying to load is deprecated: it was the Common Voice dataset release as of Dec 2020.\r\n\r\nCurrently, Common Voice dataset releases are directly hosted on the Hub, under the Mozilla Foundation organization: https://huggingface.co/mozilla-foundation\r... | 2022-03-08T09:40:52Z | 2024-03-23T12:40:58Z | 2022-03-09T08:13:33Z | {
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} | training_data = load_dataset("common_voice", "en",split='train[:250]+validation[:250]')
testing_data = load_dataset("common_voice", "en", split="test[:200]")
I'm trying to load only 8% of the English common voice data with accent == "England English." Can somebody assist me with this?
**Typical Voice Accent Prop... | {
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https://api.github.com/repos/huggingface/datasets/issues/4514 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4514/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4514/comments | https://api.github.com/repos/huggingface/datasets/issues/4514/events | https://github.com/huggingface/datasets/issues/4514 | 1,273,505,230 | I_kwDODunzps5L6CXO | 4,514 | Allow .JPEG as a file extension | {
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"Hi, thanks for reporting! I've opened a PR with the fix.",
"Wow, that was quick! Thank you very much 🙏 "
] | 2022-06-16T12:36:20Z | 2022-06-20T08:18:46Z | 2022-06-16T17:11:40Z | null | NONE | [] | null | null | {
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} | ## Describe the bug
When loading image data, HF datasets seems to recognize `.jpg` and `.jpeg` file extensions, but not e.g. .JPEG. As the naming convention .JPEG is used in important datasets such as imagenet, I would welcome if according extensions like .JPEG or .JPG would be allowed.
## Steps to reproduce the bu... | {
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https://api.github.com/repos/huggingface/datasets/issues/5695 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5695/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5695/comments | https://api.github.com/repos/huggingface/datasets/issues/5695/events | https://github.com/huggingface/datasets/issues/5695 | 1,650,974,156 | I_kwDODunzps5iZ93M | 5,695 | Loading big dataset raises pyarrow.lib.ArrowNotImplementedError | {
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"Hi ! It looks like an issue with PyArrow: https://issues.apache.org/jira/browse/ARROW-5030\r\n\r\nIt appears it can happen when you have parquet files with row groups larger than 2GB.\r\nI can see that your parquet files are around 10GB. It is usually advised to keep a value around the default value 500MB to avoid... | 2023-04-02T14:42:44Z | 2024-05-15T12:04:47Z | 2023-04-10T08:04:04Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
Calling `datasets.load_dataset` to load the (publicly available) dataset `theodor1289/wit` fails with `pyarrow.lib.ArrowNotImplementedError`.
### Steps to reproduce the bug
Steps to reproduce this behavior:
1. `!pip install datasets`
2. `!huggingface-cli login`
3. This step will throw the e... | {
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https://api.github.com/repos/huggingface/datasets/issues/4654 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4654/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4654/comments | https://api.github.com/repos/huggingface/datasets/issues/4654/events | https://github.com/huggingface/datasets/issues/4654 | 1,296,716,119 | I_kwDODunzps5NSlFX | 4,654 | Add Quora Question Triplets Dataset | {
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"uploaded dataset [here](https://huggingface.co/datasets/embedding-data/QQP_triplets)."
] | 2022-07-07T02:43:42Z | 2022-07-14T02:13:50Z | 2022-07-14T02:13:50Z | null | NONE | [] | null | null | {
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} | ## Adding a Dataset
- **Name:** *Quora Question Triplets*
- **Description:** *This dataset consists of over 400,000 lines of potential question duplicate pairs. Each line contains IDs for each question in the pair, the full text for each question, and a binary value that indicates whether the line truly contains a du... | {
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https://api.github.com/repos/huggingface/datasets/issues/7681 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7681/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7681/comments | https://api.github.com/repos/huggingface/datasets/issues/7681/events | https://github.com/huggingface/datasets/issues/7681 | 3,227,112,736 | I_kwDODunzps7AWdUg | 7,681 | Probabilistic High Memory Usage and Freeze on Python 3.10 | {
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} | ### Describe the bug
A probabilistic issue encountered when processing datasets containing PIL.Image columns using the huggingface/datasets library on Python 3.10. The process occasionally experiences a sudden and significant memory spike, reaching 100% utilization, leading to a complete freeze. During this freeze, th... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6529 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6529/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6529/comments | https://api.github.com/repos/huggingface/datasets/issues/6529/events | https://github.com/huggingface/datasets/issues/6529 | 2,054,209,449 | I_kwDODunzps56cL-p | 6,529 | Impossible to only download a test split | {
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"The only way right now is to load with streaming=True",
"This feature has been proposed for a long time. I'm looking forward to the implementation. On clusters `streaming=True` is not an option since we do not have Internet on compute nodes. See: https://github.com/huggingface/datasets/discussions/1896#discussio... | 2023-12-22T16:56:32Z | 2024-02-02T00:05:04Z | null | null | NONE | [] | null | null | {
