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https://api.github.com/repos/huggingface/datasets/issues/7280 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7280/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7280/comments | https://api.github.com/repos/huggingface/datasets/issues/7280/events | https://github.com/huggingface/datasets/issues/7280 | 2,639,977,077 | I_kwDODunzps6dWtp1 | 7,280 | Add filename in error message when ReadError or similar occur | {
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"Hi Elisa, please share the error traceback here, and if you manage to find the location in the `datasets` code where the error occurs, feel free to open a PR to add the necessary logging / improve the error message.",
"> please share the error traceback\n\nI don't have access to it but it should be during [this ... | 2024-11-07T06:00:53Z | 2024-11-20T13:23:12Z | null | NONE | null | null | null | null | Please update error messages to include relevant information for debugging when loading datasets with `load_dataset()` that may have a few corrupted files.
Whenever downloading a full dataset, some files might be corrupted (either at the source or from downloading corruption).
However the errors often only let me k... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7276 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7276/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7276/comments | https://api.github.com/repos/huggingface/datasets/issues/7276/events | https://github.com/huggingface/datasets/issues/7276 | 2,631,917,431 | I_kwDODunzps6c3993 | 7,276 | Accessing audio dataset value throws Format not recognised error | {
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"Hi ! can you try if this works ?\r\n\r\n```python\r\nimport soundfile as sf\r\n\r\nwith open('C:\\\\Users\\\\Nawaz-Server\\\\.cache\\\\huggingface\\\\hub\\\\datasets--fawazahmed0--bug-audio\\\\snapshots\\\\fab1398431fed1c0a2a7bff0945465bab8b5daef\\\\data\\\\Ghamadi\\\\037136.mp3', 'rb') as f:\r\n print(sf.read(... | 2024-11-04T05:59:13Z | 2024-11-09T18:51:52Z | null | NONE | null | null | null | null | ### Describe the bug
Accessing audio dataset value throws `Format not recognised error`
### Steps to reproduce the bug
**code:**
```py
from datasets import load_dataset
dataset = load_dataset("fawazahmed0/bug-audio")
for data in dataset["train"]:
print(data)
```
**output:**
```bash
(mypy) ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7275 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7275/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7275/comments | https://api.github.com/repos/huggingface/datasets/issues/7275/events | https://github.com/huggingface/datasets/issues/7275 | 2,631,713,397 | I_kwDODunzps6c3MJ1 | 7,275 | load_dataset | {
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I am performing two operations I see on a hugging face tutorial (Fine-tune a language model), and I am defining every aspect inside the mapped functions, also some imports of the library because it doesnt identify anything not defined outside that function where the dataset elements are being mapp... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7269 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7269/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7269/comments | https://api.github.com/repos/huggingface/datasets/issues/7269/events | https://github.com/huggingface/datasets/issues/7269 | 2,626,873,843 | I_kwDODunzps6ckunz | 7,269 | Memory leak when streaming | {
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"I seem to have encountered the same problem when loading non streaming datasets. load_from_disk. Causing hundreds of GB of memory, but the dataset actually only has 50GB",
"FYI when streaming parquet data, only one row group per worker is loaded in memory at a time.\r\n\r\nBtw for datasets of embeddings you can ... | 2024-10-31T13:33:52Z | 2025-09-02T12:24:31Z | null | NONE | null | null | null | null | ### Describe the bug
I try to use a dataset with streaming=True, the issue I have is that the RAM usage becomes higher and higher until it is no longer sustainable.
I understand that huggingface store data in ram during the streaming, and more worker in dataloader there are, more a lot of shard will be stored in ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7268 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7268/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7268/comments | https://api.github.com/repos/huggingface/datasets/issues/7268/events | https://github.com/huggingface/datasets/issues/7268 | 2,626,664,687 | I_kwDODunzps6cj7jv | 7,268 | load_from_disk | {
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"Hello, It's an interesting issue here. I have the same problem, I have a local dataset and I want to push the dataset to the hub but huggingface does a copy of it.\r\n\r\n```py\r\nfrom datasets import load_dataset\r\n\r\ndataset = load_dataset(\"webdataset\", data_files=\"/media/works/data/*.tar\") # copy here\r\n... | 2024-10-31T11:51:56Z | 2025-07-01T08:42:17Z | null | NONE | null | null | null | null | ### Describe the bug
I have data saved with save_to_disk. The data is big (700Gb). When I try loading it, the only option is load_from_disk, and this function copies the data to a tmp directory, causing me to run out of disk space. Is there an alternative solution to that?
### Steps to reproduce the bug
when trying ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7267 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7267/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7267/comments | https://api.github.com/repos/huggingface/datasets/issues/7267/events | https://github.com/huggingface/datasets/issues/7267 | 2,626,490,029 | I_kwDODunzps6cjQ6t | 7,267 | Source installation fails on Macintosh with python 3.10 | {
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"I encountered the same problem on M1, a workaround I did was to simply comment out the dependency:\r\n\r\n```python\r\n...\r\n \"zstandard\",\r\n \"polars[timezone]>=0.20.0\",\r\n # \"decord==0.6.0\",\r\n]\r\n```\r\n\r\nThis worked for me as the adjustments I did to the code do not use the dependency, but... | 2024-10-31T10:18:45Z | 2024-11-04T22:18:06Z | null | NONE | null | null | null | null | ### Describe the bug
Hi,
Decord is a dev dependency not maintained since couple years.
It does not have an ARM package available rendering it uninstallable on non-intel based macs
Suggestion is to move to eva-decord (https://github.com/georgia-tech-db/eva-decord) which doesnt have this problem.
Happy to... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7266 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7266/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7266/comments | https://api.github.com/repos/huggingface/datasets/issues/7266/events | https://github.com/huggingface/datasets/issues/7266 | 2,624,666,087 | I_kwDODunzps6ccTnn | 7,266 | The dataset viewer should be available soon. Please retry later. | {
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"Waiting is all you need. 10 hours later, it works."
] | 2024-10-30T16:32:00Z | 2024-10-31T03:48:11Z | 2024-10-31T03:48:10Z | NONE | null | null | null | null | ### Describe the bug
After waiting for 2 hours, it still presents ``The dataset viewer should be available soon. Please retry later.''
### Steps to reproduce the bug
dataset link: https://huggingface.co/datasets/BryanW/HI_EDIT
### Expected behavior
Present the dataset viewer.
### Environment info
NA | {
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https://api.github.com/repos/huggingface/datasets/issues/7261 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7261/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7261/comments | https://api.github.com/repos/huggingface/datasets/issues/7261/events | https://github.com/huggingface/datasets/issues/7261 | 2,620,510,840 | I_kwDODunzps6cMdJ4 | 7,261 | Cannot load the cache when mapping the dataset | {
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"@zhangn77 Hi ，have you solved this problem? I encountered the same issue during training. Could we discuss it?",
"I also encountered the same problem, why is that？"
] | 2024-10-29T08:29:40Z | 2025-03-24T13:27:55Z | null | NONE | null | null | null | null | ### Describe the bug
I'm training the flux controlnet. The train_dataset.map() takes long time to finish. However, when I killed one training process and want to restart a new training with the same dataset. I can't reuse the mapped result even I defined the cache dir for the dataset.
with accelerator.main_process_... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7260 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7260/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7260/comments | https://api.github.com/repos/huggingface/datasets/issues/7260/events | https://github.com/huggingface/datasets/issues/7260 | 2,620,014,285 | I_kwDODunzps6cKj7N | 7,260 | cache can't cleaned or disabled | {
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"Hey I have a similar problem and found a workaround using [temporary directories](https://docs.python.org/3/library/tempfile.html):\r\n\r\n```python\r\nfrom tempfile import TemporaryDirectory\r\n\r\nwith TemporaryDirectory() as cache_dir:\r\n data = load_dataset('json', data_files=save_local_path, split='train'... | 2024-10-29T03:15:28Z | 2024-12-11T09:04:52Z | null | NONE | null | null | null | null | ### Describe the bug
I tried following ways, the cache can't be disabled.
I got 2T data, but I also got more than 2T cache file. I got pressure on storage. I need to diable cache or cleaned immediately after processed. Following ways are all not working, please give some help!
```python
from datasets import ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7254 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7254/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7254/comments | https://api.github.com/repos/huggingface/datasets/issues/7254/events | https://github.com/huggingface/datasets/issues/7254 | 2,616,174,996 | I_kwDODunzps6b76mU | 7,254 | mismatch for datatypes when providing `Features` with `Array2D` and user specified `dtype` and using with_format("numpy") | {
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"It seems that https://github.com/huggingface/datasets/issues/5517 is exactly the same issue.\r\n\r\nIt was mentioned there that this would be fixed in version 3.x"
] | 2024-10-26T22:06:27Z | 2024-10-26T22:07:37Z | null | NONE | null | null | null | null | ### Describe the bug
If the user provides a `Features` type value to `datasets.Dataset` with members having `Array2D` with a value for `dtype`, it is not respected during `with_format("numpy")` which should return a `np.array` with `dtype` that the user provided for `Array2D`. It seems for floats, it will be set to `f... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7253 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7253/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7253/comments | https://api.github.com/repos/huggingface/datasets/issues/7253/events | https://github.com/huggingface/datasets/issues/7253 | 2,615,862,202 | I_kwDODunzps6b6uO6 | 7,253 | Unable to upload a large dataset zip either from command line or UI | {
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Unable to upload a large dataset zip from command line or UI. UI simply says error. I am trying to a upload a tar.gz file of 17GB.
