new v2 threads dataset

new binary embedding column, better spam filtering, less tokens with better data

(forgot token count column)

README.md

@@ -24,9 +24,9 @@ This dataset contains high-quality thread data from Farcaster's entire history,
 
 ## 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)
+- **Total Records**: ~18,147,313 threads
+- **Data Cutoff**: 2025-06-25 (no threads newer than this date)
+- **Quality Filter**: Non-spam content only (spam label = 2), low-effort replies and threads removed.
 - **Embedding Model**: VoyageAI 512-dimensional float32 vectors
 - **Repository**: [shoni/farcaster](https://huggingface.co/datasets/shoni/farcaster)
 - **Data Location**: `/threads` folder
@@ -43,6 +43,8 @@ This dataset contains high-quality thread data from Farcaster's entire history,
 | `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 VoyageAI embeddings of the blob text |
+| `blob_timestamp` | timestamp | Timestamp of when the blob text was generated |
+| `blob_embedding_binary` | bytes | Binary representation of the embeddings (512 bits) |
 
 ## Data Quality
 

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