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https://api.github.com/repos/huggingface/datasets/issues/7627 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7627/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7627/comments | https://api.github.com/repos/huggingface/datasets/issues/7627/events | https://github.com/huggingface/datasets/issues/7627 | 3,160,544,390 | I_kwDODunzps68YhSG | 7,627 | Creating a HF Dataset from lakeFS with S3 storage takes too much time! | {
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"### > Update\n\nThe bottleneck, from what I understand, was making one network request per file\n\nFor 30k images, this meant 30k separate GET requests to the MinIO server through the S3 API, and that was killing the performance\n\nUsing webDataset to transform the large number of files to few .tar files and passi... | 2025-06-19T14:28:41Z | 2025-06-23T12:39:10Z | 2025-06-23T12:39:10Z | null | NONE | [] | null | null | {
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I’m new to HF dataset and I tried to create datasets based on data versioned in **lakeFS** _(**MinIO** S3 bucket as storage backend)_
Here I’m using ±30000 PIL image from MNIST data however it is taking around 12min to execute, which is a lot!
From what I understand, it is loading the images into cache then buil... | {
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https://api.github.com/repos/huggingface/datasets/issues/2162 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2162/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2162/comments | https://api.github.com/repos/huggingface/datasets/issues/2162/events | https://github.com/huggingface/datasets/issues/2162 | 849,129,201 | MDU6SXNzdWU4NDkxMjkyMDE= | 2,162 | visualization for cc100 is broken | {
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"This looks like an issue with the cc100 dataset itself but not sure\r\nDid you try loading cc100 on your machine ?",
"Hi\nloading works fine, but the viewer only is broken\nthanks\n\nOn Wed, Apr 7, 2021 at 12:17 PM Quentin Lhoest ***@***.***>\nwrote:\n\n> This looks like an issue with the cc100 dataset itself bu... | 2021-04-02T10:11:13Z | 2022-10-05T13:20:24Z | 2022-10-05T13:20:24Z | null | NONE | [] | null | null | {
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visualization through dataset viewer for cc100 is broken
https://huggingface.co/datasets/viewer/
thanks a lot
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https://api.github.com/repos/huggingface/datasets/issues/2945 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2945/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2945/comments | https://api.github.com/repos/huggingface/datasets/issues/2945/events | https://github.com/huggingface/datasets/issues/2945 | 1,000,624,883 | I_kwDODunzps47pFLz | 2,945 | Protect master branch | {
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"Cool, I think we can do both :)",
"@lhoestq now the 2 are implemented.\r\n\r\nPlease note that for the the second protection, finally I have chosen to protect the master branch only from **merge commits** (see update comment above), so no need to disable/re-enable the protection on each release (direct commits, ... | 2021-09-20T06:47:01Z | 2021-09-20T12:01:27Z | 2021-09-20T12:00:16Z | null | MEMBER | [] | null | null | {
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- 00cc036fea7c7745cfe722360036ed306796a3f2
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https://api.github.com/repos/huggingface/datasets/issues/294 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/294/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/294/comments | https://api.github.com/repos/huggingface/datasets/issues/294/events | https://github.com/huggingface/datasets/issues/294 | 643,181,179 | MDU6SXNzdWU2NDMxODExNzk= | 294 | Cannot load arxiv dataset on MacOS? | {
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"I couldn't replicate this issue on my macbook :/\r\nCould you try to play with different encodings in `with open(path, encoding=...) as f` in scientific_papers.py:L108 ?",
"I was able to track down the file causing the problem by adding the following to `scientific_papers.py` (starting at line 116):\r\n\r\n```py... | 2020-06-22T15:46:55Z | 2020-06-30T15:25:10Z | 2020-06-30T15:25:10Z | null | CONTRIBUTOR | [] | null | null | {
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```python
arxiv = nlp.load_dataset("scientific_papers", "arxiv")
```
I get the following stack trace:
```bash
JSONDecodeError Traceback (most recen... | {
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https://api.github.com/repos/huggingface/datasets/issues/4865 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4865/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4865/comments | https://api.github.com/repos/huggingface/datasets/issues/4865/events | https://github.com/huggingface/datasets/issues/4865 | 1,344,552,626 | I_kwDODunzps5QJD6y | 4,865 | Dataset Viewer issue for MoritzLaurer/multilingual_nli | {
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"Thanks for reporting @MoritzLaurer.\r\n\r\nCurrently, the dataset preview is working properly: https://huggingface.co/datasets/MoritzLaurer/multilingual_nli\r\n\r\nPlease note that when a dataset is modified, it might take some time until the preview is completely updated.\r\n\r\n@severo might it be worth adding ... | 2022-08-19T14:55:20Z | 2022-08-22T14:47:14Z | 2022-08-22T06:13:20Z | {
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_No response_
### Description
I've just uploaded a new dataset to the hub and the viewer does not work for some reason, see here: https://huggingface.co/datasets/MoritzLaurer/multilingual_nli
It displays the error:
```
Status code: 400
Exception: Status400Error
Message: The dataset... | {
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"Thanks for reporting !\r\n\r\nThis issue must have appeared when we refactored type inference in `nlp`\r\nBy default the library tries to keep the same feature types when applying `map` but apparently it has troubles with nested structures. I'll try to fix that next week"
] | 2020-09-19T08:41:12Z | 2020-09-21T16:13:05Z | 2020-09-21T16:13:05Z | {
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} | I'm observing inconsistent behavior when applying .map(). This happens specifically when I'm incrementally adding onto a feature that is a nested dictionary. Here's a simple example that reproduces the problem.
```python
import datasets
# Dataset with a single feature called 'field' consisting of two examples
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https://api.github.com/repos/huggingface/datasets/issues/3188 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3188/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3188/comments | https://api.github.com/repos/huggingface/datasets/issues/3188/events | https://github.com/huggingface/datasets/issues/3188 | 1,040,980,712 | I_kwDODunzps4-DBro | 3,188 | conll2002 issues | {
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"Hi ! Thanks for reporting :)\r\n\r\nThis is related to https://github.com/huggingface/datasets/issues/2742, I'm working on it. It should fix the viewer for around 80 datasets.\r\n",
"Ah, hadn't seen that sorry.\r\n\r\nThe scrambled \"point of contact\" is a separate issue though, I think.",
"@lhoestq The \"poi... | 2021-11-01T09:49:24Z | 2021-11-15T13:50:59Z | 2021-11-12T17:18:11Z | null | CONTRIBUTOR | [] | null | null | {
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The dataset viewer throws a server error when trying to preview the dataset.
```
Message: Extraction protocol 'train' for file at 'https://raw.githubusercontent.com/teropa/nlp/master/resources/corpora/conll2002/esp.train' is not implemented yet
```
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https://api.github.com/repos/huggingface/datasets/issues/7956 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7956/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7956/comments | https://api.github.com/repos/huggingface/datasets/issues/7956/events | https://github.com/huggingface/datasets/issues/7956 | 3,839,082,498 | I_kwDODunzps7k08AC | 7,956 | Is the 10k files / folder limit a hard limit for a dataset repo? | {
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"Yes, that's a hard limit. Can you split your files into different folders? Or we'll probably have a new repo type in the near to mid future that will relax this limit a bit. ",
"Thanks! Working around this with a different sharding parameter to have fewer overall fragments (and therefore fewer files in `*.lance/... | 2026-01-21T16:37:38Z | 2026-01-22T09:38:38Z | null | null | NONE | [] | null | null | {
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} | ### Feature request
Can the hard limit of 10k files per folder be extended with acceptable loss in performance?
### Motivation
I'm uploading a lance dataset to huggingface hub and have a folder inside lance internals (`data/*.lance/_transactions`) that has > 20k atomic transaction records and my commits are being re... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/3578 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3578/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3578/comments | https://api.github.com/repos/huggingface/datasets/issues/3578/events | https://github.com/huggingface/datasets/issues/3578 | 1,103,403,287 | I_kwDODunzps5BxJkX | 3,578 | label information get lost after parquet serialization | {
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"Hi ! We did a release of `datasets` today that may fix this issue. Can you try updating `datasets` and trying again ?\r\n\r\nEDIT: the issue is still there actually\r\n\r\nI think we can fix that by storing the Features in the parquet schema metadata, and then reload them when loading the parquet file",
"This in... | 2022-01-14T10:10:38Z | 2023-07-25T15:44:53Z | 2023-07-25T15:44:53Z | null | NONE | [] | null | null | {
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} | ## Describe the bug
In *dataset_info.json* file, information about the label get lost after the dataset serialization.
## Steps to reproduce the bug
```python
from datasets import load_dataset
# normal save
dataset = load_dataset('glue', 'sst2', split='train')
dataset.save_to_disk("normal_save")
# save ... | {
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https://api.github.com/repos/huggingface/datasets/issues/8029 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8029/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8029/comments | https://api.github.com/repos/huggingface/datasets/issues/8029/events | https://github.com/huggingface/datasets/issues/8029 | 4,001,742,455 | I_kwDODunzps7uhb53 | 8,029 | `cache_dir` option in `download_config` in `load_dataset` is not respected | {
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"Actually, I used debugger to step into the code of `datasets`, and found `load_dataset` calls into `cached_path`, where it calls into `hf_hub_download` method for `hf://` links:\nhttps://github.com/huggingface/datasets/blob/6e8eaeed4d202b72eff44ba1a9ec5b7d81d2d3e6/src/datasets/utils/file_utils.py#L182-L195\n\nSome... | 2026-02-27T16:05:30Z | 2026-02-27T23:34:28Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
Downloaded files still go to `~/.cache/huggingface/hub/` even if I specified `cache_dir` option in `download_config` in `load_dataset`.
### Steps to reproduce the bug
Run my freshly written script and found that downloaded files did not go where I want.
```python
'''
下载OpenWebText数据集，允许使用代理
'''
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/3760 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3760/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3760/comments | https://api.github.com/repos/huggingface/datasets/issues/3760/events | https://github.com/huggingface/datasets/issues/3760 | 1,144,804,558 | I_kwDODunzps5EPFTO | 3,760 | Unable to view the Gradio flagged call back dataset | {
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"Hi @kingabzpro.\r\n\r\nI think you need to create a loading script that creates the dataset from the CSV file and the image paths.\r\n\r\nAs example, you could have a look at the Food-101 dataset: https://huggingface.co/datasets/food101\r\n- Loading script: https://huggingface.co/datasets/food101/blob/main/food101... | 2022-02-19T17:45:08Z | 2022-03-22T07:12:11Z | 2022-03-22T07:12:11Z | null | NONE | [] | null | null | {
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} | ## Dataset viewer issue for '*savtadepth-flags*'
**Link:** *[savtadepth-flags](https://huggingface.co/datasets/kingabzpro/savtadepth-flags)*
*with the Gradio 2.8.1 the dataset viers stopped working. I tried to add values manually but its not working. The dataset is also not showing the link with the app https://h... | {
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https://api.github.com/repos/huggingface/datasets/issues/7326 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7326/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7326/comments | https://api.github.com/repos/huggingface/datasets/issues/7326/events | https://github.com/huggingface/datasets/issues/7326 | 2,738,188,902 | I_kwDODunzps6jNXJm | 7,326 | Remove upper bound for fsspec | {
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"Unfortunately `fsspec` versioning allows breaking changes across version and there is no way we can keep it without constrains at the moment. It already broke `datasets` once in the past. Maybe one day once `fsspec` decides on a stable and future proof API but I don't think this will happen anytime soon\r\n\r\nedi... | 2024-12-13T11:35:12Z | 2025-01-03T15:34:37Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
As also raised by @cyyever in https://github.com/huggingface/datasets/pull/7296 and @NeilGirdhar in https://github.com/huggingface/datasets/commit/d5468836fe94e8be1ae093397dd43d4a2503b926#commitcomment-140952162 , `datasets` has a problematic version constraint on `fsspec`.
