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https://api.github.com/repos/huggingface/datasets/issues/8899
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https://github.com/huggingface/datasets/pull/8899
6,062,954,883
PR_kwDODunzps8AAAABLDweqg
8,899
fix(json): handle literal '/' in field names in mixed-type retry
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2026-10-27T16:03:22
2026-10-27T16:19:06
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Fixes #8898 ## Bug When loading JSONL with the default `on_mixed_types="use_json"`, a record with a literal key such as `"a/b"` is misinterpreted: the PyArrow error column name is split into the nested path `["a", "b"]`, even though the record has one literal key `"a/b"`. Re-encoding with that nested path leaves the o...
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6,054,912,822
I_kwDODunzps8AAAABaOajNg
8,898
JSON loading retries indefinitely when a mixed-type field name contains a slash
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2026-10-27T07:34:57
2026-10-27T07:34:57
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### Describe the bug On main `ef61228a5756dcebfff8ee245d89c72822fb6ae6` (`datasets` 5.2.0.dev0), loading a two-row JSONL file with a literal `a/b` field mixing a number and a string does not finish with the default `on_mixed_types="use_json"`. The same values under a plain field name load as `Json()`. A slash-contain...
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https://api.github.com/repos/huggingface/datasets/issues/8897
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6,030,725,997
PR_kwDODunzps8AAAABKpyD0A
8,897
Invalidate extraction caches when source archive metadata changes
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2026-10-25T23:43:53
2026-10-25T23:46:25
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Replacing a local `.tar.gz` archive at the same path can return old rows from `load_dataset("json", ...)`, even after the builder detects the changed source and creates a new dataset fingerprint. The extraction cache currently identifies the archive by pathname alone. This change includes the absolute path, file size,...
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6,028,268,797
PR_kwDODunzps8AAAABKn2lxw
8,896
Fix batched map on a dataset with an index when the function returns a table
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2026-10-25T19:16:31
2026-10-25T19:16:31
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`cast()` and `cast_column()` fail on any dataset that has a FAISS or Elasticsearch index attached: ```python import numpy as np from datasets import Dataset, Value ds = Dataset.from_dict({"id": list(range(5)), "v": np.eye(5, dtype=np.float32).tolist()}) ds.add_faiss_index("v") ds.cast_column("id", Value("int32")) # A...
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6,027,361,872
PR_kwDODunzps8AAAABKnJDsQ
8,895
Replace BioStructure/BioSequence with a biotite-backed AtomicStructure feature
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2026-10-25T17:42:56
2026-10-26T07:38:32
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This replaces the experimental `BioStructure` and `BioSequence` features with an `AtomicStructure` feature built on the [biotite](https://www.biotite-python.org) `AtomArray` data model. After this PR, nothing in `datasets` depends on Biopython. Opening as a draft to agree on the design before polishing. ## Why We be...
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6,025,528,770
PR_kwDODunzps8AAAABKluSSg
8,894
docs: propose evidence-first evolution intake and licensing gates
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2026-10-25T14:28:37
2026-10-25T14:28:37
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6,023,672,883
PR_kwDODunzps8AAAABKkSUqw
8,893
Fix xgetsize fallback to count bytes instead of decoded characters
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2026-10-25T10:59:13
2026-10-25T11:13:59
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When the filesystem cannot report a file size, `xgetsize` measures the file by reading it, but it opens it with `xopen(path)`, whose default mode is `"r"`. So the fallback decodes the file as text: binary files raise `UnicodeDecodeError`, and text files return a character count after newline translation instead of a by...
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6,018,163,293
PR_kwDODunzps8AAAABKf_y5A
8,892
Forward ignore_decode_attribute in nested require_decoding calls
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2026-10-24T22:12:46
2026-10-24T22:12:46
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## What `require_decoding(feature, ignore_decode_attribute=...)` drops `ignore_decode_attribute` when it recurses: the `dict`, `list`/`tuple`, `LargeList` and `List` branches call `require_decoding(f)` without forwarding the flag. Only a top-level feature honours it. `ignore_decode_attribute=True` is passed by `Datas...
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6,014,808,547
PR_kwDODunzps8AAAABKdZ_aw
8,891
Don't infer the Harbor builder from unrelated .md and .toml files
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2026-10-24T15:58:23
2026-10-24T15:58:23
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Since #8729, `.md` and `.toml` are allowed data file extensions. Every Markdown or TOML file matched by the default `**` pattern now counts as a vote for `harbor` when the builder is inferred. So a directory with `data.jsonl`, `LICENSE.md` and `CHANGELOG.md` is inferred as Harbor, and so is `data.csv` with `pyproject.t...