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Then after diving [in the code](https://github.com/huggingface/datasets/blob/5ff3670c18ed34fa8ddfa70a9aa403ae6cc9ad54/src/datasets/load.py#L2558) I realized that `download_and_prepare` is executed b... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/744 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/744/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/744/comments | https://api.github.com/repos/huggingface/datasets/issues/744/events | https://github.com/huggingface/datasets/issues/744 | 724,918,448 | MDU6SXNzdWU3MjQ5MTg0NDg= | 744 | Dataset Explorer Doesn't Work for squad_es and squad_it | {
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"Oups wrong click.\r\nThis one is for you @srush"
] | 2020-10-19T19:34:12Z | 2020-10-26T16:36:17Z | 2020-10-26T16:36:17Z | null | NONE | [] | null | null | {
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https://huggingface.co/nlp/viewer/?dataset=squad_it
Both pages show "OSError: [Errno 28] No space left on device". | {
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https://api.github.com/repos/huggingface/datasets/issues/6489 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6489/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6489/comments | https://api.github.com/repos/huggingface/datasets/issues/6489/events | https://github.com/huggingface/datasets/issues/6489 | 2,036,743,777 | I_kwDODunzps55Zj5h | 6,489 | load_dataset imageflder for aws s3 path | {
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} | ### Feature request
I would like to load a dataset from S3 using the imagefolder option
something like
`dataset = datasets.load_dataset('imagefolder', data_dir='s3://.../lsun/train/bedroom', fs=S3FileSystem(), streaming=True) `
### Motivation
no need of data_files
### Your contribution
no experience... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7569 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7569/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7569/comments | https://api.github.com/repos/huggingface/datasets/issues/7569/events | https://github.com/huggingface/datasets/issues/7569 | 3,061,234,054 | I_kwDODunzps62drmG | 7,569 | Dataset creation is broken if nesting a dict inside a dict inside a list | {
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"Hi ! That's because Séquence is a type that comes from tensorflow datasets and inverts lists and focus when doing Séquence(dict).\n\nInstead you should use a list. In your case\n```python\nfeatures = Features({\n \"a\": [{\"b\": {\"c\": Value(\"string\")}}]\n})\n```",
"Hi,\n\nThanks for the swift reply! Could... | 2025-05-13T21:06:45Z | 2025-05-20T19:25:15Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
Hey,
I noticed that the creation of datasets with `Dataset.from_generator` is broken if dicts and lists are nested in a certain way and a schema is being passed. See below for details.
Best,
Tim
### Steps to reproduce the bug
Runing this code:
```python
from datasets import Dataset, Features,... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/3036 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3036/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3036/comments | https://api.github.com/repos/huggingface/datasets/issues/3036/events | https://github.com/huggingface/datasets/issues/3036 | 1,017,687,944 | I_kwDODunzps48qK-I | 3,036 | Protect master branch to force contributions via Pull Requests | {
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"It would be nice to protect the master from direct commits, but still having a way to merge our own PRs when no review is required (for example when updating a dataset_infos.json file, or minor bug fixes - things that happen quite often actually).\r\nDo you know if there's a way ?",
"you can if you're an admin o... | 2021-10-06T07:34:17Z | 2021-10-07T06:51:47Z | 2021-10-07T06:49:52Z | null | MEMBER | [] | null | null | {
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} | In order to have a clearer Git history in the master branch, I propose to protect it so that all contributions must be done through a Pull Request and no direct commits to master are allowed.
- The Pull Request allows to give context, discuss any potential issues and improve the quality of the contribution
- The Pull... | {
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https://api.github.com/repos/huggingface/datasets/issues/6565 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6565/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6565/comments | https://api.github.com/repos/huggingface/datasets/issues/6565/events | https://github.com/huggingface/datasets/issues/6565 | 2,068,939,670 | I_kwDODunzps57UYOW | 6,565 | `drop_last_batch=True` for IterableDataset map function is ignored with multiprocessing DataLoader | {
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"My current workaround this issue is to return `None` in the second element and then filter out samples which have `None` in them.\r\n\r\n```python\r\ndef merge_samples(batch):\r\n if len(batch['a']) == 1:\r\n batch['c'] = [batch['a'][0]]\r\n batch['d'] = [None]\r\n else:\r\n batch['c'] ... | 2024-01-07T02:46:50Z | 2025-03-08T09:46:05Z | 2024-01-11T16:10:31Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
Scenario:
- Interleaving two iterable datasets of unequal lengths (`all_exhausted`), followed by a batch mapping with batch size 2 to effectively merge the two datasets and get a sample from each dataset in a single batch, with `drop_last_batch=True` to skip the last batch in case it doesn't ha... | {
