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8,858
Fix inverted split slices reading the rest of the split
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A split slice whose end falls one row before its start returns the rest of the split instead of nothing: ```python import pathlib, tempfile from datasets import load_dataset path = pathlib.Path(tempfile.mkdtemp()) / "data.csv" path.write_text("x\n" + "\n".join(map(str, range(10))) + "\n") print(list(load_dataset("csv...
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A TAR archive can contain consecutive members with the same name, such as two `00000.txt` entries with different contents. The WebDataset pipeline currently overwrites the first value and returns only the second without reporting that data was lost. This change raises `ValueError` before overwriting an existing field ...
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Preserve active iterators when reconfiguring threaded decoding
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Creating a new decoding view from a threaded `IterableDataset` currently shuts down the original dataset's decoding pool. If an existing iterator has prefetched examples queued behind active decoders, calling `ds.decode(False)` or changing its thread count cancels those examples. Continuing the original iterator then r...
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Fix duplicated word in FileLock umask comment
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A one-word comment typo in `src/datasets/utils/_filelock.py`: the comment reads "In previous **previous** it was already using the current umask", duplicating a word and dropping the noun. ```diff # The "mode" argument is required if we want to use the current umask in filelock >= 3.10 - # In previous ...
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Drop a leading UTF-8 BOM in the conll loader
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### What was wrong `load_dataset("conll", ...)` keeps a leading UTF-8 BOM. Because the BOM sits at the very start of the first line, it also defeats the two line-level checks (`skip_docstart` and `comment_prefix`), which compare the beginning of a line, so the first marker/comment line is turned into a data row: ```p...
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Drop a leading UTF-8 BOM in the text loader
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### What was wrong `load_dataset("text", ...)` keeps a leading UTF-8 BOM as part of the data: ```python import codecs import os import tempfile from datasets import load_dataset path = os.path.join(tempfile.mkdtemp(), "corpus.txt") with open(path, "wb") as f: f.write(codecs.BOM_UTF8 + b"hello\nworld\n") print(...
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Fix WebDataset feature inference with empty TAR shards
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Apply cast and cast_column below threaded decoding in IterableDataset
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Since #8791, streaming a media dataset from the Hub decodes it in worker threads by default, through the `map` step added by `IterableDataset.decode(num_threads=...)`. `cast` and `cast_column` only replaced `info.features` on top of that step, so they had no effect on decoding: * `cast_column("audio", Audio(sampling_r...
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cast_column / cast are ignored on streaming datasets decoded in threads (audio sampling_rate, decode=False)
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### Describe the bug Since #8791, `load_dataset(..., streaming=True)` decodes media in worker threads by default when the dataset is on the Hub. The threaded decoding is a `map` step created by `IterableDataset.decode(num_threads=...)`, so the examples coming out of the dataset are already decoded. `IterableDataset.c...
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Read string_to_dict fields by group name instead of position
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`string_to_dict` turns every `{field}` in the pattern into a named group `(?P<_field>.+)` and then reads the match with `result.groups()`, which is positional. Any other capture group in the pattern shifts the values, so `string_to_dict("train/alice", "(train|test)/{name}")` returns `{'name': 'train'}` instead of `{'na...
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Hide GPUs before spawning TensorFlow data workers
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`to_tf_dataset(num_workers=...)` can import a user's collator and initialize TensorFlow before `worker_loop` hides its GPUs. Hide GPUs in the spawn environment so initialization already uses the CPU, then restore the parent environment. Fixes #6948. Six new cases cover imported collators with eager TensorFlow initia...
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Restore packaged type information and public re-exports
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Restores packaged inline type information. The `py.typed` marker is included in the wheel and source archive and explicit aliases mark the existing public re exports. Annotating the `Features` constructor's variadic arguments as `Any` also lets ordinary dictionary inputs type check. Fixes #7390. Checked an installed...
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Copy existing tensors without a PyTorch warning
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Streaming `with_format("torch").map(...)` warns for every row when a transform returns tensors. Copy existing tensors directly while keeping dtype/device overrides, independent storage and leaf gradient settings. Fixes #7088. Added 18 regression cases, including batched maps. Formatting checks: 59 passed, 12 skipped...
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8,844
Warn once when resuming a shuffled dataset
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Repeated checkpoint restores can print the same shuffle-buffer warning thousands of times. This shows it once per process, including when several datasets are restored. Fixes #7444. Added four cases covering repeated restores and initial checkpoints, with checks on the returned rows. The iterable suite has 655 passes ...
