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https://api.github.com/repos/huggingface/datasets/issues/8554 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8554/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8554/comments | https://api.github.com/repos/huggingface/datasets/issues/8554/events | https://github.com/huggingface/datasets/pull/8554 | 5,322,161,046 | PR_kwDODunzps8AAAABB361jg | 8,554 | fix: Normalize negative indices in Dataset.select to fix OverflowError | {
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} | ## Description
Dataset.select raised OverflowError for negative indices like -1, even though they are valid (e.g., -1 means last element). The issue was that pyarrow's uint64 array can't hold negative values.
The fix normalizes negative indices to positive ones after validation but before converting to pyarrow array.... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8553 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8553/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8553/comments | https://api.github.com/repos/huggingface/datasets/issues/8553/events | https://github.com/huggingface/datasets/pull/8553 | 5,322,140,555 | PR_kwDODunzps8AAAABB35yTw | 8,553 | fix: Add per-element validation to ClassLabel.str2int and int2str | {
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} | ## Description
ClassLabel.str2int and int2str were validating only the container (the list), not the elements inside it. This caused silent failures:
- `str2int([1])` returned `[1]` instead of raising ValueError
- `int2str([1.7])` returned `['pos']` (truncated float) instead of raising ValueError
## Fix
1. **str2in... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8552 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8552/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8552/comments | https://api.github.com/repos/huggingface/datasets/issues/8552/events | https://github.com/huggingface/datasets/pull/8552 | 5,322,122,794 | PR_kwDODunzps8AAAABB344Tg | 8,552 | fix: Remove double-wrapping of storage_options in xPath.glob | {
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} | ## Description
The `xPath.glob` method was double-wrapping storage_options when calling `url_to_fs`.
The `_prepare_path_and_storage_options` function already returns storage_options keyed by protocol (e.g., `{protocol: options}`), but the code was re-wrapping it as `{protocol: {protocol: options}}`, causing fsspec t... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8551 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8551/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8551/comments | https://api.github.com/repos/huggingface/datasets/issues/8551/events | https://github.com/huggingface/datasets/pull/8551 | 5,319,937,339 | PR_kwDODunzps8AAAABB2KANg | 8,551 | Fix docstring argument names that don't match signatures | {
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} | Three docstrings document parameters that don't exist on the function, so the rendered docs advertise arguments that raise `TypeError`.
| Location | Documented | Actual signature |
|---|---|---|
| `Dataset.train_test_split` | `train_cache_file_name`, `test_cache_file_name` | `train_indices_cache_file_name`, `test_indi... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8550 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8550/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8550/comments | https://api.github.com/repos/huggingface/datasets/issues/8550/events | https://github.com/huggingface/datasets/pull/8550 | 5,319,487,114 | PR_kwDODunzps8AAAABB1zrzA | 8,550 | docs: relabel directional classes on horizontal flips | {
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} | Fixes huggingface/datasets#8522
## Summary
- Add a semantic segmentation section on swapping left/right class IDs during horizontal flips
- Show a NumPy-only `set_transform` recipe for the human parsing dataset
- Mention AlbumentationsX as an optional path with license notes
## Test plan
- [x] Docs reviewed locally; ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8549 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8549/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8549/comments | https://api.github.com/repos/huggingface/datasets/issues/8549/events | https://github.com/huggingface/datasets/pull/8549 | 5,319,483,712 | PR_kwDODunzps8AAAABB1zgdg | 8,549 | fix: use Sequence for path_or_paths type hints | {
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} | Fixes huggingface/datasets#5354
## Summary
- Replace `list[PathLike]` with `Sequence[PathLike]` in `from_csv`, `from_json`, `from_parquet`, and `from_text` signatures
## Test plan
- [x] Type-only change; no runtime behavior change | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8548 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8548/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8548/comments | https://api.github.com/repos/huggingface/datasets/issues/8548/events | https://github.com/huggingface/datasets/pull/8548 | 5,319,459,772 | PR_kwDODunzps8AAAABB1yTmQ | 8,548 | fix: accept pathlib.Path in save_to_disk and load_from_disk | {
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} | Fixes huggingface/datasets#6829
## Summary
- Convert path-like arguments with `os.fspath` before `url_to_fs` in Dataset, DatasetDict, and `load_from_disk`
- Add regression test for `pathlib.Path` round-trip
## Test plan
- [x] Added `test_save_and_load_from_disk_with_pathlib` | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8547 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8547/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8547/comments | https://api.github.com/repos/huggingface/datasets/issues/8547/events | https://github.com/huggingface/datasets/pull/8547 | 5,316,925,645 | PR_kwDODunzps8AAAABBzza-w | 8,547 | docs: clarify create dataset tutorial structure | {
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## Summary
- Cross-link file and folder builders with the loading guide
- Clarify in-memory vs file-based dataset creation paths
- Link to the repository structure guide
## Test plan
- [x] Docs links reviewed locally | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8546 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8546/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8546/comments | https://api.github.com/repos/huggingface/datasets/issues/8546/events | https://github.com/huggingface/datasets/pull/8546 | 5,316,877,431 | PR_kwDODunzps8AAAABBzw9fg | 8,546 | docs: surface repository structure guide earlier in docs | {
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## Summary
- Add repository structure to the Tutorials section in the docs navigation
- Link the guide from the docs index and quickstart
## Test plan
- [x] Docs navigation and links reviewed locally
Made with [Cursor](https://cursor.com) | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8545 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8545/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8545/comments | https://api.github.com/repos/huggingface/datasets/issues/8545/events | https://github.com/huggingface/datasets/pull/8545 | 5,316,542,009 | PR_kwDODunzps8AAAABBzfsnw | 8,545 | docs: expand performance guidance in cache guide | {
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## Summary
Expanded the **Improve performance** section in `docs/source/cache.mdx` with three practical guides:
- **Maximize iteration speed** - in-memory loading, `num_proc`, batched `.map()`, caching
- **Minimize RAM usage** - streaming, column selection, cache cleanup
- **Minimize di... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8544 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8544/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8544/comments | https://api.github.com/repos/huggingface/datasets/issues/8544/events | https://github.com/huggingface/datasets/pull/8544 | 5,308,792,864 | PR_kwDODunzps8AAAABBtRb4w | 8,544 | Fix double-wrapped storage options in xPath.glob | {
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} | Fixes #8543
### Root cause
`_prepare_path_and_storage_options` returns storage options already keyed by protocol. That contract is stated in the docstring of `_prepare_single_hop_path_and_storage_options` ("Storage options are formatted in the form {protocol: storage_options_for_protocol}") and applied just before it... | {
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https://api.github.com/repos/huggingface/datasets/issues/8543 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8543/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8543/comments | https://api.github.com/repos/huggingface/datasets/issues/8543/events | https://github.com/huggingface/datasets/issues/8543 | 5,308,784,806 | I_kwDODunzps8AAAABPG2gpg | 8,543 | xPath.glob passes double-wrapped storage options to url_to_fs | {
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`xPath.glob` adds a second protocol key to the storage options before passing them to `url_to_fs`, so fsspec receives `https={'https': {...}}` instead of `https={...}`.