<img width="550" alt="image" src="https://github.com/user-attachments/assets/f9d29024-06c8-49c4-a109-0492cff79d34">
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https://api.github.com/repos/huggingface/datasets/issues/7249 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7249/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7249/comments | https://api.github.com/repos/huggingface/datasets/issues/7249/events | https://github.com/huggingface/datasets/issues/7249 | 2,610,136,636 | I_kwDODunzps6bk4Y8 | 7,249 | How to debugging | {
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I wanted to use my own script to handle the processing, and followed the tutorial documentation by rewriting the MyDatasetConfig and MyDatasetBuilder (which contains the _info,_split_generators and _generate_examples methods) classes. Testing with simple data was able to output the results of the ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7248 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7248/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7248/comments | https://api.github.com/repos/huggingface/datasets/issues/7248/events | https://github.com/huggingface/datasets/issues/7248 | 2,609,926,089 | I_kwDODunzps6bkE_J | 7,248 | ModuleNotFoundError: No module named 'datasets.tasks' | {
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"tasks was removed in v3: #6999 \r\n\r\nI also don't see why TextClassification is imported, since it's not used after. So the fix is simple: delete this line.",
"I opened https://huggingface.co/datasets/knowledgator/events_classification_biotech/discussions/7 to remove the line, hopefully the dataset owner will ... | 2024-10-23T21:58:25Z | 2024-10-24T17:00:19Z | null | NONE | null | null | null | null | ### Describe the bug
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
[<ipython-input-9-13b5f31bd391>](https://bcb6shpazyu-496ff2e9c6d22116-0-colab.googleusercontent.com/outputframe.html?vrz=colab_20241022-060119_R... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7247 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7247/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7247/comments | https://api.github.com/repos/huggingface/datasets/issues/7247/events | https://github.com/huggingface/datasets/issues/7247 | 2,606,230,029 | I_kwDODunzps6bV-oN | 7,247 | Adding column with dict struction when mapping lead to wrong order | {
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in `map()` function, I want to add a new column with a dict structure.
```
def map_fn(example):
example['text'] = {'user': ..., 'assistant': ...}
return example
```
However this leads to a wrong order `{'assistant':..., 'user':...}` in the dataset.
Thus I can't concatenate two datasets ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7243 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7243/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7243/comments | https://api.github.com/repos/huggingface/datasets/issues/7243/events | https://github.com/huggingface/datasets/issues/7243 | 2,602,853,172 | I_kwDODunzps6bJGM0 | 7,243 | ArrayXD with None as leading dim incompatible with DatasetCardData | {
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"It looks like `CardData` in `huggingface_hub` removes None values where it shouldn't. Indeed it calls `_remove_none` on the return of `to_dict()`:\r\n\r\n```python\r\n def to_dict(self) -> Dict[str, Any]:\r\n \"\"\"Converts CardData to a dict.\r\n\r\n Returns:\r\n `dict`: CardData repre... | 2024-10-21T15:08:13Z | 2024-10-22T14:18:10Z | null | CONTRIBUTOR | null | null | null | null | ### Describe the bug
Creating a dataset with ArrayXD features leads to errors when downloading from hub due to DatasetCardData removing the Nones
@lhoestq
### Steps to reproduce the bug
```python
import numpy as np
from datasets import Array2D, Dataset, Features, load_dataset
def examples_generator():... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7241 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7241/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7241/comments | https://api.github.com/repos/huggingface/datasets/issues/7241/events | https://github.com/huggingface/datasets/issues/7241 | 2,599,899,156 | I_kwDODunzps6a91AU | 7,241 | `push_to_hub` overwrite argument | {
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"Hi ! Do you mean deleting all the files ? or erasing the repository git history before push_to_hub ?",
"Hi! I meant the latter.",
"I don't think there is a `huggingface_hub` utility to erase the git history, cc @Wauplin maybe ?",
"What is the goal exactly of deleting all the git history without deleting the ... | 2024-10-20T03:23:26Z | 2024-10-24T17:39:08Z | 2024-10-24T17:39:08Z | NONE | null | null | null | null | ### Feature request
Add an `overwrite` argument to the `push_to_hub` method.
### Motivation
I want to overwrite a repo without deleting it on Hugging Face. Is this possible? I couldn't find anything in the documentation or tutorials.
### Your contribution
I can create a PR. | {
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https://api.github.com/repos/huggingface/datasets/issues/7238 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7238/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7238/comments | https://api.github.com/repos/huggingface/datasets/issues/7238/events | https://github.com/huggingface/datasets/issues/7238 | 2,598,409,993 | I_kwDODunzps6a4JcJ | 7,238 | incompatibily issue when using load_dataset with datasets==3.0.1 | {
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"Hi! I'm also getting the same issue - have you been able to find a solution to this? ",
"From what I remember, I stayed at the \"downgraded\" version of dataset (2.21.0)"
] | 2024-10-18T21:25:23Z | 2024-12-09T09:49:32Z | null | NONE | null | null | null | null | ### Describe the bug
There is a bug when using load_dataset with dataset version at 3.0.1 .
Please see below in the "steps to reproduce the bug".
To resolve the bug, I had to downgrade to version 2.21.0
OS: Ubuntu 24 (AWS instance)
Python: same bug under 3.12 and 3.10
The error I had was:
Traceback (most rec... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7233 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7233/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7233/comments | https://api.github.com/repos/huggingface/datasets/issues/7233/events | https://github.com/huggingface/datasets/issues/7233 | 2,593,903,113 | I_kwDODunzps6am9IJ | 7,233 | 数据集数量问题 | {
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这里我进行大模型微调，当数据集数量为718时，模型可以正常微调，但是当我添加一个在前718个数据集中的数据或者新增一个数据就会报错
### Steps to reproduce the bug
1.
这里我的数据集可以微调的最后两个数据集是：
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https://api.github.com/repos/huggingface/datasets/issues/7228 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7228/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7228/comments | https://api.github.com/repos/huggingface/datasets/issues/7228/events | https://github.com/huggingface/datasets/issues/7228 | 2,587,310,094 | I_kwDODunzps6aNzgO | 7,228 | Composite (multi-column) features | {
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] | open | false | null | [] | null | [] | 2024-10-14T23:59:19Z | 2024-10-15T11:17:15Z | null | CONTRIBUTOR | null | null | null | null | ### Feature request
Structured data types (graphs etc.) might often be most efficiently stored as multiple columns, which then need to be combined during feature decoding
Although it is currently possible to nest features as structs, my impression is that in particular when dealing with e.g. a feature composed of... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7226 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7226/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7226/comments | https://api.github.com/repos/huggingface/datasets/issues/7226/events | https://github.com/huggingface/datasets/issues/7226 | 2,586,920,351 | I_kwDODunzps6aMUWf | 7,226 | Add R as a How to use from the Polars (R) Library as an option | {
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] | open | false | null | [] | null | [] | 2024-10-14T19:56:07Z | 2024-10-14T19:57:13Z | null | NONE | null | null | null | null | ### Feature request
The boiler plate code to access a dataset via the hugging face file system is very useful. Please addd
## Add Polars (R) option
The equivailent code works, because the [Polars-R](https://github.com/pola-rs/r-polars) wrapper has hugging faces funcitonaliy as well.
```r
library(polars)
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7225 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7225/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7225/comments | https://api.github.com/repos/huggingface/datasets/issues/7225/events | https://github.com/huggingface/datasets/issues/7225 | 2,586,229,216 | I_kwDODunzps6aJrng | 7,225 | Huggingface GIT returns null as Content-Type instead of application/x-git-receive-pack-result | {
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We push changes to our datasets programmatically. Our git client jGit reports that the hf git server returns null as Content-Type after a push.
### Steps to reproduce the bug
A basic kotlin application:
```
val person = PersonIdent(
"padmalcom",
"padmalcom@sth.com"
)
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https://api.github.com/repos/huggingface/datasets/issues/7223 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7223/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7223/comments | https://api.github.com/repos/huggingface/datasets/issues/7223/events | https://github.com/huggingface/datasets/issues/7223 | 2,583,231,590 | I_kwDODunzps6Z-Pxm | 7,223 | Fallback to arrow defaults when loading dataset with custom features that aren't registered locally | {
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Datasets allows users to create and register custom features.
However if datasets are then pushed to the hub, this means that anyone calling load_dataset without registering the custom Features in the same way as the dataset creator will get an error message.
It would be nice to offer a fall... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7222 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7222/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7222/comments | https://api.github.com/repos/huggingface/datasets/issues/7222/events | https://github.com/huggingface/datasets/issues/7222 | 2,582,678,033 | I_kwDODunzps6Z8IoR | 7,222 | TypeError: Couldn't cast array of type string to null in long json | {
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"I am encountering this same issue. It seems that the library manages to recognise an optional column (but not **exclusively** null) if there is at least one non-null instance within the same file. For example, given a `test_0.jsonl` file:\r\n```json\r\n{\"a\": \"a1\", \"b\": \"b1\", \"c\": null, \"d\": null}\r\n{\... | 2024-10-12T08:14:59Z | 2025-07-21T03:07:32Z | null | NONE | null | null | null | null | ### Describe the bug
In general, changing the type from string to null is allowed within a dataset — there are even examples of this in the documentation.
However, if the dataset is large and unevenly distributed, this allowance stops working. The schema gets locked in after reading a chunk.
