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https://api.github.com/repos/huggingface/datasets/issues/8393 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8393/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8393/comments | https://api.github.com/repos/huggingface/datasets/issues/8393/events | https://github.com/huggingface/datasets/issues/8393 | 5,057,788,029 | I_kwDODunzps8AAAABLXe4fQ | 8,393 | CPU Bottleneck in `IterableDataset.state_dict()` when shuffling multiple shards | {
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} | **Describe the bug**
There is a significant CPU bottleneck in `IterableDataset` dataloading when `buffer_size` and `max_buffer_input_shards` are greater than 1 (i.e. highly parallelized streaming with a shuffle buffer).
Currently, `_BaseExamplesIterable.state_dict()` falls back to performing a full recursive `copy.dee... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8392 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8392/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8392/comments | https://api.github.com/repos/huggingface/datasets/issues/8392/events | https://github.com/huggingface/datasets/pull/8392 | 5,057,387,644 | PR_kwDODunzps76YcK8 | 8,392 | Add Spark Connect support for Spark datasets | {
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Adds Spark Connect support to `Dataset.from_spark` and `IterableDataset.from_spark` by replacing client-side RDD and `SparkContext` calls with DataFrame APIs supported by Spark Connect.
- discovers partitions with `spark_partition_id()` for streaming datasets
- runs the shared-cache probe wit... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8391 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8391/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8391/comments | https://api.github.com/repos/huggingface/datasets/issues/8391/events | https://github.com/huggingface/datasets/issues/8391 | 5,057,110,196 | I_kwDODunzps8AAAABLW1gtA | 8,391 | Nanosecond timestamps are silently truncated even when Value("timestamp[ns]") is requested | {
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} | ### Describe the bug
`Dataset.from_dict` / `from_list` / `map` silently drop sub-microsecond precision, even when the user explicitly declares a nanosecond feature type. The resulting dataset reports `timestamp[ns]` but the data has already been truncated to microseconds.
### Steps to reproduce the bug
```python
imp... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8390 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8390/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8390/comments | https://api.github.com/repos/huggingface/datasets/issues/8390/events | https://github.com/huggingface/datasets/issues/8390 | 5,057,108,509 | I_kwDODunzps8AAAABLW1aHQ | 8,390 | to_json cannot round-trip temporal columns: all timestamps written as epoch milliseconds | {
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} | ### Describe the bug
`Dataset.to_json()` serializes every temporal column as a bare epoch integer at a single fixed resolution (pandas' `date_unit="ms"` default), with no unit recorded in the output. Timestamps therefore do not survive a `to_json` → `from_json` round trip: they either come back silently wrong or raise... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8389 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8389/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8389/comments | https://api.github.com/repos/huggingface/datasets/issues/8389/events | https://github.com/huggingface/datasets/pull/8389 | 5,057,105,324 | PR_kwDODunzps76XicZ | 8,389 | Keep the id of List and LargeList features when visiting them | {
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"followers_url": "https://api.github.com/users/LeSingh1/... | [] | open | false | [] | null | [] | 2026-08-04T05:35:23 | 2026-08-04T05:35:23 | null | null | NONE | [] | null | null | null | null | `_visit()` and `_visit_with_path()` rebuild `List` / `LargeList` in order to recurse into the inner feature, but they don't carry `id` over, so it is silently reset to `None`. Every other feature type is passed through untouched and keeps its `id`.
`Features.__init__` runs `_visit()` on every column (to convert the le... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8388 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8388/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8388/comments | https://api.github.com/repos/huggingface/datasets/issues/8388/events | https://github.com/huggingface/datasets/pull/8388 | 5,057,105,180 | PR_kwDODunzps76Xiab | 8,388 | Allow to_iterable_dataset() on a dataset with no rows | {
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"followers_url": "https://api.github.com/users/LeSingh1/... | [] | open | false | [] | null | [] | 2026-08-04T05:35:21 | 2026-08-04T05:35:21 | null | null | NONE | [] | null | null | null | null | `Dataset.to_iterable_dataset()` defaults to `num_shards=1`, but the guard rejects any `num_shards > len(self)`, so it always raises on an empty dataset:
```python
>>> Dataset.from_dict({"a": []}).to_iterable_dataset()
ValueError: Unable to shard a dataset of size 0 into 1 shards (the number of shards exceeds the numbe... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8387 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8387/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8387/comments | https://api.github.com/repos/huggingface/datasets/issues/8387/events | https://github.com/huggingface/datasets/pull/8387 | 5,057,055,820 | PR_kwDODunzps76XYVI | 8,387 | Fix `deepcopy` bottleneck in state_dict() | {
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This PR significantly resolves a major CPU bottleneck in `IterableDataset` dataloading when `buffer_size` and `max_buffer_input_shards` are > 1.
**The Bug:**
Currently, `_BaseExamplesIterable.state_dict()` falls back to performing a full recursive `copy.deepcopy(self._state_dict)`.
In nested iterator... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8386 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8386/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8386/comments | https://api.github.com/repos/huggingface/datasets/issues/8386/events | https://github.com/huggingface/datasets/issues/8386 | 5,056,333,190 | I_kwDODunzps8AAAABLWGFhg | 8,386 | map(batched=True, drop_last_batch=True) returns the input unchanged when the dataset is smaller than batch_size | {
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} | ### Describe the bug
When `drop_last_batch=True` and the dataset is smaller than `batch_size`, `Dataset.map(batched=True, ...)` returns the **input unchanged** instead of an empty dataset. The mapped function is never called, but the original rows are passed through with the original (unbatched) schema.
The iterable ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8385 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8385/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8385/comments | https://api.github.com/repos/huggingface/datasets/issues/8385/events | https://github.com/huggingface/datasets/pull/8385 | 5,056,320,016 | PR_kwDODunzps76VCkY | 8,385 | Fix save_to_disk writing no shard for a dataset with no rows | {
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```python
num_shards = min(len(self.data), num_shards)
```
For a dataset with no rows that gives `0` shards. No `.arrow` file is written, `state.json` gets an empty `"_data_files"`, and load... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8384 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8384/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8384/comments | https://api.github.com/repos/huggingface/datasets/issues/8384/events | https://github.com/huggingface/datasets/pull/8384 | 5,056,316,898 | PR_kwDODunzps76VB6Y | 8,384 | Fix IterableDataset.remove_columns when a single column name is passed | {
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```python
ds = Dataset.from_dict... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8383 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8383/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8383/comments | https://api.github.com/repos/huggingface/datasets/issues/8383/events | https://github.com/huggingface/datasets/pull/8383 | 5,056,314,094 | PR_kwDODunzps76VBUb | 8,383 | Apply the indices mapping in Dataset.unique | {
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```python
if self._indices is not None and self._indices.num_rows != self._data.num_rows:
```
An indices mapping can also repeat some rows and drop others while keeping the same length. In th... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8382 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8382/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8382/comments | https://api.github.com/repos/huggingface/datasets/issues/8382/events | https://github.com/huggingface/datasets/pull/8382 | 5,053,067,850 | PR_kwDODunzps76KnWs | 8,382 | Fix IterableDataset.to_dict() and to_polars() returning an empty generator | {
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`IterableDataset.to_dict()` and `IterableDataset.to_polars()` each contain a bare `yield` in their `batched=True` branch. A bare `yield` anywhere in a function body makes the whole function a generator function, so both methods return a generator on every call, including the `batched=False` default. That g... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8381 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8381/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8381/comments | https://api.github.com/repos/huggingface/datasets/issues/8381/events | https://github.com/huggingface/datasets/issues/8381 | 5,053,065,106 | I_kwDODunzps8AAAABLS-nkg | 8,381 | IterableDataset.to_dict() and to_polars() return an empty generator instead of the data | {
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"#take"
] | 2026-08-03T18:35:13 | 2026-08-03T18:35:25 | null | null | CONTRIBUTOR | [] | null | null | {
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`IterableDataset.to_dict()` and `IterableDataset.to_polars()` each have a bare `yield` in their `batched=True` branch, which makes the whole method a generator function. Calling either one the way its docstring shows returns a generator that yields nothing, and the value the `else` branch returns ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8380 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8380/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8380/comments | https://api.github.com/repos/huggingface/datasets/issues/8380/events | https://github.com/huggingface/datasets/pull/8380 | 5,035,622,149 | PR_kwDODunzps75T9aA | 8,380 | Speed up default Python row extraction | {
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"Thanks for catching this. The row fast path was bypassing `ArrayExtensionArray.to_pylist()`, which owns ArrayXD shape and null conversion.\n\nI updated `extract_row` to use `to_pylist()[0]` only for ArrayXD columns. Standard columns still use `col[0].as_py()`, so the ordinary fast path is unchanged. I also added a... | 2026-08-01T06:13:11 | 2026-08-01T08:27:47 | null | null | NONE | [] | null | null | null | null | ## Problem
`PythonArrowExtractor.extract_row` runs once per row on the default read path (every `for row in ds` and every `ds[i]`), and it does more work than it needs to:
```python
def extract_row(self, pa_table: pa.Table) -> dict:
return _unnest(pa_table.to_pydict())
```
`pa_table` here is always a one-row tab... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8379 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8379/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8379/comments | https://api.github.com/repos/huggingface/datasets/issues/8379/events | https://github.com/huggingface/datasets/pull/8379 | 5,033,796,787 | PR_kwDODunzps75OPzP | 8,379 | Preserve features after IterableDataset.add_column | {
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"Closing this as a duplicate of #8316, which is already tracking the same `IterableDataset.add_column` feature preservation change and the 2D ndarray inference concern. Better to keep the discussion in one place."
