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https://api.github.com/repos/huggingface/datasets/issues/8681 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8681/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8681/comments | https://api.github.com/repos/huggingface/datasets/issues/8681/events | https://github.com/huggingface/datasets/issues/8681 | 5,573,876,336 | I_kwDODunzps8AAAABTDqacA | 8,681 | Casting `large_string` / `string_view` to ClassLabel fails, so `Dataset.from_pandas(df, features=ClassLabel)` breaks with pandas 3 | {
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"@albertvillanova my tests are failing here:\r\n```\r\ndataset_name = 'gooaq'\r\n\r\n def test_load_dataset(self, dataset_name):\r\n configs = self.dataset_tester.load_all_configs(dataset_name, is_local=True)[:1]\r\n> self.dataset_tester.check_load_dataset(dataset_name, configs, is_local=True, use_l... | 2026-09-24T20:03:05 | 2026-09-24T20:03:05 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
`ClassLabel.cast_storage` only maps label strings to ids when the storage is a `pa.StringArray` (`src/datasets/features/features.py`, ~L1195: `elif isinstance(storage, pa.StringArray):`). `pa.LargeStringArray` and `pa.StringViewArray` are not subclasses of it, so they skip the mapping and go strai... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8675 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8675/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8675/comments | https://api.github.com/repos/huggingface/datasets/issues/8675/events | https://github.com/huggingface/datasets/issues/8675 | 5,560,824,749 | I_kwDODunzps8AAAABS3NzrQ | 8,675 | load_dataset("json") fails on mixed-shape JSONL when a chunksize boundary separates the shapes | {
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"@albertvillanova my tests are failing here:\r\n```\r\ndataset_name = 'gooaq'\r\n\r\n def test_load_dataset(self, dataset_name):\r\n configs = self.dataset_tester.load_all_configs(dataset_name, is_local=True)[:1]\r\n> self.dataset_tester.check_load_dataset(dataset_name, configs, is_local=True, use_l... | 2026-09-23T23:31:51 | 2026-09-24T00:46:12 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
`load_dataset("json")` raises `DatasetGenerationError` ("column names don't match") on a valid JSONL file that mixes two record shapes, whenever the default 10MB `chunksize` splits the file so that different chunks see different sets of columns.
The JSON loader reads the file in `chunksize` batch... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8671 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8671/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8671/comments | https://api.github.com/repos/huggingface/datasets/issues/8671/events | https://github.com/huggingface/datasets/issues/8671 | 5,550,986,915 | I_kwDODunzps8AAAABSt1Wow | 8,671 | push_to_hub() / to_parquet() leave nested list/struct columns uncompressed | {
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"@albertvillanova my tests are failing here:\r\n```\r\ndataset_name = 'gooaq'\r\n\r\n def test_load_dataset(self, dataset_name):\r\n configs = self.dataset_tester.load_all_configs(dataset_name, is_local=True)[:1]\r\n> self.dataset_tester.check_load_dataset(dataset_name, configs, is_local=True, use_l... | 2026-09-23T08:44:43 | 2026-09-23T08:44:43 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
`push_to_hub()` and `to_parquet()` silently write nested (list/struct) columns UNCOMPRESSED, while flat columns get snappy. Measured impact: ~30x size inflation for nested-column datasets (a 114 MB JSONL with list/struct columns pushes as a 215 MB shard; the same data with compression applied is ~... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8669 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8669/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8669/comments | https://api.github.com/repos/huggingface/datasets/issues/8669/events | https://github.com/huggingface/datasets/issues/8669 | 5,542,791,526 | I_kwDODunzps8AAAABSmBJZg | 8,669 | `IterableDataset.shuffle()` in 5.0 reports `num_shards = min(files per source)`, leaving DataLoader workers and distributed nodes without data | {
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"@albertvillanova my tests are failing here:\r\n```\r\ndataset_name = 'gooaq'\r\n\r\n def test_load_dataset(self, dataset_name):\r\n configs = self.dataset_tester.load_all_configs(dataset_name, is_local=True)[:1]\r\n> self.dataset_tester.check_load_dataset(dataset_name, configs, is_local=True, use_l... | 2026-09-22T17:12:31 | 2026-09-22T17:12:31 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
I recently updated an env to datasets 5.0.1 and ended up with several of my DataLoader workers spinning. Spinning issue is on my end, and there is a viable workaround, but there's a change on the datasets side that triggered and may be unexpected / sub-optimal in common use cases.
