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README.md

@@ -1,91 +1,110 @@
 ---
-dataset_info:
-  features:
-  - name: id
-    dtype: int64
-  - name: title
-    dtype: string
-  - name: fancy_title
-    dtype: string
-  - name: slug
-    dtype: string
-  - name: posts_count
-    dtype: int64
-  - name: reply_count
-    dtype: int64
-  - name: highest_post_number
-    dtype: int64
-  - name: image_url
-    dtype: string
-  - name: created_at
-    dtype: string
-  - name: last_posted_at
-    dtype: string
-  - name: bumped
-    dtype: bool
-  - name: bumped_at
-    dtype: string
-  - name: archetype
-    dtype: string
-  - name: unseen
-    dtype: bool
-  - name: pinned
-    dtype: bool
-  - name: unpinned
-    dtype: 'null'
-  - name: visible
-    dtype: bool
-  - name: closed
-    dtype: bool
-  - name: archived
-    dtype: bool
-  - name: bookmarked
-    dtype: 'null'
-  - name: liked
-    dtype: 'null'
-  - name: tags_descriptions
-    dtype: 'null'
-  - name: views
-    dtype: int64
-  - name: like_count
-    dtype: int64
-  - name: has_summary
-    dtype: bool
-  - name: last_poster_username
-    dtype: string
-  - name: category_id
-    dtype: int64
-  - name: pinned_globally
-    dtype: bool
-  - name: featured_link
-    dtype: string
-  - name: has_accepted_answer
-    dtype: bool
-  - name: posters
-    list:
-    - name: description
-      dtype: string
-    - name: extras
-      dtype: string
-    - name: flair_group_id
-      dtype: 'null'
-    - name: primary_group_id
-      dtype: 'null'
-    - name: user_id
-      dtype: int64
-  - name: featured_link_root_domain
-    dtype: string
-  - name: unicode_title
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 32906189
-    num_examples: 73380
-  download_size: 13864196
-  dataset_size: 32906189
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+license: mit
+task_categories:
+- text-generation
+- question-answering
+language:
+- en
+tags:
+- pytorch
+- forum
+- community
+- deep-learning
+- machine-learning
+size_categories:
+- 10K<n<100K
 ---
+
+# PyTorch Forum Topics Dataset
+
+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.
+
+## Dataset Description
+
+- **Total Topics**: 73,380
+- **Source**: PyTorch Community Forum (discuss.pytorch.org)
+- **Format**: JSONL (JSON Lines)
+- **Language**: English
+- **License**: MIT
+
+## Dataset Structure
+
+Each record in the dataset contains the following fields:
+
+- `id`: Unique topic identifier
+- `title`: Topic title
+- `slug`: URL-friendly version of the title
+- `posts_count`: Number of posts in the topic
+- `reply_count`: Number of replies
+- `highest_post_number`: Highest post number in the topic
+- `image_url`: Featured image URL (if any)
+- `created_at`: Topic creation timestamp
+- `last_posted_at`: Last activity timestamp
+- `bumped`: Whether the topic was bumped
+- `bumped_at`: Bump timestamp
+- `archetype`: Topic type (e.g., "regular")
+- `unseen`: Whether the topic is unseen
+- `last_read_post_number`: Last read post number
+- `unread`: Number of unread posts
+- `new_posts`: Number of new posts
+- `pinned`: Whether the topic is pinned
+- `unpinned`: Unpinned timestamp
+- `visible`: Whether the topic is visible
+- `closed`: Whether the topic is closed
+- `archived`: Whether the topic is archived
+- `notification_level`: Notification level
+- `bookmarked`: Whether the topic is bookmarked
+- `liked`: Whether the topic is liked
+- `views`: Number of views
+- `like_count`: Number of likes
+- `has_summary`: Whether the topic has a summary
+- `last_poster_username`: Username of the last poster
+- `category_id`: Category identifier
+- `op_like_count`: Original post like count
+- `pinned_globally`: Whether pinned globally
+- `featured_link`: Featured link (if any)
+- `posters`: List of users who posted in the topic
+
+## Use Cases
+
+This dataset can be used for:
+
+1. **Topic Analysis**: Understanding discussion patterns in the PyTorch community
+2. **Text Classification**: Categorizing forum topics by content
+3. **Trend Analysis**: Analyzing the evolution of PyTorch-related discussions
+4. **Community Insights**: Understanding user engagement and popular topics
+5. **Question-Answer Extraction**: Identifying potential Q&A pairs for further processing
+6. **Language Modeling**: Training models on PyTorch-specific terminology and discussions
+
+## Data Collection
+
+The data was collected using an automated scraper that:
+- Respects the forum's rate limits
+- Uses proper HTTP headers and session management
+- Implements exponential backoff for failed requests
+- Focuses on publicly available topic metadata
+
+## Ethical Considerations
+
+- This dataset contains only publicly available information from the PyTorch forum
+- No private or sensitive information is included
+- The data collection process was designed to be respectful of the forum's resources
+- Users should respect the original forum's terms of service when using this data
+
+## Citation
+
+If you use this dataset in your research, please cite:
+
+```bibtex
+@dataset{pytorch_forum_topics_2025,
+  title={PyTorch Forum Topics Dataset},
+  author={Community Contributor},
+  year={2025},
+  url={https://huggingface.co/datasets/your-username/pytorch-forum-topics},
+  note={Scraped from discuss.pytorch.org}
+}
+```
+
+## Updates
+
+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.