Consequently, if al... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7220 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7220/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7220/comments | https://api.github.com/repos/huggingface/datasets/issues/7220/events | https://github.com/huggingface/datasets/issues/7220 | 2,582,036,110 | I_kwDODunzps6Z5r6O | 7,220 | Custom features not compatible with special encoding/decoding logic | {
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"I think you can fix this simply by replacing the line with hardcoded features with `hastattr(schema, \"encode_example\")` actually",
"#7284 "
] | 2024-10-11T19:20:11Z | 2024-11-08T15:10:58Z | null | CONTRIBUTOR | null | null | null | null | ### Describe the bug
It is possible to register custom features using datasets.features.features.register_feature (https://github.com/huggingface/datasets/pull/6727)
However such features are not compatible with Features.encode_example/decode_example if they require special encoding / decoding logic because encod... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7217 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7217/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7217/comments | https://api.github.com/repos/huggingface/datasets/issues/7217/events | https://github.com/huggingface/datasets/issues/7217 | 2,581,095,098 | I_kwDODunzps6Z2GK6 | 7,217 | ds.map(f, num_proc=10) is slower than df.apply | {
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"Hi ! `map()` reads all the columns and writes the resulting dataset with all the columns as well, while df.column_name.apply only reads and writes one column and does it in memory. So this is speed difference is actually expected.\r\n\r\nMoreover using multiprocessing on a dataset that lives in memory (from_pandas... | 2024-10-11T11:04:05Z | 2025-02-28T21:21:01Z | null | NONE | null | null | null | null | ### Describe the bug
pandas columns: song_id, song_name
ds = Dataset.from_pandas(df)
def has_cover(song_name):
if song_name is None or pd.isna(song_name):
return False
return 'cover' in song_name.lower()
df['has_cover'] = df.song_name.progress_apply(has_cover)
ds = ds.map(lambda x: {'has_cov... | null | {
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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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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/7214 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7214/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7214/comments | https://api.github.com/repos/huggingface/datasets/issues/7214/events | https://github.com/huggingface/datasets/issues/7214 | 2,578,743,713 | I_kwDODunzps6ZtIGh | 7,214 | Formatted map + with_format(None) changes array dtype for iterable datasets | {
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"possibly due to this logic:\r\n\r\n```python\r\n def _arrow_array_to_numpy(self, pa_array: pa.Array) -> np.ndarray:\r\n if isinstance(pa_array, pa.ChunkedArray):\r\n if isinstance(pa_array.type, _ArrayXDExtensionType):\r\n # don't call to_pylist() to preserve dtype of the fixed-... | 2024-10-10T12:45:16Z | 2024-10-12T16:55:57Z | null | CONTRIBUTOR | null | null | null | null | ### Describe the bug
When applying with_format -> map -> with_format(None), array dtypes seem to change, even if features are passed
### Steps to reproduce the bug
```python
features=Features(**{"array0": Array3D((None, 10, 10), dtype="float32")})
dataset = Dataset.from_dict({f"array0": [np.zeros((100,10,10... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7213 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7213/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7213/comments | https://api.github.com/repos/huggingface/datasets/issues/7213/events | https://github.com/huggingface/datasets/issues/7213 | 2,578,675,565 | I_kwDODunzps6Zs3dt | 7,213 | Add with_rank to Dataset.from_generator | {
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] | open | false | null | [] | null | [] | 2024-10-10T12:15:29Z | 2024-10-10T12:17:11Z | null | NONE | null | null | null | null | ### Feature request
Add `with_rank` to `Dataset.from_generator` similar to `Dataset.map` and `Dataset.filter`.
### Motivation
As for `Dataset.map` and `Dataset.filter`, this is useful when creating cache files using multi-GPU, where the rank can be used to select GPU IDs. For now, rank can be added in the `ge... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7212 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7212/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7212/comments | https://api.github.com/repos/huggingface/datasets/issues/7212/events | https://github.com/huggingface/datasets/issues/7212 | 2,578,641,259 | I_kwDODunzps6ZsvFr | 7,212 | Windows do not supprot signal.alarm and singal.signal | {
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signal.alarm and signal.signal are used in the load.py module, but these are not supported by Windows.
### Steps to reproduce the bug
lighteval accelerate --model_args "pretrained=gpt2,trust_remote_code=True" --tasks "community|kinit_sts" --custom_tasks "community_tasks/kinit_evals.py" --output... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7211 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7211/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7211/comments | https://api.github.com/repos/huggingface/datasets/issues/7211/events | https://github.com/huggingface/datasets/issues/7211 | 2,576,400,502 | I_kwDODunzps6ZkMB2 | 7,211 | Describe only selected fields in README | {
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] | open | false | null | [] | null | [] | 2024-10-09T16:25:47Z | 2024-10-09T16:25:47Z | null | NONE | null | null | null | null | ### Feature request
Hi Datasets team!
Is it possible to add the ability to describe only selected fields of the dataset files in `README.md`? For example, I have this open dataset ([open-llm-leaderboard/results](https://huggingface.co/datasets/open-llm-leaderboard/results?row=0)) and I want to describe only some f... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7210 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7210/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7210/comments | https://api.github.com/repos/huggingface/datasets/issues/7210/events | https://github.com/huggingface/datasets/issues/7210 | 2,575,883,939 | I_kwDODunzps6ZiN6j | 7,210 | Convert Array features to numpy arrays rather than lists by default | {
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] | open | false | null | [] | null | [] | 2024-10-09T13:05:21Z | 2024-10-09T13:05:21Z | null | CONTRIBUTOR | null | null | null | null | ### Feature request
It is currently quite easy to cause massive slowdowns when using datasets and not familiar with the underlying data conversions by e.g. making bad choices of formatting.
Would it be more user-friendly to set defaults that avoid this as much as possible? e.g. format Array features as numpy arrays... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7208 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7208/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7208/comments | https://api.github.com/repos/huggingface/datasets/issues/7208/events | https://github.com/huggingface/datasets/issues/7208 | 2,575,484,256 | I_kwDODunzps6ZgsVg | 7,208 | Iterable dataset.filter should not override features | {
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"closed by https://github.com/huggingface/datasets/pull/7209, thanks @alex-hh !"
] | 2024-10-09T10:23:45Z | 2024-10-09T16:08:46Z | 2024-10-09T16:08:45Z | CONTRIBUTOR | null | null | null | null | ### Describe the bug
When calling filter on an iterable dataset, the features get set to None
### Steps to reproduce the bug
import numpy as np
import time
from datasets import Dataset, Features, Array3D
```python
features=Features(**{"array0": Array3D((None, 10, 10), dtype="float32"), "array1": Array3D((None,... | {
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https://api.github.com/repos/huggingface/datasets/issues/7206 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7206/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7206/comments | https://api.github.com/repos/huggingface/datasets/issues/7206/events | https://github.com/huggingface/datasets/issues/7206 | 2,573,567,467 | I_kwDODunzps6ZZYXr | 7,206 | Slow iteration for iterable dataset with numpy formatting for array data | {
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"The below easily eats up 32G of RAM. Leaving it for a while bricked the laptop with 16GB.\r\n\r\n```\r\ndataset = load_dataset(\"Voxel51/OxfordFlowers102\", data_dir=\"data\").with_format(\"numpy\")\r\nprocessed_dataset = dataset.map(lambda x: x)\r\n```\r\n\r\n![image](https://github.com/user-attachments/assets/c1... | 2024-10-08T15:38:11Z | 2024-10-17T17:14:52Z | null | CONTRIBUTOR | null | null | null | null | ### Describe the bug
When working with large arrays, setting with_format to e.g. numpy then applying map causes a significant slowdown for iterable datasets.
### Steps to reproduce the bug
```python
import numpy as np
import time
from datasets import Dataset, Features, Array3D
features=Features(**{"array... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7202 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7202/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7202/comments | https://api.github.com/repos/huggingface/datasets/issues/7202/events | https://github.com/huggingface/datasets/issues/7202 | 2,572,583,798 | I_kwDODunzps6ZVoN2 | 7,202 | `from_parquet` return type annotation | {
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As already posted in https://github.com/microsoft/pylance-release/issues/6534, the correct type hinting fails when building a dataset using the `from_parquet` constructor.
Their suggestion is to comprehensively annotate the method's return type to better align with the docstring information.
###... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7201 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7201/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7201/comments | https://api.github.com/repos/huggingface/datasets/issues/7201/events | https://github.com/huggingface/datasets/issues/7201 | 2,569,837,015 | I_kwDODunzps6ZLJnX | 7,201 | `load_dataset()` of images from a single directory where `train.png` image exists | {
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"gist... | [] | open | false | null | [] | null | [] | 2024-10-07T09:14:17Z | 2024-10-07T09:14:17Z | null | NONE | null | null | null | null | ### Describe the bug
Hey!
Firstly, thanks for maintaining such framework!
I had a small issue, where I wanted to load a custom dataset of image+text captioning. I had all of my images in a single directory, and one of the images had the name `train.png`. Then, the loaded dataset had only this image.
I guess it'... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7197 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7197/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7197/comments | https://api.github.com/repos/huggingface/datasets/issues/7197/events | https://github.com/huggingface/datasets/issues/7197 | 2,565,924,788 | I_kwDODunzps6Y8Oe0 | 7,197 | ConnectionError: Couldn't reach 'allenai/c4' on the Hub (ConnectionError)数据集下不下来，怎么回事 | {
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"Also cant download \"allenai/c4\", but with different error reported:\r\n```\r\nTraceback (most recent call last): ... | 2024-10-04T09:33:25Z | 2025-02-26T02:26:16Z | null | NONE | null | null | null | null | ### Describe the bug
from datasets import load_dataset
print("11")
traindata = load_dataset('ptb_text_only', 'penn_treebank', split='train')
print("22")
valdata = load_dataset('ptb_text_only',
'penn_treebank',
split='validation')
### Steps to reproduce the b... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7196 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7196/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7196/comments | https://api.github.com/repos/huggingface/datasets/issues/7196/events | https://github.com/huggingface/datasets/issues/7196 | 2,564,218,566 | I_kwDODunzps6Y1t7G | 7,196 | concatenate_datasets does not preserve shuffling state | {
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"It also does preserve `split_by_node`, so in the meantime you should call `shuffle` or `split_by_node` AFTER `interleave_datasets` or `concatenate_datasets`"
] | 2024-10-03T14:30:38Z | 2025-03-18T10:56:47Z | null | CONTRIBUTOR | null | null | null | null | ### Describe the bug
After concatenate datasets on an iterable dataset, the shuffling state is destroyed, similar to #7156
This means concatenation cant be used for resolving uneven numbers of samples across devices when using iterable datasets in a distributed setting as discussed in #6623
I also noticed th... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7195 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7195/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7195/comments | https://api.github.com/repos/huggingface/datasets/issues/7195/events | https://github.com/huggingface/datasets/issues/7195 | 2,564,070,809 | I_kwDODunzps6Y1J2Z | 7,195 | Add support for 3D datasets | {
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"maybe related: https://github.com/huggingface/datasets/issues/6388",
"Also look at https://github.com/huggingface/dataset-viewer/blob/f5fd117ceded990a7766e705bba1203fa907d6ad/services/worker/src/worker/job_runners/dataset/modalities.py#L241 which lists the 3D file formats that will assign the 3D modality to a da... | 2024-10-03T13:27:44Z | 2024-10-04T09:23:36Z | null | COLLABORATOR | null | null | null | null | See https://huggingface.co/datasets/allenai/objaverse for example | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7194 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7194/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7194/comments | https://api.github.com/repos/huggingface/datasets/issues/7194/events | https://github.com/huggingface/datasets/issues/7194 | 2,563,364,199 | I_kwDODunzps6YydVn | 7,194 | datasets.exceptions.DatasetNotFoundError for private dataset | {
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"Actually there is no such dataset available, that is why you are getting that error.",
"Fixed with @kdutia in Slack chat. Generating a new token fixed this issue. "
] | 2024-10-03T07:49:36Z | 2024-10-03T10:09:28Z | 2024-10-03T10:09:28Z | NONE | null | null | null | null | ### Describe the bug
The following Python code tries to download a private dataset and fails with the error `datasets.exceptions.DatasetNotFoundError: Dataset 'ClimatePolicyRadar/all-document-text-data-weekly' doesn't exist on the Hub or cannot be accessed.`. Downloading a public dataset doesn't work.
