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https://api.github.com/repos/huggingface/datasets/issues/8122 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8122/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8122/comments | https://api.github.com/repos/huggingface/datasets/issues/8122/events | https://github.com/huggingface/datasets/pull/8122 | 4,206,043,598 | PR_kwDODunzps7P_9lo | 8,122 | fix: decode Json() values with PandasFeaturesDecoder before calling DataFrame.to_json() (#8116) | {
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} | # Summary
fixes (https://github.com/huggingface/datasets/issues/8116)
Basically the issue is that if a dataset column uses Json() as a feature type, calling to_json() on that dataset causes a raw json escaped string to be exported, without decoding it first.
### root cause
`to_json` exports feature values in their... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8121 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8121/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8121/comments | https://api.github.com/repos/huggingface/datasets/issues/8121/events | https://github.com/huggingface/datasets/pull/8121 | 4,204,840,969 | PR_kwDODunzps7P9H7w | 8,121 | Fix Audio.cast_storage for CSV-loaded large_string columns | {
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} | ## Summary
This PR fixes `Audio.cast_storage()` so that audio path columns loaded as `large_string` can be cast to `Audio()` correctly.
## Motivation
`Dataset.from_dict({"audio": [...]})` produces a `string` column and `cast_column("audio", Audio())` works, but `load_dataset("csv", ...)` produces a `large_string` ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8120 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8120/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8120/comments | https://api.github.com/repos/huggingface/datasets/issues/8120/events | https://github.com/huggingface/datasets/issues/8120 | 4,201,197,701 | I_kwDODunzps76aTCF | 8,120 | Patch fields truncated — missing trailing newlines | {
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Affected instances (confirmed): atlanhq_atlan-python... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8116 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8116/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8116/comments | https://api.github.com/repos/huggingface/datasets/issues/8116/events | https://github.com/huggingface/datasets/issues/8116 | 4,197,189,620 | I_kwDODunzps76LAf0 | 8,116 | `to_json()` serializes `Json()` feature as escaped string instead of native JSON object | {
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"Hi! I ran into this issue as well, I think the root cause was that under `_batch_json()` of `JsonDatasetWriter` it was directly exporting the encoded string without decoding it first. I will try to add a PR with a small fix. ",
"#self-assign"
] | 2026-04-02T21:59:15 | 2026-04-04T23:42:25 | null | null | CONTRIBUTOR | null | null | null | null | ### Describe the bug
When a dataset column uses the `Json()` feature type, calling `to_json()` writes the value as an escaped JSON string (e.g., `"{\"cat_a\":1,\"cat_b\":2}"`) instead of a native JSON object (e.g., `{"cat_a":1,"cat_b":2}`).
This causes two problems:
1. The output JSON file is not interoperable with ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8115 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8115/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8115/comments | https://api.github.com/repos/huggingface/datasets/issues/8115/events | https://github.com/huggingface/datasets/pull/8115 | 4,195,114,404 | PR_kwDODunzps7PldtS | 8,115 | fix: preserve features in IterableDataset.add_column (fixes #5752) | {
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} | ## Summary
Fixes #5752.
`IterableDataset.add_column()` lost the dataset's feature schema on every call because it delegated to `map()` without passing the `features` argument. `map()` unconditionally writes `info.features = features`, so the default `None` silently overwrote the existing schema.
**Root cause** (`ite... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8114 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8114/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8114/comments | https://api.github.com/repos/huggingface/datasets/issues/8114/events | https://github.com/huggingface/datasets/pull/8114 | 4,193,245,944 | PR_kwDODunzps7PgMNx | 8,114 | 🔒 Pin GitHub Actions to commit SHAs | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_8114). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2026-04-02T09:28:58 | 2026-04-02T12:22:58 | null | null | NONE | null | null | false | {
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} | ## 🔒 Pin GitHub Actions to commit SHAs
This PR pins all GitHub Actions to their exact commit SHA instead of mutable tags or branch names.
**Why?**
Pinning to a SHA prevents supply chain attacks where a tag (e.g. `v4`) could be moved to point to malicious code.
