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https://api.github.com/repos/huggingface/datasets/issues/7869 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7869/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7869/comments | https://api.github.com/repos/huggingface/datasets/issues/7869/events | https://github.com/huggingface/datasets/issues/7869 | 3,636,808,734 | I_kwDODunzps7YxUwe | 7,869 | Why does dataset merge fail when tools have different parameters? | {
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} | Hi, I have a question about SFT (Supervised Fine-tuning) for an agent model.
Suppose I want to fine-tune an agent model that may receive two different tools: tool1 and tool2. These tools have different parameters and types in their schema definitions.
When I try to merge datasets containing different tool definitions... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7868 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7868/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7868/comments | https://api.github.com/repos/huggingface/datasets/issues/7868/events | https://github.com/huggingface/datasets/issues/7868 | 3,632,429,308 | I_kwDODunzps7Ygnj8 | 7,868 | Data duplication with `split_dataset_by_node` and `interleaved_dataset` | {
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} | ### Describe the bug
Data duplication in different rank, when process a iterabledataset with first `split_dataset_by_node` and then `interleaved_dataset`
### Steps to reproduce the bug
I have provide a minimum scripts
```python
import os
from datasets import interleave_datasets, load_dataset
from datasets.distribu... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7867 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7867/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7867/comments | https://api.github.com/repos/huggingface/datasets/issues/7867/events | https://github.com/huggingface/datasets/issues/7867 | 3,620,931,722 | I_kwDODunzps7X0wiK | 7,867 | NonMatchingSplitsSizesError when loading partial dataset files | {
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} | ### Describe the bug
When loading only a subset of dataset files while the dataset's README.md contains split metadata, the system throws a NonMatchingSplitsSizesError . This prevents users from loading partial datasets for quick validation in cases of poor network conditions or very large datasets.
### Steps to repr... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7866 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7866/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7866/comments | https://api.github.com/repos/huggingface/datasets/issues/7866/events | https://github.com/huggingface/datasets/pull/7866 | 3,620,436,248 | PR_kwDODunzps6zL7Sz | 7,866 | docs: add Python version requirement note to installation section | {
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https://api.github.com/repos/huggingface/datasets/issues/7865 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7865/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7865/comments | https://api.github.com/repos/huggingface/datasets/issues/7865/events | https://github.com/huggingface/datasets/pull/7865 | 3,620,116,195 | PR_kwDODunzps6zK2H_ | 7,865 | [FEAT] MIDI feature support | {
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https://api.github.com/repos/huggingface/datasets/issues/7864 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7864/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7864/comments | https://api.github.com/repos/huggingface/datasets/issues/7864/events | https://github.com/huggingface/datasets/issues/7864 | 3,619,137,823 | I_kwDODunzps7Xt6kf | 7,864 | add_column and add_item erroneously(?) require new_fingerprint parameter | {
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} | ### Describe the bug
Contradicting their documentation (which doesn't mention the parameter at all), both Dataset.add_column and Dataset.add_item require a new_fingerprint string. This parameter is passed directly to the dataset constructor, which has the fingerprint parameter listed as optional; is there any reason i... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7863 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7863/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7863/comments | https://api.github.com/repos/huggingface/datasets/issues/7863/events | https://github.com/huggingface/datasets/issues/7863 | 3,618,836,821 | I_kwDODunzps7XsxFV | 7,863 | Support hosting lance / vortex / iceberg / zarr datasets on huggingface hub | {
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] | open | false | null | [] | null | 9 | 2025-11-13 00:51:07+00:00 | 2025-11-17 21:37:11+00:00 | NaT | NONE | null | null | {
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} | ### Feature request
Huggingface datasets has great support for large tabular datasets in parquet with large partitions. I would love to see two things in the future:
- equivalent support for `lance`, `vortex`, `iceberg`, `zarr` (in that order) in a way that I can stream them using the datasets library
- more fine-gr... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7862 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7862/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7862/comments | https://api.github.com/repos/huggingface/datasets/issues/7862/events | https://github.com/huggingface/datasets/pull/7862 | 3,617,947,090 | PR_kwDODunzps6zDjEj | 7,862 | Add flatten_indices option to save_to_disk method | {
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Solves #7861
This PR introduces a new optional argument, flatten_indices, to the save_to_disk methods in both Dataset and DatasetDict.
The change allows users to skip the expensive index-flattening step when saving datasets that ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7861 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7861/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7861/comments | https://api.github.com/repos/huggingface/datasets/issues/7861/events | https://github.com/huggingface/datasets/issues/7861 | 3,611,821,713 | I_kwDODunzps7XSAaR | 7,861 | Performance Issue: save_to_disk() 200-1200% slower due to unconditional flatten_indices() | {
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} | ## 🐛 Bug Description
The `save_to_disk()` method unconditionally calls `flatten_indices()` when `_indices` is not None, causing severe performance degradation for datasets processed with filtering, shuffling, or multiprocessed mapping operations.