In our case this c... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/1687 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1687/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1687/comments | https://api.github.com/repos/huggingface/datasets/issues/1687/events | https://github.com/huggingface/datasets/issues/1687 | 779,004,894 | MDU6SXNzdWU3NzkwMDQ4OTQ= | 1,687 | Question: Shouldn't .info be a part of DatasetDict? | {
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"We could do something. There is a part of `.info` which is split specific (cache files, split instructions) but maybe if could be made to work.",
"Yes this was kinda the idea I was going for. DatasetDict.info would be the shared info amongs the datasets (maybe even some info on how they differ). "
] | 2021-01-05T13:08:41Z | 2021-01-07T10:18:06Z | null | null | CONTRIBUTOR | [] | null | null | {
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} | Currently, only `Dataset` contains the .info or .features, but as many datasets contains standard splits (train, test) and thus the underlying information is the same (or at least should be) across the datasets.
For instance:
```
>>> ds = datasets.load_dataset("conll2002", "es")
>>> ds.info
Traceback (most rece... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6545 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6545/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6545/comments | https://api.github.com/repos/huggingface/datasets/issues/6545/events | https://github.com/huggingface/datasets/issues/6545 | 2,060,789,507 | I_kwDODunzps561ScD | 6,545 | `image` column not automatically inferred if image dataset only contains 1 image | {
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} | ### Describe the bug
By default, the standard Image Dataset maps out `file_name` to `image` when loading an Image Dataset.
However, if the dataset contains only 1 image, this does not take place
### Steps to reproduce the bug
Input
(dataset with one image `multimodalart/repro_1_image`)
```py
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https://api.github.com/repos/huggingface/datasets/issues/6206 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6206/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6206/comments | https://api.github.com/repos/huggingface/datasets/issues/6206/events | https://github.com/huggingface/datasets/issues/6206 | 1,879,473,745 | I_kwDODunzps5wBn5R | 6,206 | When calling load_dataset, raise error: pyarrow.lib.ArrowInvalid: offset overflow while concatenating arrays | {
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"I solved the problem by modifying the \"self DEFAULT_WRITER_BATCH_SIZE\" in \"class MyDataset (datasets. GeneratorBasedBuilder) : __init__\"",
"same problem, and this solution worked me also - you can set this var by setting the keyword argument `writer_batch_size=...` in `load_dataset(...,writer_batch_size=...)... | 2023-09-04T04:14:00Z | 2024-04-17T15:53:29Z | 2023-09-04T06:05:49Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
When calling load_dataset, raise error
```
Traceback (most recent call last):
File "/home/aihao/miniconda3/envs/torch/lib/python3.11/site-packages/datasets/builder.py", line 1694, in _pre
pare_split_single ... | {
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https://api.github.com/repos/huggingface/datasets/issues/1741 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1741/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1741/comments | https://api.github.com/repos/huggingface/datasets/issues/1741/events | https://github.com/huggingface/datasets/issues/1741 | 787,327,060 | MDU6SXNzdWU3ODczMjcwNjA= | 1,741 | error when run fine_tuning on text_classification | {
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pretrained_model:bert-base-uncased
error description:
when i use these resoruce to train fine_tuning a text_classification on sem_eval_2014_task_1,there always be some problem(when i use other dataset ,there exist the error too). And i followed the colab code (url:https://colab.researc... | {
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https://api.github.com/repos/huggingface/datasets/issues/6387 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6387/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6387/comments | https://api.github.com/repos/huggingface/datasets/issues/6387/events | https://github.com/huggingface/datasets/issues/6387 | 1,980,224,020 | I_kwDODunzps52B9IU | 6,387 | How to load existing downloaded dataset ? | {
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"Feel free to use `dataset.save_to_disk(...)`, then scp the directory containing the saved dataset and reload it on your other machine using `dataset = load_from_disk(...)`"
] | 2023-11-06T22:51:44Z | 2023-11-16T18:07:01Z | 2023-11-16T18:07:01Z | null | NONE | [] | null | null | {
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} | Hi @mariosasko @lhoestq @katielink
Thanks for your contribution and hard work.
### Feature request
First, I download a dataset as normal by:
```
from datasets import load_dataset
dataset = load_dataset('username/data_name', cache_dir='data')
```
The dataset format in `data` directory will be:
```
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https://api.github.com/repos/huggingface/datasets/issues/4755 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4755/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4755/comments | https://api.github.com/repos/huggingface/datasets/issues/4755/events | https://github.com/huggingface/datasets/issues/4755 | 1,319,687,044 | I_kwDODunzps5OqNOE | 4,755 | Datasets.map causes incorrect overflow_to_sample_mapping when used with tokenizers and small batch size | {
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"I've built a minimal example that shows this bug without `n_proc`. It seems like it's a problem any way of using **tokenizers, `overflow_to_sample_mapping`, and Dataset.map, with a small batch size**:\r\n\r\n```\r\nimport datasets\r\nimport transformers\r\npretrained = 'deepset/tinyroberta-squad2'\r\ntokenizer = t... | 2022-07-27T14:54:11Z | 2023-12-13T19:34:43Z | null | null | NONE | [] | null | null | {
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} | ## Describe the bug
When using `tokenizer`, we can retrieve the field `overflow_to_sample_mapping`, since long samples will be overflown into multiple token sequences.
However, when tokenizing is done via `Dataset.map`, with `n_proc > 1`, the `overflow_to_sample_mapping` field is wrong. This seems to be because ea... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6033 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6033/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6033/comments | https://api.github.com/repos/huggingface/datasets/issues/6033/events | https://github.com/huggingface/datasets/issues/6033 | 1,804,482,051 | I_kwDODunzps5rjjYD | 6,033 | `map` function doesn't fully utilize `input_columns`. | {
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} | ### Describe the bug
I wanted to select only some columns of data.
And I thought that's why the argument `input_columns` exists.
What I expected is like this:
If there are ["a", "b", "c", "d"] columns, and if I set `input_columns=["a", "d"]`, the data will have only ["a", "d"] columns.
But it doesn't select co... | {
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https://api.github.com/repos/huggingface/datasets/issues/7215 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7215/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7215/comments | https://api.github.com/repos/huggingface/datasets/issues/7215/events | https://github.com/huggingface/datasets/issues/7215 | 2,579,942,939 | I_kwDODunzps6Zxs4b | 7,215 | Iterable dataset map with explicit features causes slowdown for Sequence features | {
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} | ### Describe the bug
When performing map, it's nice to be able to pass the new feature type, and indeed required by interleave and concatenate datasets.
However, this can cause a major slowdown for certain types of array features due to the features being re-encoded.
This is separate to the slowdown reported i... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/360 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/360/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/360/comments | https://api.github.com/repos/huggingface/datasets/issues/360/events | https://github.com/huggingface/datasets/issues/360 | 653,687,176 | MDU6SXNzdWU2NTM2ODcxNzY= | 360 | [Feature request] Add dataset.ragged_map() function for many-to-many transformations | {
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"Actually `map(batched=True)` can already change the size of the dataset.\r\nIt can accept examples of length `N` and returns a batch of length `M` (can be null or greater than `N`).\r\n\r\nI'll make that explicit in the doc that I'm currently writing.",
"You're two steps ahead of me :) In my testing, it also wor... | 2020-07-09T01:04:43Z | 2020-07-09T19:31:51Z | 2020-07-09T19:31:51Z | null | CONTRIBUTOR | [] | null | null | {
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} | `dataset.map()` enables one-to-one transformations. Input one example and output one example. This is helpful for tokenizing and cleaning individual lines.
`dataset.filter()` enables one-to-(one-or-none) transformations. Input one example and output either zero/one example. This is helpful for removing portions from t... | {
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https://api.github.com/repos/huggingface/datasets/issues/7148 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7148/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7148/comments | https://api.github.com/repos/huggingface/datasets/issues/7148/events | https://github.com/huggingface/datasets/issues/7148 | 2,523,833,413 | I_kwDODunzps6WbqRF | 7,148 | Bug: Error when downloading mteb/mtop_domain | {
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"Could you please try with `force_redownload` instead?\r\nEDIT:\r\n```python\r\ndata = load_dataset(\"mteb/mtop_domain\", \"en\", download_mode=\"force_redownload\")\r\n```",
"Seems the error is still there",
"I am not able to reproduce the issue:\r\n```python\r\nIn [1]: from datasets import load_dataset\r\n\r\... | 2024-09-13T04:09:39Z | 2024-09-14T15:11:35Z | 2024-09-14T15:11:35Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
When downloading the dataset "mteb/mtop_domain", ran into the following error:
```
Traceback (most recent call last):
File "/share/project/xzy/test/test_download.py", line 3, in <module>
data = load_dataset("mteb/mtop_domain", "en", trust_remote_code=True)
File "/opt/conda/lib/pytho... | {
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https://api.github.com/repos/huggingface/datasets/issues/5450 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5450/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5450/comments | https://api.github.com/repos/huggingface/datasets/issues/5450/events | https://github.com/huggingface/datasets/issues/5450 | 1,551,109,365 | I_kwDODunzps5cdAz1 | 5,450 | to_tf_dataset with a TF collator causes bizarrely persistent slowdown | {
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"wtf",
"Couldn't find what's causing this, this will need more investigation",
"A possible hint: The function it seems to be spending a lot of time in (when iterating over the original dataset) is `_get_mp` in the PIL JPEG decoder: \r\n![image](https://user-images.githubusercontent.com/12866554/214057267-c889f0... | 2023-01-20T16:08:37Z | 2023-02-13T14:13:34Z | 2023-02-13T14:13:34Z | null | MEMBER | [] | null | null | {
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} | ### Describe the bug
This will make more sense if you take a look at [a Colab notebook that reproduces this issue.](https://colab.research.google.com/drive/1rxyeciQFWJTI0WrZ5aojp4Ls1ut18fNH?usp=sharing)
Briefly, there are several datasets that, when you iterate over them with `to_tf_dataset` **and** a data colla... | {
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https://api.github.com/repos/huggingface/datasets/issues/6235 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6235/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6235/comments | https://api.github.com/repos/huggingface/datasets/issues/6235/events | https://github.com/huggingface/datasets/issues/6235 | 1,893,337,083 | I_kwDODunzps5w2gf7 | 6,235 | Support multiprocessing for download/extract nestedly | {
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} | ### Feature request
Current multiprocessing for download/extract is not done nestedly. For example, when processing SlimPajama, there is only 3 processes (for train/test/val), while there are many files inside these 3 folders
```
Downloading data files #0: 0%| | 0/1 [00:00<?, ?obj/s]
Downloading data f... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5269 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5269/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5269/comments | https://api.github.com/repos/huggingface/datasets/issues/5269/events | https://github.com/huggingface/datasets/issues/5269 | 1,456,485,799 | I_kwDODunzps5W0DWn | 5,269 | Shell completions | {
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"I don't think we need completion on the datasets-cli, since we're mainly developing huggingface-cli",
"I see."
] | 2022-11-19T13:48:59Z | 2022-11-21T15:06:15Z | 2022-11-21T15:06:14Z | null | NONE | [] | null | null | {
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} | ### Feature request
Like <https://github.com/huggingface/huggingface_hub/issues/1197>, datasets-cli maybe need it, too.
### Motivation
See above.
