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https://api.github.com/repos/huggingface/datasets/issues/5183 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5183/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5183/comments | https://api.github.com/repos/huggingface/datasets/issues/5183/events | https://github.com/huggingface/datasets/issues/5183 | 1,431,418,066 | I_kwDODunzps5VUbTS | 5,183 | Loading an external dataset in a format similar to conll2003 | {
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features = datasets.Features(
{"tokens": datasets.Sequence(datasets.Value("string")),
"ner_tags": datasets.Sequence(
datasets.featu... | {
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https://api.github.com/repos/huggingface/datasets/issues/1863 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1863/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1863/comments | https://api.github.com/repos/huggingface/datasets/issues/1863/events | https://github.com/huggingface/datasets/issues/1863 | 806,171,311 | MDU6SXNzdWU4MDYxNzEzMTE= | 1,863 | Add WikiCREM | {
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"Hi @NielsRogge I would like to work on this dataset.\r\n\r\nThanks!",
"Hi @udapy, are you working on this?"
] | 2021-02-11T08:16:00Z | 2021-03-07T07:27:13Z | null | null | CONTRIBUTOR | [] | null | null | {
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} | ## Adding a Dataset
- **Name:** WikiCREM
- **Description:** A large unsupervised corpus for coreference resolution.
- **Paper:** https://arxiv.org/abs/1905.06290
- **Github repo:**: https://github.com/vid-koci/bert-commonsense
- **Data:** https://ora.ox.ac.uk/objects/uuid:c83e94bb-7584-41a1-aef9-85b0e764d9e3
- **... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2056 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2056/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2056/comments | https://api.github.com/repos/huggingface/datasets/issues/2056/events | https://github.com/huggingface/datasets/issues/2056 | 831,718,397 | MDU6SXNzdWU4MzE3MTgzOTc= | 2,056 | issue with opus100/en-fr dataset | {
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"@lhoestq I also deleted the cache and redownload the file and still the same issue, I appreciate any help on this. thanks ",
"Here please find the minimal code to reproduce the issue @lhoestq note this only happens with MT5TokenizerFast\r\n\r\n```\r\nfrom datasets import load_dataset\r\nfrom transformers impor... | 2021-03-15T11:32:42Z | 2021-03-16T15:49:00Z | 2021-03-16T15:48:59Z | null | NONE | [] | null | null | {
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} | Hi
I am running run_mlm.py code of huggingface repo with opus100/fr-en pair, I am getting this error, note that this error occurs for only this pairs and not the other pairs. Any idea why this is occurring? and how I can solve this?
Thanks a lot @lhoestq for your help in advance.
`
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https://api.github.com/repos/huggingface/datasets/issues/5760 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5760/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5760/comments | https://api.github.com/repos/huggingface/datasets/issues/5760/events | https://github.com/huggingface/datasets/issues/5760 | 1,670,028,072 | I_kwDODunzps5jipso | 5,760 | Multi-image loading in Imagefolder dataset | {
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"Supporting this could be useful (I remember a use-case for this on the Hub). Do you agree @polinaeterna? \r\n\r\nImplementing this should be possible if we iterate over metadata files and build image/audio file paths instead of iterating over image/audio files and looking for the corresponding entries in metadata ... | 2023-04-16T16:01:05Z | 2024-12-01T11:16:09Z | null | {
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} | ### Feature request
Extend the `imagefolder` dataloading script to support loading multiple images per dataset entry.
This only really makes sense if a metadata file is present.
Currently you can use the following format (example `metadata.jsonl`:
```
{'file_name': 'path_to_image.png', 'metadata': ...}
...
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https://api.github.com/repos/huggingface/datasets/issues/6789 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6789/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6789/comments | https://api.github.com/repos/huggingface/datasets/issues/6789/events | https://github.com/huggingface/datasets/issues/6789 | 2,229,527,001 | I_kwDODunzps6E4-HZ | 6,789 | Issue with map | {
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"Default `writer_batch_size `is set to 1000 (see [map](https://huggingface.co/docs/datasets/v2.16.1/en/package_reference/main_classes#datasets.Dataset.map)).\r\nThe \"tmp1335llua\" is probably the temp file it creates while writing to disk.\r\nMaybe try lowering the `writer_batch_size`.\r\n\r\nFor multi-processing ... | 2024-04-07T02:52:06Z | 2024-07-23T12:41:38Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
Map has been taking extremely long to preprocess my data.
It seems to process 1000 examples (which it does really fast in about 10 seconds), then it hangs for a good 1-2 minutes, before it moves on to the next batch of 1000 examples.
It also keeps eating up my hard drive space for some reaso... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6217 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6217/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6217/comments | https://api.github.com/repos/huggingface/datasets/issues/6217/events | https://github.com/huggingface/datasets/issues/6217 | 1,883,614,607 | I_kwDODunzps5wRa2P | 6,217 | `Dataset.to_dict()` ignore `decode=True` with Image feature | {
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"We need to implement the `Image` type as a PyArrow extension type (to allow us to override the Python conversion) for this to work as expected. For now, it's best to use your approach indeed."
] | 2023-09-06T09:26:16Z | 2023-09-08T17:08:52Z | null | null | MEMBER | [] | null | null | {
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} | ### Describe the bug
`Dataset.to_dict` seems to ignore the decoding instruction passed in features.
### Steps to reproduce the bug
```python
import datasets
import numpy as np
from PIL import Image
img = np.random.randint(0, 256, (5, 5, 3), dtype=np.uint8)
img = Image.fromarray(img)
features = datasets.Fea... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/4802 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4802/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4802/comments | https://api.github.com/repos/huggingface/datasets/issues/4802/events | https://github.com/huggingface/datasets/issues/4802 | 1,331,676,691 | I_kwDODunzps5PX8YT | 4,802 | `with_format` behavior is inconsistent on different datasets | {
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"Hi! You can get a `torch.Tensor` if you do the following:\r\n```python\r\nraw = load_dataset(\"beans\", split=\"train\")\r\nraw = raw.select(range(100))\r\n\r\npreprocessor = AutoFeatureExtractor.from_pretrained(\"nateraw/vit-base-beans\")\r\n\r\nfrom datasets import Array3D\r\nfeatures = raw.features.copy()\r\nfe... | 2022-08-08T10:41:34Z | 2022-08-09T16:49:09Z | null | null | CONTRIBUTOR | [] | null | null | {
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} | ## Describe the bug
I found a case where `with_format` does not transform the dataset to the requested format.
## Steps to reproduce the bug
Run:
```python
from transformers import AutoTokenizer, AutoFeatureExtractor
from datasets import load_dataset
raw = load_dataset("glue", "sst2", split="train")
raw =... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/4284 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4284/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4284/comments | https://api.github.com/repos/huggingface/datasets/issues/4284/events | https://github.com/huggingface/datasets/issues/4284 | 1,226,200,727 | I_kwDODunzps5JFlaX | 4,284 | Issues in processing very large datasets | {
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"Hi ! `datasets` doesn't load the dataset in memory. Instead it uses memory mapping to load your dataset from your disk (it is stored as arrow files). Do you know at what point you have RAM issues exactly ?\r\n\r\nHow big are your graph_data_train dictionaries btw ?",
"Closing this issue due to inactivity."
] | 2022-05-05T05:01:09Z | 2023-07-25T15:12:38Z | 2023-07-25T15:12:38Z | null | NONE | [] | null | null | {
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I'm trying to add a feature called "subgraph" to CNN/DM dataset (modifications on run_summarization.py of Huggingface Transformers script) --- I'm not quite sure if I'm doing it the right way, though--- but the main problem appears when the training starts where the error ` [OSError: [Errno 12] Can... | {
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https://api.github.com/repos/huggingface/datasets/issues/7088 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7088/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7088/comments | https://api.github.com/repos/huggingface/datasets/issues/7088/events | https://github.com/huggingface/datasets/issues/7088 | 2,447,383,940 | I_kwDODunzps6R4B2E | 7,088 | Disable warning when using with_format format on tensors | {
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} | ### Feature request
If we write this code:
```python
"""Get data and define datasets."""
from enum import StrEnum
from datasets import load_dataset
from torch.utils.data import DataLoader
from torchvision import transforms
class Split(StrEnum):
"""Describes what type of split to use in the dataloa... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/319 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/319/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/319/comments | https://api.github.com/repos/huggingface/datasets/issues/319/events | https://github.com/huggingface/datasets/issues/319 | 646,792,487 | MDU6SXNzdWU2NDY3OTI0ODc= | 319 | Nested sequences with dicts | {
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"Oh yes, this is a backward compatibility feature with tensorflow_dataset in which a `Sequence` or `dict` is converted in a `dict` of `lists`, unfortunately it is not very intuitive, see here: https://github.com/huggingface/nlp/blob/master/src/nlp/features.py#L409\r\n\r\nTo avoid this behavior, you can just define ... | 2020-06-27T23:45:17Z | 2020-07-03T10:22:00Z | 2020-07-03T10:22:00Z | null | CONTRIBUTOR | [] | null | null | {
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} | Am pretty much finished [adding a dataset](https://github.com/ghomasHudson/nlp/blob/DocRED/datasets/docred/docred.py) for [DocRED](https://github.com/thunlp/DocRED), but am getting an error when trying to add a nested `nlp.features.sequence(nlp.features.sequence({key:value,...}))`.
The original data is in this form... | {
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https://api.github.com/repos/huggingface/datasets/issues/5661 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5661/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5661/comments | https://api.github.com/repos/huggingface/datasets/issues/5661/events | https://github.com/huggingface/datasets/issues/5661 | 1,637,129,445 | I_kwDODunzps5hlJzl | 5,661 | CI is broken: Unnecessary `dict` comprehension | {
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```
src/datasets/arrow_dataset.py:3267:35: C416 [*] Unnecessary `dict` comprehension (rewrite using `dict()`)
Found 1 error.
``` | {
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https://api.github.com/repos/huggingface/datasets/issues/7723 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7723/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7723/comments | https://api.github.com/repos/huggingface/datasets/issues/7723/events | https://github.com/huggingface/datasets/issues/7723 | 3,289,943,261 | I_kwDODunzps7EGIzd | 7,723 | Don't remove `trust_remote_code` arg!!! | {
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} | ### Feature request
defaulting it to False is nice balance. we need manully setting it to True in certain scenarios!
Add `trust_remote_code` arg back please!
### Motivation
defaulting it to False is nice balance. we need manully setting it to True in certain scenarios!
### Your contribution
defaulting it to Fals... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7536 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7536/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7536/comments | https://api.github.com/repos/huggingface/datasets/issues/7536/events | https://github.com/huggingface/datasets/issues/7536 | 3,018,425,549 | I_kwDODunzps6z6YTN | 7,536 | [Errno 13] Permission denied: on `.incomplete` file | {
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"It must be an issue with umask being used by multiple threads indeed. Maybe we can try to make a thread safe function to apply the umask (using filelock for example)",
"> It must be an issue with umask being used by multiple threads indeed. Maybe we can try to make a thread safe function to apply the umask (usin... | 2025-04-24T20:52:45Z | 2025-05-06T13:05:01Z | 2025-05-06T13:05:01Z | null | CONTRIBUTOR | [] | null | null | {
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} | ### Describe the bug
When downloading a dataset, we frequently hit the below Permission Denied error. This looks to happen (at least) across datasets in HF, S3, and GCS.
