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value:## Summary A local file with the same name as a WebDataset member can replace the embedded image. When an `Image` dictionary supplies both a relative archive label and bytes, the encoder can discard the bytes if the label happens to resolve to a file in the working directory. Keep the relative label and the sup...
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value:Fixes #8980. Adding a column to an Arrow-, pandas-, or Polars-formatted `IterableDataset` currently raises `TypeError` during iteration because the internal callback returns a dictionary. Perform this operation in batched Arrow format, append the new column without discarding the original columns, and restore th...
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value:### Describe the bug `IterableDataset.add_column()` fails during iteration after `with_format("arrow")`, `with_format("pandas")`, or `with_format("polars")`. Adding the column before selecting the format works. This prevents a streaming data preparation pipeline from adding metadata columns after it has selected...
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value:Combining iterable datasets can silently skip feature conversion or omit columns depending on the first source. For example, concatenating a source processed with `.map(..., features=features)` with a raw generator declaring the same `ClassLabel` produces integer labels from the first source and strings from the ...
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value:A fully loaded PIL image remains usable after its local source file is removed. `encode_pil_image` currently stores the retained filename, so `Dataset.from_dict` and a `Dataset.map` callback can produce a dataset that raises `FileNotFoundError` on access or `save_to_disk` despite having received usable image pixe...
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value:`IterableDataset.rename_column` / `rename_columns` crash during iteration when the dataset has a table format (`arrow`, `pandas`, `polars`). ```python from datasets import IterableDataset ds = IterableDataset.from_dict({"a": [1, 2, 3], "b": ["x", "y", "z"]}) list(ds.with_format("arrow").rename_column("a",...
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value:Fixes #8973 \get_parquet_column_options\ applied a single top-level \ equire_storage_embed\ result to every leaf under a struct field, disabling compression and dictionary encoding for non-media columns whenever a media feature was present. Compute the embed flag per leaf based on its own feature. This pull req...
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value:Fixes #8973 ### Context & Problem In #8674, Parquet writer options (`compression`, `use_dictionary`, `column_encoding`) were keyed by leaf path rather than top-level column names so nested struct/list fields would be compressed. However, `get_parquet_column_options` still checked `require_storage_embed` only a...
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value:### Describe the bug When a dataset contains a struct or dictionary column that includes an embedded storage feature (such as `Image`, `Audio`, `Video`, etc.) alongside non-media columns (such as text strings, integers, floats, or vectors), saving the dataset to Parquet via `to_parquet()` or `push_to_hub()` disa...
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value:The `eval` loader can't read Inspect logs whose sample ids are strings, which many tasks use (SWE-bench, GPQA, ...). Inspect names sample files `{sample_id}_epoch_{epoch}.json`, and `_sort_samples_key` calls `int()` on the id: ```python from datasets import load_dataset load_dataset("eval", data_files="swe_benc...
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value:Closes #3220. The Hub loading guide now shows where to find the Dataset Viewer’s **Auto-converted to Parquet** link and how to load one split from the conversion branch. The example uses the same CSV dataset already introduced in the guide and links to the Hub documentation for partial conversions and API access...
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value:Saving a dataset containing a null struct can try to read media paths hidden beneath that null. Arrow child arrays may retain values under a null parent; those values are not part of the logical dataset. If a hidden path does not exist, `save_to_disk` raises `FileNotFoundError` even though the corresponding datas...
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value:## Summary Fixes #8967 `Dataset.map(num_proc=...)` with a `suffix_template` whose rank field is not exactly `{rank:05d}` (for example `_{rank:03d}_of_{num_proc:03d}`) worked on the first run, then raised `ValueError: Unknown format code 'd' for object of type 'str'` on every rerun that loaded all shards from th...
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value:Fix map with num_proc failing on a cache hit when suffix_template has a custom rank format
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value:### Describe the bug `Dataset.map` with `num_proc` and a custom `suffix_template` works the first time, but every rerun that loads all shards from the cache raises `ValueError: Unknown format code 'd' for object of type 'str'`. Only the default `{rank:05d}` works. `Dataset.filter` has the same `suffix_template` ...
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value:## Summary Fixes #8965 `Dataset.batch(by_column=...)` and `IterableDataset.batch(by_column=...)` treated a null key as equal to its neighbours, so different groups were merged into one batch. Keys `[1, None, 2]` gave a single batch. A key column with only nulls raised `ArrowNotImplementedError`. Now a null is i...
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value:### Describe the bug `Dataset.batch(by_column=...)` and `IterableDataset.batch(by_column=...)` treat a null key as equal to its neighbours, so rows from different groups end up in the same batch. A key column that contains only nulls raises instead. ### Steps to reproduce the bug ```python from datasets import...
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value:## Description Fixes #8755 — Audio arrays remain NumPy arrays when using PyTorch formatting. ### Changes made - Updated the TorchCodec audio decoder to support returning PyTorch tensors. - Updated `TorchFormatter` to convert Hugging Face audio decoder output to PyTorch-compatible output. - Preserved existing Nu...
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value:I read through the repo and found a handful of small bugs. I reproduced each one before writing a fix. They're independent, so I can split this into separate PRs if that's easier to review. ### `http(s)://` data files fail on a clean install fsspec's `HTTPFileSystem` needs `aiohttp`, but `aiohttp` is only in th...