### Your contribution
Maybe. | {
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https://api.github.com/repos/huggingface/datasets/issues/2115 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2115/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2115/comments | https://api.github.com/repos/huggingface/datasets/issues/2115/events | https://github.com/huggingface/datasets/issues/2115 | 841,283,974 | MDU6SXNzdWU4NDEyODM5NzQ= | 2,115 | The datasets.map() implementation modifies the datatype of os.environ object | {
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} | In our testing, we noticed that the datasets.map() implementation is modifying the datatype of python os.environ object from '_Environ' to 'dict'.
This causes following function calls to fail as follows:
`
x = os.environ.get("TEST_ENV_VARIABLE_AFTER_dataset_map", default=None)
TypeError: get() takes... | {
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https://api.github.com/repos/huggingface/datasets/issues/3581 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3581/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3581/comments | https://api.github.com/repos/huggingface/datasets/issues/3581/events | https://github.com/huggingface/datasets/issues/3581 | 1,104,857,822 | I_kwDODunzps5B2sre | 3,581 | Unable to create a dataset from a parquet file in S3 | {
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"Hi ! Currently it only works with local paths, file-like objects are not supported yet"
] | 2022-01-15T21:34:16Z | 2022-02-14T08:52:57Z | null | null | NONE | [] | null | null | {
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Trying to create a dataset from a parquet file in S3.
## Steps to reproduce the bug
```python
import s3fs
from datasets import Dataset
s3 = s3fs.S3FileSystem(anon=False)
with s3.open(PATH_LTR_TOY_CLEAN_DATASET, 'rb') as s3file:
dataset = Dataset.from_parquet(s3file)
```
## Expe... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7117 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7117/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7117/comments | https://api.github.com/repos/huggingface/datasets/issues/7117/events | https://github.com/huggingface/datasets/issues/7117 | 2,476,555,659 | I_kwDODunzps6TnT2L | 7,117 | Audio dataset load everything in RAM and is very slow | {
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"Hi ! I think the issue comes from the fact that you return `row` entirely, and therefore the dataset has to re-encode the audio data in `row`.\r\n\r\nCan you try this instead ?\r\n\r\n```python\r\n# map the dataset\r\ndef transcribe_audio(row):\r\n audio = row[\"audio\"] # get the audio but do nothing with it\... | 2024-08-20T21:18:12Z | 2024-08-26T13:11:55Z | null | null | NONE | [] | null | null | {
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} | Hello, I'm working with an audio dataset. I want to transcribe the audio that the dataset contain, and for that I use whisper. My issue is that the dataset load everything in the RAM when I map the dataset, obviously, when RAM usage is too high, the program crashes.
To fix this issue, I'm using writer_batch_size tha... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/3433 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3433/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3433/comments | https://api.github.com/repos/huggingface/datasets/issues/3433/events | https://github.com/huggingface/datasets/issues/3433 | 1,080,910,724 | I_kwDODunzps5AbWOE | 3,433 | Add Multilingual Spoken Words dataset | {
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} | ## Adding a Dataset
- **Name:** Multilingual Spoken Words
- **Description:** Multilingual Spoken Words Corpus is a large and growing audio dataset of spoken words in 50 languages for academic research and commercial applications in keyword spotting and spoken term search, licensed under CC-BY 4.0. The dataset contain... | {
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https://api.github.com/repos/huggingface/datasets/issues/4374 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4374/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4374/comments | https://api.github.com/repos/huggingface/datasets/issues/4374/events | https://github.com/huggingface/datasets/issues/4374 | 1,241,860,535 | I_kwDODunzps5KBUm3 | 4,374 | extremely slow processing when using a custom dataset | {
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"Hi !\r\n\r\nMy guess is that some examples in your dataset are bigger than your RAM, and therefore loading them in RAM to pass them to `remove_non_indic_sentences` takes forever because it might use SWAP memory.\r\n\r\nMaybe several examples in your dataset are grouped together, can you check `len(lang_dataset[\"t... | 2022-05-19T14:18:05Z | 2023-07-25T15:07:17Z | 2023-07-25T15:07:16Z | null | NONE | [] | null | null | {
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} | {
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} | ## processing a custom dataset loaded as .txt file is extremely slow, compared to a dataset of similar volume from the hub
I have a large .txt file of 22 GB which i load into HF dataset
`lang_dataset = datasets.load_dataset("text", data_files="hi.txt")`
further i use a pre-processing function to clean the d... | {
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https://api.github.com/repos/huggingface/datasets/issues/5709 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5709/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5709/comments | https://api.github.com/repos/huggingface/datasets/issues/5709/events | https://github.com/huggingface/datasets/issues/5709 | 1,655,423,503 | I_kwDODunzps5iq8IP | 5,709 | Manually dataset info made not taken into account | {
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"hi @jplu ! Did I understand you correctly that you create the dataset, push it to the Hub with `.push_to_hub` and you see a `dataset_infos.json` file there, then you edit this file, load the dataset with `load_dataset` and you don't see any changes in `.info` attribute of a dataset object? \r\n\r\nThis is actually... | 2023-04-05T11:15:17Z | 2023-04-06T08:52:20Z | 2023-04-06T08:52:19Z | null | CONTRIBUTOR | [] | null | null | {
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} | ### Describe the bug
Hello,
I'm manually building an image dataset with the `from_dict` approach. I also build the features with the `cast_features` methods. Once the dataset is created I push it on the hub, and a default `dataset_infos.json` file seems to have been automatically added to the repo in same time. Hen... | {
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https://api.github.com/repos/huggingface/datasets/issues/4680 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4680/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4680/comments | https://api.github.com/repos/huggingface/datasets/issues/4680/events | https://github.com/huggingface/datasets/issues/4680 | 1,304,534,770 | I_kwDODunzps5NwZ7y | 4,680 | Dataset Viewer issue for codeparrot/xlcost-text-to-code | {
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"There seems to be an issue with the `C++-snippet-level` config:\r\n\r\n```python\r\n>>> from datasets import get_dataset_split_names\r\n>>> get_dataset_split_names(\"codeparrot/xlcost-text-to-code\", \"C++-snippet-level\")\r\nTraceback (most recent call last):\r\n File \"/home/slesage/hf/datasets-server/services/... | 2022-07-14T09:45:50Z | 2022-07-18T16:37:00Z | 2022-07-18T16:04:36Z | null | NONE | [] | null | null | {
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https://huggingface.co/datasets/codeparrot/xlcost-text-to-code
### Description
Error
```
Server Error
Status code: 400
Exception: TypeError
Message: 'NoneType' object is not iterable
```
Before I did a minor change in the dataset script (removing some comments), the viewer was working but... | {
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https://api.github.com/repos/huggingface/datasets/issues/6967 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6967/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6967/comments | https://api.github.com/repos/huggingface/datasets/issues/6967/events | https://github.com/huggingface/datasets/issues/6967 | 2,349,146,398 | I_kwDODunzps6MBSEe | 6,967 | Method to load Laion400m | {
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} | ### Feature request
Large datasets like Laion400m are provided as embeddings. The provided methods in load_dataset are not straightforward for loading embedding files, i.e. img_emb_XX.npy ; XX = 0 to 99
### Motivation
The trial and experimentation is the key pivot of HF. It would be great if HF can load embeddings... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2598 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2598/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2598/comments | https://api.github.com/repos/huggingface/datasets/issues/2598/events | https://github.com/huggingface/datasets/issues/2598 | 937,930,632 | MDU6SXNzdWU5Mzc5MzA2MzI= | 2,598 | Unable to download omp dataset | {
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"Hi @erikadistefano , thanks for reporting the issue.\r\n\r\nI have created a Pull Request that should fix it. \r\n\r\nOnce merged into master, feel free to update your installed `datasets` library (either by installing it from our GitHub master branch or waiting until our next release) to be able to load omp datas... | 2021-07-06T14:00:52Z | 2021-07-07T12:56:35Z | 2021-07-07T12:56:35Z | {
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} | ## Describe the bug
The omp dataset cannot be downloaded because of a DuplicatedKeysError
## Steps to reproduce the bug
from datasets import load_dataset
omp = load_dataset('omp', 'posts_labeled')
print(omp)
## Expected results
This code should download the omp dataset and print the dictionary
## Actual r... | {
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https://api.github.com/repos/huggingface/datasets/issues/3673 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3673/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3673/comments | https://api.github.com/repos/huggingface/datasets/issues/3673/events | https://github.com/huggingface/datasets/issues/3673 | 1,123,010,520 | I_kwDODunzps5C78fY | 3,673 | `load_dataset("snli")` is different from dataset viewer | {
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"Yes, we decided to replace the encoded label with the corresponding label when possible in the dataset viewer. But\r\n1. maybe it's the wrong default\r\n2. we could find a way to show both (with a switch, or showing both ie. `0 (neutral)`).\r\n",
"Hi @severo,\r\n\r\nThanks for clarifying. \r\n\r\nI think this de... | 2022-02-03T12:10:43Z | 2022-02-16T11:22:31Z | 2022-02-11T17:01:21Z | {
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} | ## Describe the bug
The dataset that is downloaded from the Hub via `load_dataset("snli")` is different from what is available in the dataset viewer. In the viewer the labels are not encoded (i.e., "neutral", "entailment", "contradiction"), while the downloaded dataset shows the encoded labels (i.e., 0, 1, 2).
Is t... | {
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https://api.github.com/repos/huggingface/datasets/issues/3272 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3272/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3272/comments | https://api.github.com/repos/huggingface/datasets/issues/3272/events | https://github.com/huggingface/datasets/issues/3272 | 1,053,516,479 | I_kwDODunzps4-y2K_ | 3,272 | Make iter_archive work with ZIP files | {
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"Hello, is this issue open for any contributor ? can I work on it ?\r\n\r\n",
"Hi ! Sure this is open for any contributor. If you're interested feel free to self-assign this issue to you by commenting `#self-assign`. Then if you have any question or if I can help, feel free to ping me.\r\n\r\nTo begin with, feel ... | 2021-11-15T10:50:42Z | 2021-11-25T00:08:47Z | null | {
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It would be nice if it could work with ZIP files too ! | null | {
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https://api.github.com/repos/huggingface/datasets/issues/3294 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3294/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3294/comments | https://api.github.com/repos/huggingface/datasets/issues/3294/events | https://github.com/huggingface/datasets/issues/3294 | 1,057,495,473 | I_kwDODunzps4_CBmx | 3,294 | Add Natural Adversarial Objects dataset | {
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- **Name:** Natural Adversarial Objects (NAO)
- **Description:** Natural Adversarial Objects (NAO) is a new dataset to evaluate the robustness of object detection models. NAO contains 7,934 images and 9,943 objects that are unmodified and representative of real-world scenarios, but cause state-of-... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5895 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5895/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5895/comments | https://api.github.com/repos/huggingface/datasets/issues/5895/events | https://github.com/huggingface/datasets/issues/5895 | 1,725,467,252 | I_kwDODunzps5m2Ip0 | 5,895 | The dir name and split strings are confused when loading ArmelR/stack-exchange-instruction dataset | {
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"Thanks for reporting, @DongHande.\r\n\r\nI think the issue is caused by the metadata in the dataset card: in the header of the `README.md`, they state that the dataset has 4 splits (\"finetune\", \"reward\", \"rl\", \"evaluation\"). \r\n```yaml\r\n splits:\r\n - name: finetune\r\n num_bytes: 6674567576\r\... | 2023-05-25T09:39:06Z | 2023-05-29T02:32:12Z | 2023-05-29T02:32:12Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
When I load the ArmelR/stack-exchange-instruction dataset, I encounter a bug that may be raised by confusing the dir name string and the split string about the dataset.