It looks like the `temp_file` being passed [here](https://github.com/huggingface/datasets/blob/main/src/datasets/utils/file_utils.py#L412) can somet... | {
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https://api.github.com/repos/huggingface/datasets/issues/6651 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6651/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6651/comments | https://api.github.com/repos/huggingface/datasets/issues/6651/events | https://github.com/huggingface/datasets/issues/6651 | 2,126,649,626 | I_kwDODunzps5-whka | 6,651 | Slice splits support for datasets.load_from_disk | {
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Support for slice splits in `datasets.load_from_disk`, similar to how it's already supported for `datasets.load_dataset`.
### Motivation
Slice splits are convienient in a numer of cases - adding support to `datasets.load_from_disk` would make working with local datasets easier and homogeniz... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/3214 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3214/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3214/comments | https://api.github.com/repos/huggingface/datasets/issues/3214/events | https://github.com/huggingface/datasets/issues/3214 | 1,044,924,050 | I_kwDODunzps4-SEaS | 3,214 | Add ACAV100M Dataset | {
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} | ## Adding a Dataset
- **Name:** *ACAV100M*
- **Description:** *contains 100 million videos with high audio-visual correspondence, ideal for self-supervised video representation learning.*
- **Paper:** *https://arxiv.org/abs/2101.10803*
- **Data:** *https://github.com/sangho-vision/acav100m*
- **Motivation:** *The ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/560 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/560/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/560/comments | https://api.github.com/repos/huggingface/datasets/issues/560/events | https://github.com/huggingface/datasets/issues/560 | 690,488,764 | MDU6SXNzdWU2OTA0ODg3NjQ= | 560 | Using custom DownloadConfig results in an error | {
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"From my limited understanding, part of the issue seems related to the `prepare_module` and `download_and_prepare` functions each handling the case where no config is passed. For example, `prepare_module` does mutate the object passed and forces the flags `extract_compressed_file` and `force_extract` to `True`.\r\... | 2020-09-01T22:23:02Z | 2022-10-04T17:23:45Z | 2022-10-04T17:23:45Z | null | NONE | [] | null | null | {
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} | ## Version / Environment
Ubuntu 18.04
Python 3.6.8
nlp 0.4.0
## Description
Loading `imdb` dataset works fine when when I don't specify any `download_config` argument. When I create a custom `DownloadConfig` object and pass it to the `nlp.load_dataset` function, this results in an error.
## How to reprodu... | {
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https://api.github.com/repos/huggingface/datasets/issues/3632 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3632/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3632/comments | https://api.github.com/repos/huggingface/datasets/issues/3632/events | https://github.com/huggingface/datasets/issues/3632 | 1,115,027,185 | I_kwDODunzps5Cdfbx | 3,632 | Adding CC-100: Monolingual Datasets from Web Crawl Data (Datasets links are invalid) | {
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"Hi @AnzorGozalishvili,\r\n\r\nMaybe their site was temporarily down, but it seems to work fine now.\r\n\r\nCould you please try again and confirm if the problem persists? ",
"Hi @albertvillanova \r\nI checked and it works. \r\nIt seems that it was really temporarily down.\r\nThanks!"
] | 2022-01-26T13:35:37Z | 2022-02-10T06:58:11Z | 2022-02-10T06:58:11Z | {
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} | ## Describe the bug
The dataset links are no longer valid for CC-100. It seems that the website which was keeping these files are no longer accessible and therefore this dataset became unusable.
Check out the dataset [homepage](http://data.statmt.org/cc-100/) which isn't accessible.
Also the URLs for dataset file ... | {
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https://api.github.com/repos/huggingface/datasets/issues/1977 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1977/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1977/comments | https://api.github.com/repos/huggingface/datasets/issues/1977/events | https://github.com/huggingface/datasets/issues/1977 | 820,312,022 | MDU6SXNzdWU4MjAzMTIwMjI= | 1,977 | ModuleNotFoundError: No module named 'apache_beam' for wikipedia datasets | {
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"I sometimes also get this error with other languages of the same dataset:\r\n\r\n File \"/dara/libs/anaconda3/envs/code/lib/python3.7/site-packages/datasets-1.3.0-py3.7.egg/datasets/arrow_reader.py\", line 322, in read_table\r\n stream = stream_from(filename)\r\n File \"pyarrow/io.pxi\", line 782, in pyarrow.... | 2021-03-02T19:21:28Z | 2021-03-03T10:17:40Z | null | null | NONE | [] | null | null | {
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I am trying to run run_mlm.py code [1] of huggingface with following "wikipedia"/ "20200501.aa" dataset:
`python run_mlm.py --model_name_or_path bert-base-multilingual-cased --dataset_name wikipedia --dataset_config_name 20200501.aa --do_train --do_eval --output_dir /tmp/test-mlm --max_seq_l... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2655 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2655/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2655/comments | https://api.github.com/repos/huggingface/datasets/issues/2655/events | https://github.com/huggingface/datasets/issues/2655 | 945,382,723 | MDU6SXNzdWU5NDUzODI3MjM= | 2,655 | Allow the selection of multiple columns at once | {
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"Hi! I was looking into this and hope you can clarify a point. Your my_dataset variable would be of type DatasetDict which means the alternative you've described (dict comprehension) is what makes sense. \r\nIs there a reason why you wouldn't want to convert my_dataset to a pandas df if you'd like to use it like on... | 2021-07-15T13:30:45Z | 2024-01-09T15:11:27Z | 2024-01-09T07:46:28Z | null | CONTRIBUTOR | [] | null | null | {
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} | **Is your feature request related to a problem? Please describe.**
Similar to pandas, it would be great if we could select multiple columns at once.
**Describe the solution you'd like**
```python
my_dataset = ... # Has columns ['idx', 'sentence', 'label']
idx, label = my_dataset[['idx', 'label']]
```
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https://api.github.com/repos/huggingface/datasets/issues/7867 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7867/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7867/comments | https://api.github.com/repos/huggingface/datasets/issues/7867/events | https://github.com/huggingface/datasets/issues/7867 | 3,620,931,722 | I_kwDODunzps7X0wiK | 7,867 | NonMatchingSplitsSizesError when loading partial dataset files | {
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"While using verification_mode='no_checks' parameter in load_dataset() can bypass this validation, this solution is not intuitive or convenient for most users, especially those who are not familiar with all the parameters of the load_dataset() function.\n\n```python\nbook_corpus_ds = load_dataset(\n \"SaylorTwif... | 2025-11-13T12:03:23Z | 2025-11-16T15:39:23Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
When loading only a subset of dataset files while the dataset's README.md contains split metadata, the system throws a NonMatchingSplitsSizesError . This prevents users from loading partial datasets for quick validation in cases of poor network conditions or very large datasets.
### Steps to repr... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5632 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5632/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5632/comments | https://api.github.com/repos/huggingface/datasets/issues/5632/events | https://github.com/huggingface/datasets/issues/5632 | 1,621,177,391 | I_kwDODunzps5goTQv | 5,632 | Dataset cannot convert too large dictionnary | {
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"Answered on the forum:\r\n\r\n> To fix the overflow error, we need to merge [support LargeListArray in pyarrow by xwwwwww · Pull Request #4800 · huggingface/datasets · GitHub](https://github.com/huggingface/datasets/pull/4800), which adds support for the large lists. However, before merging it, we need to come up ... | 2023-03-13T10:14:40Z | 2023-03-16T15:28:57Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
Hello everyone!
I tried to build a new dataset with the command "dict_valid = datasets.Dataset.from_dict({'input_values': values_array})".
However, I have a very large dataset (~400Go) and it seems that dataset cannot handle this.
Indeed, I can create the dataset until a certain size of m... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/4621 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4621/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4621/comments | https://api.github.com/repos/huggingface/datasets/issues/4621/events | https://github.com/huggingface/datasets/issues/4621 | 1,293,030,128 | I_kwDODunzps5NEhLw | 4,621 | ImageFolder raises an error with parameters drop_metadata=True and drop_labels=False when metadata.jsonl is present | {
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} | ## Describe the bug
If you pass `drop_metadata=True` and `drop_labels=False` when a `data_dir` contains at least one `matadata.jsonl` file, you will get a KeyError. This is probably not a very useful case but we shouldn't get an error anyway. Asking users to move metadata files manually outside `data_dir` or pass fe... | {
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https://api.github.com/repos/huggingface/datasets/issues/5914 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5914/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5914/comments | https://api.github.com/repos/huggingface/datasets/issues/5914/events | https://github.com/huggingface/datasets/issues/5914 | 1,731,483,996 | I_kwDODunzps5nNFlc | 5,914 | array is too big; `arr.size * arr.dtype.itemsize` is larger than the maximum possible size in Datasets | {
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"Was a fix for this identified?",
"> Was a fix for this identified?\r\n\r\nHi @pranav-sridhar \r\nHave you encountered a similar issue with this dataset?\r\nI’ve modified the dataset construction script to address the problem. Feel free to use this updated version to avoid the issue.\r\n\r\n[Ericwang/samromur_chi... | 2023-05-30T04:25:00Z | 2024-10-27T04:09:18Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
When using the `filter` or `map` function to preprocess a dataset, a ValueError is encountered with the error message "array is too big; arr.size * arr.dtype.itemsize is larger than the maximum possible size."
Detailed error message:
Traceback (most recent call last):
File "data_processing... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2498 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2498/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2498/comments | https://api.github.com/repos/huggingface/datasets/issues/2498/events | https://github.com/huggingface/datasets/issues/2498 | 920,411,285 | MDU6SXNzdWU5MjA0MTEyODU= | 2,498 | Improve torch formatting performance | {
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"That’s interesting thanks, let’s see what we can do. Can you detail your last sentence? I’m not sure I understand it well.",
"Hi ! I just re-ran a quick benchmark and using `to_numpy()` seems to be faster now:\r\n\r\n```python\r\nimport pyarrow as pa # I used pyarrow 3.0.0\r\nimport numpy as np\r\n\r\nn, max_le... | 2021-06-14T13:25:24Z | 2022-07-15T17:12:04Z | null | null | CONTRIBUTOR | [] | null | null | {
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} | **Is your feature request related to a problem? Please describe.**
It would be great, if possible, to further improve read performance of raw encoded datasets and their subsequent conversion to torch tensors.
