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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...
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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 ...
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Long lock filenames do not provide mutual exclusion across Python processes
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### 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...
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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('...
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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 ...
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Fix remote dataset loads after earlier downloads
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## Summary When datasets are stored in nested remote directories, loading a child directory first can make loading its parent fail with `FileNotFoundError` for `state.json`. Reloading a remote dataset after its contents change can also return the previous rows. Each load now gets a fresh directory inside the managed ...
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Apply the bit-to-byte conversion to binary units too
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`convert_file_size_to_int` already distinguishes bits from bytes: a unit ending in a lowercase `b` is read as bits and divided by 8. That check is only applied to the decimal branches, though, so the binary ones return a bit size as if it were bytes, eight times larger than asked for: ```python >>> from datasets.utils...
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Pin UTF-8 encoding when reading eval sample logs
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## Problem The `eval` packaged module reads sample log JSON files with the locale's preferred encoding: ```python for sample_file in sample_files: with open(sample_file) as f: sample = json.load(f) ``` On Windows with a non-UTF-8 locale (e.g. cp936/GBK), any sample containing non-ASCII text — CJK prompts...
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Fix IterableDataset.filter() with no function
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`list(dataset.filter())` raises `TypeError` because the iterator tries to call `None`. The documented default is to keep all rows. Return a new dataset wrapper when no function is supplied. Returning a new object, rather than `self`, keeps changes to its epoch from affecting the input dataset. Tests cover the def...
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Fix map(drop_last_batch=True) returning the input unchanged when all batches are dropped
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Fixes #8386. When `drop_last_batch=True` and a shard is smaller than `batch_size`, `_map_single` iterates zero batches, so the map function never runs and `update_data` stays `None`. The final branch then yielded the original shard back unchanged (3 rows instead of 0), disagreeing with `IterableDataset.batch` and `Dat...
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Support class encoding list-valued columns
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Fixes #6267 class_encode_column currently rejects list-valued columns even when the feature is List(Value(...)). That makes multi-label datasets fall back to manually collecting labels and calling cast_column. This change accepts List(Value(...)) columns, collects class names from the list elements, and maps each ele...
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## Description When `set_pytorch=True` is passed to `temp_seed`, the context manager saves and restores the PyTorch CPU and CUDA RNG states. On non-CUDA accelerators (e.g. Ascend NPU), the device RNG state is silently left unseeded during the context, breaking reproducibility across seeded dataset transforms. This PR...
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Forward Dataset.cast arguments from DatasetDict.cast
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## What `DatasetDict.cast` now accepts the same processing arguments as `Dataset.cast` (`batch_size`, `keep_in_memory`, `load_from_cache_file`, `writer_batch_size`, `num_proc`) plus `cache_file_names` as a per-split dict, and forwards them to each split. ## Why `Dataset.cast` runs through `map` and exposes these kno...
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Follows the discussion on #8558. Separate PR because that one fixes call sites in the builders and this fixes the writer itself, so they can be reviewed or reverted independently. @lhoestq happy to fold them together if you would rather have one change. Line numbers below are against `main`. ## The problem `finalize...
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Convert a dense ArrayXD column in one pass instead of per row
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Towards #4964. This reduces the construction overhead rather than removing it, and the numbers below say by how much. ### What is slow Building a `Dataset` from a whole ndarray converts it row by row and then concatenates. On this machine, 3200 rows of 64x64 float32, a 50 MB payload: | | peak RSS over baseline | rat...
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Closes #4352. ### The problem When a `map()` function returns values that do not match the declared features, the error never says which column is at fault. On a wide dataset that leaves you bisecting your own function to find it. Measured on `main`, all four mismatch shapes: | case | before | |---|---| | declared ...
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Document the formatter dtype coercion and pin it with tests
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Closes #5517. ### What users hit A column stored as `float64` comes back as `float32`: ```python >>> ds = Dataset.from_dict({"v": [[3.141592653589793, 1e300]]}, ... features=Features({"v": List(Value("float64"))})) >>> ds.with_format("numpy")[0]["v"] array([3.1415927e+00, inf], dtype...
