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} | `Audio.encode_example` imports `torch` and `torchcodec.encoders.AudioEncoder` on its first line, before looking at the value. The encoder is only used for two inputs (an `{"array": ..., "sampling_rate": ...}` dict and a local `.pcm` file), but the import failure is raised for every input, including a plain path or byte... | null | {
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🤖 Generated with [Claude Code](https://claude.com/claude-code) | {
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} | `Dataset.from_sql(selectable, engine)` and `Dataset.from_sql(selectable, connection)` fail with `AttributeError` before executing the query. `SqlConfig.create_config_id()` treats every connection as a URI string when compiling a SQLAlchemy Selectable, although the public API already accepts Engine and Connection object... | null | {
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} | `Nifti.encode_example()` returns `{"path": None, "bytes": None}` for an in-memory `nibabel.Nifti1Image`, including images reconstructed with `Nifti1Image.from_bytes()`. These objects have a `file_map`, but its image holder has no filename. The resulting representation cannot be decoded or passed into `Dataset.from_dict... | null | {
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} | `Dataset.to_csv(..., encoding="utf-16")` currently writes UTF-8 bytes. Reading the result with the requested encoding fails; requesting Latin-1 produces mojibake. The writer forwards arguments to pandas, but pandas returns a string when `path_or_buf=None`, and the writer then unconditionally encodes that string as UTF-... | null | {
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} | Flattening features can silently overwrite an existing dotted column name. For example, flattening `{"a": {"b": Value("int32")}, "a.b": Value("string")}` loses one feature definition; `Dataset.flatten()` returns two Arrow columns named `a.b`, and dictionary export drops one column's values.
Reject generated column nam... | null | {
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} | Filtering a table-formatted `IterableDataset` with `input_columns` currently passes the selected column directly to the mask wrapper. The wrapper then returns a dictionary instead of the Arrow, pandas, or polars table expected by the iteration path, so a synchronous filter that works with the default format raises an e... | null | {
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Always close the PyArrow Parquet writer after export, including failures during batch lookup, writing, or metadata persistence. Cleanup runs before the outer file handle closes. This is separate from builder/ArrowWriter finalization in #8558.
Verification on Python 3.12.13 / PyArrow 25.0.1:
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This is distinct from #8558, which changes builder/ArrowWriter finali... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8742 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8742/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8742/comments | https://api.github.com/repos/huggingface/datasets/issues/8742/events | https://github.com/huggingface/datasets/pull/8742 | 5,714,520,586 | PR_kwDODunzps8AAAABGvJXpg | 8,742 | Fix loading parquet files with empty row groups | {
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} | Fixes #8740.
The parquet builder sized its batches on the first row group, `parquet_fragment.row_groups[0].num_rows`. When that row group is empty the batch size is 0 and pyarrow raises `ArrowInvalid: BatchSize must be greater than 0`. pandas writes an empty DataFrame as one row group with 0 rows, so one empty shard... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8741 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8741/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8741/comments | https://api.github.com/repos/huggingface/datasets/issues/8741/events | https://github.com/huggingface/datasets/pull/8741 | 5,714,487,186 | PR_kwDODunzps8AAAABGvHnNw | 8,741 | Fix origin metadata alignment after filtering data files | {
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} | ## Summary
Fixes #8618. Apply the same file-index selection to the files and their origin metadata. This prevents stale or incorrectly associated source metadata from entering the dataset cache fingerprint after filtering.
Existing extension, compressed-extension, filename, union-of-filters, and no-filter semantics a... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8740 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8740/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8740/comments | https://api.github.com/repos/huggingface/datasets/issues/8740/events | https://github.com/huggingface/datasets/issues/8740 | 5,714,356,253 | I_kwDODunzps8AAAABVJooHQ | 8,740 | Parquet file with an empty row group fails to load: `ArrowInvalid: BatchSize must be greater than 0` | {
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If a parquet file's first row group has 0 rows, the parquet builder can't read it. pandas writes an empty DataFrame exactly like that (`df.iloc[0:0].to_parquet(...)` gives one row group with 0 rows), so a single empty shard in a folder of otherwise normal files breaks `load_dataset` for the whole ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8739 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8739/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8739/comments | https://api.github.com/repos/huggingface/datasets/issues/8739/events | https://github.com/huggingface/datasets/pull/8739 | 5,713,455,988 | PR_kwDODunzps8AAAABGuRv5Q | 8,739 | harbor: fix paths on windows | {
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https://api.github.com/repos/huggingface/datasets/issues/8738 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8738/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8738/comments | https://api.github.com/repos/huggingface/datasets/issues/8738/events | https://github.com/huggingface/datasets/pull/8738 | 5,701,038,674 | PR_kwDODunzps8AAAABGkZb4A | 8,738 | Fix JSON loader for utf-16 files that span multiple chunks | {
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} | The JSON loader reads JSON Lines files in `chunksize` blocks and completes each block with a binary `readline()`. That call stops at the first `0x0a` byte. In UTF-16 a newline is two bytes (`0a 00`), so any utf-16 file larger than one chunk (10MB by default) failed with:
```
UnicodeDecodeError: 'utf-16-le' codec can't... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8737 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8737/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8737/comments | https://api.github.com/repos/huggingface/datasets/issues/8737/events | https://github.com/huggingface/datasets/pull/8737 | 5,695,912,955 | PR_kwDODunzps8AAAABGgbeBw | 8,737 | Decode remote NIfTI files through the bytes path | {
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Read remote content into the existing bytes decoder so plain and gzipped files use the same handling as embedded ... | {
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} | `BioSequence` and `BioStructure` reopen the source path even when a row already contains bytes. This makes `save_to_disk()` fail after the source file is moved, and can overwrite embedded content if the source has changed. Path-only rows also lose their directory or URL when file embedding is disabled.
Only read sel... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8735 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8735/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8735/comments | https://api.github.com/repos/huggingface/datasets/issues/8735/events | https://github.com/huggingface/datasets/pull/8735 | 5,695,889,400 | PR_kwDODunzps8AAAABGgaVhg | 8,735 | Fix feature parsing when YAML keys are reordered | {
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} | Sorting the keys in a dataset card's YAML puts `length` before `list`. The feature parser treats the first key as the feature type, so an otherwise unchanged fixed-length list fails to load with `TypeError: 'int' object is not a mapping`.
Select the feature type key explicitly, keeping the existing fallback for othe... | null | {
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} | `ClassLabel` supports `-1` for unknown or missing labels, but `align_labels_with_mapping()` tries to convert it to a label name and raises `ValueError: Invalid integer class label -1`. A partially labeled dataset therefore cannot align its labels with a model's mapping without first dropping or rewriting those rows.