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https://api.github.com/repos/huggingface/datasets/issues/5822 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5822/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5822/comments | https://api.github.com/repos/huggingface/datasets/issues/5822/events | https://github.com/huggingface/datasets/issues/5822 | 1,696,627,308 | I_kwDODunzps5lIHps | 5,822 | Audio Dataset with_format torch problem | {
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"Hi ! Can you try with a more recent version of `datasets` ?",
"Ok, yes it worked with the most recent version. Thanks"
] | 2023-05-04T20:07:51Z | 2023-05-11T20:45:53Z | 2023-05-11T20:45:53Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
Common Voice v10 Delta (German) Dataset from here https://commonvoice.mozilla.org/de/datasets
```
audio_dataset = \
(Dataset
.from_dict({"audio": ('/tmp/cv-corpus-10.0-delta-2022-07-04/de/clips/' + df.path).to_list()})
.cast_column("audio", Audio(sampling_rate=16_000))
.with... | {
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https://api.github.com/repos/huggingface/datasets/issues/758 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/758/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/758/comments | https://api.github.com/repos/huggingface/datasets/issues/758/events | https://github.com/huggingface/datasets/issues/758 | 728,638,559 | MDU6SXNzdWU3Mjg2Mzg1NTk= | 758 | Process 0 very slow when using num_procs with map to tokenizer | {
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"Hi ! Thanks for reporting.\r\nIs the distribution of text length of your data evenly distributed across your dataset ? I mean, could it be because the examples in the first part of your dataset are slower to process ?\r\nAlso could how many CPUs can you use for multiprocessing ?\r\n```python\r\nimport multiprocess... | 2020-10-24T02:40:20Z | 2020-10-28T03:59:46Z | 2020-10-28T03:59:45Z | null | NONE | [] | null | null | {
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The code I am using is
```
dataset = load_dataset("text", data_files=[file_path], split='train')
dataset = dataset.map(lambda ex: tokenizer(ex["text"], add_speci... | {
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https://api.github.com/repos/huggingface/datasets/issues/5645 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5645/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5645/comments | https://api.github.com/repos/huggingface/datasets/issues/5645/events | https://github.com/huggingface/datasets/issues/5645 | 1,627,108,278 | I_kwDODunzps5g-7O2 | 5,645 | Datasets map and select(range()) is giving dill error | {
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"It looks like an error that we observed once in https://github.com/huggingface/datasets/pull/5166\r\n\r\nCan you try to update `datasets` ?\r\n\r\n```\r\npip install -U datasets\r\n```\r\n\r\nif it doesn't work, can you make sure you don't have packages installed that may modify `dill`'s behavior, such as `apache-... | 2023-03-16T10:01:28Z | 2023-03-17T04:24:51Z | 2023-03-17T04:24:51Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
I'm using Huggingface Datasets library to load the dataset in google colab
When I do,
> data = train_dataset.select(range(10))
or
> train_datasets = train_dataset.map(
> process_data_to_model_inputs,
> batched=True,
> batch_size=batch_size,
> remove_columns... | {
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https://api.github.com/repos/huggingface/datasets/issues/6133 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6133/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6133/comments | https://api.github.com/repos/huggingface/datasets/issues/6133/events | https://github.com/huggingface/datasets/issues/6133 | 1,844,511,519 | I_kwDODunzps5t8QMf | 6,133 | Dataset is slower after calling `to_iterable_dataset` | {
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"@lhoestq ",
"It's roughly the same code between the two so we can expected roughly the same speed, could you share a benchmark ?"
] | 2023-08-10T06:36:23Z | 2023-08-16T09:18:54Z | null | null | CONTRIBUTOR | [] | null | null | {
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} | ### Describe the bug
Can anyone explain why looping over a dataset becomes slower after calling `to_iterable_dataset` to convert to `IterableDataset`
### Steps to reproduce the bug
Any dataset after converting to `IterableDataset`
### Expected behavior
Maybe it should be faster on big dataset? I only test on small... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7567 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7567/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7567/comments | https://api.github.com/repos/huggingface/datasets/issues/7567/events | https://github.com/huggingface/datasets/issues/7567 | 3,058,308,538 | I_kwDODunzps62ShW6 | 7,567 | interleave_datasets seed with multiple workers | {
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"Hi ! It's already the case IIRC: the effective seed looks like `seed + worker_id`. Do you have a reproducible example ?",
"here is an example with shuffle\n\n```\nimport itertools\nimport datasets\nimport multiprocessing\nimport torch.utils.data\n\n\ndef gen(shard):\n worker_info = torch.utils.data.get_worker_i... | 2025-05-12T22:38:27Z | 2025-10-24T14:04:37Z | 2025-10-24T14:04:37Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
Using interleave_datasets with multiple dataloader workers and a seed set causes the same dataset sampling order across all workers.
Should the seed be modulated with the worker id?
