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https://api.github.com/repos/huggingface/datasets/issues/8418 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8418/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8418/comments | https://api.github.com/repos/huggingface/datasets/issues/8418/events | https://github.com/huggingface/datasets/pull/8418 | 5,100,259,233 | PR_kwDODunzps78hq0h | 8,418 | Fix DataFrame masking on ArrayXD columns with an integer value type | {
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} | Selecting rows with a boolean mask on a `DataFrame` that has an `Array2D`/`Array3D`/... column with an integer value type raises:
```python
import datasets, numpy as np
features = datasets.Features({"id": datasets.Value("int64"), "foo": datasets.Array2D(dtype="int32", shape=(2, 2))})
ds = datasets.Dataset.from_dict({... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8417 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8417/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8417/comments | https://api.github.com/repos/huggingface/datasets/issues/8417/events | https://github.com/huggingface/datasets/pull/8417 | 5,098,273,405 | PR_kwDODunzps78brrn | 8,417 | Shutdown ThreadPoolExecutor in CyclingMultiSourcesExamplesIterable | {
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https://api.github.com/repos/huggingface/datasets/issues/8416 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8416/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8416/comments | https://api.github.com/repos/huggingface/datasets/issues/8416/events | https://github.com/huggingface/datasets/pull/8416 | 5,097,697,849 | PR_kwDODunzps78Z-OF | 8,416 | Fix cryptic TypeError from ClassLabel.int2str on a string input | {
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} | `ClassLabel.int2str("1")` raises a cryptic `TypeError: '<=' not supported between instances of 'int' and 'str'` instead of a clear error.
`int2str` guards its input with `isinstance(values, Iterable)`, but a `str` is iterable, so a string is not wrapped as a single value; the code then iterates over the string's chara... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8415 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8415/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8415/comments | https://api.github.com/repos/huggingface/datasets/issues/8415/events | https://github.com/huggingface/datasets/pull/8415 | 5,091,230,885 | PR_kwDODunzps78Fm6_ | 8,415 | Add initial devcontainer configuration | {
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https://api.github.com/repos/huggingface/datasets/issues/8414 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8414/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8414/comments | https://api.github.com/repos/huggingface/datasets/issues/8414/events | https://github.com/huggingface/datasets/pull/8414 | 5,090,218,572 | PR_kwDODunzps78CWen | 8,414 | Fix offline simulation with huggingface_hub 1.27 | {
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"merged_at": "2026-08-10T19:31... | ## Summary
Surfaced by the `huggingface_hub` v1.27.0.rc0 RC test branch, where 6 tests in `tests/test_load.py` fail: [ci-test-huggingface-hub-1.27.0.rc0-release](https://github.com/huggingface/datasets/compare/main...ci-test-huggingface-hub-1.27.0.rc0-release).
They're all offline-simulation tests, and the failures a... | {
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https://api.github.com/repos/huggingface/datasets/issues/8412 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8412/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8412/comments | https://api.github.com/repos/huggingface/datasets/issues/8412/events | https://github.com/huggingface/datasets/pull/8412 | 5,084,411,761 | PR_kwDODunzps77v1RT | 8,412 | Fix IndexError on negative list indices for datasets with an indices mapping | {
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} | ## Summary
In `src/datasets/formatting/formatting.py`, `_query_table_with_indices_mapping`'s iterable branch passes each index directly to `indices.fast_slice(i, 1)`:
```python
return _query_table(table, [indices.fast_slice(i, 1).column(0)[0].as_py() for i in key])
```
`fast_slice` raises `IndexError("Offset must be... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8411 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8411/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8411/comments | https://api.github.com/repos/huggingface/datasets/issues/8411/events | https://github.com/huggingface/datasets/pull/8411 | 5,083,951,373 | PR_kwDODunzps77uYL- | 8,411 | Restore the _legacy_no_dict_keys_sorting branch in Pickler._batch_setitems | {
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} | ### Root cause
`Pickler._legacy_no_dict_keys_sorting` lost its only reader in #7817. That PR rewrote `_batch_setitems` to accept the argument Python 3.14 passes, and in the same hunk dropped the early return:
```diff
- def _batch_setitems(self, items):
- if self._legacy_no_dict_keys_sorting:
- re... | {
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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/8409 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8409/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8409/comments | https://api.github.com/repos/huggingface/datasets/issues/8409/events | https://github.com/huggingface/datasets/pull/8409 | 5,083,087,639 | PR_kwDODunzps77roh- | 8,409 | docs: fix broken audio link in mapstyle vs iterable guide | {
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} | The "map-style vs iterable" guide links the four loading guides on one line, but the `audio` link has a stray `]` inside its target (`./audio_load]`), which makes the Markdown link malformed and breaks it.
The three sibling links on the same line are correct (`./tabular_load`, `./nlp_load`, `./image_load`), and the ta... | {
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https://api.github.com/repos/huggingface/datasets/issues/8408 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8408/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8408/comments | https://api.github.com/repos/huggingface/datasets/issues/8408/events | https://github.com/huggingface/datasets/pull/8408 | 5,080,309,439 | PR_kwDODunzps77ilJy | 8,408 | Save the shuffle buffer content in the state dict so resuming is exact | {
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} | ## Overview
There are two problems when resuming a shuffled iterable dataset. The known one from the warning and the discussion in #7901 is that the shuffle buffer content isn't saved in the state dict so you lose roughly `buffer_size` examples every resume.
The second is you can get an example twice. The `Rebatc... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8407 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8407/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8407/comments | https://api.github.com/repos/huggingface/datasets/issues/8407/events | https://github.com/huggingface/datasets/pull/8407 | 5,077,929,707 | PR_kwDODunzps77a8Eg | 8,407 | Optimize PyArrow block shuffling with dynamic rebatched chunk interleaving | {
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"merged_at": "2026-09-07T14:03... | When streaming PyArrow datasets with shuffling enabled (`buffer_size > 0`), the `BufferShuffledExamplesIterable._iter_arrow()` method historically relied on a Python-level `list` to maintain the shuffle buffer, replacing elements one-by-one. In a multi-worker `DataLoader` environment, this per-row generator approach ca... | {
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https://api.github.com/repos/huggingface/datasets/issues/8406 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8406/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8406/comments | https://api.github.com/repos/huggingface/datasets/issues/8406/events | https://github.com/huggingface/datasets/pull/8406 | 5,076,886,721 | PR_kwDODunzps77XnBU | 8,406 | Preserve nanosecond precision in Python dataset construction | {
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} | ## What it is
Preserves exact nanosecond precision for pandas timestamps and timedeltas when users declare `Value("timestamp[ns]")` or `Value("duration[ns]")`.