Since 5.0.0 (#... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8663 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8663/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8663/comments | https://api.github.com/repos/huggingface/datasets/issues/8663/events | https://github.com/huggingface/datasets/issues/8663 | 5,537,226,391 | I_kwDODunzps8AAAABSgtelw | 8,663 | IterableDataset numpy format returns object instead of the declared dtype | {
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"@albertvillanova my tests are failing here:\r\n```\r\ndataset_name = 'gooaq'\r\n\r\n def test_load_dataset(self, dataset_name):\r\n configs = self.dataset_tester.load_all_configs(dataset_name, is_local=True)[:1]\r\n> self.dataset_tester.check_load_dataset(dataset_name, configs, is_local=True, use_l... | 2026-09-22T08:39:29 | 2026-09-22T08:41:52 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
`NumpyFormatter._consolidate` builds a typed array only when every element is an `np.ndarray`. numpy **scalars** are `np.number`, not `np.ndarray`.
### Face 1 — `IterableDataset.batch()` on an arrow-backed dataset
`.batch()` regroups via a Python transpose
(`_batch_fn = lambda unbatched: {k: [v]... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8659 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8659/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8659/comments | https://api.github.com/repos/huggingface/datasets/issues/8659/events | https://github.com/huggingface/datasets/issues/8659 | 5,529,142,676 | I_kwDODunzps8AAAABSZAFlA | 8,659 | TranslationVariableLanguages crashes on empty translations with declared languages | {
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"@albertvillanova my tests are failing here:\r\n```\r\ndataset_name = 'gooaq'\r\n\r\n def test_load_dataset(self, dataset_name):\r\n configs = self.dataset_tester.load_all_configs(dataset_name, is_local=True)[:1]\r\n> self.dataset_tester.check_load_dataset(dataset_name, configs, is_local=True, use_l... | 2026-09-21T15:38:25 | 2026-09-21T15:38:25 | null | null | NONE | [] | null | null | null | null | ## Describe the bug
With an explicit language list, `TranslationVariableLanguages.encode_example()`
raises `ValueError: not enough values to unpack (expected 2, got 0)` for `{}`,
`{"en": []}`, or `{"en": [], "fr": []}`. The same inputs also prevent
`Dataset.from_dict()` from constructing a dataset.
The equivalent alr... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8653 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8653/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8653/comments | https://api.github.com/repos/huggingface/datasets/issues/8653/events | https://github.com/huggingface/datasets/issues/8653 | 5,526,093,910 | I_kwDODunzps8AAAABSWGAVg | 8,653 | Long lock filenames do not provide mutual exclusion across Python processes | {
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"@albertvillanova my tests are failing here:\r\n```\r\ndataset_name = 'gooaq'\r\n\r\n def test_load_dataset(self, dataset_name):\r\n configs = self.dataset_tester.load_all_configs(dataset_name, is_local=True)[:1]\r\n> self.dataset_tester.check_load_dataset(dataset_name, configs, is_local=True, use_l... | 2026-09-21T11:02:34 | 2026-09-21T11:02:34 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
`FileLock.hash_filename_if_too_long()` uses Python's `hash(filename)` to shorten long lock filenames. String hashes vary between independently started Python processes, so two processes given the same long lock path can lock different files and both enter the protected section.
This affects paths... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8637 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8637/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8637/comments | https://api.github.com/repos/huggingface/datasets/issues/8637/events | https://github.com/huggingface/datasets/issues/8637 | 5,492,155,234 | I_kwDODunzps8AAAABR1ujYg | 8,637 | FileLock wrapper drops timeout and every other constructor argument | {
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"@albertvillanova my tests are failing here:\r\n```\r\ndataset_name = 'gooaq'\r\n\r\n def test_load_dataset(self, dataset_name):\r\n configs = self.dataset_tester.load_all_configs(dataset_name, is_local=True)[:1]\r\n> self.dataset_tester.check_load_dataset(dataset_name, configs, is_local=True, use_l... | 2026-09-17T20:04:06 | 2026-09-24T07:24:10 | null | null | CONTRIBUTOR | [] | null | null | null | null | ### Describe the bug
`datasets.utils._filelock.FileLock` silently discards every keyword argument except `lock_file`. Passing `timeout=` has no effect, and `is_singleton=True` raises instead of returning the cached lock.