``` py
fro... | {
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https://api.github.com/repos/huggingface/datasets/issues/7193 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7193/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7193/comments | https://api.github.com/repos/huggingface/datasets/issues/7193/events | https://github.com/huggingface/datasets/issues/7193 | 2,562,392,887 | I_kwDODunzps6YuwM3 | 7,193 | Support of num_workers (multiprocessing) in map for IterableDataset | {
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"I was curious about the same - since map is applied on the fly I was assuming that setting num_workers>1 in DataLoader would effectively do the map in parallel, have you tried that?"
] | 2024-10-02T18:34:04Z | 2024-10-03T09:54:15Z | null | NONE | null | null | null | null | ### Feature request
Currently, IterableDataset doesn't support setting num_worker in .map(), which results in slow processing here. Could we add support for it? As .map() can be run in the batch fashion (e.g., batch_size is default to 1000 in datasets), it seems to be doable for IterableDataset as the regular Dataset.... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7192 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7192/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7192/comments | https://api.github.com/repos/huggingface/datasets/issues/7192/events | https://github.com/huggingface/datasets/issues/7192 | 2,562,289,642 | I_kwDODunzps6YuW_q | 7,192 | Add repeat() for iterable datasets | {
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"perhaps concatenate_datasets can already be used to achieve almost the same effect? ",
"`concatenate_datasets` does the job when there is a finite number of repetitions, but in case of `.repeat()` forever we need a new logic in `iterable_dataset.py`",
"done in https://github.com/huggingface/datasets/pull/7198"... | 2024-10-02T17:48:13Z | 2025-03-18T10:48:33Z | 2025-03-18T10:48:32Z | CONTRIBUTOR | null | null | null | null | ### Feature request
It would be useful to be able to straightforwardly repeat iterable datasets indefinitely, to provide complete control over starting and ending of iteration to the user.
An IterableDataset.repeat(n) function could do this automatically
### Motivation
This feature was discussed in this iss... | {
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https://api.github.com/repos/huggingface/datasets/issues/7190 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7190/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7190/comments | https://api.github.com/repos/huggingface/datasets/issues/7190/events | https://github.com/huggingface/datasets/issues/7190 | 2,562,162,725 | I_kwDODunzps6Yt4Al | 7,190 | Datasets conflicts with fsspec 2024.9 | {
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"Yes, I need to use the latest version of fsspec and datasets for my usecase. \r\nhttps://github.com/fsspec/s3fs/pull/888#issuecomment-2404204606\r\nhttps://github.com/apache/arrow/issues/34363#issuecomment-2403553473\r\n\r\nlast version where things install without conflict is: 2.14.4\r\n\r\nSo this issue starts f... | 2024-10-02T16:43:46Z | 2024-10-10T07:33:18Z | null | NONE | null | null | null | null | ### Describe the bug
Installing both in latest versions are not possible
`pip install "datasets==3.0.1" "fsspec==2024.9.0"`
But using older version of datasets is ok
`pip install "datasets==1.24.4" "fsspec==2024.9.0"`
### Steps to reproduce the bug
`pip install "datasets==3.0.1" "fsspec==2024.9.0"`
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https://api.github.com/repos/huggingface/datasets/issues/7189 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7189/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7189/comments | https://api.github.com/repos/huggingface/datasets/issues/7189/events | https://github.com/huggingface/datasets/issues/7189 | 2,562,152,845 | I_kwDODunzps6Yt1mN | 7,189 | Audio preview in dataset viewer for audio array data without a path/filename | {
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] | open | false | null | [] | null | [] | 2024-10-02T16:38:38Z | 2024-10-02T17:01:40Z | null | NONE | null | null | null | null | ### Feature request
Huggingface has quite a comprehensive set of guides for [audio datasets](https://huggingface.co/docs/datasets/en/audio_dataset). It seems, however, all these guides assume the audio array data to be decoded/inserted into a HF dataset always originates from individual files. The [Audio-dataclass](... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7187 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7187/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7187/comments | https://api.github.com/repos/huggingface/datasets/issues/7187/events | https://github.com/huggingface/datasets/issues/7187 | 2,560,501,308 | I_kwDODunzps6YniY8 | 7,187 | shard_data_sources() got an unexpected keyword argument 'worker_id' | {
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```
[rank0]: File "/home/qinghao/miniconda3/envs/doremi/lib/python3.10/site-packages/datasets/iterable_dataset.py", line 238, in __iter__
[rank0]: for key_example in islice(self.generate_examples_fn(**gen_kwags), shard_example_idx_start, None):
[rank0]: File "/home/qinghao/miniconda3/en... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7186 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7186/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7186/comments | https://api.github.com/repos/huggingface/datasets/issues/7186/events | https://github.com/huggingface/datasets/issues/7186 | 2,560,323,917 | I_kwDODunzps6Ym3FN | 7,186 | pinning `dill<0.3.9` without pinning `multiprocess` | {
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The [latest `multiprocess` release](https://github.com/uqfoundation/multiprocess/releases/tag/0.70.17) requires `dill>=0.3.9` which causes issues when installing `datasets` without backtracking during package version resolution. Is it possible to add a pin for multiprocess so something like `multi... | {
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https://api.github.com/repos/huggingface/datasets/issues/7185 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7185/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7185/comments | https://api.github.com/repos/huggingface/datasets/issues/7185/events | https://github.com/huggingface/datasets/issues/7185 | 2,558,508,748 | I_kwDODunzps6Yf77M | 7,185 | CI benchmarks are broken | {
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"Fixed by #7205"
] | 2024-10-01T08:16:08Z | 2024-10-09T16:07:48Z | 2024-10-09T16:07:48Z | MEMBER | null | null | null | null | Since Aug 30, 2024, CI benchmarks are broken: https://github.com/huggingface/datasets/actions/runs/11108421214/job/30861323975
```
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https://api.github.com/repos/huggingface/datasets/issues/7183 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7183/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7183/comments | https://api.github.com/repos/huggingface/datasets/issues/7183/events | https://github.com/huggingface/datasets/issues/7183 | 2,556,789,055 | I_kwDODunzps6YZYE_ | 7,183 | CI is broken for deps-latest | {
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```
=========================== short test summary info ============================
FAILED tests/test_arrow_dataset.py::BaseDatasetTest::test_filter_caching_on_disk - AssertionError: Lists differ: [{'fi[44 chars] {'filename': '/... | {
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https://api.github.com/repos/huggingface/datasets/issues/7180 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7180/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7180/comments | https://api.github.com/repos/huggingface/datasets/issues/7180/events | https://github.com/huggingface/datasets/issues/7180 | 2,554,244,750 | I_kwDODunzps6YPq6O | 7,180 | Memory leak when wrapping datasets into PyTorch Dataset without explicit deletion | {
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"> I've encountered a memory leak when wrapping the HuggingFace dataset into a PyTorch Dataset. The RAM usage constantly increases during iteration if items are not explicitly deleted after use.\r\n\r\nDatasets are memory mapped so they work like SWAP memory. In particular as long as you have RAM available the data... | 2024-09-28T14:00:47Z | 2024-09-30T12:07:56Z | 2024-09-30T12:07:56Z | NONE | null | null | null | null | ### Describe the bug
I've encountered a memory leak when wrapping the HuggingFace dataset into a PyTorch Dataset. The RAM usage constantly increases during iteration if items are not explicitly deleted after use.
### Steps to reproduce the bug
Steps to reproduce:
Create a PyTorch Dataset wrapper f... | {
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https://api.github.com/repos/huggingface/datasets/issues/7178 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7178/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7178/comments | https://api.github.com/repos/huggingface/datasets/issues/7178/events | https://github.com/huggingface/datasets/issues/7178 | 2,552,378,330 | I_kwDODunzps6YIjPa | 7,178 | Support Python 3.11 | {
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https://api.github.com/repos/huggingface/datasets/issues/7175 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7175/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7175/comments | https://api.github.com/repos/huggingface/datasets/issues/7175/events | https://github.com/huggingface/datasets/issues/7175 | 2,550,957,337 | I_kwDODunzps6YDIUZ | 7,175 | [FSTimeoutError] load_dataset | {
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"Is this `FSTimeoutError` due to download network issue from remote resource (from where it is being accessed)?",
"It seems to happen for all datasets, not just a specific one, and especially for versions after 3.0. (3.0.0, 3.0.1 have this problem)\r\n\r\nI had the same error on a different dataset, but after dow... | 2024-09-26T15:42:29Z | 2025-02-01T09:09:35Z | 2024-09-30T17:28:35Z | NONE | null | null | null | null | ### Describe the bug
When using `load_dataset`to load [HuggingFaceM4/VQAv2](https://huggingface.co/datasets/HuggingFaceM4/VQAv2), I am getting `FSTimeoutError`.