Previously, `Dataset.from_dict`, `Dataset.from_list`, and `Dataset.map` reported a nanosecond feature while silently storing values truncated to microseconds.... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8405 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8405/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8405/comments | https://api.github.com/repos/huggingface/datasets/issues/8405/events | https://github.com/huggingface/datasets/pull/8405 | 5,074,026,078 | PR_kwDODunzps77OaCx | 8,405 | Match Dataset.map's on_mixed_types default in DatasetDict.map | {
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} | ### Problem
`Dataset.map` defaults `on_mixed_types` to `"use_json"`, so a mapped column with no
predefined schema becomes a `Json()` feature instead of failing type inference.
`DatasetDict.map` defaults the same parameter to `None` and forwards it to every split
unconditionally, so wrapping the splits in a `DatasetDic... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8404 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8404/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8404/comments | https://api.github.com/repos/huggingface/datasets/issues/8404/events | https://github.com/huggingface/datasets/pull/8404 | 5,070,831,360 | PR_kwDODunzps77EBK8 | 8,404 | Fix broken links in documentation | {
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} | Several documentation pages link to URLs that now return 404. This PR updates them to their current locations.
| File | Old (404) | New |
|------|-----------|-----|
| `object_detection.mdx` | `albumentations.ai/docs/examples/example_bboxes/` | `albumentations.ai/docs/examples/example-bboxes/` |
| `image_dataset.mdx` |... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8403 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8403/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8403/comments | https://api.github.com/repos/huggingface/datasets/issues/8403/events | https://github.com/huggingface/datasets/pull/8403 | 5,064,557,555 | PR_kwDODunzps76v2d3 | 8,403 | Fix pandas formatting when a decodable column is excluded by columns= | {
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} | The pandas decoder builds its transform map from all of `self.features`, but the frame has already been projected to the format's `columns`:
```python
ds.with_format("pandas", columns=["label"])[0]
# KeyError: "Label(s) ['image'] do not exist"
```
Scoped to pandas — `None`, `numpy`, `torch` and `arrow` all handle a c... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8402 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8402/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8402/comments | https://api.github.com/repos/huggingface/datasets/issues/8402/events | https://github.com/huggingface/datasets/pull/8402 | 5,064,555,950 | PR_kwDODunzps76v2Jl | 8,402 | Fix PolarsFeaturesDecoder.decode_row | {
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} | `PolarsFeaturesDecoder.decode_row` is a verbatim copy of the pandas implementation, but polars' `map_rows` takes a callable rather than a dict of column transforms:
```python
ds.with_format("polars")[0]
# TypeError: 'dict' object is not callable
```
So `with_format("polars")` is unusable on any dataset with an `Image... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8401 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8401/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8401/comments | https://api.github.com/repos/huggingface/datasets/issues/8401/events | https://github.com/huggingface/datasets/pull/8401 | 5,064,554,167 | PR_kwDODunzps76v1yt | 8,401 | Allow reading a split with no examples | {
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} | `make_file_instructions` skips every file whose take is 0, so `BaseReader.read` receives an empty file list and raises — which means one empty split makes the entire `DatasetDict` unloadable:
```python
load_dataset("json", data_files={"train": [...], "test": []})
# ValueError: Instruction "test" corresponds to no data... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8400 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8400/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8400/comments | https://api.github.com/repos/huggingface/datasets/issues/8400/events | https://github.com/huggingface/datasets/pull/8400 | 5,064,552,446 | PR_kwDODunzps76v1cs | 8,400 | Fix align_labels_with_mapping on a list of ClassLabel | {
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} | #7634 dropped `Sequence` from the `.features` import but left two references in `align_labels_with_mapping`, so every non-plain-`ClassLabel` column raises:
```python
ds.align_labels_with_mapping({"O": 0, "LOC": 1, "PER": 2}, "ner_tags")
# NameError: name 'Sequence' is not defined
```
That covers the token-classificat... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8399 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8399/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8399/comments | https://api.github.com/repos/huggingface/datasets/issues/8399/events | https://github.com/huggingface/datasets/pull/8399 | 5,064,550,459 | PR_kwDODunzps76v1Cv | 8,399 | Fix interleave_datasets with all_exhausted when a dataset is empty | {
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} | With `stopping_strategy="all_exhausted"` and no `probabilities`, the indices come from `np.arange(max(lengths)) % lengths`. A zero-length input makes that a modulo by zero, which yields index 0; after the source offset is added it is either out of range or a valid index into a *different* dataset:
```python
interleave... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8398 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8398/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8398/comments | https://api.github.com/repos/huggingface/datasets/issues/8398/events | https://github.com/huggingface/datasets/pull/8398 | 5,064,548,613 | PR_kwDODunzps76v0qb | 8,398 | Fix casting a sliced list array to a fixed size list | {
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} | `array_cast` and `cast_array_to_feature` build the child window for a fixed-size list as `array.values[array.offset * length : ...]`. But `.values` is the **unsliced** child array, so that arithmetic is only correct when every earlier row holds exactly `length` items. `Dataset.cast` slices into batches, so this fires w... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8397 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8397/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8397/comments | https://api.github.com/repos/huggingface/datasets/issues/8397/events | https://github.com/huggingface/datasets/pull/8397 | 5,064,546,506 | PR_kwDODunzps76v0P0 | 8,397 | Support empty input shards in ArrowBasedBuilder | {
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} | `ArrowBasedBuilder._prepare_split_single` assumes every input shard yields at least one table, so `original_shard_lengths` is indexed out of range when a shard yields nothing:
```python
load_dataset("json", data_files=["00.jsonl", "01.jsonl"]) # 00.jsonl is empty
# DatasetGenerationError
# cause: IndexError: list ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8396 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8396/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8396/comments | https://api.github.com/repos/huggingface/datasets/issues/8396/events | https://github.com/huggingface/datasets/pull/8396 | 5,063,822,443 | PR_kwDODunzps76teEZ | 8,396 | Fix malformed audio link in mapstyle vs iterable docs | {
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} | # What does this PR do?