When I use the script "datasets.load_dataset('ArmelR/stack-exchange-instruction', data_dir="data/finetune", split="train", ... | {
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https://api.github.com/repos/huggingface/datasets/issues/3902 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3902/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3902/comments | https://api.github.com/repos/huggingface/datasets/issues/3902/events | https://github.com/huggingface/datasets/issues/3902 | 1,167,403,377 | I_kwDODunzps5FlSlx | 3,902 | Can't import datasets: partially initialized module 'fsspec' has no attribute 'utils' | {
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"Update: `\"python3 -c \"from from datasets import Dataset, DatasetDict\"` works, but not if I import without the `python3 -c`",
"Hi @arunasank, thanks for reporting.\r\n\r\nIt seems that this can be caused because you are using an old version of `fsspec`: the reason why it works if you run `python3` seems to be ... | 2022-03-12T21:22:03Z | 2023-02-09T14:53:49Z | 2022-03-22T07:10:41Z | {
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Unable to import datasets
## Steps to reproduce the bug
```python
from datasets import Dataset, DatasetDict
```
## Expected results
The import works without errors
## Actual results
```
AttributeError Traceback (most recent call last)
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https://api.github.com/repos/huggingface/datasets/issues/2522 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2522/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2522/comments | https://api.github.com/repos/huggingface/datasets/issues/2522/events | https://github.com/huggingface/datasets/issues/2522 | 925,334,379 | MDU6SXNzdWU5MjUzMzQzNzk= | 2,522 | Documentation Mistakes in Dataset: emotion | {
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"Hi,\r\n\r\nthis issue has been already reported in the dataset repo (https://github.com/dair-ai/emotion_dataset/issues/2), so this is a bug on their side.",
"The documentation has another bug in the dataset card [here](https://huggingface.co/datasets/emotion). \r\n\r\nIn the dataset summary **six** emotions are ... | 2021-06-19T07:08:57Z | 2023-01-02T12:04:58Z | 2023-01-02T12:04:58Z | null | NONE | [] | null | null | {
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Dataset: emotion
Homepage: https://github.com/dair-ai/emotion_dataset
Dataset: https://github.com/huggingface/datasets/blob/master/datasets/emotion/emotion.py
Permalink: https://huggingface.co/datasets/viewer/?dataset=emotion
Emotion is a dataset of English Twitter messages with eight b... | {
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https://api.github.com/repos/huggingface/datasets/issues/3495 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3495/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3495/comments | https://api.github.com/repos/huggingface/datasets/issues/3495/events | https://github.com/huggingface/datasets/issues/3495 | 1,089,983,632 | I_kwDODunzps5A99SQ | 3,495 | Add VoxLingua107 | {
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} | ## Adding a Dataset
- **Name:** VoxLingua107
- **Description:** VoxLingua107 is a speech dataset for training spoken language identification models.
- **Paper:** https://arxiv.org/abs/2011.12998
- **Data:** http://bark.phon.ioc.ee/voxlingua107/
- **Motivation:** 107 languages, totaling 6628 hours for the train sp... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/3622 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3622/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3622/comments | https://api.github.com/repos/huggingface/datasets/issues/3622/events | https://github.com/huggingface/datasets/issues/3622 | 1,112,831,661 | I_kwDODunzps5CVHat | 3,622 | Extend support for streaming datasets that use os.path.relpath | {
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This feature will also be useful to yield the relative path of audio or image files.
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"Hi @izaskr, thanks for reporting.\r\n\r\nHowever the traceback you joined does not correspond to the codec error message: it is about other error `NonMatchingSplitsSizesError`. Maybe you missed some important part of your traceback...\r\n\r\nI'm going to have a look at the dataset anyway...",
"Hi @izaskr, thanks... | 2021-07-20T10:13:20Z | 2021-07-21T17:02:21Z | 2021-07-21T13:11:58Z | {
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} | ## Describe the bug
A codec error is raised while loading the blog_authorship_corpus.
## Steps to reproduce the bug
```
from datasets import load_dataset
raw_datasets = load_dataset("blog_authorship_corpus")
```
## Expected results
Loading the dataset without errors.
## Actual results
An error simila... | {
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https://api.github.com/repos/huggingface/datasets/issues/1766 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1766/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1766/comments | https://api.github.com/repos/huggingface/datasets/issues/1766/events | https://github.com/huggingface/datasets/issues/1766 | 792,044,105 | MDU6SXNzdWU3OTIwNDQxMDU= | 1,766 | Issues when run two programs compute the same metrics | {
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"Hi ! To avoid collisions you can specify a `experiment_id` when instantiating your metric using `load_metric`. It will replace \"default_experiment\" with the experiment id that you provide in the arrow filename. \r\n\r\nAlso when two `experiment_id` collide we're supposed to detect it using our locking mechanism.... | 2021-01-22T14:22:55Z | 2021-02-02T10:38:06Z | 2021-02-02T10:38:06Z | null | NONE | [] | null | null | {
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} | I got the following error when running two different programs that both compute sacreblue metrics. It seems that both read/and/write to the same location (.cache/huggingface/metrics/sacrebleu/default/default_experiment-1-0.arrow) where it caches the batches:
```
File "train_matching_min.py", line 160, in <module>ch... | {
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https://api.github.com/repos/huggingface/datasets/issues/4876 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4876/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4876/comments | https://api.github.com/repos/huggingface/datasets/issues/4876/events | https://github.com/huggingface/datasets/issues/4876 | 1,348,202,678 | I_kwDODunzps5QW_C2 | 4,876 | Move DatasetInfo from `datasets_infos.json` to the YAML tags in `README.md` | {
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"also @osanseviero @Pierrci @SBrandeis potentially",
"Love this in principle 🚀 \r\n\r\nLet's keep in mind users might rely on `dataset_infos.json` already.\r\n\r\nI'm not convinced by the two-syntax solution, wouldn't it be simpler to have only one syntax with a `default` config for datasets with only one config... | 2022-08-23T16:16:41Z | 2022-10-03T09:11:13Z | 2022-10-03T09:11:13Z | {
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} | Currently there are two places to find metadata for datasets:
- datasets_infos.json, which contains **per dataset config**
- description
- citation
- license
- splits and sizes
- checksums of the data files
- feature types
- and more
- YAML tags, which contain
- license
- language
- trai... | {
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https://api.github.com/repos/huggingface/datasets/issues/188 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/188/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/188/comments | https://api.github.com/repos/huggingface/datasets/issues/188/events | https://github.com/huggingface/datasets/issues/188 | 623,890,430 | MDU6SXNzdWU2MjM4OTA0MzA= | 188 | When will the remaining math_dataset modules be added as dataset objects | {
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"On a similar note it would be nice to differentiate between train-easy, train-medium, and train-hard",
"Hi @tylerroost, we don't have a timeline for this at the moment.\r\nIf you want to give it a look we would be happy to review a PR on it.\r\nAlso, the library is one week old so everything is quite barebones, ... | 2020-05-24T15:46:52Z | 2020-05-24T18:53:48Z | 2020-05-24T18:53:48Z | null | NONE | [] | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5841 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5841/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5841/comments | https://api.github.com/repos/huggingface/datasets/issues/5841/events | https://github.com/huggingface/datasets/issues/5841 | 1,705,286,639 | I_kwDODunzps5lpJvv | 5,841 | Abusurdly slow on iteration | {
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"Hi ! You can try to use the [Image](https://huggingface.co/docs/datasets/v2.12.0/en/package_reference/main_classes#datasets.Image) type which [decodes images on-the-fly](https://huggingface.co/docs/datasets/v2.12.0/en/about_dataset_features#image-feature) into pytorch tensors :)\r\n\r\n```python\r\nds = Dataset.fr... | 2023-05-11T08:04:09Z | 2023-05-15T15:38:13Z | 2023-05-15T15:38:13Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
I am attempting to iterate through an image dataset, but I am encountering a significant slowdown in the iteration speed. In order to investigate this issue, I conducted the following experiment:
```python
a=torch.randn(100,224)
a=torch.stack([a] * 10000)
a.shape
# %%
ds=Dataset.from_d... | {
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https://api.github.com/repos/huggingface/datasets/issues/2550 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2550/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2550/comments | https://api.github.com/repos/huggingface/datasets/issues/2550/events | https://github.com/huggingface/datasets/issues/2550 | 930,951,287 | MDU6SXNzdWU5MzA5NTEyODc= | 2,550 | Allow for incremental cumulative metric updates in a distributed setup | {
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} | Currently, using a metric allows for one of the following:
- Per example/batch metrics
- Cumulative metrics over the whole data
What I'd like is to have an efficient way to get cumulative metrics over the examples/batches added so far, in order to display it as part of the progress bar during training/evaluation.
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https://api.github.com/repos/huggingface/datasets/issues/7355 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7355/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7355/comments | https://api.github.com/repos/huggingface/datasets/issues/7355/events | https://github.com/huggingface/datasets/issues/7355 | 2,768,958,211 | I_kwDODunzps6lCvMD | 7,355 | Not available datasets[audio] on python 3.13 | {
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"It looks like an issue with `numba` which can't be installed on 3.13 ? `numba` is a dependency of `librosa`, used to decode audio files",
"There seems that `uv` cannot resolve \n\n```bhas\nuv add -n datasets[audio] huggingface-hub[hf-transfer] transformers\n```\n\nThe problem is again `librosa` which depends on ... | 2025-01-04T18:37:08Z | 2025-06-28T00:26:19Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
This is the error I got, it seems numba package does not support python 3.13
PS C:\Users\sergi\Documents> pip install datasets[audio]
Defaulting to user installation because normal site-packages is not writeable
Collecting datasets[audio]
Using cached datasets-3.2.0-py3-none-any.whl.metada... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/409 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/409/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/409/comments | https://api.github.com/repos/huggingface/datasets/issues/409/events | https://github.com/huggingface/datasets/issues/409 | 659,128,611 | MDU6SXNzdWU2NTkxMjg2MTE= | 409 | train_test_split error: 'dict' object has no attribute 'deepcopy' | {
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"It was fixed in 2ddd18d139d3047c9c3abe96e1e7d05bb360132c.\r\nCould you pull the latest changes from master @morganmcg1 ?",
"Thanks @lhoestq, works fine now!"
] | 2020-07-17T10:36:28Z | 2020-07-21T14:34:52Z | 2020-07-21T14:34:52Z | {
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} | `train_test_split` is giving me an error when I try and call it:
`'dict' object has no attribute 'deepcopy'`
## To reproduce
```
dataset = load_dataset('glue', 'mrpc', split='train')
dataset = dataset.train_test_split(test_size=0.2)
```
## Full Stacktrace
```
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https://api.github.com/repos/huggingface/datasets/issues/6475 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6475/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6475/comments | https://api.github.com/repos/huggingface/datasets/issues/6475/events | https://github.com/huggingface/datasets/issues/6475 | 2,027,373,734 | I_kwDODunzps5410Sm | 6,475 | laion2B-en failed to load on Windows with PrefetchVirtualMemory failed | {
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"~~You will see this error if the cache dir filepath contains relative `..` paths. Use `os.path.realpath(_CACHE_DIR)` before passing it to the `load_dataset` function.~~",
"This is a real issue and not related to paths.",
"Based on the StackOverflow answer, this causes the error to go away:\r\n```diff\r\ndiff -... | 2023-12-06T00:07:34Z | 2023-12-06T23:26:23Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
I have downloaded laion2B-en, and I'm receiving the following error trying to load it:
```
Resolving data files: 100%|██████████| 128/128 [00:00<00:00, 1173.79it/s]
Traceback (most recent call last):
File "D:\Art-Workspace\src\artworkspace\tokeneval\compute_frequencies.py", line 31, in <mo... | {
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https://api.github.com/repos/huggingface/datasets/issues/326 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/326/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/326/comments | https://api.github.com/repos/huggingface/datasets/issues/326/events | https://github.com/huggingface/datasets/issues/326 | 648,126,103 | MDU6SXNzdWU2NDgxMjYxMDM= | 326 | Large dataset in Squad2-format | {
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"I'm pretty sure you can get some inspiration from the squad_v2 script. It looks like the dataset is quite big so it will take some time for the users to generate it, but it should be reasonable.\r\n\r\nAlso you are saying that you are still making the dataset grow in size right ?\r\nIt's probably good practice to ... | 2020-06-30T12:18:59Z | 2020-07-09T09:01:50Z | 2020-07-09T09:01:50Z | null | CONTRIBUTOR | [] | null | null | {
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} | At the moment we are building an large question answering dataset and think about sharing it with the huggingface community.
