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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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`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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"followers_url": "https://api.github.com/users/HuaTNA/follower... | [] | open | false | [] | null | [] | 2026-09-21 15:38:25 | 2026-09-21 15:38:25 | 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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`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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"Correction to the environment section above, found while testing a change that touches this wrapper.\n\nThis is filelock-version dependent, and filelock 4.0.0 already fixes it. Same probe, same `datasets` commit, only the filelock version differing:\n\n| filelock | `FileLock(p, timeout=5).timeout` | second `FileLo... | 2026-09-17 20:04:06 | 2026-09-17 21:04:15 | 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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"followers_url": "https://api.github.com/users/Hao... | [] | open | false | [] | null | [] | 2026-09-15 06:48:36 | 2026-09-15 06:48:36 | 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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`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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`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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"followers_url": "https://api.github.com/... | [] | open | false | [] | null | [] | 2026-09-12 14:43:32 | 2026-09-12 14:43:32 | 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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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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"Hi! I’d like to work on this issue.\n\nI can reproduce the inconsistent behavior between `from_dict()` and `from_json()` / `from_parquet()`, and I’d like to add regression coverage for out-of-range `ClassLabel` indices while keeping the existing fast path intact where possible.\n\nWould you be okay with me working... | 2026-09-10 14:15:14 | 2026-09-16 08:05:39 | 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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### 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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"I'm adding it to the release notes, thx !",
"Looks like the default for `record_checksums` was switched from True to False in 4.8.5, but it wasn't mentioned in the release notes. This could impact users relying on checksums for data verification.\n"
] | 2026-09-08 19:36:25 | 2026-09-16 23:00:38 | 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/8572 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8572/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8572/comments | https://api.github.com/repos/huggingface/datasets/issues/8572/events | https://github.com/huggingface/datasets/issues/8572 | 5,368,291,669 | I_kwDODunzps8AAAABP_mhVQ | 8,572 | concatenate_datasets(axis=1) drops the columns of a source with no rows instead of raising | {
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`concatenate_datasets([ds1, ds2], axis=1)` returns a dataset without `ds2`'s columns when `ds2` has 0 rows, and raises nothing. The row-count check that rejects every other length mismatch never runs.
### Steps to reproduce
```python
from datasets import Dataset, Features, Value, concatenate_datasets
ds1 = Dataset.... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8570 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8570/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8570/comments | https://api.github.com/repos/huggingface/datasets/issues/8570/events | https://github.com/huggingface/datasets/issues/8570 | 5,362,996,612 | I_kwDODunzps8AAAABP6jVhA | 8,570 | [zh] Add Simplified Chinese translation for README | {
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"followers_url": "https://api.github.com/... | [] | open | false | [] | null | [] | 2026-09-06 05:02:49 | 2026-09-06 05:02:49 | null | null | NONE | [] | null | null | null | null | ### Motivation
🤗 Datasets is a fundamental library widely used by researchers, data scientists, and developers worldwide, with a large and active Chinese-speaking developer and research community.
Providing an accurate, idiomatic Simplified Chinese translation (`README.zh.md`) along with a language switcher will gre... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8568 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8568/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8568/comments | https://api.github.com/repos/huggingface/datasets/issues/8568/events | https://github.com/huggingface/datasets/issues/8568 | 5,362,814,486 | I_kwDODunzps8AAAABP6YOFg | 8,568 | skip() after split_dataset_by_node gives every rank the whole dataset | {
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"followers_url": "https://api.github.com/... | [] | closed | false | [] | null | [] | 2026-09-06 04:19:57 | 2026-09-10 13:35:11 | 2026-09-10 13:35:11 | null | CONTRIBUTOR | [] | null | null | null | null | ### Describe the bug
Calling `.skip()` on an iterable dataset that already went through `split_dataset_by_node` cancels the node split. Each rank then iterates every shard, so a distributed run sees each example `world_size` times.
`SkipExamplesIterable.shard_data_sources` returns `self` when `split_when_sharding` is... | {
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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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"followers_url": "https://api.github.com/... | [] | open | false | [] | null | [] | 2026-09-22 08:39:29 | 2026-09-22 08:41:52 | 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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"followers_url": "https://api.github.com/users/HuaTNA/follower... | [] | open | false | [] | null | [] | 2026-09-21 15:38:25 | 2026-09-21 15:38:25 | 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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`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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"Correction to the environment section above, found while testing a change that touches this wrapper.\n\nThis is filelock-version dependent, and filelock 4.0.0 already fixes it. Same probe, same `datasets` commit, only the filelock version differing:\n\n| filelock | `FileLock(p, timeout=5).timeout` | second `FileLo... | 2026-09-17 20:04:06 | 2026-09-17 21:04:15 | 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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"followers_url": "https://api.github.com/users/Hao... | [] | open | false | [] | null | [] | 2026-09-15 06:48:36 | 2026-09-15 06:48:36 | 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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`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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`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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"followers_url": "https://api.github.com/... | [] | open | false | [] | null | [] | 2026-09-12 14:43:32 | 2026-09-12 14:43:32 | 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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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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"Hi! I’d like to work on this issue.\n\nI can reproduce the inconsistent behavior between `from_dict()` and `from_json()` / `from_parquet()`, and I’d like to add regression coverage for out-of-range `ClassLabel` indices while keeping the existing fast path intact where possible.\n\nWould you be okay with me working... | 2026-09-10 14:15:14 | 2026-09-16 08:05:39 | 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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### 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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"I'm adding it to the release notes, thx !",
"Looks like the default for `record_checksums` was switched from True to False in 4.8.5, but it wasn't mentioned in the release notes. This could impact users relying on checksums for data verification.\n"
] | 2026-09-08 19:36:25 | 2026-09-16 23:00:38 | 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/8572 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8572/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8572/comments | https://api.github.com/repos/huggingface/datasets/issues/8572/events | https://github.com/huggingface/datasets/issues/8572 | 5,368,291,669 | I_kwDODunzps8AAAABP_mhVQ | 8,572 | concatenate_datasets(axis=1) drops the columns of a source with no rows instead of raising | {
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`concatenate_datasets([ds1, ds2], axis=1)` returns a dataset without `ds2`'s columns when `ds2` has 0 rows, and raises nothing. The row-count check that rejects every other length mismatch never runs.
