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value:Fix class_encode_column and align_labels_with_mapping on formatted datasets
value:2026-11-10T18:09:31Z
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value:## Summary Fixes #8996 `Dataset.class_encode_column` and `Dataset.align_labels_with_mapping` now work on formatted datasets. Before, with a `torch` format, `class_encode_column` on an integer column produced the class names `['tensor(1)', 'tensor(3)']` instead of `['1', '3']`, and with the `numpy`, `arrow` or `...
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value:class_encode_column and align_labels_with_mapping give wrong class names or fail on a formatted dataset
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value:### Describe the bug `Dataset.class_encode_column` and `Dataset.align_labels_with_mapping` run their internal `map` with the dataset's format, but the functions they map expect batches of python lists. On a dataset formatted with `torch`, `class_encode_column` on an integer column silently produces class names l...
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value:Raise instead of hanging when a num_proc worker dies in exports and downloads
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value:Fixes #8993. With `num_proc > 1`, `Dataset.to_sql`, `to_csv` and `to_json` and the download/extract step of `load_dataset(..., num_proc=N)` never return if a pool worker dies abruptly, for example after an OOM kill, a `kill -9`, or a task that fails to unpickle in the worker. `Dataset.map` already raises in this...
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value:Preserve zero affected-row counts in Dataset.to_sql
value:2026-11-10T12:55:30Z
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value:`Dataset.to_sql` can report that rows were written when a custom pandas insertion method inserted none. For example, writing `[1, 2, 3, 4]` in batches of two with SQLite `INSERT OR IGNORE` returns `4` when the table already contains all four values. It also returns `4` instead of `2` when only the first batch is ...
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value:With `num_proc>1`, `to_sql`/`to_csv`/`to_json` and `load_dataset` downloads never return if a worker process dies
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value:### Describe the bug With `num_proc > 1`, two code paths send their tasks to a stdlib `multiprocessing.Pool` and wait on it without the dead-worker check that #5976 added to `iflatmap_unordered`: - the writers behind `Dataset.to_sql`, `to_csv` and `to_json`, which iterate over `pool.imap(...)` (`io/sql.py`, `io...
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value:Fix IterableDataset state_dict freezing when a sibling dataset is created
value:2026-11-10T07:35:29Z
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value:Fixes #8991 Datasets derived from the same dataset (e.g. `ds.skip(n)` and `ds.take(n)`) share its ex_iterables. Creating or iterating one of them runs `_prepare_ex_iterable_for_iteration()`, which calls `_init_state_dict()` on the shared nodes and replaces their state dicts. The other dataset's running iterator ...
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value:IterableDataset.state_dict() stops advancing when another dataset derived from the same source is created or iterated
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value:### Describe the bug If two datasets are derived from the same `IterableDataset` (for example `train_ds = ds.skip(n)` and `eval_ds = ds.take(n)`), creating or iterating one of them freezes the `state_dict()` of the other while it is being iterated. The examples it yields are still correct, but its checkpoint sto...
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value:Fix formatting in README.md for clarity
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value:Fix signature mismatch in FilteredExamplesIterable.shuffle_data_sources
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value:Fixes #8988 ### Description Align `FilteredExamplesIterable.shuffle_data_sources` signature with `_BaseExamplesIterable` and sibling iterable classes (`MappedExamplesIterable`, `ExamplesIterable`, etc.). Currently, `FilteredExamplesIterable.shuffle_data_sources` accepts `seed: Optional[int]` and passes it dire...
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value:Signature mismatch in FilteredExamplesIterable.shuffle_data_sources
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value:### Describe the bug In `datasets.iterable_dataset.FilteredExamplesIterable`, the `shuffle_data_sources` method has a signature mismatch compared to `_BaseExamplesIterable` and all other sibling iterable classes: ```python class FilteredExamplesIterable(MappedExamplesIterable): ... def shuffle_data_sour...
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value:### Describe the bug `Split.subsplit(weighted=...)` accepts negative weights and can produce invalid percent slices. When all weights are zero, it raises `ZeroDivisionError` while normalizing the weights. ### Steps to reproduce the bug ```python from datasets import Split Split.TRAIN.subsplit(weighted=[0, 0])...
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value:could be useful for datasets that do tons of random access to files when streaming, like videos in robotics datasets in `lerobot`
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value:## Summary A local file with the same name as a WebDataset member can replace the embedded image. When an `Image` dictionary supplies both a relative archive label and bytes, the encoder can discard the bytes if the label happens to resolve to a file in the working directory. Keep the relative label and the sup...
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value:Fixes #8980. Adding a column to an Arrow-, pandas-, or Polars-formatted `IterableDataset` currently raises `TypeError` during iteration because the internal callback returns a dictionary. Perform this operation in batched Arrow format, append the new column without discarding the original columns, and restore th...
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value:### Describe the bug `IterableDataset.add_column()` fails during iteration after `with_format("arrow")`, `with_format("pandas")`, or `with_format("polars")`. Adding the column before selecting the format works. This prevents a streaming data preparation pipeline from adding metadata columns after it has selected...
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value:Combining iterable datasets can silently skip feature conversion or omit columns depending on the first source. For example, concatenating a source processed with `.map(..., features=features)` with a raw generator declaring the same `ClassLabel` produces integer labels from the first source and strings from the ...