A bit more background. I am working on LM pre-training using HF ecosystem. We use encoded HF Wikipedia an... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7772 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7772/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7772/comments | https://api.github.com/repos/huggingface/datasets/issues/7772/events | https://github.com/huggingface/datasets/issues/7772 | 3,417,353,751 | I_kwDODunzps7LsK4X | 7,772 | Error processing scalar columns using tensorflow. | {
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"Using tf.convert_to_tensor works fine:\n\n```\nimport tensorflow as tf\n\nstart_pos = tf.convert_to_tensor(train_ds['start_positions'], dtype=tf.int64)\nstart_pos = tf.reshape(start_pos, [-1, 1])\n```\n\n\nAlternatively, using the built-in to_tf_dataset also avoids the issue:\n\n```\ntrain_tf = train_ds.to_tf_data... | 2025-09-15T10:36:31Z | 2025-09-27T08:22:44Z | null | null | NONE | [] | null | null | {
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```
columns_to_return = ['input_ids','attention_mask', 'start_positions', 'end_positions']
train_ds.set_format(type='tf', columns=columns_to_return)
```
`train_ds`:
```
train_ds type: <class 'datasets.arrow_dataset.Dataset'>, shape: (1000, 9)
columns: ['question', 'sentences', 'answer', 'str_idx', 'en... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/4669 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4669/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4669/comments | https://api.github.com/repos/huggingface/datasets/issues/4669/events | https://github.com/huggingface/datasets/issues/4669 | 1,299,848,003 | I_kwDODunzps5NehtD | 4,669 | loading oscar-corpus/OSCAR-2201 raises an error | {
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"I had to use the appropriate token for use_auth_token. Thank you."
] | 2022-07-10T07:09:30Z | 2022-07-11T09:27:49Z | 2022-07-11T09:27:49Z | null | NONE | [] | null | null | {
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} | ## Describe the bug
load_dataset('oscar-2201', 'af')
raises an error:
Traceback (most recent call last):
File "/usr/lib/python3.8/code.py", line 90, in runcode
exec(code, self.locals)
File "<input>", line 1, in <module>
File "..python3.8/site-packages/datasets/load.py", line 1656, in load_dataset
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https://api.github.com/repos/huggingface/datasets/issues/7894 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7894/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7894/comments | https://api.github.com/repos/huggingface/datasets/issues/7894/events | https://github.com/huggingface/datasets/issues/7894 | 3,688,455,006 | I_kwDODunzps7b2Vte | 7,894 | embed_table_storage crashes (SIGKILL) on sharded datasets with Sequence() nested types | {
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"I wasn't able to reproduce the crash on my side (macos arm 54, pyarrow 22 and a nifti file I found [online](https://s3.amazonaws.com/openneuro.org/ds004884/sub-M2001/ses-1076/anat/sub-M2001_ses-1076_acq-tfl3_run-4_T1w.nii.gz?versionId=9aVGb3C.VcoBgxrhNzFnL6O0MvxQsXX7&AWSAccessKeyId=AKIARTA7OOV5WQ3DGSOB&Signature=L... | 2025-12-03T04:20:06Z | 2025-12-06T13:10:34Z | null | null | CONTRIBUTOR | [] | null | null | {
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} | ## Summary
`embed_table_storage` crashes with SIGKILL (exit code 137) when processing sharded datasets containing `Sequence()` nested types like `Sequence(Nifti())`. Likely affects `Sequence(Image())` and `Sequence(Audio())` as well.
The crash occurs at the C++ level with no Python traceback.
### Related Issues
- #... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6979 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6979/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6979/comments | https://api.github.com/repos/huggingface/datasets/issues/6979/events | https://github.com/huggingface/datasets/issues/6979 | 2,360,175,363 | I_kwDODunzps6MrWsD | 6,979 | How can I load partial parquet files only? | {
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"Hello,\r\n\r\nHave you tried loading the dataset in streaming mode? [Documentation](https://huggingface.co/docs/datasets/v2.20.0/stream)\r\n\r\nThis way you wouldn't have to load it all. Also, let's be nice to Parquet, it's a really nice technology and we don't need to be mean :)",
"I have downloaded part of it,... | 2024-06-18T15:44:16Z | 2024-06-21T17:09:32Z | 2024-06-21T13:32:50Z | null | NONE | [] | null | null | {
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} | I have a HUGE dataset about 14TB, I unable to download all parquet all. I just take about 100 from it.
dataset = load_dataset("xx/", data_files="data/train-001*-of-00314.parquet")
How can I just using 000 - 100 from a 00314 from all partially?
I search whole net didn't found a solution, **this is stupid if the... | {
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https://api.github.com/repos/huggingface/datasets/issues/7419 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7419/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7419/comments | https://api.github.com/repos/huggingface/datasets/issues/7419/events | https://github.com/huggingface/datasets/issues/7419 | 2,875,635,320 | I_kwDODunzps6rZrZ4 | 7,419 | Import order crashes script execution | {
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} | ### Describe the bug
Hello,
I'm trying to convert an HF dataset into a TFRecord so I'm importing `tensorflow` and `datasets` to do so.
Depending in what order I'm importing those librairies, my code hangs forever and is unkillable (CTRL+C doesn't work, I need to kill my shell entirely).
Thank you for your help
🙏
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5887 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5887/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5887/comments | https://api.github.com/repos/huggingface/datasets/issues/5887/events | https://github.com/huggingface/datasets/issues/5887 | 1,722,166,382 | I_kwDODunzps5mpixu | 5,887 | HuggingsFace dataset example give error | {
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"Nice catch @donhuvy, that's because some models don't need the `token_type_ids`, as in this case, as the example is using `distilbert-base-cased`, and according to the DistilBert documentation at https://huggingface.co/transformers/v3.0.2/model_doc/distilbert.html, `DistilBert doesn’t have token_type_ids, you don’... | 2023-05-23T14:09:05Z | 2023-07-25T14:01:01Z | 2023-07-25T14:01:00Z | {
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} | ### Describe the bug
### Steps to reproduce the bug
Use link as reference document written https://c... | {
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https://api.github.com/repos/huggingface/datasets/issues/4169 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4169/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4169/comments | https://api.github.com/repos/huggingface/datasets/issues/4169/events | https://github.com/huggingface/datasets/issues/4169 | 1,203,995,869 | I_kwDODunzps5Hw4Td | 4,169 | Timit_asr dataset cannot be previewed recently | {
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"Thanks for reporting. The bug has already been detected, and we hope to fix it soon.",
"TIMIT is now a dataset that requires manual download, see #4145 \r\n\r\nTherefore it might take a bit more time to fix it",
"> TIMIT is now a dataset that requires manual download, see #4145\r\n> \r\n> Therefore it might ta... | 2022-04-14T03:28:31Z | 2023-02-03T04:54:57Z | 2022-05-06T16:06:51Z | null | NONE | [] | null | null | {
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} | ## Dataset viewer issue for '*timit_asr*'
**Link:** *https://huggingface.co/datasets/timit_asr*
Issue: The timit-asr dataset cannot be previewed recently.
Am I the one who added this dataset ? Yes-No
No | {
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https://api.github.com/repos/huggingface/datasets/issues/1671 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1671/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1671/comments | https://api.github.com/repos/huggingface/datasets/issues/1671/events | https://github.com/huggingface/datasets/issues/1671 | 776,652,193 | MDU6SXNzdWU3NzY2NTIxOTM= | 1,671 | connection issue | {
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"Also, mayjor issue for me is the format issue, even if I go through changing the whole code to use load_from_disk, then if I do \r\n\r\nd = datasets.load_from_disk(\"imdb\")\r\nd = d[\"train\"][:10] => the format of this is no more in datasets format\r\nthis is different from you call load_datasets(\"train[10]\")\... | 2020-12-30T21:56:20Z | 2022-10-05T12:42:12Z | 2022-10-05T12:42:12Z | null | NONE | [] | null | null | {
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I am getting this connection issue, resulting in large failure on cloud, @lhoestq I appreciate your help on this.
If I want to keep the codes the same, so not using save_to_disk, load_from_disk, but save the datastes in the way load_dataset reads from and copy the files in the same folder the datasets library r... | {
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https://api.github.com/repos/huggingface/datasets/issues/7503 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7503/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7503/comments | https://api.github.com/repos/huggingface/datasets/issues/7503/events | https://github.com/huggingface/datasets/issues/7503 | 2,978,512,625 | I_kwDODunzps6xiH7x | 7,503 | Inconsistency between load_dataset and load_from_disk functionality | {
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"Hi ! you can find more info here: https://github.com/huggingface/datasets/issues/5044#issuecomment-1263714347\n\n> What's the recommended approach for this use case? Should I manually process my gsm8k-new dataset to make it compatible with load_dataset? Is there a standard way to convert between these formats?\n\n... | 2025-04-08T03:46:22Z | 2025-06-28T08:51:16Z | null | null | NONE | [] | null | null | {
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} | ## Issue Description
I've encountered confusion when using `load_dataset` and `load_from_disk` in the datasets library. Specifically, when working offline with the gsm8k dataset, I can load it using a local path:
```python
import datasets
ds = datasets.load_dataset('/root/xxx/datasets/gsm8k', 'main')
```
output:
```t... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2972 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2972/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2972/comments | https://api.github.com/repos/huggingface/datasets/issues/2972/events | https://github.com/huggingface/datasets/issues/2972 | 1,007,808,714 | I_kwDODunzps48EfDK | 2,972 | OSError: Not enough disk space. | {
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"Maybe we can change the disk space calculating API from `shutil.disk_usage` to `os.statvfs` in UNIX-like system, which can provide correct results.\r\n```\r\nstatvfs = os.statvfs('path')\r\navail_space_bytes = statvfs.f_frsize * statvfs.f_bavail\r\n```",
"Hi @qqaatw, thanks for reporting.\r\n\r\nCould you pleas... | 2021-09-27T07:41:22Z | 2024-12-04T02:56:19Z | 2021-09-28T06:43:15Z | {
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} | ## Describe the bug
I'm trying to download `natural_questions` dataset from the Internet, and I've specified the cache_dir which locates in a mounted disk and has enough disk space. However, even though the space is enough, the disk space checking function still reports the space of root `/` disk having no enough spac... | {
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https://api.github.com/repos/huggingface/datasets/issues/1669 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1669/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1669/comments | https://api.github.com/repos/huggingface/datasets/issues/1669/events | https://github.com/huggingface/datasets/issues/1669 | 776,608,386 | MDU6SXNzdWU3NzY2MDgzODY= | 1,669 | wiki_dpr dataset pre-processesing performance | {
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"Sorry, double posted."
] | 2020-12-30T19:41:09Z | 2020-12-30T19:42:25Z | 2020-12-30T19:42:25Z | null | NONE | [] | null | null | {
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} | I've been working with wiki_dpr and noticed that the dataset processing is seriously impaired in performance [1]. It takes about 12h to process the entire dataset. Most of this time is simply loading and processing the data, but the actual indexing is also quite slow (3h).
I won't repeat the concerns around multipro... | {
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https://api.github.com/repos/huggingface/datasets/issues/5499 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5499/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5499/comments | https://api.github.com/repos/huggingface/datasets/issues/5499/events | https://github.com/huggingface/datasets/issues/5499 | 1,568,937,026 | I_kwDODunzps5dhBRC | 5,499 | `load_dataset` has ~4 seconds of overhead for cached data | {
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"Hi ! To skip the verification step that checks if newer data exist, you can enable offline mode with `HF_DATASETS_OFFLINE=1`.\r\n\r\nAlthough I agree this step should be much faster for datasets hosted on the HF Hub - we could just compare the commit hash from the local data and the remote git repository. We're no... | 2023-02-02T23:34:50Z | 2023-02-07T19:35:11Z | null | null | NONE | [] | null | null | {
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} | ### Feature request
When loading a dataset that has been cached locally, the `load_dataset` function takes a lot longer than it should take to fetch the dataset from disk (or memory).