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Add HF_DATASETS_USE_SOFT_FILELOCK for filesystems without OS-level locking
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Closes #6744. ### The problem `load_dataset` takes cache locks through `filelock`, which uses `flock`/`fcntl`. Some network filesystems do not implement those calls, so the lock fails and the dataset never loads. The reporter hit this on an NFS-mounted Weka mount. Moving `cache_dir` to local disk is not a way out, be...
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FileLock wrapper drops timeout and every other constructor argument
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### Describe the bug `datasets.utils._filelock.FileLock` silently discards every keyword argument except `lock_file`. Passing `timeout=` has no effect, and `is_singleton=True` raises instead of returning the cached lock. The wrapper declares a variadic signature: ```python # src/datasets/utils/_filelock.py def __ini...
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Automated hardening of the workflow files flagged on #8635. > [!WARNING] > **This narrows what the workflow can reach.** Job permissions were declared in `.github/workflows/ci.yml`, `.github/workflows/release-conda.yml`. Each job now gets only the scopes its steps were read to need — if one of them does something this...
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Bumps the actions group with 7 updates: | Package | From | To | | --- | --- | --- | | [huggingface/doc-builder/.github/workflows/build_main_documentation.yml](https://github.com/huggingface/doc-builder) | `90b4ee2c10b81b5c1a6367c4e6fc9e2fb510a7e3` | `47c6b5880f408881e68ca60fed8c1de1e454eb01` | | [huggingface/doc-build...
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Fixes #6829. ### Problem Calls passing `pathlib.Path` objects (e.g. `ds.save_to_disk(Path(...))`, `Dataset.load_from_disk(Path(...))`, `DatasetDict.load_from_disk(Path(...))`, `DatasetInfo.from_directory(Path(...))`) fail with `TypeError: argument of type 'PosixPath' is not iterable` from `fsspec` because `url_to_fs` ...
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fix(io): accept pathlib.Path in load_from_disk and save_to_disk
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url_to_fs expects a str and raises an error when given a pathlib.Path. This was a regression introduced in #6704, which changed load_from_disk and save_to_disk to use url_to_fs directly without converting Path to str. Fix: wrap dataset_path with str() before passing to url_to_fs in both load_from_disk and save_to_di...
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fix default iterable dataset dict and polars exports
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Fixes #8381. Picks up #8382 after [the original author handed it over](https://github.com/huggingface/datasets/issues/8381#issuecomment-5675668289). The original fix is by @ebarkhordar. `to_dict()` and `to_polars()` return generators even with `batched=False`, because both methods contain a `yield` in their batched br...
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8,631
Validate ClassLabel values during table casts
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Fixes #8596. Validate `ClassLabel` values during table casts while keeping the metadata-only path for other features.
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Make two test comparisons actually assert
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Two tests evaluate a comparison and throw the result away, so those checks can never fail. **`tests/test_builder.py::test_builder_as_dataset`**: `dataset.column_names == ["text"]` is missing its `assert`. **`tests/commands/test_test.py::test_test_command`**: the loop over `DatasetInfo._INCLUDED_INFO_IN_YAML` ends in ...
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Close owned event loops and settle async map tasks
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`Dataset.map()` creates an event loop for an async callback but never closes it. When a callback fails, gathering the cancelled tasks can also propagate the first failure before sibling callbacks finish their asynchronous cleanup. Move task cleanup into `finally`, wait for all tracked tasks with `return_exceptions=T...
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Skip tar-symlink extraction test when symlinks are unavailable
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## What `tests/test_extract.py::test_tar_extract_insecure_files` errors in setup on an unprivileged Windows machine: ``` OSError: [WinError 1314] A required privilege is not held by the client ``` The `tar_file_with_sym_link` fixture calls `os.symlink(...)` unconditionally, and the test requests all three tar fixtur...