### Steps to reproduce
```python
from datasets import Dataset, Features, Value, concatenate_datasets
ds1 = Dataset.... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8570 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8570/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8570/comments | https://api.github.com/repos/huggingface/datasets/issues/8570/events | https://github.com/huggingface/datasets/issues/8570 | 5,362,996,612 | I_kwDODunzps8AAAABP6jVhA | 8,570 | [zh] Add Simplified Chinese translation for README | {
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"followers_url": "https://api.github.com/... | [] | open | false | [] | null | [] | 2026-09-06 05:02:49 | 2026-09-06 05:02:49 | null | null | NONE | [] | null | null | null | null | ### Motivation
🤗 Datasets is a fundamental library widely used by researchers, data scientists, and developers worldwide, with a large and active Chinese-speaking developer and research community.
Providing an accurate, idiomatic Simplified Chinese translation (`README.zh.md`) along with a language switcher will gre... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8568 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8568/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8568/comments | https://api.github.com/repos/huggingface/datasets/issues/8568/events | https://github.com/huggingface/datasets/issues/8568 | 5,362,814,486 | I_kwDODunzps8AAAABP6YOFg | 8,568 | skip() after split_dataset_by_node gives every rank the whole dataset | {
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Calling `.skip()` on an iterable dataset that already went through `split_dataset_by_node` cancels the node split. Each rank then iterates every shard, so a distributed run sees each example `world_size` times.
`SkipExamplesIterable.shard_data_sources` returns `self` when `split_when_sharding` is... | {
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https://api.github.com/repos/huggingface/datasets/issues/8560 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8560/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8560/comments | https://api.github.com/repos/huggingface/datasets/issues/8560/events | https://github.com/huggingface/datasets/issues/8560 | 5,341,909,251 | I_kwDODunzps8AAAABPmcRAw | 8,560 | Bump fsspec to 2026.7.0 | {
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Can open a PR! | {
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https://api.github.com/repos/huggingface/datasets/issues/8543 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8543/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8543/comments | https://api.github.com/repos/huggingface/datasets/issues/8543/events | https://github.com/huggingface/datasets/issues/8543 | 5,308,784,806 | I_kwDODunzps8AAAABPG2gpg | 8,543 | xPath.glob passes double-wrapped storage options to url_to_fs | {
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"#self-assign\n",
"#self-assign"
] | 2026-09-01 06:58:36 | 2026-09-01 08:48:03 | null | null | CONTRIBUTOR | [] | null | null | null | null | ### Describe the bug
`xPath.glob` adds a second protocol key to the storage options before passing them to `url_to_fs`, so fsspec receives `https={'https': {...}}` instead of `https={...}`.
`_prepare_path_and_storage_options` already returns them protocol keyed, and the docstring of `_prepare_single_hop_path_and_stor... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8537 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8537/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8537/comments | https://api.github.com/repos/huggingface/datasets/issues/8537/events | https://github.com/huggingface/datasets/issues/8537 | 5,291,992,964 | I_kwDODunzps8AAAABO21nhA | 8,537 | JPEG XL support | {
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"I think we just need to make sure Pillow can load such images, and if we need a plugin of some sort or no.\n\nIn the Viewer images will appear on browsers that support JXL",
"For Pillow you have e.g. https://pypi.org/project/pillow-jxl-plugin/\n\nFor the Dataset Viewer and the Data Studio I don't see any images,... | 2026-08-30 12:13:56 | 2026-09-02 18:34:32 | null | null | NONE | [] | null | null | null | null | It seems that the dataset don't support JXL natively in the same ways as e.g. PNG and JPEG are supported. A JPEG XL is supported by an international ISO standard, gives great compression ratios, finally supports lossless for JPEG and the browser support is now starting to get wide spread (safari has it for some time ->... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8522 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8522/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8522/comments | https://api.github.com/repos/huggingface/datasets/issues/8522/events | https://github.com/huggingface/datasets/issues/8522 | 5,277,366,650 | I_kwDODunzps8AAAABOo45eg | 8,522 | Docs proposal: relabel left/right segmentation classes during horizontal flips | {
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"Hi! Opening a PR for this docs request.\n\nAdded a section that flips image/mask together and swaps the directional label pairs on the human parsing dataset, plus an optional AlbumentationsX mapping for folks who already use that stack.\n\n#self-assign"
] | 2026-08-28 10:39:42 | 2026-09-02 03:48:31 | null | null | CONTRIBUTOR | [] | null | null | null | null | ### Feature request
Would you be open to a self-contained documentation recipe showing how to relabel directional semantic classes during a horizontal flip? It could be a separate section in [`docs/source/semantic_segmentation.mdx`](https://github.com/huggingface/datasets/blob/main/docs/source/semantic_segmentation.md... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8511 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8511/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8511/comments | https://api.github.com/repos/huggingface/datasets/issues/8511/events | https://github.com/huggingface/datasets/issues/8511 | 5,233,130,028 | I_kwDODunzps8AAAABN-s6LA | 8,511 | `Image.cast_storage` warns about downcasting int64 to uint8 for storage that is already uint8 | {
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Casting a nested-list column whose Arrow value type is already `uint8` to `Image()` emits a spurious warning:
```
UserWarning: Downcasting array dtype int64 to uint8 to be compatible with 'Pillow'
```
No downcast is actually needed. The Arrow storage type is `list<item: list<item: list<item: uin... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8507 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8507/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8507/comments | https://api.github.com/repos/huggingface/datasets/issues/8507/events | https://github.com/huggingface/datasets/issues/8507 | 5,228,485,367 | I_kwDODunzps8AAAABN6Ra9w | 8,507 | ArrayXD silently reshapes inputs with incompatible nested dimensions | {
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"#self-assign"
] | 2026-08-23 18:42:56 | 2026-08-23 18:43:58 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
`Array2D` and the other `ArrayXD` features accept nested input whose dimensions do not match the declared shape when the total number of values happens to match.
