Dataset Viewer
Auto-converted to Parquet Duplicate
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https://api.github.com/repos/huggingface/datasets/issues/6576
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2,073,710,124
I_kwDODunzps57mk4s
6,576
document page 404 not found after redirection
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[ "Thanks for reporting! I've opened a PR with a fix." ]
2024-01-10T06:48:14
2024-01-17T14:01:31
2024-01-17T14:01:31
NONE
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### Describe the bug The redirected page encountered 404 not found. ### Steps to reproduce the bug 1. In this tutorial: https://huggingface.co/learn/nlp-course/chapter5/4?fw=pt original md: https://github.com/huggingface/course/blob/2c733c2246b8b7e0e6f19a9e5d15bb12df43b2a3/chapters/en/chapter5/4.mdx#L49 `...
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1,812,635,902
I_kwDODunzps5sCqD-
6,053
Change package name from "datasets" to something less generic
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[ "This would break a lot of existing code, so we can't really do this.", "I encountered this issue while working on a large project with 6+ years history. We have a submodule named datasets in the backend, and face a big challenge incorporating huggingface datasets into the project, especially considering django a...
2023-07-19T19:53:28
2024-11-20T21:22:36
2023-10-03T16:04:09
NONE
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### Feature request I'm repeatedly finding myself in situations where I want to have a package called `datasets.py` or `evaluate.py` in my code and can't because those names are being taken up by Huggingface packages. While I can understand how (even from the user's perspective) it's aesthetically pleasing to have n...
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https://api.github.com/repos/huggingface/datasets/issues/6182
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1,867,203,131
I_kwDODunzps5vS0I7
6,182
Loading Meteor metric in HF evaluate module crashes due to datasets import issue
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[ "Our minimal Python version requirement is 3.8, so we dropped `importlib_metadata`. \r\n\r\nFeel free to open a PR in the `evaluate` repo to replace the problematic import with\r\n```python\r\nif PY_VERSION < version.parse(\"3.8\"):\r\n import importlib_metadata\r\nelse:\r\n import importlib.metadata as impor...
2023-08-25T14:54:06
2023-09-04T16:41:11
2023-08-31T14:38:23
NONE
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### Describe the bug When using python3.9 and ```evaluate``` module loading Meteor metric crashes at a non-existent import from ```datasets.config``` in ```datasets v2.14``` ### Steps to reproduce the bug ``` from evaluate import load meteor = load("meteor") ``` produces the following error: ``` from d...
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https://api.github.com/repos/huggingface/datasets/issues/6773
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2,221,049,121
I_kwDODunzps6EYoUh
6,773
Dataset on Hub re-downloads every time?
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[ "The caching works as expected when I try to reproduce this locally or on Colab...", "hi @mariosasko , Thank you for checking. I also tried running this again just now, and it seems like the `load_dataset()` caches properly (though I'll double check later).\r\n\r\nI think the issue might be in the caching of the ...
2024-04-02T17:23:22
2024-04-08T18:43:45
2024-04-08T18:43:45
NONE
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### Describe the bug Hi, I have a dataset on the hub [here](https://huggingface.co/datasets/manestay/borderlines). It has 1k+ downloads, which I sure is mostly just me and my colleagues working with it. It should have far fewer, since I'm using the same machine with a properly set up HF_HOME variable. However, whene...
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2,648,019,507
I_kwDODunzps6d1ZIz
7,289
Dataset viewer displays wrong statists
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[ "i think this issue is more for https://github.com/huggingface/dataset-viewer" ]
2024-11-11T03:29:27
2024-11-13T13:02:25
2024-11-13T13:02:25
NONE
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### Describe the bug In [my dataset](https://huggingface.co/datasets/speedcell4/opus-unigram2), there is a column called `lang2`, and there are 94 different classes in total, but the viewer says there are 83 values only. This issue only arises in the `train` split. The total number of values is also 94 in the `test`...
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https://api.github.com/repos/huggingface/datasets/issues/6112
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1,833,693,299
I_kwDODunzps5tS_Bz
6,112
yaml error using push_to_hub with generated README.md
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[ "Thanks for reporting! This is a bug in converting the `ArrayXD` types to YAML. It will be fixed soon." ]
2023-08-02T18:21:21
2023-12-12T15:00:44
2023-12-12T15:00:44
NONE
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### Describe the bug When I construct a dataset with the following features: ``` features = Features( { "pixel_values": Array3D(dtype="float64", shape=(3, 224, 224)), "input_ids": Sequence(feature=Value(dtype="int64")), "attention_mask": Sequence(Value(dtype="int64")), "token...