**Root cause**: This line rebuilds the entire dataset unnecessarily:
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https://api.github.com/repos/huggingface/datasets/issues/7860 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7860/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7860/comments | https://api.github.com/repos/huggingface/datasets/issues/7860/events | https://github.com/huggingface/datasets/pull/7860 | 3,610,706,034 | PR_kwDODunzps6yrHQN | 7,860 | Support loading local arrow datasets via load_dataset | {
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#7018 | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7859 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7859/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7859/comments | https://api.github.com/repos/huggingface/datasets/issues/7859/events | https://github.com/huggingface/datasets/pull/7859 | 3,608,586,063 | PR_kwDODunzps6yj-aZ | 7,859 | fix some broken links | {
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https://api.github.com/repos/huggingface/datasets/issues/7858 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7858/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7858/comments | https://api.github.com/repos/huggingface/datasets/issues/7858/events | https://github.com/huggingface/datasets/pull/7858 | 3,605,471,548 | PR_kwDODunzps6yZq4r | 7,858 | Support downloading specific splits in `load_dataset` | {
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- `download_mode="FORCE_REDOWNLOAD"` is interpreted as always creating a clean slate, that means that even if we already did:
```python
load_dataset("<name>")
load_dataset("<name>",... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7856 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7856/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7856/comments | https://api.github.com/repos/huggingface/datasets/issues/7856/events | https://github.com/huggingface/datasets/issues/7856 | 3,603,729,142 | I_kwDODunzps7WzIr2 | 7,856 | Missing transcript column when loading a local dataset with "audiofolder" | {
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} | ### Describe the bug
My local dataset is not properly loaded when using `load_dataset("audiofolder", data_dir="my_dataset")` with a `jsonl` metadata file.
Only the `audio` column is read while the `transcript` column is not.
The last tested `datasets` version where the behavior was still correct is 2.18.0.
### Steps... | {
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https://api.github.com/repos/huggingface/datasets/issues/7854 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7854/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7854/comments | https://api.github.com/repos/huggingface/datasets/issues/7854/events | https://github.com/huggingface/datasets/pull/7854 | 3,596,750,849 | PR_kwDODunzps6x8yiy | 7,854 | [Distributed] split_dataset_by_node() gives the same number of examples for each node | {
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```python
import torch.distributed as dist
from datasets import IterableDataset
from datasets.distributed import split_dataset_by_node
from collections import Counter
def g(shards):
for shard in shards:
# shards don't have the same length
num_examples = 3 + shard
f... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7853 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7853/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7853/comments | https://api.github.com/repos/huggingface/datasets/issues/7853/events | https://github.com/huggingface/datasets/pull/7853 | 3,596,232,275 | PR_kwDODunzps6x7ARa | 7,853 | Fix embed storage nifti | {
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Adds `embed_storage` function and allows gzipped files to be loaded correctly from local storage. | {
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https://api.github.com/repos/huggingface/datasets/issues/7852 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7852/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7852/comments | https://api.github.com/repos/huggingface/datasets/issues/7852/events | https://github.com/huggingface/datasets/issues/7852 | 3,595,450,602 | I_kwDODunzps7WTjjq | 7,852 | Problems with NifTI | {
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} | ### Describe the bug
There are currently 2 problems with the new NifTI feature:
1. dealing with zipped files, this is mentioned and explained [here](https://github.com/huggingface/datasets/pull/7815#issuecomment-3496199503)
2. when uploading via the `niftifolder` feature, the resulting parquet only contains relative p... | {
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https://api.github.com/repos/huggingface/datasets/issues/7850 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7850/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7850/comments | https://api.github.com/repos/huggingface/datasets/issues/7850/events | https://github.com/huggingface/datasets/pull/7850 | 3,591,758,675 | PR_kwDODunzps6xsGi_ | 7,850 | dev version | {
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https://api.github.com/repos/huggingface/datasets/issues/7848 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7848/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7848/comments | https://api.github.com/repos/huggingface/datasets/issues/7848/events | https://github.com/huggingface/datasets/pull/7848 | 3,590,024,849 | PR_kwDODunzps6xmPYZ | 7,848 | DOC: remove mode parameter in docstring of pdf and video feature | {
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As mentioned in the issue `mode` has been copy-pasted but isn't used in these files. | {
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https://api.github.com/repos/huggingface/datasets/issues/7845 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7845/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7845/comments | https://api.github.com/repos/huggingface/datasets/issues/7845/events | https://github.com/huggingface/datasets/pull/7845 | 3,585,926,647 | PR_kwDODunzps6xYq2r | 7,845 | Release: 4.4.0 | {
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https://api.github.com/repos/huggingface/datasets/issues/7844 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7844/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7844/comments | https://api.github.com/repos/huggingface/datasets/issues/7844/events | https://github.com/huggingface/datasets/pull/7844 | 3,582,354,507 | PR_kwDODunzps6xM9hd | 7,844 | support fsspec 2025.10.0 | {
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https://api.github.com/repos/huggingface/datasets/issues/7843 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7843/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7843/comments | https://api.github.com/repos/huggingface/datasets/issues/7843/events | https://github.com/huggingface/datasets/pull/7843 | 3,582,311,403 | PR_kwDODunzps6xM0sq | 7,843 | fix column with transform | {
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https://api.github.com/repos/huggingface/datasets/issues/7842 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7842/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7842/comments | https://api.github.com/repos/huggingface/datasets/issues/7842/events | https://github.com/huggingface/datasets/issues/7842 | 3,582,182,995 | I_kwDODunzps7Vg8ZT | 7,842 | Transform with columns parameter triggers on non-specified column access | {
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} | ### Describe the bug
Iterating over a [`Column`](https://github.com/huggingface/datasets/blob/8b1bd4ec1cc9e9ce022f749abb6485ef984ae7c0/src/datasets/arrow_dataset.py#L633-L692) iterates through the parent [`Dataset`](https://github.com/huggingface/datasets/blob/8b1bd4ec1cc9e9ce022f749abb6485ef984ae7c0/src/datasets/arro... | {