`_prepare_path_and_storage_options` already returns them protocol keyed, and the docstring of `_prepare_single_hop_path_and_stor... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8542 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8542/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8542/comments | https://api.github.com/repos/huggingface/datasets/issues/8542/events | https://github.com/huggingface/datasets/pull/8542 | 5,307,239,417 | PR_kwDODunzps8AAAABBsDRGw | 8,542 | feat(features): add BioSequence and BioStructure decodable features | {
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"merged_at": "2026-09-10T12:40... | Adds two decodable feature types that store a biological file as bytes and decode it to the biopython object the format describes.
| Type | Module | `decode_example` returns | Serves |
|---|---|---|---|
| `BioSequence` | `features/bio_sequence.py` | `Bio.SeqRecord.SeqRecord` | FASTA #7923, FASTQ #7924, GenBank #7951 |... | {
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https://api.github.com/repos/huggingface/datasets/issues/8541 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8541/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8541/comments | https://api.github.com/repos/huggingface/datasets/issues/8541/events | https://github.com/huggingface/datasets/pull/8541 | 5,303,662,770 | PR_kwDODunzps8AAAABBpLTzg | 8,541 | Actually drop malformed splits in DatasetInfo._from_yaml_dict | {
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} | `DatasetInfo._from_yaml_dict` logs "Ignoring part of dataset_info from the dataset card" but does not ignore it. The `except ValueError` added in #8462 leaves the raw value in `yaml_data`, and `splits` is a field name, so the next line still passes it to the constructor:
```python
if yaml_data.get("splits") is not Non... | {
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https://api.github.com/repos/huggingface/datasets/issues/8540 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8540/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8540/comments | https://api.github.com/repos/huggingface/datasets/issues/8540/events | https://github.com/huggingface/datasets/pull/8540 | 5,303,632,207 | PR_kwDODunzps8AAAABBpJuBA | 8,540 | Fix language name for ISO code 'blk' (#8505) | {
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} | The `blk` entry listed "Pa'o Karen; Pa'O". Per the request from a native speaker in #8505, "Karen" is an external administrative classification rather than a self-designation, so the entry now uses the self-identified name "Pa'O". | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8539 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8539/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8539/comments | https://api.github.com/repos/huggingface/datasets/issues/8539/events | https://github.com/huggingface/datasets/pull/8539 | 5,293,957,237 | PR_kwDODunzps8AAAABBhiXpQ | 8,539 | Apply the bit-vs-byte suffix rule to the binary size units | {
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} | ### Symptom
`convert_file_size_to_int()` treats a lowercase trailing `b` as bits and divides by 8, but only for the decimal units. The binary units ignore the suffix entirely:
```python
>>> from datasets.utils.py_utils import convert_file_size_to_int
>>> convert_file_size_to_int("1Gb") # gigabit, correct
125000000... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8538 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8538/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8538/comments | https://api.github.com/repos/huggingface/datasets/issues/8538/events | https://github.com/huggingface/datasets/pull/8538 | 5,293,199,186 | PR_kwDODunzps8AAAABBg-uPQ | 8,538 | Fix batched JSON record export | {
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https://api.github.com/repos/huggingface/datasets/issues/8537 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8537/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8537/comments | https://api.github.com/repos/huggingface/datasets/issues/8537/events | https://github.com/huggingface/datasets/issues/8537 | 5,291,992,964 | I_kwDODunzps8AAAABO21nhA | 8,537 | JPEG XL support | {
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https://api.github.com/repos/huggingface/datasets/issues/8536 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8536/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8536/comments | https://api.github.com/repos/huggingface/datasets/issues/8536/events | https://github.com/huggingface/datasets/pull/8536 | 5,291,506,594 | PR_kwDODunzps8AAAABBfvMuQ | 8,536 | Fix broken markdown link to audio_load guide | {
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} | ## What
Fixed a stray closing bracket in about_mapstyle_vs_iterable.mdx that broke the markdown link to the audio_load guide.
## Why
A small, objectively-verifiable improvement (broken-link) found during a
daily open-source maintenance pass (2026-08-30).
## How verified
Read the source line, confirmed the audio link ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8535 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8535/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8535/comments | https://api.github.com/repos/huggingface/datasets/issues/8535/events | https://github.com/huggingface/datasets/pull/8535 | 5,290,776,958 | PR_kwDODunzps8AAAABBfNdjg | 8,535 | Validate delimiter and repeated column_names in ConllConfig | {
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} | ### The bug
Two `ConllConfig` arguments reach low-level code before anything validates them, so the resulting error never mentions the argument that is wrong. Both arrive wrapped in `DatasetGenerationError: An error occurred while generating the dataset`:
```python
load_dataset("conll", data_files=path, column_names=... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8534 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8534/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8534/comments | https://api.github.com/repos/huggingface/datasets/issues/8534/events | https://github.com/huggingface/datasets/pull/8534 | 5,290,762,331 | PR_kwDODunzps8AAAABBfMvvw | 8,534 | Validate on_bad_files in the parquet and vortex configs | {
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} | ### The bug
`ParquetConfig` and `VortexConfig` declare `on_bad_files: Literal["error", "warn", "skip"]` but never check it, and the code branches as `if "error" / elif "warn" / else`. Anything unrecognised lands in the permissive `else`.
So a typo in the *strict* value silently selects the *least* strict behaviour:
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8533 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8533/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8533/comments | https://api.github.com/repos/huggingface/datasets/issues/8533/events | https://github.com/huggingface/datasets/pull/8533 | 5,290,752,087 | PR_kwDODunzps8AAAABBfMSPQ | 8,533 | Validate sample_by in TextConfig | {
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"followers_url": "https://api.github.com/users/LeSingh1/... | [] | open | false | [] | null | 0 | 2026-08-30T06:38:59 | 2026-08-30T06:38:59 | null | null | CONTRIBUTOR | [] | null | null | false | {
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} | ### The bug
`Text._generate_tables` branches on `sample_by` as `if "line" / elif "paragraph" / elif "document"` with no fallback, and `TextConfig` never validates the value. An unrecognised one therefore produces no rows at all, and the load fails much later on schema inference:
```python
load_dataset("text", data_fi... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8532 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8532/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8532/comments | https://api.github.com/repos/huggingface/datasets/issues/8532/events | https://github.com/huggingface/datasets/pull/8532 | 5,290,731,586 | PR_kwDODunzps8AAAABBfLVqA | 8,532 | Do not fail all of test_file_utils when zstandard is not installed | {
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"followers_url": "https://api.github.com/users/LeSingh1/... | [] | open | false | [] | null | 0 | 2026-08-30T06:32:43 | 2026-08-30T06:32:43 | null | null | CONTRIBUTOR | [] | null | null | false | {
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} | ### The problem
`tests/test_file_utils.py` imports `zstandard` at module level, so without it installed the entire file fails to collect:
```
ERROR tests/test_file_utils.py
E ModuleNotFoundError: No module named 'zstandard'
!!!!! Interrupted: 1 error during collection !!!!!