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8,843
Fix mask resizing in the semantic segmentation guide
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The Torchvision example now resizes masks with nearest neighbor interpolation so it doesn't create new class labels. I also removed the old output image, which shows the incorrect mask boundaries. Fixes #6865. Checked the updated example with upscaling and downscaling, for single examples and batches. Class labels a...
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Include the config name when no data files are found
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When the first config in a README has no matching data files, the error now includes its name and the dataset path. This makes it easier to find the broken entry. Added tests for README and standalone YAML configs, Hub and bucket loaders and explicit file overrides. Fixes #6819. Tests: 302 local tests passed. lin...
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Handle UTF-8 BOMs in every JSON input file
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Follow up to #8243. Strip the UTF-8 BOM at the start of each JSON input file. Multifile loads with inferred or explicit `List(Json())` columns otherwise fail when a later file has a BOM. Adds eight regression cases covering inferred/explicit features and regular/streaming loads, including multiple batches and BOM ch...
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Fix indices buffer loading in Dataset.from_buffer
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`Dataset.from_buffer` reads the data buffer twice when `indices_buffer` is provided. this raises a type error for string columns and can silently return the wrong rows for uint64 data. Read the supplied indices buffer instead, with 8 regression cases covering empty, reordered and repeated indices, plus the no index cas...
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Create the table before the workers append in to_sql with num_proc
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`to_sql` with `num_proc > 1` hands every batch to the pool at once. The batch at offset 0 runs `DataFrame.to_sql` with `if_exists` as given (`"fail"` by default) and is meant to create the table; the later batches run with `if_exists="append"`, which also creates the table when it is missing. Whenever a later batch rea...
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to_sql with num_proc > 1 fails with 'table already exists' when a later batch reaches the database first
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### Describe the bug `Dataset.to_sql(name, con, num_proc=N)` with more than one batch fails with `table already exists` (sqlite: `(sqlite3.OperationalError) table t already exists`, or pandas' `ValueError: Table 't' already exists.`), and whether it fails depends on which worker reaches the database first. `SqlDatase...
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Refuse an iterable of bools as a row index instead of reading it as indices 0 and 1
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`Dataset.__getitem__` reads a list, tuple, numpy array or pandas Series of booleans as row indices: `_query_table` turns the key into integers with `np.fromiter(key, np.int64)`, so a mask becomes the rows 0 and 1, and the result is silently wrong. ```python >>> ds = Dataset.from_dict({"a": [10, 20, 30, 40, 50]}) >>> d...
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8,836
Indexing a Dataset with a list or array of bools silently returns rows 0 and 1
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### Describe the bug `Dataset.__getitem__` accepts a list, tuple, numpy array or pandas Series of booleans and reads it as integer row indices: every `True` becomes row 1 and every `False` row 0. No error is raised, and the result has the length of the mask, so it looks like a valid selection. The docstring says rows ...
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8,835
Write the encoding passed to to_csv
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`Dataset.to_csv(path, encoding="utf-16")` wrote UTF-8. `CsvDatasetWriter._batch_csv` hands the batch to pandas with `path_or_buf=None`, so pandas returns a `str` and never applies `encoding`; the writer then encoded that `str` with a hard-coded `"utf-8"`. The docstring points at `pandas.DataFrame.to_csv` for the keywor...
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8,834
Number the index across batches in to_csv and to_sql
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`to_csv(index=True)` and `to_sql(index=True)` wrote an index column that restarts at 0 in every batch: `CsvDatasetWriter._batch_csv` and `SqlDatasetWriter._batch_sql` convert each batch with `batch.to_pandas()`, which gives the batch a fresh `RangeIndex` from 0, and pandas writes that. With the default `batch_size` the...
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Cast dictionary-encoded storage such as pandas Categorical columns in ClassLabel
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`ClassLabel.cast_storage` handles `pa.StringArray` and `pa.IntegerArray` and hands anything else to `array_cast(storage, int64)`. A pandas `Categorical` column arrives as a `pa.DictionaryArray` (`dictionary<values=large_string, indices=int8>`), so Arrow tries to parse the category names as integers: ``` ArrowInvalid: ...