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value:Closes #8956 ### Summary - Prioritize 3D dataset detection when a repository contains mesh files alongside image textures. - Prevent image textures from causing a 3D dataset to be incorrectly detected as an `imagefolder`. - Preserve the existing format-selection behavior for other formats. ### Tests - `python -...
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value:`Dataset.add_item` infers an Arrow table before applying the existing dataset features. Appending a Python integer above `2**63 - 1` therefore raises `OverflowError` even when its column is declared as `Value("uint64")`. Retry the overflowing column with its existing scalar uint64 type. Other columns retain thei...
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value:It was using the default of `batch_size` which is `None`, which means full downloads By default it now uses max batch size (1000)
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value:CSV loading with an explicit `Value("timestamp[ns]")` feature fails in the default pandas C parser: the feature's NumPy datetime dtype is unsupported by `read_csv(dtype=...)`. Read timestamp columns as objects and let the existing Arrow schema conversion parse them. This preserves the declared timestamp type, na...
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value:`Mesh` (and the `meshfolder` builder behind it) only accepts `.glb`, `.ply` and `.stl`, although `trimesh` — which does the decoding — also reads glTF. So a folder of `.gltf` models produces no `Mesh` column at all, and `Mesh().decode_example({"path": "model.gltf", ...})` raises. Measured on `main` (62e0b421), b...
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value:cc @3outeille lmk if it sounds good to you if `split_dataset_by_node` sounds confusing in this setting we can also imagine a different function dedicated to meshes
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value:[cfahlgren1/3d-model-samples](https://huggingface.co/datasets/cfahlgren1/3d-model-samples/tree/main) has 6 `.glb` files and one `.gltf` model, but the viewer shows it as an `Image` dataset with 15 rows of FlightHelmet textures and no 3D models. The format comes from the most common file extension, and a `.gltf` ...
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value:`ds.with_format("arrow")[range(n)]` can use an Arrow slice, but first `_check_valid_index_key` walks the entire range twice to compute its minimum and maximum. A range is monotonic, so its first and last elements give the same bounds for either step direction. Check the larger endpoint first as before, preserving...
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value:`ConcatenationTable.slice(0, 0)` returns the expected empty table, but a pickle round trip raises `ArrowInvalid: Must pass at least one table`. Empty slices retain no row blocks. Rebuild those results directly from the saved schema, preserving column types, nullability and metadata. Nonempty block reconstruction...
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value:`IterableDataset.load_state_dict()` only stores the state; it is applied when the next iteration starts. Until the first example is read, `state_dict()` keeps returning the dataset's previous state (for a dataset created after a restart, the start of the stream). A checkpoint saved in that window loses the restor...
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value:Fixes #8919. With `num_proc > 1`, `Dataset.map` splits the dataset into equal contiguous shards with `shard(contiguous=True)`, ignoring `batch_size`. Every shard then ends with its own incomplete batch: - a batched function receives short batches in the middle of the dataset, not only at the end; - `Dataset.bat...
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value:After `set_format(type=..., columns=[...])` or `with_transform(..., columns=[...])`, reading a column that is not in the format columns raises `KeyError`: ```python from datasets import Dataset ds = Dataset.from_dict({"input_ids": [[1, 2], [3, 4]], "label": [0, 1], "text": ["a b", "c d"]}) ds.set_format(type="n...
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value:What does this PR do? pyarrow's JSON reader can return a table with invalid list offsets when a list starts with `null`. The `.jsonl` branch of `_read_metadata` in folder-based builders (`imagefolder` and the others) used that table without checking it, so values were silently wrong: `[null, 1]` and `[2]` loaded...
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value:### Describe the bug When the `metadata.jsonl` of an `imagefolder` has a list column whose first element is `null`, `load_dataset` returns wrong values with no error. In the example below, `[null, 1]` and `[2]` come back as `[1, 2]` and `[0]`. The same rows loaded with the `json` builder come back correctly on ...
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value:`Image().encode_example` fails on single-channel arrays shaped `(H, W, 1)`, which is how many image pipelines (OpenCV, torchvision, `np.expand_dims`) hand over grayscale images: ```python import numpy as np from datasets import Dataset, Features, Image array = np.zeros((4, 4, 1), dtype=np.uint8) Dataset.from_di...
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value:CSV readers can reject missing values in declared integer or boolean columns before applying their nullable Arrow schema. With the Python parser, a value such as `"001"` in a declared string column can become `"1"`, losing its leading zeros even though the resulting feature type remains `string`. Map declared ...
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value:`map()` and `filter()` recognize async functions but classify objects with an async `__call__` as synchronous callbacks. A callable mapper then receives a coroutine instead of a mapping; a callable predicate can silently keep every row without being awaited. Use a shared callback classifier for `Dataset` and `It...
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value:Related to #7537. `dill` versions before 0.3.6 can't handle code objects on Python 3.11+, so `Dataset.map(num_proc=...)` crashes. `setup.py` still allows `dill>=0.3.0` on every Python version, so an environment that keeps an older `dill` installs `datasets` without complaint and fails at runtime. #7537 shows the...
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value:Passing a current-directory filename such as `indices_cache_file_name="selected.arrow"` raises `FileNotFoundError` for a noncontiguous selection: the indices writer calls `os.makedirs("")`. The same path is used by `sort`, `shuffle`, and `train_test_split`. Use the current directory when the filename has no pa...
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