### Changes
| Workflow | Action | Avant | Après | SHA ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8113 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8113/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8113/comments | https://api.github.com/repos/huggingface/datasets/issues/8113/events | https://github.com/huggingface/datasets/pull/8113 | 4,188,441,968 | PR_kwDODunzps7PUfD_ | 8,113 | Parse agent traces | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_8113). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2026-04-01T16:56:08 | 2026-04-01T17:33:06 | null | null | MEMBER | null | null | false | {
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} | Supports claude_code, codex and pi
JSON Lines files are parsed so one file = one row
The resulting row has three fields: harness, session_id, traces, and file_name with features:
```python
AGENT_TRACES_FEATURES = datasets.Features(
{
"harness": datasets.Value("string"),
"session_id": da... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8112 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8112/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8112/comments | https://api.github.com/repos/huggingface/datasets/issues/8112/events | https://github.com/huggingface/datasets/pull/8112 | 4,185,517,824 | PR_kwDODunzps7PMvUa | 8,112 | fix: replace List with Sequence in type hints for public API functions (#5354) | {
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"Updated — public Dataset.map(), Dataset.filter(), IterableDataset.map() and IterableDataset.filter() signatures now also use Sequence[str] consistently. Thanks for the pointer.",
"Note: PR #8067 by @biefan also addresses path_or_paths in arrow_dataset.py. This PR covers a broader scope across 4 files and additio... | 2026-04-01T09:31:28 | 2026-04-02T06:47:20 | null | null | NONE | null | null | false | {
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} | ## Summary
Fixes #5354
Replaces `list[X]` with `Sequence[X]` in function argument type annotations
across the public API. `List` is invariant while `Sequence` is covariant,
which means passing a `list` to a parameter typed as `List` causes mypy errors,
even though lists are valid sequences.
## Changes
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8111 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8111/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8111/comments | https://api.github.com/repos/huggingface/datasets/issues/8111/events | https://github.com/huggingface/datasets/pull/8111 | 4,180,579,790 | PR_kwDODunzps7PAKZk | 8,111 | add sample_by="document" support for jsonl files | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_8111). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"would the auto-detection of agent harness (claude vs. codex vs. opencode etc) and other... | 2026-03-31T16:23:57 | 2026-04-01T16:57:00 | 2026-04-01T16:56:59 | null | NONE | null | null | false | {
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} | With more agentic traces (_ie Claude Code / Codex / Pi etc_) being published to the Hub as JSONL files, it would be nice to easily support loading / viewing them in Dataset Viewer.
Datasets like https://huggingface.co/datasets/cfahlgren1/agent-sessions contain one JSONL file per session. Without sample_by, each lin... | {
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https://api.github.com/repos/huggingface/datasets/issues/8110 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8110/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8110/comments | https://api.github.com/repos/huggingface/datasets/issues/8110/events | https://github.com/huggingface/datasets/issues/8110 | 4,176,918,326 | I_kwDODunzps749rc2 | 8,110 | `set_format` resets features | {
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"couldn't replicate with: \n\n``` bash\nPlatform: macos\npython: 3.10.9\ndatasets: 4.8.4\nhuggingface_hub: 0.36.2\npyarrow: 23.0.1\npandas: 2.3.3\nfsspec: 2026.2.0\n\n```\n\n\n``` python\nimport datasets\nfrom datasets import Array2D, Dataset\nimport numpy as np\n\n# Create a dataset with Array2D feature\ndata = {\... | 2026-03-31T07:59:32 | 2026-04-06T03:16:19 | null | null | NONE | null | null | null | null | ### Describe the bug
Calling `dataset.set_format('...')` resets the informative features such as `Array2D` etc. back into `List(List(Value))` and so on.