] | 2026-07-31T22:19:06 | 2026-08-03T22:06:30 | 2026-08-03T22:06:30 | null | NONE | [] | null | null | null | null | ## Summary
- preserve known `IterableDataset` features when `add_column` appends a streaming column
- infer the appended column feature from the provided column values
- add a regression test for `add_column` after resolving iterable dataset features
Fixes #5752.
## Testing
- local repro with `IterableDataset.from_... | {
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https://api.github.com/repos/huggingface/datasets/issues/8378 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8378/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8378/comments | https://api.github.com/repos/huggingface/datasets/issues/8378/events | https://github.com/huggingface/datasets/pull/8378 | 5,029,934,393 | PR_kwDODunzps75Bwbf | 8,378 | feat: add return_file_name option to JSON loader | {
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Adds a `return_file_name` option to the JSON loader. When enabled, the resulting dataset includes a `file_name` column indicating the source file of each row.
## Motivation
When training is interrupted and resumed, it's useful to know which file each row came from so already-trained sh... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8377 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8377/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8377/comments | https://api.github.com/repos/huggingface/datasets/issues/8377/events | https://github.com/huggingface/datasets/pull/8377 | 5,027,590,302 | PR_kwDODunzps746K85 | 8,377 | Fix PandasArrayExtensionDtype._metadata: must be a tuple, not a string | {
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"This is a copy of a PR I have already created: https://github.com/huggingface/datasets/pull/8376",
"Thanks for flagging, @kohankhaki — closing this in favor of #8376 since it's the same fix."
] | 2026-07-31T07:47:13 | 2026-08-02T15:55:12 | 2026-08-02T15:55:12 | null | NONE | [] | null | null | null | null | ## Summary
Fixes #8375 — `PandasArrayExtensionDtype._metadata` is a plain string instead of a tuple, causing `AttributeError: 'PandasArrayExtensionDtype' object has no attribute 'v'` whenever pandas compares two instances of this dtype (e.g. during a boolean-mask filter on a DataFrame with an array-feature column read ... | {
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https://api.github.com/repos/huggingface/datasets/issues/8376 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8376/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8376/comments | https://api.github.com/repos/huggingface/datasets/issues/8376/events | https://github.com/huggingface/datasets/pull/8376 | 5,025,670,677 | PR_kwDODunzps740EFW | 8,376 | Fix PandasArrayExtensionDtype._metadata to use a tuple | {
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`PandasArrayExtensionDtype` set `_metadata = "value_type"` (a string), but pandas expects a tuple of attribute names, e.g. `("value_type",)`.
When pandas compares dtypes (during things like `df[mask]`), it loops over `_metadata` and looks up each entry as an attribute. With a string, it iterates ove... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8375 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8375/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8375/comments | https://api.github.com/repos/huggingface/datasets/issues/8375/events | https://github.com/huggingface/datasets/issues/8375 | 5,025,604,085 | I_kwDODunzps8AAAABK4yh9Q | 8,375 | `PandasArrayExtensionDtype._metadata` should be a tuple, not a string | {
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} | ### Describe the bug
There's a small typo in `PandasArrayExtensionDtype` (`src/datasets/features/features.py`):
```python
_metadata = "value_type"
```
Pandas expects `_metadata` to be a tuple of attribute names, like `("value_type",)`, not a plain string ([API documentation ref](https://pandas.pydata.org/docs/refer... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8374 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8374/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8374/comments | https://api.github.com/repos/huggingface/datasets/issues/8374/events | https://github.com/huggingface/datasets/pull/8374 | 5,020,005,801 | PR_kwDODunzps74hvA5 | 8,374 | feat: Qdrant Search Index | {
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"The test case issue you mentioned is covered."
] | 2026-07-30T13:04:05 | 2026-07-31T13:33:11 | null | null | NONE | [] | null | null | null | null | Resolves #5698
## Description
This PR adds Qdrant as a vector search backend alongside FAISS and Elasticsearch. Associated documentation and tests are also included. The Qdrant client dependency is marked optional and installed on demand.
[Qdrant](https://qdrant.tech/) is an open-source vector search engine b... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8373 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8373/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8373/comments | https://api.github.com/repos/huggingface/datasets/issues/8373/events | https://github.com/huggingface/datasets/issues/8373 | 5,010,686,962 | I_kwDODunzps8AAAABKqkD8g | 8,373 | TypeError in _dill.py _batch_setitems with Python 3.14 | {
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"Hey Mates, this works: In src/datasets/utils/_dill.py, starting around line 71, update the _batch_setitems overriding to pass the obj argument downstream.\n\n def _batch_setitems(self, items, obj=None):\n if self._legacy_no_dict_keys_sorting:\n return super()._batch_setitems(items,... | 2026-07-29T15:00:19 | 2026-08-01T19:30:07 | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
When using `load_dataset` on Python 3.14, a `TypeError` is raised during the fingerprinting process inside the bundled `_dill.py`. This happens because Python 3.14 changed the signature of the internal C-level `_Pickler._batch_setitems` to require 3 arguments (`self, items, obj`), while `datasets/... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8372 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8372/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8372/comments | https://api.github.com/repos/huggingface/datasets/issues/8372/events | https://github.com/huggingface/datasets/pull/8372 | 5,001,648,344 | PR_kwDODunzps73mRCJ | 8,372 | docs: make repository structure guide prominent in quickstart (#5971) | {
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### Summary of Documentation Improvements:
- **\docs/source/create_dataset.mdx\**: Added a callout link in the introductory **Note** block pointing to the \
epository_structure\ guide so users creating a dataset can easily find guidance on organizing files, splits, and formats.
- **\docs/source/index.mdx\*... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8368 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8368/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8368/comments | https://api.github.com/repos/huggingface/datasets/issues/8368/events | https://github.com/huggingface/datasets/pull/8368 | 4,983,366,989 | PR_kwDODunzps72rBVf | 8,368 | Reject duplicate column names in Dataset.select_columns | {
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`Dataset.select_columns` checks that every requested column exists, but never checks that the request is free of duplicates:
```python
missing_columns = set(column_names) - set(self._data.column_names)
if missing_columns:
raise ValueError(...)
```
Passing the same name twice then produces a datas... | null | {
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] | 2026-07-26T07:48:59 | 2026-07-28T10:01:47 | 2026-07-28T10:01:47 | null | CONTRIBUTOR | [] | null | null | null | null | Pushing a `DatasetDict` that drops a split leaves the repo unloadable:
```python
DatasetDict({"train": ds_train, "test": ds_test}).push_to_hub("user/repo")
DatasetDict({"train": ds_train}).push_to_hub("user/repo") # "test" is gone
load_dataset("user/repo")
# ValueError: Couldn't infer the same data file format for ... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_8366). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
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`Dataset.to_json`, `to_csv` and `to_sql` write a nullable integer column as floating point rather than integers.
