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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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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_8523). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
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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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} | ## 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... | null | {
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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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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_8520). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2026-08-26T23:57:46 | 2026-08-28T19:21:36 | null | null | NONE | [] | null | null | false | {
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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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] | 2026-08-26T23:10:14 | 2026-08-29T01:00:38 | null | null | NONE | [] | null | null | false | {
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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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} | ## Summary
- Raise a **version-aware** `ImportError` when the Apache TsFile SDK is missing: point at `pip install 'datasets[tsfile]'` only on Python 3.14+, and explain the pyarrow conflict on 3.10–3.13.
- Declare optional extra `tsfile>=2.3.0; python_version >= '3.14'` (mirrored in test/dev extras) and install it in t... | 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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"Done, fixed in c80a579: widened the check to also handle large_list and fixed_size_list."
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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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"Note for the record, since this branch is closed but still linked from #8499.\n\nTwo things in it did not survive further checking:\n\n1. The commit message on d11450c says the unguarded SDK import is \"also why no\n`format:tsfile` facet is derived on the Hub\". That is wrong. `tsfile` is not a registered\nvalue i... | 2026-08-24T20:58:47 | 2026-08-26T04:50:52 | 2026-08-24T21:06:46 | null | NONE | [] | null | null | false | {
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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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} | ## 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... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8511 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8511/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8511/comments | https://api.github.com/repos/huggingface/datasets/issues/8511/events | https://github.com/huggingface/datasets/issues/8511 | 5,233,130,028 | I_kwDODunzps8AAAABN-s6LA | 8,511 | `Image.cast_storage` warns about downcasting int64 to uint8 for storage that is already uint8 | {
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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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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_8508). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
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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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"#self-assign"
] | 2026-08-23T18:42:56 | 2026-08-23T18:43:58 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
`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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https://api.github.com/repos/huggingface/datasets/issues/8502 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8502/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8502/comments | https://api.github.com/repos/huggingface/datasets/issues/8502/events | https://github.com/huggingface/datasets/pull/8502 | 5,216,085,164 | PR_kwDODunzps8AAAABAkvL1g | 8,502 | Add support for datasets backed by vortex file format | {
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"@lhoestq would be great if you had some time to take a look",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_8502). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"Thanks for the review!... | 2026-08-21T16:23:30 | 2026-08-27T17:02:22 | 2026-08-26T12:48:04 | null | CONTRIBUTOR | [] | null | null | false | {
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"merged_at": "2026-08-26T12:48... | Vortex provides fast random access and state of the art analytical
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.
As req... | {
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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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"# `tsfile` facet — neither URL names a format\n\nFindings only; no request for action. Figures carry their date. Retracted claims are kept.\n\n`?format=tsfile` and `?format=format:tsfile` are not two spellings of the same filter. They are not two routes to a `format:` facet either: `tsfile` is not in the Hub forma... | 2026-08-19T11:35:39 | 2026-08-27T09:15:34 | null | null | NONE | [] | null | null | null | null |
## 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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} | ## 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... | null | {
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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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"This could not fix https://github.com/huggingface/datasets/issues/8491. The `InterruptedError` raised from `file.close()` does not actually need to be processed on the Linux platform as I mentioned in the issue.",
"Yep, you're right: this only fixed the masking, the worker still died on the `InterruptedError`.\n... | 2026-08-17T21:50:50 | 2026-08-18T13:55:59 | null | null | CONTRIBUTOR | [] | null | null | false | {
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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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"Reference: \n\n1. https://github.com/boostorg/beast/issues/1445\n2. `man 2 close`:\n```\n Dealing with error returns from close()\n A careful programmer will check the return value of close(), since it is quite possible that errors on a previous write(2) operation are reported only on the final close() that re... | 2026-08-17T06:05:58 | 2026-08-28T20:50:12 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
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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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_8490). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
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} | ## 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... | null | {
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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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https://api.github.com/repos/huggingface/datasets/issues/8488 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8488/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8488/comments | https://api.github.com/repos/huggingface/datasets/issues/8488/events | https://github.com/huggingface/datasets/pull/8488 | 5,162,073,092 | PR_kwDODunzps7_mowk | 8,488 | Skip Spark tests when PySpark is unavailable | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_8488). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2026-08-16T00:58:13 | 2026-08-28T13:48:51 | null | null | NONE | [] | null | null | false | {
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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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https://api.github.com/repos/huggingface/datasets/issues/8487 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8487/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8487/comments | https://api.github.com/repos/huggingface/datasets/issues/8487/events | https://github.com/huggingface/datasets/pull/8487 | 5,162,010,864 | PR_kwDODunzps7_mc-m | 8,487 | Use the active Python interpreter in fingerprint test | {
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} | Fixes #7090.
`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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https://api.github.com/repos/huggingface/datasets/issues/8485 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8485/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8485/comments | https://api.github.com/repos/huggingface/datasets/issues/8485/events | https://github.com/huggingface/datasets/pull/8485 | 5,161,733,278 | PR_kwDODunzps7_loOj | 8,485 | Fix Dataset.take raising IndexError when n exceeds dataset length | {
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"cool ! could you also include a fix for https://github.com/huggingface/datasets/pull/8482 maybe ?",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_8485). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the l... | 2026-08-15T23:08:28 | 2026-08-28T13:46:43 | null | null | NONE | [] | null | null | true | {
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} | Fixes #8483
## 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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} | Partially fixes #8481
### 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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https://api.github.com/repos/huggingface/datasets/issues/8483 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8483/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8483/comments | https://api.github.com/repos/huggingface/datasets/issues/8483/events | https://github.com/huggingface/datasets/issues/8483 | 5,160,294,983 | I_kwDODunzps8AAAABM5PaRw | 8,483 | Dataset.take(n) raises IndexError when n > len(dataset), but IterableDataset.take(n) returns what it has | {
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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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"Thanks for weighing in, but one correction so the report stays accurate: `int2str` does **not** return `None` for an unknown class id. It raises, both for a bare value and inside a list — that path is already covered by the `0 <= v < num_classes` check:\n\n```python\n>>> cl = ClassLabel(names=[\"neg\", \"pos\"])\n... | 2026-08-15T08:43:11 | 2026-08-17T06:13:32 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
`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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"🎉 Awesome"
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