Caused the computing power we splitted it into multiple tiles, but they are all in the same format.
Right now the most important facts about are this:
- Contexts: 1.047.671
- questions: 1.677... | {
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https://api.github.com/repos/huggingface/datasets/issues/3656 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3656/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3656/comments | https://api.github.com/repos/huggingface/datasets/issues/3656/events | https://github.com/huggingface/datasets/issues/3656 | 1,120,510,823 | I_kwDODunzps5CyaNn | 3,656 | checksum error subjqa dataset | {
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"Hi @RensDimmendaal, \r\n\r\nI'm sorry but I can't reproduce your bug:\r\n```python\r\nIn [1]: from datasets import load_dataset\r\n ...: ds = load_dataset(\"subjqa\", \"electronics\")\r\nDownloading builder script: 9.15kB [00:00, 4.10MB/s] ... | 2022-02-01T10:53:33Z | 2022-02-10T10:56:59Z | 2022-02-10T10:56:38Z | {
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} | ## Describe the bug
I get a checksum error when loading the `subjqa` dataset (used in the transformers book).
## Steps to reproduce the bug
```python
from datasets import load_dataset
subjqa = load_dataset("subjqa","electronics")
```
## Expected results
Loading the dataset
## Actual results
```
---... | {
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https://api.github.com/repos/huggingface/datasets/issues/242 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/242/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/242/comments | https://api.github.com/repos/huggingface/datasets/issues/242/events | https://github.com/huggingface/datasets/issues/242 | 631,733,683 | MDU6SXNzdWU2MzE3MzM2ODM= | 242 | UnicodeDecodeError when downloading GLUE-MNLI | {
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"It should be good now, thanks for noticing and fixing it ! I would say that it was because you are on windows but not 100% sure",
"On Windows Python supports Unicode almost everywhere, but one of the notable exceptions is open() where it uses the locale encoding schema. So platform independent python scripts wou... | 2020-06-05T16:30:01Z | 2020-06-09T16:06:47Z | 2020-06-08T08:45:03Z | null | CONTRIBUTOR | [] | null | null | {
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} | When I run
```python
dataset = nlp.load_dataset('glue', 'mnli')
```
I get an encoding error (could it be because I'm using Windows?) :
```python
# Lots of error log lines later...
~\Miniconda3\envs\nlp\lib\site-packages\tqdm\std.py in __iter__(self)
1128 try:
-> 1129 for obj in iterable:... | {
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https://api.github.com/repos/huggingface/datasets/issues/4146 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4146/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4146/comments | https://api.github.com/repos/huggingface/datasets/issues/4146/events | https://github.com/huggingface/datasets/issues/4146 | 1,200,215,789 | I_kwDODunzps5Hidbt | 4,146 | SAMSum dataset viewer not working | {
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"https://huggingface.co/datasets/samsum\r\n\r\n```\r\nStatus code: 400\r\nException: ValueError\r\nMessage: Cannot seek streaming HTTP file\r\n```",
"Currently, only the datasets that can be streamed support the dataset viewer. Maybe @lhoestq @albertvillanova or @mariosasko could give more details abo... | 2022-04-11T16:22:57Z | 2022-04-29T16:26:09Z | 2022-04-29T16:26:09Z | {
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} | {
"blocked_by": 0,
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} | ## Dataset viewer issue for '*name of the dataset*'
**Link:** *link to the dataset viewer page*
*short description of the issue*
Am I the one who added this dataset ? Yes-No
| {
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https://api.github.com/repos/huggingface/datasets/issues/900 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/900/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/900/comments | https://api.github.com/repos/huggingface/datasets/issues/900/events | https://github.com/huggingface/datasets/issues/900 | 752,214,066 | MDU6SXNzdWU3NTIyMTQwNjY= | 900 | datasets.load_dataset() custom chaching directory bug | {
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"Thanks for reporting ! I'm looking into it."
] | 2020-11-27T12:18:53Z | 2020-11-29T22:48:53Z | 2020-11-29T22:48:53Z | {
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} | Hello,
I'm having issue with loading a dataset with a custom `cache_dir`. Despite specifying the output dir, it is still downloaded to
`~/.cache`.
## Environment info
- `datasets` version: 1.1.3
- Platform: Linux-4.19.129-aufs-1-x86_64-with-debian-10.1
- Python version: 3.7.3
## The code I'm running:
```p... | {
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https://api.github.com/repos/huggingface/datasets/issues/426 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/426/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/426/comments | https://api.github.com/repos/huggingface/datasets/issues/426/events | https://github.com/huggingface/datasets/issues/426 | 664,203,897 | MDU6SXNzdWU2NjQyMDM4OTc= | 426 | [FEATURE REQUEST] Multiprocessing with for dataset.map, dataset.filter | {
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"Yes that's definitely something we plan to add ^^",
"Yes, that would be nice. We could take a look at what tensorflow `tf.data` does under the hood for instance.",
"So `tf.data.Dataset.map()` returns a `ParallelMapDataset` if `num_parallel_calls is not None` [link](https://github.com/tensorflow/tensorflow/blob... | 2020-07-23T05:00:41Z | 2021-03-12T09:34:12Z | 2020-09-07T14:48:04Z | null | NONE | [] | null | null | {
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} | It would be nice to be able to speed up `dataset.map` or `dataset.filter`. Perhaps this is as easy as sharding the dataset sending each shard to a process/thread/dask pool and using the new `nlp.concatenate_dataset()` function to join them all together? | {
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https://api.github.com/repos/huggingface/datasets/issues/4960 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4960/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4960/comments | https://api.github.com/repos/huggingface/datasets/issues/4960/events | https://github.com/huggingface/datasets/issues/4960 | 1,368,035,159 | I_kwDODunzps5Rio9X | 4,960 | BioASQ AttributeError: 'BuilderConfig' object has no attribute 'schema' | {
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"color": "2edb81",
"default": false,
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"id": 2067388877,
"name": "dataset bug",
"node_id": "MDU6TGFiZWwyMDY3Mzg4ODc3",
"url": "https://api.github.com/repos/huggingface/datasets/labels/dataset%20bug"
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"Following worked:\r\n\r\n```\r\ndata_dir = \"/Users/dlituiev/repos/datasets/bioasq/\"\r\nbioasq_task_b = load_dataset(\"aps/bioasq_task_b\", data_dir=data_dir, name=\"bioasq_9b_source\")\r\n```\r\n\r\nWould maintainers be open to one of the following:\r\n- automating this with a latest default config (e.g. `bioas... | 2022-09-09T16:06:43Z | 2022-09-13T08:51:03Z | null | null | NONE | [] | null | null | {
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} | ## Describe the bug
I am trying to load a dataset from drive and running into an error.
## Steps to reproduce the bug
```python
data_dir = "/Users/dlituiev/repos/datasets/bioasq/BioASQ-training9b"
bioasq_task_b = load_dataset("aps/bioasq_task_b", data_dir=data_dir)
```
## Actual results
`AttributeError: ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2899 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2899/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2899/comments | https://api.github.com/repos/huggingface/datasets/issues/2899/events | https://github.com/huggingface/datasets/issues/2899 | 994,082,432 | MDU6SXNzdWU5OTQwODI0MzI= | 2,899 | Dataset | {
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{
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} | ## Adding a Dataset
- **Name:** *name of the dataset*
- **Description:** *short description of the dataset (or link to social media or blog post)*
- **Paper:** *link to the dataset paper if available*
- **Data:** *link to the Github repository or current dataset location*
- **Motivation:** *what are some good reasons t... | {
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https://api.github.com/repos/huggingface/datasets/issues/5722 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5722/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5722/comments | https://api.github.com/repos/huggingface/datasets/issues/5722/events | https://github.com/huggingface/datasets/issues/5722 | 1,659,837,510 | I_kwDODunzps5i7xxG | 5,722 | Distributed Training Error on Customized Dataset | {
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"Hmm the error doesn't seem related to data loading.\r\n\r\nRegarding `split_dataset_by_node`: it's generally used to split an iterable dataset (e.g. when streaming) in pytorch DDP. It's not needed if you use a regular dataset since the pytorch DataLoader already assigns a subset of the dataset indices to each node... | 2023-04-09T11:04:59Z | 2023-07-24T14:50:46Z | 2023-07-24T14:50:46Z | null | NONE | [] | null | null | {
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} | Hi guys, recently I tried to use `datasets` to train a dual encoder.
I finish my own datasets according to the nice [tutorial](https://huggingface.co/docs/datasets/v2.11.0/en/dataset_script)
Here are my code:
```python
class RetrivalDataset(datasets.GeneratorBasedBuilder):
"""CrossEncoder dataset."""
B... | {
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https://api.github.com/repos/huggingface/datasets/issues/117 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/117/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/117/comments | https://api.github.com/repos/huggingface/datasets/issues/117/events | https://github.com/huggingface/datasets/issues/117 | 618,632,573 | MDU6SXNzdWU2MTg2MzI1NzM= | 117 | ❓ How to remove specific rows of a dataset ? | {
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"Hi, you can't do that at the moment.",
"Can you do it by now? Coz it would be awfully helpful!",
"you can convert dataset object to pandas and remove a feature and convert back to dataset .",
"That's what I ended up doing too. but it feels like a workaround to a feature that should be added to the datasets c... | 2020-05-15T01:25:06Z | 2022-07-15T08:36:44Z | 2020-05-15T07:04:32Z | null | NONE | [] | null | null | {
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} | I saw on the [example notebook](https://colab.research.google.com/github/huggingface/nlp/blob/master/notebooks/Overview.ipynb#scrollTo=efFhDWhlvSVC) how to remove a specific column :
```python
dataset.drop('id')
```
But I didn't find how to remove a specific row.
**For example, how can I remove all sample w... | {
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https://api.github.com/repos/huggingface/datasets/issues/5085 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5085/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5085/comments | https://api.github.com/repos/huggingface/datasets/issues/5085/events | https://github.com/huggingface/datasets/issues/5085 | 1,400,113,569 | I_kwDODunzps5TdAmh | 5,085 | Filtering on an empty dataset returns a corrupted dataset. | {
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"~~It seems like #5043 fix (merged recently) is the root cause of such behaviour. When we empty indices mapping (because the dataset length equals to zero), we can no longer get column item like: `ds_filter_2['sentence']` which uses\r\n`ds_filter_1._indices.column(0)`~~\r\n\r\n**UPDATE:**\r\nEmpty datasets are retu... | 2022-10-06T18:18:49Z | 2022-10-07T19:06:02Z | 2022-10-07T18:40:26Z | {
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} | ## Describe the bug
When filtering a dataset twice, where the first result is an empty dataset, the second dataset seems corrupted.
