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https://api.github.com/repos/huggingface/datasets/issues/8501 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8501/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8501/comments | https://api.github.com/repos/huggingface/datasets/issues/8501/events | https://github.com/huggingface/datasets/pull/8501 | 5,198,172,545 | PR_kwDODunzps8AAAABAWX4Qw | 8,501 | Format bool and temporal values as numpy scalars and keep the duration dtype in numpy format | {
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} | Fixes #8500
`NumpyFormatter._tensorize` now early-returns `np.bool_`/`np.datetime64`/`np.timedelta64` scalars like other numpy scalars, `_recursive_tensorize` excludes all `np.generic` scalars from `__array__` conversion (previously it re-wrapped bool/datetime scalars into 0-d arrays), and the int64 default dtype only... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8500 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8500/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8500/comments | https://api.github.com/repos/huggingface/datasets/issues/8500/events | https://github.com/huggingface/datasets/issues/8500 | 5,198,170,352 | I_kwDODunzps8AAAABNdXI8A | 8,500 | with_format("numpy") returns bool/datetime values as 0-d unhashable arrays and casts duration columns to int64 | {
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With numpy formatting, row access returns `np.int64`/`np.float64`/`np.str_` scalars for most dtypes, but **bool and timestamp/date values come back as 0-dimensional `ndarray`s** (`array(True)`), which are unhashable and fail `isinstance(x, np.bool_)` checks. Separately, **batch/column access silen... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8499 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8499/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8499/comments | https://api.github.com/repos/huggingface/datasets/issues/8499/events | https://github.com/huggingface/datasets/issues/8499 | 5,192,173,564 | I_kwDODunzps8AAAABNXpH_A | 8,499 | TsFile format filter uses an inconsistent URL and is not available initially | {
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## Summary
There appear to be two related issues with the `TsFile` format filter on the Hugging Face Datasets page:
1. The URL parameter for `TsFile` is inconsistent with other formats.
2. `TsFile` is not initially shown in the format filter and only appears after visiting a TsFile-specific URL.
## 1. Inconsistent... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8497 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8497/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8497/comments | https://api.github.com/repos/huggingface/datasets/issues/8497/events | https://github.com/huggingface/datasets/pull/8497 | 5,189,857,731 | PR_kwDODunzps8AAAABAPp-7w | 8,497 | fix: bound Dataset.take range to prevent IndexError when n > len(dataset) | {
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} | ## Summary
Fixes #8483
Currently \Dataset.take(n)\ executes \self.select(range(n))\. When \
\ exceeds the dataset size \len(self)\, \
ange(n)\ attempts to index beyond the end of the table and raises an \IndexError\. Meanwhile, \IterableDataset.take(n)\ gracefully yields up to \
\ items.