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https://api.github.com/repos/huggingface/datasets/issues/7841 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7841/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7841/comments | https://api.github.com/repos/huggingface/datasets/issues/7841/events | https://github.com/huggingface/datasets/issues/7841 | 3,579,506,747 | I_kwDODunzps7VWvA7 | 7,841 | DOC: `mode` parameter on pdf and video features unused | {
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} | Following up on https://github.com/huggingface/datasets/pull/7840 I asked claude code to check for undocumented parameters for other features and it found:
- mode parameter on video is documented but unused: https://github.com/huggingface/datasets/blob/main/src/datasets/features/video.py#L48-L49
- the same goes for the... | {
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https://api.github.com/repos/huggingface/datasets/issues/7840 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7840/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7840/comments | https://api.github.com/repos/huggingface/datasets/issues/7840/events | https://github.com/huggingface/datasets/pull/7840 | 3,579,486,348 | PR_kwDODunzps6xDsbG | 7,840 | Add num channels to audio | {
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We currently have the [mono attribute for Audio documented](https://github.com/huggingface/datasets/blob/41c05299348a499807432ab476e1cdc4143c8772/src/datasets/features/audio.py#L52C1-L54C22) but not used anywhere resulting in confusion for users. Since torchcodec does not know this attribute I suggest us... | {
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https://api.github.com/repos/huggingface/datasets/issues/7839 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7839/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7839/comments | https://api.github.com/repos/huggingface/datasets/issues/7839/events | https://github.com/huggingface/datasets/issues/7839 | 3,579,121,843 | I_kwDODunzps7VVRCz | 7,839 | datasets doesn't work with python 3.14 | {
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} | ### Describe the bug
Seems that `dataset` doesn't work with python==3.14. The root cause seems to be something with a `deel` API that was changed.
```
TypeError: Pickler._batch_setitems() takes 2 positional arguments but 3 were given
```
### Steps to reproduce the bug
(on a new folder)
uv init
uv python pin 3.14
uv... | {
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https://api.github.com/repos/huggingface/datasets/issues/7837 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7837/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7837/comments | https://api.github.com/repos/huggingface/datasets/issues/7837/events | https://github.com/huggingface/datasets/issues/7837 | 3,575,454,726 | I_kwDODunzps7VHRwG | 7,837 | mono parameter to the Audio feature is missing | {
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} | According to the docs, there is a "mono" parameter to the Audio feature, which turns any stereo into mono. In practice the signal is not touched and the mono parameter, even though documented, does not exist.
https://github.com/huggingface/datasets/blob/41c05299348a499807432ab476e1cdc4143c8772/src/datasets/features/a... | {
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https://api.github.com/repos/huggingface/datasets/issues/7836 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7836/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7836/comments | https://api.github.com/repos/huggingface/datasets/issues/7836/events | https://github.com/huggingface/datasets/pull/7836 | 3,562,316,362 | PR_kwDODunzps6wLuh9 | 7,836 | Python 3.14 | {
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https://api.github.com/repos/huggingface/datasets/issues/7835 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7835/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7835/comments | https://api.github.com/repos/huggingface/datasets/issues/7835/events | https://github.com/huggingface/datasets/pull/7835 | 3,560,909,796 | PR_kwDODunzps6wHK9e | 7,835 | Add DICOM support | {
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Add support for the dicom file format.
This PR follows PR #7815 and PR #7325 closely.
Remarkable differences:
I made sure that we can load all of pydicom's test data, and encountered the `force=True` parameter that we explicitly support here. This allows to trying to load corrupted dicom files, we... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7834 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7834/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7834/comments | https://api.github.com/repos/huggingface/datasets/issues/7834/events | https://github.com/huggingface/datasets/issues/7834 | 3,558,802,959 | I_kwDODunzps7UHwYP | 7,834 | Audio.cast_column() or Audio.decode_example() causes Colab kernel crash (std::bad_alloc) | {
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When using the huggingface datasets.Audio feature to decode a local or remote (public HF dataset) audio file inside Google Colab, the notebook kernel crashes with std::bad_alloc (C++ memory allocation failure).
The crash happens even with a minimal code example and valid .wav file that can be read... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7833 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7833/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7833/comments | https://api.github.com/repos/huggingface/datasets/issues/7833/events | https://github.com/huggingface/datasets/pull/7833 | 3,556,014,911 | PR_kwDODunzps6v2gAI | 7,833 | Fix: Properly render [!TIP] block in stream.shuffle documentation | {
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... | [] | closed | false | null | [] | null | 0 | 2025-10-27 10:09:31+00:00 | 2025-10-28 15:57:33+00:00 | 2025-10-28 15:57:33+00:00 | CONTRIBUTOR | null | null | null | null | The second line starting with the bracket doesn't properly render on huggingface/docs. Added "> " to address it.
In the client documentation, the markdown 'TIP' paragraph in docs/stream#shuffle is not well executed, not as the other in the same page / while markdown is correctly considering it.
Documentation:
ht... | {
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https://api.github.com/repos/huggingface/datasets/issues/7832 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7832/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7832/comments | https://api.github.com/repos/huggingface/datasets/issues/7832/events | https://github.com/huggingface/datasets/issues/7832 | 3,555,991,552 | I_kwDODunzps7T9CAA | 7,832 | [DOCS][minor] TIPS paragraph not compiled in docs/stream | {
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Documentation:
https://huggingface.co/docs/datasets/v4.3.0/en/stream#shuffle:~:text=%5B!TIP%5D%5BIterableDataset.shuffle(... | {
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https://api.github.com/repos/huggingface/datasets/issues/7831 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7831/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7831/comments | https://api.github.com/repos/huggingface/datasets/issues/7831/events | https://github.com/huggingface/datasets/pull/7831 | 3,552,081,727 | PR_kwDODunzps6vp0pz | 7,831 | resolves the ValueError: Unable to avoid copy while creating an array | {
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Fixes #7818
This PR resolves the `ValueError: Unable to avoid copy while creating an array` error that occurs when using `train_test_split` with `stratify_by_column` parameter in NumPy 2.0+.