This is particularly noticeable for smaller datasets. For example, wikitext-2, comparing `load_data` (once cached) and `load_from_disk... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2888 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2888/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2888/comments | https://api.github.com/repos/huggingface/datasets/issues/2888/events | https://github.com/huggingface/datasets/issues/2888 | 992,676,535 | MDU6SXNzdWU5OTI2NzY1MzU= | 2,888 | v1.11.1 release date | {
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"Hi ! Probably 1.12 on monday :)\r\n",
"@albertvillanova i think this issue is still valid and should not be closed till `>1.11.0` is published :)"
] | 2021-09-09T21:53:15Z | 2021-09-12T20:18:35Z | 2021-09-12T16:15:39Z | null | NONE | [] | null | null | {
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When do you plan to publush v1.11.1 release? | {
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https://api.github.com/repos/huggingface/datasets/issues/2495 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2495/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2495/comments | https://api.github.com/repos/huggingface/datasets/issues/2495/events | https://github.com/huggingface/datasets/issues/2495 | 920,170,030 | MDU6SXNzdWU5MjAxNzAwMzA= | 2,495 | JAX formatting | {
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https://api.github.com/repos/huggingface/datasets/issues/1110 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1110/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1110/comments | https://api.github.com/repos/huggingface/datasets/issues/1110/events | https://github.com/huggingface/datasets/issues/1110 | 757,082,677 | MDU6SXNzdWU3NTcwODI2Nzc= | 1,110 | Using a feature named "_type" fails with certain operations | {
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"Thanks for reporting !\r\n\r\nIndeed this is a keyword in the library that is used to encode/decode features to a python dictionary that we can save/load to json.\r\nWe can probably change `_type` to something that is less likely to collide with user feature names.\r\nIn this case we would want something backward ... | 2020-12-04T12:56:33Z | 2022-01-14T18:07:00Z | 2022-01-14T18:07:00Z | null | CONTRIBUTOR | [] | null | null | {
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} | A column named `_type` leads to a `TypeError: unhashable type: 'dict'` for certain operations:
```python
from datasets import Dataset, concatenate_datasets
ds = Dataset.from_dict({"_type": ["whatever"]}).map()
concatenate_datasets([ds])
# or simply
Dataset(ds._data)
```
Context: We are using datasets to persi... | {
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https://api.github.com/repos/huggingface/datasets/issues/7619 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7619/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7619/comments | https://api.github.com/repos/huggingface/datasets/issues/7619/events | https://github.com/huggingface/datasets/issues/7619 | 3,153,058,517 | I_kwDODunzps6779rV | 7,619 | `from_list` fails while `from_generator` works for large datasets | {
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"@lhoestq any thoughts on this? ",
"Thanks for the report! This behavior is expected due to how `from_list()` and `from_generator()` differ internally.\n\n- `from_list()` builds the entire dataset in memory at once, which can easily exceed limits (especially with variable-length arrays or millions of rows). The A... | 2025-06-17T10:58:55Z | 2025-06-29T16:34:44Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
I am constructing a large time series dataset and observed that first constructing a list of entries and then using `Dataset.from_list` led to a crash as the number of items became large. However, this is not a problem when using `Dataset.from_generator`.
### Steps to reproduce the bug
#### Snip... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5811 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5811/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5811/comments | https://api.github.com/repos/huggingface/datasets/issues/5811/events | https://github.com/huggingface/datasets/issues/5811 | 1,689,919,046 | I_kwDODunzps5kuh5G | 5,811 | load_dataset: TypeError: 'NoneType' object is not callable, on local dataset filename changes | {
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"This error means a `DatasetBuilder` subclass that generates the dataset could not be found inside the script, so make sure `dushowxa-characters/dushowxa-characters.py `is a valid dataset script (assuming `path_or_dataset` is `dushowxa-characters`)\r\n\r\nAlso, we should improve the error to make it more obvious wh... | 2023-04-30T13:27:17Z | 2025-02-27T07:32:30Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
I've adapted Databrick's [train_dolly.py](/databrickslabs/dolly/blob/master/train_dolly.py) to train using a local dataset, which has been working. Upon changing the filenames of the `.json` & `.py` files in my local dataset directory, `dataset = load_dataset(path_or_dataset)["train"]` throws th... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/3618 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3618/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3618/comments | https://api.github.com/repos/huggingface/datasets/issues/3618/events | https://github.com/huggingface/datasets/issues/3618 | 1,112,123,365 | I_kwDODunzps5CSafl | 3,618 | TIMIT Dataset not working with GPU | {
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"Hi ! I think you should avoid calling `timit_train['audio']`. Indeed by doing so you're **loading all the audio column in memory**. This is problematic in your case because the TIMIT dataset is huge.\r\n\r\nIf you want to access the audio data of some samples, you should do this instead `timit_train[:10][\"train\"... | 2022-01-24T03:26:03Z | 2023-07-25T15:20:20Z | 2023-07-25T15:20:20Z | null | NONE | [] | null | null | {
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} | ## Describe the bug
I am working trying to use the TIMIT dataset in order to fine-tune Wav2Vec2 model and I am unable to load the "audio" column from the dataset when working with a GPU.
I am working on Amazon Sagemaker Studio, on the Python 3 (PyTorch 1.8 Python 3.6 GPU Optimized) environment, with a single ml.g4... | {
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https://api.github.com/repos/huggingface/datasets/issues/7758 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7758/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7758/comments | https://api.github.com/repos/huggingface/datasets/issues/7758/events | https://github.com/huggingface/datasets/issues/7758 | 3,395,590,783 | I_kwDODunzps7KZJp_ | 7,758 | Option for Anonymous Dataset link | {
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} | ### Feature request
Allow for anonymized viewing of datasets. For instance, something similar to [Anonymous GitHub](https://anonymous.4open.science/).
### Motivation
We generally publish our data through Hugging Face. This has worked out very well as it's both our repository and archive (thanks to the DOI feature!).... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2318 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2318/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2318/comments | https://api.github.com/repos/huggingface/datasets/issues/2318/events | https://github.com/huggingface/datasets/issues/2318 | 876,212,460 | MDU6SXNzdWU4NzYyMTI0NjA= | 2,318 | [api request] API to obtain "dataset_module" dynamic path? | {
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"Hi @richardliaw, \r\n\r\nFirst, thanks for the compliments.\r\n\r\nIn relation with your request, currently, the dynamic modules path is obtained this way:\r\n```python\r\nfrom datasets.load import init_dynamic_modules, MODULE_NAME_FOR_DYNAMIC_MODULES\r\n\r\ndynamic_modules_path = init_dynamic_modules(MODULE_NAME_... | 2021-05-05T08:40:48Z | 2021-05-06T08:45:45Z | 2021-05-06T07:57:54Z | {
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} | **Is your feature request related to a problem? Please describe.**
A clear and concise description of what the problem is.
This is an awesome library.
It seems like the dynamic module path in this library has broken some of hyperparameter tuning functionality: https://discuss.huggingface.co/t/using-hyperparamet... | {
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https://api.github.com/repos/huggingface/datasets/issues/4566 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4566/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4566/comments | https://api.github.com/repos/huggingface/datasets/issues/4566/events | https://github.com/huggingface/datasets/issues/4566 | 1,284,397,594 | I_kwDODunzps5Mjloa | 4,566 | Document link #load_dataset_enhancing_performance points to nowhere | {
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"Hi! This is indeed the link the docstring should point to. Are you interested in submitting a PR to fix this?",
"https://github.com/huggingface/datasets/blame/master/docs/source/cache.mdx#L93\r\n\r\nThere seems already an anchor here. Somehow it doesn't work. I am not very familiar with how this online documenta... | 2022-06-25T01:18:19Z | 2023-01-24T16:33:40Z | 2023-01-24T16:33:40Z | null | NONE | [] | null | null | {
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A clear and concise description of what the bug is.
The [load_dataset_enhancing_performance](https://huggingface.co/docs/datasets/v2.3.2/en/package_reference/main_classes#load_dat... | {
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https://api.github.com/repos/huggingface/datasets/issues/4775 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4775/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4775/comments | https://api.github.com/repos/huggingface/datasets/issues/4775/events | https://github.com/huggingface/datasets/issues/4775 | 1,324,136,486 | I_kwDODunzps5O7Lgm | 4,775 | Streaming not supported in Theivaprakasham/wildreceipt | {
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"Thanks for reporting @NitishkKarra.\r\n\r\nThe root source of the issue is that streaming mode is not supported out-of-the-box for that dataset, because it contains a TAR file.\r\n\r\nWe have opened a discussion in the corresponding Hub dataset page, pointing out this issue: https://huggingface.co/datasets/Theivap... | 2022-08-01T09:46:17Z | 2022-08-01T10:30:29Z | 2022-08-01T10:30:29Z | {
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_No response_
### Description
_No response_
### Owner
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https://api.github.com/repos/huggingface/datasets/issues/581 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/581/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/581/comments | https://api.github.com/repos/huggingface/datasets/issues/581/events | https://github.com/huggingface/datasets/issues/581 | 695,120,517 | MDU6SXNzdWU2OTUxMjA1MTc= | 581 | Better error message when input file does not exist | {
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} | In the following scenario, when `data_files` is an empty list, the stack trace and error message could be improved. This can probably be solved by checking for each file whether it actually exists and/or whether the argument is not false-y.
```python
dataset = load_dataset("text", data_files=[])
```
Example err... | {
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https://api.github.com/repos/huggingface/datasets/issues/1026 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1026/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1026/comments | https://api.github.com/repos/huggingface/datasets/issues/1026/events | https://github.com/huggingface/datasets/issues/1026 | 755,689,195 | MDU6SXNzdWU3NTU2ODkxOTU= | 1,026 | Lío o | {
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```
O
```
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Ño
```
````
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https://api.github.com/repos/huggingface/datasets/issues/4324 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4324/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4324/comments | https://api.github.com/repos/huggingface/datasets/issues/4324/events | https://github.com/huggingface/datasets/issues/4324 | 1,233,780,870 | I_kwDODunzps5JigCG | 4,324 | Support >1 PWC dataset per dataset card | {
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"Hi @leondz, I agree it would be nice. We'll see what we can do ;)"
] | 2022-05-12T10:29:07Z | 2022-05-13T11:25:29Z | null | null | CONTRIBUTOR | [] | null | null | {
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} | **Is your feature request related to a problem? Please describe.**
Some datasets cover more than one dataset on PapersWithCode. For example, the OffensEval 2020 challenge involved five languages, and there's one dataset to cover all five datasets, [`strombergnlp/offenseval_2020`](https://huggingface.co/datasets/stromb... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/3906 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3906/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3906/comments | https://api.github.com/repos/huggingface/datasets/issues/3906/events | https://github.com/huggingface/datasets/issues/3906 | 1,168,496,328 | I_kwDODunzps5FpdbI | 3,906 | NonMatchingChecksumError on Spider dataset | {
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"Hi @kolk, thanks for reporting.\r\n\r\nIndeed, Google Drive service recently changed their service and we had to add a fix to our library to cope with that change:\r\n- #3787 \r\n\r\nWe just made patch release last week: 1.18.4 https://github.com/huggingface/datasets/releases/tag/1.18.4\r\n\r\nPlease, feel free to... | 2022-03-14T14:54:53Z | 2022-03-15T07:09:51Z | 2022-03-15T07:09:51Z | null | NONE | [] | null | null | {
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} | ## Describe the bug
Failure to generate dataset ```spider``` because of checksums error for dataset source files.