### Steps to reproduce the bug
See above
### Expected behavior
See above
### Environment info
- `datasets` ve... | {
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https://api.github.com/repos/huggingface/datasets/issues/4152 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4152/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4152/comments | https://api.github.com/repos/huggingface/datasets/issues/4152/events | https://github.com/huggingface/datasets/issues/4152 | 1,202,034,115 | I_kwDODunzps5HpZXD | 4,152 | ArrayND error in pyarrow 5 | {
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"Where do we bump the required pyarrow version? Any inputs on how I fix this issue? ",
"We need to bump it in `setup.py` as well as update some CI job to use pyarrow 6 instead of 5 in `.circleci/config.yaml` and `.github/workflows/benchmarks.yaml`"
] | 2022-04-12T15:41:40Z | 2022-05-04T09:29:46Z | 2022-05-04T09:29:46Z | null | MEMBER | [] | null | null | {
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} | As found in https://github.com/huggingface/datasets/pull/3903, The ArrayND features fail on pyarrow 5:
```python
import pyarrow as pa
from datasets import Array2D
from datasets.table import cast_array_to_feature
arr = pa.array([[[0]]])
feature_type = Array2D(shape=(1, 1), dtype="int64")
cast_array_to_feature(a... | {
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https://api.github.com/repos/huggingface/datasets/issues/2591 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2591/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2591/comments | https://api.github.com/repos/huggingface/datasets/issues/2591/events | https://github.com/huggingface/datasets/issues/2591 | 936,957,975 | MDU6SXNzdWU5MzY5NTc5NzU= | 2,591 | Cached dataset overflowing disk space | {
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"Hi! I'm transferring this issue over to `datasets`",
"I'm using the datasets concatenate dataset to combine the datasets and then train.\r\ntrain_dataset = concatenate_datasets([dataset1, dataset2, common_voice_train])\r\n\r\n",
"Hi @BirgerMoell.\r\n\r\nYou have several options:\r\n- to set caching to be store... | 2021-07-05T10:43:19Z | 2021-07-19T09:08:19Z | 2021-07-19T09:08:19Z | null | CONTRIBUTOR | [] | null | null | {
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} | I'm training a Swedish Wav2vec2 model on a Linux GPU and having issues that the huggingface cached dataset folder is completely filling up my disk space (I'm training on a dataset of around 500 gb).
The cache folder is 500gb (and now my disk space is full).
Is there a way to toggle caching or set the caching to b... | {
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https://api.github.com/repos/huggingface/datasets/issues/2993 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2993/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2993/comments | https://api.github.com/repos/huggingface/datasets/issues/2993/events | https://github.com/huggingface/datasets/issues/2993 | 1,012,702,665 | I_kwDODunzps48XJ3J | 2,993 | Can't download `trivia_qa/unfiltered` | {
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"wooo that was fast! thank you @lhoestq !\r\nit is able to process now, though it's ignoring all files and ending up with 0 examples now haha :/\r\n\r\nFor subset \"unfiltered\":\r\n```python\r\n>>> load_dataset(\"trivia_qa\", \"unfiltered\")\r\nDownloading and preparing dataset trivia_qa/unfiltered (download: 3.07... | 2021-09-30T23:00:18Z | 2021-10-01T19:07:23Z | 2021-10-01T19:07:22Z | {
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} | ## Describe the bug
For some reason, I can't download `trivia_qa/unfilted`. A file seems to be missing... I am able to see it fine though the viewer tough...
## Steps to reproduce the bug
```python
>>> from datasets import load_dataset
>>> load_dataset("trivia_qa", "unfiltered")
Downloading and preparing data... | {
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https://api.github.com/repos/huggingface/datasets/issues/6132 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6132/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6132/comments | https://api.github.com/repos/huggingface/datasets/issues/6132/events | https://github.com/huggingface/datasets/issues/6132 | 1,843,491,020 | I_kwDODunzps5t4XDM | 6,132 | to_iterable_dataset is missing in document | {
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"Fixed with PR"
] | 2023-08-09T15:15:03Z | 2023-08-16T04:43:36Z | 2023-08-16T04:43:29Z | null | CONTRIBUTOR | [] | null | null | {
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} | ### Describe the bug
to_iterable_dataset is missing in document
### Steps to reproduce the bug
to_iterable_dataset is missing in document
### Expected behavior
document enhancement
### Environment info
unrelated | {
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https://api.github.com/repos/huggingface/datasets/issues/7901 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7901/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7901/comments | https://api.github.com/repos/huggingface/datasets/issues/7901/events | https://github.com/huggingface/datasets/issues/7901 | 3,722,243,543 | I_kwDODunzps7d3O3X | 7,901 | ShuffledDataSourcesArrowExamplesIterable cannot properly resume from checkpoint | {
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"Hi ! As you can read in the logs, the shuffle buffer content is lost when resuming a shuffled dataset. The default size is 1000 examples, but you can tweak it\n\ne.g. if you run your code with this\n\n```diff\n- ds = Dataset.from_dict({\"a\": range(12)}).to_iterable_dataset(num_shards=1)\n- ds = ds.shuffle(seed=42... | 2025-12-12T06:57:32Z | 2025-12-16T19:34:46Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