## Changes
- Wrapped the stratify column array access with `np.asarray()` in `arrow_dataset.py`
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https://api.github.com/repos/huggingface/datasets/issues/7830 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7830/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7830/comments | https://api.github.com/repos/huggingface/datasets/issues/7830/events | https://github.com/huggingface/datasets/pull/7830 | 3,549,769,999 | PR_kwDODunzps6viIQf | 7,830 | fix ci compressionfs | {
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https://api.github.com/repos/huggingface/datasets/issues/7829 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7829/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7829/comments | https://api.github.com/repos/huggingface/datasets/issues/7829/events | https://github.com/huggingface/datasets/issues/7829 | 3,548,584,085 | I_kwDODunzps7TgxiV | 7,829 | Memory leak / Large memory usage with num_workers = 0 and numerous dataset within DatasetDict | {
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} | ### Describe the bug
Hi team, first off, I love the datasets library! 🥰
I'm encountering a potential memory leak / increasing memory usage when training a model on a very large DatasetDict.
Setup: I have a DatasetDict containing 362 distinct datasets, which sum up to ~2.8 billion rows.
Training Task: I'm performin... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7828 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7828/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7828/comments | https://api.github.com/repos/huggingface/datasets/issues/7828/events | https://github.com/huggingface/datasets/pull/7828 | 3,545,562,802 | PR_kwDODunzps6vT3rI | 7,828 | set dev version | {
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https://api.github.com/repos/huggingface/datasets/issues/7825 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7825/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7825/comments | https://api.github.com/repos/huggingface/datasets/issues/7825/events | https://github.com/huggingface/datasets/pull/7825 | 3,541,176,759 | PR_kwDODunzps6vFc3H | 7,825 | Fix ArrowInvalid for large variables | {
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In addition to the solution proposed in the issue, I encountered we also need to support 64bit types when writing using the `RecordBatchStreamWriter`.
Not sure if we want to create such large objects in the CI, but this is the only way to test that the issue is fixed, therefore I added the unit test. | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7824 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7824/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7824/comments | https://api.github.com/repos/huggingface/datasets/issues/7824/events | https://github.com/huggingface/datasets/pull/7824 | 3,531,240,254 | PR_kwDODunzps6ukXe9 | 7,824 | Fix batch_size default description in to_polars docstrings | {
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https://api.github.com/repos/huggingface/datasets/issues/7823 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7823/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7823/comments | https://api.github.com/repos/huggingface/datasets/issues/7823/events | https://github.com/huggingface/datasets/pull/7823 | 3,525,440,347 | PR_kwDODunzps6uRkGa | 7,823 | Fix random seed on shuffle and interleave_datasets | {
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Add `shift_rngs` method to `ExamplesIterable` that is called directly after sharding. If a generator is available (not the case for all subclasses) we update the seed of the generator by shifting by the worker_id.
~This is just the fix for `shuffle`, in the corresponding issue `interleave_datasets` i... | {
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https://api.github.com/repos/huggingface/datasets/issues/7822 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7822/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7822/comments | https://api.github.com/repos/huggingface/datasets/issues/7822/events | https://github.com/huggingface/datasets/pull/7822 | 3,525,309,651 | PR_kwDODunzps6uRKIJ | 7,822 | Retry open hf file | {
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```python
File "/workdir/.venv/lib/python3.13/site-packages/datasets/utils/file_utils.py", line 934, in xopen
file_obj = fsspec.open(file, mode=mode, *args, **kwargs).open()
File "/workdir/.venv/lib/python3.13/site-packages/fsspec/core.py", line 147, in open
return self.__enter__()
... | {
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https://api.github.com/repos/huggingface/datasets/issues/7821 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7821/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7821/comments | https://api.github.com/repos/huggingface/datasets/issues/7821/events | https://github.com/huggingface/datasets/issues/7821 | 3,520,913,195 | I_kwDODunzps7R3N8r | 7,821 | Building a dataset with large variable size arrays results in error ArrowInvalid: Value X too large to fit in C integer type | {
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} | ### Describe the bug
I used map to store raw audio waveforms of variable lengths in a column of a dataset the `map` call fails with ArrowInvalid: Value X too large to fit in C integer type.