For example, data shaped like `(2, 2)` can be created from rows of lengths `3` and `1`. When the value is read back, the rows are silen... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8505 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8505/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8505/comments | https://api.github.com/repos/huggingface/datasets/issues/8505/events | https://github.com/huggingface/datasets/issues/8505 | 5,226,790,433 | I_kwDODunzps8AAAABN4p-IQ | 8,505 | Request to correct language name for ISO code 'blk' from 'Pa'o Karen' to 'Pa'O' | {
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Dear Hugging Face Team,
I am writing to request a correction regarding the language display name associated with the ISO 639-3 code `blk` on the platform.
Currently, it is displayed as **"Pa'O Karen"**. However, as a native speaker and local member of the Pa'O community, this terminology is inco... | 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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"# `tsfile` facet — neither URL names a format\n\nFindings only; no request for action. Figures carry their date. Retracted claims are kept.\n\n`?format=tsfile` and `?format=format:tsfile` are not two spellings of the same filter. They are not two routes to a `format:` facet either: `tsfile` is not in the Hub forma... | 2026-08-19 11:35:39 | 2026-09-01 04:16:37 | null | null | NONE | [] | null | null | null | null |
## 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/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/8491 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8491/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8491/comments | https://api.github.com/repos/huggingface/datasets/issues/8491/events | https://github.com/huggingface/datasets/issues/8491 | 5,168,815,070 | I_kwDODunzps8AAAABNBXb3g | 8,491 | `Dataset.map(num_proc=N)` worker crashes with `ValueError: I/O operation on closed file` when `finalize()` is interrupted | {
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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... | 2026-08-17 06:05:58 | 2026-09-10 09:48:38 | 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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https://api.github.com/repos/huggingface/datasets/issues/8483 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8483/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8483/comments | https://api.github.com/repos/huggingface/datasets/issues/8483/events | https://github.com/huggingface/datasets/issues/8483 | 5,160,294,983 | I_kwDODunzps8AAAABM5PaRw | 8,483 | Dataset.take(n) raises IndexError when n > len(dataset), but IterableDataset.take(n) returns what it has | {
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"I'll work on this. Could you assign it to me?\n\nI'll reproduce from the report, fix the failure path, and add a test so it stays fixed.\n",
"Just checking in. I've started working on reproducing the issue and will proceed with the fix as discussed. Let me know if there are any changes in direction or additional... | 2026-08-15 16:32:03 | 2026-09-08 10:02:39 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
`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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https://api.github.com/repos/huggingface/datasets/issues/8481 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8481/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8481/comments | https://api.github.com/repos/huggingface/datasets/issues/8481/events | https://github.com/huggingface/datasets/issues/8481 | 5,158,540,024 | I_kwDODunzps8AAAABM3kS-A | 8,481 | ClassLabel.str2int and int2str do not validate the elements of an iterable | {
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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... | 2026-08-15 08:43:11 | 2026-08-17 06:13:32 | 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/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/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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"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"
] | 2026-08-12 07:52:28 | 2026-08-16 15:56:35 | 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/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/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/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/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/8458 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8458/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8458/comments | https://api.github.com/repos/huggingface/datasets/issues/8458/events | https://github.com/huggingface/datasets/issues/8458 | 5,110,353,136 | I_kwDODunzps8AAAABMJnM8A | 8,458 | Replace httpx with httpx2 | {
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"Hi @lhoestq can I work on this",
"I think if we would have to discuss in a https://github.com/huggingface/huggingface_hub/ issue about it and `datasets` could align with what's decided there"
] | 2026-08-10 13:01:44 | 2026-08-16 15:56:33 | null | null | NONE | [] | null | null | null | null | ### Feature request
Replace the httpx library with the [httpx2](https://github.com/pydantic/httpx2) fork, maintained by Pydantic.
### Motivation
Httpx has not been released since December 2024, and has closed all public access to Issues / Discussions / PRs, this raises questions about the actual state of maintenance... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8410 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8410/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8410/comments | https://api.github.com/repos/huggingface/datasets/issues/8410/events | https://github.com/huggingface/datasets/issues/8410 | 5,083,948,009 | I_kwDODunzps8AAAABLwbj6Q | 8,410 | _legacy_no_dict_keys_sorting has no reader since #7817, so the 2.15.0 legacy cache lookup computes the wrong config_id | {
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`Pickler._legacy_no_dict_keys_sorting` has a definition and a writer, but since #7817 it has no reader, so the flag does nothing.
`DatasetBuilder._check_legacy_cache2` patches it on to recompute the `config_id` that 2.15.0 would have produced, because 2.15.0 hashed dicts without sorting their ite... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8394 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8394/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8394/comments | https://api.github.com/repos/huggingface/datasets/issues/8394/events | https://github.com/huggingface/datasets/issues/8394 | 5,060,755,332 | I_kwDODunzps8AAAABLaT_hA | 8,394 | IterableDataset.repeat() drops the Arrow fast path and widens numpy dtypes | {
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`RepeatExamplesIterable` is the only wrapper in `iterable_dataset.py` that does not forward `iter_arrow`, `is_typed` and `features` to the iterable it wraps. Two things follow from that: `.repeat()` drops the Arrow fast path, and under `numpy` format it silently widens the declared dtypes.
`SkipE... | {
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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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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... | {
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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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"#self-assign"
] | 2026-08-04 05:36:19 | 2026-08-06 02:08:27 | null | null | CONTRIBUTOR | [] | null | null | null | null | ### 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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"#self-assign\n\nOpened a fix in #8459."