Fixes a malformed link in `docs/source/about_mapstyle_vs_iterable.mdx`.
The audio guide link was written as `[audio](./audio_load])` (a stray closing parenthesis inside the link target), so it resolved to a non-existent path. This PR removes the stray `)` so the link points to the actual `audi... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8395 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8395/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8395/comments | https://api.github.com/repos/huggingface/datasets/issues/8395/events | https://github.com/huggingface/datasets/pull/8395 | 5,060,759,129 | PR_kwDODunzps76jdoX | 8,395 | Forward iter_arrow, is_typed and features from RepeatExamplesIterable | {
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"merged_at": "2026-08-31T09:38... | `RepeatExamplesIterable` never forwarded `iter_arrow`, `is_typed` or `features` to the iterable it wraps, so `.repeat()` stranded an Arrow-capable child behind a non-Arrow parent: iteration fell back to the per-example path and the dtypes were re-inferred from Python objects.
This copies the three-property block and t... | {
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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/8392 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8392/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8392/comments | https://api.github.com/repos/huggingface/datasets/issues/8392/events | https://github.com/huggingface/datasets/pull/8392 | 5,057,387,644 | PR_kwDODunzps76YcK8 | 8,392 | Add Spark Connect support for Spark datasets | {
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} | ## What does this PR do?
Adds Spark Connect support to `Dataset.from_spark` and `IterableDataset.from_spark` by replacing client-side RDD and `SparkContext` calls with DataFrame APIs supported by Spark Connect.
- discovers partitions with `spark_partition_id()` for streaming datasets
- runs the shared-cache probe wit... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8391 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8391/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8391/comments | https://api.github.com/repos/huggingface/datasets/issues/8391/events | https://github.com/huggingface/datasets/issues/8391 | 5,057,110,196 | I_kwDODunzps8AAAABLW1gtA | 8,391 | Nanosecond timestamps are silently truncated even when Value("timestamp[ns]") is requested | {
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`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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`Dataset.to_json()` serializes every temporal column as a bare epoch integer at a single fixed resolution (pandas' `date_unit="ms"` default), with no unit recorded in the output. Timestamps therefore do not survive a `to_json` → `from_json` round trip: they either come back silently wrong or raise... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8389 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8389/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8389/comments | https://api.github.com/repos/huggingface/datasets/issues/8389/events | https://github.com/huggingface/datasets/pull/8389 | 5,057,105,324 | PR_kwDODunzps76XicZ | 8,389 | Keep the id of List and LargeList features when visiting them | {
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} | `_visit()` and `_visit_with_path()` rebuild `List` / `LargeList` in order to recurse into the inner feature, but they don't carry `id` over, so it is silently reset to `None`. Every other feature type is passed through untouched and keeps its `id`.
`Features.__init__` runs `_visit()` on every column (to convert the le... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8388 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8388/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8388/comments | https://api.github.com/repos/huggingface/datasets/issues/8388/events | https://github.com/huggingface/datasets/pull/8388 | 5,057,105,180 | PR_kwDODunzps76Xiab | 8,388 | Allow to_iterable_dataset() on a dataset with no rows | {
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} | `Dataset.to_iterable_dataset()` defaults to `num_shards=1`, but the guard rejects any `num_shards > len(self)`, so it always raises on an empty dataset:
```python
>>> Dataset.from_dict({"a": []}).to_iterable_dataset()
ValueError: Unable to shard a dataset of size 0 into 1 shards (the number of shards exceeds the numbe... | null | {
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"merged_at": "2026-09-04T13:33... | Fix #8393
This PR significantly resolves a major CPU bottleneck in `IterableDataset` dataloading when `buffer_size` and `max_buffer_input_shards` are > 1.
**The Bug:**
Currently, `_BaseExamplesIterable.state_dict()` falls back to performing a full recursive `copy.deepcopy(self._state_dict)`.
In nested iterator... | {
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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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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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} | `save_to_disk` computes the number of shards from the estimated size and then clamps it to the number of rows (added in #7912):
```python
num_shards = min(len(self.data), num_shards)
```
For a dataset with no rows that gives `0` shards. No `.arrow` file is written, `state.json` gets an empty `"_data_files"`, and load... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8384 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8384/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8384/comments | https://api.github.com/repos/huggingface/datasets/issues/8384/events | https://github.com/huggingface/datasets/pull/8384 | 5,056,316,898 | PR_kwDODunzps76VB6Y | 8,384 | Fix IterableDataset.remove_columns when a single column name is passed | {
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} | `IterableDataset.remove_columns` accepts either a single column name or a list, but it only ever tests `col in column_names`. When a string is passed, that becomes a substring test, so any existing column whose name is contained in the one being removed is dropped from `info.features`:
```python
ds = Dataset.from_dict... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8383 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8383/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8383/comments | https://api.github.com/repos/huggingface/datasets/issues/8383/events | https://github.com/huggingface/datasets/pull/8383 | 5,056,314,094 | PR_kwDODunzps76VBUb | 8,383 | Apply the indices mapping in Dataset.unique | {
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} | `Dataset.unique` only takes the indices mapping into account when it has a different number of rows than the underlying table:
```python
if self._indices is not None and self._indices.num_rows != self._data.num_rows:
```
An indices mapping can also repeat some rows and drop others while keeping the same length. In th... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8382 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8382/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8382/comments | https://api.github.com/repos/huggingface/datasets/issues/8382/events | https://github.com/huggingface/datasets/pull/8382 | 5,053,067,850 | PR_kwDODunzps76KnWs | 8,382 | Fix IterableDataset.to_dict() and to_polars() returning an empty generator | {
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} | ### The bug
`IterableDataset.to_dict()` and `IterableDataset.to_polars()` each contain a bare `yield` in their `batched=True` branch. A bare `yield` anywhere in a function body makes the whole function a generator function, so both methods return a generator on every call, including the `batched=False` default. That g... | {
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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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`IterableDataset.to_dict()` and `IterableDataset.to_polars()` each have a bare `yield` in their `batched=True` branch, which makes the whole method a generator function. Calling either one the way its docstring shows returns a generator that yields nothing, and the value the `else` branch returns ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8380 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8380/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8380/comments | https://api.github.com/repos/huggingface/datasets/issues/8380/events | https://github.com/huggingface/datasets/pull/8380 | 5,035,622,149 | PR_kwDODunzps75T9aA | 8,380 | Speed up default Python row extraction | {
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} | ## Problem
`PythonArrowExtractor.extract_row` runs once per row on the default read path (every `for row in ds` and every `ds[i]`), and it does more work than it needs to:
```python
def extract_row(self, pa_table: pa.Table) -> dict:
return _unnest(pa_table.to_pydict())
```
`pa_table` here is always a one-row tab... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8378 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8378/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8378/comments | https://api.github.com/repos/huggingface/datasets/issues/8378/events | https://github.com/huggingface/datasets/pull/8378 | 5,029,934,393 | PR_kwDODunzps75Bwbf | 8,378 | feat: add return_file_name option to JSON loader | {
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} | ## What does this PR do?