```
Traceback (most recent call last):
Traceback (most recent call last):
File "...lib/python3.12/site-packages/multiprocess/p... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7820 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7820/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7820/comments | https://api.github.com/repos/huggingface/datasets/issues/7820/events | https://github.com/huggingface/datasets/pull/7820 | 3,518,633,577 | PR_kwDODunzps6t6suZ | 7,820 | Keep hffs cache in workers when streaming | {
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When using `DataLoader(iterable_dataset, num_workers=...)` the dataset is pickled and passed to the worker. However previously the resulting dataset would be in a process with an empty hffs cache. By keeping the cache attached to `IterableDataset`, the cached hffs ... | {
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https://api.github.com/repos/huggingface/datasets/issues/7819 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7819/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7819/comments | https://api.github.com/repos/huggingface/datasets/issues/7819/events | https://github.com/huggingface/datasets/issues/7819 | 3,517,086,110 | I_kwDODunzps7Ronme | 7,819 | Cannot download opus dataset | {
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} | When I tried to download opus_books using:
from datasets import load_dataset
dataset = load_dataset("Helsinki-NLP/opus_books")
I got the following errors:
FileNotFoundError: Couldn't find any data file at /workspace/Helsinki-NLP/opus_books. Couldn't find 'Helsinki-NLP/opus_books' on the Hugging Face Hub either: Local... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7818 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7818/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7818/comments | https://api.github.com/repos/huggingface/datasets/issues/7818/events | https://github.com/huggingface/datasets/issues/7818 | 3,515,887,618 | I_kwDODunzps7RkDAC | 7,818 | train_test_split and stratify breaks with Numpy 2.0 | {
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} | ### Describe the bug
As stated in the title, since Numpy changed in version >2.0 with copy, the stratify parameters break.
e.g. `all_dataset.train_test_split(test_size=0.2,stratify_by_column="label")` returns a Numpy error.
It works if you downgrade Numpy to a version lower than 2.0.
### Steps to reproduce the bug
... | {
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https://api.github.com/repos/huggingface/datasets/issues/7817 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7817/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7817/comments | https://api.github.com/repos/huggingface/datasets/issues/7817/events | https://github.com/huggingface/datasets/pull/7817 | 3,515,755,952 | PR_kwDODunzps6tw-GG | 7,817 | fix: better args passthrough for `_batch_setitems()` | {
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It's changed to:
```python
# pickle.py
def _batch_setitems(self, items, obj):
# Helper to batch up SETITEMS sequences; proto >= 1 only
save = self.save
write = self.write
```
To accomodate this, in `dill`, we h... | {
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https://api.github.com/repos/huggingface/datasets/issues/7816 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7816/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7816/comments | https://api.github.com/repos/huggingface/datasets/issues/7816/events | https://github.com/huggingface/datasets/issues/7816 | 3,512,210,206 | I_kwDODunzps7RWBMe | 7,816 | disable_progress_bar() not working as expected | {
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} | ### Describe the bug
Hi,
I'm trying to load a dataset on Kaggle TPU image. There is some known compat issue with progress bar on Kaggle, so I'm trying to disable the progress bar globally. This does not work as you can see in [here](https://www.kaggle.com/code/windmaple/hf-datasets-issue).
In contract, disabling pro... | {
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https://api.github.com/repos/huggingface/datasets/issues/7815 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7815/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7815/comments | https://api.github.com/repos/huggingface/datasets/issues/7815/events | https://github.com/huggingface/datasets/pull/7815 | 3,511,338,522 | PR_kwDODunzps6tiDIT | 7,815 | Add nifti support | {
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supports #7804
This PR follows https://github.com/huggingface/datasets/pull/7325 very closely
I am a bit unsure what we need to add to the `document_dataset.mdx` and `document_load.mdx`. I should probably create a dataset on the hub first to create this guide instead of copy+pasting from... | {
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https://api.github.com/repos/huggingface/datasets/issues/7814 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7814/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7814/comments | https://api.github.com/repos/huggingface/datasets/issues/7814/events | https://github.com/huggingface/datasets/pull/7814 | 3,510,488,792 | PR_kwDODunzps6tfJCm | 7,814 | Allow streaming hdf5 files | {
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## Details
in `datasets` loaders, `open()` is extended to work with files that are on disk but also on HF. Files on HF are streamed using HTTP range requests using the `HfFileSystem` implementation in the `huggingface_hu... | {
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https://api.github.com/repos/huggingface/datasets/issues/7813 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7813/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7813/comments | https://api.github.com/repos/huggingface/datasets/issues/7813/events | https://github.com/huggingface/datasets/issues/7813 | 3,503,446,288 | I_kwDODunzps7Q0lkQ | 7,813 | Caching does not work when using python3.14 | {
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} | ### Describe the bug
Traceback (most recent call last):
File "/workspace/ctn.py", line 8, in <module>
ds = load_dataset(f"naver-clova-ix/synthdog-{lang}") # или "synthdog-zh" для китайского
File "/workspace/.venv/lib/python3.14/site-packages/datasets/load.py", line 1397, in load_dataset
builder_instance =... | {
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https://api.github.com/repos/huggingface/datasets/issues/7812 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7812/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7812/comments | https://api.github.com/repos/huggingface/datasets/issues/7812/events | https://github.com/huggingface/datasets/pull/7812 | 3,500,901,422 | PR_kwDODunzps6s_New | 7,812 | docs: document_dataset PDFs & OCR | {
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https://api.github.com/repos/huggingface/datasets/issues/7811 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7811/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7811/comments | https://api.github.com/repos/huggingface/datasets/issues/7811/events | https://github.com/huggingface/datasets/issues/7811 | 3,500,741,658 | I_kwDODunzps7QqRQa | 7,811 | SIGSEGV when Python exits due to near null deref | {
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"gists... | [] | open | false | null | [] | null | 4 | 2025-10-09 22:00:11+00:00 | 2025-10-10 22:09:24+00:00 | NaT | NONE | null | null | {
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"blocked_by": 0,
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} | ### Describe the bug
When I run the following python script using datasets I get a segfault.