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} | Adding two `DataFilesPatternsList` instances currently returns a `DataFilesList`. This removes lazy `.resolve()` support and stores the extension restrictions as origin metadata. Passing the combined wildcard patterns to `load_dataset("text", ...)` consequently raises `FileNotFoundError` for the unexpanded pattern.
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https://api.github.com/repos/huggingface/datasets/issues/8732 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8732/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8732/comments | https://api.github.com/repos/huggingface/datasets/issues/8732/events | https://github.com/huggingface/datasets/pull/8732 | 5,691,825,090 | PR_kwDODunzps8AAAABGdRVrA | 8,732 | Fix broken documentation links | {
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} | ## What
Fixes three documentation links that no longer land on the page they name.
- `docs/source/upload_dataset.mdx`: `huggingface.co/datasets/cnn_dailymail` returns 404. The dataset card guide already uses `abisee/cnn_dailymail`, which returns 200.
- `docs/source/use_with_numpy.mdx`: `huggingface.co/datasets/mnist` ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8731 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8731/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8731/comments | https://api.github.com/repos/huggingface/datasets/issues/8731/events | https://github.com/huggingface/datasets/pull/8731 | 5,684,498,722 | PR_kwDODunzps8AAAABGXnhsg | 8,731 | Fix audio array handling in preprocess_function | {
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https://api.github.com/repos/huggingface/datasets/issues/8730 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8730/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8730/comments | https://api.github.com/repos/huggingface/datasets/issues/8730/events | https://github.com/huggingface/datasets/pull/8730 | 5,680,780,747 | PR_kwDODunzps8AAAABGUofug | 8,730 | Fix compression in Dataset.to_csv | {
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} | ## Summary
Fixes https://github.com/huggingface/datasets/issues/6043.
`Dataset.to_csv()` currently renders each batch with `pandas.DataFrame.to_csv(path_or_buf=None)`, which returns CSV text and ignores compression. This change applies compression to the output handle once, then writes all serial or multiprocessing-p... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8729 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8729/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8729/comments | https://api.github.com/repos/huggingface/datasets/issues/8729/events | https://github.com/huggingface/datasets/pull/8729 | 5,677,884,912 | PR_kwDODunzps8AAAABGSU51A | 8,729 | Add harbor benchmarks | {
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https://api.github.com/repos/huggingface/datasets/issues/8728 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8728/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8728/comments | https://api.github.com/repos/huggingface/datasets/issues/8728/events | https://github.com/huggingface/datasets/pull/8728 | 5,676,373,533 | PR_kwDODunzps8AAAABGRHzfg | 8,728 | Fix docstrings that name parameters the functions do not have | {
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} | Four `Args:` blocks document an argument that is not in the signature, so the documented name renders as a parameter that does not exist while the real one gets no entry.
| file | function | documented | actual |
|---|---|---|---|
| `arrow_dataset.py` | `Dataset.train_test_split` | `train_cache_file_name`, `test_cache... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8727 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8727/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8727/comments | https://api.github.com/repos/huggingface/datasets/issues/8727/events | https://github.com/huggingface/datasets/pull/8727 | 5,674,882,929 | PR_kwDODunzps8AAAABGP74uQ | 8,727 | Fix repeated Arrow rebatch checkpoint restoration | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/8... | Repeatedly saving and restoring `RebatchedArrowExamplesIterable` can count a partially consumed source chunk twice and fail before reaching the remaining rows. An exhausted `drop_last_batch` checkpoint can also replay discarded tail rows.
Count source chunks relative to the replay position and save the exhausted sourc... | {
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https://api.github.com/repos/huggingface/datasets/issues/8726 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8726/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8726/comments | https://api.github.com/repos/huggingface/datasets/issues/8726/events | https://github.com/huggingface/datasets/pull/8726 | 5,672,626,564 | PR_kwDODunzps8AAAABGOK4zA | 8,726 | Honor Video stream_index for remote paths | {
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} | Users selecting video stream 1 from a nonlocal path received stream 0 instead. In a two-stream file, this returned a red frame where the requested stream contained a blue frame.
`Video.decode_example` passed `stream_index` to the decoder for local paths and bytes, but omitted it when calling `hf_video_reader` for nonl... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8725 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8725/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8725/comments | https://api.github.com/repos/huggingface/datasets/issues/8725/events | https://github.com/huggingface/datasets/pull/8725 | 5,670,923,576 | PR_kwDODunzps8AAAABGM18ig | 8,725 | Fix IterableDataset.filter with arrow, pandas and polars formats | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/8... | Fixes #8724.
`IterableDataset.filter` raised for every table format (`arrow`, `pandas`, `polars`), although the integration guides say it works the same way as `IterableDataset.map`.
Changes:
- `IterableDataset.filter` now builds its iterable the same way `IterableDataset.map` does for table formats: format first, th... | {
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https://api.github.com/repos/huggingface/datasets/issues/8724 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8724/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8724/comments | https://api.github.com/repos/huggingface/datasets/issues/8724/events | https://github.com/huggingface/datasets/issues/8724 | 5,670,920,741 | I_kwDODunzps8AAAABUgNiJQ | 8,724 | IterableDataset.filter fails with arrow, pandas and polars formats | {
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`IterableDataset.filter` fails for every table format (`arrow`, `pandas`, `polars`), even though the "Use with Pandas / PyArrow / Polars" guides say it "also works for `IterableDataset.map` and `IterableDataset.filter`". `map` works in the same setup.
### Steps to reproduce the bug
```python
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https://api.github.com/repos/huggingface/datasets/issues/8723 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8723/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8723/comments | https://api.github.com/repos/huggingface/datasets/issues/8723/events | https://github.com/huggingface/datasets/pull/8723 | 5,670,657,139 | PR_kwDODunzps8AAAABGModfg | 8,723 | Fix concatenate_datasets(axis=1) on arrow-backed iterable datasets with different lengths | {
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} | Fixes #8719.
`HorizontallyConcatenatedMultiSourcesExamplesIterable._iter_arrow` appended each source's columns to the first table without checking lengths. All sources are rebatched to the same batch size, so the only mismatch is the round where the shorter source yields its last partial batch, and `append_column` rai... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8722 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8722/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8722/comments | https://api.github.com/repos/huggingface/datasets/issues/8722/events | https://github.com/huggingface/datasets/pull/8722 | 5,670,070,369 | PR_kwDODunzps8AAAABGMKiVw | 8,722 | Fix iflatmap_unordered with empty worker results | {
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} | ## Problem
`iflatmap_unordered` raises `UnboundLocalError` if any worker returns an empty iterable. `_write_generator_to_queue` returns `i` after its loop, but `i` is never assigned when there are no items. The exception is then propagated by `async_result.get()`, including for mixed empty/non-empty jobs.