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6,014,230,128
PR_kwDODunzps8AAAABKc91DA
8,890
keep nullable integers intact in to_pandas
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2026-10-24T14:54:55
2026-10-24T14:54:55
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an int64 column with a null was converted to float64. float64 cannot hold every int64, so `2**62 + 1` came back as a different number. `to_pandas` and the pandas formatter now keep those nulls as missing values, the same way `to_csv` / `to_json` / `to_sql` already do. a column with no nulls stays int64. checked locall...
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8,889
Keep row validity and payloads in fixed-shape ArrayXD pandas round trips
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[ "CI note: this is the first PR from my fork, so the `CI` and `Build PR Documentation` workflows are sitting in `action_required` until someone approves the first run. Everything in the description is verified locally on the issue's pinned versions (pandas 3.1.0, pyarrow 26.0.0, numpy 2.5.4): the five new test cases...
2026-10-24T01:50:23
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Fixes #8888 `PandasArrayExtensionDtype.__from_arrow__` materialized every fixed-shape ArrayXD column through `ArrayExtensionArray.to_numpy`, which pads the null rows with NaN and promotes the whole column to float64. Two consequences at the pandas boundary: the Arrow row validity was gone (a null row and a legitimate ...
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Fixed-shape ArrayXD pandas round trips lose row nulls and integer precision
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[ "The repro holds up, and the `PandasArrayExtensionDtype.__from_arrow__` going through `ArrayExtensionArray.to_numpy` explains both symptoms cleanly: NaN insertion kills the row-validity distinction and the float64 promotion loses the exact integer payloads. I am taking a pass at the masked-representation path, so t...
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### Describe the bug `Dataset.from_pandas(ds.to_pandas())` loses missing rows in a fixed-shape ArrayXD column. A null row becomes a valid all-NaN array. A legitimate all-NaN array must remain distinct from that missing row. ### Steps to reproduce the bug Reproduced on main `ef61228a5756dcebfff8ee245d89c72822fb6ae6` ...
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Preserve selected streaming rows across concatenated epochs
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2026-10-23T16:51:29
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After concatenating a streaming dataset selected with `take(4)`, `set_epoch(1)` can change its rows from `[0, 1, 2, 3]` to `[0, 3, 6, 9]`. The same problem affects `skip()` and explicit shuffling after concatenation. Propagate shuffling through vertical concatenation's shard wrappers so the existing skip/take ordering...
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Fix SQLAlchemy query cache collisions for bound parameters
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[ "Hi @lhoestq, I saw that #8881 also addresses #8877. I reported and assigned myself the issue before either PR was opened. My PR also covers explicit parameter overrides, callable parameters, and binary values, with regression tests and validation across different SQLAlchemy versions. Could you take a look and let ...
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## What does this PR do? Fixes #8877 `Dataset.from_sql()` can silently return incorrect cached rows when two SQLAlchemy queries differ only in their bound parameter values. The existing cache identity includes the compiled SQL placeholders but not their values, causing queries with different `WHERE`, `LIMIT/OFFSET`,...
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Close Parquet export writers with a context manager
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2026-10-23T10:20:18
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Fixes #8743. Use `pyarrow.parquet.ParquetWriter` as a context manager so query, batch-write, and metadata failures finalize the writer before the enclosing path-owned file handle closes. Caller-provided binary streams remain open, and the successful byte-count result is unchanged. This is an alternative to #8744 and ...
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Skip the spark tests when pyspark is not installed
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2026-10-23T09:38:47
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Running the test suite without the optional `pyspark` dependency aborts collection instead of skipping the spark tests: ``` ERROR tests/packaged_modules/test_spark.py ModuleNotFoundError: No module named 'pyspark' ``` `tests/packaged_modules/test_spark.py` imports `pyspark` at module level, so collection fails before...
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Reject duplicate dataset card configuration names
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2026-10-23T09:36:50
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Dataset cards with two entries using the same `config_name` silently keep only the last entry when `MetadataConfigs.from_dataset_card_data` builds its dictionary. For example, two `custom` entries pointing at different CSV files cause `load_dataset(..., name="custom")` to load only the second file without warning. R...
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include bound SQL values in the dataset cache key
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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_8881). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.", "hi ! can you run `make style` to fix code formatting ? thx !", "formatted the compile...