## Changes
- In \src/datase... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8496 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8496/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8496/comments | https://api.github.com/repos/huggingface/datasets/issues/8496/events | https://github.com/huggingface/datasets/pull/8496 | 5,182,606,158 | PR_kwDODunzps8AAAABAJ1kuQ | 8,496 | Preserve storage options across URL hops | {
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} | ## Summary
- return the accumulated storage options for every hop in chained fsspec URLs
- add a regression test covering protocol-specific options on both `zip` and `https` hops
## Problem
`_prepare_path_and_storage_options` builds `prepared_storage_options` while iterating over a multi-hop path, but returned the l... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8495 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8495/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8495/comments | https://api.github.com/repos/huggingface/datasets/issues/8495/events | https://github.com/huggingface/datasets/pull/8495 | 5,179,629,172 | PR_kwDODunzps8AAAABAHbjYw | 8,495 | Validate class labels when casting an integer column to ClassLabel | {
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} | `table_cast` took a metadata-only fast path when the arrow schema was unchanged, so casting int64 storage to `ClassLabel` never ran `ClassLabel.cast_storage` and out-of-range label indices were accepted silently. Route metadata-only changes through `cast_table_to_schema` too, so the range check runs like on the write p... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8494 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8494/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8494/comments | https://api.github.com/repos/huggingface/datasets/issues/8494/events | https://github.com/huggingface/datasets/issues/8494 | 5,179,628,125 | I_kwDODunzps8AAAABNLraXQ | 8,494 | cast_column to ClassLabel silently accepts out-of-range label indices | {
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`Dataset.cast_column` / `Dataset.cast` to a `ClassLabel` column silently keeps label indices that are out of range for the target number of classes. The corruption only shows up later — e.g. on the first `int2str` call — or silently trains on wrong labels:
```python
from datasets import Dataset, ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8493 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8493/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8493/comments | https://api.github.com/repos/huggingface/datasets/issues/8493/events | https://github.com/huggingface/datasets/pull/8493 | 5,175,749,969 | PR_kwDODunzps8AAAABAEV0fA | 8,493 | Don't mask the original error when finalizing the writer fails in Dataset.map | {
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"This could not fix https://github.com/huggingface/datasets/issues/8491. The `InterruptedError` raised from `file.close()` does not actually need to be processed on the Linux platform as I mentioned in the issue.",
"Yep, you're right: this only fixed the masking, the worker still died on the `InterruptedError`.\n... | 2026-08-17T21:50:50 | 2026-08-18T13:55:59 | null | null | CONTRIBUTOR | [] | null | null | false | {
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} | ## Summary
Fixes #8491.
When `writer.finalize()` raises in `_map_single()`, the `except` block calls `finalize()` again on a writer whose stream is already closed. `finalize()` then hits `self.pa_writer is None and self.schema` and calls `_build_writer(self.schema)`, which raises `ValueError: I/O operation on closed ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8492 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8492/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8492/comments | https://api.github.com/repos/huggingface/datasets/issues/8492/events | https://github.com/huggingface/datasets/pull/8492 | 5,168,913,422 | PR_kwDODunzps7_7cuf | 8,492 | Let Dataset.take(n) return what it has when n > len(dataset) | {
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} | Fixes #8483
### Problem
`Dataset.take(n)` is `select(range(n))`, so asking for more elements than the dataset has raises from the out-of-range index — while the `IterableDataset` counterpart returns the elements it has:
```python
>>> ds = Dataset.from_dict({"a": [1, 2, 3]})
>>> ds.take(3)
Dataset({features: ['a'], n... | null | {
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"Reference: \n\n1. https://github.com/boostorg/beast/issues/1445\n2. `man 2 close`:\n```\n Dealing with error returns from close()\n A careful programmer will check the return value of close(), since it is quite possible that errors on a previous write(2) operation are reported only on the final close() that re... | 2026-08-17T06:05:58 | 2026-08-17T06:55:02 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
We hit this while running Megatron-LM training through ms-swift, which uses `datasets` under the hood for preprocessing. Our preprocessing step calls `Dataset.map()` with a fairly aggressive `num_proc=512` on a ~25k-example JSONL file:
```bash
swift --dataset_num_proc 512 --dataset large.jsonl --... | null | {
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} | ## Bug
The `safemembers` path check that guards archive extraction (the CVE-2007-4559 mitigation, duplicated across the tar/zip/rar/7z extractors) uses a plain `startswith(base)`. That also matches **sibling directories whose name starts with the output directory's name**:
```py
target = resolved(os.path.join(base, p... | null | {
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} | Fixes #4911.
Adds `TestLoadFromHub.test_load_dataset_after_repo_rename` to `tests/test_upstream_hub.py`:
1. pushes a small dataset to a temporary repo on hub-ci
2. renames the repo with `HfApi.move_repo` (the `/api/repos/move` endpoint suggested in the issue), with a sanity assertion that the repo now lives under the... | null | {
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} | Fixes #7089.