### Steps to reproduce the bug
```py
>>> dataset.features
{'lld': Array2D(shape=(None, 26), dtype='float32')}
>>> dataset.set_format('torch')
>>> dataset.features
... | null | {
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## Changes
### README.md
- Fix duplicate word: "frameworks frameworks" → "frameworks"
- Standardize brand ... | null | {
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Closes #7699 | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8106 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8106/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8106/comments | https://api.github.com/repos/huggingface/datasets/issues/8106/events | https://github.com/huggingface/datasets/pull/8106 | 4,141,989,496 | PR_kwDODunzps7Nowf0 | 8,106 | Fix: Add validation to prevent duplicate kwargs in load_dataset_builder | {
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Previously, passing identical keys caused a confusing Python `TypeError` during unpacking. This fix intercepts the duplicates early and raises a clear `ValueError` spec... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8086 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8086/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8086/comments | https://api.github.com/repos/huggingface/datasets/issues/8086/events | https://github.com/huggingface/datasets/pull/8086 | 4,120,969,434 | PR_kwDODunzps7Mr_MP | 8,086 | fix regression when loading JSON with one file = one object | {
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https://api.github.com/repos/huggingface/datasets/issues/8085 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8085/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8085/comments | https://api.github.com/repos/huggingface/datasets/issues/8085/events | https://github.com/huggingface/datasets/issues/8085 | 4,120,101,624 | I_kwDODunzps71k8L4 | 8,085 | ImportError: cannot import name 'VideoReader' from 'torchvision.io' when using datasets with torch format | {
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"`datasets` 4.8.4 is out and includes a fix :)"
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For PyTorch 2.11 + torchvision 0.26.0 when using the datasets library and setting the format to "torch", an ImportError occurs because the datasets library attempts to import VideoReader from torchvision.io, but this object is not found in the installed torchvision version.
**Error message**:
> ... | {
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https://api.github.com/repos/huggingface/datasets/issues/8084 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8084/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8084/comments | https://api.github.com/repos/huggingface/datasets/issues/8084/events | https://github.com/huggingface/datasets/pull/8084 | 4,113,045,931 | PR_kwDODunzps7MYMNy | 8,084 | Add reshard support for JSON Lines and CSV file formats | {
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"@lhoestq , hi, lhoestq, could you please help review this PR? Thanks!",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_8084). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"> Cool ! I l... | 2026-03-21T16:56:42 | 2026-03-29T07:47:03 | null | null | NONE | null | null | false | {
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} | This PR extends the IterableDataset.reshard() functionality to support JSON Lines and CSV file formats, building on the foundation laid in #7992.
### Summary
- JSON Lines : Resharding splits files by line boundaries (only when num_shards is specified)
- CSV : Resharding splits files by line boundaries (only when n... | null | {
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"merged_at": "2026-03-19T17:29... | fix https://github.com/huggingface/datasets/issues/8079
I also took the opportunity to improve the arrow logic to not have to do an unnecessary python -> arrow -> python in FormattedExamplesIterable when streaming webdatasets | {
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"merged_at": "2026-03-19T14:22... | Fix docstring of `Json.cast_storage`.
This PR makes a minor change to the `cast_storage` method in the `Json` feature, updating its return type and documentation to better reflect its intended functionality.
* Updated the `cast_storage` method to return a `pa.JsonArray` instead of a `pa.Int64Array`, and revised t... | {
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As titled
### Steps to reproduce the bug
Running following Python script:
```
"""
Reproducer for HuggingFace datasets 4.x bug:
StepExamplesIterable._iter_arrow drops samples for non-zero ranks
when Arrow batches have size 1 (e.g. single-shard streaming WebDataset).
Bug: split_dataset_by_node w... | {
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"I also have been stuck in same problem ",
"This should be fixed, thanks for reporting ! let us know if you ever encounter other issues in the future",
"It's okay. \n\nGood job, thanks your support! "
] | 2026-03-17T06:44:01 | 2026-03-30T04:14:29 | 2026-03-30T04:14:29 | null | NONE | null | null | null | null | ### Describe the bug
Describe the bug
Some files in the Dangindev/viet-cultural-vqa dataset fail to load via the Hugging Face datasets library.
xet-hosted files load fine
LFS-hosted files sometimes fail
Example:
Fails: https://huggingface.co/datasets/Dangindev/viet-cultural-vqa/blob/main/images/am_thuc/banh_chung_T... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_8077). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
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"Hi ! Good catch :) Since table-formatted iterable datasets have an Arrow path (i.e. they have `.iter_arrow()`) I guess a simple fix would be to make `.batch()` make the dataset arrow-formatted and use a `batch_arrow_fn` in that case (instead of the current `_batch_fn` that expects dictionaries). It would also be b... | 2026-03-17T01:08:13 | 2026-03-20T00:23:14 | null | null | COLLABORATOR | null | null | null | null | The `.batch()` method currently assumes the input (batch) is always a dictionary, which causes errors when it isn't. This can happen with formatted datasets, since formats like `"pyarrow"`, `"pandas"` (only affects `IterableDataset`), and `"polars"` return tables/dataframes instead of dictionaries.