ShuffledDataSourcesArrowExamplesIterable cannot properly resume from checkpoint
### Steps to reproduce the bug
1. The reproducible code is as follows：
```
from datasets import Dataset, concatenate_datasets, interleave_datasets
ds = Dataset.from_dict({"a": range(12)}).to_iterable_dataset(num_sha... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6670 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6670/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6670/comments | https://api.github.com/repos/huggingface/datasets/issues/6670/events | https://github.com/huggingface/datasets/issues/6670 | 2,138,372,958 | I_kwDODunzps5_dPte | 6,670 | ValueError | {
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"Hi @prashanth19bolukonda,\r\n\r\nYou have to restart the notebook runtime session after the installation of `datasets`.\r\n\r\nDuplicate of:\r\n- #5923",
"Thank you soo much\r\n\r\nOn Fri, Feb 16, 2024 at 8:14 PM Albert Villanova del Moral <\r\n***@***.***> wrote:\r\n\r\n> Closed #6670 <https://github.com/huggin... | 2024-02-16T11:05:17Z | 2024-02-17T04:26:34Z | 2024-02-16T14:43:53Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
ValueError Traceback (most recent call last)
[<ipython-input-11-9b99bc80ec23>](https://localhost:8080/#) in <cell line: 11>()
9 import numpy as np
10 import matplotlib.pyplot as plt
---> 11 from datasets import DatasetDict, Dataset
12 from transf... | {
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https://api.github.com/repos/huggingface/datasets/issues/1777 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1777/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1777/comments | https://api.github.com/repos/huggingface/datasets/issues/1777/events | https://github.com/huggingface/datasets/issues/1777 | 793,273,770 | MDU6SXNzdWU3OTMyNzM3NzA= | 1,777 | GPT2 MNLI training using run_glue.py | {
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} | Edit: I'm closing this because I actually meant to post this in `transformers `not `datasets`
Running this on Google Colab,
```
!python run_glue.py \
--model_name_or_path gpt2 \
--task_name mnli \
--do_train \
--do_eval \
--max_seq_length 128 \
--per_gpu_train_batch_size 10 \
--gradient_accu... | {
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https://api.github.com/repos/huggingface/datasets/issues/4417 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4417/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4417/comments | https://api.github.com/repos/huggingface/datasets/issues/4417/events | https://github.com/huggingface/datasets/issues/4417 | 1,251,933,091 | I_kwDODunzps5Knvuj | 4,417 | how to convert a dict generator into a huggingface dataset. | {
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"@albertvillanova @lhoestq , could you please help me on this issue. ",
"Hi ! As mentioned on the [forum](https://discuss.huggingface.co/t/how-to-wrap-a-generator-with-hf-dataset/18464), the simplest for now would be to define a [dataset script](https://huggingface.co/docs/datasets/dataset_script) which can conta... | 2022-05-29T16:28:27Z | 2022-09-16T14:44:19Z | 2022-09-16T14:44:19Z | {
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} | ### Link
_No response_
### Description
Hey there, I have used seqio to get a well distributed mixture of samples from multiple dataset. However the resultant output from seqio is a python generator dict, which I cannot produce back into huggingface dataset.
The generator contains all the samples needed for ... | {
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https://api.github.com/repos/huggingface/datasets/issues/826 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/826/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/826/comments | https://api.github.com/repos/huggingface/datasets/issues/826/events | https://github.com/huggingface/datasets/issues/826 | 739,976,716 | MDU6SXNzdWU3Mzk5NzY3MTY= | 826 | [GEM] Add E2E dataset | {
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} | ## Adding a Dataset
- **Name:** E2E NLG dataset (for End-to-end natural language generation)
- **Description:**a dataset for training end-to-end, datadriven natural language generation systems in the restaurant domain, the datasets consists of 5,751 dialogue-act Meaning Representations (structured data) and 8.1 refer... | {
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https://api.github.com/repos/huggingface/datasets/issues/2937 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2937/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2937/comments | https://api.github.com/repos/huggingface/datasets/issues/2937/events | https://github.com/huggingface/datasets/issues/2937 | 999,548,277 | I_kwDODunzps47k-V1 | 2,937 | load_dataset using default cache on Windows causes PermissionError: [WinError 5] Access is denied | {
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"Hi @daqieq, thanks for reporting.\r\n\r\nUnfortunately, I was not able to reproduce this bug:\r\n```ipython\r\nIn [1]: from datasets import load_dataset\r\n ...: ds = load_dataset('wiki_bio')\r\nDownloading: 7.58kB [00:00, 26.3kB/s]\r\nDownloading: 2.71kB [00:00, ?B/s]\r\nUsing custom data configuration default\... | 2021-09-17T16:52:10Z | 2022-08-24T13:09:08Z | 2022-08-24T13:09:08Z | null | NONE | [] | null | null | {
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} | ## Describe the bug
Standard process to download and load the wiki_bio dataset causes PermissionError in Windows 10 and 11.