### Error
```
TimeoutError:
The above exception was the direct cause of the following exception:
FSTimeoutError Trac... | {
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https://api.github.com/repos/huggingface/datasets/issues/7171 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7171/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7171/comments | https://api.github.com/repos/huggingface/datasets/issues/7171/events | https://github.com/huggingface/datasets/issues/7171 | 2,549,738,919 | I_kwDODunzps6X-e2n | 7,171 | CI is broken: No solution found when resolving dependencies | {
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```
Run uv pip install --system -r additional-tests-requirements.txt --no-deps
× No solution found when resolving dependencies:
╰─▶ Because the current Python version (3.8.18) does not satisfy Python>=3.9
and torchdata=... | {
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> CastError: Couldn't cast ... to ... because column names don't match
Related to:
- #7159
- #7161 | {
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https://api.github.com/repos/huggingface/datasets/issues/7168 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7168/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7168/comments | https://api.github.com/repos/huggingface/datasets/issues/7168/events | https://github.com/huggingface/datasets/issues/7168 | 2,546,710,631 | I_kwDODunzps6Xy7hn | 7,168 | sd1.5 diffusers controlnet training script gives new error | {
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"not sure why the issue is formatting oddly",
"I guess this is a dupe of\r\n\r\nhttps://github.com/huggingface/datasets/issues/7071",
"this turned out to be because of a bad image in dataset",
"@Night1099 could you spiecify what exactly was wrong with your image in the dataset? I think im facing the same issu... | 2024-09-25T01:42:49Z | 2025-09-16T15:38:01Z | 2024-09-30T05:24:02Z | NONE | null | null | null | null | ### Describe the bug
This will randomly pop up during training now
```
Traceback (most recent call last):
File "/workspace/diffusers/examples/controlnet/train_controlnet.py", line 1192, in <module>
main(args)
File "/workspace/diffusers/examples/controlnet/train_controlnet.py", line 1041, in main
... | {
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"this is happening on large datasets, if anyone happens upon this i was able to fix by changing\r\n\r\n```\r\ntrain_dataset = train_dataset.map(compute_embeddings_fn, batched=True, new_fingerprint=new_fingerprint)\r\n```\r\n\r\nto\r\n\r\n```\r\ntrain_dataset = train_dataset.map(compute_embeddings_fn, batched=True, ... | 2024-09-25T01:39:51Z | 2024-09-30T05:28:15Z | 2024-09-30T05:28:04Z | NONE | null | null | null | null | ### Describe the bug
```
Map: 6%|██████ | 8000/138120 [19:27<5:16:36, 6.85 examples/s]
Traceback (most recent call last):
File "/workspace/diffusers/examples/controlnet/train_controlnet_sd3.py", line 1416, in <mod... | {
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https://api.github.com/repos/huggingface/datasets/issues/7164 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7164/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7164/comments | https://api.github.com/repos/huggingface/datasets/issues/7164/events | https://github.com/huggingface/datasets/issues/7164 | 2,544,757,297 | I_kwDODunzps6Xreox | 7,164 | fsspec.exceptions.FSTimeoutError when downloading dataset | {
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"Hi ! If you check the dataset loading script [here](https://huggingface.co/datasets/openslr/librispeech_asr/blob/main/librispeech_asr.py) you'll see that it downloads the data from OpenSLR, and apparently their storage has timeout issues. It would be great to ultimately host the dataset on Hugging Face instead.\r\... | 2024-09-24T08:45:05Z | 2025-07-28T14:58:49Z | 2025-07-28T14:58:49Z | NONE | null | null | null | null | ### Describe the bug
I am trying to download the `librispeech_asr` `clean` dataset, which results in a `FSTimeoutError` exception after downloading around 61% of the data.
### Steps to reproduce the bug
```
import datasets
datasets.load_dataset("librispeech_asr", "clean")
```
The output is as follows:
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https://api.github.com/repos/huggingface/datasets/issues/7163 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7163/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7163/comments | https://api.github.com/repos/huggingface/datasets/issues/7163/events | https://github.com/huggingface/datasets/issues/7163 | 2,542,361,234 | I_kwDODunzps6XiVqS | 7,163 | Set explicit seed in iterable dataset ddp shuffling example | {
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"thanks for reporting !"
] | 2024-09-23T11:34:06Z | 2024-09-24T14:40:15Z | 2024-09-24T14:40:15Z | CONTRIBUTOR | null | null | null | null | ### Describe the bug
In the examples section of the iterable dataset docs https://huggingface.co/docs/datasets/en/package_reference/main_classes#datasets.IterableDataset
the ddp example shuffles without seeding
```python
from datasets.distributed import split_dataset_by_node
ids = ds.to_iterable_dataset(num_sh... | {
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See example: https://huggingface.co/datasets/wikimedia/structured-wikipedia/discussions/5
> ArrowTypeError: struct fields don't match or are in the wrong order: Input fields: struct<> output fields: struct<pov_c... | {
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"Hello,\r\n\r\nI have still the same issue when loading the dataset with the new version:\r\n[https://huggingface.co/datasets/wikimedia/structured-wikipedia/discussions/5](https://huggingface.co/datasets/wikimedia/structured-wikipedia/discussions/5)\r\n\r\nI have downloaded and unzipped the wikimedia/structured-wik... | 2024-09-23T07:57:58Z | 2024-10-21T08:07:07Z | 2024-09-23T11:09:18Z | MEMBER | null | null | null | null | JSON lines with missing struct fields raise TypeError: Couldn't cast array of type.
See example: https://huggingface.co/datasets/wikimedia/structured-wikipedia/discussions/5
One would expect that the struct missing fields are added with null values. | {
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"It also does preserve `split_by_node`, so in the meantime you should call `shuffle` or `split_by_node` AFTER `interleave_datasets` or `concatenate_datasets`"
] | 2024-09-20T17:57:54Z | 2025-03-18T10:56:25Z | null | NONE | null | null | null | null | ### Describe the bug
```
import datasets
import torch.utils.data
def gen(shards):
yield {"shards": shards}
def main():
dataset = datasets.IterableDataset.from_generator(
gen,
gen_kwargs={'shards': list(range(25))}
)
dataset = dataset.shuffle(buffer_size=1)
dataset... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7155 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7155/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7155/comments | https://api.github.com/repos/huggingface/datasets/issues/7155/events | https://github.com/huggingface/datasets/issues/7155 | 2,533,641,870 | I_kwDODunzps6XBE6O | 7,155 | Dataset viewer not working! Failure due to more than 32 splits. | {
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"I have fixed it! But I would appreciate a new feature wheere I could iterate over and see what each file looks like. "
] | 2024-09-18T12:43:21Z | 2024-09-18T13:20:03Z | 2024-09-18T13:20:03Z | NONE | null | null | null | null | Hello guys,
I have a dataset and I didn't know I couldn't upload more than 32 splits. Now, my dataset viewer is not working. I don't have the dataset locally on my node anymore and recreating would take a week. And I have to publish the dataset coming Monday. I read about the practice, how I can resolve it and avoi... | {
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https://api.github.com/repos/huggingface/datasets/issues/7153 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7153/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7153/comments | https://api.github.com/repos/huggingface/datasets/issues/7153/events | https://github.com/huggingface/datasets/issues/7153 | 2,532,788,555 | I_kwDODunzps6W90lL | 7,153 | Support data files with .ndjson extension | {
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Support data files with `.ndjson` extension.
### Motivation
We already support data files with `.jsonl` extension.
### Your contribution
I am opening a PR. | {
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https://api.github.com/repos/huggingface/datasets/issues/7150 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7150/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7150/comments | https://api.github.com/repos/huggingface/datasets/issues/7150/events | https://github.com/huggingface/datasets/issues/7150 | 2,527,571,175 | I_kwDODunzps6Wp6zn | 7,150 | WebDataset loader splits keys differently than WebDataset library | {
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For example, we get a different key splitting for filename `/some/path/22.0/1.1.png`:
... | {
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https://api.github.com/repos/huggingface/datasets/issues/7149 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7149/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7149/comments | https://api.github.com/repos/huggingface/datasets/issues/7149/events | https://github.com/huggingface/datasets/issues/7149 | 2,524,497,448 | I_kwDODunzps6WeMYo | 7,149 | Datasets Unknown Keyword Argument Error - task_templates | {
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"Thanks, for reporting.\r\n\r\nWe have been fixing most Hub datasets to remove the deprecated (and now non-supported) task templates, but we missed the \"facebook/winoground\".\r\n\r\nIt is fixed now: https://huggingface.co/datasets/facebook/winoground/discussions/8\r\n\r\n",
"Hello @albertvillanova \r\n\r\nI got... | 2024-09-13T10:30:57Z | 2025-03-06T07:11:55Z | 2024-09-13T14:10:48Z | NONE | null | null | null | null | ### Describe the bug
Issue
```python
from datasets import load_dataset
examples = load_dataset('facebook/winoground', use_auth_token=<YOUR USER ACCESS TOKEN>)
```
Gives error
```
TypeError: DatasetInfo.__init__() got an unexpected keyword argument 'task_templates'
```
A simple downgrade to lower `data... | {
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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 | NONE | null | null | null | null | ### 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/7147 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7147/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7147/comments | https://api.github.com/repos/huggingface/datasets/issues/7147/events | https://github.com/huggingface/datasets/issues/7147 | 2,523,129,465 | I_kwDODunzps6WY-Z5 | 7,147 | IterableDataset strange deadlock | {
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"Yes `interleave_datasets` seems to have an issue with shuffling, could you open a new issue on this ?\r\n\r\nThen regarding the deadlock, it has to do with interleave_dataset with probabilities=[1, 0] with workers that may contain an empty dataset in first position (it can be empty since you distribute 1024 shard ... | 2024-09-12T18:59:33Z | 2024-09-23T09:32:27Z | 2024-09-21T17:37:34Z | NONE | null | null | null | null | ### Describe the bug
```
import datasets
import torch.utils.data
num_shards = 1024
def gen(shards):
for shard in shards:
if shard < 25:
yield {"shard": shard}
def main():
dataset = datasets.IterableDataset.from_generator(
gen,
gen_kwargs={"shards": lis... | {
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https://api.github.com/repos/huggingface/datasets/issues/7142 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7142/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7142/comments | https://api.github.com/repos/huggingface/datasets/issues/7142/events | https://github.com/huggingface/datasets/issues/7142 | 2,512,244,938 | I_kwDODunzps6VvdDK | 7,142 | Specifying datatype when adding a column to a dataset. | {
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"#self-assign"
] | 2024-09-08T07:34:24Z | 2024-09-17T03:46:32Z | 2024-09-17T03:46:32Z | CONTRIBUTOR | null | null | null | null | ### Feature request
There should be a way to specify the datatype of a column in `datasets.add_column()`.