## Steps to reproduce the bug
```
from datasets import load_dataset
spider = load_dataset("spider")
```
## Expected results
Checksums should match for files from url ['https://drive.google.com... | {
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https://api.github.com/repos/huggingface/datasets/issues/1964 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1964/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1964/comments | https://api.github.com/repos/huggingface/datasets/issues/1964/events | https://github.com/huggingface/datasets/issues/1964 | 818,624,864 | MDU6SXNzdWU4MTg2MjQ4NjQ= | 1,964 | Datasets.py function load_dataset does not match squad dataset | {
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"Hi !\r\n\r\nTo fix 1, an you try to run this code ?\r\n```python\r\nfrom datasets import load_dataset\r\n\r\nload_dataset(\"squad\", download_mode=\"force_redownload\")\r\n```\r\nMaybe the file your downloaded was corrupted, in this case redownloading this way should fix your issue 1.\r\n\r\nRegarding your 2nd poi... | 2021-03-01T08:41:31Z | 2022-10-05T13:09:47Z | 2022-10-05T13:09:47Z | null | NONE | [] | null | null | {
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} | ### 1 When I try to train lxmert,and follow the code in README that --dataset name:
```shell
python examples/question-answering/run_qa.py --model_name_or_path unc-nlp/lxmert-base-uncased --dataset_name squad --do_train --do_eval --per_device_train_batch_size 12 --learning_rate 3e-5 --num_train_epochs 2 --max_seq_len... | {
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https://api.github.com/repos/huggingface/datasets/issues/3847 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3847/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3847/comments | https://api.github.com/repos/huggingface/datasets/issues/3847/events | https://github.com/huggingface/datasets/issues/3847 | 1,161,856,417 | I_kwDODunzps5FQIWh | 3,847 | Datasets' cache not re-used | {
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"<s>I think this is because the tokenizer is stateful and because the order in which the splits are processed is not deterministic. Because of that, the hash of the tokenizer may change for certain splits, which causes issues with caching.\r\n\r\nTo fix this we can try making the order of the splits deterministic f... | 2022-03-07T19:55:15Z | 2026-03-09T18:30:43Z | 2026-03-09T18:30:43Z | null | NONE | [] | null | null | {
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} | ## Describe the bug
For most tokenizers I have tested (e.g. the RoBERTa tokenizer), the data preprocessing cache are not fully reused in the first few runs, although their `.arrow` cache files are in the cache directory.
## Steps to reproduce the bug
Here is a reproducer. The GPT2 tokenizer works perfectly with ca... | {
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"You can create a `pandas` DataFrame following [this](https://lakefs.io/data-version-control/dvc-using-python/) tutorial, and then convert this DataFrame to a `Dataset` with `datasets.Dataset.from_pandas`. For larger datasets (to memory map them), you can use `Dataset.from_generator` with a generator function that ... | 2023-12-06T09:04:11Z | 2024-07-03T19:13:57Z | 2024-07-03T19:13:56Z | null | CONTRIBUTOR | [] | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/4649 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4649/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4649/comments | https://api.github.com/repos/huggingface/datasets/issues/4649/events | https://github.com/huggingface/datasets/issues/4649 | 1,296,673,712 | I_kwDODunzps5NSauw | 4,649 | Add PAQ dataset | {
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"uploaded dataset [here](https://huggingface.co/datasets/embedding-data/PAQ_pairs)"
] | 2022-07-07T01:29:42Z | 2022-07-14T02:06:27Z | 2022-07-14T02:06:27Z | null | NONE | [] | null | null | {
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- **Name:** *PAQ*
- **Description:** *This repository contains code and models to support the research paper PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them*
- **Paper:** *https://arxiv.org/abs/2102.07033*
- **Data:** *https://huggingface.co/datasets/sentence-transformers/... | {
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https://api.github.com/repos/huggingface/datasets/issues/414 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/414/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/414/comments | https://api.github.com/repos/huggingface/datasets/issues/414/events | https://github.com/huggingface/datasets/issues/414 | 660,654,013 | MDU6SXNzdWU2NjA2NTQwMTM= | 414 | from_dict delete? | {
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"`from_dict` was added in #350 that was unfortunately not included in the 0.3.0 release. It's going to be included in the next release that will be out pretty soon though.\r\nRight now if you want to use `from_dict` you have to install the package from the master branch\r\n```\r\npip install git+https://github.com/... | 2020-07-19T07:08:36Z | 2020-07-21T02:21:17Z | 2020-07-21T02:21:17Z | null | NONE | [] | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7201 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7201/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7201/comments | https://api.github.com/repos/huggingface/datasets/issues/7201/events | https://github.com/huggingface/datasets/issues/7201 | 2,569,837,015 | I_kwDODunzps6ZLJnX | 7,201 | `load_dataset()` of images from a single directory where `train.png` image exists | {
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} | ### Describe the bug
Hey!
Firstly, thanks for maintaining such framework!
I had a small issue, where I wanted to load a custom dataset of image+text captioning. I had all of my images in a single directory, and one of the images had the name `train.png`. Then, the loaded dataset had only this image.
I guess it'... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/543 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/543/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/543/comments | https://api.github.com/repos/huggingface/datasets/issues/543/events | https://github.com/huggingface/datasets/issues/543 | 688,644,407 | MDU6SXNzdWU2ODg2NDQ0MDc= | 543 | nlp.load_dataset is not safe for multi processes when loading from local files | {
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"I'll take a look!"
] | 2020-08-30T03:20:34Z | 2020-08-31T11:15:10Z | 2020-08-31T11:15:10Z | null | NONE | [] | null | null | {
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} | Loading from local files, e.g., `dataset = nlp.load_dataset('csv', data_files=['file_1.csv', 'file_2.csv'])`
concurrently from multiple processes, will raise `FileExistsError` from builder's line 430, https://github.com/huggingface/nlp/blob/6655008c738cb613c522deb3bd18e35a67b2a7e5/src/nlp/builder.py#L423-L438
Likel... | {
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https://api.github.com/repos/huggingface/datasets/issues/6496 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6496/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6496/comments | https://api.github.com/repos/huggingface/datasets/issues/6496/events | https://github.com/huggingface/datasets/issues/6496 | 2,041,589,386 | I_kwDODunzps55sC6K | 6,496 | Error when writing a dataset to HF Hub: A commit has happened since. Please refresh and try again. | {
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"I transferred from datasets-server, since the issue is more about `datasets` and the integration with `huggingface_hub`."
] | 2023-12-14T11:24:54Z | 2023-12-14T12:22:21Z | null | null | NONE | [] | null | null | {
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} | **Describe the bug**
Getting a `412 Client Error: Precondition Failed` when trying to write a dataset to the HF hub.
```
huggingface_hub.utils._errors.HfHubHTTPError: 412 Client Error: Precondition Failed for url: https://huggingface.co/api/datasets/GLorr/test-dask/commit/main (Request ID: Root=1-657ae26f-3bd92b... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/376 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/376/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/376/comments | https://api.github.com/repos/huggingface/datasets/issues/376/events | https://github.com/huggingface/datasets/issues/376 | 655,047,826 | MDU6SXNzdWU2NTUwNDc4MjY= | 376 | to_pandas conversion doesn't always work | {
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"**Edit**: other topic previously in this message moved to a new issue: https://github.com/huggingface/nlp/issues/387",
"Could you try to update pyarrow to >=0.17.0 ? It should fix the `to_pandas` bug\r\n\r\nAlso I'm not sure that structures like list<struct> are fully supported in the lib (none of the datasets u... | 2020-07-10T21:33:31Z | 2022-10-04T18:05:39Z | 2022-10-04T18:05:39Z | null | MEMBER | [] | null | null | {
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} | For some complex nested types, the conversion from Arrow to python dict through pandas doesn't seem to be possible.
Here is an example using the official SQUAD v2 JSON file.
This example was found while investigating #373.
```python
>>> squad = load_dataset('json', data_files={nlp.Split.TRAIN: ["./train-v2.0.... | {
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https://api.github.com/repos/huggingface/datasets/issues/5002 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5002/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5002/comments | https://api.github.com/repos/huggingface/datasets/issues/5002/events | https://github.com/huggingface/datasets/issues/5002 | 1,380,589,402 | I_kwDODunzps5SSh9a | 5,002 | Dataset Viewer issue for loubnabnl/humaneval-x | {
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"description": "Related to the dataset viewer on huggingface.co",
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"It's a bug! Thanks for reporting, I'm looking at it",
"Fixed."
] | 2022-09-21T09:06:17Z | 2022-09-21T11:49:49Z | 2022-09-21T11:49:49Z | {
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} | ### Link
https://huggingface.co/datasets/loubnabnl/humaneval-x/viewer/
### Description
The dataset has subsets but the viewer gets stuck in the default subset even when I select another one (the data loading of the subsets works fine)
### Owner
Yes | {
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https://api.github.com/repos/huggingface/datasets/issues/5381 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5381/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5381/comments | https://api.github.com/repos/huggingface/datasets/issues/5381/events | https://github.com/huggingface/datasets/issues/5381 | 1,504,498,387 | I_kwDODunzps5ZrNLT | 5,381 | Wrong URL for the_pile dataset | {
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"Hi! This error can happen if there is a local file/folder with the same name as the requested dataset. And to avoid it, rename the local file/folder.\r\n\r\nSoon, it will be possible to explicitly request a Hub dataset as follows:https://github.com/huggingface/datasets/issues/5228#issuecomment-1313494020"
] | 2022-12-20T12:40:14Z | 2023-02-15T16:24:57Z | 2023-02-15T16:24:57Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
When trying to load `the_pile` dataset from the library, I get a `FileNotFound` error.
### Steps to reproduce the bug
Steps to reproduce:
Run:
```
from datasets import load_dataset
dataset = load_dataset("the_pile")
```
I get the output:
"name": "FileNotFoundError",
"message... | {
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https://api.github.com/repos/huggingface/datasets/issues/3232 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3232/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3232/comments | https://api.github.com/repos/huggingface/datasets/issues/3232/events | https://github.com/huggingface/datasets/issues/3232 | 1,047,361,573 | I_kwDODunzps4-bXgl | 3,232 | The Xsum datasets seems not able to download. | {
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"Hi ! On my side the URL is working fine, could you try again ?",
"> Hi ! On my side the URL is working fine, could you try again ?\r\n\r\nI try it again and cannot download the file (might because of my location). Could you please provide another download link(such as google drive)? :>",
"I don't know other ... | 2021-11-08T11:58:54Z | 2021-11-09T15:07:16Z | 2021-11-09T15:07:16Z | null | NONE | [] | null | null | {
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} | ## Describe the bug
The download Link of the Xsum dataset provided in the repository is [Link](http://bollin.inf.ed.ac.uk/public/direct/XSUM-EMNLP18-Summary-Data-Original.tar.gz). It seems not able to download.