] | 2026-08-04 05:36:00 | 2026-08-10 23:10:37 | null | null | CONTRIBUTOR | [] | null | null | null | null | ### 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/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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"Confirmed on current `main` (`3e2c1a6c3`), and the `Dataset.batch()` half is worse than the title suggests: it hands back the **unbatched** input, so both the row count and the schema are wrong while `IterableDataset.batch()` correctly yields nothing.\n\nExecuted against `3e2c1a6c3` (3-row dataset, `batch_size=5`,... | 2026-08-04 03:21:59 | 2026-09-18 16:59:48 | null | null | CONTRIBUTOR | [] | null | null | null | null | ### 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/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",
"@ebarkhordar i checked #8381 on current main and both default exports still return generators. i saw you kept the branch for #8382. are you planning to reopen it? lmk if i can help refresh the tests, or pick it up if you've moved on.\n",
"Take it. I closed #8382 because it sat a month without a review... | 2026-08-03 18:35:13 | 2026-09-15 06:18:13 | null | null | CONTRIBUTOR | [] | null | null | null | null | ### Describe the bug
`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/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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"#self-assign"
] | 2026-07-31 01:50:02 | 2026-08-12 06:30:29 | null | null | NONE | [] | null | null | null | null | ### 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/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,... | 2026-07-29 15:00:19 | 2026-08-29 21:30:28 | null | null | NONE | [] | null | null | null | null | ### 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/8365 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8365/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8365/comments | https://api.github.com/repos/huggingface/datasets/issues/8365/events | https://github.com/huggingface/datasets/issues/8365 | 4,975,978,462 | I_kwDODunzps8AAAABKJdn3g | 8,365 | to_json/to_csv/to_sql cast nullable integer columns to float, corrupting values past 2**53 | {
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`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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https://api.github.com/repos/huggingface/datasets/issues/8362 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8362/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8362/comments | https://api.github.com/repos/huggingface/datasets/issues/8362/events | https://github.com/huggingface/datasets/issues/8362 | 4,965,203,691 | I_kwDODunzps8AAAABJ_L-6w | 8,362 | ArrayXD fixed-shape integer column with a null row is silently cast to float on the python read path | {
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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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https://api.github.com/repos/huggingface/datasets/issues/8359 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8359/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8359/comments | https://api.github.com/repos/huggingface/datasets/issues/8359/events | https://github.com/huggingface/datasets/issues/8359 | 4,964,932,317 | I_kwDODunzps8AAAABJ-7a3Q | 8,359 | IterableDataset.filter() checkpoint/resume silently drops the rest of the in-flight Arrow table | {
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"#self-assign"
] | 2026-07-24 03:36:32 | 2026-07-24 12:06:21 | 2026-07-24 12:06:21 | null | CONTRIBUTOR | [] | null | null | null | null | ### 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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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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`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/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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`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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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"
] | 2026-07-18 09:41:43 | 2026-07-22 18:35:31 | 2026-07-22 18:35:31 | null | CONTRIBUTOR | [] | null | null | null | null | ### 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/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... | 2026-07-14 13:59:29 | 2026-07-17 12:09:35 | 2026-07-17 12:09:34 | null | NONE | [] | null | null | null | null | ### 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"
] | 2026-07-14 13:06:53 | 2026-07-24 15:26:15 | 2026-07-24 15:26:15 | null | NONE | [] | null | null | null | null | ### 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/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... | 2026-07-14 09:21:43 | 2026-07-24 15:26:24 | 2026-07-24 15:26:24 | null | NONE | [] | null | null | null | null | ### 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... | 2026-07-13 14:13:38 | 2026-07-22 17:28:51 | 2026-07-22 17:28:51 | null | NONE | [] | null | null | null | null | ### 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/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"
] | 2026-07-12 15:38:21 | 2026-07-23 15:37:57 | 2026-07-23 15:37:57 | null | NONE | [] | null | null | null | null | ### 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/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... | 2026-07-06 10:12:27 | 2026-07-24 07:58:49 | 2026-07-23 13:12:33 | null | CONTRIBUTOR | [] | null | null | null | null |
## 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.
This causes a second consecut... | {
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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'... | 2026-07-03 15:33:39 | 2026-08-27 07:40:40 | null | null | NONE | [] | null | null | null | null | ### Feature request
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/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... | 2026-06-30 18:46:34 | 2026-08-29 21:30:27 | null | null | CONTRIBUTOR | [] | null | null | null | null | ### Describe the bug
## 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/8293 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8293/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8293/comments | https://api.github.com/repos/huggingface/datasets/issues/8293/events | https://github.com/huggingface/datasets/issues/8293 | 4,774,067,106 | I_kwDODunzps8AAAABHI57og | 8,293 | Support concatenating multiple streaming datasets while preserving the sum of shards | {
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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': ... | 2026-06-30 05:44:23 | 2026-07-03 13:40:43 | null | null | NONE | [] | null | null | null | null | ### 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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https://api.github.com/repos/huggingface/datasets/issues/8269 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8269/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8269/comments | https://api.github.com/repos/huggingface/datasets/issues/8269/events | https://github.com/huggingface/datasets/issues/8269 | 4,657,872,220 | I_kwDODunzps8AAAABFaF9XA | 8,269 | MetadataConfigs drops parquet shards when exported config rows are non-consecutive | {
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`_from_exported_parquet_files_and_dataset_infos()` uses `itertools.groupby()` on unsorted `exported_parquet_files`.
If the same `config` appears again after another config, the earlier shard URLs are lost.
