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README.md
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num_bytes: 20233919
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num_examples: 10000
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download_size: 7315336
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dataset_size: 20233919
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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---
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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:
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- other
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license: []
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multilinguality:
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- 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:
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- open-domain-qa
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- closed-domain-qa
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- language-modeling
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---
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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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```
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