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https://api.github.com/repos/huggingface/datasets/issues/7893 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7893/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7893/comments | https://api.github.com/repos/huggingface/datasets/issues/7893/events | https://github.com/huggingface/datasets/issues/7893 | 3,688,454,085 | I_kwDODunzps7b2VfF | 7,893 | push_to_hub OOM: _push_parquet_shards_to_hub accumulates all shard bytes in memory | {
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Large dataset uploads crash or hang due to memory exhaustion. This appears to be the root cause of several long-standing issues.
### Related Issues
This is the root cause of:
- #5990 - Pushing a large dataset on the hub consistently hangs (46 comments, open since 2023)
- #7400 - 504 Gateway Timeout when u... | {
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https://api.github.com/repos/huggingface/datasets/issues/7892 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7892/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7892/comments | https://api.github.com/repos/huggingface/datasets/issues/7892/events | https://github.com/huggingface/datasets/pull/7892 | 3,681,848,709 | PR_kwDODunzps62ZFzh | 7,892 | encode nifti correctly when uploading lazily | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | When trying to upload nifti datasets lazily I got the error:
```python
from pathlib import Path
from datasets import load_dataset
nifti_dir = Path("<local_path>")
dataset = load_dataset(
"niftifolder",
data_dir=str(nifti_dir.absolute()),
streaming=True,
)
dataset.push_to_hub(repo... | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Fixes #7877 and follows up on feedback from [`#7890`](https://github.com/huggingface/datasets/pull/7890).
## Context
In [`#7890`](https://github.com/huggingface/datasets/pull/7890) it was introduced an automatic creation of the `TMPDIR` directory in `_TempCacheDir` so that `datasets` does not silently fall back to `/... | {
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https://api.github.com/repos/huggingface/datasets/issues/7890 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7890/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7890/comments | https://api.github.com/repos/huggingface/datasets/issues/7890/events | https://github.com/huggingface/datasets/pull/7890 | 3,677,077,051 | PR_kwDODunzps62JMyH | 7,890 | Fix: Auto-create TMPDIR directory when it doesn't exist (Issue #7877) | {
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} | # Fix: Auto-create TMPDIR directory when it doesn't exist
Fixes #7877
## Description
This PR fixes issue #7877 by implementing automatic creation of the `TMPDIR` directory when it is set but doesn't exist. Previously, `tempfile.mkdtemp()` would silently ignore `TMPDIR` and fall back to `/tmp` if the specified direct... | {
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https://api.github.com/repos/huggingface/datasets/issues/7889 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7889/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7889/comments | https://api.github.com/repos/huggingface/datasets/issues/7889/events | https://github.com/huggingface/datasets/pull/7889 | 3,676,933,025 | PR_kwDODunzps62Iykj | 7,889 | fix(tests): stabilize flaky Hub LFS integration test | {
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} | ## Problem
`test_push_dataset_dict_to_hub_overwrite_files` intermittently fails with:
```
BadRequestError: LFS pointer pointed to a file that does not exist
```
This has been causing the `deps-latest` integration tests to fail on main (visible in recent CI runs). I ran into this while working on the BIDS loader PR an... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7888 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7888/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7888/comments | https://api.github.com/repos/huggingface/datasets/issues/7888/events | https://github.com/huggingface/datasets/pull/7888 | 3,676,407,260 | PR_kwDODunzps62HOM4 | 7,888 | Add type overloads to load_dataset for better static type inference | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Fixes #7883
This PR adds @overload decorators to load_dataset() to help type checkers like Pylance and mypy correctly infer the return type based on the split and streaming parameters.
Changes:
- Added typing imports (Literal, overload) to load.py
- Added 4 @overload signatures that map argument combinations to... | {
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https://api.github.com/repos/huggingface/datasets/issues/7887 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7887/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7887/comments | https://api.github.com/repos/huggingface/datasets/issues/7887/events | https://github.com/huggingface/datasets/pull/7887 | 3,676,203,387 | PR_kwDODunzps62GltX | 7,887 | fix(nifti): enable lazy loading for Nifti1ImageWrapper | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | ## Summary
- **Single-line fix**: Change `dataobj=nifti_image.get_fdata()` → `dataobj=nifti_image.dataobj`
- Preserves nibabel's `ArrayProxy` for true lazy loading instead of eagerly loading entire NIfTI files into memory
- Improves error handling: corrupted files now fail at access time with clear context instead of s... | {
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https://api.github.com/repos/huggingface/datasets/issues/7886 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7886/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7886/comments | https://api.github.com/repos/huggingface/datasets/issues/7886/events | https://github.com/huggingface/datasets/pull/7886 | 3,676,185,151 | PR_kwDODunzps62Gh1c | 7,886 | feat(bids): Add BIDS dataset loader for neuroimaging data | {
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} | ## Summary
Adds native BIDS (Brain Imaging Data Structure) dataset loading support using PyBIDS, enabling `load_dataset('bids', data_dir='/path/to/bids')` workflow for neuroimaging researchers.