The wrapper declares a variadic signature:
```python
# src/datasets/utils/_filelock.py
def __ini... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8626 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8626/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8626/comments | https://api.github.com/repos/huggingface/datasets/issues/8626/events | https://github.com/huggingface/datasets/issues/8626 | 5,458,588,402 | I_kwDODunzps8AAAABRVty8g | 8,626 | Probabilistic interleave without replacement samples empty datasets | {
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"@albertvillanova my tests are failing here:\r\n```\r\ndataset_name = 'gooaq'\r\n\r\n def test_load_dataset(self, dataset_name):\r\n configs = self.dataset_tester.load_all_configs(dataset_name, is_local=True)[:1]\r\n> self.dataset_tester.check_load_dataset(dataset_name, configs, is_local=True, use_l... | 2026-09-15T06:48:36 | 2026-09-15T06:48:36 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
With probabilities and `stopping_strategy="all_exhausted_without_replacement"`, an empty map-style input can add a duplicate row from another source or cause an out-of-range index. This can happen when filtering one of the datasets before mixing them.
### Steps to reproduce
```python
from datase... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8618 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8618/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8618/comments | https://api.github.com/repos/huggingface/datasets/issues/8618/events | https://github.com/huggingface/datasets/issues/8618 | 5,448,559,733 | I_kwDODunzps8AAAABRMJsdQ | 8,618 | `DataFilesList.filter()` leaves `origin_metadata` misaligned with the filtered files | {
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"@albertvillanova my tests are failing here:\r\n```\r\ndataset_name = 'gooaq'\r\n\r\n def test_load_dataset(self, dataset_name):\r\n configs = self.dataset_tester.load_all_configs(dataset_name, is_local=True)[:1]\r\n> self.dataset_tester.check_load_dataset(dataset_name, configs, is_local=True, use_l... | 2026-09-14T11:12:17 | 2026-09-14T11:12:17 | null | null | NONE | [] | null | null | null | null | ## Description
`DataFilesList` keeps `origin_metadata`, a list parallel to the file list where
each entry describes the origin of the file at the same index (e.g. the data
files pattern it was resolved from). After `filter()` removes some files, the
returned `DataFilesList` keeps the *unfiltered* `origin_metadata`, so... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8617 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8617/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8617/comments | https://api.github.com/repos/huggingface/datasets/issues/8617/events | https://github.com/huggingface/datasets/issues/8617 | 5,448,559,498 | I_kwDODunzps8AAAABRMJrig | 8,617 | `SplitDict.copy()` crashes when `dataset_name` is not set | {
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"@albertvillanova my tests are failing here:\r\n```\r\ndataset_name = 'gooaq'\r\n\r\n def test_load_dataset(self, dataset_name):\r\n configs = self.dataset_tester.load_all_configs(dataset_name, is_local=True)[:1]\r\n> self.dataset_tester.check_load_dataset(dataset_name, configs, is_local=True, use_l... | 2026-09-14T11:12:15 | 2026-09-24T09:07:48 | null | null | NONE | [] | null | null | null | null | ## Description
`SplitDict.copy()` (and `SplitDict.from_split_dict`) crashes with
`AttributeError: 'SplitInfo' object has no attribute 'get'` whenever the split
dict contains `SplitInfo` objects and `dataset_name` is `None`.
## Reproduction
```python
from datasets import SplitDict, SplitInfo
split_dict = SplitDict({... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8612 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8612/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8612/comments | https://api.github.com/repos/huggingface/datasets/issues/8612/events | https://github.com/huggingface/datasets/issues/8612 | 5,433,977,361 | I_kwDODunzps8AAAABQ-PqEQ | 8,612 | load_dataset on a dataset name with no namespace raises HfUriError | {
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"@albertvillanova my tests are failing here:\r\n```\r\ndataset_name = 'gooaq'\r\n\r\n def test_load_dataset(self, dataset_name):\r\n configs = self.dataset_tester.load_all_configs(dataset_name, is_local=True)[:1]\r\n> self.dataset_tester.check_load_dataset(dataset_name, configs, is_local=True, use_l... | 2026-09-12T14:43:32 | 2026-09-12T14:43:32 | null | null | CONTRIBUTOR | [] | null | null | null | null | `load_dataset` on a dataset name with no namespace fails at HEAD and on 5.0.1:
```python
>>> from datasets import load_dataset
>>> load_dataset("imdb", split="train[:5]")
...