## Change
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8721 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8721/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8721/comments | https://api.github.com/repos/huggingface/datasets/issues/8721/events | https://github.com/huggingface/datasets/pull/8721 | 5,669,336,115 | PR_kwDODunzps8AAAABGLklmw | 8,721 | Load directories written by Dataset.save_to_disk in load_dataset | {
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} | Addresses the first of the two remaining items in #5044, as listed in [this comment](https://github.com/huggingface/datasets/issues/5044#issuecomment-2790265378): `load_dataset()` supports the `save_to_disk()` structure, with a warning that it is there for compatibility. It reads the saved Arrow files through the Arrow... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8720 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8720/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8720/comments | https://api.github.com/repos/huggingface/datasets/issues/8720/events | https://github.com/huggingface/datasets/pull/8720 | 5,668,928,046 | PR_kwDODunzps8AAAABGLPeIQ | 8,720 | Add DatasetBuilder.as_iterable_dataset to stream the Arrow cache | {
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} | Resolves #5481. Builds on #7628 by @ArjunJagdale, whose commit is the first one here; thank you for the starting point.
`DatasetBuilder.as_iterable_dataset(split=None)` returns an `IterableDataset` that reads the Arrow files `download_and_prepare()` already wrote to the cache, without loading them into memory. This is... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8719 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8719/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8719/comments | https://api.github.com/repos/huggingface/datasets/issues/8719/events | https://github.com/huggingface/datasets/issues/8719 | 5,664,579,428 | I_kwDODunzps8AAAABUaKfZA | 8,719 | concatenate_datasets(axis=1) crashes on arrow-backed IterableDatasets with different lengths | {
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"gis... | NONE | [] | null | null | null | null | ### Describe the bug
Horizontally concatenating two arrow-backed `IterableDataset`s (for example from `Dataset.to_iterable_dataset()` or a streamed Parquet/Arrow dataset) raises `pyarrow.lib.ArrowInvalid` when the sources have different numbers of rows. The error happens as soon as the result is iterated, through `lis... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8718 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8718/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8718/comments | https://api.github.com/repos/huggingface/datasets/issues/8718/events | https://github.com/huggingface/datasets/pull/8718 | 5,660,310,273 | PR_kwDODunzps8AAAABGERXxg | 8,718 | Don't serve the cached dataset module when download_mode is force_redownload | {
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} | `load_dataset(..., download_mode="force_redownload")` still returns the cached copy of a dataset that's been removed from the Hub instead of raising, as #3105 says. Reproduces on main.
`dataset_module_factory` catches every Hub resolution failure in one handler and tries the module cache before re-raising, and `downlo... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8717 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8717/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8717/comments | https://api.github.com/repos/huggingface/datasets/issues/8717/events | https://github.com/huggingface/datasets/pull/8717 | 5,659,729,501 | PR_kwDODunzps8AAAABGDzk7w | 8,717 | docs: add "Use with Hugging Face Jobs" guide | {
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} | Adds a guide for processing datasets on [Hugging Face Jobs](https://huggingface.co/docs/hub/jobs), under General usage next to "Use with Spark". 🤗 Datasets works the same in a Job; the guide covers the patterns that are specific to datasets:
- `map(num_proc=…)` on a bigger CPU machine (using `CPU_CORES`, since `os.cp... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8716 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8716/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8716/comments | https://api.github.com/repos/huggingface/datasets/issues/8716/events | https://github.com/huggingface/datasets/pull/8716 | 5,656,641,491 | PR_kwDODunzps8AAAABGBWxtw | 8,716 | Allow IterableDataset.push_to_hub num_shards above dataset.num_shards | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/8... | Resolves #7047, following @lhoestq's note there that `IterableDataset.push_to_hub` only accepts `num_shards <= dataset.num_shards`.
Before this change, asking for more output shards than the dataset has failed with `IndexError: list index out of range`, because the work was split by source shard.
When more shards are... | {
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https://api.github.com/repos/huggingface/datasets/issues/8715 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8715/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8715/comments | https://api.github.com/repos/huggingface/datasets/issues/8715/events | https://github.com/huggingface/datasets/pull/8715 | 5,647,881,786 | PR_kwDODunzps8AAAABF6U24Q | 8,715 | Fix Json casts of mixed encoded and plain strings | {
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} | `Json.cast_storage` samples five strings and makes one encoding decision for the entire array. Mixed JSON text and plain strings therefore either double-encode valid JSON or leave later plain strings invalid, depending on row order and casting batch size.
Use the existing `Json.encode_example` rule for each `pa.Stri... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8714 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8714/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8714/comments | https://api.github.com/repos/huggingface/datasets/issues/8714/events | https://github.com/huggingface/datasets/issues/8714 | 5,647,821,325 | I_kwDODunzps8AAAABUKLqDQ | 8,714 | Casting mixed JSON and plain strings to Json depends on row order and batch size | {
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Casting a string column containing both JSON-encoded values and plain strings to `Json()` gives different results depending on row order and `batch_size`. A plain string among the first five rows makes valid JSON values decode as strings; a plain string after those rows is left unencoded and raise... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8713 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8713/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8713/comments | https://api.github.com/repos/huggingface/datasets/issues/8713/events | https://github.com/huggingface/datasets/issues/8713 | 5,645,210,412 | I_kwDODunzps8AAAABUHsTLA | 8,713 | JSON loader turns strings like "123" or "null" into other types in inferred Json columns | {
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For example rows `{"a": {"b": 1}}`, `{"a": "123"}`, `{"a": "null"}`, `{"a": "true"}`, `{"a": "hello"}` load back as `{'b': 1}, 123, None, Tr... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8712 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8712/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8712/comments | https://api.github.com/repos/huggingface/datasets/issues/8712/events | https://github.com/huggingface/datasets/pull/8712 | 5,639,261,481 | PR_kwDODunzps8AAAABFzanzA | 8,712 | Keep Json fields inside a struct from being double-encoded when some struct rows are null | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/8... | A `Json()` field inside a struct is double-encoded for every row when any struct row in the batch is null. Reads then return the raw JSON text instead of the decoded object:
```python
from datasets import Dataset, Features, Json, Value
features = Features({"s": {"x": Json(), "y": Value("int64")}})
ds = Dataset.from_d... | {
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https://api.github.com/repos/huggingface/datasets/issues/8711 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8711/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8711/comments | https://api.github.com/repos/huggingface/datasets/issues/8711/events | https://github.com/huggingface/datasets/pull/8711 | 5,639,217,997 | PR_kwDODunzps8AAAABFzYf3A | 8,711 | Advance the user-supplied generator in Dataset.train_test_split even on cache hits | {
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} | `Dataset.train_test_split(generator=g)` has the same cache-hit problem that #8589 fixed for `Dataset.shuffle`. The #8589 description mentions it as a follow-up.