```
136 tests are lost, almost none of w... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8531 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8531/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8531/comments | https://api.github.com/repos/huggingface/datasets/issues/8531/events | https://github.com/huggingface/datasets/pull/8531 | 5,290,720,591 | PR_kwDODunzps8AAAABBfK2kQ | 8,531 | Split the torch assertions out of test_dataset_to_iterable_dataset | {
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} | ### The problem
`test_dataset_to_iterable_dataset` fails when torch is not installed:
```
FAILED tests/test_arrow_dataset.py::test_dataset_to_iterable_dataset
E ValueError: PyTorch needs to be installed to be able to return PyTorch tensors.
```
torch is an optional dependency, so running the suite without it is a ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8530 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8530/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8530/comments | https://api.github.com/repos/huggingface/datasets/issues/8530/events | https://github.com/huggingface/datasets/pull/8530 | 5,290,711,994 | PR_kwDODunzps8AAAABBfKesQ | 8,530 | Skip test_interleave_dataset_with_sharding when torch is not installed | {
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} | ### The problem
`test_interleave_dataset_with_sharding` imports `torch.utils.data` and calls `.with_format("torch")`, but it is the only torch-using test in `tests/test_iterable_dataset.py` without `@require_torch`. Without torch installed it fails rather than skipping:
```
FAILED tests/test_iterable_dataset.py::test... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8529 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8529/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8529/comments | https://api.github.com/repos/huggingface/datasets/issues/8529/events | https://github.com/huggingface/datasets/pull/8529 | 5,290,688,014 | PR_kwDODunzps8AAAABBfJZAw | 8,529 | Reject a repeated column name in Dataset.remove_columns | {
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"followers_url": "https://api.github.com/users/LeSingh1/... | [] | open | false | [] | null | 0 | 2026-08-30T06:19:24 | 2026-08-30T06:20:32 | null | null | CONTRIBUTOR | [] | null | null | false | {
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} | ### The bug
`Dataset.remove_columns` does not deduplicate its argument, so a repeated name deletes the same feature twice:
```python
d = Dataset.from_dict({"a": [1, 2], "b": ["x", "y"]})
d.remove_columns(["a", "a"])
# KeyError: 'a'
```
The second `del dataset._info.features[column_name]` raises a bare `KeyError`, wi... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8528 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8528/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8528/comments | https://api.github.com/repos/huggingface/datasets/issues/8528/events | https://github.com/huggingface/datasets/pull/8528 | 5,290,672,651 | PR_kwDODunzps8AAAABBfIs3g | 8,528 | Allow swapping column names in IterableDataset.rename_columns | {
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} | ### The bug
Two problems in `_rename_columns_fn`, both in the clash check.
**Swapping two names is refused.** The check rejects any new name that is already a column, without noticing that the same mapping renames that column away:
```python
it = Dataset.from_dict({"a": [1, 2], "b": ["x", "y"], "c": [1.0, 2.0]}).to_... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8527 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8527/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8527/comments | https://api.github.com/repos/huggingface/datasets/issues/8527/events | https://github.com/huggingface/datasets/pull/8527 | 5,290,663,552 | PR_kwDODunzps8AAAABBfIR9Q | 8,527 | Reject an unknown input_columns in IterableDataset.map and filter | {
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"followers_url": "https://api.github.com/users/LeSingh1/... | [] | open | false | [] | null | 0 | 2026-08-30T06:11:54 | 2026-08-30T06:11:54 | null | null | CONTRIBUTOR | [] | null | null | false | {
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} | ### The bug
`input_columns` naming a column that does not exist is not checked on `IterableDataset`. The name is only looked up while iterating, so the call that is actually wrong succeeds and the failure arrives later, detached from its cause:
```python
it = Dataset.from_dict({"a": [1, 2], "b": ["x", "y"]}).to_itera... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8526 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8526/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8526/comments | https://api.github.com/repos/huggingface/datasets/issues/8526/events | https://github.com/huggingface/datasets/pull/8526 | 5,290,643,403 | PR_kwDODunzps8AAAABBfHWtg | 8,526 | Reject a negative n in IterableDataset.skip and take | {
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"followers_url": "https://api.github.com/users/LeSingh1/... | [] | open | false | [] | null | 0 | 2026-08-30T06:05:59 | 2026-08-30T06:05:59 | null | null | CONTRIBUTOR | [] | null | null | false | {
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} | ### The bug
`IterableDataset.skip` and `take` silently treat a negative `n` as zero:
```python
it = Dataset.from_dict({"a": [1, 2, 3, 4]}).to_iterable_dataset()
list(it.skip(-1)) # [{'a': 1}, {'a': 2}, {'a': 3}, {'a': 4}] -- the whole dataset
list(it.take(-1)) # [] -- noth... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8525 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8525/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8525/comments | https://api.github.com/repos/huggingface/datasets/issues/8525/events | https://github.com/huggingface/datasets/pull/8525 | 5,290,637,056 | PR_kwDODunzps8AAAABBfHDsg | 8,525 | Reject an unknown column when removing columns from an IterableDataset | {
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} | ### The bug
Removing a column that does not exist is silently ignored on `IterableDataset`, through either entry point:
```python
it = Dataset.from_dict({"a": [1, 2], "b": ["x", "y"]}).to_iterable_dataset()._resolve_features()
list(it.remove_columns(["nope"])) # [{'a': 1, 'b': 'x'}, ...] -- nothin... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8524 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8524/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8524/comments | https://api.github.com/repos/huggingface/datasets/issues/8524/events | https://github.com/huggingface/datasets/pull/8524 | 5,281,038,637 | PR_kwDODunzps8AAAABBX0Ihg | 8,524 | Return None for a null row of a dynamic-shape ArrayXD column | {
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} | `ArrayExtensionArray.to_pylist` builds the python values from `to_numpy`, where a null row is a bare `np.nan`. That is fine for the numpy format but not for the python one, and the guard added in #8363 only covered a fixed first dimension.
So for a column like `Array2D(dtype="int32", shape=(None, 2))` with a `None` ro... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8523 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8523/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8523/comments | https://api.github.com/repos/huggingface/datasets/issues/8523/events | https://github.com/huggingface/datasets/pull/8523 | 5,278,633,843 | PR_kwDODunzps8AAAABBV5xkw | 8,523 | disallow hdf5 external links | {
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https://api.github.com/repos/huggingface/datasets/issues/8522 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8522/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8522/comments | https://api.github.com/repos/huggingface/datasets/issues/8522/events | https://github.com/huggingface/datasets/issues/8522 | 5,277,366,650 | I_kwDODunzps8AAAABOo45eg | 8,522 | Docs proposal: relabel left/right segmentation classes during horizontal flips | {
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Would you be open to a self-contained documentation recipe showing how to relabel directional semantic classes during a horizontal flip? It could be a separate section in [`docs/source/semantic_segmentation.mdx`](https://github.com/huggingface/datasets/blob/main/docs/source/semantic_segmentation.md... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8521 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8521/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8521/comments | https://api.github.com/repos/huggingface/datasets/issues/8521/events | https://github.com/huggingface/datasets/pull/8521 | 5,274,959,271 | PR_kwDODunzps8AAAABBS9mvQ | 8,521 | fix(json): defensively recover invalid Arrow tables in JSON loader (#5531) | {
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"merged_at": "2026-10-15T12:36... | ## What does this PR do?