For example:
```pyt... | null | {
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related: https://github.com/apache/arrow/issues/9886 | {
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https://api.github.com/repos/huggingface/datasets/issues/8070 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8070/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8070/comments | https://api.github.com/repos/huggingface/datasets/issues/8070/events | https://github.com/huggingface/datasets/pull/8070 | 4,085,368,828 | PR_kwDODunzps7LEYUB | 8,070 | Release: 4.8.0 | {
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https://api.github.com/repos/huggingface/datasets/issues/8069 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8069/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8069/comments | https://api.github.com/repos/huggingface/datasets/issues/8069/events | https://github.com/huggingface/datasets/pull/8069 | 4,083,154,609 | PR_kwDODunzps7K9Ph0 | 8,069 | fix null filling in missing jsonl columns | {
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"merged_at": "2026-03-16T15:43... | fix regression from #8027 reported [internally](https://huggingface.slack.com/archives/C04BP5S7858/p1773661170461759) cc @gary149 | {
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https://api.github.com/repos/huggingface/datasets/issues/8068 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8068/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8068/comments | https://api.github.com/repos/huggingface/datasets/issues/8068/events | https://github.com/huggingface/datasets/pull/8068 | 4,079,149,641 | PR_kwDODunzps7Kwbp4 | 8,068 | Datasets streaming iterable packaged fixes | {
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"Fixing soon :)",
"Amazing PR ! I took the liberty of pushing a few fixes to account f... | 2026-03-15T20:37:55 | 2026-03-17T17:33:57 | 2026-03-16T22:54:07 | null | CONTRIBUTOR | null | null | false | {
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A collection of fixes and long-overdue feature completions that kept getting pushed off as TODO(QL) comments. Nothing here is a dramatic architectural change, mostly things that were partially wire... | {
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https://api.github.com/repos/huggingface/datasets/issues/8067 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8067/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8067/comments | https://api.github.com/repos/huggingface/datasets/issues/8067/events | https://github.com/huggingface/datasets/pull/8067 | 4,076,680,592 | PR_kwDODunzps7KpJ1W | 8,067 | typing: accept sequences for Dataset file loaders | {
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} | ## Summary
- update `Dataset.from_csv`, `from_json`, `from_parquet`, and `from_text` type hints from `list[PathLike]` to `Sequence[PathLike]`
- normalize non-string sequences to lists before passing paths to readers
- add path-type tests to cover tuple input for all four loaders
## Why
`list` is invariant for static t... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8066 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8066/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8066/comments | https://api.github.com/repos/huggingface/datasets/issues/8066/events | https://github.com/huggingface/datasets/pull/8066 | 4,076,658,501 | PR_kwDODunzps7KpFze | 8,066 | fix: avoid duplicate kwargs collisions in load_dataset_builder | {
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"I believe this was fixed in https://github.com/huggingface/datasets/pull/8068"
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} | ## Summary
- avoid duplicate keyword collisions when `config_kwargs` overlap with module-provided `builder_kwargs` in `load_dataset_builder`
- this fixes cases like passing `base_path=...` where `base_path` is already present in `builder_kwargs`
- add a regression test using a local dataset directory to ensure overridi... | {
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https://api.github.com/repos/huggingface/datasets/issues/8065 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8065/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8065/comments | https://api.github.com/repos/huggingface/datasets/issues/8065/events | https://github.com/huggingface/datasets/issues/8065 | 4,073,606,584 | I_kwDODunzps7yzk24 | 8,065 | ARM audio support broken | {
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"See also https://github.com/NVIDIA/garak/issues/1622#issuecomment-3937720381",
"Hi @leondz , thanks for the detailed bug report — the description and reproduction steps are really clear.\n\nI’d love to take a shot at investigating and potentially fixing this issue. Before I start digging into the codebase, I jus... | 2026-03-13T22:06:36 | 2026-03-23T14:16:47 | null | null | CONTRIBUTOR | null | null | null | null | ### Describe the bug
`datasets` 4.0 moved to using `torchcodec` for audio datasets, which doesn't support ARM hardware under Linux and Windows
### Steps to reproduce the bug
try:
* Try to install `torchcodec` under Linux ARM64
or:
* Try to install `torchcodec` under Windows ARM64
or, on either of those platforms... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/8064 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8064/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8064/comments | https://api.github.com/repos/huggingface/datasets/issues/8064/events | https://github.com/huggingface/datasets/pull/8064 | 4,064,944,679 | PR_kwDODunzps7KDQH- | 8,064 | Read (and write) from HF Storage Buckets: load raw data, process and save to Dataset Repos | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_8064). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
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"merged_at": "2026-03-16T15:45... | TODO:
- [x] load_dataset("csv", data_files=["hf://buckets/..."])