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to_csv ignores the encoding argument and always writes UTF-8
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### Describe the bug `Dataset.to_csv(path, encoding="utf-16")` writes UTF-8. The docstring says the extra keyword arguments go to `pandas.DataFrame.to_csv`, which documents `encoding` (and `errors`), and both are accepted without complaint, but the file is always UTF-8. The cause is in `datasets/io/csv.py`: `CsvDatas...
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to_csv and to_sql with index=True restart the index at 0 in every batch
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### Describe the bug `Dataset.to_csv(..., index=True)` and `Dataset.to_sql(..., index=True)` write an index column whose values restart at 0 at every batch boundary. The docstrings of both methods say "If you would like to write the index, pass `index=True` and also set a name for the index column by passing `index_la...
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ClassLabel.cast_storage fails on a pandas Categorical column (dictionary-encoded Arrow storage)
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### Describe the bug `Dataset.from_pandas(df, features=...)` fails when the label column of the DataFrame is a pandas `Categorical` and the feature is a `ClassLabel`. pandas hands the column to Arrow as a `DictionaryArray` (`dictionary<values=large_string, indices=int8>`), and `ClassLabel.cast_storage` only knows `pa....
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docs: clarify checksum recording defaults
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Fixes #8590 Clarifies that checksum recording has been disabled by default since Datasets 4.8.5, and that `verification_mode="all_checks"` does not enable it. The integrity guide now explains when checksum comparison runs, shows how to pin a Hub dataset commit for reproducibility, and distinguishes that from verifying...
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Fix save_to_disk failing when a batch holds more than 2GB of image or audio files
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Fixes #5717 Supersedes [#8141](https://github.com/huggingface/datasets/pull/8141), which @kasperg3 [agreed to hand over](https://github.com/huggingface/datasets/pull/8141#issuecomment-6208799638). The first commit is kasperg3's, minus a `to_dict` line that [a later commit](https://github.com/huggingface/datasets/pull/...
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Fix Parquet streaming shutdown with pending reads
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Fixes #8793. Stopping a threaded Parquet scan can leave native reads running after its iterator is destroyed. Closing the Python file or exiting the interpreter then races those reads, including on PyArrow 25. Restoring the old garbage-collection workaround does not wait for them. Scan synchronously, one row group at...
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Speed up Dataset iteration ~7x for the default Python format
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`for row in ds` slices a one-row table and runs `format_table` on it for every row. With the default Python format that means `to_pydict()` on a 1-row table, `_unnest`, and `decode_example`, so most of the time goes to per-row overhead rather than conversion. Datasets with an indices mapping (after `shuffle` or `select...
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bump fsspec and remove aiohttp dep
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Fix duplicated article in load.py docstring
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## What Fixed the duplicated article 'a a Storage Bucket' in a docstring in load.py. ## Why A small, objectively-verifiable improvement (typo) found during a daily open-source maintenance pass (2026-10-16). ## How verified Found with a grep for repeated words. Checked the diff: 1 line changed in 1 file. Committed on ...
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Accept path-like objects in `save_to_disk` / `load_from_disk` on older fsspec
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`Dataset.save_to_disk`, `Dataset.load_from_disk`, `DatasetDict.save_to_disk`, `DatasetDict.load_from_disk` and `datasets.load_from_disk` all document their path argument as `path-like`, but they pass it straight to `fsspec.core.url_to_fs`, which only started stringifying `os.PathLike` inputs in fsspec 2024.6. On any fs...
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Fix streaming raising FileNotFoundError for existing files when the Hub is briefly unavailable
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Fixes #7440 When the Hub is briefly unavailable (429, 5xx or a timeout), streaming can raise `FileNotFoundError` for a file that exists, and a long training run stops. ```python from unittest.mock import patch from huggingface_hub import HfFileSystem from huggingface_hub.errors import HfHubHTTPError from hu...
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Stop streaming take after the requested input boundary
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Fully exhausting `dataset.take(n)` currently asks the upstream iterable for one extra example (or Arrow table) before stopping. If that next read raises, a sample containing all requested rows still fails. The extra read can also run unnecessary mapping or I/O. Stop both iteration paths immediately after yielding the ...
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Preserve column order and metadata when unpickling concatenated datasets
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Pickling a dataset concatenated along columns can undo `select_columns()` ordering and replace the full feature metadata with metadata from its first source. For example, two memory-mapped datasets concatenated as `a, b` and selected as `b, a` come back from a pickle roundtrip as `a, b`. Restore the saved schema when ...