Adds defensive validation and recovery for malformed nested Arrow arrays returned by pyarrow.json.read_json().
When a batch produces invalid nested offsets, the JSON loader reparses only that batch row by row with pa.Table.from_pylist(), concatenates the rows while preserving late-arrivin... | {
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https://api.github.com/repos/huggingface/datasets/issues/8520 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8520/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8520/comments | https://api.github.com/repos/huggingface/datasets/issues/8520/events | https://github.com/huggingface/datasets/pull/8520 | 5,262,461,566 | PR_kwDODunzps8AAAABBJERrg | 8,520 | Take the image dtype from Arrow storage in Image.cast_storage | {
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} | Closes #8511.
`storage.to_pylist()` materializes the values as plain Python `int`s, which drops the Arrow value type. `np.array(arr)` on nested lists of Python ints then defaults to `int64`, and `encode_np_array` warns about a downcast to `uint8` that the storage never needed:
```python
arr = np.random.randint(0, 256... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8519 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8519/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8519/comments | https://api.github.com/repos/huggingface/datasets/issues/8519/events | https://github.com/huggingface/datasets/pull/8519 | 5,262,217,352 | PR_kwDODunzps8AAAABBI4BwQ | 8,519 | Return numpy scalars from numpy formatting and keep duration dtypes | {
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} | Closes #8500.
Two problems in `NumpyFormatter`, both falling out of numpy's type hierarchy.
**Scalars.** `np.bool_` and `np.datetime64` are not `np.number`, so `_tensorize`
did not early-return them and `_recursive_tensorize` ran them through
`__array__` first. Row access handed back 0-d `ndarray`s, which are unhasha... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8518 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8518/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8518/comments | https://api.github.com/repos/huggingface/datasets/issues/8518/events | https://github.com/huggingface/datasets/pull/8518 | 5,262,172,463 | PR_kwDODunzps8AAAABBI1yLw | 8,518 | Validate features when a cast only changes schema metadata | {
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} | Closes #8494.
`pa.Schema.__eq__` ignores metadata, so casting int64 storage to a `ClassLabel`
leaves the arrow schema equal and `table_cast` took the
`replace_schema_metadata` branch. That skips `cast_array_to_feature`, and with
it the range check in `ClassLabel.cast_storage`, so an out-of-range label index
was kept a... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8517 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8517/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8517/comments | https://api.github.com/repos/huggingface/datasets/issues/8517/events | https://github.com/huggingface/datasets/pull/8517 | 5,253,461,612 | PR_kwDODunzps8AAAABBB5iuA | 8,517 | fix(tsfile): version-aware guard for the optional Apache TsFile SDK | {
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} | > **Status (2026-10-07):** draft. This description predates #8502, which raised the requirement on `main` to `pyarrow>=24.0.0`, and is therefore out of date, in particular the table and Q1. See my comment of 2026-10-07 below for the current status.
## Summary
- Raise a **version-aware** `ImportError` when the Apache ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8516 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8516/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8516/comments | https://api.github.com/repos/huggingface/datasets/issues/8516/events | https://github.com/huggingface/datasets/pull/8516 | 5,251,917,998 | PR_kwDODunzps8AAAABBAtkOA | 8,516 | fix(datasets): preserve dtype in Image.cast_storage | {
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} | Fixes spurious dtype downcast warning in Image.cast_storage.
Bug: Image.cast_storage at image.py:266 warns about downcasting int64 to uint8 even though storage is already uint8. When storage is a nested pa.list type like list<item: list<item: list<item: uint8>>>, to_pylist returns Python ints and np.array(arr) without... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8515 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8515/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8515/comments | https://api.github.com/repos/huggingface/datasets/issues/8515/events | https://github.com/huggingface/datasets/pull/8515 | 5,250,046,973 | PR_kwDODunzps8AAAABA_M4eQ | 8,515 | Fix offline cache lookup with custom data files | {
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} | ## Summary
Fixes #7551.
Datasets loaded from the Hub with a `data_files` override could not be reloaded in offline mode.
During online loading, relative data file patterns are resolved to revision-pinned Hub URLs before computing the cache configuration ID. During offline lookup, only the original unresolved p... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8514 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8514/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8514/comments | https://api.github.com/repos/huggingface/datasets/issues/8514/events | https://github.com/huggingface/datasets/pull/8514 | 5,239,382,339 | PR_kwDODunzps8AAAABA2t1tw | 8,514 | fix(tsfile): guard optional Apache TsFile SDK import | {
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} | ## Summary
- Guard every `tsfile` SDK import behind `_require_tsfile()` so missing extras raise `ImportError: ... pip install 'datasets[tsfile]'` instead of a bare `ModuleNotFoundError`.
- Add a `tsfile` extra (`tsfile>=2.3.0`), install it in the `tests` extra on Python 3.14 (where it does not conflict with `pyarrow>... | {
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https://api.github.com/repos/huggingface/datasets/issues/8513 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8513/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8513/comments | https://api.github.com/repos/huggingface/datasets/issues/8513/events | https://github.com/huggingface/datasets/pull/8513 | 5,238,422,010 | PR_kwDODunzps8AAAABA18kwA | 8,513 | Fix typos in docstrings, comments and an error message | {
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} | Typo fixes only — no identifiers renamed, no behavior change:
- `filesystems/compression.py`: "compresssed" -> "compressed"
- `fingerprint.py`: error message "Maximum lenth is" -> "Maximum length is"
- `dataset_dict.py` (x2): "contain None valies" -> "values"
- `iterable_dataset.py` (x2): "one thousand simulatenous ca... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8512 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8512/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8512/comments | https://api.github.com/repos/huggingface/datasets/issues/8512/events | https://github.com/huggingface/datasets/pull/8512 | 5,235,101,324 | PR_kwDODunzps8AAAABAzRvgg | 8,512 | Fix dead PDF processing link in README | {
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"merged_at": "2026-09-09T14:28... | ## What
Fixed README.md link to PDF processing docs that pointed to a non-existent page (docs/datasets/pdf_process); redirected to docs/datasets/document_dataset, which contains the actual PDF processing content.
## Why
A small, objectively-verifiable improvement (broken-link) found during a
daily open-source maintena... | {
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Casting a nested-list column whose Arrow value type is already `uint8` to `Image()` emits a spurious warning:
```
UserWarning: Downcasting array dtype int64 to uint8 to be compatible with 'Pillow'
```
No downcast is actually needed. The Arrow storage type is `list<item: list<item: list<item: uin... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8509 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8509/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8509/comments | https://api.github.com/repos/huggingface/datasets/issues/8509/events | https://github.com/huggingface/datasets/pull/8509 | 5,231,727,963 | PR_kwDODunzps8AAAABAwk97w | 8,509 | Add return_file_name parameter to JSON dataset loader (Fixes #5806) | {
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} | ## Summary
This PR adds a `return_file_name` parameter to the JSON dataset loader. When enabled, the dataset will include a `file_name` column containing the source file name for each row.
