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|
--- |
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annotations_creators: |
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- no-annotation |
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language: |
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- en |
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|
language_creators: |
|
|
- other |
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|
license: [] |
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|
multilinguality: |
|
|
- monolingual |
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|
pretty_name: github-pytorch-issues |
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size_categories: |
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|
- 1K<n<10K |
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|
source_datasets: [] |
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|
tags: |
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|
- Pytorch issues information Custom data set |
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|
task_categories: |
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|
- question-answering |
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|
- text-generation |
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|
task_ids: |
|
|
- open-domain-qa |
|
|
- closed-domain-qa |
|
|
- language-modeling |
|
|
--- |
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# Dataset Card for github-pytorch-issues |
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## Dataset Summary |
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This dataset is a curated collection of GitHub issues from the [PyTorch repository](https://github.com/pytorch/pytorch). Each entry includes the issue `title`, `body`, `user`, `state`, `labels`, `comments`, and other relevant fields that are useful for tasks such as text classification, semantic search, and question answering. |
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## Supported Tasks and Leaderboards |
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The dataset supports the following tasks: |
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- **Open-domain Question Answering**: Given a user query, match it to a relevant issue and retrieve the response from the issue body or comments. |
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- **Closed-domain Question Answering**: Same as above but restricted to PyTorch-related questions. |
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- **Text Generation / Language Modeling**: Use the issue title as prompt and body as target text to fine-tune generative models. |
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## Languages |
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- English (`en`) |
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## Dataset Structure |
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### Data Fields |
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- `id`: Unique issue ID |
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- `title`: Title of the issue |
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- `user`: GitHub user who opened the issue |
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- `state`: Open or closed |
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- `labels`: Comma-separated labels/tags |
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- `comments`: Number of comments |
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- `author_association`: Role of the author in the repository |
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- `body`: Main text of the issue |
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## Example |
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```json |
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{ |
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"id": 1500, |
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"title": "torch.save crashes on certain tensor inputs", |
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"user": "some_user", |
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"state": "open", |
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"labels": ["bug", "serialization"], |
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"comments": 4, |
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"author_association": "CONTRIBUTOR", |
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|
"body": "I'm encountering a crash when trying to serialize certain model outputs..." |
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} |
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``` |
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### Dataset Creation |
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The dataset was created by collecting issues via the GitHub REST API using the endpoint: |
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```python |
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https://api.github.com/repos/pytorch/pytorch/issues |
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``` |