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--- |
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license: mit |
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task_categories: |
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- text-generation |
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- question-answering |
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language: |
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- en |
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tags: |
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- pytorch |
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- forum |
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- community |
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- deep-learning |
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- machine-learning |
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size_categories: |
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- 10K<n<100K |
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--- |
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# PyTorch Forum Topics Dataset |
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This dataset contains topic metadata scraped from the [PyTorch Community Forum](https://discuss.pytorch.org). It includes comprehensive information about forum topics that can be used for various NLP tasks related to PyTorch and deep learning discussions. |
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## Dataset Description |
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- **Total Topics**: 73,380 |
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- **Source**: PyTorch Community Forum (discuss.pytorch.org) |
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- **Format**: JSONL (JSON Lines) |
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- **Language**: English |
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- **License**: MIT |
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## Dataset Structure |
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Each record in the dataset contains the following fields: |
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- `id`: Unique topic identifier |
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- `title`: Topic title |
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- `slug`: URL-friendly version of the title |
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- `posts_count`: Number of posts in the topic |
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- `reply_count`: Number of replies |
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- `highest_post_number`: Highest post number in the topic |
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- `image_url`: Featured image URL (if any) |
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- `created_at`: Topic creation timestamp |
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- `last_posted_at`: Last activity timestamp |
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- `bumped`: Whether the topic was bumped |
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- `bumped_at`: Bump timestamp |
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- `archetype`: Topic type (e.g., "regular") |
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- `unseen`: Whether the topic is unseen |
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- `last_read_post_number`: Last read post number |
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- `unread`: Number of unread posts |
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- `new_posts`: Number of new posts |
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- `pinned`: Whether the topic is pinned |
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- `unpinned`: Unpinned timestamp |
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- `visible`: Whether the topic is visible |
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- `closed`: Whether the topic is closed |
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- `archived`: Whether the topic is archived |
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- `notification_level`: Notification level |
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- `bookmarked`: Whether the topic is bookmarked |
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- `liked`: Whether the topic is liked |
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- `views`: Number of views |
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- `like_count`: Number of likes |
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- `has_summary`: Whether the topic has a summary |
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- `last_poster_username`: Username of the last poster |
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- `category_id`: Category identifier |
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- `op_like_count`: Original post like count |
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- `pinned_globally`: Whether pinned globally |
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- `featured_link`: Featured link (if any) |
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- `posters`: List of users who posted in the topic |
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## Use Cases |
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This dataset can be used for: |
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1. **Topic Analysis**: Understanding discussion patterns in the PyTorch community |
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2. **Text Classification**: Categorizing forum topics by content |
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3. **Trend Analysis**: Analyzing the evolution of PyTorch-related discussions |
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4. **Community Insights**: Understanding user engagement and popular topics |
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5. **Question-Answer Extraction**: Identifying potential Q&A pairs for further processing |
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6. **Language Modeling**: Training models on PyTorch-specific terminology and discussions |
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## Data Collection |
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The data was collected using an automated scraper that: |
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- Respects the forum's rate limits |
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- Uses proper HTTP headers and session management |
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- Implements exponential backoff for failed requests |
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- Focuses on publicly available topic metadata |
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## Ethical Considerations |
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- This dataset contains only publicly available information from the PyTorch forum |
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- No private or sensitive information is included |
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- The data collection process was designed to be respectful of the forum's resources |
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- Users should respect the original forum's terms of service when using this data |
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## Citation |
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If you use this dataset in your research, please cite: |
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```bibtex |
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@dataset{pytorch_forum_topics_2025, |
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title={PyTorch Forum Topics Dataset}, |
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author={Community Contributor}, |
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year={2025}, |
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url={https://huggingface.co/datasets/your-username/pytorch-forum-topics}, |
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note={Scraped from discuss.pytorch.org} |
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} |
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``` |
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## Updates |
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This dataset was created on July 24, 2025, and contains topics available at that time. The PyTorch forum is continuously active, so newer topics may not be included. |
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