## Steps to reproduce the bug
```python
load_dataset('xsum')
```
## Actual results
``` python
r... | {
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https://api.github.com/repos/huggingface/datasets/issues/6025 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6025/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6025/comments | https://api.github.com/repos/huggingface/datasets/issues/6025/events | https://github.com/huggingface/datasets/issues/6025 | 1,801,852,601 | I_kwDODunzps5rZha5 | 6,025 | Using a dataset for a use other than it was intended for. | {
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"I've opened a PR with a fix. In the meantime, you can avoid the error by deleting `task_templates` with `dataset.info.task_templates = None` before the `interleave_datasets` call.\r\n` "
] | 2023-07-12T22:33:17Z | 2023-07-13T13:57:36Z | 2023-07-13T13:57:36Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
Hi, I want to use the rotten tomatoes dataset but for a task other than classification, but when I interleave the dataset, it throws ```'ValueError: Column label is not present in features.'```. It seems that the label_col must be there in the dataset for some reason?
Here is the full stacktra... | {
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https://api.github.com/repos/huggingface/datasets/issues/2549 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2549/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2549/comments | https://api.github.com/repos/huggingface/datasets/issues/2549/events | https://github.com/huggingface/datasets/issues/2549 | 929,819,093 | MDU6SXNzdWU5Mjk4MTkwOTM= | 2,549 | Handling unlabeled datasets | {
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"Hi @nelson-liu,\r\n\r\nYou can pass the parameter `features` to `load_dataset`: https://huggingface.co/docs/datasets/_modules/datasets/load.html#load_dataset\r\n\r\nIf you look at the code of the MNLI script you referred in your question (https://github.com/huggingface/datasets/blob/master/datasets/multi_nli/multi... | 2021-06-25T04:32:23Z | 2021-06-25T21:07:57Z | 2021-06-25T21:07:56Z | null | NONE | [] | null | null | {
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} | Hi!
Is there a way for datasets to produce unlabeled instances (e.g., the `ClassLabel` can be nullable).
For example, I want to use the MNLI dataset reader ( https://github.com/huggingface/datasets/blob/master/datasets/multi_nli/multi_nli.py ) on a file that doesn't have the `gold_label` field. I tried setting `"... | {
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https://api.github.com/repos/huggingface/datasets/issues/4589 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4589/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4589/comments | https://api.github.com/repos/huggingface/datasets/issues/4589/events | https://github.com/huggingface/datasets/issues/4589 | 1,287,600,029 | I_kwDODunzps5Mvzed | 4,589 | Permission denied: '/home/.cache' when load_dataset with local script | {
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https://api.github.com/repos/huggingface/datasets/issues/750 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/750/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/750/comments | https://api.github.com/repos/huggingface/datasets/issues/750/events | https://github.com/huggingface/datasets/issues/750 | 726,589,446 | MDU6SXNzdWU3MjY1ODk0NDY= | 750 | load_dataset doesn't include `features` in its hash | {
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} | It looks like the function `load_dataset` does not include what's passed in the `features` argument when creating a hash for a given dataset. As a result, if a user includes new features from an already downloaded dataset, those are ignored.
Example: some models on the hub have a different ordering for the labels t... | {
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https://api.github.com/repos/huggingface/datasets/issues/7516 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7516/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7516/comments | https://api.github.com/repos/huggingface/datasets/issues/7516/events | https://github.com/huggingface/datasets/issues/7516 | 2,995,780,283 | I_kwDODunzps6yj_q7 | 7,516 | unsloth/DeepSeek-R1-Distill-Qwen-32B server error | {
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} | ### Describe the bug
hfhubhttperror: 500 server error: internal server error for url: https://huggingface.co/api/models/unsloth/deepseek-r1-distill-qwen-32b-bnb-4bit/commits/main (request id: root=1-67fe23fa-3a2150eb444c2a823c388579;de3aed68-c397-4da5-94d4-6565efd3b919) internal error - we're working hard to fix this ... | {
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https://api.github.com/repos/huggingface/datasets/issues/4836 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4836/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4836/comments | https://api.github.com/repos/huggingface/datasets/issues/4836/events | https://github.com/huggingface/datasets/issues/4836 | 1,337,067,632 | I_kwDODunzps5Psghw | 4,836 | Is it possible to pass multiple links to a split in load script? | {
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} | **Is your feature request related to a problem? Please describe.**
I wanted to use a python loading script in hugging face datasets that use different sources of text (it's somehow a compilation of multiple datasets + my own dataset) based on how `load_dataset` [works](https://huggingface.co/docs/datasets/loading) I a... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/3320 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3320/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3320/comments | https://api.github.com/repos/huggingface/datasets/issues/3320/events | https://github.com/huggingface/datasets/issues/3320 | 1,063,531,992 | I_kwDODunzps4_ZDXY | 3,320 | Can't get tatoeba.rus dataset | {
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} | ## Describe the bug
It gives an error.
> FileNotFoundError: Couldn't find file at https://github.com/facebookresearch/LASER/raw/master/data/tatoeba/v1/tatoeba.rus-eng.rus
## Steps to reproduce the bug
```python
data=load_dataset("xtreme","tatoeba.rus", split="validation")
```
## Solution
The library tries... | {
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https://api.github.com/repos/huggingface/datasets/issues/582 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/582/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/582/comments | https://api.github.com/repos/huggingface/datasets/issues/582/events | https://github.com/huggingface/datasets/issues/582 | 695,126,456 | MDU6SXNzdWU2OTUxMjY0NTY= | 582 | Allow for PathLike objects | {
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} | Using PathLike objects as input for `load_dataset` does not seem to work. The following will throw an error.
```python
files = list(Path(r"D:\corpora\yourcorpus").glob("*.txt"))
dataset = load_dataset("text", data_files=files)
```
Traceback:
```
Traceback (most recent call last):
File "C:/dev/python/dut... | {
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https://api.github.com/repos/huggingface/datasets/issues/3114 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3114/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3114/comments | https://api.github.com/repos/huggingface/datasets/issues/3114/events | https://github.com/huggingface/datasets/issues/3114 | 1,030,693,130 | I_kwDODunzps49byEK | 3,114 | load_from_disk in DatasetsDict/Dataset not working with PyArrowHDFS wrapper implementing fsspec.spec.AbstractFileSystem | {
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"Hi ! Can you try again with pyarrow 6.0.0 ? I think it includes some changes regarding filesystems compatibility with fsspec.",
"Hi @lhoestq! I ended up using `fsspec.implementations.arrow.HadoopFileSystem` which doesn't have the problem I described with pyarrow 5.0.0.\r\n\r\nI'll try again with `PyArrowHDFS` on... | 2021-10-19T20:01:45Z | 2022-02-14T14:00:28Z | 2022-02-14T14:00:28Z | null | CONTRIBUTOR | [] | null | null | {
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} | ## Describe the bug
Passing a PyArrowHDFS implementation of fsspec.spec.AbstractFileSystem (in the `fs` param required by `load_from_disk` methods in `DatasetDict` (in datasets_dict.py) and `Dataset` (in arrow_dataset.py) results in an error when calling the download method in the `fs` parameter.
## Steps to repr... | {
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https://api.github.com/repos/huggingface/datasets/issues/7129 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7129/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7129/comments | https://api.github.com/repos/huggingface/datasets/issues/7129/events | https://github.com/huggingface/datasets/issues/7129 | 2,491,942,650 | I_kwDODunzps6UiAb6 | 7,129 | Inconsistent output in documentation example: `num_classes` not displayed in `ClassLabel` output | {
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````
from datasets import Features
features = Features({'label': ClassLabel(num_classes=3, names=['bad', 'ok', 'good'])})
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https://api.github.com/repos/huggingface/datasets/issues/3645 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3645/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3645/comments | https://api.github.com/repos/huggingface/datasets/issues/3645/events | https://github.com/huggingface/datasets/issues/3645 | 1,116,541,298 | I_kwDODunzps5CjRFy | 3,645 | Streaming dataset based on dl_manager.iter_archive/iter_files are not reset correctly | {
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https://api.github.com/repos/huggingface/datasets/issues/3049 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3049/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3049/comments | https://api.github.com/repos/huggingface/datasets/issues/3049/events | https://github.com/huggingface/datasets/issues/3049 | 1,021,770,008 | I_kwDODunzps485vkY | 3,049 | TimeoutError during streaming | {
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} | ## Describe the bug
I got a TimeoutError after streaming for about 10h.
## Steps to reproduce the bug
Very long code but we could do a test of streaming indefinitely data, though error may take a while to appear.