Adds a `return_file_name` option to the JSON loader. When enabled, the resulting dataset includes a `file_name` column indicating the source file of each row.
## Motivation
When training is interrupted and resumed, it's useful to know which file each row came from so already-trained sh... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8377 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8377/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8377/comments | https://api.github.com/repos/huggingface/datasets/issues/8377/events | https://github.com/huggingface/datasets/pull/8377 | 5,027,590,302 | PR_kwDODunzps746K85 | 8,377 | Fix PandasArrayExtensionDtype._metadata: must be a tuple, not a string | {
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} | ## Summary
Fixes #8375 — `PandasArrayExtensionDtype._metadata` is a plain string instead of a tuple, causing `AttributeError: 'PandasArrayExtensionDtype' object has no attribute 'v'` whenever pandas compares two instances of this dtype (e.g. during a boolean-mask filter on a DataFrame with an array-feature column read ... | {
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} | ## What was wrong
`PandasArrayExtensionDtype` set `_metadata = "value_type"` (a string), but pandas expects a tuple of attribute names, e.g. `("value_type",)`.
When pandas compares dtypes (during things like `df[mask]`), it loops over `_metadata` and looks up each entry as an attribute. With a string, it iterates ove... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8375 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8375/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8375/comments | https://api.github.com/repos/huggingface/datasets/issues/8375/events | https://github.com/huggingface/datasets/issues/8375 | 5,025,604,085 | I_kwDODunzps8AAAABK4yh9Q | 8,375 | `PandasArrayExtensionDtype._metadata` should be a tuple, not a string | {
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There's a small typo in `PandasArrayExtensionDtype` (`src/datasets/features/features.py`):
```python
_metadata = "value_type"
```
Pandas expects `_metadata` to be a tuple of attribute names, like `("value_type",)`, not a plain string ([API documentation ref](https://pandas.pydata.org/docs/refer... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8374 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8374/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8374/comments | https://api.github.com/repos/huggingface/datasets/issues/8374/events | https://github.com/huggingface/datasets/pull/8374 | 5,020,005,801 | PR_kwDODunzps74hvA5 | 8,374 | feat: Qdrant Search Index | {
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## Description
This PR adds Qdrant as a vector search backend alongside FAISS and Elasticsearch. Associated documentation and tests are also included. The Qdrant client dependency is marked optional and installed on demand.
[Qdrant](https://qdrant.tech/) is an open-source vector search engine b... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8373 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8373/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8373/comments | https://api.github.com/repos/huggingface/datasets/issues/8373/events | https://github.com/huggingface/datasets/issues/8373 | 5,010,686,962 | I_kwDODunzps8AAAABKqkD8g | 8,373 | TypeError in _dill.py _batch_setitems with Python 3.14 | {
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When using `load_dataset` on Python 3.14, a `TypeError` is raised during the fingerprinting process inside the bundled `_dill.py`. This happens because Python 3.14 changed the signature of the internal C-level `_Pickler._batch_setitems` to require 3 arguments (`self, items, obj`), while `datasets/... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8372 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8372/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8372/comments | https://api.github.com/repos/huggingface/datasets/issues/8372/events | https://github.com/huggingface/datasets/pull/8372 | 5,001,648,344 | PR_kwDODunzps73mRCJ | 8,372 | docs: make repository structure guide prominent in quickstart (#5971) | {
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### Summary of Documentation Improvements:
- **\docs/source/create_dataset.mdx\**: Added a callout link in the introductory **Note** block pointing to the \
epository_structure\ guide so users creating a dataset can easily find guidance on organizing files, splits, and formats.
- **\docs/source/index.mdx\*... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8369 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8369/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8369/comments | https://api.github.com/repos/huggingface/datasets/issues/8369/events | https://github.com/huggingface/datasets/pull/8369 | 4,987,206,538 | PR_kwDODunzps723hA- | 8,369 | fix buckets on windows | {
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https://api.github.com/repos/huggingface/datasets/issues/8368 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8368/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8368/comments | https://api.github.com/repos/huggingface/datasets/issues/8368/events | https://github.com/huggingface/datasets/pull/8368 | 4,983,366,989 | PR_kwDODunzps72rBVf | 8,368 | Reject duplicate column names in Dataset.select_columns | {
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} | ### The problem
`Dataset.select_columns` checks that every requested column exists, but never checks that the request is free of duplicates:
```python
missing_columns = set(column_names) - set(self._data.column_names)
if missing_columns:
raise ValueError(...)
```
Passing the same name twice then produces a datas... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8367 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8367/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8367/comments | https://api.github.com/repos/huggingface/datasets/issues/8367/events | https://github.com/huggingface/datasets/pull/8367 | 4,979,649,594 | PR_kwDODunzps72foi_ | 8,367 | Fix DatasetDict.push_to_hub leaving removed splits in the dataset card | {
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"merged_at": "2026-07-28T10:01... | Pushing a `DatasetDict` that drops a split leaves the repo unloadable:
```python
DatasetDict({"train": ds_train, "test": ds_test}).push_to_hub("user/repo")
DatasetDict({"train": ds_train}).push_to_hub("user/repo") # "test" is gone
load_dataset("user/repo")
# ValueError: Couldn't infer the same data file format for ... | {
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https://api.github.com/repos/huggingface/datasets/issues/8366 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8366/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8366/comments | https://api.github.com/repos/huggingface/datasets/issues/8366/events | https://github.com/huggingface/datasets/pull/8366 | 4,975,982,224 | PR_kwDODunzps72UVce | 8,366 | Preserve nullable integer columns in to_json/to_csv/to_sql | {
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"merged_at": "2026-07-28T10:29... | ### What this fixes
`Dataset.to_json`, `to_csv` and `to_sql` write a nullable integer column as floating point rather than integers.