2026-10-23T04:55:34
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fixes #8877 `str(sql.compile())` drops the bound values, so two queries that differ only by a WHERE, LIMIT, or IN parameter reused one cache entry. the key now inlines those binds. @lhoestq
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Fix save_to_disk sending the whole table to every worker for in-memory datasets
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2026-10-23T04:39:59
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Fixes #7290 `save_to_disk(num_proc=...)` on an in-memory dataset sends the whole table to every worker, once per shard, instead of just that shard's rows. So it is much slower and uses much more memory than it should. ```python import pickle from datasets import Dataset ds = Dataset.from_dict({"text": ["some text " ...
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Fix pickle RCE in pandas dataset builder (CVE-2026-57845)
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2026-10-23T01:26:22
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Addresses **CVE-2026-57845**, arbitrary code execution through pickle deserialization in the pandas dataset builder. Replaces `Pandas._generate_tables()` with an unconditional migration error before file opening or unpickling. Builder construction and compatible prepared Arrow cache reuse remain supported. File resolu...
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Fix decoding a streamed PDF dataset twice after shuffle, take or filter
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2026-10-22T22:01:09
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Since #8791 (not in a release yet), a streamed PDF folder from the Hub is decoded in threads by default. Calling `.decode()` again after another step, such as `.shuffle()`, `.take()` or `.filter()`, decodes each example a second time, and `Pdf.decode_example` fails on the already decoded `pdfplumber` PDF: ```python fr...
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Dataset.from_sql caches different SQLAlchemy queries under the same key when bound values change
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2026-10-22T20:53:46
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### Describe the bug When `Dataset.from_sql()` receives a SQLAlchemy `Selectable`, queries with different parameter values can use the same cache key. If the first query is cached, the next query can return its rows instead of the correct results, without warning. This affects `WHERE` conditions, `LIMIT`, and expandin...
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Faster IterableDataset iteration
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2026-10-22T20:41:03
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Fixes #6133 When iterating an `IterableDataset` example by example, rows go through `RebatchedArrowExamplesIterable` with `batch_size=1`, so each row ends up as a 1-row Arrow table that gets cast and formatted on its own. That per-row overhead is why `for ex in ds` is slow, including after `to_iterable_dataset()`. Th...
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8,875
Honor table policies when exporting empty datasets to SQL
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2026-10-22T16:20:36
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Exporting an empty dataset skips the SQL writer entirely. As a result, `if_exists="replace"` returns zero while leaving old rows in the table, `if_exists="fail"` accepts an existing table, and exporting a new empty split leaves its table missing. Write one empty batch through the existing pandas conversion so the requ...
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Preserve unrestricted filters when extending data-file patterns
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2026-10-22T12:27:16
2026-10-22T12:27:23
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## Summary Preserve unrestricted extension filters when calling `DataFilesPatternsList.filter_extensions`. `DataFilesPatternsList.from_patterns(["*"])` stores `allowed_extensions=[None]`, where `None` means unrestricted. Calling `.filter_extensions([".json"])` currently attempts `None + [".json"]` and raises `TypeErr...
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Fix doubled words in load.py docstring and process docs
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2026-10-22T10:10:32
2026-10-22T10:10:32
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## What Removed a duplicated 'a' in a load.py docstring ('of a a Storage Bucket') and a duplicated 'to' in docs/source/process.mdx ('save it to to push_to_hub'). ## Why A small, objectively-verifiable improvement (typo) found during a daily open-source maintenance pass (2026-10-22). ## How verified Found both with a ...
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Preserve grouped streaming batches when resuming checkpoints
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2026-10-22T07:55:50
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`IterableDataset.batch(by_column=...)` can silently drop a complete group after an ordinary checkpoint restore. For example, group IDs 0โ€“8 into triples, consume the first two groups, then save and reload state: uninterrupted iteration returns `[6, 7, 8]`, while current main returns nothing. The grouping callback buffe...
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Honor batch_size when exporting an IterableDataset to Parquet
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2026-10-22T06:41:18
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`IterableDataset.to_parquet(..., batch_size=2)` currently ignores the requested batch size: exporting seven rows creates a single seven-row Parquet row group, while `Dataset.to_parquet` creates row groups of `[2, 2, 2, 1]`. This prevents callers from controlling the row groups used when exporting streaming training dat...
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Avoid copying WebDataset binary payloads during schema inference
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2026-10-22T04:04:04
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WebDataset schema inference currently builds Arrow tables containing the complete binary payloads from its first examples. A single value above Arrow's binary offset limit raises `ArrowCapacityError`, even with `streaming=True`. Use empty byte strings only in the temporary examples passed to schema inference. This pre...