### Motivation
To specify a custom datatype, we have to use `datasets.add_column()` followed by `datasets.cast_column()` which is slow for large datasets. Another workaround is to pass a `numpy.array()` of desi... | {
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https://api.github.com/repos/huggingface/datasets/issues/7141 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7141/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7141/comments | https://api.github.com/repos/huggingface/datasets/issues/7141/events | https://github.com/huggingface/datasets/issues/7141 | 2,510,797,653 | I_kwDODunzps6Vp7tV | 7,141 | Older datasets throwing safety errors with 2.21.0 | {
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"I am also getting this error with this dataset: https://huggingface.co/datasets/google/IFEval",
"Me too, didn't have this issue few hours ago.",
"same observation. I even downgraded `datasets==2.20.0` and `huggingface_hub==0.23.5` leading me to believe it's an issue on the server.\r\n\r\nany known workarounds?... | 2024-09-06T16:26:30Z | 2024-09-06T21:14:14Z | 2024-09-06T19:09:29Z | NONE | null | null | null | null | ### Describe the bug
The dataset loading was throwing some safety errors for this popular dataset `wmt14`.
[in]:
```
import datasets
# train_data = datasets.load_dataset("wmt14", "de-en", split="train")
train_data = datasets.load_dataset("wmt14", "de-en", split="train")
val_data = datasets.load_dataset(... | {
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https://api.github.com/repos/huggingface/datasets/issues/7139 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7139/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7139/comments | https://api.github.com/repos/huggingface/datasets/issues/7139/events | https://github.com/huggingface/datasets/issues/7139 | 2,508,078,858 | I_kwDODunzps6Vfj8K | 7,139 | Use load_dataset to load imagenet-1K But find a empty dataset | {
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"Imagenet-1k is a gated dataset which means you’ll have to agree to share your contact info to access it. Have you tried this yet? Once you have, you can sign in with your user token (you can find this in your Hugging Face account settings) when prompted by running.\r\n\r\n```\r\nhuggingface-cli login\r\ntrain_set... | 2024-09-05T15:12:22Z | 2024-10-09T04:02:41Z | null | NONE | null | null | null | null | ### Describe the bug
```python
def get_dataset(data_path, train_folder="train", val_folder="val"):
traindir = os.path.join(data_path, train_folder)
valdir = os.path.join(data_path, val_folder)
def transform_val_examples(examples):
transform = Compose([
Resize(256),
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7138 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7138/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7138/comments | https://api.github.com/repos/huggingface/datasets/issues/7138/events | https://github.com/huggingface/datasets/issues/7138 | 2,507,738,308 | I_kwDODunzps6VeQzE | 7,138 | Cache only changed columns? | {
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"so I guess a workaround to this is to simply remove all columns except the ones to cache and then add them back with `concatenate_datasets(..., axis=1)`.",
"yes this is the right workaround. We're keeping the cache like this to make it easier for people to delete intermediate cache files"
] | 2024-09-05T12:56:47Z | 2024-09-20T13:27:20Z | null | CONTRIBUTOR | null | null | null | null | ### Feature request
Cache only the actual changes to the dataset i.e. changed columns.
### Motivation
I realized that caching actually saves the complete dataset again.
This is especially problematic for image datasets if one wants to only change another column e.g. some metadata and then has to save 5 TB again.
#... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7137 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7137/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7137/comments | https://api.github.com/repos/huggingface/datasets/issues/7137/events | https://github.com/huggingface/datasets/issues/7137 | 2,506,851,048 | I_kwDODunzps6Va4Lo | 7,137 | [BUG] dataset_info sequence unexpected behavior in README.md YAML | {
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"The non-sequence case works well (`dict[str, str]` instead of `list[dict[str, str]]`), which makes me believe it shall be a bug for `sequence` and my proposed behavior shall be expected.\r\n```\r\ndataset_info:\r\n- config_name: default\r\n features:\r\n - name: answers\r\n dtype:\r\n - name: text\r\n ... | 2024-09-05T06:06:06Z | 2025-07-07T09:20:29Z | 2025-07-04T19:50:59Z | NONE | null | null | null | null | ### Describe the bug
When working on `dataset_info` yaml, I find my data column with format `list[dict[str, str]]` cannot be coded correctly.
My data looks like
```
{"answers":[{"text": "ADDRESS", "label": "abc"}]}
```
My `dataset_info` in README.md is:
```
dataset_info:
- config_name: default
feature... | {
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https://api.github.com/repos/huggingface/datasets/issues/7135 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7135/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7135/comments | https://api.github.com/repos/huggingface/datasets/issues/7135/events | https://github.com/huggingface/datasets/issues/7135 | 2,503,318,328 | I_kwDODunzps6VNZs4 | 7,135 | Bug: Type Mismatch in Dataset Mapping | {
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"By the way, following code is working. This show the inconsistentcy.\r\n```python\r\nfrom datasets import Dataset\r\n\r\n# Original data\r\ndata = {\r\n 'text': ['Hello', 'world', 'this', 'is', 'a', 'test'],\r\n 'label': [0, 1, 0, 1, 1, 0]\r\n}\r\n\r\n# Creating a Dataset object\r\ndataset = Dataset.from_dic... | 2024-09-03T16:37:01Z | 2024-09-05T14:09:05Z | null | NONE | null | null | null | null | # Issue: Type Mismatch in Dataset Mapping
## Description
There is an issue with the `map` function in the `datasets` library where the mapped output does not reflect the expected type change. After applying a mapping function to convert an integer label to a string, the resulting type remains an integer instead of ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7134 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7134/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7134/comments | https://api.github.com/repos/huggingface/datasets/issues/7134/events | https://github.com/huggingface/datasets/issues/7134 | 2,499,484,041 | I_kwDODunzps6U-xmJ | 7,134 | Attempting to return a rank 3 grayscale image from dataset.map results in extreme slowdown | {
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Background: Digital images are often represented as a (Height, Width, Channel) tensor. This is the same for huggingface datasets that contain images. These images are loaded in Pillow containers which offer, for example, the `.convert` method.
I can convert an image from a (H,W,3) shape to a... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7129 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7129/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7129/comments | https://api.github.com/repos/huggingface/datasets/issues/7129/events | https://github.com/huggingface/datasets/issues/7129 | 2,491,942,650 | I_kwDODunzps6UiAb6 | 7,129 | Inconsistent output in documentation example: `num_classes` not displayed in `ClassLabel` output | {
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````
from datasets import Features
features = Features({'label': ClassLabel(num_classes=3, names=['bad', 'ok', 'good'])})
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https://api.github.com/repos/huggingface/datasets/issues/7128 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7128/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7128/comments | https://api.github.com/repos/huggingface/datasets/issues/7128/events | https://github.com/huggingface/datasets/issues/7128 | 2,490,274,775 | I_kwDODunzps6UbpPX | 7,128 | Filter Large Dataset Entry by Entry | {
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"Hi ! you can do\r\n\r\n```python\r\nfiltered_dataset = dataset.filter(filter_function)\r\n```\r\n\r\non a subset:\r\n\r\n```python\r\nfiltered_subset = dataset.select(range(10_000)).filter(filter_function)\r\n```\r\n",
"Jumping on this as it seems relevant - when I use the `filter` method, it often results in an... | 2024-08-27T20:31:09Z | 2024-10-07T23:37:44Z | null | NONE | null | null | null | null | ### Feature request
I am not sure if this is a new feature, but I wanted to post this problem here, and hear if others have ways of optimizing and speeding up this process.
Let's say I have a really large dataset that I cannot load into memory. At this point, I am only aware of `streaming=True` to load the dataset.... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7127 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7127/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7127/comments | https://api.github.com/repos/huggingface/datasets/issues/7127/events | https://github.com/huggingface/datasets/issues/7127 | 2,486,524,966 | I_kwDODunzps6UNVwm | 7,127 | Caching shuffles by np.random.Generator results in unintiutive behavior | {
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"I first thought this was a mistake of mine, and also posted on stack overflow. https://stackoverflow.com/questions/78913797/iterating-a-huggingface-dataset-from-disk-using-generator-seems-broken-how-to-d \r\n\r\nIt seems to me the issue is the caching step in \r\n\r\nhttps://github.com/huggingface/datasets/blob/be... | 2024-08-26T10:29:48Z | 2025-07-28T11:00:00Z | null | NONE | null | null | null | null | ### Describe the bug
Create a dataset. Save it to disk. Load from disk. Shuffle, usning a `np.random.Generator`. Iterate. Shuffle again. Iterate. The iterates are different since the supplied np.random.Generator has progressed between the shuffles.
Load dataset from disk again. Shuffle and Iterate. See same result ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7123 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7123/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7123/comments | https://api.github.com/repos/huggingface/datasets/issues/7123/events | https://github.com/huggingface/datasets/issues/7123 | 2,484,003,937 | I_kwDODunzps6UDuRh | 7,123 | Make dataset viewer more flexible in displaying metadata alongside images | {
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"Note that you can already have one directory per subset just for the metadata, e.g.\r\n\r\n```\r\nconfigs:\r\n - config_name: subset0\r\n data_files:\r\n - subset0/metadata.csv\r\n - images/*.jpg\r\n - config_name: subset1\r\n data_files:\r\n - subset1/metadata.csv\r\n - images/*.jpg\r\... | 2024-08-23T22:56:01Z | 2024-10-17T09:13:47Z | null | NONE | null | null | null | null | ### Feature request
To display images with their associated metadata in the dataset viewer, a `metadata.csv` file is required. In the case of a dataset with multiple subsets, this would require the CSVs to be contained in the same folder as the images since they all need to be named `metadata.csv`. The request is th... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7122 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7122/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7122/comments | https://api.github.com/repos/huggingface/datasets/issues/7122/events | https://github.com/huggingface/datasets/issues/7122 | 2,482,491,258 | I_kwDODunzps6T9896 | 7,122 | [interleave_dataset] sample batches from a single source at a time | {
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interleave_dataset and [RandomlyCyclingMultiSourcesExamplesIterable](https://github.com/huggingface/datasets/blob/3813ce846e52824b38e53895810682f0a496a2e3/src/datasets/iterable_dataset.py#L816) enable us to sample data examples from different sources. But can we also sample batches in a similar man... | 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 | NONE | null | null | null | null | 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/7116 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7116/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7116/comments | https://api.github.com/repos/huggingface/datasets/issues/7116/events | https://github.com/huggingface/datasets/issues/7116 | 2,475,522,721 | I_kwDODunzps6TjXqh | 7,116 | datasets cannot handle nested json if features is given. | {
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"Hi ! `Sequence` has a weird behavior for dictionaries (from tensorflow-datasets), use a regular list instead:\r\n\r\n```python\r\nds = datasets.load_dataset('json', data_files=\"./temp.json\", features=datasets.Features({\r\n 'ref1': datasets.Value('string'),\r\n 'ref2': datasets.Value('string'),\r\n 'cut... | 2024-08-20T12:27:49Z | 2024-09-03T10:18:23Z | 2024-09-03T10:18:07Z | NONE | null | null | null | null | ### Describe the bug
I have a json named temp.json.
