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https://api.github.com/repos/huggingface/datasets/issues/8120 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8120/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8120/comments | https://api.github.com/repos/huggingface/datasets/issues/8120/events | https://github.com/huggingface/datasets/issues/8120 | 4,201,197,701 | I_kwDODunzps76aTCF | 8,120 | Patch fields truncated — missing trailing newlines | {
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Affected instances (confirmed): atlanhq_atlan-python... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8116 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8116/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8116/comments | https://api.github.com/repos/huggingface/datasets/issues/8116/events | https://github.com/huggingface/datasets/issues/8116 | 4,197,189,620 | I_kwDODunzps76LAf0 | 8,116 | `to_json()` serializes `Json()` feature as escaped string instead of native JSON object | {
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When a dataset column uses the `Json()` feature type, calling `to_json()` writes the value as an escaped JSON string (e.g., `"{\"cat_a\":1,\"cat_b\":2}"`) instead of a native JSON object (e.g., `{"cat_a":1,"cat_b":2}`).
This causes two problems:
1. The output JSON file is not interoperable with ... | null | {
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"Hi! I ran into this issue as well, I think the root cause was that under `_batch_json()` of `JsonDatasetWriter` it was directly exporting the encoded string without decoding it first. I will try to add a PR with a small fix. ",
"#self-assign"
] |
https://api.github.com/repos/huggingface/datasets/issues/8110 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8110/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8110/comments | https://api.github.com/repos/huggingface/datasets/issues/8110/events | https://github.com/huggingface/datasets/issues/8110 | 4,176,918,326 | I_kwDODunzps749rc2 | 8,110 | `set_format` resets features | {
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Calling `dataset.set_format('...')` resets the informative features such as `Array2D` etc. back into `List(List(Value))` and so on.
### Steps to reproduce the bug
```py
>>> dataset.features
{'lld': Array2D(shape=(None, 26), dtype='float32')}
>>> dataset.set_format('torch')
>>> dataset.features
... | null | {
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"couldn't replicate with: \n\n``` bash\nPlatform: macos\npython: 3.10.9\ndatasets: 4.8.4\nhuggingface_hub: 0.36.2\npyarrow: 23.0.1\npandas: 2.3.3\nfsspec: 2026.2.0\n\n```\n\n\n``` python\nimport datasets\nfrom datasets import Array2D, Dataset\nimport numpy as np\n\n# Create a dataset with Array2D feature\ndata = {\... |
https://api.github.com/repos/huggingface/datasets/issues/8085 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8085/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8085/comments | https://api.github.com/repos/huggingface/datasets/issues/8085/events | https://github.com/huggingface/datasets/issues/8085 | 4,120,101,624 | I_kwDODunzps71k8L4 | 8,085 | ImportError: cannot import name 'VideoReader' from 'torchvision.io' when using datasets with torch format | {
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For PyTorch 2.11 + torchvision 0.26.0 when using the datasets library and setting the format to "torch", an ImportError occurs because the datasets library attempts to import VideoReader from torchvision.io, but this object is not found in the installed torchvision version.
**Error message**:
> ... | {
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"`datasets` 4.8.4 is out and includes a fix :)"
] |
https://api.github.com/repos/huggingface/datasets/issues/8079 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8079/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8079/comments | https://api.github.com/repos/huggingface/datasets/issues/8079/events | https://github.com/huggingface/datasets/issues/8079 | 4,099,246,270 | I_kwDODunzps70VYi- | 8,079 | StepExamplesIterable._iter_arrow drops samples for non-zero ranks for single-sharded | {
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As titled
### Steps to reproduce the bug
Running following Python script:
```
"""
Reproducer for HuggingFace datasets 4.x bug:
StepExamplesIterable._iter_arrow drops samples for non-zero ranks
when Arrow batches have size 1 (e.g. single-shard streaming WebDataset).