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value:Fix IterableDataset.rename_columns with arrow, pandas and polars formats
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value:`IterableDataset.rename_column` / `rename_columns` crash during iteration when the dataset has a table format (`arrow`, `pandas`, `polars`). ```python from datasets import IterableDataset ds = IterableDataset.from_dict({"a": [1, 2, 3], "b": ["x", "y", "z"]}) list(ds.with_format("arrow").rename_column("a",...
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value:Fix mixed-type JSON fields with slashes in their names
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value:Fixes #8898 cc @lhoestq
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value:Fix Parquet compression disabled for all columns in structs containing media
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value:Fixes #8973 \get_parquet_column_options\ applied a single top-level \ equire_storage_embed\ result to every leaf under a struct field, disabling compression and dictionary encoding for non-media columns whenever a media feature was present. Compute the embed flag per leaf based on its own feature. This pull req...
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value:Fixes #8973 ### Context & Problem In #8674, Parquet writer options (`compression`, `use_dictionary`, `column_encoding`) were keyed by leaf path rather than top-level column names so nested struct/list fields would be compressed. However, `get_parquet_column_options` still checked `require_storage_embed` only a...
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value:### Describe the bug When a dataset contains a struct or dictionary column that includes an embedded storage feature (such as `Image`, `Audio`, `Video`, etc.) alongside non-media columns (such as text strings, integers, floats, or vectors), saving the dataset to Parquet via `to_parquet()` or `push_to_hub()` disa...
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value:Fix the eval loader for string sample ids
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value:The `eval` loader can't read Inspect logs whose sample ids are strings, which many tasks use (SWE-bench, GPQA, ...). Inspect names sample files `{sample_id}_epoch_{epoch}.json`, and `_sort_samples_key` calls `int()` on the id: ```python from datasets import load_dataset load_dataset("eval", data_files="swe_benc...
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value:docs: fix unecessary and atleast typos in tests
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value:Correct `unecessary` to `unnecessary` in test comments and `atleast` to `at least` in an assertion message.
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value:Document how to load Parquet files from the Dataset Viewer
value:2026-11-07T15:48:21Z
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value:Closes #3220. The Hub loading guide now shows where to find the Dataset Viewer’s **Auto-converted to Parquet** link and how to load one split from the conversion branch. The example uses the same CSV dataset already introduced in the guide and links to the Hub documentation for partial conversions and API access...
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value:Respect parent struct nulls when embedding media storage
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value:Saving a dataset containing a null struct can try to read media paths hidden beneath that null. Arrow child arrays may retain values under a null parent; those values are not part of the logical dataset. If a hidden path does not exist, `save_to_disk` raises `FileNotFoundError` even though the corresponding datas...
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value:Fix map with num_proc failing on a cache hit when suffix_template has a custom rank format
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value:## Summary Fixes #8967 `Dataset.map(num_proc=...)` with a `suffix_template` whose rank field is not exactly `{rank:05d}` (for example `_{rank:03d}_of_{num_proc:03d}`) worked on the first run, then raised `ValueError: Unknown format code 'd' for object of type 'str'` on every rerun that loaded all shards from th...
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value:map(num_proc=...) crashes on a cache hit when suffix_template uses a rank format other than {rank:05d}
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value:### Describe the bug `Dataset.map` with `num_proc` and a custom `suffix_template` works the first time, but every rerun that loads all shards from the cache raises `ValueError: Unknown format code 'd' for object of type 'str'`. Only the default `{rank:05d}` works. `Dataset.filter` has the same `suffix_template` ...
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value:Fix batch(by_column=) merging groups that are separated by null values
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value:## Summary Fixes #8965 `Dataset.batch(by_column=...)` and `IterableDataset.batch(by_column=...)` treated a null key as equal to its neighbours, so different groups were merged into one batch. Keys `[1, None, 2]` gave a single batch. A key column with only nulls raised `ArrowNotImplementedError`. Now a null is i...
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value:batch(by_column=...) merges different groups when the key column contains nulls
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value:### Describe the bug `Dataset.batch(by_column=...)` and `IterableDataset.batch(by_column=...)` treat a null key as equal to its neighbours, so rows from different groups end up in the same batch. A key column that contains only nulls raises instead. ### Steps to reproduce the bug ```python from datasets import...
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value:Fix audio array tensor conversion with torch formatting
value:2026-11-06T17:18:36Z
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value:## Description Fixes #8755 — Audio arrays remain NumPy arrays when using PyTorch formatting. ### Changes made - Updated the TorchCodec audio decoder to support returning PyTorch tensors. - Updated `TorchFormatter` to convert Hugging Face audio decoder output to PyTorch-compatible output. - Preserved existing Nu...
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value:Fix Spark working_dir, tenbin infinite loop, HF auth host check, missing aiohttp and Harbor errors
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value:I read through the repo and found a handful of small bugs. I reproduced each one before writing a fix. They're independent, so I can split this into separate PRs if that's easier to review. ### `http(s)://` data files fail on a clean install fsspec's `HTTPFileSystem` needs `aiohttp`, but `aiohttp` is only in th...
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value:Fix : 3D format detection when texture files outnumber models
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value:Closes #8956 ### Summary - Prioritize 3D dataset detection when a repository contains mesh files alongside image textures. - Prevent image textures from causing a 3D dataset to be incorrectly detected as an `imagefolder`. - Preserve the existing format-selection behavior for other formats. ### Tests - `python -...
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