**Contributes to #7804** (Support scientific data formats) - BIDS is a widely-used standard for organizing neuroimaging data... | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Summary of the change:
Made new_fingerprint optional (Optional[str] = None) in Dataset.add_column and Dataset.add_item
Added a simple test to verify both methods work without providing a fingerprint
Why this change is safe:
The Dataset constructor already handles fingerprint=None by generating a new fingerpri... | {
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Hi, everyone ! I am a beginner with datasets.
I am testing reading multiple CSV files from a zip archive. The result of reading the dataset shows success, and it can ultimately be correctly saved to CSV.
Intermediate results:
```
Generating train split: 62973 examples [00:00, 175939.01 examples/... | {
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https://api.github.com/repos/huggingface/datasets/issues/7882 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7882/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7882/comments | https://api.github.com/repos/huggingface/datasets/issues/7882/events | https://github.com/huggingface/datasets/issues/7882 | 3,667,664,527 | I_kwDODunzps7anB6P | 7,882 | Inconsistent loading of LFS-hosted files in epfml/FineWeb-HQ dataset | {
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Some files in the `epfml/FineWeb-HQ` 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/epfml/FineWeb-HQ/blob/main/data/CC-MAIN-2024-26/000_00003.parquet
- Works: ht... | null | {
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When using `audiofolder` or `imagefolder` with directories for **splits** (train/test) rather than class labels, a spurious `label` column is incorrectly created.
**Example:** https://huggingface.co/datasets/datasets-examples/doc-audio-4
```
from datasets import load_dataset
ds = load_dataset("dat... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7879 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7879/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7879/comments | https://api.github.com/repos/huggingface/datasets/issues/7879/events | https://github.com/huggingface/datasets/issues/7879 | 3,657,249,446 | I_kwDODunzps7Z_TKm | 7,879 | python core dump when downloading dataset | {
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When downloading a dataset in streamed mode and exiting the program before the download completes, the python program core dumps when exiting:
```
terminate called without an active exception
Aborted (core dumped)
```
Tested with python 3.12.3, python 3.9.21
### Steps to reproduce the bug
Cr... | null | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | I was contacted by Chris Rorden whose group is developing NiiVue (see https://github.com/niivue/niivue), which leverages WebGL2 (in contrast to Papaya which is WebGL1 based). He also offered support in the implementation, which might come in handy in case of any questions later on (see DICOM implemenation). I completel... | {
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https://api.github.com/repos/huggingface/datasets/issues/7877 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7877/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7877/comments | https://api.github.com/repos/huggingface/datasets/issues/7877/events | https://github.com/huggingface/datasets/issues/7877 | 3,652,906,788 | I_kwDODunzps7Zuu8k | 7,877 | work around `tempfile` silently ignoring `TMPDIR` if the dir doesn't exist | {
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However, the `tempfile` facility that `datasets` and `pyarrow` use ... | {
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} | Adds an integration test for the `HuggingFaceM4/InterleavedWebDocuments` dataset.
- Gracefully skips if the dataset is not yet available on the Hub
- Checks basic loading and structure once it becomes available
Closes #7394
First-time contributor to `datasets` — really excited about this! Happy to make any ad... | null | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | closes #7870
leverage Papaya to visualize nifti images. For this I created a Wrapper class for `nibabel.nifti1.Nifti1Image` that provides the same interface but exposes an additional `_repr_html_` method, which is needed to visualize the image in jupyter (didn't test in colab, but that should work equivalently).
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https://api.github.com/repos/huggingface/datasets/issues/7873 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7873/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7873/comments | https://api.github.com/repos/huggingface/datasets/issues/7873/events | https://github.com/huggingface/datasets/pull/7873 | 3,643,993,705 | PR_kwDODunzps60a_IZ | 7,873 | Fix chunk casting and schema unification in dataset | {
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} | Updated chunk handling to cast to expected schema when features are provided or to unify schemas when not. This ensures proper schema alignment for the yielded batches.
fixes #7872
This PR fixes a bug where `IterableDataset` created from a generator with explicit `features` parameter would fail during arrow oper... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7872 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7872/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7872/comments | https://api.github.com/repos/huggingface/datasets/issues/7872/events | https://github.com/huggingface/datasets/issues/7872 | 3,643,681,893 | I_kwDODunzps7ZLixl | 7,872 | IterableDataset does not use features information in to_pandas | {
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`IterableDataset` created from generator with explicit `features=` parameter seems to ignore provided features description for certain operations, e.g. `.to_pandas(...)` when data coming from the generator has missing values.