Bug: split_dataset_by_node w... | {
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https://api.github.com/repos/huggingface/datasets/issues/8078 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8078/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8078/comments | https://api.github.com/repos/huggingface/datasets/issues/8078/events | https://github.com/huggingface/datasets/issues/8078 | 4,086,560,531 | I_kwDODunzps7zk_cT | 8,078 | Inconsistent loading of LFS-hosted files in Dangindev/viet-cultural-vqa dataset | {
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Describe the bug
Some files in the Dangindev/viet-cultural-vqa dataset fail to load via the Hugging Face datasets library.
xet-hosted files load fine
LFS-hosted files sometimes fail
Example:
Fails: https://huggingface.co/datasets/Dangindev/viet-cultural-vqa/blob/main/images/am_thuc/banh_chung_T... | {
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"I also have been stuck in same problem ",
"This should be fixed, thanks for reporting ! let us know if you ever encounter other issues in the future",
"It's okay. \n\nGood job, thanks your support! "
] |
https://api.github.com/repos/huggingface/datasets/issues/8075 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8075/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8075/comments | https://api.github.com/repos/huggingface/datasets/issues/8075/events | https://github.com/huggingface/datasets/issues/8075 | 4,085,618,908 | I_kwDODunzps7zhZjc | 8,075 | `.batch()` error on formatted datasets | {
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For example:
```pyt... | null | {
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"Hi ! Good catch :) Since table-formatted iterable datasets have an Arrow path (i.e. they have `.iter_arrow()`) I guess a simple fix would be to make `.batch()` make the dataset arrow-formatted and use a `batch_arrow_fn` in that case (instead of the current `_batch_fn` that expects dictionaries). It would also be b... |
https://api.github.com/repos/huggingface/datasets/issues/8065 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8065/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8065/comments | https://api.github.com/repos/huggingface/datasets/issues/8065/events | https://github.com/huggingface/datasets/issues/8065 | 4,073,606,584 | I_kwDODunzps7yzk24 | 8,065 | ARM audio support broken | {
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`datasets` 4.0 moved to using `torchcodec` for audio datasets, which doesn't support ARM hardware under Linux and Windows
### Steps to reproduce the bug
try:
* Try to install `torchcodec` under Linux ARM64
or:
* Try to install `torchcodec` under Windows ARM64
or, on either of those platforms... | null | {
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"See also https://github.com/NVIDIA/garak/issues/1622#issuecomment-3937720381",
"Hi @leondz , thanks for the detailed bug report — the description and reproduction steps are really clear.\n\nI’d love to take a shot at investigating and potentially fixing this issue. Before I start digging into the codebase, I jus... |
https://api.github.com/repos/huggingface/datasets/issues/8052 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8052/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8052/comments | https://api.github.com/repos/huggingface/datasets/issues/8052/events | https://github.com/huggingface/datasets/issues/8052 | 4,041,972,911 | I_kwDODunzps7w65yv | 8,052 | [Security] Zip/Rar/7z Archive Extraction Path Traversal (Incomplete CVE-2007-4559 Mitigation) | {
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**Reporter:** Conner Webber (conner.webber000@gmail.com)
**Severity:** HIGH (CVSS 3.1: 8.2)
**CWE:** CWE-22 (Improper Limitation of a Pathname to a Restricted Directory)
## Summary
The `ZipExtractor`, `RarExtractor`, and `SevenZipExtractor` classes in `datasets/utils/extract.py` call... | {
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"Hi! I'm currently exploring the codebase and came across this issue. I'd be interested in investigating it further and trying to reproduce the behavior locally.\n\nIf no one is actively working on it, I'd be happy to take a look and attempt a fix.\n",
"The steps to reproduce don't cause any file extraction outsi... |
https://api.github.com/repos/huggingface/datasets/issues/8048 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8048/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8048/comments | https://api.github.com/repos/huggingface/datasets/issues/8048/events | https://github.com/huggingface/datasets/issues/8048 | 4,031,613,102 | I_kwDODunzps7wTYiu | 8,048 | Support 3D Datasets | {
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] | open | false | [] | null | 2026-03-06T01:23:08 | 2026-03-09T00:05:03 | null | null | NONE | null | null | null | null | ### Feature request
In `datasets` library we have options to load `image` and `audio` datasets which can be viewed in the Dataset Viewer.