File "src/datasets/load.py", line 609, in get_module
standalone_yaml_path = cached_path(
File "src/datasets/utils/file_utils.py", line 1... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8608 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8608/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8608/comments | https://api.github.com/repos/huggingface/datasets/issues/8608/events | https://github.com/huggingface/datasets/issues/8608 | 5,430,588,518 | I_kwDODunzps8AAAABQ7A0Zg | 8,608 | `push_to_hub()` keeps stale `dataset_info.features` when re-pushing a single split with different columns | {
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"@albertvillanova my tests are failing here:\r\n```\r\ndataset_name = 'gooaq'\r\n\r\n def test_load_dataset(self, dataset_name):\r\n configs = self.dataset_tester.load_all_configs(dataset_name, is_local=True)[:1]\r\n> self.dataset_tester.check_load_dataset(dataset_name, configs, is_local=True, use_l... | 2026-09-12T02:13:53 | 2026-09-12T02:21:13 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
Re-pushing a dataset's only split with different columns updates the shards and the split
sizes in the README, but silently keeps the **old** `dataset_info.features`. The card then
declares a schema the parquet files no longer have, and the dataset viewer fails on the
first batch with `CastError: ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8596 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8596/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8596/comments | https://api.github.com/repos/huggingface/datasets/issues/8596/events | https://github.com/huggingface/datasets/issues/8596 | 5,413,314,229 | I_kwDODunzps8AAAABQqietQ | 8,596 | load_dataset silently accepts out-of-range ClassLabel indices when the source dtype already matches | {
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"@albertvillanova my tests are failing here:\r\n```\r\ndataset_name = 'gooaq'\r\n\r\n def test_load_dataset(self, dataset_name):\r\n configs = self.dataset_tester.load_all_configs(dataset_name, is_local=True)[:1]\r\n> self.dataset_tester.check_load_dataset(dataset_name, configs, is_local=True, use_l... | 2026-09-10T14:15:14 | 2026-09-16T08:05:39 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
Loading a file whose parsed Arrow dtype already matches a declared `ClassLabel`'s storage type (`int64`) skips the range check entirely. Out-of-range indices load with no error and no warning, and only surface later at `int2str` time or as silently wrong labels during training.
```python
from dat... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8595 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8595/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8595/comments | https://api.github.com/repos/huggingface/datasets/issues/8595/events | https://github.com/huggingface/datasets/issues/8595 | 5,413,236,409 | I_kwDODunzps8AAAABQqduuQ | 8,595 | IterableDataset.decode(num_threads) busy-polls its ThreadPool futures, starving the decode threads — 0 rows on remote audio; callback-based bridging restores the intended 20x | {
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"@albertvillanova my tests are failing here:\r\n```\r\ndataset_name = 'gooaq'\r\n\r\n def test_load_dataset(self, dataset_name):\r\n configs = self.dataset_tester.load_all_configs(dataset_name, is_local=True)[:1]\r\n> self.dataset_tester.check_load_dataset(dataset_name, configs, is_local=True, use_l... | 2026-09-10T14:08:03 | 2026-09-10T14:10:28 | null | null | CONTRIBUTOR | [] | null | null | null | null |
### Describe the bug
`decode(num_threads=N)` (added in #7450, "speeds up streaming up to 20 times") schedules the sync `decode_example` calls onto a `multiprocessing.pool.ThreadPool` and bridges them into the async map machinery with a busy-poll (`iterable_dataset.py`):
```python
async def _apply_async(pool, func, x... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8590 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8590/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8590/comments | https://api.github.com/repos/huggingface/datasets/issues/8590/events | https://github.com/huggingface/datasets/issues/8590 | 5,391,094,167 | I_kwDODunzps8AAAABQVWRlw | 8,590 | record_checksums default changed True -> False in 4.8.5, not in the release notes | {
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"@albertvillanova my tests are failing here:\r\n```\r\ndataset_name = 'gooaq'\r\n\r\n def test_load_dataset(self, dataset_name):\r\n configs = self.dataset_tester.load_all_configs(dataset_name, is_local=True)[:1]\r\n> self.dataset_tester.check_load_dataset(dataset_name, configs, is_local=True, use_l... | 2026-09-08T19:36:25 | 2026-09-16T23:00:38 | null | null | NONE | [] | null | null | null | null | ### What changed
Between 4.8.4 and 4.8.5, checksum recording flipped from on to off by default in two places. From the sdists:
```
4.8.4 src/datasets/download/download_manager.py:80 record_checksums=True