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Fix probabilistic interleave of empty sources without replacement
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Fixes #8626. When probabilistic `interleave_datasets` uses `all_exhausted_without_replacement`, an empty source starts as not exhausted. Its first draw appends an invalid source offset, producing a duplicate row from the next dataset or an `IndexError` when the empty source is last. Mark empty sources exhausted initi...
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Probabilistic interleave without replacement samples empty datasets
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### Describe the bug With probabilities and `stopping_strategy="all_exhausted_without_replacement"`, an empty map-style input can add a duplicate row from another source or cause an out-of-range index. This can happen when filtering one of the datasets before mixing them. ### Steps to reproduce ```python from datase...
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CSOAI — Datasets interop: data governance
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Withdrawn. No action is requested from this project.
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CSOAI — Datasets interop: data governance
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Withdrawn. No action is requested from this project.
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CSOAI — HuggingFace Datasets AI governance
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Withdrawn. No action is requested from this project.
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Removed HTML content and updated the README structure.
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Fix docstring argument names that don't match the signatures
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Five public docstrings document parameters under names the functions don't accept, so code written from the docs fails with `TypeError: got an unexpected keyword argument`: | Function | Docstring says | Signature has | |---|---|---| | `Dataset.train_test_split` | `train_cache_file_name`, `test_cache_file_name` | `trai...
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Keep origin_metadata aligned in DataFilesList.filter
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## Summary Fixes #8618. `DataFilesList.filter()` returns a filtered list of data files but reuses the original, unfiltered `origin_metadata`. `origin_metadata` is parallel to the file list (one entry per file describing where the file was resolved from), so after filtering it no longer lines up with the files it desc...
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Fix SplitDict.copy() crashing when dataset_name is None
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## Summary Fixes #8617. `SplitDict.copy()` crashes with `AttributeError: 'SplitInfo' object has no attribute 'get'` whenever the `SplitDict` holds `SplitInfo` objects (the normal case after construction) and `dataset_name` is not passed explicitly. In `SplitDict.from_split_dict`, the `dataset_name` fallback uncondit...
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`DataFilesList.filter()` leaves `origin_metadata` misaligned with the filtered files
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## Description `DataFilesList` keeps `origin_metadata`, a list parallel to the file list where each entry describes the origin of the file at the same index (e.g. the data files pattern it was resolved from). After `filter()` removes some files, the returned `DataFilesList` keeps the *unfiltered* `origin_metadata`, so...
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`SplitDict.copy()` crashes when `dataset_name` is not set
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## Description `SplitDict.copy()` (and `SplitDict.from_split_dict`) crashes with `AttributeError: 'SplitInfo' object has no attribute 'get'` whenever the split dict contains `SplitInfo` objects and `dataset_name` is `None`. ## Reproduction ```python from datasets import SplitDict, SplitInfo split_dict = SplitDict({...
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test(utils): add unit test suite for dataset repository path and name sanitization
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### Summary Adds focused unit tests in `tests/test_dataset_name_invariants.py` verifying repository path identifier parsing: - Confirms organization namespace and dataset name separation. - Validates clean fallback handling for unnamespaced identifiers. - Non-invasive, test-only addition.
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Publish extraction caches atomically so concurrent jobs never read partial output
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Resolves #4661 ## Root cause `ExtractManager.extract` decided "already extracted" (output file exists, or output directory non-empty) **before** `Extractor.extract` took the per-output `FileLock`, and the extractor wrote straight into the final path. With two jobs sharing a cache directory, job B saw job A's half-wri...
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Fingerprint functions from the user's own modules by value
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Resolve a legacy dataset name to its canonical repo id
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`load_dataset("imdb")` dies with an `HfUriError` about a `.huggingface.yaml` nobody asked for, and so do `squad`, `glue`, `rotten_tomatoes`, `ag_news`, `cnn_dailymail`, `mnist` and `wikitext`. The Hub still redirects these names, so the first half of the load works: `hf_hub_download(repo_id="imdb", ...)` returns the c...