The Spark test module no longer imports PySpark during collection. Its configuration tests remain active without the optional dependency, while the eight tests that actually create Spark sessions use the existing `require_pyspark` decorator and local imports already used elsewhere in the test suite.
Vali... | null | {
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`test_move_script_doesnt_change_hash` now invokes both temporary scripts with `sys.executable` instead of relying on a `python` command being available on `PATH`. This keeps the subprocess interpreter aligned with the interpreter running pytest and fixes environments such as FreeBSD where only `python3` m... | null | {
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## Problem
`PandasArrayExtensionArray.take` coerces `fill_value` to the pandas dtype *before* checking whether any row is actually missing. When `allow_fill=True` with a mask that contains no missing indices, `take` still needs to return a proper pandas Series — but the coercion can blow up for values tha... | null | {
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## Problem
`Dataset.take(n)` raises `IndexError: index ... is out of bounds for axis 0 with size ...` when `n` exceeds the number of rows, while `IterableDataset.take(n)` returns everything available (list-slice semantics). The two dataset flavors should behave consistently.
## Change
Clamp the request ... | null | {
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} | Partially fixes #8481
### Problem
`int2str` validates the container it is given, but never the elements inside it. Three consequences, in decreasing order of severity:
```python
>>> cl = ClassLabel(names=["neg", "pos"])
>>> cl.int2str([1.7])
['pos'] # silently truncated by the int(v) used to inde... | null | {
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`Dataset.take(n)` raises when asked for more elements than the dataset has, while `IterableDataset.take(n)` returns the elements it has. Both are documented identically as "Create a new [...] with only the first `n` elements".
```python
>>> from datasets import Dataset
>>> ds = Dataset.from_dict(... | null | {
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} | Skipping exactly as many elements as the dataset has raises, but skipping *more* than that works and returns an empty dataset:
```python
>>> ds = Dataset.from_dict({"a": [1, 2, 3]})
>>> ds.skip(2)
Dataset({features: ['a'], num_rows: 1})
>>> ds.skip(3)
IndexError: Index 3 out of range for dataset of size 3.
>>> ds.skip... | null | {
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"Thanks for weighing in, but one correction so the report stays accurate: `int2str` does **not** return `None` for an unknown class id. It raises, both for a bare value and inside a list — that path is already covered by the `0 <= v < num_classes` check:\n\n```python\n>>> cl = ClassLabel(names=[\"neg\", \"pos\"])\n... | 2026-08-15T08:43:11 | 2026-08-17T06:13:32 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
`ClassLabel.str2int` and `ClassLabel.int2str` both validate the *container* they're given, but never the elements inside it. Two of the resulting cases fail silently and return wrong labels rather than raising.
`str2int` accepts ints and hands them straight back, so a column of integer labels rou... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8478 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8478/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8478/comments | https://api.github.com/repos/huggingface/datasets/issues/8478/events | https://github.com/huggingface/datasets/pull/8478 | 5,147,818,234 | PR_kwDODunzps7-51NF | 8,478 | Handle null values when batching by column | {
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} | ## What changed
I encountered an error when batching a dataset by a nullable column. Rows containing null values were not split into the expected groups, and grouping by an all-null Arrow column raised an `ArrowNotImplementedError`.
For example, batching this column:
```python
[None, None, "A", "A", None, "B"]
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8477 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8477/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8477/comments | https://api.github.com/repos/huggingface/datasets/issues/8477/events | https://github.com/huggingface/datasets/pull/8477 | 5,143,737,519 | PR_kwDODunzps7-stG2 | 8,477 | Reject non-positive batch sizes in batch() | {
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"@lhoestq, when you have a chance, could you take a look and authorize the CI run? This is a focused fix for #8472, with the overlap with #8446 called out in the description. Thanks!"