- [x] load_dataset("buckets/...")
- [x] Dataset.to_csv("hf://buckets/..."), to_json, to_parquet, etc.
- [x] DatasetDict.push_to_hub("buckets/...")
- [x] Dataset.push_to_hub("buckets/...")
- [x] DatasetDict.push_to_hub("buckets/...")
- [x] IterableD... | {
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https://api.github.com/repos/huggingface/datasets/issues/8063 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8063/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8063/comments | https://api.github.com/repos/huggingface/datasets/issues/8063/events | https://github.com/huggingface/datasets/pull/8063 | 4,064,033,042 | PR_kwDODunzps7KAPNO | 8,063 | Fix formatted iter arrow double yield | {
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"merged_at": "2026-03-17T00:06... | I (+Claude) noticed this when reading the code. I did not encounter this bug (I think) so I can't say much more about it. Perhaps the second iteration will immediately stop so the bug is harmless, but to be safe I think a return there is safer. | {
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https://api.github.com/repos/huggingface/datasets/issues/8062 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8062/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8062/comments | https://api.github.com/repos/huggingface/datasets/issues/8062/events | https://github.com/huggingface/datasets/pull/8062 | 4,064,013,989 | PR_kwDODunzps7KALNc | 8,062 | Fix iterable dataset dict num proc shards | {
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"I believe this was fixed in https://github.com/huggingface/datasets/pull/8068"
] | 2026-03-12T11:34:02 | 2026-03-17T00:10:20 | 2026-03-17T00:10:19 | null | CONTRIBUTOR | null | null | false | {
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} | If the number of shards for some split is lower than num_proc the IterableDatasetDict.push_to_hub will crash.
This handling of num_proc is as close to identical as the handling in IterableDataset.push_to_hub | {
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https://api.github.com/repos/huggingface/datasets/issues/8061 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8061/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8061/comments | https://api.github.com/repos/huggingface/datasets/issues/8061/events | https://github.com/huggingface/datasets/pull/8061 | 4,058,881,349 | PR_kwDODunzps7JvjMu | 8,061 | fix reshard_data_sources | {
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https://api.github.com/repos/huggingface/datasets/issues/8060 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8060/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8060/comments | https://api.github.com/repos/huggingface/datasets/issues/8060/events | https://github.com/huggingface/datasets/pull/8060 | 4,058,653,460 | PR_kwDODunzps7Juyj9 | 8,060 | Improve error message for invalid data_files pattern format | {
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] | 2026-03-11T14:41:22 | 2026-03-11T15:22:42 | 2026-03-11T15:21:37 | null | CONTRIBUTOR | null | null | false | {
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"merged_at": "2026-03-11T15:21... | This PR improves the error message raised in sanitize_patterns()
when an invalid data_files entry is provided.
The new message clearly explains the expected dictionary format:
{'split': <split_name>, 'path': <path_or_list_of_paths>}
This helps users debug incorrect dataset configurations more easily. | {
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https://api.github.com/repos/huggingface/datasets/issues/8059 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8059/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8059/comments | https://api.github.com/repos/huggingface/datasets/issues/8059/events | https://github.com/huggingface/datasets/pull/8059 | 4,047,389,910 | PR_kwDODunzps7JKln6 | 8,059 | set dev version | {
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End of preview. Expand in Data Studio
Dataset Card for GitHub Issues Dataset
Dataset Description
This dataset contains raw GitHub issue records prepared for natural language processing tasks.