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load_dataset on a dataset name with no namespace raises HfUriError
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`load_dataset` on a dataset name with no namespace fails at HEAD and on 5.0.1: ```python >>> from datasets import load_dataset >>> load_dataset("imdb", split="train[:5]") ... File "src/datasets/load.py", line 609, in get_module standalone_yaml_path = cached_path( File "src/datasets/utils/file_utils.py", line 1...
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Send map workers only their shard's rows instead of the whole table
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Resolves #1992 ## Root cause `Dataset.map(num_proc>1)` shards the table with Arrow slices (`table.slice`), and Arrow slices share their parent buffers. When a shard is pickled for a worker, `InMemoryTable.__getstate__` serializes the sliced arrays' full buffers, so every worker receives the whole table. A 2-process m...
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Pickle nonimportable Enums so Dataset.map(num_proc>1) and hashing work
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Resolves #2643 ## Root cause `dill` serializes a class it cannot import by its module path through `_create_type`, which rebuilds the class from `type(name, bases, dict)`. That path cannot rebuild an `Enum`: the members, `_value2member_map_`, aliases, Flag boundary and slot descriptors are produced by `EnumMeta.__new...
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Write pushed features to card when re-pushing a split
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Fixes #8608. `_get_updated_dataset_card` updates the splits and sizes of the existing `dataset_info` when a config is re-pushed, but never assigns the pushed `features` to it. Re-pushing a dataset's only split with different columns therefore leaves the card declaring the previous schema while the shards hold the...
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`push_to_hub()` keeps stale `dataset_info.features` when re-pushing a single split with different columns
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### Describe the bug Re-pushing a dataset's only split with different columns updates the shards and the split sizes in the README, but silently keeps the **old** `dataset_info.features`. The card then declares a schema the parquet files no longer have, and the dataset viewer fails on the first batch with `CastError: ...
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docs: remove duplicate 'to' in push_to_hub instructions
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Tiny docs fix: remove duplicate `to` in the Dataset push_to_hub save instructions.
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Fix PandasArrayExtensionDtype comparison against strings
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## Summary Implement `construct_from_string` on `PandasArrayExtensionDtype`: parse `array[<dtype>]` into a `PandasArrayExtensionDtype`, and raise `TypeError` for anything else (how pandas spells "not my dtype" in `__eq__`). Provenance: pandas extension-dtype docs, and the reproduction on `main` in #8467 (pandas 3.0.5)...
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Restore `_legacy_no_dict_keys_sorting` so `_check_legacy_cache2` can find 2.15.0 caches.
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## Summary Restore the early return in `Pickler._batch_setitems` that honours `_legacy_no_dict_keys_sorting`, keeping the `*args` / `**kwargs` passthrough from `#7817`. `#7817` updated `Pickler._batch_setitems` for Python 3.14's extra argument and, in the same hunk, dropped that return. `_check_legacy_cache2` still pa...
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Recover from invalid list offsets produced by the pyarrow JSON reader
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Resolves #5531 ## Root cause The invalid Arrow data comes from pyarrow's JSON reader, not from `datasets`: when a list column's first non-empty value in a block starts with `null` (e.g. `{"a": [null, 1]}`), type inference can drop the leading null while the offsets still count it, so the table's list offsets span mor...
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Add a Tensor feature for arrays with fixed or dynamic shapes
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Resolves #7738. Closes #887 (dynamic leading dimensions, e.g. `Tensor(shape=(None, 137, 2))`, with `to_pandas` and `map` covered by the tests). This adds a `Tensor(shape, dtype)` feature for multi-dimensional arrays whose dimensions can vary from row to row, following the direction discussed in the issue: fixed shapes...
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Key the doc build concurrency group on the pull request number
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## What does this PR do? `build_pr_documentation.yml` keys its concurrency group on `github.head_ref`, which is the head branch name without the fork owner. Two open PRs from different forks whose branches share a name therefore land in the same group, and a push on one cancels the in-flight doc build on the other. S...