## Changes
1. **Added `return_file_name` parameter to `JsonConfig`** - A new boolean parameter that defaults to `False` for back... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8508 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8508/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8508/comments | https://api.github.com/repos/huggingface/datasets/issues/8508/events | https://github.com/huggingface/datasets/pull/8508 | 5,228,516,515 | PR_kwDODunzps8AAAABAuH1Tg | 8,508 | Validate ArrayXD dimensions during Arrow conversion | {
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} | Closes #8507
`ArrayXD` storage uses variable-length Arrow lists for compatibility, but reading the array reshapes values to the declared feature shape. This meant malformed nested input could be accepted and later returned with different row boundaries.
This PR:
- checks every fixed `ArrayXD` dimension after c... | null | {
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`Array2D` and the other `ArrayXD` features accept nested input whose dimensions do not match the declared shape when the total number of values happens to match.
For example, data shaped like `(2, 2)` can be created from rows of lengths `3` and `1`. When the value is read back, the rows are silen... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8505 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8505/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8505/comments | https://api.github.com/repos/huggingface/datasets/issues/8505/events | https://github.com/huggingface/datasets/issues/8505 | 5,226,790,433 | I_kwDODunzps8AAAABN4p-IQ | 8,505 | Request to correct language name for ISO code 'blk' from 'Pa'o Karen' to 'Pa'O' | {
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Dear Hugging Face Team,
I am writing to request a correction regarding the language display name associated with the ISO 639-3 code `blk` on the platform.
Currently, it is displayed as **"Pa'O Karen"**. However, as a native speaker and local member of the Pa'O community, this terminology is inco... | null | {
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} | Fixes #8500.\n\nTreat NumPy scalar types uniformly in NumpyFormatter so boolean, datetime, and duration values remain scalar values during row formatting. Also avoid applying the integer default dtype to timedelta arrays, preserving duration units for batch and column formatting.\n\nAdded regression coverage for boolea... | null | {
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} | Fixes #8500\n\nSummary:\n- Preserve NumPy boolean, datetime, and timedelta scalars during formatting.\n- Avoid coercing timedelta arrays to int64.\n- Add focused formatter coverage.\n\nTests:\n- Python syntax compilation passed.\n- Pytest could not start because the local datasets package is not installed. | null | {
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performance. Vortex files are self contained the integration logic
largely resembles parquet.
pyarrow minimum version has been raised in this pr to include fix for
Table.nbytes error with view types https://github.com/apache/arrow/issues/47279.
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https://api.github.com/repos/huggingface/datasets/issues/8501 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8501/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8501/comments | https://api.github.com/repos/huggingface/datasets/issues/8501/events | https://github.com/huggingface/datasets/pull/8501 | 5,198,172,545 | PR_kwDODunzps8AAAABAWX4Qw | 8,501 | Format bool and temporal values as numpy scalars and keep the duration dtype in numpy format | {
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} | Fixes #8500
`NumpyFormatter._tensorize` now early-returns `np.bool_`/`np.datetime64`/`np.timedelta64` scalars like other numpy scalars, `_recursive_tensorize` excludes all `np.generic` scalars from `__array__` conversion (previously it re-wrapped bool/datetime scalars into 0-d arrays), and the int64 default dtype only... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8500 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8500/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8500/comments | https://api.github.com/repos/huggingface/datasets/issues/8500/events | https://github.com/huggingface/datasets/issues/8500 | 5,198,170,352 | I_kwDODunzps8AAAABNdXI8A | 8,500 | with_format("numpy") returns bool/datetime values as 0-d unhashable arrays and casts duration columns to int64 | {
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With numpy formatting, row access returns `np.int64`/`np.float64`/`np.str_` scalars for most dtypes, but **bool and timestamp/date values come back as 0-dimensional `ndarray`s** (`array(True)`), which are unhashable and fail `isinstance(x, np.bool_)` checks. Separately, **batch/column access silen... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8499 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8499/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8499/comments | https://api.github.com/repos/huggingface/datasets/issues/8499/events | https://github.com/huggingface/datasets/issues/8499 | 5,192,173,564 | I_kwDODunzps8AAAABNXpH_A | 8,499 | TsFile format filter uses an inconsistent URL and is not available initially | {
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## Summary
There appear to be two related issues with the `TsFile` format filter on the Hugging Face Datasets page:
1. The URL parameter for `TsFile` is inconsistent with other formats.
2. `TsFile` is not initially shown in the format filter and only appears after visiting a TsFile-specific URL.
## 1. Inconsistent... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8497 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8497/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8497/comments | https://api.github.com/repos/huggingface/datasets/issues/8497/events | https://github.com/huggingface/datasets/pull/8497 | 5,189,857,731 | PR_kwDODunzps8AAAABAPp-7w | 8,497 | fix: bound Dataset.take range to prevent IndexError when n > len(dataset) | {
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} | ## Summary
Fixes #8483
Currently \Dataset.take(n)\ executes \self.select(range(n))\. When \
\ exceeds the dataset size \len(self)\, \
ange(n)\ attempts to index beyond the end of the table and raises an \IndexError\. Meanwhile, \IterableDataset.take(n)\ gracefully yields up to \
\ items.
## Changes
- In \src/datase... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8496 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8496/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8496/comments | https://api.github.com/repos/huggingface/datasets/issues/8496/events | https://github.com/huggingface/datasets/pull/8496 | 5,182,606,158 | PR_kwDODunzps8AAAABAJ1kuQ | 8,496 | Preserve storage options across URL hops | {
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"merged_at": "2026-09-10T13:32... | ## Summary
- return the accumulated storage options for every hop in chained fsspec URLs
- add a regression test covering protocol-specific options on both `zip` and `https` hops
## Problem
`_prepare_path_and_storage_options` builds `prepared_storage_options` while iterating over a multi-hop path, but returned the l... | {
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https://api.github.com/repos/huggingface/datasets/issues/8495 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8495/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8495/comments | https://api.github.com/repos/huggingface/datasets/issues/8495/events | https://github.com/huggingface/datasets/pull/8495 | 5,179,629,172 | PR_kwDODunzps8AAAABAHbjYw | 8,495 | Validate class labels when casting an integer column to ClassLabel | {
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} | `table_cast` took a metadata-only fast path when the arrow schema was unchanged, so casting int64 storage to `ClassLabel` never ran `ClassLabel.cast_storage` and out-of-range label indices were accepted silently. Route metadata-only changes through `cast_table_to_schema` too, so the range check runs like on the write p... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8494 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8494/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8494/comments | https://api.github.com/repos/huggingface/datasets/issues/8494/events | https://github.com/huggingface/datasets/issues/8494 | 5,179,628,125 | I_kwDODunzps8AAAABNLraXQ | 8,494 | cast_column to ClassLabel silently accepts out-of-range label indices | {
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`Dataset.cast_column` / `Dataset.cast` to a `ClassLabel` column silently keeps label indices that are out of range for the target number of classes. The corruption only shows up later — e.g. on the first `int2str` call — or silently trains on wrong labels:
```python
from datasets import Dataset, ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8493 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8493/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8493/comments | https://api.github.com/repos/huggingface/datasets/issues/8493/events | https://github.com/huggingface/datasets/pull/8493 | 5,175,749,969 | PR_kwDODunzps8AAAABAEV0fA | 8,493 | Don't mask the original error when finalizing the writer fails in Dataset.map | {
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} | ## Summary
Fixes #8491.