## Steps to reproduce the bug
```python
from datasets import load_dataset
ds = load_dataset('wiki_bio')
```
## Expected results
It is expected that the dataset downloads without any er... | {
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https://api.github.com/repos/huggingface/datasets/issues/5152 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5152/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5152/comments | https://api.github.com/repos/huggingface/datasets/issues/5152/events | https://github.com/huggingface/datasets/issues/5152 | 1,420,808,919 | I_kwDODunzps5Ur9LX | 5,152 | refactor FolderBasedBuilder and Image/AudioFolder tests | {
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https://api.github.com/repos/huggingface/datasets/issues/927 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/927/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/927/comments | https://api.github.com/repos/huggingface/datasets/issues/927/events | https://github.com/huggingface/datasets/issues/927 | 753,679,020 | MDU6SXNzdWU3NTM2NzkwMjA= | 927 | Hello | {
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https://api.github.com/repos/huggingface/datasets/issues/6854 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6854/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6854/comments | https://api.github.com/repos/huggingface/datasets/issues/6854/events | https://github.com/huggingface/datasets/issues/6854 | 2,274,767,686 | I_kwDODunzps6HljNG | 6,854 | Wrong example of usage when config name is missing for community script-datasets | {
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} | As reported by @Wauplin, when loading a community dataset with script, there is a bug in the example of usage of the error message if the dataset has multiple configs (and no default config) and the user does not pass any config. For example:
```python
>>> ds = load_dataset("google/fleurs")
ValueError: Config name i... | {
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https://api.github.com/repos/huggingface/datasets/issues/5690 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5690/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5690/comments | https://api.github.com/repos/huggingface/datasets/issues/5690/events | https://github.com/huggingface/datasets/issues/5690 | 1,649,289,883 | I_kwDODunzps5iTiqb | 5,690 | raise AttributeError(f"No {package_name} attribute {name}") AttributeError: No huggingface_hub attribute hf_api | {
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"Hi @wccccp, thanks for reporting. \r\nThat's weird since `huggingface_hub` _has_ a module called `hf_api` and you are using a recent version of it. \r\n\r\nWhich version of `datasets` are you using? And is it a bug that you experienced only recently? (cc @lhoestq can it be somehow related to the recent release of ... | 2023-03-31T08:22:22Z | 2023-07-21T14:21:57Z | 2023-07-21T14:21:57Z | null | NONE | [] | null | null | {
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rta.sh
Traceback (most recent call last):
File "run.py", line 7, in <module>
import datasets
File "/home/appuser/miniconda3/envs/pt2/lib/python3.8/site-packages/datasets/__init__.py", line 37, in <module>
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https://api.github.com/repos/huggingface/datasets/issues/445 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/445/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/445/comments | https://api.github.com/repos/huggingface/datasets/issues/445/events | https://github.com/huggingface/datasets/issues/445 | 666,836,658 | MDU6SXNzdWU2NjY4MzY2NTg= | 445 | DEFAULT_TOKENIZER import error in sacrebleu | {
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"This issue was resolved by #447 "
] | 2020-07-28T07:31:30Z | 2020-07-28T12:58:56Z | 2020-07-28T12:58:56Z | null | CONTRIBUTOR | [] | null | null | {
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When loading the metric "sacrebleu" there is an import error due to the wrong path
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https://api.github.com/repos/huggingface/datasets/issues/824 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/824/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/824/comments | https://api.github.com/repos/huggingface/datasets/issues/824/events | https://github.com/huggingface/datasets/issues/824 | 739,896,526 | MDU6SXNzdWU3Mzk4OTY1MjY= | 824 | Discussion using datasets in offline mode | {
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"No comments ?",
"I think it would be very cool. I'm currently working on a cluster from Compute Canada, and I have internet access only when I'm not in the nodes where I run the scripts. So I was expecting to be able to use the wmt14 dataset until I realized I needed internet connection even if I downloaded the ... | 2020-11-10T13:10:51Z | 2023-10-26T09:26:26Z | 2022-02-15T10:32:36Z | null | NONE | [] | null | null | {
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} | `datasets.load_dataset("csv", ...)` breaks if you have no connection (There is already this issue https://github.com/huggingface/datasets/issues/761 about it). It seems to be the same for metrics too.
I create this ticket to discuss a bit and gather what you have in mind or other propositions.
Here are some point... | {
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https://api.github.com/repos/huggingface/datasets/issues/4906 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4906/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4906/comments | https://api.github.com/repos/huggingface/datasets/issues/4906/events | https://github.com/huggingface/datasets/issues/4906 | 1,353,223,925 | I_kwDODunzps5QqI71 | 4,906 | Can't import datasets AttributeError: partially initialized module 'datasets' has no attribute 'utils' (most likely due to a circular import) | {
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"Thanks for reporting, @OPterminator.\r\n\r\nHowever, we are not able to reproduce this issue.\r\n\r\nThere might be 2 reasons why you get this exception:\r\n- Either the name of your local Python file: if it is called `datasets.py` this could generate a circular import when trying to import the Hugging Face `data... | 2022-08-28T02:23:24Z | 2024-11-16T08:59:17Z | 2022-10-03T12:22:50Z | null | NONE | [] | null | null | {
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} | ## Describe the bug
A clear and concise description of what the bug is.