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Add append=True to push_to_hub for incremental dataset updates
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Resolves #6290. `push_to_hub` replaced every shard of a split on each call, so growing a dataset meant re-uploading all of it. This adds `append=True` to `Dataset.push_to_hub` and `DatasetDict.push_to_hub`, following the approach discussed in the issue: download the last Parquet shard of the target split, copy its row...
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Decode BioSequence and BioStructure records with universal newlines
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`BioSequence.decode_example` and `BioStructure.decode_example` wrap the stored bytes in `StringIO` with its default newline handling, which only splits on `\n`. A record with bare-CR line endings therefore reaches Biopython as one line: FASTQ fails with "Unexpected end of file", FASTA decodes to an empty sequence, and ...
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[httpx migration] Import httpx from huggingface_hub, require huggingface_hub>=1.31.0
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Direct httpx imports will break when huggingface_hub migrates to httpx2. This updates them to use the compatibility re-export introduced in https://github.com/huggingface/huggingface_hub/pull/4803, following the migration plan in https://github.com/huggingface/huggingface_hub/issues/4802. Goal is to make datasets compa...
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Fix decode(num_threads) busy-poll: bridge ThreadPool results to asyncio with callbacks
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Fixes #8595. `_apply_async` polled `future.ready()` in an `await asyncio.sleep(0)` loop. With the in-flight cap at `2 * num_threads`, that many hot loops keep the event loop thread holding the GIL, starving the ThreadPool threads it is waiting on — in stack dumps a pool worker took 45+ seconds to get through `ssl.crea...
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load_dataset silently accepts out-of-range ClassLabel indices when the source dtype already matches
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### Describe the bug Loading a file whose parsed Arrow dtype already matches a declared `ClassLabel`'s storage type (`int64`) skips the range check entirely. Out-of-range indices load with no error and no warning, and only surface later at `int2str` time or as silently wrong labels during training. ```python from dat...
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IterableDataset.decode(num_threads) busy-polls its ThreadPool futures, starving the decode threads — 0 rows on remote audio; callback-based bridging restores the intended 20x
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### Describe the bug `decode(num_threads=N)` (added in #7450, "speeds up streaming up to 20 times") schedules the sync `decode_example` calls onto a `multiprocessing.pool.ThreadPool` and bridges them into the async map machinery with a busy-poll (`iterable_dataset.py`): ```python async def _apply_async(pool, func, x...
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Forward max_buffer_input_shards from IterableDatasetDict.shuffle
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## What breaks `load_dataset(..., streaming=True)` without a split returns an `IterableDatasetDict`, and shuffling it cannot reach the shard-interleaving control: ```python ds = load_dataset("HuggingFaceFW/fineweb", streaming=True) ds = ds.shuffle(seed=42, buffer_size=10_000, max_buffer_input_shards=4) # TypeError: I...
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Preserve dataset metadata when map recombines shards
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Fixes #5967. When `Dataset.map()` recombines multiple shards, it drops the source split. It also loses metadata such as `config_name` when the shards infer different compatible features (for example, a new column is null throughout the first shard and integer-valued in the second). Pass a copy of the source info and ...
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fix(typing): Use Sequence instead of List for path_or_paths type annotations
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This fixes mypy errors when passing list of paths to `Dataset.from_parquet()`, `from_csv()`, `from_json()`, `from_text()`, and `IterableDataset` equivalents. **Problem**: `List` is invariant while `Sequence` is covariant, so passing a `List[str]` to a function expecting `Union[PathLike, List[PathLike]]` fails type che...
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On #2831 the map still fails at HEAD, as `TypeError: Couldn't cast array of type double to null` now rather than `ArrowInvalid`. Your 2021 comment on that issue has the mechanism and both workarounds; the error itself says none of it. So this does not change what the writer accepts. Before the cast, `ArrowWriter` now ...
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record_checksums default changed True -> False in 4.8.5, not in the release notes
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### What changed Between 4.8.4 and 4.8.5, checksum recording flipped from on to off by default in two places. From the sdists: ``` 4.8.4 src/datasets/download/download_manager.py:80 record_checksums=True 4.8.5 src/datasets/download/download_manager.py:80 record_checksums=False 4.8.4 src/datasets/utils/info_ut...