Fixes #8365.
### Root cause
The three writers build a pandas frame with a bare `batch.to_pandas()`:
- `io/json.py` `_batch_json`
- `io/csv.py` `_batch_csv`
- `io/sql.py` `_batch_sql`... | {
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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/8363 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8363/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8363/comments | https://api.github.com/repos/huggingface/datasets/issues/8363/events | https://github.com/huggingface/datasets/pull/8363 | 4,965,204,642 | PR_kwDODunzps71r4lE | 8,363 | Keep integers on the python read path for fixed-shape ArrayXD columns with nulls | {
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"merged_at": "2026-07-24T11:59... | ## What does this PR do?
Fixes #8362.
A fixed-shape `ArrayXD` column (`Array2D(shape=(1, 2), dtype="int64")`, and so on) that contains a `None` row is silently cast to float on the python read path: `to_dict()` / `to_pylist()` return every value as a float, and integers above 2**53 are altered, because an unrelated r... | {
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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/8361 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8361/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8361/comments | https://api.github.com/repos/huggingface/datasets/issues/8361/events | https://github.com/huggingface/datasets/pull/8361 | 4,965,086,196 | PR_kwDODunzps71rhT8 | 8,361 | Use Sequence instead of list for path_or_paths typing | {
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} | Fixes #5354
## What
Changes the type annotation of `path_or_paths` from `Union[PathLike, list[PathLike]]`
to `Union[PathLike, Sequence[PathLike]]` in:
- `Dataset.from_csv`
- `Dataset.from_json`
- `Dataset.from_parquet`
- `Dataset.from_text`
## Why
`list` is invariant in mypy, so passing a `List[Union[str, ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8360 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8360/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8360/comments | https://api.github.com/repos/huggingface/datasets/issues/8360/events | https://github.com/huggingface/datasets/pull/8360 | 4,964,933,053 | PR_kwDODunzps71rB6x | 8,360 | Rebatch arrow source before formatting in IterableDataset.filter to fix resume data loss | {
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"merged_at": "2026-07-24T12:06... | ## Root cause
`IterableDataset.filter()` wraps the Arrow source in `FormattedExamplesIterable` but, unlike `map()`, does not first wrap it in `RebatchedArrowExamplesIterable(batch_size=1)`. `FormattedExamplesIterable.__iter__` takes the Arrow branch and pulls a whole table from `ArrowExamplesIterable`, advancing `shar... | {
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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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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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"merged_at": "2026-07-24T11:54... | ### Bug
`CsvConfig.pd_read_csv_kwargs` silently drops `on_bad_lines` and `encoding_errors` on pandas 2.0, 2.1, and 2.2, so `load_dataset("csv", ..., on_bad_lines="skip")` (or `"warn"`, or a non-default `encoding_errors`) is ignored and a malformed row raises `ParserError` instead of being skipped.
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https://api.github.com/repos/huggingface/datasets/issues/8354 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8354/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8354/comments | https://api.github.com/repos/huggingface/datasets/issues/8354/events | https://github.com/huggingface/datasets/pull/8354 | 4,958,731,939 | PR_kwDODunzps71XABh | 8,354 | Fix bucket dataset card handling and push metadata accounting | {
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"merged_at": "2026-07-24T11:51... | Four fixes on the `buckets/...` read/write paths, hit by `push_to_hub` → `load_dataset`. The loader one crashes on any dataset with a README; the writer ones corrupt uploaded metadata.
## Key Changes
- **Bucket card loading** (`src/datasets/load.py`)**:** passed the card object instead of its `.data`, crashing on loa... | {
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} | Fixes #5806
Adds an optional `return_file_name` parameter to the JSON loader (load_dataset).
When set to True, a `file_name` column is added with the source file path,
useful for resuming training from checkpoints by skipping already-used shards. | {
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"merged_at": "2026-07-23T17:32... | Fixes #8351
## Root cause
`NumpyArrowExtractor._arrow_array_to_numpy` decides `dtype=object` with:
```python
if any(
(isinstance(x, np.ndarray) and (x.dtype == object or x.shape != array[0].shape))
or (isinstance(x, float) and np.isnan(x))
for x in array
):
```
The second clause was added in #3195 to ha... | {
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https://api.github.com/repos/huggingface/datasets/issues/8351 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8351/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8351/comments | https://api.github.com/repos/huggingface/datasets/issues/8351/events | https://github.com/huggingface/datasets/issues/8351 | 4,957,529,406 | I_kwDODunzps8AAAABJ33lPg | 8,351 | with_format('numpy') promotes flat float64/int columns with nulls to dtype=object (float32 stays numeric) | {
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`NumpyArrowExtractor._arrow_array_to_numpy` (used by `Dataset.with_format("numpy")`) promotes a flat, homogeneous numeric column to `dtype=object` when the column contains nulls, but only for `float64`/`int64` columns. A `float32` column is returned as a numeric array. The result is a silent wrong... | {
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https://api.github.com/repos/huggingface/datasets/issues/8350 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8350/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8350/comments | https://api.github.com/repos/huggingface/datasets/issues/8350/events | https://github.com/huggingface/datasets/pull/8350 | 4,946,198,947 | PR_kwDODunzps70uU75 | 8,350 | fix: validate Arrow IPC record batches | {
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"merged_at": "2026-07-22T13:26... | ## Summary
- fully validate each Arrow IPC record batch before converting it to a table
- reject malformed array offsets at the ingestion boundary
- add a safe regression fixture that is accepted by structural validation but rejected by full validation
`pa.Table.from_batches` does not perform full record batch valida... | {
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https://api.github.com/repos/huggingface/datasets/issues/8349 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8349/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8349/comments | https://api.github.com/repos/huggingface/datasets/issues/8349/events | https://github.com/huggingface/datasets/pull/8349 | 4,941,260,112 | PR_kwDODunzps70eZSn | 8,349 | Fix require_storage_embed recursing into require_storage_cast | {
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"merged_at": "2026-07-22T18:37... | ### Summary
`require_storage_embed` decides whether a (possibly nested) feature needs its data embedded into storage. For nested features it dispatches to the wrong helper and can report the wrong answer.