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Synchronize feature decoding after in-place dictionary unions
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`Features |= other` inherits `dict.__ior__`, so it changes the schema without updating the cached decoding flags. Adding a column then raises `KeyError` during decoding. Replacing a `Value("string")` or `Json(decode=False)` column with `Json()` silently leaves JSON payloads encoded as strings. Apply the existing synch...
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Preserve unread values in lazy reverse dictionary unions
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Using `defaults | example` inside `Dataset.map()` should keep existing example values. For an unread overlapping column, the reverse union currently removes its deferred-formatting marker while retaining its `None` placeholder. Row mapping silently writes null values; batched mapping raises `TypeError`. Keep the right...
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Skip empty streams when rebatching the entire dataset
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Mapping an empty Arrow or pandas stream with `batched=True` and `batch_size=None` (also `0` or a negative value) crashes with `ArrowInvalid: Must pass at least one table` after `take(0)`. If a filter instead emits empty tables, the same path invokes the callback with an empty batch. Positive-size batches already skip b...
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Preserve selected features through streaming filters
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After a typed Arrow or pandas map, `select_columns()` removes columns from rows but retains the parent iterable's full feature schema. A subsequent `filter()` reintroduces those removed columns during formatting, then raises `CastError` because they no longer match the dataset's selected schema. Project `SelectColumns...
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Accept NumPy integer indices on nested columns
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Indexing a nested column with a NumPy integer, such as `dataset["metadata"]["score"][np.int64(0)]`, treats the returned row as an iterable and raises `TypeError`. Ordinary dataset columns already accept NumPy integer indices. Recognize NumPy integers in the nested-column scalar path as well. Regression tests cover sig...
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8,814
Honor new_fingerprint when casting non-decoder columns
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`Dataset.cast_column(..., new_fingerprint="cast-result")` ignores the supplied fingerprint for features without a decoder, including `Value`, `ClassLabel`, and `List`. The returned dataset and its saved `state.json` instead contain the fingerprint produced by the nested `cast()` call. Decoder-backed features already ho...
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8,813
Keep streaming Arrow map indices tied to input rows
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Arrow-formatted batched maps advance `with_indices=True` by the number of output rows when read through the Python row iterator. If a batch is duplicated, filtered, or dropped, later callbacks receive the wrong source indices. For example, concatenating a mapped Arrow stream with a generator-backed stream makes source ...
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Preserve dataset info and split when converting to streaming
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`Dataset.to_iterable_dataset()` keeps the rows and features but currently drops the split name and all other `DatasetInfo` fields. For example, a dataset with `split="train"`, a description and a license becomes a stream with `split=None` and empty description/license values. This loses attribution and provenance when ...
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Preserve headers and document structure when exporting empty datasets
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An empty `Dataset` currently writes zero bytes for both CSV and JSON exports. That drops the CSV header and makes `to_json(..., lines=False)` produce an invalid JSON document. This is reachable when filtering removes every record or a partition has no rows. Serialize one empty batch so CSV retains the requested header...
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Restore legacy unsorted dict hashing for the 2.15 cache lookup
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Fixes #8410 ### Problem `DatasetBuilder._check_legacy_cache2` patches `Pickler._legacy_no_dict_keys_sorting = True` to recompute the `config_id` that datasets 2.15 wrote, since 2.15 hashed dicts without sorting their keys. Since 4.4.0 the flag does nothing, so the lookup computes the current (sorted) hash and misses ...
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Fix CSV column_names overrides for configured datasets
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Fixes #7077. When loading a CSV dataset directory, `column_names` can be ignored and the first data row used as the header. It is also ignored when overriding column names from README configuration. Loading with the explicit `"csv"` builder already works. Normalize incoming `column_names` to `names` before the CSV bu...
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Always release open Parquet fragments on early stream stop (pyarrow >= 25)
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Fixes #8793 The workaround for apache/arrow#45214 in the Parquet builder (`del parquet_fragment` + `gc.collect()` when a stream stops before the fragment is fully read) was gated on `datasets.config.PYARROW_VERSION <= 24.0.0`. The issue reports that the fatal `PyGILState_Release` at interpreter exit still happens with...
