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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
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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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End of preview. Expand in Data Studio
GitHub Issues – huggingface/datasets (raw)
Dataset Summary
A corpus of GitHub issues and pull requests from the huggingface/datasets repository. Created as a practice exercise following Chapter 5 of the Hugging Face LLM Course ("Creating your own dataset").
How the data was collected
- Source: GitHub REST API (
/repos/huggingface/datasets/issues,state=all) - Collected on: 2026-10-05
- Pull requests are included; they can be identified by the
pull_requestfield (it isNonefor regular issues). - This "raw" version keeps the original API fields with minimal processing and does not include issue comments.
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Each row is one issue or pull request. Key fields:
number– issue/PR numbertitle– titlebody– description textlabels– GitHub labels (e.g. bug, enhancement)state– open or closedcreated_at,closed_at– timestampspull_request– present only for pull requests
Intended Uses
- Learning to build and share datasets with 🤗 Datasets
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- Multilabel classification of issue labels
- Semantic search over issues
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- (If you limited
num_issues) Only a subset of all issues was collected. - Text was written by GitHub users and may contain usernames, code, and links.
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Issue content belongs to the original GitHub authors and is subject to GitHub's Terms of Service. Shared here for educational purposes.
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