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Advance the user-supplied generator in Dataset.shuffle even on cache hits
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Fixes #7127. When a `np.random.Generator` is passed to `Dataset.shuffle`, the indices cache lookup returns before `generator.permutation(...)` is called, so the caller's generator never advances on a cache hit. Because the fingerprint is derived from the generator's state, the next call recomputes the same fingerpri...
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Let TranslationVariableLanguages encode without declared languages
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### What is wrong `TranslationVariableLanguages` declares `languages` as optional, but building one without it makes every example fail to encode. ```python >>> from datasets import Dataset, Features >>> from datasets.features.translation import TranslationVariableLanguages >>> TranslationVariableLanguages().encode_e...
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Preserve formatting selections when flattening nested columns
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## What this changes I've fixed `flatten()` losing a selected struct's formatted columns. Its old name stays in the selection after flattening, so indexing can return an empty batch instead of the selected values. The fix flattens the selected features alongside the schema. It keeps unselected descendants excluded an...
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Accept a single string for metadata_filenames in folder builders
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### The bug `metadata_filenames` is only ever used as a membership test: ```python metadata_filenames = self.config.metadata_filenames or self.METADATA_FILENAMES ... elif os.path.basename(original_file) in metadata_filenames: ``` If it is a bare string rather than a list, `in` becomes a **substring** test: ```pytho...
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Reject a non-callable generator in GeneratorConfig
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### The bug `GeneratorConfig` checks that `generator` is not `None`, but not that it is callable. A wrong type is only discovered during generation: ```python Dataset.from_generator([{"a": 1}]) ``` ``` DatasetGenerationError: An error occurred while generating the dataset caused by TypeError: 'list' object is not ...
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Fix the xml loader, which cannot load any file
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### The bug `load_dataset("xml", ...)` fails for **every** input: ```python open("a.xml", "w").write("<root><a>1</a></root>") load_dataset("xml", data_files="a.xml", split="train") ``` ``` DatasetGenerationError: An error occurred while generating the dataset caused by FileNotFoundError: [Errno 2] No such file or ...
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Keep every value of nested columns in Dataset.to_csv()
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`to_csv()` hands the Arrow batch to pandas, and pandas renders a list cell with numpy's repr. So it comes out space separated, and past numpy's summarization threshold of 1000 the middle is elided: a 1500-element list is written as `[ 0 1 2 ... 1497 1498 1499]` and 1494 values are gone. Struct columns and Array...
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fix(benchmarks): rename misspelled read_unformated* helpers to read_unformatted*
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`benchmarks/benchmark_array_xd.py` defines `read_unformated` / `read_batch_unformated` / `read_col_unformated` (all call sites internal to the file). Renamed to `read_unformatted` / `read_batch_unformatted` / `read_col_unformatted`.
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docs: drop duplicated 'a' in the HubBucketDatasetModuleFactory docstring
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`src/datasets/load.py`: "dataset loaded from data files of **a a** Storage Bucket" → "of a Storage Bucket". Docs-only.
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docs: point #map anchor links at the process guide
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`docs/source/about_map_batch.mdx` and `docs/source/stream.mdx` both link an in-page `#map` anchor, but neither file has a Map heading — the "Map" section lives in `docs/source/process.mdx` (`## Map`). Both links now target `/process#map` (doc-builder cross-file style).
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docs(builder): drop the stale verification_mode param from as_dataset's docstring
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`GeneratorBasedBuilder.as_dataset(self, split=None, in_memory=False)`'s docstring documents a `verification_mode` parameter (with an `<Added version="2.9.1"/>` tag). The parameter belongs to `download_and_prepare`, not `as_dataset`. The stale block is removed (the `download_and_prepare` docstring's own entry is untouch...
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docs(dataset): match train_test_split docstring params to the signature
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`Dataset.train_test_split`'s docstring documents `train_cache_file_name` and `test_cache_file_name`; the actual parameters are `train_indices_cache_file_name` and `test_indices_cache_file_name`. The two docstring entries renamed to match. Docs-only.