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Support remote streaming reads for TsFile
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Streaming a remote TsFile currently validates its header through `xopen`, then passes the URL string to `TsFileReader`, whose path-based constructor opens local files. Keep the fsspec seekable binary source alive and pass it to the file-object reader introduced in TsFile 2.5.0. Local files continue using the native pat...
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Test TsFile 2.5.0 without dependency workarounds
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TsFile 2.5.0 is now available on PyPI and removes the PyArrow upper bounds that required installing the SDK with `--no-deps` only in the Python 3.14 job. Add `tsfile>=2.5.0` to the shared test requirements so the existing TsFile tests also run in the Python 3.10 jobs and the Python 3.14 NumPy 2 environment, and remove ...
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fix(splits): handle SplitInfo objects in SplitDict.from_split_dict
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Fixes #8617. Bug explanation: `SplitDict.copy()` crashes with `AttributeError` because `from_split_dict` calls `.get()` on the `SplitInfo` dataclass instances passed from `to_split_dict()`, which have no `.get()` method. What changed: one line in `src/datasets/splits.py` inside `from_split_dict`. Dict inputs behave e...
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docs: clarify download modes and transform caching
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## Summary The cache guide currently recommends `force_redownload` to get data without previous `map` transforms. Reloading with `load_dataset` already returns the original prepared dataset. ```diff - Re-download files to get the original data without transforms. + Use download_mode for source downloads and dataset p...
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Keep the split in Dataset.repeat
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`Dataset.repeat(n)` returns `split=None` for any `n >= 1`, while `repeat(0)`, `select`, `shuffle` and `filter` keep the split: ```python ds = Dataset.from_dict({"x": [1, 2]}, split="train") ds.repeat(3).split # None ds.repeat(0).split # train ``` `repeat` concatenates `[self] * num_times` without passing the split....
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Fix misleading pickle or dill wording in fingerprint hashing
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Fingerprint hashing uses the custom dill pickler in `datasets.utils._dill`, but its failure warnings and caching documentation say objects can be serializable with "pickle or dill". This incorrectly suggests that successful pickle serialization is sufficient when dill serialization fails. This change makes the two war...
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Keep the info and split when map recombines shards
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Fixes #5967. With `num_proc > 1`, `map` concatenates the processed shards via `_concatenate_map_style_datasets(all_transformed_shards)` without passing an info or split. The split is therefore always `None`, and `DatasetInfo.from_merge` drops `config_name`/`dataset_name` as soon as the shard infos differ, e.g. when a ...
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Fix concatenate_datasets giving every rank all the data after split_dataset_by_node
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Fixes #8799 If you split iterable datasets with `split_dataset_by_node` and then concatenate them, every rank gets all the data instead of its own part. The cause: `_concatenate_iterable_datasets` doesn't pass the split (`distributed=`) to the dataset it returns. This PR fixes it the same way `interleave_datasets...
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concatenate_datasets drops the split_dataset_by_node split, so every rank gets all the data
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### Describe the bug If you call `split_dataset_by_node` on iterable datasets and then concatenate them with `concatenate_datasets`, the result is no longer split: every rank iterates over the full data of all inputs. There is no error. In distributed training, each rank silently trains on the same data, so every...
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Extract single-file archives atomically (temp file + os.replace)
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Fixes #5088 ## What does this PR do? The single-file extractors (`GzipExtractor`, `XzExtractor`, `ZstdExtractor`, `Bzip2Extractor`) streamed decompression **directly to the final cache path**, while `ExtractManager._do_extract` only checks for the file's existence to skip re-extraction. A process killed mid-extractio...
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Add a regression test for extracting into a symlinked directory
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#8303 fixed #8296 (a symlink planted at the extraction directory made `Extractor.extract` write the archive into the directory it points to), but it shipped without a test. This adds one. The test plants a symlink to another directory at the output path, extracts a tar archive, and checks that the output path is now a...
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Support sorting by float16 columns
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`Dataset.sort` fails when a sort key is a `float16` column, or a struct with a `float16` field: ```python ds = Dataset.from_dict({"x": [0.5, -1.0, 2.0]}, features=Features({"x": Value("float16")})) ds.sort("x") # ArrowNotImplementedError: halffloat ``` Arrow has no sort kernel for half floats, on pyarrow 24 and 26 a...
