Update README with threads info

README.md

@@ -1,3 +1,84 @@
+# Farcaster Threads Dataset
+
+## Overview
+
+This dataset contains high-quality thread data from Farcaster's entire history, featuring 512-dimensional embeddings generated using Voyager (float32) on formatted thread text. The dataset includes comprehensive thread metadata, engagement metrics, and vector embeddings suitable for semantic search, recommendation systems, and content analysis.
+
+## Dataset Details
+
+- **Total Records**: ~24.3 million threads
+- **Data Cutoff**: 2025-05-21 19:44:58.000 -0600 (no threads newer than this date)
+- **Quality Filter**: Non-spam content only (spam label = 2)
+- **Embedding Model**: Voyager 512-dimensional float32 vectors
+- **Repository**: [shoni/farcaster](https://huggingface.co/datasets/shoni/farcaster)
+- **Data Location**: `/threads` folder
+
+## Schema
+
+| Column | Type | Description |
+|--------|------|-------------|
+| `hash` | bytes | Unique thread identifier (primary key) |
+| `fids` | list[int] | FIDs of reply authors, ordered by reaction count (most reacted first) |
+| `reactions` | int | Total reaction count from non-spam users |
+| `author_fid` | int | FID of the original thread author |
+| `timestamp` | timestamp | Thread creation date |
+| `claimed_at` | timestamp | When thread was claimed by processing worker |
+| `blob` | string | Formatted thread text including replies and author information |
+| `blob_embedding` | list[float32] | 512-dimensional Voyager embeddings of the blob text |
+
+## Data Quality
+
+- **Spam Filtering**: Only includes threads with spam label = 2 (verified non-spam)
+- **Engagement Metrics**: Reaction counts filtered to exclude spam users
+- **Historical Coverage**: Complete Farcaster thread history up to cutoff date
+- **Reply Ordering**: Reply authors (`fids`) sorted by engagement for relevance
+
+## Use Cases
+
+- Semantic search over Farcaster content
+- Thread recommendation systems
+- Content similarity analysis
+- Social network analysis
+- Engagement prediction modeling
+- Community detection and analysis
+
+## Loading the Dataset
+
+```python
+from datasets import load_dataset
+
+# Load the dataset
+dataset = load_dataset("shoni/farcaster", data_dir="threads")
+
+# Access embeddings
+embeddings = dataset['train']['blob_embedding']
+
+# Access formatted thread text
+threads = dataset['train']['blob']
+```
+
+## Citation
+
+If you use this dataset in your research, please cite:
+
+```
+@dataset{farcaster_threads_2025,
+  title={Farcaster Threads Dataset with Voyager Embeddings},
+  author={shoni},
+  year={2025},
+  url={https://huggingface.co/datasets/shoni/farcaster}
+}
+```
+
+## License
+
+CC-BY-4.0
+
+## Repository
+
+[https://huggingface.co/datasets/shoni/farcaster](https://huggingface.co/datasets/shoni/farcaster)
+
+
 ---
 license: cc-by-4.0
 ---