## Steps to reproduce the bug
```python
datasets = load_dataset("glue", "sst2")
dataset_split = datasets['validation']
ds_filter_1 = dataset_split.filter(lambda x: False) # ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6261 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6261/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6261/comments | https://api.github.com/repos/huggingface/datasets/issues/6261/events | https://github.com/huggingface/datasets/issues/6261 | 1,913,813,178 | I_kwDODunzps5yEni6 | 6,261 | Can't load a dataset | {
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"I believe is due to the fact that doesn't work with .tgz files.",
"`JourneyDB/JourneyDB` is a gated dataset, so this error means you are not authenticated to access it, either by using an invalid token or by not agreeing to the terms in the dialog on the dataset page.\r\n\r\n> I believe is due to the fact that d... | 2023-09-26T15:46:25Z | 2023-10-05T10:23:23Z | 2023-10-05T10:23:22Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
Can't seem to load the JourneyDB dataset.
It throws the following error:
```
---------------------------------------------------------------------------
FileNotFoundError Traceback (most recent call last)
Cell In[15], line 2
1 # If the dataset is gated/priv... | {
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https://api.github.com/repos/huggingface/datasets/issues/6363 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6363/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6363/comments | https://api.github.com/repos/huggingface/datasets/issues/6363/events | https://github.com/huggingface/datasets/issues/6363 | 1,968,891,277 | I_kwDODunzps51WuWN | 6,363 | dataset.transform() hangs indefinitely while finetuning the stable diffusion XL | {
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"I think the code hangs on the `accelerator.main_process_first()` context manager exit. To verify this, you can append a print statement to the end of the `accelerator.main_process_first()` block. \r\n\r\n\r\nIf the problem is in `with_transform`, it would help if you could share the error stack trace printed when... | 2023-10-30T17:34:05Z | 2023-11-22T00:29:21Z | 2023-11-22T00:29:21Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
Multi-GPU fine-tuning the stable diffusion X by following https://github.com/huggingface/diffusers/blob/main/examples/text_to_image/README_sdxl.md hangs indefinitely.
### Steps to reproduce the bug
accelerate launch train_text_to_image_sdxl.py --pretrained_model_name_or_path=$MODEL_NAME --... | {
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https://api.github.com/repos/huggingface/datasets/issues/7109 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7109/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7109/comments | https://api.github.com/repos/huggingface/datasets/issues/7109/events | https://github.com/huggingface/datasets/issues/7109 | 2,473,367,848 | I_kwDODunzps6TbJko | 7,109 | ConnectionError for gated datasets and unauthenticated users | {
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We should remove the dead code and properly handle this case: currently we are raising a `Connect... | {
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https://api.github.com/repos/huggingface/datasets/issues/6012 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6012/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6012/comments | https://api.github.com/repos/huggingface/datasets/issues/6012/events | https://github.com/huggingface/datasets/issues/6012 | 1,795,575,432 | I_kwDODunzps5rBk6I | 6,012 | [FR] Transform Chaining, Lazy Mapping | {
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"You can use `with_transform` to get a new dataset object.\r\n\r\nSupport for lazy `map` has already been discussed [here](https://github.com/huggingface/datasets/issues/3385) a little bit. Personally, I'm not a fan, as this would make `map` even more complex. ",
"> You can use `with_transform` to get a new datas... | 2023-07-09T21:40:21Z | 2025-01-20T14:06:28Z | null | null | CONTRIBUTOR | [] | null | null | {
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} | ### Feature request
Currently using a `map` call processes and duplicates the whole dataset, which takes both time and disk space.
The solution is to allow lazy mapping, which is essentially a saved chain of transforms that are applied on the fly whenever a slice of the dataset is requested.
The API should look ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/3598 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3598/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3598/comments | https://api.github.com/repos/huggingface/datasets/issues/3598/events | https://github.com/huggingface/datasets/issues/3598 | 1,108,107,199 | I_kwDODunzps5CDF-_ | 3,598 | Readme info not being parsed to show on Dataset card page | {
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"i suspect a markdown parsing error, @severo do you want to take a quick look at it when you have some time?",
"# Problem\r\nThe issue seems to coming from the front matter of the README\r\n```---\r\nannotations_creators:\r\n- no-annotation\r\nlanguage_creators:\r\n- machine-generated\r\nlanguages:\r\n- 'ca'\r\n-... | 2022-01-19T13:32:29Z | 2022-01-21T10:20:01Z | 2022-01-21T10:20:01Z | null | NONE | [] | null | null | {
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} | ## Describe the bug
The info contained in the README.md file is not being shown in the dataset main page. Basic info and table of contents are properly formatted in the README.
## Steps to reproduce the bug
# Sample code to reproduce the bug
The README file is this one: https://huggingface.co/datasets/softcatal... | {
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https://api.github.com/repos/huggingface/datasets/issues/1958 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1958/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1958/comments | https://api.github.com/repos/huggingface/datasets/issues/1958/events | https://github.com/huggingface/datasets/issues/1958 | 818,037,548 | MDU6SXNzdWU4MTgwMzc1NDg= | 1,958 | XSum dataset download link broken | {
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"Never mind, I ran it again and it worked this time. Strange."
] | 2021-02-27T21:47:56Z | 2021-02-27T21:50:16Z | 2021-02-27T21:50:16Z | null | NONE | [] | null | null | {
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```
from datasets import load_dataset
dataset = load_dataset("xsum")
```
This returns
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https://api.github.com/repos/huggingface/datasets/issues/5962 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5962/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5962/comments | https://api.github.com/repos/huggingface/datasets/issues/5962/events | https://github.com/huggingface/datasets/issues/5962 | 1,761,589,882 | I_kwDODunzps5o_7p6 | 5,962 | Issue with train_test_split maintaining the same underlying PyArrow Table | {
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} | ### Describe the bug
I've been using the train_test_split method in the datasets module to split my HuggingFace Dataset into separate training, validation, and testing subsets. However, I've noticed an issue where the split datasets appear to maintain the same underlying PyArrow Table.
### Steps to reproduce the bug
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https://api.github.com/repos/huggingface/datasets/issues/7546 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7546/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7546/comments | https://api.github.com/repos/huggingface/datasets/issues/7546/events | https://github.com/huggingface/datasets/issues/7546 | 3,034,018,298 | I_kwDODunzps6013H6 | 7,546 | Large memory use when loading large datasets to a ZFS pool | {
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"Hi ! datasets are memory mapped from disk, so they don't fill out your RAM. Not sure what's the source of your memory issue.\n\nWhat kind of system are you using ? and what kind of disk ?",
"Well, the fact of the matter is that my RAM is getting filled out by running the given example, as shown in [this video](h... | 2025-05-01T14:43:47Z | 2025-05-13T13:30:09Z | 2025-05-13T13:29:53Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
When I load large parquet based datasets from the hub like `MLCommons/peoples_speech` using `load_dataset`, all my memory (500GB) is used and isn't released after loading, meaning that the process is terminated by the kernel if I try to load an additional dataset. This makes it impossible to train... | {
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https://api.github.com/repos/huggingface/datasets/issues/7515 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7515/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7515/comments | https://api.github.com/repos/huggingface/datasets/issues/7515/events | https://github.com/huggingface/datasets/issues/7515 | 2,995,082,418 | I_kwDODunzps6yhVSy | 7,515 | `concatenate_datasets` does not preserve Pytorch format for IterableDataset | {
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"Hi ! Oh indeed it would be cool to return the same format in that case. Would you like to submit a PR ? The function that does the concatenation is here:\n\nhttps://github.com/huggingface/datasets/blob/90e5bf8a8599b625d6103ee5ac83b98269991141/src/datasets/iterable_dataset.py#L3375-L3380",
"Thank you for the poin... | 2025-04-15T04:36:34Z | 2025-05-19T15:07:38Z | 2025-05-19T15:07:38Z | null | CONTRIBUTOR | [] | null | null | {
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} | ### Describe the bug
When concatenating datasets with `concatenate_datasets`, I would expect the resulting combined dataset to be in the same format as the inputs (assuming it's consistent). This is indeed the behavior when combining `Dataset`, but not when combining `IterableDataset`. Specifically, when applying `con... | {
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https://api.github.com/repos/huggingface/datasets/issues/6207 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6207/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6207/comments | https://api.github.com/repos/huggingface/datasets/issues/6207/events | https://github.com/huggingface/datasets/issues/6207 | 1,879,555,234 | I_kwDODunzps5wB7yi | 6,207 | No-script datasets with ZIP files do not load | {
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} | While investigating an issue on a Hub dataset, I have discovered the no-script datasets containing ZIP files do not load.
For example, that no-script dataset containing ZIP files, raises NonMatchingSplitsSizesError:
```python
In [2]: ds = load_dataset("sidovic/LearningQ-qg")
NonMatchingSplitsSizesError: [
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https://api.github.com/repos/huggingface/datasets/issues/1937 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1937/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1937/comments | https://api.github.com/repos/huggingface/datasets/issues/1937/events | https://github.com/huggingface/datasets/issues/1937 | 815,163,943 | MDU6SXNzdWU4MTUxNjM5NDM= | 1,937 | CommonGen dataset page shows an error OSError: [Errno 28] No space left on device | {
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"Facing the same issue for [Squad](https://huggingface.co/datasets/viewer/?dataset=squad) and [TriviaQA](https://huggingface.co/datasets/viewer/?dataset=trivia_qa) datasets as well.",
"We just fixed the issue, thanks for reporting !"
] | 2021-02-24T06:47:33Z | 2021-02-26T11:10:06Z | 2021-02-26T11:10:06Z | null | CONTRIBUTOR | [] | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/3677 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3677/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3677/comments | https://api.github.com/repos/huggingface/datasets/issues/3677/events | https://github.com/huggingface/datasets/issues/3677 | 1,123,192,866 | I_kwDODunzps5C8pAi | 3,677 | Discovery cannot be streamed anymore | {
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"Seems like a regression from https://github.com/huggingface/datasets/pull/2843\r\n\r\nOr maybe it's an issue with the hosting. I don't think so, though, because https://www.dropbox.com/s/aox84z90nyyuikz/discovery.zip seems to work as expected\r\n\r\n",
"Hi @severo, thanks for reporting.\r\n\r\nSome servers do no... | 2022-02-03T15:02:03Z | 2022-02-10T16:51:24Z | 2022-02-10T16:51:24Z | {
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} | ## Describe the bug
A clear and concise description of what the bug is.
## Steps to reproduce the bug
```python
from datasets import load_dataset
iterable_dataset = load_dataset("discovery", name="discovery", split="train", streaming=True)
list(iterable_dataset.take(1))
```
## Expected results
The first ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5445 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5445/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5445/comments | https://api.github.com/repos/huggingface/datasets/issues/5445/events | https://github.com/huggingface/datasets/issues/5445 | 1,550,588,703 | I_kwDODunzps5cbBsf | 5,445 | CI tests are broken: AttributeError: 'mappingproxy' object has no attribute 'target' | {
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```
...