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Unescape doubled quotes in GenBank qualifier values
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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_8869). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update." ]
2026-10-22T02:52:20
2026-10-22T10:43:33
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The GenBank loader keeps the `""` escape inside quoted qualifier values. A wrapped line that ends in an escaped `""` also closes the value early, and a stray `"` lands at the end. The INSDC feature table (section 3.3.3.1) escapes each quotation mark in free text by doubling it. Its own example is `/note="This is an exa...
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Raise on duplicate column names in Dataset.select_columns
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2026-10-21T23:50:02
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`Dataset.select_columns` accepts a list with repeated names and returns a dataset that looks fine but breaks on first use: ```python from datasets import Dataset ds = Dataset.from_dict({"a": [1, 2], "b": [3, 4]}) sel = ds.select_columns(["a", "a"]) print(sel.column_names, len(sel.features)) # ['a', 'a'] 1 sel[0] ...
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Preserve rows when concatenating pandas ArrayXD batches
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[ "Hi! Following up on this fix when you have a chance to review. It preserves row counts and shapes when concatenating pandas ArrayXD batches, with regression coverage for dense, ragged, empty, and null-containing inputs. The reproduction and local test results are in the description. Happy to adjust the implementat...
2026-10-20T15:29:02
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`PandasArrayExtensionArray._concat_same_type` can turn whole input batches into individual rows. For example, concatenating dense batches with 2 and 1 rows returns 2 rows instead of 3, with an extra batch dimension inside each row. A single input chunk is also wrapped as one row. Equally sized object-backed chunks take...
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Fix forwarding custom User-Agent to fsspec HTTP requests
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## Summary Related to #6046. Forward the configured DownloadConfig.user_agent to fsspec HTTP/HTTPS requests. - Reuse the existing get_datasets_user_agent() helper. - Preserve explicitly configured User-Agent headers. - Keep existing HTTP proxy handling unchanged. - Add regression tests for default and custom header ...
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Fix concatenation cache fingerprints for different axes
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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_8865). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update." ]
2026-10-20T09:22:24
2026-10-25T13:42:17
2026-10-23T12:22:31
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## What does this PR do? Fixes #8859 Concatenating the same datasets using different axes can produce the same fingerprint. As a result, `map()` can reuse cached results from the wrong concatenation without warning. This change adds `axis` to the existing fingerprint calculation and adds two regression tests for bo...
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Keep threaded decoding reconfigurable after IterableDataset.shard
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2026-10-20T09:17:53
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Since #8791, `load_dataset(..., streaming=True)` decodes media datasets from the Hub in worker threads, and `IterableDataset.decode()` replaces that threaded step when it finds it as the last step of the dataset (`MappedExamplesIterable.decoding_pool`). `MappedExamplesIterable.shard_data_sources`, `shuffle_data_source...
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IterableDataset.decode(False) has no effect after shard() on a streamed media dataset
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### Describe the bug Since #8791, `load_dataset(..., streaming=True)` decodes media datasets from the Hub in worker threads by default. `decode()` replaces that threaded decoding step when it is the last step of the dataset, but `shard()` loses track of it. After `ds.shard(...)`, `ds.decode(False)` keeps yielding deco...
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PR_kwDODunzps8AAAABJg1jBQ
8,862
Close owned event loops and pending work in streaming async maps
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2026-10-20T08:52:50
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When an async-mapped `IterableDataset` creates an event loop for iteration, it retains that loop without closing it. Repeated epochs therefore leak file descriptors. Early iterator closure also leaves pending callbacks without completing their asynchronous cleanup. Track loop ownership per iterator, settle that iterat...
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Embed nested undecoded media in Hub Parquet shards
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2026-10-20T08:47:21
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`Dataset.push_to_hub()` can upload path-only records for images or audio nested inside a struct, `List`, or `LargeList` when `decode=False`, even with `embed_external_files=True`. The resulting Parquet shards refer to files on the uploader's machine instead of containing their bytes. Use the existing recursive `requir...
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Fix HDF5 compound array field inference
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HDF5 compound records can contain numeric array fields, such as `np.dtype([("id", "int32"), ("values", "float32", (3,))])`. Loading this valid file currently raises `TypeError: 'NoneType' object is not iterable` during schema inference: the subarray dtype is mistaken for another compound record. Keep the field dimensi...
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