## Expected results
This error was not expected in the code which considers only `ClientError` but... | {
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https://api.github.com/repos/huggingface/datasets/issues/2224 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2224/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2224/comments | https://api.github.com/repos/huggingface/datasets/issues/2224/events | https://github.com/huggingface/datasets/issues/2224 | 857,983,361 | MDU6SXNzdWU4NTc5ODMzNjE= | 2,224 | Raise error if Windows max path length is not disabled | {
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Linked to discussion in #2220. | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2991 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2991/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2991/comments | https://api.github.com/repos/huggingface/datasets/issues/2991/events | https://github.com/huggingface/datasets/issues/2991 | 1,012,174,823 | I_kwDODunzps48VI_n | 2,991 | add docmentation for the `Unix style pattern` matching feature that can be leverage for `data_files` into `load_dataset` | {
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This feature was mentioned [here](https://huggingface.co/docs/datasets/loading_datasets.html#from-a-community-dataset-on-the-h... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6560 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6560/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6560/comments | https://api.github.com/repos/huggingface/datasets/issues/6560/events | https://github.com/huggingface/datasets/issues/6560 | 2,065,637,625 | I_kwDODunzps57HyD5 | 6,560 | Support Video | {
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"duplicate of #5225"
] | 2024-01-04T13:10:58Z | 2024-08-23T09:51:27Z | 2024-08-23T09:51:27Z | null | NONE | [] | null | null | {
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} | ### Feature request
HF datasets are awesome in supporting text and images. Will be great to see such a support in videos :)
### Motivation
Video generation :)
### Your contribution
Will probably be limited to raising this feature request ;) | {
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https://api.github.com/repos/huggingface/datasets/issues/773 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/773/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/773/comments | https://api.github.com/repos/huggingface/datasets/issues/773/events | https://github.com/huggingface/datasets/issues/773 | 731,684,153 | MDU6SXNzdWU3MzE2ODQxNTM= | 773 | Adding CC-100: Monolingual Datasets from Web Crawl Data | {
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"cc @aconneau ;) ",
"These dataset files are no longer available. https://data.statmt.org/cc-100/ files provided in this link are no longer available. Can anybody fix that issue?\r\n@abhishekkrthakur @yjernite ",
"Hi ! Can you open an issue to report this problem ? This will help keep track of the fix :)",
"... | 2020-10-28T18:20:41Z | 2022-01-26T13:22:54Z | 2020-12-14T10:20:07Z | {
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} | ## Adding a Dataset
- **Name:** CC-100: Monolingual Datasets from Web Crawl Data
- **Description:** https://twitter.com/alex_conneau/status/1321507120848625665
- **Paper:** https://arxiv.org/abs/1911.02116
- **Data:** http://data.statmt.org/cc-100/
- **Motivation:** A large scale multi-lingual language modeling da... | {
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https://api.github.com/repos/huggingface/datasets/issues/6059 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6059/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6059/comments | https://api.github.com/repos/huggingface/datasets/issues/6059/events | https://github.com/huggingface/datasets/issues/6059 | 1,816,537,176 | I_kwDODunzps5sRihY | 6,059 | Provide ability to load label mappings from file | {
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"I would like this also as I have been working with a dataset with hierarchical classes. In fact, I encountered this very issue when trying to define the dataset with a script. I couldn't find a work around and reverted to hard coding the class names in the readme yaml.\r\n\r\n@david-waterworth do you envision also... | 2023-07-22T02:04:19Z | 2024-04-16T08:07:55Z | null | null | NONE | [] | null | null | {
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} | ### Feature request
My task is classification of a dataset containing a large label set that includes a hierarchy. Even ignoring the hierarchy I'm not able to find an example using `datasets` where the label names aren't hard-coded. This works find for classification of a handful of labels but ideally there would be... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5594 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5594/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5594/comments | https://api.github.com/repos/huggingface/datasets/issues/5594/events | https://github.com/huggingface/datasets/issues/5594 | 1,603,980,995 | I_kwDODunzps5fms7D | 5,594 | Error while downloading the xtreme udpos dataset | {
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"Hi! I cannot reproduce this error on my machine.\r\n\r\nThe raised error could mean that one of the downloaded files is corrupted. To verify this is not the case, you can run `load_dataset` as follows:\r\n```python\r\ntrain_dataset = load_dataset('xtreme', 'udpos.English', split=\"train\", cache_dir=args.cache_dir... | 2023-02-28T23:40:53Z | 2023-11-04T20:45:56Z | 2023-07-24T14:22:18Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
Hi,
I am facing an error while downloading the xtreme udpos dataset using load_dataset. I have datasets 2.10.1 installed
```Downloading and preparing dataset xtreme/udpos.Arabic to /compute/tir-1-18/skhanuja/multilingual_ft/cache/data/xtreme/udpos.Arabic/1.0.0/29f5d57a48779f37ccb75cb8708d1... | {
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https://api.github.com/repos/huggingface/datasets/issues/2144 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2144/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2144/comments | https://api.github.com/repos/huggingface/datasets/issues/2144/events | https://github.com/huggingface/datasets/issues/2144 | 844,352,067 | MDU6SXNzdWU4NDQzNTIwNjc= | 2,144 | Loading wikipedia 20200501.en throws pyarrow related error | {
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"That's how I loaded the dataset\r\n```python\r\nfrom datasets import load_dataset\r\nds = load_dataset('wikipedia', '20200501.en', cache_dir='/usr/local/workspace/NAS_NLP/cache')\r\n```",
"Hi ! It looks like the arrow file in the folder\r\n`/usr/local/workspace/NAS_NLP/cache/wikipedia/20200501.en/1.0.0/50aa706aa... | 2021-03-30T10:38:31Z | 2021-04-01T09:21:17Z | null | null | NONE | [] | null | null | {
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I am getting the following error when trying to load wikipedia/20200501.en dataset.
**Error log**
Downloading and preparing dataset wikipedia/20200501.en (download: 16.99 GiB, generated: 17.07 GiB, post-processed: Unknown size, total: 34.06 GiB) to /usr/local/workspace/NAS_NLP/cache/wikiped... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6843 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6843/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6843/comments | https://api.github.com/repos/huggingface/datasets/issues/6843/events | https://github.com/huggingface/datasets/issues/6843 | 2,265,432,897 | I_kwDODunzps6HB8NB | 6,843 | IterableDataset raises exception instead of retrying | {
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"Thanks for reporting! I've opened a PR with a fix.",
"Thanks, @mariosasko! Related question (although I guess this is a feature request): could we have some kind of exponential back-off for these retries? Here's my reasoning:\r\n- If a one-time accidental error happens, you should retry immediately and will succ... | 2024-04-26T10:00:43Z | 2024-10-28T14:57:07Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
In light of the recent server outages, I decided to look into whether I could somehow wrap my IterableDataset streams to retry rather than error out immediately. To my surprise, `datasets` [already supports retries](https://github.com/huggingface/datasets/issues/6172#issuecomment-1794876229). Si... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/4647 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4647/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4647/comments | https://api.github.com/repos/huggingface/datasets/issues/4647/events | https://github.com/huggingface/datasets/issues/4647 | 1,296,311,270 | I_kwDODunzps5NRCPm | 4,647 | Add Reddit dataset | {
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"default": false,
"description": "Requesting to add a new dataset",
"id": 2067376369,
"name": "dataset request",
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] | open | false | [] | null | [] | 2022-07-06T19:49:18Z | 2022-07-06T19:49:18Z | null | null | NONE | [] | null | null | {
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} | ## Adding a Dataset
- **Name:** *Reddit comments (2015-2018)*
- **Description:** *Reddit is an American social news aggregation website, where users can post links, and take part in discussions on these posts. These threaded discussions provide a large corpus, which is converted into a conversational dataset using th... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/3951 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3951/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3951/comments | https://api.github.com/repos/huggingface/datasets/issues/3951/events | https://github.com/huggingface/datasets/issues/3951 | 1,171,568,814 | I_kwDODunzps5F1Liu | 3,951 | Forked streaming datasets try to `open` data urls rather than use network | {
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"Thanks for reporting this second issue as well. We definitely want to make streaming datasets fully working in a distributed setup and with the best performance. Right now it only supports single process.\r\n\r\nIn this issue it seems that the streaming capabilities that we offer to dataset builders are not transf... | 2022-03-16T21:21:02Z | 2022-06-10T20:47:26Z | 2022-06-10T20:47:26Z | {
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} | ## Describe the bug
Building on #3950, if you bypass the pickling problem you still can't use the dataset. Somehow something gets confused and the forked processes try to `open` urls rather than anything else.
## Steps to reproduce the bug
```python
from multiprocessing import freeze_support
import transformer... | {
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https://api.github.com/repos/huggingface/datasets/issues/8125 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8125/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8125/comments | https://api.github.com/repos/huggingface/datasets/issues/8125/events | https://github.com/huggingface/datasets/issues/8125 | 4,223,104,906 | I_kwDODunzps77t3eK | 8,125 | Feature request: being able to disable chmod for flat permission filesystems | {
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"Context: the operation fails on GCS FUSE mounts, and likely will on similar s3-backed file systems.\n\n File \"/home/user/.venv/lib/python3.12/site-packages/datasets/arrow_dataset.py\", line 3747, in _map_single ... | 2026-04-08T08:17:14Z | 2026-04-08T08:22:42Z | null | null | NONE | [] | null | null | {
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} | ### Feature request
For flat permission file systems, `os.chmod` simply fails when trying to cache datasets - in some places such as: https://github.com/huggingface/datasets/blob/main/src/datasets/arrow_dataset.py#L4043-L4048 for arrow datasets.
This seems to be optional to obtained desired behavior as simply comment... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2343 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2343/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2343/comments | https://api.github.com/repos/huggingface/datasets/issues/2343/events | https://github.com/huggingface/datasets/issues/2343 | 883,208,539 | MDU6SXNzdWU4ODMyMDg1Mzk= | 2,343 | Columns are removed before or after map function applied? | {
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"Hi! Columns are removed **after** applying the function and **before** updating the examples with the function's output (as per the docs [here](https://huggingface.co/docs/datasets/package_reference/main_classes#datasets.Dataset.map.remove_columns)). I agree the docs on this should be more clear."
] | 2021-05-10T02:36:20Z | 2022-10-24T11:31:55Z | null | null | NONE | [] | null | null | {
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} | ## Describe the bug
According to the documentation when applying map function the [remove_columns ](https://huggingface.co/docs/datasets/processing.html#removing-columns) will be removed after they are passed to the function, but in the [source code](https://huggingface.co/docs/datasets/package_reference/main_classes.... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5511 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5511/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5511/comments | https://api.github.com/repos/huggingface/datasets/issues/5511/events | https://github.com/huggingface/datasets/issues/5511 | 1,575,851,768 | I_kwDODunzps5d7Zb4 | 5,511 | Creating a dummy dataset from a bigger one | {
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"Update `datasets` or downgrade `huggingface-hub` ;)\r\n\r\nThe `huggingface-hub` lib did a breaking change a few months ago, and you're using an old version of `datasets` that does't support it",
"Awesome thanks a lot! Everything works just fine with `datasets==2.9.0` :-) ",
"Getting same error with latest ver... | 2023-02-08T10:18:41Z | 2023-12-28T18:21:01Z | 2023-02-08T10:35:48Z | null | CONTRIBUTOR | [] | null | null | {
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} | ### Describe the bug
I often want to create a dummy dataset from a bigger dataset for fast iteration when training. However, I'm having a hard time doing this especially when trying to upload the dataset to the Hub.
### Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset... | {
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https://api.github.com/repos/huggingface/datasets/issues/6985 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6985/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6985/comments | https://api.github.com/repos/huggingface/datasets/issues/6985/events | https://github.com/huggingface/datasets/issues/6985 | 2,362,378,276 | I_kwDODunzps6Mzwgk | 6,985 | AttributeError: module 'pyarrow.lib' has no attribute 'ListViewType' | {
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"Please note that the error is raised just at import:\r\n```python\r\nimport pyarrow.parquet as pq\r\n```\r\n\r\nTherefore it must be caused by some problem with your pyarrow installation. I would recommend you uninstall and install pyarrow again.\r\n\r\nI also see that it seems you use conda to install pyarrow. Pl... | 2024-06-19T13:22:28Z | 2025-03-14T18:47:53Z | 2024-06-25T05:40:51Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
I have been struggling with this for two days, any help would be appreciated. Python 3.10
```
from setfit import SetFitModel
from huggingface_hub import login
access_token_read = "cccxxxccc"
# Authenticate with the Hugging Face Hub
login(token=access_token_read)
# Load the models fr... | {
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https://api.github.com/repos/huggingface/datasets/issues/4387 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4387/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4387/comments | https://api.github.com/repos/huggingface/datasets/issues/4387/events | https://github.com/huggingface/datasets/issues/4387 | 1,244,147,817 | I_kwDODunzps5KKDBp | 4,387 | device/google/accessory/adk2012 - Git at Google | {
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https://android.googlesource.com/device/google/accessory/adk2012/#:~:text=git%20clone%20https%3A//android.googlesource.com/device/google/accessory/adk2012 | {
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https://api.github.com/repos/huggingface/datasets/issues/2116 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2116/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2116/comments | https://api.github.com/repos/huggingface/datasets/issues/2116/events | https://github.com/huggingface/datasets/issues/2116 | 841,481,292 | MDU6SXNzdWU4NDE0ODEyOTI= | 2,116 | Creating custom dataset results in error while calling the map() function | {
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"Hi,\r\n\r\nthe `_data` attribute is missing due to `MyDataset.__init__` not calling the parent `__init__`. However, I don't think it's a good idea to subclass the `datasets.Dataset` class (e.g. it's kind of dangerous to override `datasets.Dataset.__getitem__`). Instead, it's better to follow the \"association over... | 2021-03-26T00:37:46Z | 2021-03-31T14:30:32Z | 2021-03-31T14:30:32Z | null | NONE | [] | null | null | {
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} | calling `map()` of `datasets` library results into an error while defining a Custom dataset.