When a dataset has cache files and the split indices are already cached, `train_test_split` returns before it calls `generator.permutation(...)` (or the strat... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8710 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8710/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8710/comments | https://api.github.com/repos/huggingface/datasets/issues/8710/events | https://github.com/huggingface/datasets/pull/8710 | 5,627,489,595 | PR_kwDODunzps8AAAABFp_x3w | 8,710 | Fix string_to_dict with unrelated regex capture groups | {
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} | Fixes #8709.
`string_to_dict` zipped every regex capture group to the format field names, so a pattern whose own groups came first (for example `(train|test)/{name}`) mapped the field to the wrong group - `name` got `"train"` instead of the real value. Read each field from its named group (`result.group(f"_{key}")`)... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8709 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8709/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8709/comments | https://api.github.com/repos/huggingface/datasets/issues/8709/events | https://github.com/huggingface/datasets/issues/8709 | 5,627,431,520 | I_kwDODunzps8AAAABT2vKYA | 8,709 | string_to_dict maps fields to unrelated regex capture groups | {
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... | NONE | [] | null | null | null | null | ## Problem
`string_to_dict` creates named groups for format fields, but builds the result by zipping field names with every regex capture. An unrelated capturing group shifts the values.
## Reproduction
```python
from datasets.utils.py_utils import string_to_dict
print(string_to_dict("train/alice", "(train|test)/{na... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8708 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8708/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8708/comments | https://api.github.com/repos/huggingface/datasets/issues/8708/events | https://github.com/huggingface/datasets/pull/8708 | 5,624,930,451 | PR_kwDODunzps8AAAABFn8K7A | 8,708 | Raise instead of hanging on a probability-0 source without replacement | {
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} | Anyone who passes `probabilities` with a 0 weight together with `stopping_strategy="all_exhausted_without_replacement"` to `interleave_datasets` on map-style datasets gets a call that never returns: the source with probability 0 is never drawn, so it is never marked exhausted and the sampling loop keeps drawing forever... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8707 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8707/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8707/comments | https://api.github.com/repos/huggingface/datasets/issues/8707/events | https://github.com/huggingface/datasets/pull/8707 | 5,621,204,667 | PR_kwDODunzps8AAAABFk-vwA | 8,707 | Fix epoch iteration after skipping or taking a streaming subset | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/8... | Fixes #8706.
After `skip()` or `take()`, iterating an `IterableDataset` at a nonzero epoch currently raises `DataSourcesShufflingDisallowed`. Preserve the frozen shard order during epoch preparation, while still updating shuffle-buffer RNGs.
Shift RNGs on shallow copies of the iterable wrappers so the stored pipeline... | {
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https://api.github.com/repos/huggingface/datasets/issues/8706 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8706/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8706/comments | https://api.github.com/repos/huggingface/datasets/issues/8706/events | https://github.com/huggingface/datasets/issues/8706 | 5,621,186,429 | I_kwDODunzps8AAAABTwx_fQ | 8,706 | IterableDataset skip/take fails when iterating a nonzero epoch | {
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After `IterableDataset.skip()` or `take()`, iteration works at epoch 0 but raises `DataSourcesShufflingDisallowed` after `set_epoch(1)`. This also affects a frozen subset with a shuffle buffer, so a multi-epoch data-loading loop stops when it starts its second epoch.
Reproduced with Datasets 5.0.... | {
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https://api.github.com/repos/huggingface/datasets/issues/8705 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8705/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8705/comments | https://api.github.com/repos/huggingface/datasets/issues/8705/events | https://github.com/huggingface/datasets/issues/8705 | 5,608,735,312 | I_kwDODunzps8AAAABTk6CUA | 8,705 | Skip constructing disabled `hf_tqdm` progress bars in `map_nested` and `_single_map_nested` | {
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`map_nested()` in `src/datasets/utils/py_utils.py` is called for every example by the tensor formatters (such as `TorchFormatter.recursive_tensorize()`) with `disable_tqdm=True` (the default). However, `map_nested()` unconditionally wraps its input iterable in `hf_tqdm(iterable, disable=disabl... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8704 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8704/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8704/comments | https://api.github.com/repos/huggingface/datasets/issues/8704/events | https://github.com/huggingface/datasets/issues/8704 | 5,608,713,007 | I_kwDODunzps8AAAABTk4rLw | 8,704 | Avoid repeated `np.lib.NumpyVersion(np.__version__)` parsing per column/row in `NumpyArrowExtractor._arrow_array_to_numpy` | {
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In `src/datasets/formatting/formatting.py`, `NumpyArrowExtractor._arrow_array_to_numpy()` checks the installed NumPy version on every call by evaluating:
```python
if np.lib.NumpyVersion(np.__version__) >= "2.0.0b1":
```
When iterating a formatted `IterableDataset` (e.g., `.with_format("torc... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8703 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8703/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8703/comments | https://api.github.com/repos/huggingface/datasets/issues/8703/events | https://github.com/huggingface/datasets/pull/8703 | 5,607,247,411 | PR_kwDODunzps8AAAABFZyNpQ | 8,703 | Cap lock filename so the total path stays under MAX_PATH on Windows | {
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} | Fixes #8702.
On Windows, the builder lock flattens the entire absolute cache dir into the lock *filename*, roughly doubling the total path — so `load_dataset()` dies with `[WinError 206] The filename or extension is too long` at cache dirs of ~85+ chars (a OneDrive Documents folder is enough), long before anything els... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8702 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8702/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8702/comments | https://api.github.com/repos/huggingface/datasets/issues/8702/events | https://github.com/huggingface/datasets/issues/8702 | 5,607,241,083 | I_kwDODunzps8AAAABTje1ew | 8,702 | Windows: `load_dataset` fails with WinError 206 for moderately deep `cache_dir` because the lock filename duplicates the whole path | {
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On Windows, `load_dataset()` fails with `FileNotFoundError: [WinError 206] The filename or extension is too long` for cache directories that are only moderately deep (~85+ characters, e.g. a OneDrive Documents folder), well before Windows' actual 260-character `MAX_PATH` limit would justify it.
C... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8701 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8701/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8701/comments | https://api.github.com/repos/huggingface/datasets/issues/8701/events | https://github.com/huggingface/datasets/pull/8701 | 5,607,088,434 | PR_kwDODunzps8AAAABFZqTkQ | 8,701 | Implement __arrow_array__ on PandasArrayExtensionArray so ArrayXD columns can go back from pandas to Arrow | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/8... | Fixes #8699
`Dataset.to_pandas()` returns ArrayXD columns as `PandasArrayExtensionArray`, but that extension array never implemented pyarrow's `__arrow_array__` protocol, so `pa.Table.from_pandas` raised `ArrowTypeError: Did not pass numpy.dtype object`. This broke `Dataset.from_pandas(ds.to_pandas())` and `ds.with_fo... | {
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https://api.github.com/repos/huggingface/datasets/issues/8700 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8700/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8700/comments | https://api.github.com/repos/huggingface/datasets/issues/8700/events | https://github.com/huggingface/datasets/pull/8700 | 5,607,087,134 | PR_kwDODunzps8AAAABFZqPIA | 8,700 | Fix torchcodec docs links | {
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https://api.github.com/repos/huggingface/datasets/issues/8699 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8699/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8699/comments | https://api.github.com/repos/huggingface/datasets/issues/8699/events | https://github.com/huggingface/datasets/issues/8699 | 5,607,085,315 | I_kwDODunzps8AAAABTjVVAw | 8,699 | Dataset.from_pandas and pandas-formatted map fail on ArrayXD columns: PandasArrayExtensionArray has no __arrow_array__ | {
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`Dataset.to_pandas()` returns `Array2D`/`Array3D`/... columns as `datasets.features.features.PandasArrayExtensionArray`. That pandas extension array does not implement pyarrow's `__arrow_array__` protocol, so converting such a DataFrame back to Arrow raises `ArrowTypeError: Did not pass numpy.dtyp... | {
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https://api.github.com/repos/huggingface/datasets/issues/8696 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8696/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8696/comments | https://api.github.com/repos/huggingface/datasets/issues/8696/events | https://github.com/huggingface/datasets/pull/8696 | 5,604,478,773 | PR_kwDODunzps8AAAABFXpjGg | 8,696 | Fix DatasetInfosDict metadata overwrite | {
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} | **Fix DatasetInfosDict metadata overwrite**
## Summary
`DatasetInfosDict.write_to_directory(..., overwrite=True)` raises
`AttributeError: 'dict' object has no attribute 'to_dataset_card_data'` for
nonempty input. The writer initializes its collection as a plain `dict`; if a
legacy `dataset_infos.json` exists, ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8695 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8695/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8695/comments | https://api.github.com/repos/huggingface/datasets/issues/8695/events | https://github.com/huggingface/datasets/pull/8695 | 5,603,476,994 | PR_kwDODunzps8AAAABFW4P6w | 8,695 | Keep take/skip counts when there are more DataLoader workers than shards | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/8... | With more DataLoader workers than shards, `IterableDataset.take(n)` yields fewer than `n` examples and `skip(n)` skips fewer than `n`:
```python
import torch
from datasets import Dataset
ds = Dataset.from_dict({"id": list(range(10_000))}).to_iterable_dataset(num_shards=1)
for name, pipe in [("take(1000)", ds.take(100... | {
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https://api.github.com/repos/huggingface/datasets/issues/8693 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8693/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8693/comments | https://api.github.com/repos/huggingface/datasets/issues/8693/events | https://github.com/huggingface/datasets/pull/8693 | 5,600,845,890 | PR_kwDODunzps8AAAABFU6i5g | 8,693 | fix: use Sequence instead of List for PathLike type annotations (fixes #5354) | {
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} | ## Description
This PR addresses issue #5354 by changing the type annotation for path_or_paths parameters from Union[PathLike, list[PathLike]] to Union[PathLike, Sequence[PathLike]] in rrow_dataset.py.
## Changes
- Updated 4 method signatures in src/datasets/arrow_dataset.py:
- rom_csv
- rom_json
- rom_par... | null | {
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} | Buffered `ArrowWriter.write_row` calls concatenate the input tables before the usual schema cast. Compatible rows therefore fail when their columns arrive in a different order or a later row omits a column. This also breaks `load_dataset("json", ...)` for one-record JSON files, even though the same records work with im... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8691 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8691/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8691/comments | https://api.github.com/repos/huggingface/datasets/issues/8691/events | https://github.com/huggingface/datasets/pull/8691 | 5,597,365,132 | PR_kwDODunzps8AAAABFST6Hg | 8,691 | Fix OverflowError for uint64 values above the int64 range | {
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} | Fixes #6007.
A `Value("uint64")` column cannot hold values above `2**63 - 1` when the data arrives as Python ints, which is how 64-bit hashes (simhash, minhash, xxhash64) usually arrive:
```python
from datasets import Dataset, Features, Value
features = Features({"simhash": Value("uint64")})
ds = Dataset.from_dict({... | null | {
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} | ## Problem
`IterableDataset.shard` documents that *"n should be less or equal to the number of shards in the dataset `dataset.num_shards`"*, but violating that (or passing `index >= num_shards`) crashes with an **opaque `IndexError`** from deep inside `_merge_gen_kwargs`:
```python
>>> from datasets import IterableDa... | null | {
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} | ## Problem
`ClassLabel.int2str` rejects numpy integer scalars even though the error message itself advertises numpy support:
```python
>>> from datasets import ClassLabel
>>> import numpy as np
>>> cl = ClassLabel(names=["negative", "positive"])
>>> cl.int2str(np.int64(0))
ValueError: Values 0 should be an integer or... | null | {
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} | ClassLabel.cast_storage decided whether to map label names to ids with isinstance(storage, pa.StringArray). pa.LargeStringArray and pa.StringViewArray are not subclasses of pa.StringArray, so arrays of those types fell through to array_cast(storage, int64), which tried to parse the label names as integers:
Arrow... | null | {
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} | The wrapper's __init__ took *args, **kwargs. filelock decides which constructor arguments to forward by inspecting the signature of cls.__init__ for parameter names, so timeout, thread_local, blocking, is_singleton, poll_interval and lifetime were all dropped before they reached the parent: FileLock(path, timeout=5).ti... | null | {
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} | Fixes #8637
datasets FileLock only declared lock_file plus *args and **kwargs. filelock looks at named parameters on the subclass, so timeout, mode, and is_singleton never reached the lock. The wrapper also wrote a concrete umask mode, and singleton reuse then compared that mode to the unset sentinel and raised.
This... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8685 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8685/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8685/comments | https://api.github.com/repos/huggingface/datasets/issues/8685/events | https://github.com/huggingface/datasets/pull/8685 | 5,585,152,002 | PR_kwDODunzps8AAAABFI-kfA | 8,685 | Fix streaming dataset features after map/add_column | {
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} | Fixes #5752
## What changed?
1. Preserves existing features when `map()` is called without an explicit `features` parameter (including identity functions like `map(lambda x: x)`)
2. Properly removes features for columns specified in `remove_columns`
3. Adds a `feature` parameter to `add_column()` (consistent with the ... | null | {
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} | Fixes https://github.com/huggingface/datasets/issues/8705
`map_nested` is called for every example by the tensor formatters (e.g. `TorchFormatter.recursive_tensorize`). It wrapped its iterable in an `hf_tqdm` object even when `disable_tqdm=True`, which is the default. The same happened in `_single_map_nested` for ev... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8683 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8683/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8683/comments | https://api.github.com/repos/huggingface/datasets/issues/8683/events | https://github.com/huggingface/datasets/pull/8683 | 5,580,532,024 | PR_kwDODunzps8AAAABFFUF2A | 8,683 | Compute the numpy version check once in NumpyArrowExtractor | {
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} | Fixes https://github.com/huggingface/datasets/issues/8704
`_arrow_array_to_numpy()` parsed `np.__version__` with `np.lib.NumpyVersion` for every extracted column, i.e. once per column per row when iterating a formatted `IterableDataset`. | null | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/8... | `Json.cast_storage` only treats a `pa.StringArray` as already holding JSON text. `large_string` and `string_view` arrays are not subclasses of it, so they fall through to the generic branch and every value gets JSON-encoded a second time. The column then decodes back to plain strings instead of objects, and no error is... | {
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https://api.github.com/repos/huggingface/datasets/issues/8681 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8681/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8681/comments | https://api.github.com/repos/huggingface/datasets/issues/8681/events | https://github.com/huggingface/datasets/issues/8681 | 5,573,876,336 | I_kwDODunzps8AAAABTDqacA | 8,681 | Casting `large_string` / `string_view` to ClassLabel fails, so `Dataset.from_pandas(df, features=ClassLabel)` breaks with pandas 3 | {
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`ClassLabel.cast_storage` only maps label strings to ids when the storage is a `pa.StringArray` (`src/datasets/features/features.py`, ~L1195: `elif isinstance(storage, pa.StringArray):`). `pa.LargeStringArray` and `pa.StringViewArray` are not subclasses of it, so they skip the mapping and go strai... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8680 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8680/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8680/comments | https://api.github.com/repos/huggingface/datasets/issues/8680/events | https://github.com/huggingface/datasets/pull/8680 | 5,572,599,054 | PR_kwDODunzps8AAAABE--VtQ | 8,680 | Don't import aiohttp when importing datasets | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/8... | `import datasets` imports aiohttp just to reference `aiohttp.ClientError` in the two retry `except` clauses in `file_utils.py`. That's about 50 ms of a ~470 ms import (`python -X importtime -c "import datasets"`), and nothing else imports aiohttp at that point.
This looks the error type up when the `except` clause run... | {
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} | ## Description
`Dataset.__getitem__` accepts Python negative indices (`ds[-1]`, `ds[[-1]]`), and `_check_valid_indices_value` already allows them in `select`. Building the indices mapping still passed those values to `pa.array(..., type=uint64)`, which raised `OverflowError`.
Resolve negatives to absolute positions b... | null | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/8... | ### Requires `transformers` release for CI to pass (i.e. https://github.com/huggingface/transformers/pull/49083)
---
Allow `huggingface_hub` 2.x by bumping the upper bound to `<3.0` (lower bound unchanged).
`huggingface_hub` 2.0 was just released ([release notes](https://github.com/huggingface/huggingface_hub/... | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/8... | ## What was wrong
`GenBank._parse_location_node` computes the aggregate span of a `join`/`order` location from the *positional* first and last parts:
```python
location["start"] = located[0]["start"]
location["end"] = located[-1]["end"]
```
This assumes the parts are listed in ascending genomic order. They are not f... | {
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https://api.github.com/repos/huggingface/datasets/issues/8676 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8676/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8676/comments | https://api.github.com/repos/huggingface/datasets/issues/8676/events | https://github.com/huggingface/datasets/pull/8676 | 5,561,659,886 | PR_kwDODunzps8AAAABE2Y-3Q | 8,676 | Fix JSON loader when mixed-shape JSONL chunks differ by keys | {
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} | Fixes #8675.
`load_dataset("json")` inferred each JSONL chunk on its own, then cast later chunks onto the first chunk's columns. When `chunksize` split sorted mixed shapes, a later shape with new keys failed that cast.
Before taking the schema from the first table, cast every chunk table to the union schema (`pa.unif... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8675 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8675/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8675/comments | https://api.github.com/repos/huggingface/datasets/issues/8675/events | https://github.com/huggingface/datasets/issues/8675 | 5,560,824,749 | I_kwDODunzps8AAAABS3NzrQ | 8,675 | load_dataset("json") fails on mixed-shape JSONL when a chunksize boundary separates the shapes | {
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... | [] | open | false | [] | null | 1 | 2026-09-23T23:31:51 | 2026-09-24T00:46:12 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
`load_dataset("json")` raises `DatasetGenerationError` ("column names don't match") on a valid JSONL file that mixes two record shapes, whenever the default 10MB `chunksize` splits the file so that different chunks see different sets of columns.