] | 2026-08-13T16:47:46 | 2026-08-13T16:48:24 | null | null | NONE | [] | null | null | false | {
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} | ## Summary
- reject non-positive `batch_size` values in `Dataset.batch()` and `IterableDataset.batch()`
- raise before mapping or consuming an iterable source
- add focused regression tests for `0` and `-1`
Fixes #8472
## Related work
This includes the small `_check_batch_size` helper also proposed by @LeSingh1 in ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8476 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8476/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8476/comments | https://api.github.com/repos/huggingface/datasets/issues/8476/events | https://github.com/huggingface/datasets/pull/8476 | 5,137,360,424 | PR_kwDODunzps7-YDwB | 8,476 | Fix OverflowError in Dataset.select on in-range negative indices | {
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} | Fixes #8475.
### What this fixes
`Dataset.select` validates indices with `_check_valid_indices_value`, which implements Python-style negative indexing (it only rejects a negative index when `index + size < 0`), but `_select_with_indices_mapping` then converts the indices with `pa.array(indices, type=pa.uint64())`, wh... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8475 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8475/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8475/comments | https://api.github.com/repos/huggingface/datasets/issues/8475/events | https://github.com/huggingface/datasets/issues/8475 | 5,137,335,145 | I_kwDODunzps8AAAABMjWDaQ | 8,475 | `Dataset.select` raises a raw OverflowError on in-range negative indices that its own validation allows | {
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`Dataset.select` validates indices with [`_check_valid_indices_value`](https://github.com/huggingface/datasets/blob/836b82e0544cabf6474b25ade131b4d21e570373/src/datasets/arrow_dataset.py#L636-L638), which implements Python-style negative indexing: it only raises for a negative index when `index + ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8474 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8474/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8474/comments | https://api.github.com/repos/huggingface/datasets/issues/8474/events | https://github.com/huggingface/datasets/pull/8474 | 5,137,329,748 | PR_kwDODunzps7-X9tn | 8,474 | Fix negative percent split boundary anchoring to the start when it rounds to 0 | {
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} | Fixes #8473.
### What this fixes
With the default `closest` rounding, a negative percent split boundary whose absolute value rounds to 0 loses its sign, so "relative to the end" silently becomes "relative to the start":
```python
# on a 30-example split
train[-1%:] -> (0, 30) all 30 rows, while train[99%:] corre... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8473 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8473/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8473/comments | https://api.github.com/repos/huggingface/datasets/issues/8473/events | https://github.com/huggingface/datasets/issues/8473 | 5,137,305,743 | I_kwDODunzps8AAAABMjUQjw | 8,473 | Negative percent split boundary silently anchors to the start when it rounds to 0 (`train[-1%:]` returns the whole split) | {
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With the default `closest` rounding, a negative percent split boundary whose absolute value rounds to 0 loses its sign, so "relative to the end" silently becomes "relative to the start":
- `train[-1%:]` on a 30-example split returns **all 30 rows** instead of the last 1% (~0 rows, as `train[99%:]... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8472 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8472/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8472/comments | https://api.github.com/repos/huggingface/datasets/issues/8472/events | https://github.com/huggingface/datasets/issues/8472 | 5,128,543,479 | I_kwDODunzps8AAAABMa9c9w | 8,472 | batch(0) silently returns one batch with the whole dataset instead of raising | {
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"Hi @shashvat-singham i did also try and reproduced it and got the same results described :\n\n```text\nIterableDataset.batch(0/-1) → [5]\nDataset.batch(0/-1) → 1 batch\nbatch(2) → [2, 2, 1] / 3 batches\n```\n\nI’d like to give this a try\n\nThanks\n\n#self-assign"
] | 2026-08-12T07:52:28 | 2026-08-16T15:56:35 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
`Dataset.batch()` and `IterableDataset.batch()` accept `batch_size=0` and negative sizes, and quietly return **one batch holding the whole dataset**. Asking for a zero-sized batch produces the largest possible batch, which is as close to the opposite of the request as the API can get.