Fixes #8365.
### Root cause
The three writers build a pandas frame with a bare `batch.to_pandas()`:
- `io/json.py` `_batch_json`
- `io/csv.py` `_batch_csv`
- `io/sql.py` `_batch_sql`... | {
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} | ### Describe the bug
`Dataset.to_json`, `to_csv`, and `to_sql` write a nullable integer column as floating point rather than integers. All three writers (`io/json.py`, `io/csv.py`, `io/sql.py`) call `batch.to_pandas()` with pyarrow's default `integer_object_nulls=False`, which casts any integer column containing a nul... | {
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] | 2026-07-24T04:32:47 | 2026-07-25T12:11:31 | 2026-07-24T11:59:11 | null | CONTRIBUTOR | [] | null | null | null | null | ## What does this PR do?
Fixes #8362.
A fixed-shape `ArrayXD` column (`Array2D(shape=(1, 2), dtype="int64")`, and so on) that contains a `None` row is silently cast to float on the python read path: `to_dict()` / `to_pylist()` return every value as a float, and integers above 2**53 are altered, because an unrelated r... | {
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} | ### Describe the bug
A fixed-shape `ArrayXD` column (for example `Array2D(shape=(1, 2), dtype="int64")`) that contains at least one `None` row is silently cast to float on the python read path. `to_dict()` / `to_pylist()` return every value as a float, and integers above 2**53 lose precision, purely because an unrelat... | {
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## What
Changes the type annotation of `path_or_paths` from `Union[PathLike, list[PathLike]]`
to `Union[PathLike, Sequence[PathLike]]` in:
- `Dataset.from_csv`
- `Dataset.from_json`
- `Dataset.from_parquet`
- `Dataset.from_text`
## Why
`list` is invariant in mypy, so passing a `List[Union[str, ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8360 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8360/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8360/comments | https://api.github.com/repos/huggingface/datasets/issues/8360/events | https://github.com/huggingface/datasets/pull/8360 | 4,964,933,053 | PR_kwDODunzps71rB6x | 8,360 | Rebatch arrow source before formatting in IterableDataset.filter to fix resume data loss | {
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] | 2026-07-24T03:36:42 | 2026-07-25T12:11:30 | 2026-07-24T12:06:19 | null | CONTRIBUTOR | [] | null | null | null | null | ## Root cause
`IterableDataset.filter()` wraps the Arrow source in `FormattedExamplesIterable` but, unlike `map()`, does not first wrap it in `RebatchedArrowExamplesIterable(batch_size=1)`. `FormattedExamplesIterable.__iter__` takes the Arrow branch and pulls a whole table from `ArrowExamplesIterable`, advancing `shar... | {
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} | ### Describe the bug
Resuming a streaming `IterableDataset.filter()` from a `state_dict()` checkpoint silently drops rows: the remainder of the in-flight Arrow table is skipped. For a single-shard dataset this loses up to a full row group per checkpoint, and for a single-table shard it can drop every unconsumed row.
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] | 2026-07-24T00:14:48 | 2026-07-25T12:11:29 | 2026-07-24T11:54:35 | null | CONTRIBUTOR | [] | null | null | null | null | ### Bug
`CsvConfig.pd_read_csv_kwargs` silently drops `on_bad_lines` and `encoding_errors` on pandas 2.0, 2.1, and 2.2, so `load_dataset("csv", ..., on_bad_lines="skip")` (or `"warn"`, or a non-default `encoding_errors`) is ignored and a malformed row raises `ParserError` instead of being skipped.
The version guard e... | {
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] | 2026-07-23T12:19:14 | 2026-07-24T11:51:41 | 2026-07-24T11:51:41 | null | CONTRIBUTOR | [] | null | null | null | null | Four fixes on the `buckets/...` read/write paths, hit by `push_to_hub` → `load_dataset`. The loader one crashes on any dataset with a README; the writer ones corrupt uploaded metadata.
## Key Changes
- **Bucket card loading** (`src/datasets/load.py`)**:** passed the card object instead of its `.data`, crashing on loa... | {
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"Note users can already use `state_dict = ds.state_dict()` / `ds.load_state_dict(state_dict)` to checkpoint and resume training, which not only resumes at the right shard, but also at the right sample and taking into account any map()/filter()/shard()/split_dataset_by_node()/etc. operation and which works with any ... | 2026-07-23T09:51:50 | 2026-07-24T11:57:10 | 2026-07-24T11:57:10 | null | NONE | [] | null | null | null | null | Fixes #5806
Adds an optional `return_file_name` parameter to the JSON loader (load_dataset).
When set to True, a `file_name` column is added with the source file path,
useful for resuming training from checkpoints by skipping already-used shards. | {
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https://api.github.com/repos/huggingface/datasets/issues/8352 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8352/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8352/comments | https://api.github.com/repos/huggingface/datasets/issues/8352/events | https://github.com/huggingface/datasets/pull/8352 | 4,957,534,015 | PR_kwDODunzps71TFA9 | 8,352 | Keep flat numeric columns with nulls numeric in numpy format | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_8352). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"The two failing legs (deps-minimum and py314) both fail on one test, tests/features/tes... | 2026-07-23T09:41:44 | 2026-07-23T17:35:14 | 2026-07-23T17:32:24 | null | CONTRIBUTOR | [] | null | null | null | null | Fixes #8351
## Root cause
`NumpyArrowExtractor._arrow_array_to_numpy` decides `dtype=object` with:
```python
if any(
(isinstance(x, np.ndarray) and (x.dtype == object or x.shape != array[0].shape))
or (isinstance(x, float) and np.isnan(x))
for x in array
):
```
The second clause was added in #3195 to ha... | {
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https://api.github.com/repos/huggingface/datasets/issues/8351 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8351/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8351/comments | https://api.github.com/repos/huggingface/datasets/issues/8351/events | https://github.com/huggingface/datasets/issues/8351 | 4,957,529,406 | I_kwDODunzps8AAAABJ33lPg | 8,351 | with_format('numpy') promotes flat float64/int columns with nulls to dtype=object (float32 stays numeric) | {
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} | ### Describe the bug
`NumpyArrowExtractor._arrow_array_to_numpy` (used by `Dataset.with_format("numpy")`) promotes a flat, homogeneous numeric column to `dtype=object` when the column contains nulls, but only for `float64`/`int64` columns. A `float32` column is returned as a numeric array. The result is a silent wrong... | {
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https://api.github.com/repos/huggingface/datasets/issues/8350 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8350/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8350/comments | https://api.github.com/repos/huggingface/datasets/issues/8350/events | https://github.com/huggingface/datasets/pull/8350 | 4,946,198,947 | PR_kwDODunzps70uU75 | 8,350 | fix: validate Arrow IPC record batches | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_8350). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2026-07-22T06:36:56 | 2026-07-22T13:26:37 | 2026-07-22T13:26:35 | null | MEMBER | [] | null | null | null | null | ## Summary
- fully validate each Arrow IPC record batch before converting it to a table
- reject malformed array offsets at the ingestion boundary
- add a safe regression fixture that is accepted by structural validation but rejected by full validation
`pa.Table.from_batches` does not perform full record batch valida... | {
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https://api.github.com/repos/huggingface/datasets/issues/8349 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8349/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8349/comments | https://api.github.com/repos/huggingface/datasets/issues/8349/events | https://github.com/huggingface/datasets/pull/8349 | 4,941,260,112 | PR_kwDODunzps70eZSn | 8,349 | Fix require_storage_embed recursing into require_storage_cast | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_8349). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"Good catch, thanks. You are right that a bare `[Audio()]` list/tuple is a valid Feature... | 2026-07-21T17:02:01 | 2026-07-28T16:08:34 | 2026-07-22T18:37:05 | null | CONTRIBUTOR | [] | null | null | null | null | ### Summary
`require_storage_embed` decides whether a (possibly nested) feature needs its data embedded into storage. For nested features it dispatches to the wrong helper and can report the wrong answer.