4.8.5 src/datasets/download/download_manager.py:80 record_checksums=False
4.8.4 src/datasets/utils/info_ut... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8681 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8681/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8681/comments | https://api.github.com/repos/huggingface/datasets/issues/8681/events | https://github.com/huggingface/datasets/issues/8681 | 5,573,876,336 | I_kwDODunzps8AAAABTDqacA | 8,681 | Casting `large_string` / `string_view` to ClassLabel fails, so `Dataset.from_pandas(df, features=ClassLabel)` breaks with pandas 3 | {
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"@albertvillanova my tests are failing here:\r\n```\r\ndataset_name = 'gooaq'\r\n\r\n def test_load_dataset(self, dataset_name):\r\n configs = self.dataset_tester.load_all_configs(dataset_name, is_local=True)[:1]\r\n> self.dataset_tester.check_load_dataset(dataset_name, configs, is_local=True, use_l... | 2026-09-24T20:03:05 | 2026-09-24T20:03:05 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
`ClassLabel.cast_storage` only maps label strings to ids when the storage is a `pa.StringArray` (`src/datasets/features/features.py`, ~L1195: `elif isinstance(storage, pa.StringArray):`). `pa.LargeStringArray` and `pa.StringViewArray` are not subclasses of it, so they skip the mapping and go strai... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8675 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8675/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8675/comments | https://api.github.com/repos/huggingface/datasets/issues/8675/events | https://github.com/huggingface/datasets/issues/8675 | 5,560,824,749 | I_kwDODunzps8AAAABS3NzrQ | 8,675 | load_dataset("json") fails on mixed-shape JSONL when a chunksize boundary separates the shapes | {
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"@albertvillanova my tests are failing here:\r\n```\r\ndataset_name = 'gooaq'\r\n\r\n def test_load_dataset(self, dataset_name):\r\n configs = self.dataset_tester.load_all_configs(dataset_name, is_local=True)[:1]\r\n> self.dataset_tester.check_load_dataset(dataset_name, configs, is_local=True, use_l... | 2026-09-23T23:31:51 | 2026-09-24T00:46:12 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
`load_dataset("json")` raises `DatasetGenerationError` ("column names don't match") on a valid JSONL file that mixes two record shapes, whenever the default 10MB `chunksize` splits the file so that different chunks see different sets of columns.
The JSON loader reads the file in `chunksize` batch... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8671 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8671/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8671/comments | https://api.github.com/repos/huggingface/datasets/issues/8671/events | https://github.com/huggingface/datasets/issues/8671 | 5,550,986,915 | I_kwDODunzps8AAAABSt1Wow | 8,671 | push_to_hub() / to_parquet() leave nested list/struct columns uncompressed | {
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"@albertvillanova my tests are failing here:\r\n```\r\ndataset_name = 'gooaq'\r\n\r\n def test_load_dataset(self, dataset_name):\r\n configs = self.dataset_tester.load_all_configs(dataset_name, is_local=True)[:1]\r\n> self.dataset_tester.check_load_dataset(dataset_name, configs, is_local=True, use_l... | 2026-09-23T08:44:43 | 2026-09-23T08:44:43 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
`push_to_hub()` and `to_parquet()` silently write nested (list/struct) columns UNCOMPRESSED, while flat columns get snappy. Measured impact: ~30x size inflation for nested-column datasets (a 114 MB JSONL with list/struct columns pushes as a 215 MB shard; the same data with compression applied is ~... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8669 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8669/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8669/comments | https://api.github.com/repos/huggingface/datasets/issues/8669/events | https://github.com/huggingface/datasets/issues/8669 | 5,542,791,526 | I_kwDODunzps8AAAABSmBJZg | 8,669 | `IterableDataset.shuffle()` in 5.0 reports `num_shards = min(files per source)`, leaving DataLoader workers and distributed nodes without data | {
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"@albertvillanova my tests are failing here:\r\n```\r\ndataset_name = 'gooaq'\r\n\r\n def test_load_dataset(self, dataset_name):\r\n configs = self.dataset_tester.load_all_configs(dataset_name, is_local=True)[:1]\r\n> self.dataset_tester.check_load_dataset(dataset_name, configs, is_local=True, use_l... | 2026-09-22T17:12:31 | 2026-09-22T17:12:31 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
I recently updated an env to datasets 5.0.1 and ended up with several of my DataLoader workers spinning. Spinning issue is on my end, and there is a viable workaround, but there's a change on the datasets side that triggered and may be unexpected / sub-optimal in common use cases.