## Repro
```python
from itertools import groupby
from operator import itemgetter
exported = [
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https://api.github.com/repos/huggingface/datasets/issues/8261 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8261/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8261/comments | https://api.github.com/repos/huggingface/datasets/issues/8261/events | https://github.com/huggingface/datasets/issues/8261 | 4,648,405,033 | I_kwDODunzps8AAAABFREIKQ | 8,261 | Feature Proposal: Add FunASR Chinese/Multilingual ASR Benchmark Datasets | {
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> [!NOTE]
> **License and capability clarification (2026-07-14):** FunASR is a toolkit, not a single checkpoint. The [FunASR](https://github.com/modelscope/FunASR#license) and [SenseVoice](https://github.com/FunAudioLLM/SenseVoice#license) repository source code is MIT; model ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8256 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8256/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8256/comments | https://api.github.com/repos/huggingface/datasets/issues/8256/events | https://github.com/huggingface/datasets/issues/8256 | 4,627,616,612 | I_kwDODunzps8AAAABE9PTZA | 8,256 | Dataset Viewer fails on TSFile datasets | {
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"Thanks for reporting ! I'm working on it :)\n\nThe viewer doesn't use `datasets` V5 yet, I have to do some minor adjustments first",
"I opened a PR that addresses the missing optional tsfile dependency error by replacing the raw ModuleNotFoundError with a clearer ImportError and adding a regression test.\n\nThis... | 2026-06-10 03:15:32 | 2026-07-06 01:52:51 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
## Description
The Dataset Viewer fails when trying to display a dataset stored in TSFile format.
The error shown by the viewer is:
```python
ModuleNotFoundError: No module named 'tsfile'
### Steps to reproduce the bug
# Dataset Viewer fails to load TSFile dataset due to missing `tsfile` depe... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8253 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8253/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8253/comments | https://api.github.com/repos/huggingface/datasets/issues/8253/events | https://github.com/huggingface/datasets/issues/8253 | 4,618,455,811 | I_kwDODunzps8AAAABE0gLAw | 8,253 | Feature request: Add a streaming_shard operator for early sample-level sharding when file-level sharding is insufficient | {
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"I feel like IterableDatasetShard is not well suited for this and shouldn't be used / should be improved. Instead there is `ds.shard()` or even `split_dataset_by_node()` which works when `num_physical_files < global_world_size`. WDYT ?",
"I checked current `main`, and the requested behavior seems to sit between t... | 2026-06-09 03:14:46 | 2026-09-09 13:54:29 | 2026-09-09 13:54:29 | null | NONE | [] | null | null | null | null | ## Feature request: Add a streaming_shard operator for early sample-level sharding when file-level sharding is insufficient
### Proposed API
It would be useful to provide a first-class streaming sharding operator in `datasets`, for example:
```python
dataset = datasets.load_dataset(..., streaming=True, split="train"... | {
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https://api.github.com/repos/huggingface/datasets/issues/8247 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8247/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8247/comments | https://api.github.com/repos/huggingface/datasets/issues/8247/events | https://github.com/huggingface/datasets/issues/8247 | 4,607,104,776 | I_kwDODunzps8AAAABEprXCA | 8,247 | VORTEXRAG benchmarked on 6 HuggingFace datasets — new open-source RAG framework | {
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**VORTEXRAG** was evaluated on 6 datasets available on the HuggingFace Hub using datasets.load_dataset():
- NQ, TriviaQA, WebQ, PopQA, HotpotQA, 2WikiMultiHopQA
Results: EM 74.8, F1 82.6 averaged across all 6. Full evaluation code is in the repo.
- GitHub: https://github.com/vignesh202... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8246 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8246/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8246/comments | https://api.github.com/repos/huggingface/datasets/issues/8246/events | https://github.com/huggingface/datasets/issues/8246 | 4,606,509,015 | I_kwDODunzps8AAAABEpG_1w | 8,246 | RecursionError when loading GLB file with deeply nested JSON in Mesh feature | {
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"#self-assign"
] | 2026-06-07 07:10:22 | 2026-08-12 06:46:48 | null | null | NONE | [] | null | null | null | null | ## Description
Loading a GLB file with deeply nested JSON chunk causes a RecursionError, crashing the application.
## Step to Reproduce
```python
from datasets import Dataset, Mesh
import tempfile, os, struct
def make_malicious_glb(depth=5000):
json_chunk = (b'{"a":' * depth + b'1' + b'}' * depth)
magic = b... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8242 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8242/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8242/comments | https://api.github.com/repos/huggingface/datasets/issues/8242/events | https://github.com/huggingface/datasets/issues/8242 | 4,599,059,760 | I_kwDODunzps8AAAABEiAVMA | 8,242 | "eval_strategy": "no" perform evaluation | {
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"Wrong repo, this belongs in axolotl, not `datasets`. And `eval_strategy: \"no\"` was never going to stop it.\n\nWhat hangs you is the diffusion plugin's sample generation. `DiffusionGenerationCallback.on_step_end` fires on `global_step % generation_interval == 0` and ignores `eval_strategy`. When you have no eval ... | 2026-06-05 18:08:17 | 2026-06-20 14:48:43 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
Hi,
I'm trying to train a diffusion model and I getting stuck with
```
strace -p 967873
strace: Process 967873 attached
ioctl(9, _IOC(_IOC_READ|_IOC_WRITE, 0x46, 0x2a, 0x20), 0x7fff18579d90) = 0
ioctl(9, _IOC(_IOC_READ|_IOC_WRITE, 0x46, 0x2a, 0x20), 0x7fff18579d90) = 0
```
But my issue is that ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8241 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8241/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8241/comments | https://api.github.com/repos/huggingface/datasets/issues/8241/events | https://github.com/huggingface/datasets/issues/8241 | 4,597,756,669 | I_kwDODunzps8AAAABEgwy_Q | 8,241 | load_dataset("json", ...) infers a different schema when the JSONL file starts with a UTF-8 BOM | {
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"#self-assign"
] | 2026-06-05 14:39:46 | 2026-06-09 15:48:27 | 2026-06-09 15:48:27 | null | NONE | [] | null | null | null | null | ### Describe the bug
When a JSONL file starts with a UTF-8 BOM (`\xef\xbb\xbf`), `datasets.load_dataset("json", data_files=...)` infers a different schema than when the same file is loaded without the BOM. Specifically, the loader's "mixed-struct-types" pre-scan — which normally promotes columns with heterogeneous nes... | {
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https://api.github.com/repos/huggingface/datasets/issues/8217 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8217/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8217/comments | https://api.github.com/repos/huggingface/datasets/issues/8217/events | https://github.com/huggingface/datasets/issues/8217 | 4,501,694,591 | I_kwDODunzps8AAAABDFJofw | 8,217 | Multi-GPU Training with Large Dataset — NCCL Timeouts / Slow Data Loading + Excessive Memory Usage with keep_in_memory=True | {
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"Hi @D222097,\n\nWe have audited the architectural footprint of your multi-GPU training setup. The behaviors you are experiencing are not bugs within the `datasets` library, but rather fundamental limitations of Python's process architecture interacting with hardware topologies. \n\nHere is the clinical breakdown o... | 2026-05-22 09:55:13 | 2026-06-03 02:12:43 | 2026-06-03 02:12:43 | null | NONE | [] | null | null | null | null | Hi, I'm training a large dataset using Lerobot (which relies on Hugging Face Datasets) and encountering severe performance issues when scaling to multi-GPU training.