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Fix push_to_hub dropping rows when num_proc exceeds num_shards
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`Dataset.push_to_hub` silently uploads only part of the dataset when `num_shards` is smaller than `num_proc`: ```python ds = Dataset.from_dict({"i": list(range(2000))}) ds.push_to_hub("user/repo", num_shards=2, num_proc=4) # uploads 1000 of the 2000 rows, no error ``` With `num_shards=3, num_proc=4` it uploads 1500 ...
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Fix JSON loader turning plain strings into other types in inferred Json columns
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Fixes #8713. **Bug:** When `load_dataset("json")` infers a `Json` column (a column mixing objects and strings, with no explicit `features` passed), any plain string in that column that happens to be valid JSON (e.g. `"123"`, `"null"`, `"true"`) was decoded to another type on load: `123`, `None`, `True`. Only strings t...
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Fatal `PyGILState_Release` at interpreter exit when streaming Parquet with pyarrow 25 (arrow#45214 workaround is gated to pyarrow <= 24)
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### Describe the bug When streaming Parquet datasets from the Hub and stopping iteration early (normal for streaming), the process aborts during interpreter shutdown: ``` Fatal Python error: PyGILState_Release: thread state 0x7fca9c0036d0 must be current when releasing Python runtime state: finalizing (tstate=0x00000...
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Skip complete Parquet sources using metadata counts
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Streaming `skip(n)` currently decodes every preceding Parquet source. This change uses `_generate_num_examples` to advance past complete sources using footer row counts, then keeps the existing scan/slice logic for the remainder. Addresses #5380, following [the maintainer’s suggested approach](https://github.com/hug...
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Fast streaming decode for image/audio/video/etc. folders datasets
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enable multithreading by default only mesh datasets have a lower multithreading since they load the full files in memory, to avoid OOMs
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Fix Arrow fingerprinting capturing PyArrow globals
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## Summary Fix Arrow fingerprinting/serialization failing with `PicklingError: Can't pickle <class 'MonthDayNano'>` on the declared Python 3.11 / dill 0.4.1 / PyArrow 26.0.0 dependency combination. A two-row `Dataset.from_dict` fails during fingerprint creation, and the existing chunk-independent Arrow-table hashing r...
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re-pushing all dataset partitions corrupts it
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### Describe the bug If I push a dataset to the Hub, rename a column, and push it again to the same repo, `load_dataset` fails with a `CastError`. The parquet file has the new column name, but the README metadata still lists the old one. It only happens when the dataset has a single split. With multiple splits, the s...
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fix: copy features to the card when re-pushing a split
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Fixes the bug reported in #8789 . `_get_updated_dataset_card()` updates the splits and sizes in the existing `dataset_info`, but never the features. So re-pushing every split of a dataset with different columns (e.g. after renaming a column) left the card declaring the old schema. `load_dataset` then fails with a `C...
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Fix streaming map callbacks returning None
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`IterableDataset.map()` documents that a callback returning `None` runs for side effects and leaves the input data unchanged. It currently raises `TypeError`: the Python path unpacks `None` as a mapping, and the table-formatted path rejects it as an invalid return type. ```python from datasets import IterableDataset ...
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Close the xopen handle in xpandas_read_csv
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`xpandas_read_csv` hands `xopen(path, "rb")` to `pd.read_csv`, and pandas never closes a buffer it did not open. The handle now closes after a full read, and when `iterator=True` or `chunksize` is set it closes with the reader, which pandas calls on exhaustion and on `close()`, and which #8779 adds for a generator that...
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Raise a clear ValueError when interleave_datasets gets the wrong number of probabilities
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On main, `interleave_datasets([d, d], probabilities=[1.0])` with map-style datasets raises `IndexError: boolean index did not match indexed array along axis 0; size of axis is 2 but size of corresponding boolean axis is 1`. datasets 4.0.0 raised `ValueError: a and p must have same size` for the same call. Iterable data...
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CSV builder never closes the xopen file handle passed to pandas.read_csv (streaming and non-streaming)
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### Describe the bug The packaged `csv` builder leaves the file object of every CSV it reads open, even after a complete read. Only the garbage collector closes it. `xpandas_read_csv` (`src/datasets/utils/file_utils.py:1273`) passes `xopen(path, "rb")` to `pd.read_csv`. pandas wraps that buffer, and `IOHandles.close()...
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Fix DatasetDict examples in the NumPy and JAX guides
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The `DatasetDict` examples in the NumPy and JAX guides call `DatasetDict.from_dict(data)`, but `DatasetDict` has no `from_dict` (only `Dataset` does), so the snippet fails: ``` AttributeError: type object 'DatasetDict' has no attribute 'from_dict' ``` This builds the `DatasetDict` from `Dataset.from_dict(...)` per sp...