Since 5.0.0 (#... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8663 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8663/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8663/comments | https://api.github.com/repos/huggingface/datasets/issues/8663/events | https://github.com/huggingface/datasets/issues/8663 | 5,537,226,391 | I_kwDODunzps8AAAABSgtelw | 8,663 | IterableDataset numpy format returns object instead of the declared dtype | {
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"@albertvillanova my tests are failing here:\r\n```\r\ndataset_name = 'gooaq'\r\n\r\n def test_load_dataset(self, dataset_name):\r\n configs = self.dataset_tester.load_all_configs(dataset_name, is_local=True)[:1]\r\n> self.dataset_tester.check_load_dataset(dataset_name, configs, is_local=True, use_l... | 2026-09-22T08:39:29 | 2026-09-22T08:41:52 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
`NumpyFormatter._consolidate` builds a typed array only when every element is an `np.ndarray`. numpy **scalars** are `np.number`, not `np.ndarray`.
### Face 1 — `IterableDataset.batch()` on an arrow-backed dataset
`.batch()` regroups via a Python transpose
(`_batch_fn = lambda unbatched: {k: [v]... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8659 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8659/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8659/comments | https://api.github.com/repos/huggingface/datasets/issues/8659/events | https://github.com/huggingface/datasets/issues/8659 | 5,529,142,676 | I_kwDODunzps8AAAABSZAFlA | 8,659 | TranslationVariableLanguages crashes on empty translations with declared languages | {
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"@albertvillanova my tests are failing here:\r\n```\r\ndataset_name = 'gooaq'\r\n\r\n def test_load_dataset(self, dataset_name):\r\n configs = self.dataset_tester.load_all_configs(dataset_name, is_local=True)[:1]\r\n> self.dataset_tester.check_load_dataset(dataset_name, configs, is_local=True, use_l... | 2026-09-21T15:38:25 | 2026-09-21T15:38:25 | null | null | NONE | [] | null | null | null | null | ## Describe the bug
With an explicit language list, `TranslationVariableLanguages.encode_example()`
raises `ValueError: not enough values to unpack (expected 2, got 0)` for `{}`,
`{"en": []}`, or `{"en": [], "fr": []}`. The same inputs also prevent
`Dataset.from_dict()` from constructing a dataset.
The equivalent alr... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8653 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8653/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8653/comments | https://api.github.com/repos/huggingface/datasets/issues/8653/events | https://github.com/huggingface/datasets/issues/8653 | 5,526,093,910 | I_kwDODunzps8AAAABSWGAVg | 8,653 | Long lock filenames do not provide mutual exclusion across Python processes | {
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"@albertvillanova my tests are failing here:\r\n```\r\ndataset_name = 'gooaq'\r\n\r\n def test_load_dataset(self, dataset_name):\r\n configs = self.dataset_tester.load_all_configs(dataset_name, is_local=True)[:1]\r\n> self.dataset_tester.check_load_dataset(dataset_name, configs, is_local=True, use_l... | 2026-09-21T11:02:34 | 2026-09-21T11:02:34 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
`FileLock.hash_filename_if_too_long()` uses Python's `hash(filename)` to shorten long lock filenames. String hashes vary between independently started Python processes, so two processes given the same long lock path can lock different files and both enter the protected section.