```python
from datasets import load_dataset
from tqdm import tqdm
progress_bar = tqdm(total=(1000), unit='cols', desc='cols ')
progress_bar.update(1)
```
```
% lldb -- python3 crashmin.py
(lldb) target create "python3"
Cur... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7810 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7810/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7810/comments | https://api.github.com/repos/huggingface/datasets/issues/7810/events | https://github.com/huggingface/datasets/pull/7810 | 3,499,855,569 | PR_kwDODunzps6s7wHa | 7,810 | fix conda deps | {
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https://api.github.com/repos/huggingface/datasets/issues/7809 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7809/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7809/comments | https://api.github.com/repos/huggingface/datasets/issues/7809/events | https://github.com/huggingface/datasets/pull/7809 | 3,499,811,179 | PR_kwDODunzps6s7mwb | 7,809 | Set dev version | {
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https://api.github.com/repos/huggingface/datasets/issues/7808 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7808/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7808/comments | https://api.github.com/repos/huggingface/datasets/issues/7808/events | https://github.com/huggingface/datasets/pull/7808 | 3,499,779,993 | PR_kwDODunzps6s7gBq | 7,808 | release: 4.2.0 | {
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https://api.github.com/repos/huggingface/datasets/issues/7807 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7807/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7807/comments | https://api.github.com/repos/huggingface/datasets/issues/7807/events | https://github.com/huggingface/datasets/pull/7807 | 3,499,765,725 | PR_kwDODunzps6s7c_U | 7,807 | typo | {
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https://api.github.com/repos/huggingface/datasets/issues/7806 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7806/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7806/comments | https://api.github.com/repos/huggingface/datasets/issues/7806/events | https://github.com/huggingface/datasets/pull/7806 | 3,499,483,246 | PR_kwDODunzps6s6gnr | 7,806 | Parquet: add `on_bad_file` argument to error/warn/skip bad files | {
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from datasets import load_dataset
on_bad_file = "error" # default
# on_bad_file = "warn" # warn and skip bad file
# on_bad_file = "skip" # skip bad file
ds = load_dataset(parquet_dataset_id, on_bad_file=on_bad_file)
``` | {
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I disabled multithreading, which was actually not useful anymore since `HfFileSystem` has been using caching for a while now. | {
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https://api.github.com/repos/huggingface/datasets/issues/7804 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7804/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7804/comments | https://api.github.com/repos/huggingface/datasets/issues/7804/events | https://github.com/huggingface/datasets/issues/7804 | 3,498,534,596 | I_kwDODunzps7Qh2bE | 7,804 | Support scientific data formats | {
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- [ ] DICOMs: pydicom
- [x] NIfTIs: nibabel
- [ ] WFDB: wfdb
cc @zaRizk7 for viz
Feel free to comment / suggest other formats and libs you'd like to see or to share your interest in one of the mentioned format | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7802 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7802/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7802/comments | https://api.github.com/repos/huggingface/datasets/issues/7802/events | https://github.com/huggingface/datasets/issues/7802 | 3,497,454,119 | I_kwDODunzps7Qduon | 7,802 | [Docs] Missing documentation for `Dataset.from_dict` | {
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Link to method (docstring present): https://github.com/huggingface/datasets/blob/6f2502c5a026caa89839713f6f7c8b958e5e83eb/src/datasets/arrow_dataset.py#L1029
The docstring is present for the function, but seems missing from the... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7801 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7801/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7801/comments | https://api.github.com/repos/huggingface/datasets/issues/7801/events | https://github.com/huggingface/datasets/pull/7801 | 3,496,388,063 | PR_kwDODunzps6swITn | 7,801 | Add parquet scan options and docs | {
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https://api.github.com/repos/huggingface/datasets/issues/7800 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7800/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7800/comments | https://api.github.com/repos/huggingface/datasets/issues/7800/events | https://github.com/huggingface/datasets/pull/7800 | 3,494,747,495 | PR_kwDODunzps6sqkmT | 7,800 | Fix polars cast column image | {
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The problem here is that polars uses pyarrow large_string for images, while pandas and others just use the string type. This PR solves that and adds a test.
```python
import polars as pl
from datasets import Dataset
import pandas as pd
import pyarrow as pa
from pathlib import Path
shared_data... | {
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https://api.github.com/repos/huggingface/datasets/issues/7799 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7799/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7799/comments | https://api.github.com/repos/huggingface/datasets/issues/7799/events | https://github.com/huggingface/datasets/pull/7799 | 3,487,791,741 | PR_kwDODunzps6sTJKA | 7,799 | Define CI future | {
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https://api.github.com/repos/huggingface/datasets/issues/7798 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7798/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7798/comments | https://api.github.com/repos/huggingface/datasets/issues/7798/events | https://github.com/huggingface/datasets/issues/7798 | 3,484,470,782 | I_kwDODunzps7PsM3- | 7,798 | Audio dataset is not decoding on 4.1.1 | {
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} | ### Describe the bug
The audio column remain as non-decoded objects even when accessing them.
```python
dataset = load_dataset("MrDragonFox/Elise", split = "train")
dataset[0] # see that it doesn't show 'array' etc...
```
Works fine with `datasets==3.6.0`
Followed the docs in
- https://huggingface.co/docs/dataset... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7797 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7797/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7797/comments | https://api.github.com/repos/huggingface/datasets/issues/7797/events | https://github.com/huggingface/datasets/pull/7797 | 3,473,011,621 | PR_kwDODunzps6rhtf_ | 7,797 | Datasets: Add WMT21 & WMT22 loaders (basic TSV loaders, sample data, tests) | {
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- WMT21Dataset (local_datasets/wmt21/wmt21_dataset.py)
- WMT22Dataset (local_datasets/wmt22/wmt22_dataset.py)
These classes load source-target pairs from .tsv files for train, validation, and test splits.