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perf: speed up dense indexed batch reads
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### What It Is Speed up dense indexed batch reads by gathering selected rows per Arrow record batch, then restoring the requested order. Normalize unsigned indices before offset arithmetic. No dependency or public API change. --- ### Why Shuffled and noncontiguous reads currently create one Arrow batch per row. Gro...
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Fix serialization of mesh objects returned by Dataset.map
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`Dataset.map()` raises `ArrowInvalid` when a transform returns a decoded mesh, even when the column already has a `Mesh` feature: ```python import trimesh from datasets import Dataset, Features, Mesh ds = Dataset.from_dict( {"mesh": [trimesh.creation.box()]}, features=Features({"mesh": Mesh()}), ) def transl...
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Accept LargeList embedding columns in FAISS indexes
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`Dataset.add_faiss_index()` rejects one-dimensional embedding columns stored as `LargeList`, including columns inferred from Arrow or loaded from Parquet. The feature check accepts `List` but raises `ValueError: Wrong feature type for column ... Expected 1d array` for equivalent `LargeList` values. Accept `LargeList` ...
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Close CSV readers when table generation exits
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CSV table generation leaves its pandas reader open when the generator is closed early or table casting raises. Close the reader in a `finally` block so both paths release the file handle while preserving the existing error propagation. Added regression coverage using real pandas readers for exhaustion, generator closu...
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Keep CSV row indices continuous across batches
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`Dataset.to_csv(index=True)` currently restarts the exported index at zero for each batch. For example, exporting 12 rows with `batch_size=5` writes indices `0..4, 0..4, 0..1`, while a single batch writes `0..11`. Set each batch's DataFrame index from its logical row offset before CSV serialization. This makes indexed...
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Make Features.__setitem__/__delitem__ update only the touched column
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Fixes #8776. `keep_features_dicts_synced` rebuilds the whole `_column_requires_decoding` dict after every `__setitem__` / `__delitem__`, and `Features.__init__` sets every column once, so building a `Features` with N columns makes N × N `require_decoding` calls. This change makes `__setitem__` and `__delitem__` update...
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Loading a dataset with many columns is quadratic in the number of columns (20k-column CSV: 15-25 min to load, ~30 s with a small fix)
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### Describe the bug Every `Features` object is built in O(columns²) time, so datasets with thousands of columns become very slow to load and process. `Features.__init__` re-assigns every column (the datasets<4 list compatibility loop), and each `__setitem__` goes through `keep_features_dicts_synced`, which rebuilds ...
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fix: close parquet writer even when export fails (#8743)
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## What does this PR do? Fixes [#8743](https://github.com/huggingface/datasets/issues/8743): `ParquetDatasetWriter._write` only closes the `pyarrow.parquet.ParquetWriter` on the successful completion path. If a batch query/write or metadata persistence raises, the writer is left unclosed while the outer file handle is...
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Fix row-wise equality for pandas ArrayXD columns
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Pandas equality on an ArrayXD column reduces the whole column to one boolean. If two Series differ in only one row, `(left == right)` marks every row as unequal, and `!=` marks every row as different. Ragged rows can also raise an ambiguous-truth-value error. Compare each row's array with `np.array_equal` and return a...
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Add return_file_name parameter to load_dataset for JSON (issue #5806)
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Adds an optional `return_file_name` parameter to the JSON dataset loader. When set to `True`, the returned dataset includes a `file_name` column containing the source file name for each row. Changes: - Added `return_file_name: bool = False` to `JsonConfig` - Updated `_info()` to include `file_name` feature when enable...
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Use Sequence instead of List in type hints (issue #5354)
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Fixes mypy errors by replacing invariant `List` with covariant `Sequence` in type annotations and docstrings. Changes: - `path_or_paths: Union[PathLike, list[PathLike]]` → `Union[PathLike, Sequence[PathLike]]` in `from_csv`, `from_json`, `from_parquet`, `from_text` methods - Docstring `List[str]` → `Sequence[str]` for...