LIKE:
```bash
from datasets import load_dataset, Image
from datasets import load_dataset, Audio
```
> https://huggingface.co/docs/datasets/en/image_load & https://huggingface.co/do... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8046 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8046/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8046/comments | https://api.github.com/repos/huggingface/datasets/issues/8046/events | https://github.com/huggingface/datasets/issues/8046 | 4,030,348,328 | I_kwDODunzps7wOjwo | 8,046 | `Dataset.map()` with `num_proc > 1` fails when some shards produce `List(Value('null'))` (empty lists) | {
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When using `Dataset.map()` with `num_proc > 1`, if the map function produces a list column where some shards contain only empty lists `[]` and other shards contain non-empty lists of structs, the feature type inference is inconsistent across shards:
- Shards with only empty lists → `List(Value('n... | {
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"\n### Root cause\n\nIn `src/datasets/features/features.py`, both `_check_if_features_can_be_aligned` and `_align_features` use:\n\n```python\nisinstance(v, Value) and v.dtype == \"null\"\n```\n\nto check for null compatibility. However, `List(Value('null'))` is **not** an instance of `Value` — it's an instance of ... |
https://api.github.com/repos/huggingface/datasets/issues/8038 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8038/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8038/comments | https://api.github.com/repos/huggingface/datasets/issues/8038/events | https://github.com/huggingface/datasets/issues/8038 | 4,020,184,168 | I_kwDODunzps7vnyRo | 8,038 | Typo in iterable_dataset.py | {
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`streaming=True**kwargs,` should be `streaming=True, **kwargs,`
https://github.com/huggingface/datasets/blob/81027be09d5cd9f06a6d64ef1a8a3e9ebd0f86fd/src/datasets/iterable_dataset.py#L2950
### Steps to reproduce the bug
```
from Datasets import Dataset
IterableDataset.from_csv("file.csv")
```
#... | {
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https://api.github.com/repos/huggingface/datasets/issues/8037 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8037/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8037/comments | https://api.github.com/repos/huggingface/datasets/issues/8037/events | https://github.com/huggingface/datasets/issues/8037 | 4,008,928,790 | I_kwDODunzps7u82YW | 8,037 | IterableDataset.filter() chaining fails due to features being lost when is_typed=True | {
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Chaining multiple .filter() calls on an IterableDataset raises a TypeError: 'NoneType' object is not a mapping on the second .filter() call.
In `IterableDataset.filter()`, the internal `ex_iterable` is wrapped with FormattedExamplesIterable:
```python
ex_iterable = FormattedExamplesIterable(
... | {
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https://api.github.com/repos/huggingface/datasets/issues/8034 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8034/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8034/comments | https://api.github.com/repos/huggingface/datasets/issues/8034/events | https://github.com/huggingface/datasets/issues/8034 | 4,004,188,523 | I_kwDODunzps7uqxFr | 8,034 | [BUG] load_datasets() cannot use the generated Arrow cache correctly | {
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The datasets library cannot use the generated Arrow cache correctly, seemingly due to a flaw in the internal hash symbol calculation logic.
The following code provides verification.
I am trying to locate the specific code position, and if there are further developments, I will update here.
### S... | null | {
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"PYTHONHASHSEED=1 uv run python -c\n \"\nfrom datasets.load import LocalDatasetModuleFactory\nmod = LocalDatasetModuleFactory('/cache/datasets/imagenet-1k')\ndm = mod.get_module()\nprint('Hash:', dm.hash)\n\"\nResolving data files: 100%|█████████| 294/294 [00:00<00:00, 20584.68it/s]\nResolving data files: 100%|████... |
https://api.github.com/repos/huggingface/datasets/issues/8029 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8029/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8029/comments | https://api.github.com/repos/huggingface/datasets/issues/8029/events | https://github.com/huggingface/datasets/issues/8029 | 4,001,742,455 | I_kwDODunzps7uhb53 | 8,029 | `cache_dir` option in `download_config` in `load_dataset` is not respected | {
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Downloaded files still go to `~/.cache/huggingface/hub/` even if I specified `cache_dir` option in `download_config` in `load_dataset`.