- Created sample dummy data for both datasets:
- dummy_da... | {
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... | [] | open | false | null | [] | null | 0 | 2025-09-30 18:34:16+00:00 | 2025-10-10 18:44:12+00:00 | NaT | NONE | null | null | null | null | What I did:
- Fixed a small typo in README to improve clarity
- Fixed repeated word "frameworks frameworks"
- Split long paragraphs into shorter sentences for readability
- Added # Example comments before code blocks for clarity
Why:
- Helps new users avoid confusion
How I tested:
- Checked locally in Markd... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7794 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7794/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7794/comments | https://api.github.com/repos/huggingface/datasets/issues/7794/events | https://github.com/huggingface/datasets/pull/7794 | 3,460,793,966 | PR_kwDODunzps6q4XyU | 7,794 | Fix nested data conversions error in parquet loading (fixes #7793) | {
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## Problem
Loading datasets with deeply nested structures (like `metr-evals/malt-public`) fails with:
ArrowNotImplementedError: Nested data conversions not implemented for chunked array outputs
This occurs when parquet files contain nested data (lists, structs, maps) that exceed PyArrow's 16MB chun... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7793 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7793/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7793/comments | https://api.github.com/repos/huggingface/datasets/issues/7793/events | https://github.com/huggingface/datasets/issues/7793 | 3,459,496,971 | I_kwDODunzps7OM7wL | 7,793 | Cannot load dataset, fails with nested data conversions not implemented for chunked array outputs | {
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} | ### Describe the bug
Hi! When I load this dataset, it fails with a pyarrow error. I'm using datasets 4.1.1, though I also see this with datasets 4.1.2
To reproduce:
```
import datasets
ds = datasets.load_dataset(path="metr-evals/malt-public", name="irrelevant_detail")
```
Error:
```
Traceback (most recent call las... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7792 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7792/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7792/comments | https://api.github.com/repos/huggingface/datasets/issues/7792/events | https://github.com/huggingface/datasets/issues/7792 | 3,456,802,210 | I_kwDODunzps7OCp2i | 7,792 | Concatenate IterableDataset instances and distribute underlying shards in a RoundRobin manner | {
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I would like to be able to concatenate multiple `IterableDataset` with possibly different features. I would like to then be able to stream the results in parallel (both using DDP and multiple workers in the pytorch DataLoader). I want the merge of datasets to be well balanced between the different ... | {
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https://api.github.com/repos/huggingface/datasets/issues/7791 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7791/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7791/comments | https://api.github.com/repos/huggingface/datasets/issues/7791/events | https://github.com/huggingface/datasets/pull/7791 | 3,454,046,306 | PR_kwDODunzps6qh_2W | 7,791 | fix: add `num_proc` argument to `Dataset.to_sql` | {
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- Resolve issue #7788 : Add the missing argument mapping in Dataset.to_sql (`src/datasets/arrow_dataset.py`)
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https://api.github.com/repos/huggingface/datasets/issues/7788 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7788/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7788/comments | https://api.github.com/repos/huggingface/datasets/issues/7788/events | https://github.com/huggingface/datasets/issues/7788 | 3,450,913,796 | I_kwDODunzps7NsMQE | 7,788 | `Dataset.to_sql` doesn't utilize `num_proc` | {
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https://api.github.com/repos/huggingface/datasets/issues/7787 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7787/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7787/comments | https://api.github.com/repos/huggingface/datasets/issues/7787/events | https://github.com/huggingface/datasets/pull/7787 | 3,450,858,674 | PR_kwDODunzps6qXRo- | 7,787 | feat: avoid some copies in torch formatter | {
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This PR make changes the torch formatter to avoid unnecessary copies and casts when converting decoded batches to tensors.
Because many arrays are already in a torch-friendly memory layout and dtype, we can do zero‑copy conversions (`torch.from_numpy`) and only fall back t... | {
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https://api.github.com/repos/huggingface/datasets/issues/7786 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7786/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7786/comments | https://api.github.com/repos/huggingface/datasets/issues/7786/events | https://github.com/huggingface/datasets/pull/7786 | 3,448,506,148 | PR_kwDODunzps6qPTgs | 7,786 | Sample without replacement option when interleaving datasets | {
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```
import datasets
# Create datasets of different sizes to test exhaustion
data_a = [{"value": i, "source": "A"} for i in range(5)]
data_b = [{"value": i, "source":... | {
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https://api.github.com/repos/huggingface/datasets/issues/7785 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7785/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7785/comments | https://api.github.com/repos/huggingface/datasets/issues/7785/events | https://github.com/huggingface/datasets/pull/7785 | 3,439,897,018 | PR_kwDODunzps6pyTM_ | 7,785 | Fix Audio docstring by removing unsupported mono argument | {
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Who can review:
@lhoestq | {
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https://api.github.com/repos/huggingface/datasets/issues/7783 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7783/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7783/comments | https://api.github.com/repos/huggingface/datasets/issues/7783/events | https://github.com/huggingface/datasets/pull/7783 | 3,430,715,779 | PR_kwDODunzps6pT7pg | 7,783 | Support huggingface_hub v0.x and v1.x | {
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This PR adapts `datasets` to be compatible with both huggingface_hub v0.x and v1.x.