When `writer.finalize()` raises in `_map_single()`, the `except` block calls `finalize()` again on a writer whose stream is already closed. `finalize()` then hits `self.pa_writer is None and self.schema` and calls `_build_writer(self.schema)`, which raises `ValueError: I/O operation on closed ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8492 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8492/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8492/comments | https://api.github.com/repos/huggingface/datasets/issues/8492/events | https://github.com/huggingface/datasets/pull/8492 | 5,168,913,422 | PR_kwDODunzps7_7cuf | 8,492 | Let Dataset.take(n) return what it has when n > len(dataset) | {
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} | Fixes #8483
### Problem
`Dataset.take(n)` is `select(range(n))`, so asking for more elements than the dataset has raises from the out-of-range index — while the `IterableDataset` counterpart returns the elements it has:
```python
>>> ds = Dataset.from_dict({"a": [1, 2, 3]})
>>> ds.take(3)
Dataset({features: ['a'], n... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8491 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8491/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8491/comments | https://api.github.com/repos/huggingface/datasets/issues/8491/events | https://github.com/huggingface/datasets/issues/8491 | 5,168,815,070 | I_kwDODunzps8AAAABNBXb3g | 8,491 | `Dataset.map(num_proc=N)` worker crashes with `ValueError: I/O operation on closed file` when `finalize()` is interrupted | {
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We hit this while running Megatron-LM training through ms-swift, which uses `datasets` under the hood for preprocessing. Our preprocessing step calls `Dataset.map()` with a fairly aggressive `num_proc=512` on a ~25k-example JSONL file:
```bash
swift --dataset_num_proc 512 --dataset large.jsonl --... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8490 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8490/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8490/comments | https://api.github.com/repos/huggingface/datasets/issues/8490/events | https://github.com/huggingface/datasets/pull/8490 | 5,165,873,737 | PR_kwDODunzps7_yA7P | 8,490 | Fix archive path check allowing sibling-directory escapes | {
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"merged_at": "2026-08-31T09:38... | ## Bug
The `safemembers` path check that guards archive extraction (the CVE-2007-4559 mitigation, duplicated across the tar/zip/rar/7z extractors) uses a plain `startswith(base)`. That also matches **sibling directories whose name starts with the output directory's name**:
```py
target = resolved(os.path.join(base, p... | {
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https://api.github.com/repos/huggingface/datasets/issues/8489 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8489/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8489/comments | https://api.github.com/repos/huggingface/datasets/issues/8489/events | https://github.com/huggingface/datasets/pull/8489 | 5,163,718,955 | PR_kwDODunzps7_riae | 8,489 | Add integration test for loading renamed dataset repositories | {
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} | Fixes #4911.
Adds `TestLoadFromHub.test_load_dataset_after_repo_rename` to `tests/test_upstream_hub.py`:
1. pushes a small dataset to a temporary repo on hub-ci
2. renames the repo with `HfApi.move_repo` (the `/api/repos/move` endpoint suggested in the issue), with a sanity assertion that the repo now lives under the... | null | {
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} | Fixes #7089.
The Spark test module no longer imports PySpark during collection. Its configuration tests remain active without the optional dependency, while the eight tests that actually create Spark sessions use the existing `require_pyspark` decorator and local imports already used elsewhere in the test suite.
Vali... | null | {
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`test_move_script_doesnt_change_hash` now invokes both temporary scripts with `sys.executable` instead of relying on a `python` command being available on `PATH`. This keeps the subprocess interpreter aligned with the interpreter running pytest and fixes environments such as FreeBSD where only `python3` m... | null | {
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} | Fixes #8465
## Problem
`PandasArrayExtensionArray.take` coerces `fill_value` to the pandas dtype *before* checking whether any row is actually missing. When `allow_fill=True` with a mask that contains no missing indices, `take` still needs to return a proper pandas Series — but the coercion can blow up for values tha... | null | {
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## Problem
`Dataset.take(n)` raises `IndexError: index ... is out of bounds for axis 0 with size ...` when `n` exceeds the number of rows, while `IterableDataset.take(n)` returns everything available (list-slice semantics). The two dataset flavors should behave consistently.
## Change
Clamp the request ... | null | {
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### Problem
`int2str` validates the container it is given, but never the elements inside it. Three consequences, in decreasing order of severity:
```python
>>> cl = ClassLabel(names=["neg", "pos"])
>>> cl.int2str([1.7])
['pos'] # silently truncated by the int(v) used to inde... | null | {
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`Dataset.take(n)` raises when asked for more elements than the dataset has, while `IterableDataset.take(n)` returns the elements it has. Both are documented identically as "Create a new [...] with only the first `n` elements".
```python
>>> from datasets import Dataset
>>> ds = Dataset.from_dict(... | null | {
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} | Skipping exactly as many elements as the dataset has raises, but skipping *more* than that works and returns an empty dataset:
```python
>>> ds = Dataset.from_dict({"a": [1, 2, 3]})
>>> ds.skip(2)
Dataset({features: ['a'], num_rows: 1})
>>> ds.skip(3)
IndexError: Index 3 out of range for dataset of size 3.
>>> ds.skip... | null | {
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`ClassLabel.str2int` and `ClassLabel.int2str` both validate the *container* they're given, but never the elements inside it. Two of the resulting cases fail silently and return wrong labels rather than raising.
`str2int` accepts ints and hands them straight back, so a column of integer labels rou... | null | {
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} | ## What changed
I encountered an error when batching a dataset by a nullable column. Rows containing null values were not split into the expected groups, and grouping by an all-null Arrow column raised an `ArrowNotImplementedError`.
For example, batching this column:
```python
[None, None, "A", "A", None, "B"]
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https://api.github.com/repos/huggingface/datasets/issues/8477 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8477/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8477/comments | https://api.github.com/repos/huggingface/datasets/issues/8477/events | https://github.com/huggingface/datasets/pull/8477 | 5,143,737,519 | PR_kwDODunzps7-stG2 | 8,477 | Reject non-positive batch sizes in batch() | {
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} | ## Summary
- reject non-positive `batch_size` values in `Dataset.batch()` and `IterableDataset.batch()`
- raise before mapping or consuming an iterable source
- add focused regression tests for `0` and `-1`
Fixes #8472
## Related work
This includes the small `_check_batch_size` helper also proposed by @LeSingh1 in ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8476 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8476/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8476/comments | https://api.github.com/repos/huggingface/datasets/issues/8476/events | https://github.com/huggingface/datasets/pull/8476 | 5,137,360,424 | PR_kwDODunzps7-YDwB | 8,476 | Fix OverflowError in Dataset.select on in-range negative indices | {
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} | Fixes #8475.