### Root cause
The recursive branches call `require_storage_cast` instead of recursing into `require_storage_emb... | {
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https://api.github.com/repos/huggingface/datasets/issues/8348 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8348/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8348/comments | https://api.github.com/repos/huggingface/datasets/issues/8348/events | https://github.com/huggingface/datasets/pull/8348 | 4,937,175,630 | PR_kwDODunzps70Q7yM | 8,348 | Optimize dataset loading by reusing metadata in `data_files.py` | {
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"Without analysing the specific code, I approve the gist of what it being done: file listings always inherently fetch all file information on the backend. This could be cached by filesystems themselves or, as here, explicitly passed around to be queried internally.",
"@lhoestq Could you take a look at this PR pl... | 2026-07-21T09:01:32 | 2026-07-25T00:19:59 | null | null | NONE | [] | null | null | null | null | Fix #8197
This PR addresses the performance overhead during the data files pattern resolution phase by reusing the filesystem metadata that is already fetched by `fs.glob(..., detail=True)`. Previously, this metadata was discarded, requiring a subsequent and redundant `fs.info()` network call in `_get_single_origin_... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8347 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8347/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8347/comments | https://api.github.com/repos/huggingface/datasets/issues/8347/events | https://github.com/huggingface/datasets/pull/8347 | 4,935,412,363 | PR_kwDODunzps70LL0_ | 8,347 | fix: correct typos and improve exception handling patterns | {
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This PR fixes two types of code quality issues:
1. **Typo fixes**: Correct "simulatenous" to "simultaneous" in 2 places in iterable_dataset.py
2. **Exception handling**: Replace `raise error`/`raise e` with bare `raise` to preserve original stack trace (2 places)
## Changes
- `src/datasets/iterable_dataset... | {
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https://api.github.com/repos/huggingface/datasets/issues/8346 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8346/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8346/comments | https://api.github.com/repos/huggingface/datasets/issues/8346/events | https://github.com/huggingface/datasets/pull/8346 | 4,923,409,566 | PR_kwDODunzps7zkX2h | 8,346 | Fix casting a nullable LargeList to a different inner type | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_8346). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2026-07-19T16:10:03 | 2026-07-22T17:29:20 | 2026-07-22T17:29:19 | null | CONTRIBUTOR | [] | null | null | null | null | ## What's the bug
`_combine_list_array_offsets_with_mask` (in `src/datasets/table.py`) rebuilds a list array's offsets with the null bitmap applied, using an `int32` null-fill:
```python
offsets = array.offsets
if array.null_count > 0:
offsets = pa.concat_arrays(
[
pc.replace_with_mask(offsets... | {
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https://api.github.com/repos/huggingface/datasets/issues/8345 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8345/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8345/comments | https://api.github.com/repos/huggingface/datasets/issues/8345/events | https://github.com/huggingface/datasets/pull/8345 | 4,922,536,945 | PR_kwDODunzps7zhv4Z | 8,345 | Include archive path in WebDataset TAR read errors | {
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"CI waiting on maintainer workflow approval (`action_required`). Local WebDataset ReadError-path tests are green.",
"related: this covers the WebDataset TAR ReadError path from #7280; broader `_iter_from_urlpath` remainder left for a follow-up.",
"I would still include the origin, in most cases it's a hf:// URL... | 2026-07-19T11:48:15 | 2026-07-28T10:08:00 | null | null | NONE | [] | null | null | null | null | Fixes #7280
## What changed
WebDataset catches `tarfile.ReadError` around TAR processing and re-raises with the resolved archive path; original remains on `__cause__`.
Covers failures while advancing the archive iterator and while reading a member payload (feature inference and example generation).
Uses `str(tar_pa... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8344 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8344/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8344/comments | https://api.github.com/repos/huggingface/datasets/issues/8344/events | https://github.com/huggingface/datasets/pull/8344 | 4,920,845,340 | PR_kwDODunzps7zck9T | 8,344 | Decode Json() columns in Dataset.to_pandas() | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_8344). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2026-07-19T01:44:58 | 2026-07-25T12:11:29 | 2026-07-24T13:19:07 | null | CONTRIBUTOR | [] | null | null | null | null | ## What does this PR do?
`Dataset.to_pandas()` returned the raw Arrow storage strings for `Json()` feature columns, while every other in-memory export path decodes them. `to_dict()`, `to_list()`, `to_json()` and `with_format("pandas")` all apply `get_json_field_paths_from_feature` + `json_decode_field`; `to_pandas()` ... | {
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https://api.github.com/repos/huggingface/datasets/issues/8343 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8343/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8343/comments | https://api.github.com/repos/huggingface/datasets/issues/8343/events | https://github.com/huggingface/datasets/issues/8343 | 4,920,845,126 | I_kwDODunzps8AAAABJU4jRg | 8,343 | Dataset.to_pandas() returns raw JSON strings for Json() columns instead of decoded objects | {
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} | ### Describe the bug
`Dataset.to_pandas()` returns the raw Arrow storage strings for `Json()` feature columns, while every other in-memory export path decodes them to Python objects. `to_dict()`, `to_list()`, `to_json()` and `with_format("pandas")` all run `get_json_field_paths_from_feature` + `json_decode_field`, but... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_8342). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2026-07-18T09:42:36 | 2026-07-22T18:44:49 | 2026-07-22T18:35:30 | null | CONTRIBUTOR | [] | null | null | null | null | Fixes #8341
### Root cause
`HorizontallyConcatenatedMultiSourcesExamplesIterable._iter_arrow` accumulates the concatenated batch with:
```python
for name, col in zip(table.column_names, table.columns):
new_pa_table = pa_table.append_column(name, col)
```
`pa_table` here is the loop variable that leaked from the... | {
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https://api.github.com/repos/huggingface/datasets/issues/8341 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8341/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8341/comments | https://api.github.com/repos/huggingface/datasets/issues/8341/events | https://github.com/huggingface/datasets/issues/8341 | 4,917,723,283 | I_kwDODunzps8AAAABJR6Akw | 8,341 | concatenate_datasets(axis=1) with Arrow format drops the first source's columns | {
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"#self-assign"
] | 2026-07-18T09:41:43 | 2026-07-22T18:35:31 | 2026-07-22T18:35:31 | null | CONTRIBUTOR | [] | null | null | {
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} | ### Describe the bug
The Arrow fast path of horizontal concatenation (`concatenate_datasets([...], axis=1)` consumed through `.with_format("arrow")`, or any Arrow/tensor consumer) drops the columns of the first source. The plain-Python path is correct; only the Arrow path diverges.
`HorizontallyConcatenatedMultiSourc... | {
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https://api.github.com/repos/huggingface/datasets/issues/8340 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8340/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8340/comments | https://api.github.com/repos/huggingface/datasets/issues/8340/events | https://github.com/huggingface/datasets/pull/8340 | 4,908,511,747 | PR_kwDODunzps7y1YDI | 8,340 | Make Dataset generic to allow specifying column types in typehints | {
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## What does this PR do?
Makes `Dataset` optionally generic so its column types can be specified in a
typehint, similar to how `torch.utils.data.DataLoader[T]` works today (as
requested in the issue).
Before, the only way to document a dataset's columns was a docstring comment:
```python
from datasets ... | null | {
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] | 2026-07-16T19:11:10 | 2026-07-22T17:28:50 | 2026-07-22T17:28:50 | null | CONTRIBUTOR | [] | null | null | null | null | Fixes #8327.
