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.gitattributes

@@ -57,3 +57,23 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+posts_001.jsonl filter=lfs diff=lfs merge=lfs -text
+posts_002.jsonl filter=lfs diff=lfs merge=lfs -text
+posts_003.jsonl filter=lfs diff=lfs merge=lfs -text
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+posts_019.jsonl filter=lfs diff=lfs merge=lfs -text
+posts_020.jsonl filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,51 @@
+![Bluesky Posts Dataset Overview](bskyposts.png)
+
+---
+language:
+- en
+- multilingual
+license: apache-2.0
+tags:
+- bluesky
+- social-media
+- posts
+---
+
+# 8 Million Bluesky Social Posts Collection
+
+A comprehensive collection of 8 million public posts from Bluesky Social platform, gathered between November 27 - December 3, 2024. This dataset provides researchers and developers with a large-scale sample of real-world social media data for analysis and experimentation.
+
+## Dataset Overview
+
+### Key Information
+- **Source**: Bluesky Social Platform
+- **Time Range**: Nov 27 - Dec 3, 2024
+- **Format**: JSONL
+- **Curator**: Alim Maasoglu
+- **Primary Language**: English (includes other languages)
+
+### Data Structure
+Each post entry contains:
+- `uri`: Unique post identifier
+- `created_at`: Post creation timestamp
+- `text`: Post content
+- `author`: Author information
+- Additional metadata (images, replies, etc.)
+
+### Potential Applications
+- Social media content analysis
+- Language processing research
+- Trend analysis
+- Content recommendation systems
+- Social network analysis
+
+### File Organization
+- Files are chronologically organized
+- Each file is approximately 140MB
+- Naming format: `posts_[DATE]_[TIME].jsonl`
+
+## Usage Notes
+This dataset is intended for research and development purposes. Users should comply with Bluesky's terms of service when utilizing this data.
+
+## Acknowledgments
+Data collected from Bluesky Social's public posts. Special thanks to the Bluesky community.

posts_001.jsonl

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+size 133765611

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upload.py

@@ -0,0 +1,9 @@
+from huggingface_hub import HfApi
+
+# Upload the folder
+api = HfApi()
+api.upload_folder(
+    folder_path="/Users/alimmaasoglu/data-cleanup/data/processed_files",
+    repo_id="withalim/bluesky-posts",
+    repo_type="dataset"
+)