The JSON loader reads the file in `chunksize` batch... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8674 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8674/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8674/comments | https://api.github.com/repos/huggingface/datasets/issues/8674/events | https://github.com/huggingface/datasets/pull/8674 | 5,553,887,490 | PR_kwDODunzps8AAAABEwNmCg | 8,674 | Key parquet column options by leaf path so nested columns get compressed | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/8... | Fixes #8671
## Summary
`pq.ParquetWriter` matches per-column `compression` / `use_dictionary` / `column_encoding` against the leaf column paths (`train.list.element.input...`), but both `ParquetWriter._build_writer` and `ParquetDatasetWriter._write` keyed them by top-level feature name. Nested list/struct columns nev... | {
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https://api.github.com/repos/huggingface/datasets/issues/8673 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8673/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8673/comments | https://api.github.com/repos/huggingface/datasets/issues/8673/events | https://github.com/huggingface/datasets/pull/8673 | 5,553,482,935 | PR_kwDODunzps8AAAABEv5mcA | 8,673 | Pin GitHub Actions to commit SHAs | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/8... | ## Workflow hardening
### Actions pinned to commit SHAs
A version tag is mutable. Whoever controls an action's repository can move `v4`
to different code, and every workflow referencing `@v4` picks that up on the
next run with nothing to review. That is how `tj-actions/changed-files` shipped
a credential dumper to th... | {
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https://api.github.com/repos/huggingface/datasets/issues/8672 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8672/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8672/comments | https://api.github.com/repos/huggingface/datasets/issues/8672/events | https://github.com/huggingface/datasets/pull/8672 | 5,552,369,336 | PR_kwDODunzps8AAAABEvBCPA | 8,672 | Scope GITHUB_TOKEN permissions per job | {
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"patch_url": "https://github.com/huggingface/datasets/pull/8672.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/8... | ## Workflow hardening
### `GITHUB_TOKEN` permissions scoped per job
A workflow with no `permissions:` block inherits whatever the repository or the
organization hands out, which is commonly write access to everything. Any step
in that job — including one inside a third-party action — can then push commits,
open relea... | {
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https://api.github.com/repos/huggingface/datasets/issues/8671 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8671/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8671/comments | https://api.github.com/repos/huggingface/datasets/issues/8671/events | https://github.com/huggingface/datasets/issues/8671 | 5,550,986,915 | I_kwDODunzps8AAAABSt1Wow | 8,671 | push_to_hub() / to_parquet() leave nested list/struct columns uncompressed | {
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... | [] | closed | false | [] | null | 0 | 2026-09-23T08:44:43 | 2026-10-05T12:48:36 | 2026-10-05T12:48:36 | null | NONE | [] | null | null | null | null | ### Describe the bug
`push_to_hub()` and `to_parquet()` silently write nested (list/struct) columns UNCOMPRESSED, while flat columns get snappy. Measured impact: ~30x size inflation for nested-column datasets (a 114 MB JSONL with list/struct columns pushes as a 215 MB shard; the same data with compression applied is ~... | {
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https://api.github.com/repos/huggingface/datasets/issues/8670 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8670/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8670/comments | https://api.github.com/repos/huggingface/datasets/issues/8670/events | https://github.com/huggingface/datasets/pull/8670 | 5,543,671,677 | PR_kwDODunzps8AAAABEoMYbQ | 8,670 | Preserve source shards when shuffling iterable datasets | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/8... | `IterableDataset.shuffle()` currently interleaves the source shards before node and DataLoader worker sharding. With 19 source shards and the default settings, the resulting dataset reports one shard, leaving three of four DataLoader workers idle.
This adds a dedicated iterable that preserves the source shard count an... | {
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https://api.github.com/repos/huggingface/datasets/issues/8669 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8669/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8669/comments | https://api.github.com/repos/huggingface/datasets/issues/8669/events | https://github.com/huggingface/datasets/issues/8669 | 5,542,791,526 | I_kwDODunzps8AAAABSmBJZg | 8,669 | `IterableDataset.shuffle()` in 5.0 reports `num_shards = min(files per source)`, leaving DataLoader workers and distributed nodes without data | {
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I recently updated an env to datasets 5.0.1 and ended up with several of my DataLoader workers spinning. Spinning issue is on my end, and there is a viable workaround, but there's a change on the datasets side that triggered and may be unexpected / sub-optimal in common use cases.
Since 5.0.0 (#... | {
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} | `Dataset.from_spark(..., working_dir=...)` cannot work today: the shard-move step raises `NameError`.
`Spark._prepare_split_single` writes each worker's shards into `working_dir` and then moves them into the cache directory:
```python
if working_fpath != fpath:
for file in os.listdir(os.path.dirname(working_fpath... | null | {
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} | `ClassLabel.int2str()` rejected numpy integer scalars (`np.int64`, `np.int32`) with `ValueError: Values 0 should be an integer`. That is the type `Dataset.set_format("numpy")` returns for a ClassLabel column, so this public call crashed:
```python
ds.set_format("numpy")
ds.features["label"].int2str(ds[0]["label"])
``... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8666 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8666/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8666/comments | https://api.github.com/repos/huggingface/datasets/issues/8666/events | https://github.com/huggingface/datasets/pull/8666 | 5,538,124,605 | PR_kwDODunzps8AAAABEjthDg | 8,666 | Fix broken internal anchor link in share.mdx | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/8... | ## What
Fixed an outdated internal anchor link in docs/source/share.mdx pointing to repository_structure.mdx#define-your-splits-in-yaml (404) instead of the current heading anchor #define-your-splits-and-subsets-in-yaml.
## Why
A small, objectively-verifiable improvement (broken-link) found during a
daily open-source ... | {
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https://api.github.com/repos/huggingface/datasets/issues/8665 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8665/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8665/comments | https://api.github.com/repos/huggingface/datasets/issues/8665/events | https://github.com/huggingface/datasets/pull/8665 | 5,537,422,069 | PR_kwDODunzps8AAAABEjJXpA | 8,665 | Batch in arrow when the source is arrow-backed, and let `_consolidate` type numpy scalars | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/8... | Fixes #8663
**1. `IterableDataset.batch()` takes arrow-backed data out of arrow for no reason**
(`iterable_dataset.py`). It regroups via a Python transpose, `_batch_fn`, which converts arrow
to Python examples and transposes them back. #8126 already added an arrow path for this, gated
on `self._formatting.is_tab... | {
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https://api.github.com/repos/huggingface/datasets/issues/8664 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8664/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8664/comments | https://api.github.com/repos/huggingface/datasets/issues/8664/events | https://github.com/huggingface/datasets/pull/8664 | 5,537,374,663 | PR_kwDODunzps8AAAABEjG7xA | 8,664 | Keep the declared numpy dtype when a batch is regrouped from formatted rows | {
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} | ## Summary
`NumpyFormatter._consolidate` only stacks a column when every element is an `np.ndarray`. Numpy scalars are `np.generic`, not `np.ndarray`, so any path that hands the formatter a list of scalars falls into the `dtype=object` branch:
- `IterableDataset.batch()` regroups with a python transpose (`{k: [v] for... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8663 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8663/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8663/comments | https://api.github.com/repos/huggingface/datasets/issues/8663/events | https://github.com/huggingface/datasets/issues/8663 | 5,537,226,391 | I_kwDODunzps8AAAABSgtelw | 8,663 | IterableDataset numpy format returns object instead of the declared dtype | {
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`NumpyFormatter._consolidate` builds a typed array only when every element is an `np.ndarray`. numpy **scalars** are `np.number`, not `np.ndarray`.