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Fix infinite repetition of empty iterable datasets
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Infinite repetition currently restarts an empty input indefinitely. For example, a streaming dataset filtered down to zero rows hangs in `dataset.repeat(None).take(1)` instead of finishing. The same problem affects an empty distributed shard and an Arrow input containing only zero-row tables. Stop infinite repetition ...
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Honor explicit Parquet compression and encoding options
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`Dataset.to_parquet(..., compression="gzip")` raises `TypeError: ParquetWriter() got multiple values for keyword argument 'compression'` on current main. Explicit `use_dictionary` and `column_encoding` options fail for the same reason: the writer supplies defaults as named arguments while leaving the caller's values in...
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Fix async map checkpoint accounting across repeated resumes
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Resuming an iterable dataset with an asynchronous map function works once, but a checkpoint captured during the resumed iteration can skip additional examples on the next resume. A deterministic identity coroutine over IDs 0–9, checkpointed after two outputs and again after one more output, produces `[0, 1, 2, 5, 6, 7,...
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docs: add EvalPort ResultSet example to nested-field JSON loading
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### What Adds a small worked example to the "nested field" JSON section of the loading guide (`docs/source/loading.mdx`), right after the existing `field="data"` example, showing the same mechanism applied to an eval/benchmark run's results file: ```py {"version": "1.1.0", "suite_id": "image-description-suite", "ru...
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Check the row count of every source when concatenating on axis=1
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Fixes #8572 A source with no rows still contributes its columns, so horizontal concatenation has to check its row count like any other source. The empty-source filter in `_concatenate_map_style_datasets` ran before the axis dispatch, so on `axis=1` a 0-row source was removed before the "Number of rows must match" che...
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concatenate_datasets(axis=1) drops the columns of a source with no rows instead of raising
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`concatenate_datasets([ds1, ds2], axis=1)` returns a dataset without `ds2`'s columns when `ds2` has 0 rows, and raises nothing. The row-count check that rejects every other length mismatch never runs. ### Steps to reproduce ```python from datasets import Dataset, Features, Value, concatenate_datasets ds1 = Dataset....
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docs: add Simplified Chinese translation (README.zh.md)
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# What does this PR do? Fixes #8570 This PR adds a comprehensive and high-quality Simplified Chinese translation of the project's README (`README.zh.md`) and establishes a seamless bidirectional language switcher in both English and Chinese documentation. ## Summary of Changes - **New File `README.zh.md`**: Fully a...
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[zh] Add Simplified Chinese translation for README
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### Motivation 🤗 Datasets is a fundamental library widely used by researchers, data scientists, and developers worldwide, with a large and active Chinese-speaking developer and research community. Providing an accurate, idiomatic Simplified Chinese translation (`README.zh.md`) along with a language switcher will gre...
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Shard the sources when skipping a distributed IterableDataset
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`SkipExamplesIterable.shard_data_sources` returned `self` when `split_when_sharding` is False, so a `.skip()` applied after `split_dataset_by_node` threw the sharding away and every rank iterated the whole dataset. `TakeExamplesIterable` already handles that branch by sharding the sources and leaving `n` alone, so this...
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skip() after split_dataset_by_node gives every rank the whole dataset
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### Describe the bug Calling `.skip()` on an iterable dataset that already went through `split_dataset_by_node` cancels the node split. Each rank then iterates every shard, so a distributed run sees each example `world_size` times. `SkipExamplesIterable.shard_data_sources` returns `self` when `split_when_sharding` is...
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Fix typo in guide template
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Fixes `repace` → `replace` in `templates/README_guide.md` (the template used to generate dataset guides, so the typo propagates). Docs-only change.
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Fix Pdf.decode_example raising TypeError on remote non-Hub paths
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`Pdf.decode_example` on a remote path outside the Hub raised before any download: ``` >>> Pdf().decode_example({"path": "https://example.com/a.pdf", "bytes": None}) TypeError: 'NoneType' object is not subscriptable # src/datasets/features/pdf.py:158 ``` `string_to_dict` returns `None` when the URL does not match th...