As discussed in the issue, the OOM in `Dataset.from_pandas` comes from `generate_fingerprint`, not from the Arrow conversion. Fingerprinting hashes `dataset.__dict__`, and the underlying `pa.Table` (and the `InMemoryTable` wrapping it) pickles chunk-by-chunk, so the serialized size and the hashing cost ... | {
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https://api.github.com/repos/huggingface/datasets/issues/8338 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8338/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8338/comments | https://api.github.com/repos/huggingface/datasets/issues/8338/events | https://github.com/huggingface/datasets/pull/8338 | 4,898,613,660 | PR_kwDODunzps7yVTjf | 8,338 | Include file size in dataset fingerprint | {
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Currently, the dataset cache fingerprints rely entirely on the `ETag`/`etag`/`mtime` metadata fetched during `fs.info()`. If a file's byte size changes on the remote end—and the remote backend fails to reliably update the ETag—the dataset fingerprint stays improperly static. This leads to insidious bugs... | null | {
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] | 2026-07-15T17:01:52 | 2026-07-21T10:24:31 | 2026-07-21T10:24:29 | null | MEMBER | [] | null | null | null | null | this will fix errors in the viewer for webdatasets | {
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Adds a WebDataset example to the video dataset docs showing how multiple media files of the same type per sample are mapped. | null | {
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"Closing this — on review the fix only covers the equal-length case. The arrow (`_iter_arrow`) path also needs to pad different-length sources with nulls the way the non-arrow path does, otherwise horizontal concat of unequal-length sources raises `ArrowInvalid`. I'd rather rework it to handle that completely befor... | 2026-07-15T13:18:15 | 2026-07-15T14:33:35 | 2026-07-15T14:33:35 | null | NONE | [] | null | null | null | null | ## Bug
`concatenate_datasets([...], axis=1)` over arrow-backed `IterableDataset`s (e.g. from `.to_iterable_dataset()`) silently drops the **first** dataset's columns and duplicates the **last** dataset's column.
In `HorizontallyConcatenatedMultiSourcesExamplesIterable._iter_arrow`, the merged table is built by append... | {
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https://api.github.com/repos/huggingface/datasets/issues/8334 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8334/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8334/comments | https://api.github.com/repos/huggingface/datasets/issues/8334/events | https://github.com/huggingface/datasets/pull/8334 | 4,889,848,578 | PR_kwDODunzps7x4y28 | 8,334 | fix #5354 | {
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It replaces `list[PathLike]` with `Sequence[PathLike]`. Since `list` is invariant and `Sequence` is covariant, this prevents users f... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8333 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8333/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8333/comments | https://api.github.com/repos/huggingface/datasets/issues/8333/events | https://github.com/huggingface/datasets/pull/8333 | 4,884,858,928 | PR_kwDODunzps7xons8 | 8,333 | Support batched=True in Dataset.to_dict | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_8333). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"can you run `make style` to fix the code formatting ?",
"Done, ran `make style` and p... | 2026-07-14T16:03:25 | 2026-07-23T15:41:56 | 2026-07-23T15:41:56 | null | CONTRIBUTOR | [] | null | null | null | null | ## What does this do?
`Dataset.to_dict(batch_size=..., batched=True)` silently ignores both arguments and always returns the full dict, even though its signature, docstring ("Set to `True` to return a generator that yields the dataset as batches"), and `-> Union[dict, Iterator[dict]]` return type all promise batching.... | {
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https://api.github.com/repos/huggingface/datasets/issues/8332 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8332/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8332/comments | https://api.github.com/repos/huggingface/datasets/issues/8332/events | https://github.com/huggingface/datasets/pull/8332 | 4,884,200,474 | PR_kwDODunzps7xmdbe | 8,332 | Raise on length mismatch in batched IterableDataset.map | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_8332). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2026-07-14T14:44:36 | 2026-07-22T18:36:27 | 2026-07-22T18:36:27 | null | CONTRIBUTOR | [] | null | null | null | null | ## Problem
`IterableDataset.map(fn, batched=True)` can silently drop or misalign rows when the mapping function changes the batch's row count but does not re-emit every retained input column.
In `MappedExamplesIterable._iter`, `prepare_outputs` merges the batch with `transformed_inputs = {**inputs, **processed_inputs... | {
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https://api.github.com/repos/huggingface/datasets/issues/8331 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8331/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8331/comments | https://api.github.com/repos/huggingface/datasets/issues/8331/events | https://github.com/huggingface/datasets/issues/8331 | 4,883,801,676 | I_kwDODunzps8AAAABIxjmTA | 8,331 | datasets-server.huggingface.co returning 503 on every endpoint (whole host down, not one route) | {
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"Hi ! Thanks for the ping, yes we are aware of the issue and actively working on it. It's taking some time though since we want to make sure it will be 100% back and for good.\n\nThis impacts both the API and the Viewer on HF which is based on it",
"Seems to be up and running properly now I'll conclude this issue... | 2026-07-14T13:59:29 | 2026-07-17T12:09:35 | 2026-07-17T12:09:34 | null | NONE | [] | null | null | {
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"blocked_by": 0,
"total_blocked_by": 0,
"blocking": 0,
"total_blocking": 0
} | ### Describe the bug
The entire datasets-server.huggingface.co backend (the dataset-viewer API) is
returning 503 Service Temporarily Unavailable on every route I've tried, not
just one endpoint. It reproduces on public datasets with no auth token, so it
doesn't appear to be account- or dataset-specific. huggingface.co... | {
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https://api.github.com/repos/huggingface/datasets/issues/8330 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8330/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8330/comments | https://api.github.com/repos/huggingface/datasets/issues/8330/events | https://github.com/huggingface/datasets/issues/8330 | 4,883,330,907 | I_kwDODunzps8AAAABIxG3Ww | 8,330 | Dataset Studio and Viewer down | {
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"Hi ! Thanks for the ping, yes we are aware of the issue and actively working on it. It's taking some time though since we want to make sure it will be 100% back and for good"
] | 2026-07-14T13:06:53 | 2026-07-24T15:26:15 | 2026-07-24T15:26:15 | null | NONE | [] | null | null | {
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"blocked_by": 0,
"total_blocked_by": 0,
"blocking": 0,
"total_blocking": 0
} | ### Describe the bug
Hello!
I want to report a bug on the datasets viewer and data studio pages. I have attempted to access it on various datasets from various devices and it will not let me view the dataset this way. I have tried restarting, login in and out but to no success. I use Hugging Face as a repository th... | {
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https://api.github.com/repos/huggingface/datasets/issues/8329 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8329/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8329/comments | https://api.github.com/repos/huggingface/datasets/issues/8329/events | https://github.com/huggingface/datasets/pull/8329 | 4,882,090,554 | PR_kwDODunzps7xfhUD | 8,329 | fix: replace list/List with Sequence in function parameter annotations | {
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Replaces `list[T]` with `Sequence[T]` in function parameter type annotations across `arrow_dataset.py`, `dataset_dict.py`, and `iterable_dataset.py`.
The built-in `list` is invariant in its type parameter, so passing a `List[str]` where `list[PathLike]` is expected causes a mypy error. `Sequence` is cova... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8328 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8328/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8328/comments | https://api.github.com/repos/huggingface/datasets/issues/8328/events | https://github.com/huggingface/datasets/issues/8328 | 4,881,665,580 | I_kwDODunzps8AAAABIvhOLA | 8,328 | Streaming datasets fail with 403 SignatureError: invalid key pair id from xet-bridge-us (Colab, latest libraries) | {
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"Hi ! I couldn't reproduce the issue on my side. I can see two options, let me know if any helps you:\n\n1) this was a transient issue (we restarted some machines recently but this shouldn't have impacted you tbh), can you try again just in case ?\n2) something is wrong with your token smh, can you logout and login... | 2026-07-14T09:21:43 | 2026-07-24T15:26:24 | 2026-07-24T15:26:24 | null | NONE | [] | null | null | {
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"total_blocking": 0
} | ### Describe the bug
I'm unable to stream datasets from the Hugging Face Hub. The issue affects both public datasets (e.g. beans) and gated datasets (ILSVRC/imagenet-1k).
The failure occurs before any examples are yielded. The request is redirected to the Xet CDN (xet-bridge-us) and fails with:
```
403 Forbidden
Au... | {
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https://api.github.com/repos/huggingface/datasets/issues/8327 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8327/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8327/comments | https://api.github.com/repos/huggingface/datasets/issues/8327/events | https://github.com/huggingface/datasets/issues/8327 | 4,874,477,254 | I_kwDODunzps8AAAABIoqexg | 8,327 | `Dataset.from_pandas` allocates ~1 MB per Arrow chunk, Out of Memory errors | {
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"The measurements in the issue point at `from_pandas`, but I think the allocation is actually in fingerprinting, and not in the Arrow conversion at all.\n\nOn datasets 5.0.0 I get:\n\n| step | peak |\n|---|---|\n| `pa.Table.from_pandas(df)` | ~0 MB |\n| `Dataset.from_pandas(df)` | 1499 MB |\n| `generate_fingerprint... | 2026-07-13T14:13:38 | 2026-07-22T17:28:51 | 2026-07-22T17:28:51 | null | NONE | [] | null | null | {
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} | ### Describe the bug
`Dataset.from_pandas` memory usage scales with the chunk count of the backing Arrow array (around 1 MB per chunk).