ERROR tests/test_streaming_download_manager.py::TestxPath::test_xpath_rglob[mock://top_level-date=2019-10-0[1-4]/*-expected_path... | {
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https://api.github.com/repos/huggingface/datasets/issues/7427 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7427/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7427/comments | https://api.github.com/repos/huggingface/datasets/issues/7427/events | https://github.com/huggingface/datasets/issues/7427 | 2,886,032,571 | I_kwDODunzps6sBVy7 | 7,427 | Error splitting the input into NAL units. | {
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"First time I see this error :/ maybe it's an issue with your version of `multiprocess` and `dill` ? Make sure they are compatible with `datasets`",
"> First time I see this error :/ maybe it's an issue with your version of `multiprocess` and `dill` ? Make sure they are compatible with `datasets`\n\nany recommend... | 2025-02-28T02:30:15Z | 2025-03-04T01:40:28Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
I am trying to finetune qwen2.5-vl on 16 * 80G GPUS, and I use `LLaMA-Factory` and set `preprocessing_num_workers=16`. However, I met the following error and the program seem to got crush. It seems that the error come from `datasets` library
The error logging is like following:
```text
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https://api.github.com/repos/huggingface/datasets/issues/2055 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2055/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2055/comments | https://api.github.com/repos/huggingface/datasets/issues/2055/events | https://github.com/huggingface/datasets/issues/2055 | 831,684,312 | MDU6SXNzdWU4MzE2ODQzMTI= | 2,055 | is there a way to override a dataset object saved with save_to_disk? | {
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"Hi\r\nYou can rename the arrow file and update the name in `state.json`",
"I tried this way, but when there is a mapping process to the dataset, it again uses a random cache name. atm, I am trying to use the following method by setting an exact cache file,\r\n\r\n```\r\n dataset_with_embedding =csv_da... | 2021-03-15T10:50:53Z | 2021-03-22T04:06:17Z | 2021-03-22T04:06:17Z | null | NONE | [] | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/4117 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4117/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4117/comments | https://api.github.com/repos/huggingface/datasets/issues/4117/events | https://github.com/huggingface/datasets/issues/4117 | 1,195,552,406 | I_kwDODunzps5HQq6W | 4,117 | AttributeError: module 'huggingface_hub' has no attribute 'hf_api' | {
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"Hi @arymbe, thanks for reporting.\r\n\r\nUnfortunately, I'm not able to reproduce your problem.\r\n\r\nCould you please write the complete stack trace? That way we will be able to see which package originates the exception.",
"Hello, thank you for your fast replied. this is the complete error that I got\r\n\r\n-... | 2022-04-07T05:52:36Z | 2024-05-07T09:24:35Z | 2022-04-19T15:36:35Z | {
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} | ## Describe the bug
Could you help me please. I got this following error.
AttributeError: module 'huggingface_hub' has no attribute 'hf_api'
## Steps to reproduce the bug
when I imported the datasets
# Sample code to reproduce the bug
from datasets import list_datasets, load_dataset, list_metrics, load_metr... | {
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https://api.github.com/repos/huggingface/datasets/issues/5597 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5597/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5597/comments | https://api.github.com/repos/huggingface/datasets/issues/5597/events | https://github.com/huggingface/datasets/issues/5597 | 1,604,928,721 | I_kwDODunzps5fqUTR | 5,597 | in-place dataset update | {
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"We won't support in-place modifications since `datasets` is based on the Apache Arrow format which doesn't support in-place modifications.\r\n\r\nIn your case the old dataset is garbage collected pretty quickly so you won't have memory issues.\r\n\r\nNote that datasets loaded from disk (memory mapped) are not load... | 2023-03-01T12:58:18Z | 2023-03-02T13:30:41Z | 2023-03-02T03:47:00Z | null | NONE | [] | null | null | {
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} | ### Motivation
For the circumstance that I creat an empty `Dataset` and keep appending new rows into it, I found that it leads to creating a new dataset at each call. It looks quite memory-consuming. I just wonder if there is any more efficient way to do this.
```python
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ds = Datas... | {
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https://api.github.com/repos/huggingface/datasets/issues/4032 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4032/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4032/comments | https://api.github.com/repos/huggingface/datasets/issues/4032/events | https://github.com/huggingface/datasets/issues/4032 | 1,182,595,697 | I_kwDODunzps5GfPpx | 4,032 | can't download cats_vs_dogs dataset | {
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"Thnaks for reporting @RRaphaell.\r\n\r\nWe are fixing it. "
] | 2022-03-27T17:05:39Z | 2022-03-28T07:44:24Z | 2022-03-28T07:44:24Z | {
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} | ## Describe the bug
can't download cats_vs_dogs dataset. error: Checksums didn't match for dataset source files
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset("cats_vs_dogs")
```
## Expected results
loaded successfully.
## Actual results
NonMatchingCheck... | {
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https://api.github.com/repos/huggingface/datasets/issues/7055 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7055/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7055/comments | https://api.github.com/repos/huggingface/datasets/issues/7055/events | https://github.com/huggingface/datasets/issues/7055 | 2,421,708,891 | I_kwDODunzps6QWFhb | 7,055 | WebDataset with different prefixes are unsupported | {
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"Since `datasets` uses is built on Arrow to store the data, it requires each sample to have the same columns.\r\n\r\nThis can be fixed by specifyign in advance the name of all the possible columns in the `dataset_info` in YAML, and missing values will be `None`",
"Thanks. This currently doesn't work for WebDatase... | 2024-07-22T01:14:19Z | 2024-07-24T13:26:30Z | 2024-07-23T13:28:46Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
Consider a WebDataset with multiple images for each item where the number of images may vary: [example](https://huggingface.co/datasets/bigdata-pw/fashion-150k)
Due to this [code](https://github.com/huggingface/datasets/blob/87f4c2088854ff33e817e724e75179e9975c1b02/src/datasets/packaged_modules... | {
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https://api.github.com/repos/huggingface/datasets/issues/7286 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7286/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7286/comments | https://api.github.com/repos/huggingface/datasets/issues/7286/events | https://github.com/huggingface/datasets/issues/7286 | 2,645,350,151 | I_kwDODunzps6drNcH | 7,286 | Concurrent loading in `load_from_disk` - `num_proc` as a param | {
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} | ### Feature request
https://github.com/huggingface/datasets/pull/6464 mentions a `num_proc` param while loading dataset from disk, but can't find that in the documentation and code anywhere
### Motivation
Make loading large datasets from disk faster
### Your contribution
Happy to contribute if given pointers | {
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https://api.github.com/repos/huggingface/datasets/issues/2768 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2768/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2768/comments | https://api.github.com/repos/huggingface/datasets/issues/2768/events | https://github.com/huggingface/datasets/issues/2768 | 963,229,173 | MDU6SXNzdWU5NjMyMjkxNzM= | 2,768 | `ArrowInvalid: Added column's length must match table's length.` after using `select` | {
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"Hi,\r\n\r\nthe `select` method creates an indices mapping and doesn't modify the underlying PyArrow table by default for better performance. To modify the underlying table after the `select` call, call `flatten_indices` on the dataset object as follows:\r\n```python\r\nfrom datasets import load_dataset\r\n\r\nds =... | 2021-08-07T13:17:29Z | 2026-03-24T08:19:25Z | 2021-08-09T11:26:43Z | null | MEMBER | [] | null | null | {
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I would like to add a column to a downsampled dataset. However I get an error message saying the length don't match with the length of the unsampled dataset indicated. I suspect that the dataset size is not updated when calling `select`.
## Steps to reproduce the bug
```python
from datasets im... | {
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https://api.github.com/repos/huggingface/datasets/issues/6384 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6384/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6384/comments | https://api.github.com/repos/huggingface/datasets/issues/6384/events | https://github.com/huggingface/datasets/issues/6384 | 1,979,117,069 | I_kwDODunzps519u4N | 6,384 | Load the local dataset folder from other place | {
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https://api.github.com/repos/huggingface/datasets/issues/7633 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7633/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7633/comments | https://api.github.com/repos/huggingface/datasets/issues/7633/events | https://github.com/huggingface/datasets/issues/7633 | 3,168,399,637 | I_kwDODunzps682fEV | 7,633 | Proposal: Small Tamil Discourse Coherence Dataset. | {
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- Size: 50 samples
- Format: CSV with columns (text1, text2, label)
- Use case: Training NLP models for coherence
I’ll use GitHub’s web edit... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/3126 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3126/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3126/comments | https://api.github.com/repos/huggingface/datasets/issues/3126/events | https://github.com/huggingface/datasets/issues/3126 | 1,032,093,055 | I_kwDODunzps49hH1_ | 3,126 | "arabic_billion_words" dataset does not create the full dataset | {
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"Thanks for reporting, @vitalyshalumov.\r\n\r\nApparently the script to parse the data has a bug, and does not generate the entire dataset.\r\n\r\nI'm fixing it."
] | 2021-10-21T06:02:38Z | 2021-10-22T13:28:40Z | 2021-10-22T13:28:40Z | {
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} | ## Describe the bug
When running:
raw_dataset = load_dataset('arabic_billion_words','Alittihad')
the correct dataset file is pulled from the url.
But, the generated dataset includes just a small portion of the data included in the file.
This is true for all other portions of the "arabic_billion_words" dataset ('A... | {
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https://api.github.com/repos/huggingface/datasets/issues/336 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/336/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/336/comments | https://api.github.com/repos/huggingface/datasets/issues/336/events | https://github.com/huggingface/datasets/issues/336 | 649,914,203 | MDU6SXNzdWU2NDk5MTQyMDM= | 336 | [Dataset requests] New datasets for Open Question Answering | {
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} | We are still a few datasets missing for Open-Question Answering which is currently a field in strong development.
Namely, it would be really nice to add:
- WebQuestions (Berant et al., 2013) [done]
- CuratedTrec (Baudis et al. 2015) [not open-source]
- MS-MARCO (NGuyen et al. 2016) [done]
- SearchQA (Dunn et al.... | {
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https://api.github.com/repos/huggingface/datasets/issues/7813 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7813/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7813/comments | https://api.github.com/repos/huggingface/datasets/issues/7813/events | https://github.com/huggingface/datasets/issues/7813 | 3,503,446,288 | I_kwDODunzps7Q0lkQ | 7,813 | Caching does not work when using python3.14 | {
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"https://github.com/uqfoundation/dill/issues/725",
"@intexcor does #7817 fix your problem?"