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Add a strategy argument to split_dataset_by_node for iterable datasets
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Closes #8253 by adding the explicit splitting-strategy argument that @lhoestq asked for in that thread. ```python split_dataset_by_node(ds, rank, world_size, strategy="auto" | "shards" | "examples") ``` - `"auto"`: unchanged. Shards are assigned when `num_shards % world_size == 0`, otherwise each node keeps one examp...
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Print the repr these feature examples actually produce
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### What breaks Four feature classes show a repr in their `Examples` block that they cannot print. ``` >>> ds.features["image"] Image(decode=True, id=None) ``` `Image`, `Pdf`, `Nifti` and `Video` all declare `id: Optional[str] = field(default=None, repr=False)`, so `id=None` never appears. On top of that `Image` has...
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Raise clear errors for missing folder metadata files
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## Summary - validate local files referenced by folder metadata during example generation - report both the missing file and the metadata file that references it - preserve lazy access for remote files ## Testing - `pytest -q tests/packaged_modules/test_folder_based_builder.py tests/packaged_modules/test_imagefolder...
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Keep the declared dtype for an empty column under numpy format
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Fixes #8469. Under numpy format a column holding zero rows came back as float32 no matter what dtype it was declared with, while the same column kept its dtype as soon as it held one row. pandas and arrow were unaffected. ```python feats = Features({"a": Value("int64")}) ds = Dataset.from_dict({"a": [1, 2, 3]}, featu...
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Bump fsspec upper bound to 2026.7.0
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## Summary - bump the fsspec upper bound from 2026.6.0 to 2026.7.0 - keep the existing minimum version unchanged Fixes #8560 ## Tests - python -m pytest -q tests/test_filesystem.py (8 passed, 2 skipped) - python -m pytest -q tests/test_file_utils.py tests/test_data_files.py tests/test_streaming_download_manager.py ...
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Bump fsspec to 2026.7.0
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Would it be possible to bump fsspec upper bound to 2026.7.0? Can open a PR!
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Fix the repeat docstring examples
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### What is wrong `Dataset.repeat`'s example calls `ds.take(2).repeat(2)`, which returns **four** rows, but the output printed under it has **six**: three distinct reviews, each twice. `IterableDataset.repeat` carries the same example, and its `load_dataset` call is missing `streaming=True`, so it builds a `Dataset` ...
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Close the Arrow writer when finalize() fails
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Fixes #6917. ## Root cause `_prepare_split_single` finalises the writer inside a `finally` block, in both builders (`builder.py:1558-1563` for `GeneratorBasedBuilder`, `builder.py:1864-1869` for `ArrowBasedBuilder`): ```python finally: yield job_id, False, num_examples_progress_update num_shards = shard_id +...
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8,557
Support JPEG XL images via pillow-jxl-plugin
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Fixes #8537. ## What - `.jxl` added to the `imagefolder` and `webdataset` image extensions. - `Image.decode_example` now imports the third-party Pillow plugins that are installed (`pillow_jxl` for now) before calling `PIL.Image.open`, via a small `_import_pil_plugins()` helper and a `config.PILLOW_JXL_AVAILABLE` flag...
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8,556
fix: Raise ValueError for batch_size <= 0 in Dataset.batch and IterableDataset.batch
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## Description `batch(0)` and `batch(-1)` silently returned the whole dataset instead of raising an error. This is dangerous because a batch_size computed at runtime that comes out as 0 (e.g., from an empty config or integer division) would silently return the entire dataset. The fix adds validation to both `Dataset....
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fix: Handle negative percent split boundaries correctly
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## Description When using negative percentages like `train[-1%:]`, the sign was lost after rounding. For example, -1% of 30 examples rounds to 0, so `train[-1%:]` would return the whole dataset instead of the last 1%. The fix converts negative percentages to their positive equivalents (`100 + from_%`) before rounding...
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