In practice nothing else should change (I've checked the codebase). The `HfHubHTTPError` is a base error defined in `huggingface_hub` that inherits from `requ... | {
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https://api.github.com/repos/huggingface/datasets/issues/7780 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7780/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7780/comments | https://api.github.com/repos/huggingface/datasets/issues/7780/events | https://github.com/huggingface/datasets/issues/7780 | 3,429,267,259 | I_kwDODunzps7MZnc7 | 7,780 | BIGPATENT dataset inaccessible (deprecated script loader) | {
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} | dataset: https://huggingface.co/datasets/NortheasternUniversity/big_patent
When I try to load it with the datasets library, it fails with:
RuntimeError: Dataset scripts are no longer supported, but found big_patent.py
Could you please publish a Parquet/Arrow export of BIGPATENT on the Hugging Face so that it can be... | {
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https://api.github.com/repos/huggingface/datasets/issues/7778 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7778/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7778/comments | https://api.github.com/repos/huggingface/datasets/issues/7778/events | https://github.com/huggingface/datasets/pull/7778 | 3,425,917,119 | PR_kwDODunzps6pDkX- | 7,778 | [FIX] force spawning pool for MacOS | {
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```python
from datasets import load_dataset
ds = load_dataset("fka/awesome-chatgpt-prompts", split="train").take(100)
ds = ds.map(lambda x: x, num_proc=4)
ds.push_to_hub("burtenshaw/dataset-test", num_proc=4)
``` | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7777 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7777/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7777/comments | https://api.github.com/repos/huggingface/datasets/issues/7777/events | https://github.com/huggingface/datasets/issues/7777 | 3,424,462,082 | I_kwDODunzps7MHSUC | 7,777 | push_to_hub not overwriting but stuck in a loop when there are existing commits | {
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} | ### Describe the bug
`get_deletions_and_dataset_card` stuck at error a commit has happened error since push to hub for http error 412 for tag 4.1.0. The error does not exists in 4.0.0.
### Steps to reproduce the bug
Create code to use push_to_hub, ran twice each time with different content for datasets.Dataset.
The... | {
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https://api.github.com/repos/huggingface/datasets/issues/7776 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7776/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7776/comments | https://api.github.com/repos/huggingface/datasets/issues/7776/events | https://github.com/huggingface/datasets/pull/7776 | 3,420,364,069 | PR_kwDODunzps6ow4yI | 7,776 | [docs] Fix broken WebDataset link on “Create a video dataset” page | {
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Fix the "WebDataset documentation" link on the Create a video dataset page to point
to the correct section on the video load guide.
### Why
The link currently points to an external repo, but the Hugging Face docs
have an internal "WebDataset" section under video_load.
### How
- docs/source/video_dat... | {
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https://api.github.com/repos/huggingface/datasets/issues/7772 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7772/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7772/comments | https://api.github.com/repos/huggingface/datasets/issues/7772/events | https://github.com/huggingface/datasets/issues/7772 | 3,417,353,751 | I_kwDODunzps7LsK4X | 7,772 | Error processing scalar columns using tensorflow. | {
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```
columns_to_return = ['input_ids','attention_mask', 'start_positions', 'end_positions']
train_ds.set_format(type='tf', columns=columns_to_return)
```
`train_ds`:
```
train_ds type: <class 'datasets.arrow_dataset.Dataset'>, shape: (1000, 9)
columns: ['question', 'sentences', 'answer', 'str_idx', 'en... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7771 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7771/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7771/comments | https://api.github.com/repos/huggingface/datasets/issues/7771/events | https://github.com/huggingface/datasets/pull/7771 | 3,414,655,424 | PR_kwDODunzps6ody5P | 7,771 | Add support for arrow iterable when concatenating or interleaving | {
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... | [] | closed | false | null | [] | null | 5 | 2025-09-14 06:40:50+00:00 | 2025-09-17 16:51:28+00:00 | 2025-09-17 16:51:28+00:00 | CONTRIBUTOR | null | null | null | null | Fixes a case when concatenating or interleaving datasets with `with_format(...)` call was slower.
Details here: https://github.com/huggingface/datasets/issues/6637
@lhoestq I tried to minimize the duplication between iter and iter_arrow methods, not sure if this is against the design, can separate those if needed. | {
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https://api.github.com/repos/huggingface/datasets/issues/7770 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7770/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7770/comments | https://api.github.com/repos/huggingface/datasets/issues/7770/events | https://github.com/huggingface/datasets/pull/7770 | 3,413,892,226 | PR_kwDODunzps6obQdR | 7,770 | Fix: Correct float feature generation in `generate_examples` | {
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... | [] | open | false | null | [] | null | 1 | 2025-09-13 17:37:09+00:00 | 2025-09-28 12:43:04+00:00 | NaT | CONTRIBUTOR | null | null | null | null | This PR fixes a bug in the `generate_examples` function where `datasets.Value` features with a `float` dtype were incorrectly generated using `np.random.randint`. This resulted in integer values being cast to float, which is not representative of true floating-point data.
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1. Added explicit... | {
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https://api.github.com/repos/huggingface/datasets/issues/7768 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7768/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7768/comments | https://api.github.com/repos/huggingface/datasets/issues/7768/events | https://github.com/huggingface/datasets/pull/7768 | 3,413,755,917 | PR_kwDODunzps6oa1A7 | 7,768 | Custom `dl_manager` in `load_dataset` | {
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https://github.com/huggingface/datasets/blob/4.0.0/src/datasets/load.py#L1411-L1418
```
def load_dataset(
...
dl_manager: Optional[DownloadManager] = None, # add this new argument
**config_kwargs,
) -> Union[DatasetDict, Dataset, IterableDatasetDict, IterableDataset]:
...
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