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https://api.github.com/repos/huggingface/datasets/issues/7913 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7913/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7913/comments | https://api.github.com/repos/huggingface/datasets/issues/7913/events | https://github.com/huggingface/datasets/pull/7913 | 3,758,884,376 | PR_kwDODunzps66aEsF | 7,913 | Add lance format support | {
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```py
import datasets
ds = datasets.load_dataset("org/lance_repo", split="train")
# Or
ds = datasets.load_dataset("./local/data.lance")
``` | {
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https://api.github.com/repos/huggingface/datasets/issues/7912 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7912/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7912/comments | https://api.github.com/repos/huggingface/datasets/issues/7912/events | https://github.com/huggingface/datasets/pull/7912 | 3,755,023,829 | PR_kwDODunzps66NQzG | 7,912 | fix low but large example indexerror | {
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"merged_at": "2026-01-09T13:23... | Fixes #7911.
This PR simply implements the approach outlined in the corresponding issue, that if we have large examples, the number of shards should never be more than the number of samples. This is an absolute edge case, but can happen for image data. | {
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https://api.github.com/repos/huggingface/datasets/issues/7911 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7911/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7911/comments | https://api.github.com/repos/huggingface/datasets/issues/7911/events | https://github.com/huggingface/datasets/issues/7911 | 3,753,447,559 | I_kwDODunzps7fuRCH | 7,911 | IndexError when saving few large examples to disk | {
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I ran into this issue when processing a file (900MB) with just one example but simplified for a quicker reproducer below. The problem is that, if `num_shards` is not explicitly set, we calculate it manually using https://github.com/huggingface/datasets/blob/main/src/datasets/utils/py_utils.py#L96 ... | {
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https://api.github.com/repos/huggingface/datasets/issues/7909 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7909/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7909/comments | https://api.github.com/repos/huggingface/datasets/issues/7909/events | https://github.com/huggingface/datasets/issues/7909 | 3,749,885,131 | I_kwDODunzps7fgrTL | 7,909 | Support cast_kwargs in cast_columns | {
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expose `cast(**cast_kwargs)` to `cast_column()`
https://github.com/huggingface/datasets/blob/0feb65dd8733191dd2d1e74215b422fc5939a56a/src/datasets/arrow_dataset.py#L2205
### Motivation
`cast_column()` wraps `cast()` function without exposing any `cast()` args. For large multi-modal datasets, e.g... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7906 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7906/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7906/comments | https://api.github.com/repos/huggingface/datasets/issues/7906/events | https://github.com/huggingface/datasets/pull/7906 | 3,747,764,992 | PR_kwDODunzps651jiI | 7,906 | Don't save original_shard_lengths by default for backward compat | {
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but let users enable it with `datasets.config.SAVE_ORIGINAL_SHARD_LENGTHS = True`
this is useful for the Dataset Viewer to know where each row comes from after converting to parquet | {
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https://api.github.com/repos/huggingface/datasets/issues/7905 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7905/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7905/comments | https://api.github.com/repos/huggingface/datasets/issues/7905/events | https://github.com/huggingface/datasets/issues/7905 | 3,734,233,245 | I_kwDODunzps7ek-Cd | 7,905 | Unbounded network usage when opening Data Studio | {
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Opening the Data Studio tab on a dataset page triggers continuous and unbounded network traffic. This issue occurs across multiple browsers and continues even without user interaction.
### Steps to reproduce the bug
https://huggingface.co/datasets/slone/nllb-200-10M-sample/viewer
### Expected... | {
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I'm building production neuroimaging pipelines that depend on `datasets` and would benefit greatly from two pending PRs being reviewed/merged.
## Pending PRs
| PR | Description | Status | Open Since |
|----|-------------|--------|------------|
| [#7886](https://github.com/huggingface/datasets/pull/7886) |... | null | {
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... | open | false | [] | null | 1 | 2025-12-12T12:37:44 | 2025-12-15T11:48:16 | null | null | NONE | [] | null | null | null | null | ### Feature request
The child process retrieves the dataset directly from the main process instead of executing `memory_mapped_arrow_table_from_file`.
### Motivation
Because my local disk space is insufficient, I can only store a dataset on a remote Ceph server and process it using datasets.
I used the data-juicer[h... | null | {
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ShuffledDataSourcesArrowExamplesIterable cannot properly resume from checkpoint
### Steps to reproduce the bug
1. The reproducible code is as follows：
```
from datasets import Dataset, concatenate_datasets, interleave_datasets
ds = Dataset.from_dict({"a": range(12)}).to_iterable_dataset(num_sha... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7900 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7900/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7900/comments | https://api.github.com/repos/huggingface/datasets/issues/7900/events | https://github.com/huggingface/datasets/issues/7900 | 3,711,751,590 | I_kwDODunzps7dPNWm | 7,900 | `Permission denied` when sharing cache between users | {
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We want to use `datasets` and `transformers` on a shared machine. Right now, each user has a separate HF_HOME in their home directory. To reduce duplicates of the datasets, we want to share that cache. While experimenting, we are running into `Permission denied` errors.