`Dataset.shuffle()` followed by `to_pandas()` produces string columns with one chunk per row, so a 25k-row DataFrame holding ~32 MB of text allocates ~30 GB on the way back through ... | {
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https://api.github.com/repos/huggingface/datasets/issues/8326 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8326/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8326/comments | https://api.github.com/repos/huggingface/datasets/issues/8326/events | https://github.com/huggingface/datasets/pull/8326 | 4,871,148,453 | PR_kwDODunzps7w78O8 | 8,326 | docs: replace AutoFeatureExtractor with AutoImageProcessor in image preprocessing docs | {
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Replaces deprecated with the modern in the image preprocessing example in . | {
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https://api.github.com/repos/huggingface/datasets/issues/8325 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8325/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8325/comments | https://api.github.com/repos/huggingface/datasets/issues/8325/events | https://github.com/huggingface/datasets/pull/8325 | 4,869,263,834 | PR_kwDODunzps7w2Bma | 8,325 | Fix path traversal via metadata file_name in folder-based builders | {
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"Thanks, both addressed.\n\n**1. `dummy/../../../`:** this is actually already caught — `file_name` is run through `os.path.normpath` before the check, so `dummy/../../../etc/passwd` normalizes to `../../etc/passwd` and is rejected by the existing `..` guard. I added explicit regression tests (`dummy/../../../etc/p... | 2026-07-12T23:48:39 | 2026-07-23T15:37:56 | 2026-07-23T15:37:56 | null | CONTRIBUTOR | [] | null | null | null | null | Fix #8324
### Vulnerability
The folder-based builders (`imagefolder`, `audiofolder`, `videofolder`, `pdffolder`) resolve each metadata row's `file_name` by joining it to the metadata file's directory with no containment check. A malicious dataset can set `file_name` to a `../`-traversal path or an absolute path, caus... | {
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https://api.github.com/repos/huggingface/datasets/issues/8324 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8324/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8324/comments | https://api.github.com/repos/huggingface/datasets/issues/8324/events | https://github.com/huggingface/datasets/issues/8324 | 4,867,649,641 | I_kwDODunzps8AAAABIiJwaQ | 8,324 | Path traversal / arbitrary file read via the `file_name` metadata field in `*folder` dataset builders (no `trust_remote_code`) | {
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"#self-assign"
] | 2026-07-12T15:38:21 | 2026-07-23T15:37:57 | 2026-07-23T15:37:57 | null | NONE | [] | null | null | {
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"blocked_by": 0,
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"blocking": 0,
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} | ### Describe the bug
reported via email on 9 June 2026 - no acknowledgement or response:
Package: datasets (PyPI). Affected file: src/datasets/packaged_modules/folder_based_builder/folder_based_builder.py
Affected Versions: confirmed on 5.0.0 (PyPI) and HEAD 63e103e.
CVSS: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N... | {
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https://api.github.com/repos/huggingface/datasets/issues/8323 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8323/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8323/comments | https://api.github.com/repos/huggingface/datasets/issues/8323/events | https://github.com/huggingface/datasets/pull/8323 | 4,863,233,039 | PR_kwDODunzps7wku51 | 8,323 | Raise on Dataset.rename_columns name collision with an existing column | {
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"the swap case you added a test for only works on Dataset — the streaming side diverges. IterableDataset.rename_columns goes through _rename_columns_fn, which raises if `any(col in example for col in column_mapping.values())`, so `{\"col_1\": \"col_2\", \"col_2\": \"col_1\"}` blows up at iteration time even though ... | 2026-07-11T16:44:11 | 2026-08-03T02:43:21 | null | null | NONE | [] | null | null | null | null | ### What
`Dataset.rename_column` (singular) already rejects a new column name that collides with an
existing column:
```python
>>> ds.rename_column("foo", "bar") # "bar" already exists
ValueError: New column name bar already in the dataset. ...
```
`Dataset.rename_columns` (plural, dict-based) has no equivalent che... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8322 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8322/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8322/comments | https://api.github.com/repos/huggingface/datasets/issues/8322/events | https://github.com/huggingface/datasets/pull/8322 | 4,862,220,787 | PR_kwDODunzps7whovv | 8,322 | feat: use `ListLike` instead of `list` in path type hints | {
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"Hi team 👋 just checking in on this one — it's a small type-hint change that follows the existing convention already used in this file. Would appreciate a review when anyone gets a chance. Thanks!"
] | 2026-07-11T12:22:02 | 2026-07-22T14:08:44 | null | null | NONE | [] | null | null | null | null | ---
## Description
Changed type annotations from `list[PathLike]` to `ListLike[PathLike]` in
`from_csv`, `from_json`, `from_parquet`, and `from_text`.
`list` type hints are invariant — passing a `tuple` of paths fails mypy even
though it works fine at runtime. `ListLike` (defined in
`src/datasets/utils/typing.py`) ac... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8321 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8321/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8321/comments | https://api.github.com/repos/huggingface/datasets/issues/8321/events | https://github.com/huggingface/datasets/pull/8321 | 4,861,816,606 | PR_kwDODunzps7wgZfn | 8,321 | Fix: Resolve Sequence type hints and add from_jsonl alias (#5354) | {
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## Proposed Changes
- Updates features typing to use Sequence instead of List/Tuple in from_json and from_parquet parsing functions.
- Adds from_jsonl as an explicit wrapper to from_json for dataset creation, providing API symmetry with to_jsonl.
- Includes dedicated tests for the new from_jsonl alias in a... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8320 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8320/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8320/comments | https://api.github.com/repos/huggingface/datasets/issues/8320/events | https://github.com/huggingface/datasets/pull/8320 | 4,860,517,539 | PR_kwDODunzps7wcTTb | 8,320 | docs: add community health files (CHANGELOG.md) | {
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Adds missing open-source community health files:
- **CHANGELOG.md** — Keep a Changelog format, Semantic Versioning
- **README.md** — contributor profile link
### Why
These files help contributors understand how to participate and set community expectations.
---
*[Mukller](https://github.com/Mu... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8319 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8319/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8319/comments | https://api.github.com/repos/huggingface/datasets/issues/8319/events | https://github.com/huggingface/datasets/pull/8319 | 4,859,119,134 | PR_kwDODunzps7wX361 | 8,319 | Cast multi-dimensional numpy arrays when inferring IterableDataset features | {
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`IterableDataset._resolve_features()` crashes when a `map` function yields multi-dimensional numpy arrays:
```python
from datasets import Dataset
import numpy as np
ds = Dataset.from_dict({"a": [[[1, 2, 3], [1, 2, 3]]]}).to_iterable_dataset().map(lambda x: {"a": [np.array(x["a"])]})
ds._resolve_features()
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https://api.github.com/repos/huggingface/datasets/issues/8318 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8318/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8318/comments | https://api.github.com/repos/huggingface/datasets/issues/8318/events | https://github.com/huggingface/datasets/pull/8318 | 4,852,071,515 | PR_kwDODunzps7wBLK6 | 8,318 | Vectorize interleave_datasets index generation (probabilities + first/all_exhausted) | {
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"Hi @lhoestq — gentle ping on this one when you have a moment.\n\nIt vectorizes the `probabilities`-given index generation in `_interleave_map_style_datasets` (the `first_exhausted` / `all_exhausted` branches), which currently builds the index list in a pure-Python per-row loop. This brings it to parity with the al... | 2026-07-10T04:43:02 | 2026-07-28T15:26:10 | null | null | NONE | [] | null | null | null | null | ## What
`_interleave_map_style_datasets` (used by `interleave_datasets` for map-style `Dataset`s) builds the output index list in a **pure-Python `for`-loop, one iteration per output row**, when `probabilities` is given:
```python
for source_idx in iter_random_indices():
if bool_strategy_func(is_exhausted):
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https://api.github.com/repos/huggingface/datasets/issues/8317 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8317/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8317/comments | https://api.github.com/repos/huggingface/datasets/issues/8317/events | https://github.com/huggingface/datasets/pull/8317 | 4,851,996,655 | PR_kwDODunzps7wA7r8 | 8,317 | fix(json): produce valid JSON when lines=False spans multiple batches (#7037) | {
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Fixes #7037.