```json
{"ref1": "ABC", "ref2": "DEF", "cuts":[{"cut1": 3, "cut2": 5}]}
```
I want to load it.
```python
ds = datasets.load_dataset('json', data_files="./temp.json", features=datasets.Features({
'ref1': datasets.Value('string'),
'ref2': datasets.Value... | {
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https://api.github.com/repos/huggingface/datasets/issues/7115 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7115/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7115/comments | https://api.github.com/repos/huggingface/datasets/issues/7115/events | https://github.com/huggingface/datasets/issues/7115 | 2,475,363,142 | I_kwDODunzps6TiwtG | 7,115 | module 'pyarrow.lib' has no attribute 'ListViewType' | {
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"... | [] | closed | false | null | [] | null | [
"https://github.com/neurafusionai/Hugging_Face/blob/main/meta_opt_350m_customer_support_lora_v1.ipynb\r\n\r\ncouldnt train because of GPU\r\nI didnt pip install datasets -U\r\nbut looks like restarting worked"
] | 2024-08-20T11:05:44Z | 2024-09-10T06:51:08Z | 2024-09-10T06:51:08Z | NONE | null | null | null | null | ### Describe the bug
Code:
`!pipuninstall -y pyarrow
!pip install --no-cache-dir pyarrow
!pip uninstall -y pyarrow
!pip install pyarrow --no-cache-dir
!pip install --upgrade datasets transformers pyarrow
!pip install pyarrow.parquet
! pip install pyarrow-core libparquet
!pip install pyarrow --no-cache-di... | {
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https://api.github.com/repos/huggingface/datasets/issues/7113 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7113/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7113/comments | https://api.github.com/repos/huggingface/datasets/issues/7113/events | https://github.com/huggingface/datasets/issues/7113 | 2,475,029,640 | I_kwDODunzps6ThfSI | 7,113 | Stream dataset does not iterate if the batch size is larger than the dataset size (related to drop_last_batch) | {
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"That's expected behavior, it's also the same in `torch`:\r\n\r\n```python\r\n>>> list(DataLoader(list(range(5)), batch_size=10, drop_last=True))\r\n[]\r\n```"
] | 2024-08-20T08:26:40Z | 2024-08-26T04:24:11Z | 2024-08-26T04:24:10Z | NONE | null | null | null | null | ### Describe the bug
Hi there,
I use streaming and interleaving to combine multiple datasets saved in jsonl files. The size of dataset can vary (from 100ish to 100k-ish). I use dataset.map() and a big batch size to reduce the IO cost. It was working fine with datasets-2.16.1 but this problem shows up after I upgr... | {
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https://api.github.com/repos/huggingface/datasets/issues/7112 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7112/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7112/comments | https://api.github.com/repos/huggingface/datasets/issues/7112/events | https://github.com/huggingface/datasets/issues/7112 | 2,475,004,644 | I_kwDODunzps6ThZLk | 7,112 | cudf-cu12 24.4.1, ibis-framework 8.0.0 requires pyarrow<15.0.0a0,>=14.0.1,pyarrow<16,>=2 and datasets 2.21.0 requires pyarrow>=15.0.0 | {
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"@sayakpaul please advice ",
"Hits the same dependency conflict"
] | 2024-08-20T08:13:55Z | 2024-09-20T15:30:03Z | null | NONE | null | null | null | null | ### Describe the bug
!pip install accelerate>=0.16.0 torchvision transformers>=4.25.1 datasets>=2.19.1 ftfy tensorboard Jinja2 peft==0.7.0
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
c... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7111 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7111/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7111/comments | https://api.github.com/repos/huggingface/datasets/issues/7111/events | https://github.com/huggingface/datasets/issues/7111 | 2,474,915,845 | I_kwDODunzps6ThDgF | 7,111 | CI is broken for numpy-2: Failed to fetch wheel: llvmlite==0.34.0 | {
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"Note that the CI before was using:\r\n- llvmlite: 0.43.0\r\n- numba: 0.60.0\r\n\r\nNow it tries to use:\r\n- llvmlite: 0.34.0\r\n- numba: 0.51.2",
"The issue is because numba-0.60.0 pins numpy<2.1 and `uv` tries to install latest numpy-2.1.0 with an old numba-0.51.0 version (and llvmlite-0.34.0). See discussion ... | 2024-08-20T07:27:28Z | 2024-08-21T05:05:36Z | 2024-08-20T09:02:36Z | MEMBER | null | null | null | null | Ci is broken with error `Failed to fetch wheel: llvmlite==0.34.0`: https://github.com/huggingface/datasets/actions/runs/10466825281/job/28984414269
```
Run uv pip install --system "datasets[tests_numpy2] @ ."
Resolved 150 packages in 4.42s
error: Failed to prepare distributions
Caused by: Failed to fetch wheel: ... | {
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https://api.github.com/repos/huggingface/datasets/issues/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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"following_url": "https://api.github.com/users/albertvillanova/following{/o... | null | [] | 2024-08-19T13:27:45Z | 2024-08-20T09:14:36Z | 2024-08-20T09:14:35Z | MEMBER | null | null | null | null | Since the Hub returns dataset info for gated datasets and unauthenticated users, there is dead code: https://github.com/huggingface/datasets/blob/98fdc9e78e6d057ca66e58a37f49d6618aab8130/src/datasets/load.py#L1846-L1852
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/7108 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7108/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7108/comments | https://api.github.com/repos/huggingface/datasets/issues/7108/events | https://github.com/huggingface/datasets/issues/7108 | 2,470,665,327 | I_kwDODunzps6TQ1xv | 7,108 | website broken: Create a new dataset repository, doesn't create a new repo in Firefox | {
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"I don't reproduce, I was able to create a new repo: https://huggingface.co/datasets/severo/reproduce-datasets-issues-7108. Can you confirm it's still broken?",
"I have just tried again.\r\n\r\nFirefox: The `Create dataset` doesn't work. It has worked in the past. It's my preferred browser.\r\n\r\nChrome: The `Cr... | 2024-08-16T17:23:00Z | 2024-08-19T13:21:12Z | 2024-08-19T06:52:48Z | NONE | null | null | null | null | ### Describe the bug
This issue is also reported here:
https://discuss.huggingface.co/t/create-a-new-dataset-repository-broken-page/102644
This page is broken.
https://huggingface.co/new-dataset
I fill in the form with my text, and click `Create Dataset`.
![Screenshot 2024-08-16 at 15 55 37](https://github.... | {
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https://api.github.com/repos/huggingface/datasets/issues/7107 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7107/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7107/comments | https://api.github.com/repos/huggingface/datasets/issues/7107/events | https://github.com/huggingface/datasets/issues/7107 | 2,470,444,732 | I_kwDODunzps6TP_68 | 7,107 | load_dataset broken in 2.21.0 | {
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"There seems to be a PR related to the load_dataset path that went into 2.21.0 -- https://github.com/huggingface/datasets/pull/6862/files\r\n\r\nTaking a look at it now",
"+1\r\n\r\nDowngrading to 2.20.0 fixed my issue, hopefully helpful for others.",
"I tried adding a simple test to `test_load.py` with the alp... | 2024-08-16T14:59:51Z | 2024-08-18T09:28:43Z | 2024-08-18T09:27:12Z | NONE | null | null | null | null | ### Describe the bug
`eval_set = datasets.load_dataset("tatsu-lab/alpaca_eval", "alpaca_eval_gpt4_baseline", trust_remote_code=True)`
used to work till 2.20.0 but doesn't work in 2.21.0
In 2.20.0:
![Screenshot 2024-08-16 at 3 57 10 PM](https://github.com/user-attachments/assets/0516489b-8187-486d-bee8-88af3381de... | {
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https://api.github.com/repos/huggingface/datasets/issues/7102 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7102/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7102/comments | https://api.github.com/repos/huggingface/datasets/issues/7102/events | https://github.com/huggingface/datasets/issues/7102 | 2,466,893,106 | I_kwDODunzps6TCc0y | 7,102 | Slow iteration speeds when using IterableDataset.shuffle with load_dataset(data_files=..., streaming=True) | {
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"Hi @lajd , I was skeptical about how we are saving the shards each as their own dataset (arrow file) in the script above, and so I updated the script to try out saving the shards in a few different file formats. From the experiments I ran, I saw binary format show significantly the best performance, with arrow a... | 2024-08-14T21:44:44Z | 2024-08-15T16:17:31Z | null | NONE | null | null | null | null | ### Describe the bug
When I load a dataset from a number of arrow files, as in:
```
random_dataset = load_dataset(
"arrow",
data_files={split: shard_filepaths},
streaming=True,
split=split,
)
```
I'm able to get fast iteration speeds when iterating over the dataset without shuffling.