### Root cause
The recursive branches call `require_storage_cast` instead of recursing into `require_storage_emb... | {
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https://api.github.com/repos/huggingface/datasets/issues/8348 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8348/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8348/comments | https://api.github.com/repos/huggingface/datasets/issues/8348/events | https://github.com/huggingface/datasets/pull/8348 | 4,937,175,630 | PR_kwDODunzps70Q7yM | 8,348 | Optimize dataset loading by reusing metadata in `data_files.py` | {
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} | Fix #8197
This PR addresses the performance overhead during the data files pattern resolution phase by reusing the filesystem metadata that is already fetched by `fs.glob(..., detail=True)`. Previously, this metadata was discarded, requiring a subsequent and redundant `fs.info()` network call in `_get_single_origin_... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8347 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8347/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8347/comments | https://api.github.com/repos/huggingface/datasets/issues/8347/events | https://github.com/huggingface/datasets/pull/8347 | 4,935,412,363 | PR_kwDODunzps70LL0_ | 8,347 | fix: correct typos and improve exception handling patterns | {
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} | ## Summary
This PR fixes two types of code quality issues:
1. **Typo fixes**: Correct "simulatenous" to "simultaneous" in 2 places in iterable_dataset.py
2. **Exception handling**: Replace `raise error`/`raise e` with bare `raise` to preserve original stack trace (2 places)
## Changes
- `src/datasets/iterable_dataset... | {
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https://api.github.com/repos/huggingface/datasets/issues/8346 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8346/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8346/comments | https://api.github.com/repos/huggingface/datasets/issues/8346/events | https://github.com/huggingface/datasets/pull/8346 | 4,923,409,566 | PR_kwDODunzps7zkX2h | 8,346 | Fix casting a nullable LargeList to a different inner type | {
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"merged_at": "2026-07-22T17:29... | ## What's the bug
`_combine_list_array_offsets_with_mask` (in `src/datasets/table.py`) rebuilds a list array's offsets with the null bitmap applied, using an `int32` null-fill:
```python
offsets = array.offsets
if array.null_count > 0:
offsets = pa.concat_arrays(
[
pc.replace_with_mask(offsets... | {
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https://api.github.com/repos/huggingface/datasets/issues/8345 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8345/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8345/comments | https://api.github.com/repos/huggingface/datasets/issues/8345/events | https://github.com/huggingface/datasets/pull/8345 | 4,922,536,945 | PR_kwDODunzps7zhv4Z | 8,345 | Include archive path in WebDataset TAR read errors | {
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} | Fixes #7280
## What changed
WebDataset catches `tarfile.ReadError` around TAR processing and re-raises with `{tar_path!r}`. The original error remains on `__cause__`.
Covers failures while advancing the archive iterator and while reading a member payload (feature inference and example generation).
Origin is include... | null | {
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"merged_at": "2026-07-24T13:19... | ## What does this PR do?
`Dataset.to_pandas()` returned the raw Arrow storage strings for `Json()` feature columns, while every other in-memory export path decodes them. `to_dict()`, `to_list()`, `to_json()` and `with_format("pandas")` all apply `get_json_field_paths_from_feature` + `json_decode_field`; `to_pandas()` ... | {
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`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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"merged_at": "2026-07-22T18:35... | Fixes #8341
### Root cause
`HorizontallyConcatenatedMultiSourcesExamplesIterable._iter_arrow` accumulates the concatenated batch with:
```python
for name, col in zip(table.column_names, table.columns):
new_pa_table = pa_table.append_column(name, col)
```
`pa_table` here is the loop variable that leaked from the... | {
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The Arrow fast path of horizontal concatenation (`concatenate_datasets([...], axis=1)` consumed through `.with_format("arrow")`, or any Arrow/tensor consumer) drops the columns of the first source. The plain-Python path is correct; only the Arrow path diverges.
`HorizontallyConcatenatedMultiSourc... | {
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https://api.github.com/repos/huggingface/datasets/issues/8340 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8340/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8340/comments | https://api.github.com/repos/huggingface/datasets/issues/8340/events | https://github.com/huggingface/datasets/pull/8340 | 4,908,511,747 | PR_kwDODunzps7y1YDI | 8,340 | Make Dataset generic to allow specifying column types in typehints | {
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} | Closes #7719
## What does this PR do?
Makes `Dataset` optionally generic so its column types can be specified in a
typehint, similar to how `torch.utils.data.DataLoader[T]` works today (as
requested in the issue).
Before, the only way to document a dataset's columns was a docstring comment:
```python
from datasets ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8339 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8339/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8339/comments | https://api.github.com/repos/huggingface/datasets/issues/8339/events | https://github.com/huggingface/datasets/pull/8339 | 4,905,200,782 | PR_kwDODunzps7yqz1j | 8,339 | Make the dataset fingerprint independent of Arrow chunking | {
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"merged_at": "2026-07-22T17:28... | Fixes #8327.