Reproducible example:
```
import datasets
class MyDataset(datasets.Dataset):
def __init__(self, sentences):
"Initialization"
self.samples = sentences
def __len__(self):
"Denotes the ... | {
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https://api.github.com/repos/huggingface/datasets/issues/4062 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4062/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4062/comments | https://api.github.com/repos/huggingface/datasets/issues/4062/events | https://github.com/huggingface/datasets/issues/4062 | 1,186,330,732 | I_kwDODunzps5Gtfhs | 4,062 | Loading mozilla-foundation/common_voice_7_0 dataset failed | {
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"Hi @aapot, thanks for reporting.\r\n\r\nWe are investigating the cause of this issue. We will keep you informed. ",
"When making HTTP request from code line:\r\n```\r\nresponse = requests.get(f\"{_API_URL}/bucket/dataset/{path}/{use_cdn}\", timeout=10.0).json()\r\n```\r\nit cannot be decoded to JSON because it r... | 2022-03-30T11:39:41Z | 2024-06-09T12:12:46Z | 2022-03-31T08:18:04Z | {
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} | ## Describe the bug
I wanted to load `mozilla-foundation/common_voice_7_0` dataset with `fi` language and `test` split from datasets on Colab/Kaggle notebook, but I am getting an error `JSONDecodeError: [Errno Expecting value] Not Found: 0` while loading it. The bug seems to affect other languages and splits too than ... | {
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https://api.github.com/repos/huggingface/datasets/issues/836 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/836/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/836/comments | https://api.github.com/repos/huggingface/datasets/issues/836/events | https://github.com/huggingface/datasets/issues/836 | 740,187,613 | MDU6SXNzdWU3NDAxODc2MTM= | 836 | load_dataset with 'csv' is not working. while the same file is loading with 'text' mode or with pandas | {
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"Which version of pyarrow do you have ? Could you try to update pyarrow and try again ?",
"Thanks for the fast response. I have the latest version '2.0.0' (I tried to update)\r\nI am working with Python 3.8.5",
"I think that the issue is similar to this one:https://issues.apache.org/jira/browse/ARROW-9612\r\nTh... | 2020-11-10T19:35:40Z | 2021-11-24T16:59:19Z | 2020-11-19T17:35:38Z | null | NONE | [] | null | null | {
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} | Hi All
I am trying to load a custom dataset and I am trying to load a single file to make sure the file is loading correctly:
dataset = load_dataset('csv', data_files=files)
When I run it I get:
Downloading and preparing dataset csv/default-35575a1051604c88 (download: Unknown size, generated: Unknown size, post-... | {
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https://api.github.com/repos/huggingface/datasets/issues/4176 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4176/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4176/comments | https://api.github.com/repos/huggingface/datasets/issues/4176/events | https://github.com/huggingface/datasets/issues/4176 | 1,206,515,563 | I_kwDODunzps5H6fdr | 4,176 | Very slow between two operations | {
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} | Hello, in the processing stage, I use two operations. The first one : map + filter, is very fast and it uses the full cores, while the socond step is very slow and did not use full cores.
Also, there is a significant lag between them. Am I missing something ?
```
raw_datasets = raw_datasets.map(split_func... | {
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https://api.github.com/repos/huggingface/datasets/issues/3122 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3122/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3122/comments | https://api.github.com/repos/huggingface/datasets/issues/3122/events | https://github.com/huggingface/datasets/issues/3122 | 1,031,787,509 | I_kwDODunzps49f9P1 | 3,122 | OSError with a custom dataset loading script | {
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"Hi,\r\n\r\nthere is a difference in how the `data_dir` is zipped between the `classla/janes_tag` and the `classla/reldi_hr` dataset. After unzipping, for the former, the data files (`*.conllup`) are in the root directory (root -> data files), and for the latter, they are inside the `data` directory (root -> `data`... | 2021-10-20T20:08:39Z | 2021-11-23T09:55:38Z | 2021-11-23T09:55:38Z | null | NONE | [] | null | null | {
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} | ## Describe the bug
I am getting an OS error when trying to load the newly uploaded dataset classla/janes_tag. What puzzles me is that I have already uploaded a very similar dataset - classla/reldi_hr - with no issues. The loading scripts for the two datasets are almost identical and they have the same directory struc... | {
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https://api.github.com/repos/huggingface/datasets/issues/2300 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2300/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2300/comments | https://api.github.com/repos/huggingface/datasets/issues/2300/events | https://github.com/huggingface/datasets/issues/2300 | 873,928,169 | MDU6SXNzdWU4NzM5MjgxNjk= | 2,300 | Add VoxPopuli | {
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"I'm happy to take this on:) One question: The original unlabelled data is stored unsegmented (see e.g. https://github.com/facebookresearch/voxpopuli/blob/main/voxpopuli/get_unlabelled_data.py#L30), but segmenting the audio in the dataset would require a dependency on something like soundfile or torchaudio. An alte... | 2021-05-02T12:17:40Z | 2023-02-28T17:43:52Z | 2023-02-28T17:43:51Z | {
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} | ## Adding a Dataset
- **Name:** Voxpopuli
- **Description:** VoxPopuli is raw data is collected from 2009-2020 European Parliament event recordings
- **Paper:** https://arxiv.org/abs/2101.00390
- **Data:** https://github.com/facebookresearch/voxpopuli
- **Motivation:** biggest unlabeled speech dataset
**Note**:... | {
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https://api.github.com/repos/huggingface/datasets/issues/5677 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5677/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5677/comments | https://api.github.com/repos/huggingface/datasets/issues/5677/events | https://github.com/huggingface/datasets/issues/5677 | 1,644,828,606 | I_kwDODunzps5iChe- | 5,677 | Dataset.map() crashes when any column contains more than 1000 empty dictionaries | {
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} | ### Describe the bug
`Dataset.map()` crashes any time any column contains more than `writer_batch_size` (default 1000) empty dictionaries, regardless of whether the column is being operated on. The error does not occur if the dictionaries are non-empty.
### Steps to reproduce the bug
Example:
```
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https://api.github.com/repos/huggingface/datasets/issues/2230 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2230/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2230/comments | https://api.github.com/repos/huggingface/datasets/issues/2230/events | https://github.com/huggingface/datasets/issues/2230 | 859,817,159 | MDU6SXNzdWU4NTk4MTcxNTk= | 2,230 | Keys yielded while generating dataset are not being checked | {
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"Hi ! Indeed there's no verification on the uniqueness nor the types of the keys.\r\nDo you already have some ideas of what you would like to implement and how ?",
"Hey @lhoestq, thank you so much for the opportunity.\r\nAlthough I haven't had much experience with the HF Datasets code, after a careful look at how... | 2021-04-16T13:29:47Z | 2021-05-10T17:31:21Z | 2021-05-10T17:31:21Z | null | CONTRIBUTOR | [] | null | null | {
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} | The keys used in the dataset generation script to ensure the same order is generated on every user's end should be checked for their types (i.e either `str` or `int`) as well as whether they are unique or not.
Currently, the keys are not being checked for any of these, as evident from `xnli' dataset generation:
https... | {
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https://api.github.com/repos/huggingface/datasets/issues/1747 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1747/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1747/comments | https://api.github.com/repos/huggingface/datasets/issues/1747/events | https://github.com/huggingface/datasets/issues/1747 | 788,299,775 | MDU6SXNzdWU3ODgyOTk3NzU= | 1,747 | datasets slicing with seed | {
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"Hi :) \r\nThe slicing API from https://huggingface.co/docs/datasets/splits.html doesn't shuffle the data.\r\nYou can shuffle and then take a subset of your dataset with\r\n```python\r\n# shuffle and take the first 100 examples\r\ndataset = dataset.shuffle(seed=42).select(range(100))\r\n```\r\n\r\nYou can find more... | 2021-01-18T14:08:55Z | 2022-10-05T12:37:27Z | 2022-10-05T12:37:27Z | null | NONE | [] | null | null | {
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I need to slice a dataset with random seed, I looked into documentation here https://huggingface.co/docs/datasets/splits.html
I could not find a seed option, could you assist me please how I can get a slice for different seeds?
thank you.
@lhoestq | {
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https://api.github.com/repos/huggingface/datasets/issues/3714 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3714/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3714/comments | https://api.github.com/repos/huggingface/datasets/issues/3714/events | https://github.com/huggingface/datasets/issues/3714 | 1,136,105,530 | I_kwDODunzps5Dt5g6 | 3,714 | tatoeba_mt: File not found error and key error | {
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"Looks like I solved my problems ..."
] | 2022-02-13T16:35:45Z | 2022-02-13T20:44:04Z | 2022-02-13T20:44:04Z | null | NONE | [] | null | null | {
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} | ## Dataset viewer issue for 'tatoeba_mt'
**Link:** https://huggingface.co/datasets/Helsinki-NLP/tatoeba_mt
My data loader script does not seem to work.
The files are part of the local repository but cannot be found. An example where it should work is the subset for "afr-eng".
Another problem is that I do not ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5093 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5093/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5093/comments | https://api.github.com/repos/huggingface/datasets/issues/5093/events | https://github.com/huggingface/datasets/issues/5093 | 1,402,939,660 | I_kwDODunzps5TnykM | 5,093 | Mismatch between tutoriel and doc | {
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"Hi, thanks for reporting! This line should be replaced with \r\n```python\r\ndataset = dataset.map(lambda examples: tokenizer(examples[\"text\"], return_tensors=\"np\"), batched=True)\r\n```\r\nfor it to work (the `return_tensors` part inside the `tokenizer` call).",
"Can I work on this?",
"Fixed in https://gi... | 2022-10-10T10:23:53Z | 2022-10-10T17:51:15Z | 2022-10-10T17:51:14Z | {
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} | ## Describe the bug
In the "Process text data" tutorial, [`map` has `return_tensors` as kwarg](https://huggingface.co/docs/datasets/main/en/nlp_process#map). It does not seem to appear in the [function documentation](https://huggingface.co/docs/datasets/main/en/package_reference/main_classes#datasets.Dataset.map), nor... | {
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