### What this fixes
`Dataset.select` validates indices with `_check_valid_indices_value`, which implements Python-style negative indexing (it only rejects a negative index when `index + size < 0`), but `_select_with_indices_mapping` then converts the indices with `pa.array(indices, type=pa.uint64())`, wh... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8475 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8475/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8475/comments | https://api.github.com/repos/huggingface/datasets/issues/8475/events | https://github.com/huggingface/datasets/issues/8475 | 5,137,335,145 | I_kwDODunzps8AAAABMjWDaQ | 8,475 | `Dataset.select` raises a raw OverflowError on in-range negative indices that its own validation allows | {
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`Dataset.select` validates indices with [`_check_valid_indices_value`](https://github.com/huggingface/datasets/blob/836b82e0544cabf6474b25ade131b4d21e570373/src/datasets/arrow_dataset.py#L636-L638), which implements Python-style negative indexing: it only raises for a negative index when `index + ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8474 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8474/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8474/comments | https://api.github.com/repos/huggingface/datasets/issues/8474/events | https://github.com/huggingface/datasets/pull/8474 | 5,137,329,748 | PR_kwDODunzps7-X9tn | 8,474 | Fix negative percent split boundary anchoring to the start when it rounds to 0 | {
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} | Fixes #8473.
### What this fixes
With the default `closest` rounding, a negative percent split boundary whose absolute value rounds to 0 loses its sign, so "relative to the end" silently becomes "relative to the start":
```python
# on a 30-example split
train[-1%:] -> (0, 30) all 30 rows, while train[99%:] corre... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8473 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8473/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8473/comments | https://api.github.com/repos/huggingface/datasets/issues/8473/events | https://github.com/huggingface/datasets/issues/8473 | 5,137,305,743 | I_kwDODunzps8AAAABMjUQjw | 8,473 | Negative percent split boundary silently anchors to the start when it rounds to 0 (`train[-1%:]` returns the whole split) | {
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With the default `closest` rounding, a negative percent split boundary whose absolute value rounds to 0 loses its sign, so "relative to the end" silently becomes "relative to the start":
- `train[-1%:]` on a 30-example split returns **all 30 rows** instead of the last 1% (~0 rows, as `train[99%:]... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8472 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8472/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8472/comments | https://api.github.com/repos/huggingface/datasets/issues/8472/events | https://github.com/huggingface/datasets/issues/8472 | 5,128,543,479 | I_kwDODunzps8AAAABMa9c9w | 8,472 | batch(0) silently returns one batch with the whole dataset instead of raising | {
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`Dataset.batch()` and `IterableDataset.batch()` accept `batch_size=0` and negative sizes, and quietly return **one batch holding the whole dataset**. Asking for a zero-sized batch produces the largest possible batch, which is as close to the opposite of the request as the API can get.
### Steps o... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8471 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8471/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8471/comments | https://api.github.com/repos/huggingface/datasets/issues/8471/events | https://github.com/huggingface/datasets/pull/8471 | 5,128,533,318 | PR_kwDODunzps797k6o | 8,471 | Stop `Dataset.sort()` emitting a pyarrow FutureWarning | {
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} | ## The bug
Every `Dataset.sort()` call emits a pyarrow `FutureWarning` on pyarrow >= 25:
```
FutureWarning: Specifying null_placement in SortOptions is deprecated as of 25.0.0.
Specify null_placement per sort_key instead.
```
It comes from `Dataset.sort` itself, not from user code:
```python
indices = pc.sort_indic... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8470 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8470/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8470/comments | https://api.github.com/repos/huggingface/datasets/issues/8470/events | https://github.com/huggingface/datasets/pull/8470 | 5,128,425,500 | PR_kwDODunzps797OZ4 | 8,470 | Keep the dtype of an empty column in the numpy formatter | {
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} | Fixes #8469.
## The bug
Under `numpy` format, a column holding zero rows comes back as `float32` regardless of its declared dtype — while the same column keeps its dtype as soon as it holds one row, and `pandas`/`arrow` keep it either way.
```python
feats = Features({"a": Value("int64")})
ds = Dataset.from_dict({"a"... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8469 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8469/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8469/comments | https://api.github.com/repos/huggingface/datasets/issues/8469/events | https://github.com/huggingface/datasets/issues/8469 | 5,128,417,961 | I_kwDODunzps8AAAABMa1yqQ | 8,469 | Empty column loses its dtype under numpy format (always float32) | {
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Under `numpy` format, a column that holds zero rows comes back as `float32` no matter what dtype it was declared with. The same column keeps its dtype as soon as it holds a single row, and the `pandas` and `arrow` formatters keep it in both cases.
This is easy to hit in normal code: any `filter` ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8468 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8468/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8468/comments | https://api.github.com/repos/huggingface/datasets/issues/8468/events | https://github.com/huggingface/datasets/pull/8468 | 5,128,312,016 | PR_kwDODunzps7962H- | 8,468 | Implement `construct_from_string` on `PandasArrayExtensionDtype` | {
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} | Fixes #8467.
## The bug
`PandasArrayExtensionDtype` never implements `construct_from_string`, so it inherits the base `ExtensionDtype` version:
```python
@classmethod
def construct_from_string(cls, string):
assert isinstance(cls.name, str), (cls, type(cls.name))
```
`name` is an instance `@property` here, becau... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8467 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8467/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8467/comments | https://api.github.com/repos/huggingface/datasets/issues/8467/events | https://github.com/huggingface/datasets/issues/8467 | 5,128,306,077 | I_kwDODunzps8AAAABMau9nQ | 8,467 | PandasArrayExtensionDtype has no construct_from_string, so comparing the dtype to any string raises AssertionError | {
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`PandasArrayExtensionDtype` does not implement `construct_from_string`, so it inherits the base `ExtensionDtype` version, which opens with:
```python
@classmethod
def construct_from_string(cls, string):
assert isinstance(cls.name, str), (cls, type(cls.name))
```
`name` is an instance `@prope... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8466 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8466/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8466/comments | https://api.github.com/repos/huggingface/datasets/issues/8466/events | https://github.com/huggingface/datasets/pull/8466 | 5,128,026,958 | PR_kwDODunzps7957wa | 8,466 | Raise a clear error for a deeply nested mesh file | {
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## The bug
A GLB file carries its scene description as an embedded JSON chunk, and that JSON can be nested arbitrarily deeply. Parsing it exhausts the interpreter stack, so `Mesh.decode_example` propagates a bare
```
RecursionError: maximum recursion depth exceeded while decoding a JSON object from a un... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8465 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8465/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8465/comments | https://api.github.com/repos/huggingface/datasets/issues/8465/events | https://github.com/huggingface/datasets/issues/8465 | 5,127,966,298 | I_kwDODunzps8AAAABMaaOWg | 8,465 | PandasArrayExtensionArray.take coerces fill_value before checking whether anything is filled, breaking boolean masks on integer array columns | {
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`PandasArrayExtensionArray.take` coerces `fill_value` to the array's value type **before** checking whether any element will actually be filled:
https://github.com/huggingface/datasets/blob/main/src/datasets/features/features.py#L965-L972
```python
if allow_fill:
fill_value = (
self.... | null | {
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} | Fixes #8375.