### Steps to reproduce the bug
```python
import datasets
from datasets... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7871 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7871/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7871/comments | https://api.github.com/repos/huggingface/datasets/issues/7871/events | https://github.com/huggingface/datasets/issues/7871 | 3,643,607,371 | I_kwDODunzps7ZLQlL | 7,871 | Reqwest Error: HTTP status client error (429 Too Many Requests) | {
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full error message:
```
Traceback (most recent call last):
File "/home/yanan/miniconda3/bin/hf", line 7, in <module>
sys.exit(main())
~~~~^^
File "/home/yanan/miniconda3/lib/python3.13/site-packages/huggingface_hub/cli/hf.py", line 56, in main
app()
~~~^^
File "/ho... | {
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https://api.github.com/repos/huggingface/datasets/issues/7870 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7870/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7870/comments | https://api.github.com/repos/huggingface/datasets/issues/7870/events | https://github.com/huggingface/datasets/issues/7870 | 3,642,209,953 | I_kwDODunzps7ZF7ah | 7,870 | Visualization for Medical Imaging Datasets | {
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I checked the possibilities to visualize the nifti (and potentially dicom), and here's what I found:
- https://github.com/aces/brainbrowser, AGPL3 license, last commit 3 months ago, latest (github) release from 2017. It's available on jsdelivr... | {
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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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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... | {
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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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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... | {
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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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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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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 | 14 | 2025-11-13T00:51:07Z | 2026-04-23T12:29:09Z | null | null | NONE | [] | null | null | null | null | ### 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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} | Added flatten_indices parameter to control index flattening during dataset saving.
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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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:
`... | null | {
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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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} | Load_dataset will handle local saved datasets that way
#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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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | would be cool to automate finding those broken links as i think there might be many of them @lhoestq @albertvillanova | {
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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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} | This is PR builds on top of #7706 to revive the unfinished #6832 but isn't just cleaning up things, here are some important changes:
- `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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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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} | this works:
```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
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Adds `embed_storage` function and allows gzipped files to be loaded correctly from local storage. | {
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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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As mentioned in the issue `mode` has been copy-pasted but isn't used in these files. | {
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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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- 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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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Fixes #7837
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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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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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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} | supports #7804
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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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | 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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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | ## Summary
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`
- This allow... | {
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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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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/7827 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7827/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7827/comments | https://api.github.com/repos/huggingface/datasets/issues/7827/events | https://github.com/huggingface/datasets/pull/7827 | 3,545,543,117 | PR_kwDODunzps6vTz7T | 7,827 | release: 4.3.0 | {
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https://api.github.com/repos/huggingface/datasets/issues/7826 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7826/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7826/comments | https://api.github.com/repos/huggingface/datasets/issues/7826/events | https://github.com/huggingface/datasets/pull/7826 | 3,545,534,210 | PR_kwDODunzps6vTyKR | 7,826 | picklable batch_fn | {
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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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} | Fixes #7821
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/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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```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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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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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | (and also reorder the hffs args to improve caching)
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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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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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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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | In Python 3.14, there's a change in the signature of `_Pickler._batch_setitems`.
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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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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"diff_url": "https://github.com/huggingface/datasets/pull/7814.diff",
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Add streaming support after https://github.com/huggingface/datasets/pull/7690, cc @klamike :)
## 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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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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"gist... | [] | closed | false | [] | null | 0 | 2025-10-09T23:31:41Z | 2025-10-20T14:03:53Z | 2025-10-20T14:03:53Z | null | CONTRIBUTOR | [] | null | null | 0 | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Use acronyms consistently across document_dataset docs. | {
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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 | 4 | 2025-10-09T22:00:11Z | 2025-10-10T22:09:24Z | null | null | NONE | [] | null | null | null | null | ### 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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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | ```python
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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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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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Fixes #7765
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/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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"gist... | [] | open | false | [] | null | 3 | 2025-10-05T06:37:50Z | 2025-10-06T14:07:55Z | null | null | NONE | [] | null | null | null | null | ### 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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} | - Implemented TSV-based dataset loaders:
- 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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https://api.github.com/repos/huggingface/datasets/issues/7796 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7796/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7796/comments | https://api.github.com/repos/huggingface/datasets/issues/7796/events | https://github.com/huggingface/datasets/pull/7796 | 3,470,616,799 | PR_kwDODunzps6rZjrW | 7,796 | Docs: fix typo, improve readability, add code comments | {
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} | 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/7795 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7795/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7795/comments | https://api.github.com/repos/huggingface/datasets/issues/7795/events | https://github.com/huggingface/datasets/pull/7795 | 3,463,990,654 | PR_kwDODunzps6rDEce | 7,795 | Add pyarrow's binary view to features | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Basically https://github.com/huggingface/datasets/pull/7718 just for binary view instead of string view | {
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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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} | Fixes #7793
## 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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"gists_url"... | [] | open | false | [] | null | 1 | 2025-09-27T01:03:12Z | 2025-09-27T21:35:31Z | null | null | NONE | [] | null | null | null | null | ### 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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] | closed | false | [] | null | 17 | 2025-09-26T10:05:19Z | 2025-10-15T18:05:23Z | 2025-10-15T18:05:23Z | null | NONE | [] | null | null | null | null | ### Feature request
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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