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Refactor README.md by removing HTML elements
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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. 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 use Arrow's canonical `arrow.fixed_shape_tensor` extension, and shapes with unknown dimensions (or an explicit `ndim`) use the ...
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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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Better error when a column written as null gets values in a later batch
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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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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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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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fix: Normalize negative indices in Dataset.select to fix OverflowError
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## Description Dataset.select raised OverflowError for negative indices like -1, even though they are valid (e.g., -1 means last element). The issue was that pyarrow's uint64 array can't hold negative values. The fix normalizes negative indices to positive ones after validation but before converting to pyarrow array....
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fix: Add per-element validation to ClassLabel.str2int and int2str
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## Description ClassLabel.str2int and int2str were validating only the container (the list), not the elements inside it. This caused silent failures: - `str2int([1])` returned `[1]` instead of raising ValueError - `int2str([1.7])` returned `['pos']` (truncated float) instead of raising ValueError ## Fix 1. **str2in...
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fix: Remove double-wrapping of storage_options in xPath.glob
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## Description The `xPath.glob` method was double-wrapping storage_options when calling `url_to_fs`. The `_prepare_path_and_storage_options` function already returns storage_options keyed by protocol (e.g., `{protocol: options}`), but the code was re-wrapping it as `{protocol: {protocol: options}}`, causing fsspec t...
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Fix docstring argument names that don't match signatures
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Three docstrings document parameters that don't exist on the function, so the rendered docs advertise arguments that raise `TypeError`. | Location | Documented | Actual signature | |---|---|---| | `Dataset.train_test_split` | `train_cache_file_name`, `test_cache_file_name` | `train_indices_cache_file_name`, `test_indi...
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docs: relabel directional classes on horizontal flips
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Fixes huggingface/datasets#8522 ## Summary - Add a semantic segmentation section on swapping left/right class IDs during horizontal flips - Show a NumPy-only `set_transform` recipe for the human parsing dataset - Mention AlbumentationsX as an optional path with license notes ## Test plan - [x] Docs reviewed locally; ...
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Fixes huggingface/datasets#5354 ## Summary - Replace `list[PathLike]` with `Sequence[PathLike]` in `from_csv`, `from_json`, `from_parquet`, and `from_text` signatures ## Test plan - [x] Type-only change; no runtime behavior change
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fix: accept pathlib.Path in save_to_disk and load_from_disk
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Fixes huggingface/datasets#6829 ## Summary - Convert path-like arguments with `os.fspath` before `url_to_fs` in Dataset, DatasetDict, and `load_from_disk` - Add regression test for `pathlib.Path` round-trip ## Test plan - [x] Added `test_save_and_load_from_disk_with_pathlib`
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docs: clarify create dataset tutorial structure
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Fixes huggingface/datasets#5805 ## Summary - Cross-link file and folder builders with the loading guide - Clarify in-memory vs file-based dataset creation paths - Link to the repository structure guide ## Test plan - [x] Docs links reviewed locally
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docs: surface repository structure guide earlier in docs
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Fixes huggingface/datasets#5971 ## Summary - Add repository structure to the Tutorials section in the docs navigation - Link the guide from the docs index and quickstart ## Test plan - [x] Docs navigation and links reviewed locally Made with [Cursor](https://cursor.com)
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docs: expand performance guidance in cache guide
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Fixes huggingface/datasets#2494 ## Summary Expanded the **Improve performance** section in `docs/source/cache.mdx` with three practical guides: - **Maximize iteration speed** - in-memory loading, `num_proc`, batched `.map()`, caching - **Minimize RAM usage** - streaming, column selection, cache cleanup - **Minimize di...
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8,544
Fix double-wrapped storage options in xPath.glob
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Fixes #8543 ### Root cause `_prepare_path_and_storage_options` returns storage options already keyed by protocol. That contract is stated in the docstring of `_prepare_single_hop_path_and_storage_options` ("Storage options are formatted in the form {protocol: storage_options_for_protocol}") and applied just before it...
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xPath.glob passes double-wrapped storage options to url_to_fs
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### Describe the bug `xPath.glob` adds a second protocol key to the storage options before passing them to `url_to_fs`, so fsspec receives `https={'https': {...}}` instead of `https={...}`. `_prepare_path_and_storage_options` already returns them protocol keyed, and the docstring of `_prepare_single_hop_path_and_stor...
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feat(features): add BioSequence and BioStructure decodable features
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Adds two decodable feature types that store a biological file as bytes and decode it to the biopython object the format describes. | Type | Module | `decode_example` returns | Serves | |---|---|---|---| | `BioSequence` | `features/bio_sequence.py` | `Bio.SeqRecord.SeqRecord` | FASTA #7923, FASTQ #7924, GenBank #7951 |...
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Actually drop malformed splits in DatasetInfo._from_yaml_dict
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`DatasetInfo._from_yaml_dict` logs "Ignoring part of dataset_info from the dataset card" but does not ignore it. The `except ValueError` added in #8462 leaves the raw value in `yaml_data`, and `splits` is a field name, so the next line still passes it to the constructor: ```python if yaml_data.get("splits") is not Non...
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Fix language name for ISO code 'blk' (#8505)
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The `blk` entry listed "Pa'o Karen; Pa'O". Per the request from a native speaker in #8505, "Karen" is an external administrative classification rather than a self-designation, so the entry now uses the self-identified name "Pa'O".
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Apply the bit-vs-byte suffix rule to the binary size units
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### Symptom `convert_file_size_to_int()` treats a lowercase trailing `b` as bits and divides by 8, but only for the decimal units. The binary units ignore the suffix entirely: ```python >>> from datasets.utils.py_utils import convert_file_size_to_int >>> convert_file_size_to_int("1Gb") # gigabit, correct 125000000...