## The bug
`PandasArrayExtensionDtype._metadata` was the plain string `"value_type"`. Pandas expects a **tuple of attribute names** and iterates over it in `ExtensionDtype.__eq__` and `ExtensionDtype.__hash__`:
```python
all(getattr(self, attr) == getattr(other, attr) for attr in self._metadata)
```
A ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8463 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8463/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8463/comments | https://api.github.com/repos/huggingface/datasets/issues/8463/events | https://github.com/huggingface/datasets/issues/8463 | 5,126,995,924 | I_kwDODunzps8AAAABMZe_1A | 8,463 | very bad quality images in most of them | {
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very bad quality images in most of them
### Steps to reproduce the bug
.
### Expected behavior
.
### Environment info
. | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8462 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8462/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8462/comments | https://api.github.com/repos/huggingface/datasets/issues/8462/events | https://github.com/huggingface/datasets/pull/8462 | 5,121,965,559 | PR_kwDODunzps79mZju | 8,462 | Fix info from data_dir/data_files or malformed yaml | {
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- ignore malformed split info in yaml
cc @anton-l | {
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https://api.github.com/repos/huggingface/datasets/issues/8461 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8461/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8461/comments | https://api.github.com/repos/huggingface/datasets/issues/8461/events | https://github.com/huggingface/datasets/pull/8461 | 5,121,551,071 | PR_kwDODunzps79lDrU | 8,461 | Add test for tokenizer stride with Dataset.map (issue #4769) | {
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} | ## Problem
When processing SQuAD v1.1 datasets with `max_seq_length=128` and `doc_stride=96` using transformers' QA pipeline, users encountered an assertion failure:
```
thread '<unnamed>' panicked at 'assertion failed: stride < max_len'
```
This prevented legitimate use of the stride parameter in question-answering p... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8460 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8460/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8460/comments | https://api.github.com/repos/huggingface/datasets/issues/8460/events | https://github.com/huggingface/datasets/pull/8460 | 5,117,338,188 | PR_kwDODunzps79XWqT | 8,460 | Fix Audio encoding for path rows with null arrays | {
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} | ## Summary
- treat a null `array` value as absent in `Audio.encode_example()`, so path-backed rows reach the existing path branch
- cover the null-array case in the existing `encode_example` and `cast_to_audio_features` parametrize lists
## Problem
Casting a struct column to `Audio()` fails when a row is path-backed... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8459 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8459/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8459/comments | https://api.github.com/repos/huggingface/datasets/issues/8459/events | https://github.com/huggingface/datasets/pull/8459 | 5,115,089,650 | PR_kwDODunzps79QNXm | 8,459 | Fix Dataset.to_json() truncating/corrupting non-millisecond temporal columns | {
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## Problem
`Dataset.to_json()` writes every timestamp/duration column through `pandas.DataFrame.to_json()`, which only supports a single global `date_unit` for the entire call (defaulting to milliseconds).
This ignores each column's actual Arrow unit (`s`/`ms`/`us`/`ns`), causing a `to_json()` → `f... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8458 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8458/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8458/comments | https://api.github.com/repos/huggingface/datasets/issues/8458/events | https://github.com/huggingface/datasets/issues/8458 | 5,110,353,136 | I_kwDODunzps8AAAABMJnM8A | 8,458 | Replace httpx with httpx2 | {
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... | open | false | [] | null | 3 | 2026-08-10T13:01:44 | 2026-08-16T15:56:33 | null | null | NONE | [] | null | null | null | null | ### Feature request
Replace the httpx library with the [httpx2](https://github.com/pydantic/httpx2) fork, maintained by Pydantic.
### Motivation
Httpx has not been released since December 2024, and has closed all public access to Issues / Discussions / PRs, this raises questions about the actual state of maintenance... | null | {
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} | ## What does this PR do?
Make `Dataset` and `IterableDataset` visible to static type checkers as compatible with PyTorch's dataset classes, so Pyright accepts both map-style and iterable datasets as `torch.utils.data.DataLoader` inputs, including `dataset.with_format(torch)`. This addresses the typing gap described in... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8456 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8456/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8456/comments | https://api.github.com/repos/huggingface/datasets/issues/8456/events | https://github.com/huggingface/datasets/pull/8456 | 5,103,866,382 | PR_kwDODunzps78sbms | 8,456 | Fix Dataset.map(batched=True, drop_last_batch=True) returning unchanged input when dataset is smaller than batch_size | {
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} | Fixes #8386
## Bug
When `drop_last_batch=True` and the dataset has fewer rows than `batch_size`, `Dataset.map(batched=True, ...)` was returning the **input dataset unchanged** instead of an empty dataset. Every batch is incomplete in this situation, so the mapped function is never invoked and `update_data` stays fals... | {
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https://api.github.com/repos/huggingface/datasets/issues/8455 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8455/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8455/comments | https://api.github.com/repos/huggingface/datasets/issues/8455/events | https://github.com/huggingface/datasets/pull/8455 | 5,101,882,207 | PR_kwDODunzps78mb3T | 8,455 | close input stream in _in_memory_arrow_table_from_file to prevent file descriptor leaks | {
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} | In `src/datasets/table.py`, `_in_memory_arrow_table_from_file` opens a `pa.input_stream(filename)` without a `with` context manager block.
When exceptions occur during stream parsing or when exception tracebacks retain frame variables in memory (e.g., in logging handlers or data loader error queues), local `in_memory... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8454 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8454/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8454/comments | https://api.github.com/repos/huggingface/datasets/issues/8454/events | https://github.com/huggingface/datasets/pull/8454 | 5,101,287,981 | PR_kwDODunzps78kqeD | 8,454 | Coerce ClassLabel.names to plain str to fix invalid YAML in README.md | {
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} | Coerce ClassLabel.names to plain str to fix invalid YAML in README.md
Fixes #6919
## Problem
`push_to_hub` can fail with:
```
ValueError: Invalid metadata in README.md.
- Invalid YAML in README.md: unknown tag !<tag:yaml.org,2002:python/tuple> (50:11)
```
This happens whenever a `ClassLabel`'s `names` list contain... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8453 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8453/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8453/comments | https://api.github.com/repos/huggingface/datasets/issues/8453/events | https://github.com/huggingface/datasets/pull/8453 | 5,100,509,939 | PR_kwDODunzps78iZ8Z | 8,453 | Reject features with different columns in IterableDataset.cast | {
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} | `IterableDataset.cast()` assigns the given features directly:
```python
features = _fix_for_backward_compatible_features(features)
info = self._info.copy()
info.features = features
```
There is no check that the columns match the dataset's, which `Dataset.cast()` does perform. The worst case is an **extra** column: i... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8452 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8452/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8452/comments | https://api.github.com/repos/huggingface/datasets/issues/8452/events | https://github.com/huggingface/datasets/pull/8452 | 5,100,498,434 | PR_kwDODunzps78iXys | 8,452 | Let a dataset with an Audio column be flattened | {
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} | `Dataset.flatten()` fails on any dataset that holds a decodable `Audio` column:
```python
from datasets import Dataset, Features, Audio, Value
features = Features({"audio": Audio(), "text": Value("string")})
ds = Dataset.from_dict({"audio": [None], "text": ["a"]}, features=features)
ds.flatten()
```
```
ValueError: ... | null | {
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