This affects paths... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8637 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8637/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8637/comments | https://api.github.com/repos/huggingface/datasets/issues/8637/events | https://github.com/huggingface/datasets/issues/8637 | 5,492,155,234 | I_kwDODunzps8AAAABR1ujYg | 8,637 | FileLock wrapper drops timeout and every other constructor argument | {
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"@albertvillanova my tests are failing here:\r\n```\r\ndataset_name = 'gooaq'\r\n\r\n def test_load_dataset(self, dataset_name):\r\n configs = self.dataset_tester.load_all_configs(dataset_name, is_local=True)[:1]\r\n> self.dataset_tester.check_load_dataset(dataset_name, configs, is_local=True, use_l... | 2026-09-17T20:04:06 | 2026-09-24T07:24:10 | null | null | CONTRIBUTOR | [] | null | null | null | null | ### Describe the bug
`datasets.utils._filelock.FileLock` silently discards every keyword argument except `lock_file`. Passing `timeout=` has no effect, and `is_singleton=True` raises instead of returning the cached lock.
The wrapper declares a variadic signature:
```python
# src/datasets/utils/_filelock.py
def __ini... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8626 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8626/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8626/comments | https://api.github.com/repos/huggingface/datasets/issues/8626/events | https://github.com/huggingface/datasets/issues/8626 | 5,458,588,402 | I_kwDODunzps8AAAABRVty8g | 8,626 | Probabilistic interleave without replacement samples empty datasets | {
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"@albertvillanova my tests are failing here:\r\n```\r\ndataset_name = 'gooaq'\r\n\r\n def test_load_dataset(self, dataset_name):\r\n configs = self.dataset_tester.load_all_configs(dataset_name, is_local=True)[:1]\r\n> self.dataset_tester.check_load_dataset(dataset_name, configs, is_local=True, use_l... | 2026-09-15T06:48:36 | 2026-09-15T06:48:36 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
With probabilities and `stopping_strategy="all_exhausted_without_replacement"`, an empty map-style input can add a duplicate row from another source or cause an out-of-range index. This can happen when filtering one of the datasets before mixing them.
### Steps to reproduce
```python
from datase... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8618 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8618/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8618/comments | https://api.github.com/repos/huggingface/datasets/issues/8618/events | https://github.com/huggingface/datasets/issues/8618 | 5,448,559,733 | I_kwDODunzps8AAAABRMJsdQ | 8,618 | `DataFilesList.filter()` leaves `origin_metadata` misaligned with the filtered files | {
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"@albertvillanova my tests are failing here:\r\n```\r\ndataset_name = 'gooaq'\r\n\r\n def test_load_dataset(self, dataset_name):\r\n configs = self.dataset_tester.load_all_configs(dataset_name, is_local=True)[:1]\r\n> self.dataset_tester.check_load_dataset(dataset_name, configs, is_local=True, use_l... | 2026-09-14T11:12:17 | 2026-09-14T11:12:17 | null | null | NONE | [] | null | null | null | null | ## Description
`DataFilesList` keeps `origin_metadata`, a list parallel to the file list where
each entry describes the origin of the file at the same index (e.g. the data
files pattern it was resolved from). After `filter()` removes some files, the
returned `DataFilesList` keeps the *unfiltered* `origin_metadata`, so... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8617 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8617/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8617/comments | https://api.github.com/repos/huggingface/datasets/issues/8617/events | https://github.com/huggingface/datasets/issues/8617 | 5,448,559,498 | I_kwDODunzps8AAAABRMJrig | 8,617 | `SplitDict.copy()` crashes when `dataset_name` is not set | {
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"@albertvillanova my tests are failing here:\r\n```\r\ndataset_name = 'gooaq'\r\n\r\n def test_load_dataset(self, dataset_name):\r\n configs = self.dataset_tester.load_all_configs(dataset_name, is_local=True)[:1]\r\n> self.dataset_tester.check_load_dataset(dataset_name, configs, is_local=True, use_l... | 2026-09-14T11:12:15 | 2026-09-24T09:07:48 | null | null | NONE | [] | null | null | null | null | ## Description
`SplitDict.copy()` (and `SplitDict.from_split_dict`) crashes with
`AttributeError: 'SplitInfo' object has no attribute 'get'` whenever the split
dict contains `SplitInfo` objects and `dataset_name` is `None`.