As discussed in the issue, the OOM in `Dataset.from_pandas` comes from `generate_fingerprint`, not from the Arrow conversion. Fingerprinting hashes `dataset.__dict__`, and the underlying `pa.Table` (and the `InMemoryTable` wrapping it) pickles chunk-by-chunk, so the serialized size and the hashing cost ... | {
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https://api.github.com/repos/huggingface/datasets/issues/8338 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8338/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8338/comments | https://api.github.com/repos/huggingface/datasets/issues/8338/events | https://github.com/huggingface/datasets/pull/8338 | 4,898,613,660 | PR_kwDODunzps7yVTjf | 8,338 | Include file size in dataset fingerprint | {
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} | ### Motivation
Currently, the dataset cache fingerprints rely entirely on the `ETag`/`etag`/`mtime` metadata fetched during `fs.info()`. If a file's byte size changes on the remote end—and the remote backend fails to reliably update the ETag—the dataset fingerprint stays improperly static. This leads to insidious bugs... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8336 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8336/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8336/comments | https://api.github.com/repos/huggingface/datasets/issues/8336/events | https://github.com/huggingface/datasets/pull/8336 | 4,894,561,875 | PR_kwDODunzps7yIFxi | 8,336 | docs: add WebDataset example for multiple media files of the same type | {
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} | Fixes #7413
Adds a WebDataset example to the video dataset docs showing how multiple media files of the same type per sample are mapped. | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8335 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8335/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8335/comments | https://api.github.com/repos/huggingface/datasets/issues/8335/events | https://github.com/huggingface/datasets/pull/8335 | 4,892,837,423 | PR_kwDODunzps7yCdSS | 8,335 | Fix column loss in horizontal concatenation of arrow-backed IterableDatasets | {
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} | ## Bug
`concatenate_datasets([...], axis=1)` over arrow-backed `IterableDataset`s (e.g. from `.to_iterable_dataset()`) silently drops the **first** dataset's columns and duplicates the **last** dataset's column.
In `HorizontallyConcatenatedMultiSourcesExamplesIterable._iter_arrow`, the merged table is built by append... | {
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https://api.github.com/repos/huggingface/datasets/issues/8334 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8334/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8334/comments | https://api.github.com/repos/huggingface/datasets/issues/8334/events | https://github.com/huggingface/datasets/pull/8334 | 4,889,848,578 | PR_kwDODunzps7x4y28 | 8,334 | fix #5354 | {
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} | This PR updates the type hint for the `path_or_paths` argument in dataset loading methods (`from_parquet`, `from_csv`, `from_json`, and `from_text`) in `src/datasets/arrow_dataset.py`.
It replaces `list[PathLike]` with `Sequence[PathLike]`. Since `list` is invariant and `Sequence` is covariant, this prevents users f... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8333 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8333/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8333/comments | https://api.github.com/repos/huggingface/datasets/issues/8333/events | https://github.com/huggingface/datasets/pull/8333 | 4,884,858,928 | PR_kwDODunzps7xons8 | 8,333 | Support batched=True in Dataset.to_dict | {
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"merged_at": "2026-07-23T15:41... | ## What does this do?
`Dataset.to_dict(batch_size=..., batched=True)` silently ignores both arguments and always returns the full dict, even though its signature, docstring ("Set to `True` to return a generator that yields the dataset as batches"), and `-> Union[dict, Iterator[dict]]` return type all promise batching.... | {
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https://api.github.com/repos/huggingface/datasets/issues/8332 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8332/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8332/comments | https://api.github.com/repos/huggingface/datasets/issues/8332/events | https://github.com/huggingface/datasets/pull/8332 | 4,884,200,474 | PR_kwDODunzps7xmdbe | 8,332 | Raise on length mismatch in batched IterableDataset.map | {
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"merged_at": "2026-07-22T18:36... | ## Problem
`IterableDataset.map(fn, batched=True)` can silently drop or misalign rows when the mapping function changes the batch's row count but does not re-emit every retained input column.
In `MappedExamplesIterable._iter`, `prepare_outputs` merges the batch with `transformed_inputs = {**inputs, **processed_inputs... | {
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https://api.github.com/repos/huggingface/datasets/issues/8331 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8331/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8331/comments | https://api.github.com/repos/huggingface/datasets/issues/8331/events | https://github.com/huggingface/datasets/issues/8331 | 4,883,801,676 | I_kwDODunzps8AAAABIxjmTA | 8,331 | datasets-server.huggingface.co returning 503 on every endpoint (whole host down, not one route) | {
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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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Hello!
I want to report a bug on the datasets viewer and data studio pages. I have attempted to access it on various datasets from various devices and it will not let me view the dataset this way. I have tried restarting, login in and out but to no success. I use Hugging Face as a repository th... | {
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https://api.github.com/repos/huggingface/datasets/issues/8329 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8329/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8329/comments | https://api.github.com/repos/huggingface/datasets/issues/8329/events | https://github.com/huggingface/datasets/pull/8329 | 4,882,090,554 | PR_kwDODunzps7xfhUD | 8,329 | fix: replace list/List with Sequence in function parameter annotations | {
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} | Fixes #5354
Replaces `list[T]` with `Sequence[T]` in function parameter type annotations across `arrow_dataset.py`, `dataset_dict.py`, and `iterable_dataset.py`.
The built-in `list` is invariant in its type parameter, so passing a `List[str]` where `list[PathLike]` is expected causes a mypy error. `Sequence` is cova... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8328 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8328/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8328/comments | https://api.github.com/repos/huggingface/datasets/issues/8328/events | https://github.com/huggingface/datasets/issues/8328 | 4,881,665,580 | I_kwDODunzps8AAAABIvhOLA | 8,328 | Streaming datasets fail with 403 SignatureError: invalid key pair id from xet-bridge-us (Colab, latest libraries) | {
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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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`Dataset.from_pandas` memory usage scales with the chunk count of the backing Arrow array (around 1 MB per chunk).
`Dataset.shuffle()` followed by `to_pandas()` produces string columns with one chunk per row, so a 25k-row DataFrame holding ~32 MB of text allocates ~30 GB on the way back through ... | {
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https://api.github.com/repos/huggingface/datasets/issues/8326 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8326/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8326/comments | https://api.github.com/repos/huggingface/datasets/issues/8326/events | https://github.com/huggingface/datasets/pull/8326 | 4,871,148,453 | PR_kwDODunzps7w78O8 | 8,326 | docs: replace AutoFeatureExtractor with AutoImageProcessor in image preprocessing docs | {
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Replaces deprecated with the modern in the image preprocessing example in . | {
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https://api.github.com/repos/huggingface/datasets/issues/8325 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8325/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8325/comments | https://api.github.com/repos/huggingface/datasets/issues/8325/events | https://github.com/huggingface/datasets/pull/8325 | 4,869,263,834 | PR_kwDODunzps7w2Bma | 8,325 | Fix path traversal via metadata file_name in folder-based builders | {
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"merged_at": "2026-07-23T15:37... | Fix #8324
### Vulnerability
The folder-based builders (`imagefolder`, `audiofolder`, `videofolder`, `pdffolder`) resolve each metadata row's `file_name` by joining it to the metadata file's directory with no containment check. A malicious dataset can set `file_name` to a `../`-traversal path or an absolute path, caus... | {
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https://api.github.com/repos/huggingface/datasets/issues/8324 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8324/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8324/comments | https://api.github.com/repos/huggingface/datasets/issues/8324/events | https://github.com/huggingface/datasets/issues/8324 | 4,867,649,641 | I_kwDODunzps8AAAABIiJwaQ | 8,324 | Path traversal / arbitrary file read via the `file_name` metadata field in `*folder` dataset builders (no `trust_remote_code`) | {
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reported via email on 9 June 2026 - no acknowledgement or response:
Package: datasets (PyPI). Affected file: src/datasets/packaged_modules/folder_based_builder/folder_based_builder.py
Affected Versions: confirmed on 5.0.0 (PyPI) and HEAD 63e103e.