### Steps to reproduce the bug
Run my freshly written script and found that downloaded files did not go where I want.
```python
'''
下载OpenWebText数据集,允许使用代理
'''
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"Actually, I used debugger to step into the code of `datasets`, and found `load_dataset` calls into `cached_path`, where it calls into `hf_hub_download` method for `hf://` links:\nhttps://github.com/huggingface/datasets/blob/6e8eaeed4d202b72eff44ba1a9ec5b7d81d2d3e6/src/datasets/utils/file_utils.py#L182-L195\n\nSome... |
https://api.github.com/repos/huggingface/datasets/issues/8015 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8015/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8015/comments | https://api.github.com/repos/huggingface/datasets/issues/8015/events | https://github.com/huggingface/datasets/issues/8015 | 3,974,281,900 | I_kwDODunzps7s4rqs | 8,015 | Iterating a streaming dataset correctly in random order | {
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For training to work properly it is considered good practice in machine learning to sample the dataset randomly (uniformly). I am not sure how the user is expected to do it correctly when the creator of the dataset did a bad job.
https://huggingface.co/docs/hub/datasets-webdataset
```
**Shuffle*... | null | {
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"Hi, reshuffling is actually pretty easy:\n\n```python\n\"\"\" shuffle.py \"\"\"\nfrom datasets import load_dataset\n\nnum_proc = 8 # tweak it here depending on your machine\nseed = 42\nds = load_dataset(\"jackyhate/text-to-image-2M\", num_proc=num_proc)\nds = ds.shuffle(seed=seed)\nds.push_to_hub(\"my-username/te... |
https://api.github.com/repos/huggingface/datasets/issues/8012 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8012/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8012/comments | https://api.github.com/repos/huggingface/datasets/issues/8012/events | https://github.com/huggingface/datasets/issues/8012 | 3,963,855,875 | I_kwDODunzps7sQ6QD | 8,012 | HC3 dataset fails to load with datasets>=3 due to legacy script (HC3.py) | {
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It looks like the current documentation suggests loading the dataset like this:
`load_dataset("Hello-SimpleAI/HC3", split="train")
`
But with datasets>=3.x, this raises:
RuntimeError: Dataset scripts are no longer supported, but found HC3.py
The dataset loads correctly if we specify the parqu... | {
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"This is not a bug. This is intended behaviour. The only ways to resolve this are\n1. use the old `datasets` versions\n2. load the dataset and upload it to your own repo without a script\n3. raise an issue in the dataset and wait for the owner to update it."
] |
https://api.github.com/repos/huggingface/datasets/issues/8010 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8010/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8010/comments | https://api.github.com/repos/huggingface/datasets/issues/8010/events | https://github.com/huggingface/datasets/issues/8010 | 3,963,448,558 | I_kwDODunzps7sPWzu | 8,010 | audiofolder / folder-based loader rejects metadata.csv when file_name column is inferred as large_string | {
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When loading a dataset with load_dataset("audiofolder", data_dir=...) and a metadata.csv (with a file_name column), loading can fail with:
`ValueError: file_name or *_file_name must be present as dictionary key (with type string) in metadata files`
even when the CSV clearly has a file_name colum... | {
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"Proposing a PR for this [here](https://github.com/huggingface/datasets/pull/8011)\n\nPS: I didn't find a contributing documentation. Please recommend any changes in issue or PR if any. Thank you!"