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Honor NumPy dtype and copy in ArrayXD adapters
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NumPy passes dtype and copy to extension arrays. The Arrow ArrayXD adapter currently rejects both arguments; the Pandas adapter rejects copy and can allocate for a same-dtype conversion. This also breaks NumPy 2 copy=False dispatch. Accept both protocol arguments in the Arrow and Pandas adapters. Keep a view when poss...
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Fix load_from_disk failing for datasets saved with zero rows
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Since 4.5.0, `save_to_disk` writes no data file at all for a dataset with zero rows, so `load_from_disk` can't read the directory back: ```python import tempfile from datasets import Dataset, DatasetDict, load_from_disk path = tempfile.mkdtemp() full = Dataset.from_dict({"x": [1, 2, 3]}) DatasetDict({"train": full, "...
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Fix Video feature serialization with torch.device inputs
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`Video` accepts a `torch.device`, but passing one makes `Dataset.from_dict` fail with `TypeError: Object of type device is not JSON serializable` while building feature metadata. Normalize non-`None` devices to their string descriptors when constructing the feature. This preserves indexed devices such as `cuda:1` and ...
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Fix Arrow iterable map preserving returned columns
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## Summary - Keep columns returned by an Arrow-format `IterableDataset.map` function even when their names appear in `remove_columns`. - Align streaming behavior with `Dataset.map` and the documented rule that `remove_columns` applies before the function output. - Update the Arrow iterable tests and add a regression co...
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Fix struct-backed feature alignment in Dataset.add_item
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Fixes #8766. ## What this changes `Dataset.add_item()` raises `AttributeError` when an appended dictionary meets an existing `Translation`, `TranslationVariableLanguages`, or null feature. Null-first struct concatenation fails through the same alignment helper. Require both the previously selected feature and the in...
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Dataset.add_item fails when an existing struct-backed feature meets an inferred dictionary
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## Bug description `Dataset.add_item()` raises `AttributeError` when a column has a declared struct-backed feature such as `Translation` or `TranslationVariableLanguages` and the appended value is inferred as a dictionary. The same feature-alignment path fails to promote `Value("null")` to an inferred struct, includin...
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Infer WebDataset media features through compression suffixes
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WebDataset already decompresses members such as `00000.jpg.gz`, but feature inference only examines the final `gz` suffix. The column is therefore inferred as `Value('binary')` and `load_dataset()` returns raw image bytes instead of a decoded image. Use the underlying extension for media feature inference when a suppo...
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Fix IndexError for an empty contiguous selection in Dataset.select and shard
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`Dataset._select_contiguous` checked `start` and `start + length - 1` against the dataset size before it reached its `length == 0` case, so an empty selection that starts at the end raised `IndexError` instead of giving an empty dataset. That made `shard(num_shards, index)` with the default `contiguous=True` raise for ...
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Dataset.shard raises IndexError for the empty shards when num_shards is larger than the dataset
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### Describe the bug `Dataset.shard(num_shards, index)` with the default `contiguous=True` raises `IndexError` for the shard indices that have no rows, which happens whenever `num_shards` is larger than the dataset. With `contiguous=False` the same call returns an empty shard. The error comes from `_select_contiguous`...
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Decode the uint32 TenBin type code in WebDataset
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The TenBin u4 type code maps to the misspelled NumPy dtype unit32. A valid unsigned-32-bit TenBin member in a WebDataset TAR therefore raises TypeError instead of yielding its array. Correct the dtype mapping to uint32. Keep the binary format and other type mappings unchanged. Verification An independently construct...
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8,761
Reject unequal row counts in selected nested HDF5 datasets
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Nested selected HDF5 arrays with lengths two and three evade the root-only length check. Row generation silently truncates the longer selected array, losing data or labels rather than reporting inconsistent input. Recursively compare selected group row counts with the root count using the existing safe link iterator. ...
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8,760
Distinguish RIFF WAVE audio from AVI video when loading Lance
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Lance binary-column inference treats every RIFF header as Video. A real valid WAV file starts with RIFF too, so loading a Lance dataset of WAV bytes incorrectly creates a Video feature instead of Audio. Inspect the RIFF form type at byte offset eight: AVI retains Video, WAVE becomes Audio, and an unknown form is not g...
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8,759
Include Iceberg catalog properties in the dataset cache identity
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Two real SqlCatalog instances with the same catalog name and table identifier but different warehouse/connection properties produce the same builder cache identity. Loading the second can return the first catalog’s cached rows instead of its own data. Include catalog.properties in the existing stable config hash. Keep...
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