## Reproduction
```python
from datasets import SplitDict, SplitInfo
split_dict = SplitDict({... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8612 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8612/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8612/comments | https://api.github.com/repos/huggingface/datasets/issues/8612/events | https://github.com/huggingface/datasets/issues/8612 | 5,433,977,361 | I_kwDODunzps8AAAABQ-PqEQ | 8,612 | load_dataset on a dataset name with no namespace raises HfUriError | {
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"@albertvillanova my tests are failing here:\r\n```\r\ndataset_name = 'gooaq'\r\n\r\n def test_load_dataset(self, dataset_name):\r\n configs = self.dataset_tester.load_all_configs(dataset_name, is_local=True)[:1]\r\n> self.dataset_tester.check_load_dataset(dataset_name, configs, is_local=True, use_l... | 2026-09-12T14:43:32 | 2026-09-12T14:43:32 | null | null | CONTRIBUTOR | [] | null | null | null | null | `load_dataset` on a dataset name with no namespace fails at HEAD and on 5.0.1:
```python
>>> from datasets import load_dataset
>>> load_dataset("imdb", split="train[:5]")
...
File "src/datasets/load.py", line 609, in get_module
standalone_yaml_path = cached_path(
File "src/datasets/utils/file_utils.py", line 1... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8608 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8608/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8608/comments | https://api.github.com/repos/huggingface/datasets/issues/8608/events | https://github.com/huggingface/datasets/issues/8608 | 5,430,588,518 | I_kwDODunzps8AAAABQ7A0Zg | 8,608 | `push_to_hub()` keeps stale `dataset_info.features` when re-pushing a single split with different columns | {
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"@albertvillanova my tests are failing here:\r\n```\r\ndataset_name = 'gooaq'\r\n\r\n def test_load_dataset(self, dataset_name):\r\n configs = self.dataset_tester.load_all_configs(dataset_name, is_local=True)[:1]\r\n> self.dataset_tester.check_load_dataset(dataset_name, configs, is_local=True, use_l... | 2026-09-12T02:13:53 | 2026-09-12T02:21:13 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
Re-pushing a dataset's only split with different columns updates the shards and the split
sizes in the README, but silently keeps the **old** `dataset_info.features`. The card then
declares a schema the parquet files no longer have, and the dataset viewer fails on the
first batch with `CastError: ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8596 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8596/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8596/comments | https://api.github.com/repos/huggingface/datasets/issues/8596/events | https://github.com/huggingface/datasets/issues/8596 | 5,413,314,229 | I_kwDODunzps8AAAABQqietQ | 8,596 | load_dataset silently accepts out-of-range ClassLabel indices when the source dtype already matches | {
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"@albertvillanova my tests are failing here:\r\n```\r\ndataset_name = 'gooaq'\r\n\r\n def test_load_dataset(self, dataset_name):\r\n configs = self.dataset_tester.load_all_configs(dataset_name, is_local=True)[:1]\r\n> self.dataset_tester.check_load_dataset(dataset_name, configs, is_local=True, use_l... | 2026-09-10T14:15:14 | 2026-09-16T08:05:39 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
Loading a file whose parsed Arrow dtype already matches a declared `ClassLabel`'s storage type (`int64`) skips the range check entirely. Out-of-range indices load with no error and no warning, and only surface later at `int2str` time or as silently wrong labels during training.
```python
from dat... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8595 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8595/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8595/comments | https://api.github.com/repos/huggingface/datasets/issues/8595/events | https://github.com/huggingface/datasets/issues/8595 | 5,413,236,409 | I_kwDODunzps8AAAABQqduuQ | 8,595 | IterableDataset.decode(num_threads) busy-polls its ThreadPool futures, starving the decode threads — 0 rows on remote audio; callback-based bridging restores the intended 20x | {
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"@albertvillanova my tests are failing here:\r\n```\r\ndataset_name = 'gooaq'\r\n\r\n def test_load_dataset(self, dataset_name):\r\n configs = self.dataset_tester.load_all_configs(dataset_name, is_local=True)[:1]\r\n> self.dataset_tester.check_load_dataset(dataset_name, configs, is_local=True, use_l... | 2026-09-10T14:08:03 | 2026-09-10T14:10:28 | null | null | CONTRIBUTOR | [] | null | null | null | null |
### Describe the bug
`decode(num_threads=N)` (added in #7450, "speeds up streaming up to 20 times") schedules the sync `decode_example` calls onto a `multiprocessing.pool.ThreadPool` and bridges them into the async map machinery with a busy-poll (`iterable_dataset.py`):
```python
async def _apply_async(pool, func, x... | null | {
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