] | 2025-10-10T15:36:46Z | 2025-10-27T17:08:26Z | 2025-10-27T17:08:26Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
Traceback (most recent call last):
File "/workspace/ctn.py", line 8, in <module>
ds = load_dataset(f"naver-clova-ix/synthdog-{lang}") # или "synthdog-zh" для китайского
File "/workspace/.venv/lib/python3.14/site-packages/datasets/load.py", line 1397, in load_dataset
builder_instance =... | {
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https://api.github.com/repos/huggingface/datasets/issues/4856 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4856/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4856/comments | https://api.github.com/repos/huggingface/datasets/issues/4856/events | https://github.com/huggingface/datasets/issues/4856 | 1,339,779,957 | I_kwDODunzps5P22t1 | 4,856 | file missing when load_dataset with openwebtext on windows | {
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"I have tried to extract ```0015896-b1054262f7da52a0518521e29c8e352c.txt``` from ```17ecf461bfccd469a1fbc264ccb03731f8606eea7b3e2e8b86e13d18040bf5b3/urlsf_subset00-16_data.xz``` with 7-zip\r\nand put the file into cache_path ```F://huggingface/datasets/downloads/extracted/0901d27f43b7e9ac0577da0d0061c8c632ba0b70ecd... | 2022-08-16T04:04:22Z | 2023-01-04T03:39:12Z | 2023-01-04T03:39:12Z | null | NONE | [] | null | null | {
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} | ## Describe the bug
0015896-b1054262f7da52a0518521e29c8e352c.txt is missing when I run run_mlm.py with openwebtext. I check the cache_path and can not find 0015896-b1054262f7da52a0518521e29c8e352c.txt. but I can find this file in the 17ecf461bfccd469a1fbc264ccb03731f8606eea7b3e2e8b86e13d18040bf5b3/urlsf_subset00-16_da... | {
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https://api.github.com/repos/huggingface/datasets/issues/919 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/919/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/919/comments | https://api.github.com/repos/huggingface/datasets/issues/919/events | https://github.com/huggingface/datasets/issues/919 | 753,434,472 | MDU6SXNzdWU3NTM0MzQ0NzI= | 919 | wrong length with datasets | {
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"Also, I cannot first convert it to torch format, since huggingface seq2seq_trainer codes process the datasets afterwards during datacollector function to make it optimize for TPUs. ",
"sorry I misunderstood length of dataset with dataloader, closed. thanks "
] | 2020-11-30T12:23:39Z | 2020-11-30T12:37:27Z | 2020-11-30T12:37:26Z | null | CONTRIBUTOR | [] | null | null | {
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I have a MRPC dataset which I convert it to seq2seq format, then this is of this format:
`Dataset(features: {'src_texts': Value(dtype='string', id=None), 'tgt_texts': Value(dtype='string', id=None)}, num_rows: 10)
`
I feed it to a dataloader:
```
dataloader = DataLoader(
train_dataset,
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https://api.github.com/repos/huggingface/datasets/issues/5596 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5596/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5596/comments | https://api.github.com/repos/huggingface/datasets/issues/5596/events | https://github.com/huggingface/datasets/issues/5596 | 1,604,919,993 | I_kwDODunzps5fqSK5 | 5,596 | [TypeError: Couldn't cast array of type] Can only load a subset of the dataset | {
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"Apparently some JSON objects have a `\"labels\"` field. Since this field is not present in every object, you must specify all the fields types in the README.md\r\n\r\nEDIT: actually specifying the feature types doesn’t solve the issue, it raises an error because “labels” is missing in the data",
"We've updated t... | 2023-03-01T12:53:08Z | 2023-12-05T03:22:00Z | 2023-03-02T11:12:11Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
I'm trying to load this [dataset](https://huggingface.co/datasets/bigcode-data/the-stack-gh-issues) which consists of jsonl files and I get the following error:
```
casted_values = _c(array.values, feature[0])
File "/opt/conda/lib/python3.7/site-packages/datasets/table.py", line 1839, in wr... | {
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https://api.github.com/repos/huggingface/datasets/issues/4863 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4863/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4863/comments | https://api.github.com/repos/huggingface/datasets/issues/4863/events | https://github.com/huggingface/datasets/issues/4863 | 1,343,737,668 | I_kwDODunzps5QF89E | 4,863 | TFDS wiki_dialog dataset to Huggingface dataset | {
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"@albertvillanova any help ? The linked dataset is in beam format which is similar to wikipedia dataset in huggingface that you scripted..",
"Nvm, I was able to port it to huggingface datasets, will upload to the hub soon",
"https://huggingface.co/datasets/djaym7/wiki_dialog",
"Thanks for the addition, @djay... | 2022-08-18T23:06:30Z | 2022-08-22T09:41:45Z | 2022-08-22T05:18:53Z | null | NONE | [] | null | null | {
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} | ## Adding a Dataset
- **Name:** *Wiki_dialog*
- **Description: https://github.com/google-research/dialog-inpainting#:~:text=JSON%20object%2C%20for-,example,-%3A
- **Paper: https://arxiv.org/abs/2205.09073
- **Data: https://github.com/google-research/dialog-inpainting
- **Motivation:** *Research and Development on ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2396 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2396/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2396/comments | https://api.github.com/repos/huggingface/datasets/issues/2396/events | https://github.com/huggingface/datasets/issues/2396 | 899,016,308 | MDU6SXNzdWU4OTkwMTYzMDg= | 2,396 | strange datasets from OSCAR corpus | {
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"Hi ! Thanks for reporting\r\ncc @pjox is this an issue from the data ?\r\n\r\nAnyway we should at least mention that OSCAR could contain such contents in the dataset card, you're totally right @jerryIsHere ",
"Hi @jerryIsHere , sorry for the late response! Sadly this is normal, the problem comes form fasttext's ... | 2021-05-23T13:06:02Z | 2021-06-17T13:54:37Z | null | null | CONTRIBUTOR | [] | null | null | {
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From the [official site ](https://oscar-corpus.com/), the Yue Chinese dataset should have 2.2K... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7461 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7461/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7461/comments | https://api.github.com/repos/huggingface/datasets/issues/7461/events | https://github.com/huggingface/datasets/issues/7461 | 2,925,608,123 | I_kwDODunzps6uYTy7 | 7,461 | List of images behave differently on IterableDataset and Dataset | {
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"Hi ! Can you try with `datasets` ^3.4 released recently ? on my side it works with IterableDataset on the recent version :)\n\n```python\nIn [20]: def train_iterable_gen():\n ...: images = np.array(load_image(\"https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg\")... | 2025-03-17T15:59:23Z | 2025-03-18T08:57:17Z | 2025-03-18T08:57:16Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
This code:
```python
def train_iterable_gen():
images = np.array(load_image("https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg").resize((128, 128)))
yield {
"images": np.expand_dims(images, axis=0),
"messages": [
... | {
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https://api.github.com/repos/huggingface/datasets/issues/1771 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1771/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1771/comments | https://api.github.com/repos/huggingface/datasets/issues/1771/events | https://github.com/huggingface/datasets/issues/1771 | 792,701,276 | MDU6SXNzdWU3OTI3MDEyNzY= | 1,771 | Couldn't reach https://raw.githubusercontent.com/huggingface/datasets/1.2.1/datasets/csv/csv.py | {
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"gists_url": "h... | [] | closed | false | [] | null | [
"I temporary manually download csv.py as custom dataset loading script",
"Indeed in 1.2.1 the script to process csv file is downloaded. Starting from the next release though we include the csv processing directly in the library.\r\nSee PR #1726 \r\nWe'll do a new release soon :)",
"Thanks."
] | 2021-01-24T01:53:52Z | 2021-01-24T23:06:29Z | 2021-01-24T23:06:29Z | null | NONE | [] | null | null | {
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} | {
"blocked_by": 0,
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} | Hi,
When I load_dataset from local csv files, below error happened, looks raw.githubusercontent.com was blocked by the chinese government. But why it need to download csv.py? should it include when pip install the dataset?
```
Traceback (most recent call last):
File "/home/tom/pyenv/pystory/lib/python3.6/site-p... | {
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https://api.github.com/repos/huggingface/datasets/issues/6450 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6450/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6450/comments | https://api.github.com/repos/huggingface/datasets/issues/6450/events | https://github.com/huggingface/datasets/issues/6450 | 2,009,491,386 | I_kwDODunzps53xme6 | 6,450 | Support multiple image/audio columns in ImageFolder/AudioFolder | {
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"gists_url": "https://ap... | [
{
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"default": true,
"description": "This issue or pull request already exists",
"id": 1935892865,
"name": "duplicate",
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"url": "https://api.github.com/repos/huggingface/datasets/labels/duplicate"
},
{
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... | closed | false | [] | null | [
"A duplicate of https://github.com/huggingface/datasets/issues/5760"
] | 2023-11-24T10:34:09Z | 2023-11-28T11:07:17Z | 2023-11-24T17:24:38Z | null | COLLABORATOR | [] | null | null | {
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} | {
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"blocking": 0,
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} | ### Feature request
Have a metadata.csv file with multiple columns that point to relative image or audio files.
### Motivation
Currently, ImageFolder allows one column, called `file_name`, pointing to relative image files. On the same model, AudioFolder allows one column, called `file_name`, pointing to relative aud... | {
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https://api.github.com/repos/huggingface/datasets/issues/7024 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7024/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7024/comments | https://api.github.com/repos/huggingface/datasets/issues/7024/events | https://github.com/huggingface/datasets/issues/7024 | 2,390,141,626 | I_kwDODunzps6Odqq6 | 7,024 | Streaming dataset not returning data | {
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"following_url": "https://api.github.com/users/johnwee1/following{/other_user}",
"gists_url": "htt... | [] | open | false | [] | null | [] | 2024-07-04T07:21:47Z | 2024-07-04T07:21:47Z | null | null | NONE | [] | null | null | {
"completed": 0,
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"total": 0
} | {
"blocked_by": 0,
"blocking": 0,
"total_blocked_by": 0,
"total_blocking": 0
} | ### Describe the bug
I'm deciding to post here because I'm still not sure what the issue is, or if I am using IterableDatasets wrongly.
I'm following the guide on here https://huggingface.co/learn/cookbook/en/fine_tuning_code_llm_on_single_gpu pretty much to a tee and have verified that it works when I'm fine-tuning ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/4086 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4086/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4086/comments | https://api.github.com/repos/huggingface/datasets/issues/4086/events | https://github.com/huggingface/datasets/issues/4086 | 1,191,373,374 | I_kwDODunzps5HAuo- | 4,086 | Dataset viewer issue for McGill-NLP/feedbackQA | {
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{
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"default": false,
"description": "Related to the dataset viewer on huggingface.co",
"id": 3470211881,
"name": "dataset-viewer",
"node_id": "LA_kwDODunzps7O1zsp",
"url": "https://api.github.com/repos/huggingface/datasets/labels/dataset-viewer"
}
] | closed | false | [
{
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"following_url": "https://api.github.com/users/albertvillanova/following{/o... | null | [
"Hi @cslizc, thanks for reporting.\r\n\r\nI have just forced the refresh of the corresponding cache and the preview is working now.",
"thank you so much"
] | 2022-04-04T07:27:20Z | 2022-04-04T22:29:53Z | 2022-04-04T08:01:45Z | {
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"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",... | NONE | [] | null | null | {
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} | {
"blocked_by": 0,
"blocking": 0,
"total_blocked_by": 0,
"total_blocking": 0
} | ## Dataset viewer issue for '*McGill-NLP/feedbackQA*'
**Link:** *[link to the dataset viewer page](https://huggingface.co/datasets/McGill-NLP/feedbackQA)*
*short description of the issue*
The dataset can be loaded correctly with `load_dataset` but the preview doesn't work. Error message:
```
Status code: 4... | {
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https://api.github.com/repos/huggingface/datasets/issues/4737 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4737/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4737/comments | https://api.github.com/repos/huggingface/datasets/issues/4737/events | https://github.com/huggingface/datasets/issues/4737 | 1,315,011,004 | I_kwDODunzps5OYXm8 | 4,737 | Download error on scene_parse_150 | {
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{
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"name": "bug",
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] | closed | false | [] | null | [
"Hi! The server with the data seems to be down. I've reported this issue (https://github.com/CSAILVision/sceneparsing/issues/34) in the dataset repo. ",
"The URL seems to work now, and therefore the script as well."
] | 2022-07-22T13:28:28Z | 2022-09-01T15:37:11Z | 2022-09-01T15:37:11Z | null | NONE | [] | null | null | {
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} | {
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} | ```
from datasets import load_dataset
dataset = load_dataset("scene_parse_150", "scene_parsing")
FileNotFoundError: Couldn't find file at http://data.csail.mit.edu/places/ADEchallenge/ADEChallengeData2016.zip
```
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https://api.github.com/repos/huggingface/datasets/issues/6917 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6917/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6917/comments | https://api.github.com/repos/huggingface/datasets/issues/6917/events | https://github.com/huggingface/datasets/issues/6917 | 2,314,683,663 | I_kwDODunzps6J90UP | 6,917 | WinError 32 The process cannot access the file during load_dataset | {
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} | {
"blocked_by": 0,
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} | ### Describe the bug
When I try to load the opus_book from hugging face (following the [guide on the website](https://huggingface.co/docs/transformers/main/en/tasks/translation))
```python
from datasets import load_dataset, Dataset
dataset = load_dataset("Helsinki-NLP/opus_books", "en-fr", features=["id", "tran... | null | {
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