Not able to import datasets
## Steps to reproduce the bug
```python
# Sample code to reproduce the bug
import os
os.environ["WANDB_API_KEY"] = "0" ## to silence warning
import numpy as np
import random
import sklearn
import matplotlib.p... | {
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https://api.github.com/repos/huggingface/datasets/issues/245 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/245/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/245/comments | https://api.github.com/repos/huggingface/datasets/issues/245/events | https://github.com/huggingface/datasets/issues/245 | 631,985,108 | MDU6SXNzdWU2MzE5ODUxMDg= | 245 | SST-2 test labels are all -1 | {
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"this also happened to me with `nlp.load_dataset('glue', 'mnli')`",
"Yes, this is because the test sets for glue are hidden so the labels are\nnot publicly available. You can read the glue paper for more details.\n\nOn Sat, 6 Jun 2020 at 18:16, Jack Morris <notifications@github.com> wrote:\n\n> this also happened... | 2020-06-05T21:41:42Z | 2021-12-08T00:47:32Z | 2020-06-06T16:56:41Z | null | CONTRIBUTOR | [] | null | null | {
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} | I'm trying to test a model on the SST-2 task, but all the labels I see in the test set are -1.
```
>>> import nlp
>>> glue = nlp.load_dataset('glue', 'sst2')
>>> glue
{'train': Dataset(schema: {'sentence': 'string', 'label': 'int64', 'idx': 'int32'}, num_rows: 67349), 'validation': Dataset(schema: {'sentence': 'st... | {
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https://api.github.com/repos/huggingface/datasets/issues/4383 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4383/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4383/comments | https://api.github.com/repos/huggingface/datasets/issues/4383/events | https://github.com/huggingface/datasets/issues/4383 | 1,243,856,981 | I_kwDODunzps5KI8BV | 4,383 | L | {
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L
## Expected L
A clear and concise lmll
Specify the actual results or traceback.
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version:
- Platform:
- Python version:
- PyArrow version: | {
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https://api.github.com/repos/huggingface/datasets/issues/4504 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4504/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4504/comments | https://api.github.com/repos/huggingface/datasets/issues/4504/events | https://github.com/huggingface/datasets/issues/4504 | 1,272,418,480 | I_kwDODunzps5L15Cw | 4,504 | Can you please add the Stanford dog dataset? | {
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"would you like to give it a try, @dgrnd4? (maybe with the help of the dataset author?)",
"@julien-c i am sorry but I have no idea about how it works: can I add the dataset by myself, following \"instructions to add a new dataset\"?\r\nCan I add a dataset even if it's not mine? (it's public in the link that I wro... | 2022-06-15T15:39:35Z | 2024-12-09T15:44:11Z | 2023-10-18T18:55:30Z | {
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} | ## Adding a Dataset
- **Name:** *Stanford dog dataset*
- **Description:** *The dataset is about 120 classes for a total of 20.580 images. You can find the dataset here http://vision.stanford.edu/aditya86/ImageNetDogs/*
- **Paper:** *http://vision.stanford.edu/aditya86/ImageNetDogs/*
- **Data:** *[link to the Github... | {
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https://api.github.com/repos/huggingface/datasets/issues/2262 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2262/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2262/comments | https://api.github.com/repos/huggingface/datasets/issues/2262/events | https://github.com/huggingface/datasets/issues/2262 | 867,325,351 | MDU6SXNzdWU4NjczMjUzNTE= | 2,262 | NewsPH NLI dataset script fails to access test data. | {
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"Thanks @bhavitvyamalik for the fix !\r\nThe fix will be available in the next release.\r\nIt's already available on the `master` branch. For now you can either install `datasets` from source or use `script_version=\"master\"` in `load_dataset` to use the fixed version of this dataset."
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According to the script below, the download manager will download the train data when trying to download the test data.
https://github.com/huggingface/datasets/blob/2a2dd6316af2cc7fdf24e4779312e8ee0c7ed98b/datasets/newsph_nli/newsph_nli.py#L71
If yo... | {
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https://api.github.com/repos/huggingface/datasets/issues/1872 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1872/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1872/comments | https://api.github.com/repos/huggingface/datasets/issues/1872/events | https://github.com/huggingface/datasets/issues/1872 | 807,711,935 | MDU6SXNzdWU4MDc3MTE5MzU= | 1,872 | Adding a new column to the dataset after set_format was called | {
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"Hi ! Indeed if you add a column to a formatted dataset, then the new dataset gets a new formatting in which:\r\n```\r\nnew formatted columns = (all columns - previously unformatted columns)\r\n```\r\nTherefore the new column is going to be formatted using the `torch` formatting.\r\n\r\nIf you want your new column ... | 2021-02-13T09:14:35Z | 2021-03-30T14:01:45Z | 2021-03-30T14:01:45Z | null | NONE | [] | null | null | {
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} | Hi,
thanks for the nice library. I'm in the process of creating a custom dataset, which has a mix of tensors and lists of strings. I stumbled upon an error and want to know if its a problem on my side.