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7101 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7101/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7101/comments | https://api.github.com/repos/huggingface/datasets/issues/7101/events | https://github.com/huggingface/datasets/issues/7101 | 2,466,510,783 | I_kwDODunzps6TA_e_ | 7,101 | `load_dataset` from Hub with `name` to specify `config` using incorrect builder type when multiple data formats are present | {
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"Having looked into this further it seems the core of the issue is with two different formats in the same repo.\r\n\r\nWhen the `parquet` config is first, the `WebDataset`s are loaded as `parquet`, if the `WebDataset` configs are first, the `parquet` is loaded as `WebDataset`.\r\n\r\nA workaround in my case would b... | 2024-08-14T18:12:25Z | 2024-08-18T10:33:38Z | null | NONE | null | null | null | null | Following [documentation](https://huggingface.co/docs/datasets/repository_structure#define-your-splits-and-subsets-in-yaml) I had defined different configs for [`Dataception`](https://huggingface.co/datasets/bigdata-pw/Dataception), a dataset of datasets:
```yaml
configs:
- config_name: dataception
data_files:
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https://api.github.com/repos/huggingface/datasets/issues/7100 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7100/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7100/comments | https://api.github.com/repos/huggingface/datasets/issues/7100/events | https://github.com/huggingface/datasets/issues/7100 | 2,465,529,414 | I_kwDODunzps6S9P5G | 7,100 | IterableDataset: cannot resolve features from list of numpy arrays | {
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"Assign this issue to me under Hacktoberfest with hacktoberfest label inserted on the issue"
] | 2024-08-14T11:01:51Z | 2024-10-03T05:47:23Z | null | NONE | null | null | null | null | ### Describe the bug
when resolve features of `IterableDataset`, got `pyarrow.lib.ArrowInvalid: Can only convert 1-dimensional array values` error.
```
Traceback (most recent call last):
File "test.py", line 6
iter_ds = iter_ds._resolve_features()
File "lib/python3.10/site-packages/datasets/iterable_dat... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7097 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7097/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7097/comments | https://api.github.com/repos/huggingface/datasets/issues/7097/events | https://github.com/huggingface/datasets/issues/7097 | 2,458,455,489 | I_kwDODunzps6SiQ3B | 7,097 | Some of DownloadConfig's properties are always being overridden in load.py | {
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The `extract_compressed_file` and `force_extract` properties of DownloadConfig are always being set to True in the function `dataset_module_factory` in the `load.py` file. This behavior is very annoying because data extracted will just be ignored the next time the dataset is loaded.
See this im... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7093 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7093/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7093/comments | https://api.github.com/repos/huggingface/datasets/issues/7093/events | https://github.com/huggingface/datasets/issues/7093 | 2,454,413,074 | I_kwDODunzps6SS18S | 7,093 | Add Arabic Docs to datasets | {
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] | open | false | null | [] | null | [] | 2024-08-07T21:48:05Z | 2024-08-07T21:48:05Z | null | NONE | null | null | null | null | ### Feature request
Add Arabic Docs to datasets
[Datasets Arabic](https://github.com/AhmedAlmaghz/datasets/blob/main/docs/source/ar/index.mdx)
### Motivation
@AhmedAlmaghz
https://github.com/AhmedAlmaghz/datasets/blob/main/docs/source/ar/index.mdx
### Your contribution
@AhmedAlmaghz
https://github.com/AhmedAlma... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7092 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7092/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7092/comments | https://api.github.com/repos/huggingface/datasets/issues/7092/events | https://github.com/huggingface/datasets/issues/7092 | 2,451,393,658 | I_kwDODunzps6SHUx6 | 7,092 | load_dataset with multiple jsonlines files interprets datastructure too early | {
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"I’ll take a look",
"Possible definitions of done for this issue:\r\n\r\n1. A fix so you can load your dataset specifically\r\n2. A general fix for datasets similar to this in the `datasets` library\r\n\r\nOption 1 is trivial. I think option 2 requires significant changes to the library.\r\n\r\nSince you outlined... | 2024-08-06T17:42:55Z | 2024-08-08T16:35:01Z | null | NONE | null | null | null | null | ### Describe the bug
likely related to #6460
using `datasets.load_dataset("json", data_dir= ... )` with multiple `.jsonl` files will error if one of the files (maybe the first file?) contains a full column of empty data.
### Steps to reproduce the bug
real world example:
data is available in this [PR-bra... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7090 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7090/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7090/comments | https://api.github.com/repos/huggingface/datasets/issues/7090/events | https://github.com/huggingface/datasets/issues/7090 | 2,449,699,490 | I_kwDODunzps6SA3Ki | 7,090 | The test test_move_script_doesnt_change_hash fails because it runs the 'python' command while the python executable has a different name | {
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Tests should use the same pythin path as they are launched with, which in the case of FreeBSD is /usr/local/bin/python3.11
Failure:
```
if err_filename is not None:
> raise child_exception_type(errno_num, err_msg, err_filename)
E FileNotFo... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7089 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7089/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7089/comments | https://api.github.com/repos/huggingface/datasets/issues/7089/events | https://github.com/huggingface/datasets/issues/7089 | 2,449,479,500 | I_kwDODunzps6SABdM | 7,089 | Missing pyspark dependency causes the testsuite to error out, instead of a few tests to be skipped | {
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see the subject
### Steps to reproduce the bug
regular tests
### Expected behavior
n/a
### Environment info
version 2.20.0 | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7088 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7088/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7088/comments | https://api.github.com/repos/huggingface/datasets/issues/7088/events | https://github.com/huggingface/datasets/issues/7088 | 2,447,383,940 | I_kwDODunzps6R4B2E | 7,088 | Disable warning when using with_format format on tensors | {
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] | open | false | null | [] | null | [] | 2024-08-05T00:45:50Z | 2024-08-05T00:45:50Z | null | NONE | null | null | null | null | ### Feature request
If we write this code:
```python
"""Get data and define datasets."""
from enum import StrEnum
from datasets import load_dataset
from torch.utils.data import DataLoader
from torchvision import transforms
class Split(StrEnum):
"""Describes what type of split to use in the dataloa... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7087 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7087/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7087/comments | https://api.github.com/repos/huggingface/datasets/issues/7087/events | https://github.com/huggingface/datasets/issues/7087 | 2,447,158,643 | I_kwDODunzps6R3K1z | 7,087 | Unable to create dataset card for Lushootseed language | {
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"Thanks for reporting.\r\n\r\nIt is weird, because the language entry is in the list. See: https://github.com/huggingface/huggingface.js/blob/98e32f0ed4ee057a596f66a1dec738e5db9643d5/packages/languages/src/languages_iso_639_3.ts#L15186-L15189\r\n\r\nI have reported the issue:\r\n- https://github.com/huggingface/hug... | 2024-08-04T14:27:04Z | 2024-08-06T06:59:23Z | 2024-08-06T06:59:22Z | NONE | null | null | null | null | ### Feature request
While I was creating the dataset which contained all documents from the Lushootseed Wikipedia, the dataset card asked me to enter which language the dataset was in. Since Lushootseed is a critically endangered language, it was not available as one of the options. Is it possible to allow entering la... | {
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https://api.github.com/repos/huggingface/datasets/issues/7086 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7086/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7086/comments | https://api.github.com/repos/huggingface/datasets/issues/7086/events | https://github.com/huggingface/datasets/issues/7086 | 2,445,516,829 | I_kwDODunzps6Rw6Ad | 7,086 | load_dataset ignores cached datasets and tries to hit HF Hub, resulting in API rate limit errors | {
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"I'm having the same issue - running into rate limits when doing hyperparameter tuning even though the dataset is supposed to be cached. I feel like this behaviour should at the very least be documented, but honestly you should just not be running into rate limits in the first place when the dataset is cached. It e... | 2024-08-02T18:12:23Z | 2025-06-16T18:43:29Z | null | NONE | null | null | null | null | ### Describe the bug
I have been running lm-eval-harness a lot which has results in an API rate limit. This seems strange, since all of the data should be cached locally. I have in fact verified this.
### Steps to reproduce the bug
1. Be Me
2. Run `load_dataset("TAUR-Lab/MuSR")`
3. Hit rate limit error
4. Dataset... | null | {
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"@lhoestq I detected this regression over on [DataDreamer](https://github.com/datadreamer-dev/DataDreamer)'s test suite. I put in these [monkey patches](https://github.com/datadreamer-dev/DataDreamer/blob/4cbaf9f39cf7bedde72bbaa68346e169788fbecb/src/_patches/datasets_reset_state_hack.py) in case that fixed it our t... | 2024-07-31T13:01:59Z | 2024-08-22T14:49:37Z | 2024-08-22T14:49:07Z | NONE | null | null | null | null | ### Describe the bug
In the latest version of datasets there is a major regression, after creating an `IterableDataset` from a generator and applying a few operations (`map`, `select`), you can no longer iterate through the dataset multiple times.
The issue seems to stem from the recent addition of "resumable Itera... | {
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https://api.github.com/repos/huggingface/datasets/issues/7084 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7084/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7084/comments | https://api.github.com/repos/huggingface/datasets/issues/7084/events | https://github.com/huggingface/datasets/issues/7084 | 2,439,519,534 | I_kwDODunzps6RaB0u | 7,084 | More easily support streaming local files | {
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] | open | false | null | [] | null | [] | 2024-07-31T09:03:15Z | 2024-07-31T09:05:58Z | null | CONTRIBUTOR | null | null | null | null | ### Feature request
Simplify downloading and streaming datasets locally. Specifically, perhaps add an option to `load_dataset(..., streaming="download_first")` or add better support for streaming symlinked or arrow files.
### Motivation
I have downloaded FineWeb-edu locally and currently trying to stream the d... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7080 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7080/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7080/comments | https://api.github.com/repos/huggingface/datasets/issues/7080/events | https://github.com/huggingface/datasets/issues/7080 | 2,434,275,664 | I_kwDODunzps6RGBlQ | 7,080 | Generating train split takes a long time | {
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"@alexanderswerdlow \r\nWhen no specific split is mentioned, the load_dataset library will load all available splits of the dataset. For example, if a dataset has \"train\" and \"test\" splits, the load_dataset function will load both into the DatasetDict object.\r\n\r\n![image](https://github.com/user-attachments/... | 2024-07-29T01:42:43Z | 2024-10-02T15:31:22Z | null | NONE | null | null | null | null | ### Describe the bug
Loading a simple webdataset takes ~45 minutes.
### Steps to reproduce the bug
```
from datasets import load_dataset
dataset = load_dataset("PixArt-alpha/SAM-LLaVA-Captions10M")
```
### Expected behavior
The dataset should load immediately as it does when loaded through a normal indexed WebD... | null | {
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