CVSS: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N... | {
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https://api.github.com/repos/huggingface/datasets/issues/8323 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8323/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8323/comments | https://api.github.com/repos/huggingface/datasets/issues/8323/events | https://github.com/huggingface/datasets/pull/8323 | 4,863,233,039 | PR_kwDODunzps7wku51 | 8,323 | Raise on Dataset.rename_columns name collision with an existing column | {
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} | ### What
`Dataset.rename_column` (singular) already rejects a new column name that collides with an
existing column:
```python
>>> ds.rename_column("foo", "bar") # "bar" already exists
ValueError: New column name bar already in the dataset. ...
```
`Dataset.rename_columns` (plural, dict-based) has no equivalent che... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8322 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8322/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8322/comments | https://api.github.com/repos/huggingface/datasets/issues/8322/events | https://github.com/huggingface/datasets/pull/8322 | 4,862,220,787 | PR_kwDODunzps7whovv | 8,322 | feat: use `ListLike` instead of `list` in path type hints | {
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} | ---
## Description
Changed type annotations from `list[PathLike]` to `ListLike[PathLike]` in
`from_csv`, `from_json`, `from_parquet`, and `from_text`.
`list` type hints are invariant — passing a `tuple` of paths fails mypy even
though it works fine at runtime. `ListLike` (defined in
`src/datasets/utils/typing.py`) ac... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8321 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8321/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8321/comments | https://api.github.com/repos/huggingface/datasets/issues/8321/events | https://github.com/huggingface/datasets/pull/8321 | 4,861,816,606 | PR_kwDODunzps7wgZfn | 8,321 | Fix: Resolve Sequence type hints and add from_jsonl alias (#5354) | {
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} | Fixes #5354
## Proposed Changes
- Updates features typing to use Sequence instead of List/Tuple in from_json and from_parquet parsing functions.
- Adds from_jsonl as an explicit wrapper to from_json for dataset creation, providing API symmetry with to_jsonl.
- Includes dedicated tests for the new from_jsonl alias in a... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8320 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8320/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8320/comments | https://api.github.com/repos/huggingface/datasets/issues/8320/events | https://github.com/huggingface/datasets/pull/8320 | 4,860,517,539 | PR_kwDODunzps7wcTTb | 8,320 | docs: add community health files (CHANGELOG.md) | {
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} | ## Summary
Adds missing open-source community health files:
- **CHANGELOG.md** — Keep a Changelog format, Semantic Versioning
- **README.md** — contributor profile link
### Why
These files help contributors understand how to participate and set community expectations.
---
*[Mukller](https://github.com/Mu... | {
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https://api.github.com/repos/huggingface/datasets/issues/8319 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8319/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8319/comments | https://api.github.com/repos/huggingface/datasets/issues/8319/events | https://github.com/huggingface/datasets/pull/8319 | 4,859,119,134 | PR_kwDODunzps7wX361 | 8,319 | Cast multi-dimensional numpy arrays when inferring IterableDataset features | {
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} | ## Summary
`IterableDataset._resolve_features()` crashes when a `map` function yields multi-dimensional numpy arrays:
```python
from datasets import Dataset
import numpy as np
ds = Dataset.from_dict({"a": [[[1, 2, 3], [1, 2, 3]]]}).to_iterable_dataset().map(lambda x: {"a": [np.array(x["a"])]})
ds._resolve_features()
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8318 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8318/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8318/comments | https://api.github.com/repos/huggingface/datasets/issues/8318/events | https://github.com/huggingface/datasets/pull/8318 | 4,852,071,515 | PR_kwDODunzps7wBLK6 | 8,318 | Vectorize interleave_datasets index generation (probabilities + first/all_exhausted) | {
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} | ## What
`_interleave_map_style_datasets` (used by `interleave_datasets` for map-style `Dataset`s) builds the output index list in a **pure-Python `for`-loop, one iteration per output row**, when `probabilities` is given:
```python
for source_idx in iter_random_indices():
if bool_strategy_func(is_exhausted):
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8317 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8317/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8317/comments | https://api.github.com/repos/huggingface/datasets/issues/8317/events | https://github.com/huggingface/datasets/pull/8317 | 4,851,996,655 | PR_kwDODunzps7wA7r8 | 8,317 | fix(json): produce valid JSON when lines=False spans multiple batches (#7037) | {
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} | ## Summary
Fixes #7037.
`Dataset.to_json(lines=False)` raised `NotImplementedError` (and before the guard was added, silently produced _invalid_ JSON) whenever `batch_size < num_rows` — i.e., the default case for any dataset larger than `DEFAULT_MAX_BATCH_SIZE` (1000 rows).
**Root cause:** Each batch was serialised ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8316 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8316/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8316/comments | https://api.github.com/repos/huggingface/datasets/issues/8316/events | https://github.com/huggingface/datasets/pull/8316 | 4,851,944,983 | PR_kwDODunzps7wAxOj | 8,316 | Preserve features after IterableDataset.add_column | {
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} | ## What
`IterableDataset.add_column` delegates to `map` but never propagates the schema. After the call, `dataset.features` is `None` even when the original dataset had a typed schema, silently breaking all downstream code that inspects features.
## Root cause
The implementation is a one-liner:
```python
return self... | null | {
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