### Steps o... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8471 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8471/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8471/comments | https://api.github.com/repos/huggingface/datasets/issues/8471/events | https://github.com/huggingface/datasets/pull/8471 | 5,128,533,318 | PR_kwDODunzps797k6o | 8,471 | Stop `Dataset.sort()` emitting a pyarrow FutureWarning | {
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"Follow-up datapoint while this is open: I swept ~28 common operations (`sort`, `unique`, `filter`, `map`, `select`, `shuffle`, `train_test_split`, `concatenate`, `flatten_indices`, `cast`, `class_encode_column`, all the `to_*` exports, `save_to_disk`/`load_from_disk`, the numpy/pandas formatters, `from_generator` ... | 2026-08-12T07:51:09 | 2026-08-12T07:57:52 | null | null | NONE | [] | null | null | false | {
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} | ## The bug
Every `Dataset.sort()` call emits a pyarrow `FutureWarning` on pyarrow >= 25:
```
FutureWarning: Specifying null_placement in SortOptions is deprecated as of 25.0.0.
Specify null_placement per sort_key instead.
```
It comes from `Dataset.sort` itself, not from user code:
```python
indices = pc.sort_indic... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8470 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8470/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8470/comments | https://api.github.com/repos/huggingface/datasets/issues/8470/events | https://github.com/huggingface/datasets/pull/8470 | 5,128,425,500 | PR_kwDODunzps797OZ4 | 8,470 | Keep the dtype of an empty column in the numpy formatter | {
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} | Fixes #8469.
## The bug
Under `numpy` format, a column holding zero rows comes back as `float32` regardless of its declared dtype — while the same column keeps its dtype as soon as it holds one row, and `pandas`/`arrow` keep it either way.
```python
feats = Features({"a": Value("int64")})
ds = Dataset.from_dict({"a"... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8469 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8469/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8469/comments | https://api.github.com/repos/huggingface/datasets/issues/8469/events | https://github.com/huggingface/datasets/issues/8469 | 5,128,417,961 | I_kwDODunzps8AAAABMa1yqQ | 8,469 | Empty column loses its dtype under numpy format (always float32) | {
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Under `numpy` format, a column that holds zero rows comes back as `float32` no matter what dtype it was declared with. The same column keeps its dtype as soon as it holds a single row, and the `pandas` and `arrow` formatters keep it in both cases.
This is easy to hit in normal code: any `filter` ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8468 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8468/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8468/comments | https://api.github.com/repos/huggingface/datasets/issues/8468/events | https://github.com/huggingface/datasets/pull/8468 | 5,128,312,016 | PR_kwDODunzps7962H- | 8,468 | Implement `construct_from_string` on `PandasArrayExtensionDtype` | {
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## The bug
`PandasArrayExtensionDtype` never implements `construct_from_string`, so it inherits the base `ExtensionDtype` version:
```python
@classmethod
def construct_from_string(cls, string):
assert isinstance(cls.name, str), (cls, type(cls.name))
```
`name` is an instance `@property` here, becau... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8467 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8467/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8467/comments | https://api.github.com/repos/huggingface/datasets/issues/8467/events | https://github.com/huggingface/datasets/issues/8467 | 5,128,306,077 | I_kwDODunzps8AAAABMau9nQ | 8,467 | PandasArrayExtensionDtype has no construct_from_string, so comparing the dtype to any string raises AssertionError | {
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`PandasArrayExtensionDtype` does not implement `construct_from_string`, so it inherits the base `ExtensionDtype` version, which opens with:
```python
@classmethod
def construct_from_string(cls, string):
assert isinstance(cls.name, str), (cls, type(cls.name))
```
`name` is an instance `@prope... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8466 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8466/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8466/comments | https://api.github.com/repos/huggingface/datasets/issues/8466/events | https://github.com/huggingface/datasets/pull/8466 | 5,128,026,958 | PR_kwDODunzps7957wa | 8,466 | Raise a clear error for a deeply nested mesh file | {
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} | Fixes #8246.