I load some lists of strings and integers, then call `data.set_format("torch", columns=["some_integer_column1"... | {
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https://api.github.com/repos/huggingface/datasets/issues/4398 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4398/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4398/comments | https://api.github.com/repos/huggingface/datasets/issues/4398/events | https://github.com/huggingface/datasets/issues/4398 | 1,246,666,749 | I_kwDODunzps5KTp_9 | 4,398 | Calling `cast_column`/`remove_columns` and a sequence of `map` operations ends up making `faiss` fail with `ValueError` | {
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"It works if we either remove the `ds = ds.cast_column(\"id\", Value(\"int32\"))` line from the code above, or if instead calling `ds.remove_columns()` we remove the columns inside each mapping as `ds.map(..., remove_columns=[...])` instead of right after the mapping.\r\n\r\nBoth of those solutions seem to fix the ... | 2022-05-24T14:41:34Z | 2022-06-14T16:01:56Z | 2022-06-14T16:01:56Z | null | MEMBER | [] | null | null | {
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} | First of all, sorry in advance for the unclear title, but this bug is weird to explain (at least for me), so I tried my best to summarize all the information in this issue.
## Describe the bug
Calling a certain combination of operations over a 🤗 `Dataset` and then trying to calculate the `faiss` index with `.add... | {
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https://api.github.com/repos/huggingface/datasets/issues/6592 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6592/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6592/comments | https://api.github.com/repos/huggingface/datasets/issues/6592/events | https://github.com/huggingface/datasets/issues/6592 | 2,082,410,257 | I_kwDODunzps58Hw8R | 6,592 | Logs are delayed when doing .map when `docker logs` | {
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"Hi! `tqdm` doesn't work well in non-interactive environments, so there isn't much we can do about this. It's best to [disable it](https://huggingface.co/docs/datasets/v2.16.1/en/package_reference/utilities#datasets.disable_progress_bars) in such environments and instead use logging to track progress."
] | 2024-01-15T17:05:21Z | 2024-02-12T17:35:21Z | 2024-02-12T17:35:21Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
When I run my SD training in a Docker image and then listen to logs like `docker logs train -f`, the progress bar is delayed.
It's updating every few percent.
When you have a large dataset that has to be mapped (like 1+ million samples), it's crucial to see the updates in real-time, not every co... | {
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https://api.github.com/repos/huggingface/datasets/issues/6280 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6280/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6280/comments | https://api.github.com/repos/huggingface/datasets/issues/6280/events | https://github.com/huggingface/datasets/issues/6280 | 1,928,215,278 | I_kwDODunzps5y7jru | 6,280 | Couldn't cast array of type fixed_size_list to Sequence(Value(float64)) | {
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"Thanks for reporting! I've opened a PR with a fix.",
"Thanks for the quick response @mariosasko! I just installed your branch via `poetry add 'git+https://github.com/huggingface/datasets#fix-array_values'` and I can confirm it works on the example provided.\r\n\r\nFollow up question for you, should `None`s be s... | 2023-10-05T12:48:31Z | 2024-02-06T19:24:20Z | 2024-02-06T19:24:20Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
I have a dataset with an embedding column, when I try to map that dataset I get the following exception:
```
Traceback (most recent call last):
File "/Users/jmif/.virtualenvs/llm-training/lib/python3.10/site-packages/datasets/arrow_dataset.py", line 3189, in map
for rank, done, content... | {
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https://api.github.com/repos/huggingface/datasets/issues/1775 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1775/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1775/comments | https://api.github.com/repos/huggingface/datasets/issues/1775/events | https://github.com/huggingface/datasets/issues/1775 | 792,742,120 | MDU6SXNzdWU3OTI3NDIxMjA= | 1,775 | Efficient ways to iterate the dataset | {
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"It seems that selecting a subset of colums directly from the dataset, i.e., dataset[\"column\"], is slow.",
"I was wrong, ```dataset[\"column\"]``` is fast."
] | 2021-01-24T07:54:31Z | 2021-01-24T09:50:39Z | 2021-01-24T09:50:39Z | null | CONTRIBUTOR | [] | null | null | {
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} | For a large dataset that does not fits the memory, how can I select only a subset of features from each example?
If I iterate over the dataset and then select the subset of features one by one, the resulted memory usage will be huge. Any ways to solve this?
Thanks | {
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https://api.github.com/repos/huggingface/datasets/issues/7699 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7699/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7699/comments | https://api.github.com/repos/huggingface/datasets/issues/7699/events | https://github.com/huggingface/datasets/issues/7699 | 3,261,053,171 | I_kwDODunzps7CX7jz | 7,699 | Broken link in documentation for "Create a video dataset" | {
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"The URL is ok but it seems the webdataset website is down. There seems to be a related issue here: https://github.com/webdataset/webdataset/issues/155\n\nFeel free to ask the authors there for an update. Otherwise happy to witch the link to the mirror shared in that issue",
"I fixed this doc problem.\nPR link: h... | 2025-07-24T19:46:28Z | 2026-03-26T18:28:43Z | null | null | NONE | [] | null | null | {
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} | The link to "the [WebDataset documentation](https://webdataset.github.io/webdataset)." is broken.
https://huggingface.co/docs/datasets/main/en/video_dataset#webdataset
<img width="2048" height="264" alt="Image" src="https://github.com/user-attachments/assets/975dd10c-aad8-42fc-9fbc-de0e2747a326" /> | null | {
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