`Dataset.to_json(lines=False)` raised `NotImplementedError` (and before the guard was added, silently produced _invalid_ JSON) whenever `batch_size < num_rows` — i.e., the default case for any dataset larger than `DEFAULT_MAX_BATCH_SIZE` (1000 rows).
**Root cause:** Each batch was serialised ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8316 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8316/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8316/comments | https://api.github.com/repos/huggingface/datasets/issues/8316/events | https://github.com/huggingface/datasets/pull/8316 | 4,851,944,983 | PR_kwDODunzps7wAxOj | 8,316 | Preserve features after IterableDataset.add_column | {
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`IterableDataset.add_column` delegates to `map` but never propagates the schema. After the call, `dataset.features` is `None` even when the original dataset had a typed schema, silently breaking all downstream code that inspects features.
## Root cause
The implementation is a one-liner:
```python
return self... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8315 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8315/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8315/comments | https://api.github.com/repos/huggingface/datasets/issues/8315/events | https://github.com/huggingface/datasets/pull/8315 | 4,849,890,950 | PR_kwDODunzps7v6TJQ | 8,315 | Fix size_str(0) returning "Unknown size" instead of "0 bytes" | {
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```python
>>> from datasets.utils.py_utils import... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8314 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8314/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8314/comments | https://api.github.com/repos/huggingface/datasets/issues/8314/events | https://github.com/huggingface/datasets/pull/8314 | 4,849,455,669 | PR_kwDODunzps7v46i1 | 8,314 | Fix to_json(lines=False) producing invalid JSON for multi-batch datasets | {
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to_json(lines=False) concatenated batch JSON arrays directly (like [...][...][...]), which is invalid JSON. Fixed by stripping outer brackets from each batch with orient=records and wrapping in a single array. | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8313 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8313/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8313/comments | https://api.github.com/repos/huggingface/datasets/issues/8313/events | https://github.com/huggingface/datasets/pull/8313 | 4,843,463,896 | PR_kwDODunzps7vlZFI | 8,313 | Fix crash on millisecond-scale started_at in hermes agent traces | {
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Parsing a hermes-format agent trace whose `started_at` is expressed in milliseconds crashes with `OSError: [Errno 22] Invalid argument`.
## The bug
`src/datasets/packaged_modules/json/json.py` normalizes `started_at` before feeding it to `datetime.fromtimestamp` (which expects **seconds**), using a magnit... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8312 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8312/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8312/comments | https://api.github.com/repos/huggingface/datasets/issues/8312/events | https://github.com/huggingface/datasets/pull/8312 | 4,835,483,160 | PR_kwDODunzps7vLR6W | 8,312 | Fix Dataset.take raising IndexError when taking more elements than available | {
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`Dataset.take(n)` is implemented as `self.select(range(n))`, so when `n` is larger than the dataset length it raises `IndexError: Index N out of range for dataset of size M` instead of returning the whole dataset. This is inconsistent with `IterableDataset.take`, which clamps and returns all available e... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8311 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8311/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8311/comments | https://api.github.com/repos/huggingface/datasets/issues/8311/events | https://github.com/huggingface/datasets/pull/8311 | 4,832,988,791 | PR_kwDODunzps7vDKY3 | 8,311 | Fix silent dataset truncation in batched map with mismatched empty column (#6879) | {
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Fixes #6879.
`Dataset.map(fn, batched=True)` silently truncates the dataset to **0 rows** (instead of raising) when the mapping function empties an *existing* column while another column stays non-empty.
### Reproducer (from the issue)
```python
import datasets
data = datasets.Dataset.from_... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8310 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8310/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8310/comments | https://api.github.com/repos/huggingface/datasets/issues/8310/events | https://github.com/huggingface/datasets/pull/8310 | 4,821,704,510 | PR_kwDODunzps7ueW6y | 8,310 | Make patch_submodule robust to __builtins__ being a module (PyPy / __main__) | {
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### Problem
`patch_submodule` reads the builtins through `globals()["__builtins__"]`:
```python
elif target_attr in globals()["__builtins__"]: # if it's a builtin like "open"
self.original[target_attr] = globals()["__builtins__"][target_attr]
```
The value of a module's `__builtins__` global is a... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8309 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8309/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8309/comments | https://api.github.com/repos/huggingface/datasets/issues/8309/events | https://github.com/huggingface/datasets/pull/8309 | 4,818,217,806 | PR_kwDODunzps7uS_TH | 8,309 | Make doc builds faster | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_8309). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2026-07-06T10:28:24 | 2026-07-06T13:21:54 | null | null | NONE | [] | null | null | null | null | Companion to the doc-builder tracker: huggingface/doc-builder#802
🤖 Generated with [Claude Code](https://claude.com/claude-code) | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8308 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8308/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8308/comments | https://api.github.com/repos/huggingface/datasets/issues/8308/events | https://github.com/huggingface/datasets/issues/8308 | 4,818,109,751 | I_kwDODunzps8AAAABHy6FNw | 8,308 | Streaming IterableDataset state stops advancing after first resume — second resume restarts from the beginning | {
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"@francesco-bertolotti Hi maintainers! I am an NLP intern at Sunbird AI and a first-time contributor. I would love to work on this issue. Could you please assign it to me?",
"Thank you for your interest @SsemuliJoseph \n\nThe fix was merged 2 weeks ago https://github.com/huggingface/datasets/pull/8295\nI should p... | 2026-07-06T10:12:27 | 2026-07-24T07:58:49 | 2026-07-23T13:12:33 | null | CONTRIBUTOR | [] | null | null | {
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## Description
For a streaming `IterableDataset`, calling `load_state_dict()` and then continuing to iterate leaves `state_dict()` frozen at the initial position (`shard_idx=0`, `shard_example_idx=0`). Reading resumes correctly the first time, but the tracked state never advances again.
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https://api.github.com/repos/huggingface/datasets/issues/8307 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8307/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8307/comments | https://api.github.com/repos/huggingface/datasets/issues/8307/events | https://github.com/huggingface/datasets/pull/8307 | 4,814,981,536 | PR_kwDODunzps7uIqj_ | 8,307 | Improve missing tsfile dependency error | {
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This PR improves the error message when the optional `tsfile` dependency is unavailable.
Currently, loading a TSFile dataset without `tsfile` installed raises a raw:
ModuleNotFoundError: No module named 'tsfile'
This change raises a clearer ImportError instead:
ImportError: To support lo... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8306 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8306/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8306/comments | https://api.github.com/repos/huggingface/datasets/issues/8306/events | https://github.com/huggingface/datasets/pull/8306 | 4,814,736,642 | PR_kwDODunzps7uH7t7 | 8,306 | Fix `add_column` parameter order so `feature` precedes `new_fingerprint` | {
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`Dataset.add_column`'s signature is `(name, column, new_fingerprint=None, feature=None)`, but:
- its own docstring documents the third argument as `feature` (not `new_fingerprint`), and
- every sibling `@fingerprint_transform` method keeps `new_fingerprint` as the **last** parameter (e.g. `cast_column(column... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8303 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8303/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8303/comments | https://api.github.com/repos/huggingface/datasets/issues/8303/events | https://github.com/huggingface/datasets/pull/8303 | 4,805,200,544 | PR_kwDODunzps7trDJb | 8,303 | Fix symlink-following arbitrary file write in archive extraction | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_8303). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2026-07-03T17:10:38 | 2026-07-06T10:04:30 | 2026-07-06T10:04:29 | null | CONTRIBUTOR | [] | null | null | null | null | Extractor.extract() called shutil.rmtree(output_path, ignore_errors=True) before extracting. Since Python 3.8, shutil.rmtree() raises OSError on a symlink pointing to a directory, which ignore_errors=True silently swallows. An attacker with write access to a shared cache directory could pre-plant a symlink at the predi... | {
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https://api.github.com/repos/huggingface/datasets/issues/8302 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8302/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8302/comments | https://api.github.com/repos/huggingface/datasets/issues/8302/events | https://github.com/huggingface/datasets/issues/8302 | 4,804,667,688 | I_kwDODunzps8AAAABHmFpKA | 8,302 | Turkish DIK-style Syntactic Structure Benchmark Dataset | {
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"Hi! I'd be interested in helping with this benchmark. I have experience working with NLP datasets and Hugging Face tooling, and I'd be happy to contribute on the engineering side (dataset packaging, loading script, validation, documentation, evaluation utilities, or testing). If you're planning to move forward, I'... | 2026-07-03T15:33:39 | 2026-08-03T08:44:18 | null | null | NONE | [] | null | null | {
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A structured dataset proposal introducing a Turkish syntactic structure benchmark designed for evaluating LLMs on fine-grained grammatical reasoning in a morphologically rich language.