] |
https://api.github.com/repos/huggingface/datasets/issues/8007 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8007/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8007/comments | https://api.github.com/repos/huggingface/datasets/issues/8007/events | https://github.com/huggingface/datasets/issues/8007 | 3,946,695,329 | I_kwDODunzps7rPcqh | 8,007 | Add option for loading audio with video | {
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Currently, `torchcodec` don't allow extracting `Audio` from `Video` https://github.com/meta-pytorch/torchcodec/issues/1158, https://github.com/meta-pytorch/torchcodec/issues/1190, but when I upload videos with audio to hub using `videofolder`, then this is not possible to retrieve audio from it. P... | null | {
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"Hi,\nI’m interested in working on this issue.\n\nFrom what I understand, audio decoding would involve an AudioDecoder, and previous discussions have suggested handling it separately. I’d like to explore whether integrating audio extraction in relation to the current video decoding workflow would be appropriate, or... |
https://api.github.com/repos/huggingface/datasets/issues/8006 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8006/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8006/comments | https://api.github.com/repos/huggingface/datasets/issues/8006/events | https://github.com/huggingface/datasets/issues/8006 | 3,944,394,074 | I_kwDODunzps7rGq1a | 8,006 | Regression: from_generator crashes if one generator call returns no results | {
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Dataset.from_generator splits any list kwarg to the generator and makes a separate call to the generator for each member of the list even in the num_proc=1 case.
I have a generator that processes a number of files, filtering them and producing examples. It used to be the case that things worked fi... | {
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https://api.github.com/repos/huggingface/datasets/issues/8005 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8005/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8005/comments | https://api.github.com/repos/huggingface/datasets/issues/8005/events | https://github.com/huggingface/datasets/issues/8005 | 3,941,908,297 | I_kwDODunzps7q9L9J | 8,005 | Multi-channel audio is automatically cast to mono, num_channels is ignored | {
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The `num_channels` parameter in `datasets.Audio()` is documented to preserve stereo channels when set to `None` (preserve original) or `2` (explicit stereo), but it currently downmixes all audio to mono regardless of this setting.
### Steps to reproduce the bug
```python
import numpy as np
impor... | null | {
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"**Workaround**\nDirectly load audio using torchcodec, this is what datasets does under the hood (but doesn't maintain multi-channel)\n\n```python\nimport torchcodec\n\ndecoder = torchcodec.decoders.AudioDecoder(audio[\"bytes\"])\naudio_samples = decoder.get_all_samples()\n\naudio = audio_samples.data.numpy()\nsamp... |
https://api.github.com/repos/huggingface/datasets/issues/8002 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8002/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8002/comments | https://api.github.com/repos/huggingface/datasets/issues/8002/events | https://github.com/huggingface/datasets/issues/8002 | 3,937,013,814 | I_kwDODunzps7qqhA2 | 8,002 | The `Sequence` class in features do not have "dtype" | {
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**I'm not sure if this is a bug.**
I see that a `FeatureType` object contains an attribute called `self.dtype` that is not covered when this feature is a `Sequence` or a `List`.
When I try to run a multilabel classification with this example script from the transformers library:
https://github.... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8120 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8120/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8120/comments | https://api.github.com/repos/huggingface/datasets/issues/8120/events | https://github.com/huggingface/datasets/issues/8120 | 4,201,197,701 | I_kwDODunzps76aTCF | 8,120 | Patch fields truncated — missing trailing newlines | {
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Affected instances (confirmed): atlanhq_atlan-python... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8116 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8116/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8116/comments | https://api.github.com/repos/huggingface/datasets/issues/8116/events | https://github.com/huggingface/datasets/issues/8116 | 4,197,189,620 | I_kwDODunzps76LAf0 | 8,116 | `to_json()` serializes `Json()` feature as escaped string instead of native JSON object | {
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When a dataset column uses the `Json()` feature type, calling `to_json()` writes the value as an escaped JSON string (e.g., `"{\"cat_a\":1,\"cat_b\":2}"`) instead of a native JSON object (e.g., `{"cat_a":1,"cat_b":2}`).