It looks like this was sup... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7899 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7899/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7899/comments | https://api.github.com/repos/huggingface/datasets/issues/7899/events | https://github.com/huggingface/datasets/pull/7899 | 3,707,063,236 | PR_kwDODunzps63t1LS | 7,899 | Add inspect_ai eval logs support | {
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They are actually ZIP files according to the source code at https://github.com/UKGovernmentBEIS/inspect_ai/blob/main/src/inspect_ai/log/_log.py
Unfortunately their format can't be converted to Parquet, so I had to JSON-encode all the nested values
```python
ds = loa... | {
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https://api.github.com/repos/huggingface/datasets/issues/7898 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7898/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7898/comments | https://api.github.com/repos/huggingface/datasets/issues/7898/events | https://github.com/huggingface/datasets/pull/7898 | 3,698,376,429 | PR_kwDODunzps63Q9BO | 7,898 | docs: making PyPi to PyPI ensuring no spelling errors | {
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} | This PR adds a short clarification in the README section wherein PyPI the python package was mistakenly typed as PyPi which i have fixed
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https://api.github.com/repos/huggingface/datasets/issues/7897 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7897/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7897/comments | https://api.github.com/repos/huggingface/datasets/issues/7897/events | https://github.com/huggingface/datasets/pull/7897 | 3,691,300,022 | PR_kwDODunzps624-k2 | 7,897 | Save input shard lengths | {
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cc @cfahlgren1
next step is use it in Dataset Viewer and expose an API that returns the file containing the row at rowId
(took the opportunity to remove unusued code) | {
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https://api.github.com/repos/huggingface/datasets/issues/7896 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7896/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7896/comments | https://api.github.com/repos/huggingface/datasets/issues/7896/events | https://github.com/huggingface/datasets/pull/7896 | 3,688,480,675 | PR_kwDODunzps62vZtn | 7,896 | fix: force contiguous copy for sliced list arrays in embed_array_storage | {
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} | ## Summary
Fixes SIGKILL crash in `embed_array_storage` when processing sliced/sharded datasets with nested types like `Sequence(Nifti())` or `Sequence(Image())`.
**Root cause**: When `ds.shard()` or `ds.select()` creates a sliced view, `array.values` on a sliced `ListArray` returns values with internal offset refere... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7895 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7895/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7895/comments | https://api.github.com/repos/huggingface/datasets/issues/7895/events | https://github.com/huggingface/datasets/pull/7895 | 3,688,479,825 | PR_kwDODunzps62vZik | 7,895 | fix: use temp files in push_to_hub to prevent OOM on large datasets | {
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} | ## Summary
Fixes memory accumulation in `_push_parquet_shards_to_hub_single` that causes OOM when uploading large datasets with many shards.
**Root cause**: The current implementation stores ALL parquet shard bytes in memory via `BytesIO`, accumulating in the `additions` list. For N shards of ~300MB each, this requir... | {
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https://api.github.com/repos/huggingface/datasets/issues/7894 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7894/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7894/comments | https://api.github.com/repos/huggingface/datasets/issues/7894/events | https://github.com/huggingface/datasets/issues/7894 | 3,688,455,006 | I_kwDODunzps7b2Vte | 7,894 | embed_table_storage crashes (SIGKILL) on sharded datasets with Sequence() nested types | {
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`embed_table_storage` crashes with SIGKILL (exit code 137) when processing sharded datasets containing `Sequence()` nested types like `Sequence(Nifti())`. Likely affects `Sequence(Image())` and `Sequence(Audio())` as well.
The crash occurs at the C++ level with no Python traceback.
### Related Issues
- #... | null | {
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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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"merged_at": "2025-12-19T14:13... | 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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"merged_at": "2025-12-16T14:20... | 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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} | ## 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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"merged_at": "2025-12-08T12:06... | 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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"merged_at": "2025-12-19T14:14... | ## 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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} | ## 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... | null | {
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"merged_at": "2025-12-04T16:09... | 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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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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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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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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"merged_at": "2025-11-21T12:31... | 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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} | 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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`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 | 2025-11-13T00:51:07 | 2026-04-23T12:29:09 | 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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#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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} | 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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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
f... | null | {
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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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"merged_at": "2025-11-03T14:24... | 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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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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"merged_at": "2025-10-28T16:10... | ## 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/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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"merged_at": "2025-10-24T14:04... | closes #7567
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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"merged_at": "2025-10-17T09:51... | Fix this error
```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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"merged_at": "2025-10-17T09:59... | (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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"merged_at": "2025-10-27T17:08... | 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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"merged_at": "2025-10-24T13:22... | Add support for NIfTI.
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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"merged_at": "2025-10-13T15:28... | 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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