Current NLP datasets in Hugging Face focus heavily on surface-level semantic tasks or English-centric benchmarks.... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8301 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8301/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8301/comments | https://api.github.com/repos/huggingface/datasets/issues/8301/events | https://github.com/huggingface/datasets/pull/8301 | 4,803,858,831 | PR_kwDODunzps7tmuV3 | 8,301 | Fix lance auth | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_8301). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2026-07-03T13:30:28 | 2026-07-03T14:17:40 | 2026-07-03T14:17:38 | null | MEMBER | [] | null | null | null | null | fix two bugs
- `TypeError: argument 'storage_options': 'None' is not an instance of 'str'` because "token": None is not supported in storage_options
- download_config.storage_options was empty and therefore the token for private datasets was not passed to lance | {
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https://api.github.com/repos/huggingface/datasets/issues/8299 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8299/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8299/comments | https://api.github.com/repos/huggingface/datasets/issues/8299/events | https://github.com/huggingface/datasets/pull/8299 | 4,796,399,878 | PR_kwDODunzps7tOQW5 | 8,299 | Fix MetadataConfigs dropping parquet shards for non-consecutive configs | {
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## Problem
`MetadataConfigs._from_exported_parquet_files_and_dataset_infos()` groups the exported parquet files with `itertools.groupby(exported_parquet_files, itemgetter("config"))`. `groupby` only groups **consecutive** equal keys, but the result is built as a dict keyed by config name:
```python
metad... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8298 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8298/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8298/comments | https://api.github.com/repos/huggingface/datasets/issues/8298/events | https://github.com/huggingface/datasets/pull/8298 | 4,790,672,091 | PR_kwDODunzps7s7tdy | 8,298 | Replace distutils.util.strtobool in tests with a local helper | {
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`tests/utils.py` imports `strtobool` from `distutils.util`:
```python
from distutils.util import strtobool
```
`distutils` was removed from the standard library in **Python 3.12** ([PEP 632](https://peps.python.org/pep-0632/)). `tests/utils.py` is imported (via `from .utils import ...`) by **20 te... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8297 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8297/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8297/comments | https://api.github.com/repos/huggingface/datasets/issues/8297/events | https://github.com/huggingface/datasets/pull/8297 | 4,782,770,650 | PR_kwDODunzps7sh2Y4 | 8,297 | Fix: preserve features after IterableDataset.add_column (GH#5752) | {
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After calling `.add_column()` on a streaming `IterableDataset`, accessing `.features` returns `None`:
```python
from datasets import load_dataset
ds = load_dataset("...", streaming=True)
print(ds.features) # {'text': Value('string'), ...}
ds2 = ds.add_column("new_column", ["val"] * len(ds))
print(ds2.fe... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8296 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8296/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8296/comments | https://api.github.com/repos/huggingface/datasets/issues/8296/events | https://github.com/huggingface/datasets/issues/8296 | 4,779,554,534 | I_kwDODunzps8AAAABHOI25g | 8,296 | [security] Symlink-Following Arbitrary File Write via Archive Extraction in huggingface/datasets | {
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"thanks for reporting, I'm not entirely sure how someone could exploit this but a fix would be welcome for sure ! Option A looks good to me",
"@lhoestq Thanks for the quick response! I opened a PR #8303 implementing Option A. The threat model is a shared cache. Any user who can write into downloads/extracted/ — b... | 2026-06-30T18:46:34 | 2026-07-04T19:06:53 | null | null | CONTRIBUTOR | [] | null | null | {
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## Summary
A symlink-following vulnerability exists in the archive extraction subsystem of `huggingface/datasets` that allows a local attacker with write access to a shared HuggingFace cache directory to write arbitrary files with the victim's privileges, by pre-planting a symlink at a predictabl... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8295 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8295/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8295/comments | https://api.github.com/repos/huggingface/datasets/issues/8295/events | https://github.com/huggingface/datasets/pull/8295 | 4,778,148,778 | PR_kwDODunzps7sSwmy | 8,295 | Bug Fix: Resuming Twice Resets the Dataloader | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_8295). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2026-06-30T15:28:14 | 2026-07-06T15:19:54 | 2026-07-06T15:19:54 | null | CONTRIBUTOR | [] | null | null | null | null | ## Summary
For a streaming `IterableDataset`, calling `load_state_dict()` and then continuing to iterate leaves `state_dict()` at the initial position (`shard_idx=0`, `shard_example_idx=0`). Reading resumes from the correct place, but the the state never advances again.
The practical consequence shows up on the ... | {
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https://api.github.com/repos/huggingface/datasets/issues/8294 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8294/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8294/comments | https://api.github.com/repos/huggingface/datasets/issues/8294/events | https://github.com/huggingface/datasets/pull/8294 | 4,777,402,296 | PR_kwDODunzps7sQSQZ | 8,294 | docs(py_utils): add missing docstrings to 5 public utility functions | {
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Adds missing docstrings to five public utility functions in `src/datasets/utils/py_utils.py`. Each docstring follows the HuggingFace documentation style with `Args`, `Returns`, `Raises`, and `Example` sections.
**Functions documented:**
| Function | What it does |
|---|---|
| `glob_pattern_t... | null | {
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"it's already the case afaik:\n\n```python\nIn [1]: from datasets import IterableDataset, concatenate_datasets\n\nIn [2]: ds1 = IterableDataset.from_dict({\"i\": [0, 1]})\n\nIn [3]: ds2 = IterableDataset.from_dict({\"i\": [2, 3]})\n\nIn [4]: ds = concatenate_datasets([ds1, ds2])\n\nIn [5]: list(ds)\nOut[5]: [{'i': ... | 2026-06-30T05:44:23 | 2026-07-03T13:40:43 | null | null | NONE | [] | null | null | {
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} | ### Feature request
It would be useful if concatenating multiple `IterableDataset`s could preserve the shard information from each input dataset, so that:
- the total number of shards equals the sum of the input shards;
- `split_dataset_by_node()` and worker sharding continue to work efficiently;
- downstream distrib... | null | {
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"Hi @lhoestq, could you take a look at this PR? Thanks.",
"@yuxin00j Can you please add how much is this change improving streaming initialization latency ?",
"> @yuxin00j Can you please add how much is this change improving streaming initialization latency ?\r\n\r\nAdded in the description.",
"@lhoestq for y... | 2026-06-30T02:00:17 | 2026-07-21T18:23:47 | null | null | NONE | [] | null | null | null | null | Fix #8197
This PR introduces the `skip_origin_metadata` kwarg to skip costly origin metadata fetching (ETags/mtime) when it's not needed, improving streaming initialization latency. This saves number of files `fs.info` calls per `load_dataset` call.
### Changes
- **Kwarg Plumbing**: Routes the `skip_origin_metadat... | null | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_8290). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2026-06-29T06:34:26 | 2026-06-29T06:37:17 | null | null | MEMBER | [] | null | null | null | null | Fix docstring example for select_columns in IterableDatasetDict.
This PR updates the usage example for selecting columns in a streaming dataset. The example now correctly uses the `select_columns` method instead of the outdated `select` method.
### Changes
- **Documentation update:**
* Updated the example i... | null | {
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Adds a data-driven manual/semi-automated **regression test suite** for `datasets` at `tests/regression/regression_suite.md` (128 test cases).
The suite was built by mining 984 historical issues (2020-04 → 2021-09) to find the bug categories that keep repeating, cross-checking the currently-op... | null | {
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