### Face 1 — `IterableDataset.batch()` on an arrow-backed dataset
`.batch()` regroups via a Python transpose
(`_batch_fn = lambda unbatched: {k: [v]... | {
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https://api.github.com/repos/huggingface/datasets/issues/8662 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8662/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8662/comments | https://api.github.com/repos/huggingface/datasets/issues/8662/events | https://github.com/huggingface/datasets/pull/8662 | 5,536,466,672 | PR_kwDODunzps8AAAABEiYJWA | 8,662 | Speed up JSON export of indexed datasets | {
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Non-contiguous selections and shuffles still leave an indices mapping. Querying a JSON export batch then produces one Arrow chunk per selected row, making conversion to pandas expensive. Combine the queried batch before conversion, while keeping the exist... | {
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https://api.github.com/repos/huggingface/datasets/issues/8661 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8661/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8661/comments | https://api.github.com/repos/huggingface/datasets/issues/8661/events | https://github.com/huggingface/datasets/pull/8661 | 5,535,263,354 | PR_kwDODunzps8AAAABEha4Pw | 8,661 | Validate a split name against the whole string | {
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} | ## Summary
Eight checks in the library validate a split name with `re.match(_split_re, name)` and,
when it fails, raise `Split name should match '^\w+(\.\w+)*$' but got '<name>'`. The
message promises a full match, but `"$"` also matches right before a newline at the end
of the string, so a name such as `"train\n"` pa... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8660 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8660/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8660/comments | https://api.github.com/repos/huggingface/datasets/issues/8660/events | https://github.com/huggingface/datasets/pull/8660 | 5,532,130,631 | PR_kwDODunzps8AAAABEe8Egg | 8,660 | Fix empty translations with declared languages | {
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} | Fixes #8659.
With declared languages, `TranslationVariableLanguages` raises a `ValueError` for `{}`, `{"en": []}`, and other inputs containing no translations. Return `{"language": [], "translation": []}` when normalization produces no translation pairs, after validating the language names.
Regression tests cover dir... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8659 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8659/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8659/comments | https://api.github.com/repos/huggingface/datasets/issues/8659/events | https://github.com/huggingface/datasets/issues/8659 | 5,529,142,676 | I_kwDODunzps8AAAABSZAFlA | 8,659 | TranslationVariableLanguages crashes on empty translations with declared languages | {
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With an explicit language list, `TranslationVariableLanguages.encode_example()`
raises `ValueError: not enough values to unpack (expected 2, got 0)` for `{}`,
`{"en": []}`, or `{"en": [], "fr": []}`. The same inputs also prevent
`Dataset.from_dict()` from constructing a dataset.
The equivalent alr... | null | {
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IterableDataset._push_parquet_shards_to_hub() then crashed at the decodable-columns ... | {
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https://api.github.com/repos/huggingface/datasets/issues/8657 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8657/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8657/comments | https://api.github.com/repos/huggingface/datasets/issues/8657/events | https://github.com/huggingface/datasets/pull/8657 | 5,528,122,157 | PR_kwDODunzps8AAAABEbsYug | 8,657 | [docs] Fix legacy hf CLI references (datasets) | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/8... | The docs and a few docstrings still use commands that are no longer the recommended `huggingface_hub` usage in 1.x: `hf` replaced `huggingface-cli`, `hf repos` replaced `hf repo`, and `--organization` was replaced by a namespaced repo id.
- `docs/source/share.mdx`: `huggingface-cli login` → `hf auth login`, `huggingfa... | {
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https://api.github.com/repos/huggingface/datasets/issues/8656 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8656/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8656/comments | https://api.github.com/repos/huggingface/datasets/issues/8656/events | https://github.com/huggingface/datasets/pull/8656 | 5,527,926,378 | PR_kwDODunzps8AAAABEbicEA | 8,656 | Fix EXIF orientation for in-memory PIL image inputs | {
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} | Serializing an in-memory PIL image through `Image` drops its EXIF orientation before decoding can apply the transpose added in #6739. The same JPEG with orientation 6 is decoded as `(4, 8)` when supplied as bytes, but `(8, 4)` when supplied as `PIL.Image.open(BytesIO(...))`. This also reproduces on the 5.0.1 release.
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https://api.github.com/repos/huggingface/datasets/issues/8655 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8655/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8655/comments | https://api.github.com/repos/huggingface/datasets/issues/8655/events | https://github.com/huggingface/datasets/pull/8655 | 5,527,145,904 | PR_kwDODunzps8AAAABEa6MSg | 8,655 | Format a zero size as "0 bytes" instead of "Unknown size" | {
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} | `size_str()` documents that it returns `"Unknown size"` when `size_in_bytes` is `None`:
```python
def size_str(size_in_bytes):
"""Returns a human readable size string.
If size_in_bytes is None, then returns "Unknown size".
...
"""
if not size_in_bytes:
return "Unknown size"
```
The test i... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8654 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8654/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8654/comments | https://api.github.com/repos/huggingface/datasets/issues/8654/events | https://github.com/huggingface/datasets/pull/8654 | 5,526,112,669 | PR_kwDODunzps8AAAABEaGD5g | 8,654 | Fix mutual exclusion for long lock filenames across processes | {
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} | Fixes #8653.
Long lock filenames are shortened with Python's process-randomized string hash. Independent processes can therefore acquire different lock files for the same original path, bypassing mutual exclusion. This can affect the cache-directory lock in `DatasetBuilder`, where the directory path is flattened into ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8653 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8653/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8653/comments | https://api.github.com/repos/huggingface/datasets/issues/8653/events | https://github.com/huggingface/datasets/issues/8653 | 5,526,093,910 | I_kwDODunzps8AAAABSWGAVg | 8,653 | Long lock filenames do not provide mutual exclusion across Python processes | {
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"gis... | [] | open | false | [] | null | 0 | 2026-09-21T11:02:34 | 2026-09-21T11:02:34 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
`FileLock.hash_filename_if_too_long()` uses Python's `hash(filename)` to shorten long lock filenames. String hashes vary between independently started Python processes, so two processes given the same long lock path can lock different files and both enter the protected section.
This affects paths... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8652 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8652/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8652/comments | https://api.github.com/repos/huggingface/datasets/issues/8652/events | https://github.com/huggingface/datasets/pull/8652 | 5,522,884,515 | PR_kwDODunzps8AAAABEXfrSQ | 8,652 | Read JSON floats exactly in the pandas fallback | {
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} | `pandas_read_json()` in `packaged_modules/json/json.py` calls `pd.read_json()` with pandas' default float parser, which is fast but not round-trip exact:
```python
>>> import io, pandas as pd
>>> pd.read_json(io.StringIO('{"v": 0.7}\n'), lines=True)["v"][0]
np.float64(0.7000000000000001)
>>> pd.read_json(io.StringIO('... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8651 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8651/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8651/comments | https://api.github.com/repos/huggingface/datasets/issues/8651/events | https://github.com/huggingface/datasets/pull/8651 | 5,521,224,562 | PR_kwDODunzps8AAAABEWMWvw | 8,651 | Fix Python 3.14 dict pickling compatibility | {
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} | Closes #8373.
## Summary
- passes the new Python 3.14 `_batch_setitems` object argument when the custom datasets pickler is called through the old two-argument path
- keeps the existing key sorting behavior for stable fingerprints
- adds a regression test that simulates the Python 3.14 parent pickler signature
... | null | {
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