### Problem Description
- Unstable/slow data loading + NCCL timeouts
- Step time fluctuates drastically: ~1s/step (fast) vs ~45s/step (extremely slow)
... | {
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https://api.github.com/repos/huggingface/datasets/issues/8204 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8204/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8204/comments | https://api.github.com/repos/huggingface/datasets/issues/8204/events | https://github.com/huggingface/datasets/issues/8204 | 4,460,017,531 | I_kwDODunzps8AAAABCdZ3ew | 8,204 | Please enable Private Vulnerability Reporting | {
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I have a security finding in datasets that I would like to disclose privately. GitHub Private Vulnerability Reporting is currently disabled on this repo.
Could you turn it on? It's at Settings > Security > Code security and analysis > Private vulnerability reporting. Once enabled I will file the ful... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8201 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8201/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8201/comments | https://api.github.com/repos/huggingface/datasets/issues/8201/events | https://github.com/huggingface/datasets/issues/8201 | 4,456,407,352 | I_kwDODunzps8AAAABCZ9hOA | 8,201 | Encountered an error when loading data in WebDataset format using `load_datasets` during multi-matchines training. | {
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"Hi @aihao2000 ! I was looking into this multi-machine training scenario and just opened a PR (#8203 ) that safely skips feature inference for empty shards during distributed streaming.\n\nplease! Check it out and see if it looks like it will resolve the weird bugs you were hitting!",
"it looks like there less da... | 2026-05-15 19:21:24 | 2026-05-20 12:58:57 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
Single-machine training works fine, but multi-machine training throws up all sorts of weird bugs. Help me!
### Steps to reproduce the bug
train_dataset = load_dataset(
"webdataset", data_files=args.train_dataset, split="train", streaming=True,cache_dir='/dev/shm/.cache'
)
args.train... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8199 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8199/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8199/comments | https://api.github.com/repos/huggingface/datasets/issues/8199/events | https://github.com/huggingface/datasets/issues/8199 | 4,455,786,605 | I_kwDODunzps8AAAABCZXobQ | 8,199 | Replace AutoFeatureExtractor with AutoImageProcessor in image preprocessing docs | {
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"I'd like to work on this. I'll open a PR shortly."
] | 2026-05-15 17:34:53 | 2026-07-22 17:35:56 | 2026-07-22 17:35:56 | null | NONE | [] | null | null | null | null | ## Summary
The `docs/source/use_dataset.mdx` documentation uses `AutoFeatureExtractor` from `transformers` in its image preprocessing example. For vision models, `AutoImageProcessor` is now the recommended API and better reflects current `transformers` conventions.
## Problem
In the [[Apply data augmentations](https... | {
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https://api.github.com/repos/huggingface/datasets/issues/8197 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8197/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8197/comments | https://api.github.com/repos/huggingface/datasets/issues/8197/events | https://github.com/huggingface/datasets/issues/8197 | 4,452,221,355 | I_kwDODunzps8AAAABCV-Bqw | 8,197 | Feature Request / Discussion: Skip origin_metadata fetch when streaming=True? | {
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"I think it's great that it checks that every file does exist by default. It's relatively cheap since it uses fsspec which caches file info at folder level.\n\nOn the other hand why not add skip_origin_metadata=False from @TheDerbiedOne by default to DatasetBuilder and document what it does (load_dataset passes kwa... | 2026-05-15 07:43:57 | 2026-06-17 03:39:14 | null | null | CONTRIBUTOR | [] | null | null | null | null | Hi team!
I've been looking into the initialization process of the `DatasetBuilder` and noticed that the ETag/origin metadata caching path is executed unconditionally.
While fetching the `origin_metadata` and calculating the ETag is necessary for safely managing a local disk cache when using `as_dataset()`, it seems t... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8178 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8178/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8178/comments | https://api.github.com/repos/huggingface/datasets/issues/8178/events | https://github.com/huggingface/datasets/issues/8178 | 4,397,310,407 | I_kwDODunzps8AAAABBhmhxw | 8,178 | The full dataset viewer is not available (click to read why). Only showing a preview of the rows. Job manager crashed while running this job (missing heartbeats). Error code: JobManagerCrashedError | {
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"Oh yeah, we hit something pretty similar when running a dataset viewer on a large collection (~3M rows) a few months back. The JobManagerCrashedError with missing heartbeats usually showed up for us when the server process ran out of memory or couldn’t keep up with the load spikes during dataset streaming. Turns o... | 2026-05-07 08:33:48 | 2026-05-31 00:09:38 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
Job manager crashed while running this job (missing heartbeats).