This causes two problems:
1. The output JSON file is not interoperable with ... | null | {
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"Hi! I ran into this issue as well, I think the root cause was that under `_batch_json()` of `JsonDatasetWriter` it was directly exporting the encoded string without decoding it first. I will try to add a PR with a small fix. ",
"#self-assign"
] |
https://api.github.com/repos/huggingface/datasets/issues/8110 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8110/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8110/comments | https://api.github.com/repos/huggingface/datasets/issues/8110/events | https://github.com/huggingface/datasets/issues/8110 | 4,176,918,326 | I_kwDODunzps749rc2 | 8,110 | `set_format` resets features | {
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Calling `dataset.set_format('...')` resets the informative features such as `Array2D` etc. back into `List(List(Value))` and so on.
### Steps to reproduce the bug
```py
>>> dataset.features
{'lld': Array2D(shape=(None, 26), dtype='float32')}
>>> dataset.set_format('torch')
>>> dataset.features
... | null | {
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"couldn't replicate with: \n\n``` bash\nPlatform: macos\npython: 3.10.9\ndatasets: 4.8.4\nhuggingface_hub: 0.36.2\npyarrow: 23.0.1\npandas: 2.3.3\nfsspec: 2026.2.0\n\n```\n\n\n``` python\nimport datasets\nfrom datasets import Array2D, Dataset\nimport numpy as np\n\n# Create a dataset with Array2D feature\ndata = {\... |
https://api.github.com/repos/huggingface/datasets/issues/8085 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8085/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8085/comments | https://api.github.com/repos/huggingface/datasets/issues/8085/events | https://github.com/huggingface/datasets/issues/8085 | 4,120,101,624 | I_kwDODunzps71k8L4 | 8,085 | ImportError: cannot import name 'VideoReader' from 'torchvision.io' when using datasets with torch format | {
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For PyTorch 2.11 + torchvision 0.26.0 when using the datasets library and setting the format to "torch", an ImportError occurs because the datasets library attempts to import VideoReader from torchvision.io, but this object is not found in the installed torchvision version.
**Error message**:
> ... | {
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"`datasets` 4.8.4 is out and includes a fix :)"
] |
https://api.github.com/repos/huggingface/datasets/issues/8079 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8079/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8079/comments | https://api.github.com/repos/huggingface/datasets/issues/8079/events | https://github.com/huggingface/datasets/issues/8079 | 4,099,246,270 | I_kwDODunzps70VYi- | 8,079 | StepExamplesIterable._iter_arrow drops samples for non-zero ranks for single-sharded | {
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As titled
### Steps to reproduce the bug
Running following Python script:
```
"""
Reproducer for HuggingFace datasets 4.x bug:
StepExamplesIterable._iter_arrow drops samples for non-zero ranks
when Arrow batches have size 1 (e.g. single-shard streaming WebDataset).
Bug: split_dataset_by_node w... | {
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https://api.github.com/repos/huggingface/datasets/issues/8078 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8078/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8078/comments | https://api.github.com/repos/huggingface/datasets/issues/8078/events | https://github.com/huggingface/datasets/issues/8078 | 4,086,560,531 | I_kwDODunzps7zk_cT | 8,078 | Inconsistent loading of LFS-hosted files in Dangindev/viet-cultural-vqa dataset | {
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Describe the bug
Some files in the Dangindev/viet-cultural-vqa dataset fail to load via the Hugging Face datasets library.
xet-hosted files load fine
LFS-hosted files sometimes fail
Example:
Fails: https://huggingface.co/datasets/Dangindev/viet-cultural-vqa/blob/main/images/am_thuc/banh_chung_T... | {
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"I also have been stuck in same problem ",
"This should be fixed, thanks for reporting ! let us know if you ever encounter other issues in the future",
"It's okay. \n\nGood job, thanks your support! "
] |
https://api.github.com/repos/huggingface/datasets/issues/8075 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8075/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8075/comments | https://api.github.com/repos/huggingface/datasets/issues/8075/events | https://github.com/huggingface/datasets/issues/8075 | 4,085,618,908 | I_kwDODunzps7zhZjc | 8,075 | `.batch()` error on formatted datasets | {
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"followers_url": "https://api.github.com/use... | [] | open | false | [] | null | 2026-03-17T01:08:13 | 2026-03-20T00:23:14 | null | null | COLLABORATOR | null | null | null | null | The `.batch()` method currently assumes the input (batch) is always a dictionary, which causes errors when it isn't. This can happen with formatted datasets, since formats like `"pyarrow"`, `"pandas"` (only affects `IterableDataset`), and `"polars"` return tables/dataframes instead of dictionaries.