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2,860,947,582
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7,413
Documentation on multiple media files of the same type with WebDataset
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[ "Yes this is correct and it works with huggingface datasets as well ! Feel free to include an example here: https://github.com/huggingface/datasets/blob/main/docs/source/video_dataset.mdx" ]
2025-02-18T16:13:20
2025-02-20T14:17:54
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The [current documentation](https://huggingface.co/docs/datasets/en/video_dataset) on a creating a video dataset includes only examples with one media file and one json. It would be useful to have examples where multiple files of the same type are included. For example, in a sign language dataset, you may have a base v...
null
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7,729
OSError: libcudart.so.11.0: cannot open shared object file: No such file or directory
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[ "Is this related to the \"datasets\" library? @SaleemMalikAI " ]
2025-08-07T14:07:23
2025-09-24T02:17:15
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> Hi is there any solution for that eror i try to install this one pip install torch==1.12.1+cpu torchaudio==0.12.1+cpu -f https://download.pytorch.org/whl/torch_stable.html this is working fine but tell me how to install pytorch version that is fit for gpu
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Fix CI for pyarrow 13.0.0
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2023-08-23T14:11:20
2023-08-25T13:06:53
2023-08-25T13:06:53
MEMBER
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pyarrow 13.0.0 just came out ``` FAILED tests/test_formatting.py::ArrowExtractorTest::test_pandas_extractor - AssertionError: Attributes of Series are different Attribute "dtype" are different [left]: datetime64[us, UTC] [right]: datetime64[ns, UTC] ``` ``` FAILED tests/test_table.py::test_cast_sliced_fi...
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Fix deprecation warning when building conda package
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[ "<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_a...
2023-11-15T18:00:11
2023-12-13T14:22:30
2023-12-13T14:16:00
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When building/releasing conda package, we get this deprecation warning: ``` /usr/share/miniconda/envs/build-datasets/bin/conda-build:11: DeprecationWarning: conda_build.cli.main_build.main is deprecated and will be removed in 4.0.0. Use `conda build` instead. ``` This PR fixes the deprecation warning by using `co...
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I_kwDODunzps6Rw6Ad
7,086
load_dataset ignores cached datasets and tries to hit HF Hub, resulting in API rate limit errors
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[ "I'm having the same issue - running into rate limits when doing hyperparameter tuning even though the dataset is supposed to be cached. I feel like this behaviour should at the very least be documented, but honestly you should just not be running into rate limits in the first place when the dataset is cached. It e...
2024-08-02T18:12:23
2025-06-16T18:43:29
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### Describe the bug I have been running lm-eval-harness a lot which has results in an API rate limit. This seems strange, since all of the data should be cached locally. I have in fact verified this. ### Steps to reproduce the bug 1. Be Me 2. Run `load_dataset("TAUR-Lab/MuSR")` 3. Hit rate limit error 4. Dataset...
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7,259
Don't embed videos
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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7259). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update." ]
2024-10-28T16:25:10
2024-10-28T16:27:34
2024-10-28T16:26:01
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don't include video bytes when running download_and_prepare(format="parquet") this also affects push_to_hub which will just upload the local paths of the videos though
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7,399
Synchronize parameters for various datasets
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[ "Hi ! the `desc` parameter is only available for Dataset / DatasetDict for the progress bar of `map()``\n\nSince IterableDataset only runs the map functions when you iterate over the dataset, there is no progress bar and `desc` is useless. We could still add the argument for parity but it wouldn't be used for anyth...
2025-02-14T09:15:11
2025-02-19T11:50:29
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### Describe the bug [IterableDatasetDict](https://huggingface.co/docs/datasets/v3.2.0/en/package_reference/main_classes#datasets.IterableDatasetDict.map) map function is missing the `desc` parameter. You can see the equivalent map function for [Dataset here](https://huggingface.co/docs/datasets/v3.2.0/en/package_refe...
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Make prepare_split more robust if errors in metadata dataset_info splits