The dataset was created from GitHub issue data and includes text fields such as title, body, and comments. No major cleaning or filtering has been applied. In particular:
- Pull requests are NOT removed
- Missing or incomplete records are NOT removed
- The dataset reflects real-world, unclean data
A column named is_pull_request is included to indicate whether each record corresponds to a pull request or a standard issue.
The purpose of keeping the dataset in raw form is to allow preprocessing, cleaning, and feature engineering to be demonstrated as part of the analysis pipeline.
License
This dataset is derived from publicly available GitHub issue data.
The original content belongs to the respective repository owners and contributors.
This dataset is shared for educational and research purposes only.
Users must comply with GitHub Terms of Service and the licenses of the original repositories.
Dataset Structure
Each record represents one GitHub issue or pull request, including metadata, user information, and discussion content.
Data Fields
The dataset includes the following key fields:
Core Issue Information
id: Unique identifier of the issuenumber: Issue number in the repositorytitle: Title of the issuebody: Main description text (may be empty)state: Status of the issue (open/closed)locked: Indicates if the issue is lockedcomments: List of comments associated with the issue
URLs and References
url,html_url: API and web links to the issuerepository_url: Link to the repositorycomments_url,events_url,labels_url: Related API endpoints
User Information
user: Information about the issue creator (e.g., login, id)assignee: Assigned user (if available)assignees: List of assigned usersclosed_by: User who closed the issue
Labels and Tags
labels: List of labels associated with the issue (name, color, description)
Time Information
created_at: Issue creation timestampupdated_at: Last update timestampclosed_at: Issue closing timestamp
Pull Request Information
pull_request: Contains pull request metadata if the record is a pull requestis_pull_request: Boolean flag indicating whether the record is a pull request
Additional Metadata
milestone: Milestone information (if available)author_association: Relationship of the author to the repositoryreactions: Reaction counts (likes, etc.)timeline_url: Timeline of issue eventsstate_reason: Reason for closing (if available)
Data Preprocessing
This dataset is intentionally kept in raw format.
No major preprocessing steps such as removing missing values or filtering pull requests were applied.
However, a helper column (is_pull_request) was added to allow users to filter the dataset depending on their task.
Users of this dataset are expected to perform their own preprocessing steps, such as:
- Removing or handling missing values
- Filtering pull requests if needed
- Cleaning text data
- Combining fields (e.g., title + body + comments)
Intended Uses
This dataset is intended for educational and research purposes, particularly for:
- Natural Language Processing (NLP)
- Semantic search using embeddings (e.g., FAISS)
- Text similarity and clustering
- Feature extraction and data preprocessing exercises
The dataset is especially suitable for demonstrating data cleaning, feature engineering, and handling of raw, unstructured data.
Out-of-Scope Uses
This dataset should NOT be used for:
- Identifying or profiling individual GitHub users
- Making legal, financial, or employment decisions
- Training high-risk AI systems without proper data cleaning and validation
- Any use involving sensitive personal data without preprocessing and anonymisation
Limitations
- The dataset contains missing and incomplete text fields.
- Pull requests and issues are mixed together.
- Text data may include noise, informal language, or irrelevant content.
- Some records may not be useful without preprocessing.
- Public GitHub data may still contain unintended sensitive or personal information.
Because the dataset is raw, preprocessing is required before using it for machine learning tasks.
Ethical Considerations
Since this dataset is collected from public GitHub sources and kept in raw form:
- It may contain usernames or references to individuals
- It may include unintended sensitive information in issue text
- No automatic anonymisation has been applied
Users must review and clean the dataset before using it in any sensitive or production context.
Personal or sensitive information should be removed or masked where not necessary, in line with organisational AI and data governance policies.
Data Classification
This dataset is classified as Internal/Public (educational use).
Although the original data is publicly available, the processed dataset should still be handled responsibly. Data classification and handling should follow organisational rules for confidentiality, integrity, and access control
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