For example:
```pyt... | null | {
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"Hi ! Good catch :) Since table-formatted iterable datasets have an Arrow path (i.e. they have `.iter_arrow()`) I guess a simple fix would be to make `.batch()` make the dataset arrow-formatted and use a `batch_arrow_fn` in that case (instead of the current `_batch_fn` that expects dictionaries). It would also be b... |
https://api.github.com/repos/huggingface/datasets/issues/8065 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8065/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8065/comments | https://api.github.com/repos/huggingface/datasets/issues/8065/events | https://github.com/huggingface/datasets/issues/8065 | 4,073,606,584 | I_kwDODunzps7yzk24 | 8,065 | ARM audio support broken | {
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"followers_url": "https://api.github.com/users/leondz/follow... | [] | open | false | [] | null | 2026-03-13T22:06:36 | 2026-03-23T14:16:47 | null | null | CONTRIBUTOR | null | null | null | null | ### Describe the bug
`datasets` 4.0 moved to using `torchcodec` for audio datasets, which doesn't support ARM hardware under Linux and Windows
### Steps to reproduce the bug
try:
* Try to install `torchcodec` under Linux ARM64
or:
* Try to install `torchcodec` under Windows ARM64
or, on either of those platforms... | null | {
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"See also https://github.com/NVIDIA/garak/issues/1622#issuecomment-3937720381",
"Hi @leondz , thanks for the detailed bug report — the description and reproduction steps are really clear.\n\nI’d love to take a shot at investigating and potentially fixing this issue. Before I start digging into the codebase, I jus... |
https://api.github.com/repos/huggingface/datasets/issues/8052 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8052/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8052/comments | https://api.github.com/repos/huggingface/datasets/issues/8052/events | https://github.com/huggingface/datasets/issues/8052 | 4,041,972,911 | I_kwDODunzps7w65yv | 8,052 | [Security] Zip/Rar/7z Archive Extraction Path Traversal (Incomplete CVE-2007-4559 Mitigation) | {
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**Reporter:** Conner Webber (conner.webber000@gmail.com)
**Severity:** HIGH (CVSS 3.1: 8.2)
**CWE:** CWE-22 (Improper Limitation of a Pathname to a Restricted Directory)
## Summary
The `ZipExtractor`, `RarExtractor`, and `SevenZipExtractor` classes in `datasets/utils/extract.py` call... | {
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"Hi! I'm currently exploring the codebase and came across this issue. I'd be interested in investigating it further and trying to reproduce the behavior locally.\n\nIf no one is actively working on it, I'd be happy to take a look and attempt a fix.\n",
"The steps to reproduce don't cause any file extraction outsi... |
https://api.github.com/repos/huggingface/datasets/issues/8048 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8048/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8048/comments | https://api.github.com/repos/huggingface/datasets/issues/8048/events | https://github.com/huggingface/datasets/issues/8048 | 4,031,613,102 | I_kwDODunzps7wTYiu | 8,048 | Support 3D Datasets | {
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] | open | false | [] | null | 2026-03-06T01:23:08 | 2026-03-09T00:05:03 | null | null | NONE | null | null | null | null | ### Feature request
In `datasets` library we have options to load `image` and `audio` datasets which can be viewed in the Dataset Viewer.
LIKE:
```bash
from datasets import load_dataset, Image
from datasets import load_dataset, Audio
```
> https://huggingface.co/docs/datasets/en/image_load & https://huggingface.co/do... | null | {
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