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[ "_The documentation is not available anymore as the PR was closed or merged._", "<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea...
2023-05-26T08:48:22
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This PR uses `split_generator.split_info` as default value for `split_info` if any exception is raised while trying to get `split_generator.name` from `self.info.splits` (this may happen if there is any error in the metadata dataset_info splits). Please note that `split_info` is only used by the logger. Fix #5895...
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Fix typos
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[ "_The documentation is not available anymore as the PR was closed or merged._", "<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea...
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Remove upper version limit of fsspec[http]
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2024-11-20T11:29:16
2025-03-06T04:47:04
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Incorrect test set labels for RTE and CoLA datasets via load_dataset
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[ "As this is a specific issue of the \"glue\" dataset, I have transferred it to the dataset Discussion page: https://huggingface.co/datasets/glue/discussions/15\r\n\r\nLet's continue the discussion there!" ]
2023-12-16T22:06:08
2023-12-21T09:57:57
2023-12-21T09:57:57
NONE
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### Describe the bug The test set labels for the RTE and CoLA datasets when loading via datasets load_dataset are all -1. Edit: It appears this is also the case for every other dataset except for MRPC (stsb, sst2, qqp, mnli (both matched and mismatched), qnli, wnli, ax). Is this intended behavior to safeguard the t...
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`dataset.filter` ALWAYS removes the first item from the dataset when using batched=True
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[ "`filter` treats the function's output as a (selection) mask - `True` keeps the sample, and `False` drops it. In your case, `bool(0)` evaluates to `False`, so dropping the first sample is the correct behavior.", "Oh gosh! 🤦 I totally misunderstood the API! My apologies!" ]
2023-09-13T20:20:37
2023-09-17T07:05:07
2023-09-17T07:05:07
NONE
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### Describe the bug If you call batched=True when calling `filter`, the first item is _always_ filtered out, regardless of the filter condition. ### Steps to reproduce the bug Here's a minimal example: ```python def filter_batch_always_true(batch, indices): print("First index being passed into this filte...
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pyinstaller : OSError: could not get source code
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[ "more information:\r\n``` \r\nFile \"text2vec\\__init__.py\", line 8, in <module>\r\nFile \"<frozen importlib._bootstrap>\", line 1027, in _find_and_load\r\nFile \"<frozen importlib._bootstrap>\", line 1006, in _find_and_load_unlocked\r\nFile \"<frozen importlib._bootstrap>\", line 688, in _load_unlocked\r\nFile \"...
2023-10-17T01:41:51
2023-11-02T07:24:51
2023-10-18T14:03:42
NONE
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### Describe the bug I ran a package with pyinstaller and got the following error: ### Steps to reproduce the bug ``` ... File "datasets\__init__.py", line 52, in <module> File "<frozen importlib._bootstrap>", line 1027, in _find_and_load File "<frozen importlib._bootstrap>", line 1006, in _find_an...
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fix os.listdir return name is empty string
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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6581). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.", "\r\nObj [\"name\"] ends with \"/\"", "@lhoestq \r\n\r\nhello,\r\nCan you help me chec...
2024-01-11T07:10:55
2024-01-24T10:14:43
2024-01-24T10:08:28
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fix #6588 xlistdir return name is empty string for example: ` from datasets.download.streaming_download_manager import xjoin from datasets.download.streaming_download_manager import xlistdir config = DownloadConfig(storage_options=options) manger = StreamingDownloadManager("ILSVRC2012",download_config=config...
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PR_kwDODunzps5it5Sm
6,531
Add polars compatibility
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[ "Hi ! thanks for adding polars support :)\r\n\r\nYou added from_polars in arrow_dataset.py but not to_polars, is this on purpose ?\r\n\r\nAlso no need to touch table.py imo, which is for arrow-only logic (tables are just wrappers of pyarrow.Table with the exact same methods + optimization to existing methods + sepa...
2023-12-24T20:03:23
2024-03-08T19:29:25
2024-03-08T15:22:58
CONTRIBUTOR
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Hey there, I've just finished adding support to convert and format to `polars.DataFrame`. This was in response to the open issue about integrating Polars [#3334](https://github.com/huggingface/datasets/issues/3334). Datasets can be switched to Polars format via `Dataset.set_format("polars")`. I've also included `to_...
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End of preview. Expand in Data Studio