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Fix batched JSON record export
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Fix Dataset.to_json(lines=False) when records are written in multiple batches.
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JPEG XL support
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It seems that the dataset don't support JXL natively in the same ways as e.g. PNG and JPEG are supported. A JPEG XL is supported by an international ISO standard, gives great compression ratios, finally supports lossless for JPEG and the browser support is now starting to get wide spread (safari has it for some time ->...
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Fix broken markdown link to audio_load guide
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## What Fixed a stray closing bracket in about_mapstyle_vs_iterable.mdx that broke the markdown link to the audio_load guide. ## Why A small, objectively-verifiable improvement (broken-link) found during a daily open-source maintenance pass (2026-08-30). ## How verified Read the source line, confirmed the audio link ...
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Validate delimiter and repeated column_names in ConllConfig
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### The bug Two `ConllConfig` arguments reach low-level code before anything validates them, so the resulting error never mentions the argument that is wrong. Both arrive wrapped in `DatasetGenerationError: An error occurred while generating the dataset`: ```python load_dataset("conll", data_files=path, column_names=...
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Validate on_bad_files in the parquet and vortex configs
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### The bug `ParquetConfig` and `VortexConfig` declare `on_bad_files: Literal["error", "warn", "skip"]` but never check it, and the code branches as `if "error" / elif "warn" / else`. Anything unrecognised lands in the permissive `else`. So a typo in the *strict* value silently selects the *least* strict behaviour: ...
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Validate sample_by in TextConfig
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### The bug `Text._generate_tables` branches on `sample_by` as `if "line" / elif "paragraph" / elif "document"` with no fallback, and `TextConfig` never validates the value. An unrecognised one therefore produces no rows at all, and the load fails much later on schema inference: ```python load_dataset("text", data_fi...
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Do not fail all of test_file_utils when zstandard is not installed
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### The problem `tests/test_file_utils.py` imports `zstandard` at module level, so without it installed the entire file fails to collect: ``` ERROR tests/test_file_utils.py E ModuleNotFoundError: No module named 'zstandard' !!!!! Interrupted: 1 error during collection !!!!! ``` 136 tests are lost, almost none of w...
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Split the torch assertions out of test_dataset_to_iterable_dataset
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### The problem `test_dataset_to_iterable_dataset` fails when torch is not installed: ``` FAILED tests/test_arrow_dataset.py::test_dataset_to_iterable_dataset E ValueError: PyTorch needs to be installed to be able to return PyTorch tensors. ``` torch is an optional dependency, so running the suite without it is a ...
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Skip test_interleave_dataset_with_sharding when torch is not installed
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### The problem `test_interleave_dataset_with_sharding` imports `torch.utils.data` and calls `.with_format("torch")`, but it is the only torch-using test in `tests/test_iterable_dataset.py` without `@require_torch`. Without torch installed it fails rather than skipping: ``` FAILED tests/test_iterable_dataset.py::test...
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Reject a repeated column name in Dataset.remove_columns
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### The bug `Dataset.remove_columns` does not deduplicate its argument, so a repeated name deletes the same feature twice: ```python d = Dataset.from_dict({"a": [1, 2], "b": ["x", "y"]}) d.remove_columns(["a", "a"]) # KeyError: 'a' ``` The second `del dataset._info.features[column_name]` raises a bare `KeyError`, wi...
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Allow swapping column names in IterableDataset.rename_columns
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### The bug Two problems in `_rename_columns_fn`, both in the clash check. **Swapping two names is refused.** The check rejects any new name that is already a column, without noticing that the same mapping renames that column away: ```python it = Dataset.from_dict({"a": [1, 2], "b": ["x", "y"], "c": [1.0, 2.0]}).to_...
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Reject an unknown input_columns in IterableDataset.map and filter
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### The bug `input_columns` naming a column that does not exist is not checked on `IterableDataset`. The name is only looked up while iterating, so the call that is actually wrong succeeds and the failure arrives later, detached from its cause: ```python it = Dataset.from_dict({"a": [1, 2], "b": ["x", "y"]}).to_itera...
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Reject a negative n in IterableDataset.skip and take
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### The bug `IterableDataset.skip` and `take` silently treat a negative `n` as zero: ```python it = Dataset.from_dict({"a": [1, 2, 3, 4]}).to_iterable_dataset() list(it.skip(-1)) # [{'a': 1}, {'a': 2}, {'a': 3}, {'a': 4}] -- the whole dataset list(it.take(-1)) # [] -- noth...
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Reject an unknown column when removing columns from an IterableDataset
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### The bug Removing a column that does not exist is silently ignored on `IterableDataset`, through either entry point: ```python it = Dataset.from_dict({"a": [1, 2], "b": ["x", "y"]}).to_iterable_dataset()._resolve_features() list(it.remove_columns(["nope"])) # [{'a': 1, 'b': 'x'}, ...] -- nothin...
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Return None for a null row of a dynamic-shape ArrayXD column
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`ArrayExtensionArray.to_pylist` builds the python values from `to_numpy`, where a null row is a bare `np.nan`. That is fine for the numpy format but not for the python one, and the guard added in #8363 only covered a fixed first dimension. So for a column like `Array2D(dtype="int32", shape=(None, 2))` with a `None` ro...
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disallow hdf5 external links
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Docs proposal: relabel left/right segmentation classes during horizontal flips
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2026-09-02T03:48:31
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### Feature request Would you be open to a self-contained documentation recipe showing how to relabel directional semantic classes during a horizontal flip? It could be a separate section in [`docs/source/semantic_segmentation.mdx`](https://github.com/huggingface/datasets/blob/main/docs/source/semantic_segmentation.md...
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