Error code: JobManagerCrashedError
see: https://huggingface.co/datasets/Genius-Society/tt100k/viewer
### Steps to reproduce the bug... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8171 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8171/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8171/comments | https://api.github.com/repos/huggingface/datasets/issues/8171/events | https://github.com/huggingface/datasets/issues/8171 | 4,376,879,740 | I_kwDODunzps8AAAABBOHifA | 8,171 | Dataset UI shows 0:00/0:00 for audio after push_to_hub | {
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"Hello,\nI am trying to find my first issue to resolve. I can't reproduce your problem. When I go in the hub UI to your dataset. I can see the length of each audio. It takes some time to load \n\n## Dataset Card\n<img width=\"584\" height=\"644\" alt=\"Image\" src=\"https://github.com/user-attachments/assets/8b0e38... | 2026-05-04 13:17:25 | 2026-05-20 10:46:58 | 2026-05-20 10:46:58 | null | NONE | [] | null | null | null | null | I’m seeing an issue where audio previews in the dataset viewer show `0:00/0:00` after uploading with push_to_hub.
## What I did
I tried to avoid `torchcodec` because I want to keep the packages small using the following code:
```python
import io
import os
import shutil
import tempfile
from pathlib import Path
imp... | {
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https://api.github.com/repos/huggingface/datasets/issues/8169 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8169/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8169/comments | https://api.github.com/repos/huggingface/datasets/issues/8169/events | https://github.com/huggingface/datasets/issues/8169 | 4,366,520,018 | I_kwDODunzps8AAAABBEPO0g | 8,169 | Streaming dataset hangs consistently | {
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"+1 also encountered",
"I pushed a workaround for the current version of PyArrow (24.0.0) and older versions at https://github.com/huggingface/datasets/pull/8176\n\nFor future versions it should be fixed directly in PyArrow"
] | 2026-05-01 20:27:58 | 2026-05-06 16:07:04 | 2026-05-06 16:06:08 | null | NONE | [] | null | null | null | null | ### Describe the bug
When loading a dataset with `streaming=True`, some background process prevents the script from ever returning (or at least for a very long time).
This did not happen with `huggingface-hub < 1`.
### Steps to reproduce the bug
from datasets import load_dataset
ds = load_dataset("IRIIS-RESEARCH/N... | {
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https://api.github.com/repos/huggingface/datasets/issues/8167 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8167/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8167/comments | https://api.github.com/repos/huggingface/datasets/issues/8167/events | https://github.com/huggingface/datasets/issues/8167 | 4,356,674,999 | I_kwDODunzps8AAAABA62Vtw | 8,167 | [BUG] Abnormal progress bar in dataset.map when load_from_cache_file=False | {
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"https://github.com/huggingface/datasets/blob/4e3bf52ff436d841e61211dfa096b5c47197ae36/src/datasets/arrow_dataset.py#L3593-L3598",
"Hi, can you provide more details on the issue ?",
"<img width=\"340\" height=\"26\" alt=\"Image\" src=\"https://github.com/user-attachments/assets/0dca6f47-4a8d-4871-a908-f58df856e... | 2026-04-30 08:47:53 | 2026-05-29 10:59:07 | 2026-05-29 10:59:07 | null | NONE | [] | null | null | null | null | ### Describe the bug
datasets 4.8.5
```python
from datasets import load_dataset, load_from_disk
data = load_from_disk('pretrain_cached_dataset/train')
def dummy_map(example):
return example
dataset = data.map(dummy_map)
dataset = data.map(dummy_map, load_from_cache_file=True) ... | {
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https://api.github.com/repos/huggingface/datasets/issues/8165 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8165/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8165/comments | https://api.github.com/repos/huggingface/datasets/issues/8165/events | https://github.com/huggingface/datasets/issues/8165 | 4,354,878,889 | I_kwDODunzps8AAAABA5ItqQ | 8,165 | IterableDataset: corrupted EXIF image silently terminates streaming iterator instead of skipping the sample | {
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"Hi ! Would it be acceptable to return None instead of skipping ? This way we can provide the same API for non-streaming (since the length of the dataset is known in advance and fixed). Then a subsequent .filter call can take care of skipping the samples. Something like this maybe ?\n\n```python\nds = load_dataset(... | 2026-04-30 02:20:54 | 2026-07-13 15:57:08 | null | null | NONE | [] | null | null | null | null | ## Summary
When iterating over a streaming `IterableDataset` that contains images with corrupted EXIF metadata (e.g., a TIFF rational tag with denominator=0), PIL raises `ZeroDivisionError` inside `exif_transpose`. This exception propagates through the HuggingFace `datasets` pipeline and **terminates the streaming ite... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8164 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8164/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8164/comments | https://api.github.com/repos/huggingface/datasets/issues/8164/events | https://github.com/huggingface/datasets/issues/8164 | 4,354,825,277 | I_kwDODunzps8AAAABA5FcPQ | 8,164 | Lance: HF auth token dropped for private repos in streaming mode (broken `storage_options` lookup) | {
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"I can see the fix. Changing `split(\"://\", 0)` to `split(\"://\", 1)` and removing the `+ \"://\"` suffix. The key lookup should be `\"hf\"` not `\"hf://\"`. \nI'd like to submit a PR for this. Is this still open?",
"Well, I am already writing a PR for this, and it is just about to be submitted."