GitHub Issues Dataset - Hugging Face Datasets Repository Dataset Description This dataset contains 2,000 issues and pull requests from the Hugging Face Datasets GitHub repository. It includes comprehensive metadata about each issue/PR along with all associated comments, making it suitable for various NLP and software engineering tasks.

Dataset Summary Repository: huggingface/datasets Total Examples: 2,000 (1,000 train / 1,000 test) Collection Date: November 4, 2025 Language: English Data Source: GitHub REST API v3

Supported Tasks Issue Classification: Categorize issues by type, priority, or topic Automated Triage: Predict issue labels or assignment Comment Generation: Generate helpful responses to issues Summarization: Create concise summaries of lengthy discussions Sentiment Analysis: Analyze community sentiment and tone Duplicate Detection: Identify similar or duplicate issues Resolution Prediction: Predict if/when issues will be closed

Dataset Structure Data Instances Each example contains:

Issue/PR metadata (title, state, dates, author) User information Labels and assignees Complete comment thread Reaction counts Pull request linkage (if applicable)

Data Fields: Includes Field(Left), type(middle) and description (right)

url string API URL for the issue,

html_url string Web URL for the issue,

number int Issue/PR number,

title string Issue/PR title,

body string Issue/PR description,

state string Current state (open/closed),

created_at string Creation timestamp (ISO 8601),

updated_at string Last update timestamp,

closed_at string Closure timestamp (if closed),

user string Author information (JSON),

assignee string Assigned user (JSON),

assignees list[string] All assigned users,

labels list[string] Applied labels,

comments list[string] All comment bodies,

comment_count int Number of comments,

is_pull_request bool Whether this is a PR,

pull_request string PR metadata (JSON, if applicable),

reactions string Reaction counts (JSON),

locked bool Whether discussion is locked,

author_association string User's relationship to repo,

state_reason string Reason for current state

Data Splits Train: 1,000 examples (50%) Test: 1,000 examples (50%) Split performed randomly with seed for reproducibility.

Dataset Creation Source Data Data collected from the GitHub REST API (https://api.github.com) using authenticated requests.

Data Collection Process Fetched 2,000 most recent issues/PRs using pagination Filtered to include both open and closed items Retrieved all comments for each issue via separate API calls Added is_pull_request flag to distinguish PRs from issues Split dataset 50/50 into train and test sets

Annotations No manual annotations were added. All data comes directly from GitHub.

Licensing and Usage License This dataset contains data from GitHub and is subject to:

GitHub Terms of Service: https://docs.github.com/en/site-policy/github-terms/github-terms-of-service GitHub API Terms: https://docs.github.com/en/site-policy/github-terms/github-terms-for-additional-products-and-features#api-terms

Key License Considerations:

Public Data: All data was publicly accessible at time of collection API Usage: Collected via authenticated GitHub API following rate limits Redistribution: Subject to GitHub's terms regarding redistribution of public data Commercial Use: Review GitHub ToS for commercial usage restrictions

Privacy and Attribution User Information:

Contains usernames, avatars, and public profile links All information was publicly visible on GitHub No private or authenticated user data included Usernames should be treated as personally identifiable information (PII)

Attribution Requirements:

Original content created by GitHub users remains their intellectual property Dataset should be attributed to: "GitHub Issues from huggingface/datasets repository" Individual contributions belong to their respective authors

Recommended Citation:

Hugging Face Datasets GitHub Issues Dataset (2025) Source: https://github.com/huggingface/datasets Collected: November 4, 2025

Ethical Considerations Potential Biases Temporal Bias: Only reflects issues from a specific time period Community Bias: Reflects the Hugging Face Datasets user community Language Bias: Predominantly English language content Selection Bias: Most recent 2,000 issues may not represent all issue types

Privacy Considerations Public Information Only: All data was public at collection time User Privacy: Contains public usernames and profile information Content Sensitivity: May include bug reports with error messages or code snippets Right to be Forgotten: Users may delete/edit their comments after collection

Recommended Use Practices DO: Use for research and educational purposes Aggregate and anonymize when possible Respect user privacy in publications Check for updates to GitHub's terms

DON'T: Use for harassment or targeting individuals Assume data represents all software development Republish without proper attribution Use for training models that could harm users

Storage and Maintenance Storage Requirements Size: ~20.5 MB (10.2 MB train + 10.3 MB test) Format: JSONL (JSON Lines) Compression: None applied

Data Retention Snapshot Date: November 4, 2025 Update Frequency: Static snapshot (not automatically updated) Archival: Stored on Hugging Face Hub for long-term access

Known Limitations Static Snapshot: Issues/comments may have been edited or deleted since collection Incomplete Context: Does not include code changes, file attachments, or images API Limitations: Some fields may be truncated or sanitized by GitHub API Rate Limiting: Collection required rate limit management (5,000 requests/hour)

Technical Details Data Quality Completeness: All requested fields retrieved successfully Validation: Response codes verified (200 OK) Error Handling: Rate limit handling implemented with retry logic Duplicates: No duplicate issues (verified by issue number)

Preprocessing Minimal preprocessing applied JSON responses preserved in original structure Comments retrieved via separate API calls and added as list field Boolean flag added for pull request identification

Contact

For questions about this dataset:

Repository: Aliyah-20146588/github-issues Original Source: https://github.com/huggingface/datasets GitHub API Documentation: https://docs.github.com/en/rest

Changelog

Version 1.0 (November 4, 2025) Initial release 2,000 issues/PRs with comments Train/test split (1000/1000)

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