## The bug
A GLB file carries its scene description as an embedded JSON chunk, and that JSON can be nested arbitrarily deeply. Parsing it exhausts the interpreter stack, so `Mesh.decode_example` propagates a bare
```
RecursionError: maximum recursion depth exceeded while decoding a JSON object from a un... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8465 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8465/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8465/comments | https://api.github.com/repos/huggingface/datasets/issues/8465/events | https://github.com/huggingface/datasets/issues/8465 | 5,127,966,298 | I_kwDODunzps8AAAABMaaOWg | 8,465 | PandasArrayExtensionArray.take coerces fill_value before checking whether anything is filled, breaking boolean masks on integer array columns | {
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`PandasArrayExtensionArray.take` coerces `fill_value` to the array's value type **before** checking whether any element will actually be filled:
https://github.com/huggingface/datasets/blob/main/src/datasets/features/features.py#L965-L972
```python
if allow_fill:
fill_value = (
self.... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8464 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8464/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8464/comments | https://api.github.com/repos/huggingface/datasets/issues/8464/events | https://github.com/huggingface/datasets/pull/8464 | 5,127,916,520 | PR_kwDODunzps795lBw | 8,464 | Make `PandasArrayExtensionDtype._metadata` a tuple | {
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"patch_url": "https://github.com/huggingface/datasets/pull/8464.patch",
"merged_at": null
} | Fixes #8375.
## The bug
`PandasArrayExtensionDtype._metadata` was the plain string `"value_type"`. Pandas expects a **tuple of attribute names** and iterates over it in `ExtensionDtype.__eq__` and `ExtensionDtype.__hash__`:
```python
all(getattr(self, attr) == getattr(other, attr) for attr in self._metadata)
```
A ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8463 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8463/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8463/comments | https://api.github.com/repos/huggingface/datasets/issues/8463/events | https://github.com/huggingface/datasets/issues/8463 | 5,126,995,924 | I_kwDODunzps8AAAABMZe_1A | 8,463 | very bad quality images in most of them | {
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very bad quality images in most of them
### Steps to reproduce the bug
.
### Expected behavior
.
### Environment info
. | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8462 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8462/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8462/comments | https://api.github.com/repos/huggingface/datasets/issues/8462/events | https://github.com/huggingface/datasets/pull/8462 | 5,121,965,559 | PR_kwDODunzps79mZju | 8,462 | Fix info from data_dir/data_files or malformed yaml | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_8462). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2026-08-11T15:45:50 | 2026-08-12T14:56:52 | 2026-08-12T14:56:49 | null | MEMBER | [] | null | null | false | {
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"merged_at": "2026-08-12T14:56... | - don't reuse the info from a config if data_files or data_dir are passed
- ignore malformed split info in yaml
cc @anton-l | {
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https://api.github.com/repos/huggingface/datasets/issues/8461 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8461/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8461/comments | https://api.github.com/repos/huggingface/datasets/issues/8461/events | https://github.com/huggingface/datasets/pull/8461 | 5,121,551,071 | PR_kwDODunzps79lDrU | 8,461 | Add test for tokenizer stride with Dataset.map (issue #4769) | {
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"Thanks for the review, addressed your feedback. I added a focused integration test (tests/test_stride_qa.py) that uses the two-argument tokenizer form (question + context) and a ~35-token question to exercise the original failure mode. The test now conditionally xfails when the tokenizers Rust backend panics or ra... | 2026-08-11T15:00:25 | 2026-08-13T15:02:47 | null | null | NONE | [] | null | null | false | {
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} | ## Problem
When processing SQuAD v1.1 datasets with `max_seq_length=128` and `doc_stride=96` using transformers' QA pipeline, users encountered an assertion failure:
```
thread '<unnamed>' panicked at 'assertion failed: stride < max_len'
```
This prevented legitimate use of the stride parameter in question-answering p... | null | {
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