] | 2026-04-30 02:03:33 | 2026-04-30 15:38:43 | 2026-04-30 15:38:43 | null | CONTRIBUTOR | [] | null | null | null | null | ### Describe the bug
When `Lance._split_generators` receives `hf://` URIs - i.e. anywhere a `StreamingDownloadManager` is in play (`load_dataset(..., streaming=True)`, `get_dataset_split_names`, and the dataset-viewer worker) - the HF auth token is silently dropped before reaching `lance.dataset(...)`. Lance then atte... | {
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https://api.github.com/repos/huggingface/datasets/issues/8159 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8159/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8159/comments | https://api.github.com/repos/huggingface/datasets/issues/8159/events | https://github.com/huggingface/datasets/issues/8159 | 4,345,858,995 | I_kwDODunzps8AAAABAwiLsw | 8,159 | tests/conftest.py, tests/_test_patching.py, tests/fixtures/fsspec.py and other files are missing from the PYPI distribution | {
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"Hey, ran into something similar a while back when we were packaging a custom dataset loader for a client at v4.7.x. Turns out, PyPI distributions sometimes skip test files and fixtures like `conftest.py` since they're not critical for runtime—honestly, it's a packaging config thing in `setup.py` or `pyproject.toml... | 2026-04-28 20:01:05 | 2026-04-30 14:40:23 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
Version: 4.8.5
### Steps to reproduce the bug
n/a
### Expected behavior
n/a
### Environment info
n/a | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8149 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8149/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8149/comments | https://api.github.com/repos/huggingface/datasets/issues/8149/events | https://github.com/huggingface/datasets/issues/8149 | 4,316,149,021 | I_kwDODunzps8AAAABAUM1HQ | 8,149 | [Optimization] Prevent per-thread instantiation of Cloud Storage FileSystem during Data loading initialization | {
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"Is it open for contribution?",
"I think arbitrary filesystems would be recreated in every thread in any case, unlike HfFileSystem which has custom code to handle this.",
"I looked into this and I think the thread pool already shares one filesystem instance for GCS and S3, so the hoist would not change what it ... | 2026-04-23 13:09:19 | 2026-08-29 21:42:58 | null | null | NONE | [] | null | null | null | null | ### Feature request
Modify the dataset loading initialization, so that fsspec filesystem instances (like GCSFileSystem or S3FileSystem) are instantiated once in the main thread and explicitly passed down to the background threads.
By pre-instantiating the fs object in the main thread (where the directory cache from g... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8145 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8145/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8145/comments | https://api.github.com/repos/huggingface/datasets/issues/8145/events | https://github.com/huggingface/datasets/issues/8145 | 4,306,478,911 | I_kwDODunzps8AAAABAK-nPw | 8,145 | `.map()` on a streaming IterableDataset silently skips examples after load_state_dict | {
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"I think this line here is causing issues: \nhttps://github.com/huggingface/datasets/blob/2724a653e7582077be647d3fdfe8cd1fac27b85f/src/datasets/iterable_dataset.py#L2225\nIt ignored force_convert_to_python, so it consumed a full Arrow chunk.\nI think it can be fixed if you add `self.force_convert_to_python` to the ... | 2026-04-22 03:08:39 | 2026-04-27 14:03:28 | 2026-04-27 14:03:28 | null | NONE | [] | null | null | null | null | ### Describe the bug
After `ds.map(fn)` on a streaming IterableDataset, saving state_dict() and loading it into a fresh dataset does not resume at the correct position. It jumps forward by up to one Arrow read-chunk (~1000 rows).
### Steps to reproduce the bug
```python
from datasets import Dataset
ds1 = Dataset.fr... | {
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https://api.github.com/repos/huggingface/datasets/issues/8131 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8131/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8131/comments | https://api.github.com/repos/huggingface/datasets/issues/8131/events | https://github.com/huggingface/datasets/issues/8131 | 4,251,712,550 | I_kwDODunzps79a_wm | 8,131 | datasets.to_list: Behaviour change in version 4.7.0 with the addition of JSON type | {
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"I think we can go for the same approach as in https://github.com/huggingface/datasets/pull/8122 which decodes the JSON data (and supports JSON nested in other objects)\n\n(Or decide to decode all the features types, which I think could make sense, but this needs more careful handling so this should be discussed in... | 2026-04-13 06:06:43 | 2026-04-27 15:32:30 | 2026-04-27 15:32:30 | null | CONTRIBUTOR | [] | null | null | null | null | ### Describe the bug
There is a change in the approach to decoding JSON types, added in https://github.com/huggingface/datasets/commit/d560b58e1f1ec96591a95a1780ee118f5eea6c74. Since 4.7.0, to_list() returns raw JSON strings for columns stored as Json(), while direct access via __getitem__ returns dicts.
In versions... | {
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https://api.github.com/repos/huggingface/datasets/issues/8129 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8129/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8129/comments | https://api.github.com/repos/huggingface/datasets/issues/8129/events | https://github.com/huggingface/datasets/issues/8129 | 4,241,704,875 | I_kwDODunzps7800er | 8,129 | `load_dataset()` hangs when `hf_xet` is enabled | {
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"Apologies, seems to have been a stale cache issue. Nuking the datasets cache fixed the issue"
] | 2026-04-10 21:00:24 | 2026-04-10 21:07:56 | 2026-04-10 21:07:56 | null | MEMBER | [] | null | null | null | null | ### Describe the bug
Hi! I am getting a peculiar download issue on the latest versions of `datasets` and `hfh` where datasets hang indefinitely:
```py
from datasets import load_dataset
load_dataset("openai/gsm8k", "main", split="test")
```
Note that:
- streaming=True works.
- Direct Hub access works.
- Th... | {
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https://api.github.com/repos/huggingface/datasets/issues/8125 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8125/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8125/comments | https://api.github.com/repos/huggingface/datasets/issues/8125/events | https://github.com/huggingface/datasets/issues/8125 | 4,223,104,906 | I_kwDODunzps77t3eK | 8,125 | Feature request: being able to disable chmod for flat permission filesystems | {
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"Context: the operation fails on GCS FUSE mounts, and likely will on similar s3-backed file systems.\n\n File \"/home/user/.venv/lib/python3.12/site-packages/datasets/arrow_dataset.py\", line 3747, in _map_single ... | 2026-04-08 08:17:14 | 2026-07-08 16:35:43 | null | null | NONE | [] | null | null | null | null | ### Feature request
For flat permission file systems, `os.chmod` simply fails when trying to cache datasets - in some places such as: https://github.com/huggingface/datasets/blob/main/src/datasets/arrow_dataset.py#L4043-L4048 for arrow datasets.
This seems to be optional to obtained desired behavior as simply comment... | null | {
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