Update README.md

README.md

@@ -13,6 +13,13 @@ Here we present the variant level embeddings for large-scale genetic analyis as
 
 Genetic variants are identified with their chromosome, position (hg38 build), reference allele based on UKB coding, alternate allele based on UKB coding, and their respective LLM embeddings. 
 
+Currently we release datasets at two scale: 
+
+  1. HapMap3 & MEGA (~1.5 million variants, OpenAI GPT-3.5)
+  2. All FAVOR Variants (~9 billion variants, Qwen3-0.6B)
+
+With more to come shortly. 
+
 ### Dataset Schema (OpenAI text-embedding-3-large)
 
 | Field       | Type       | Description |
@@ -22,3 +29,13 @@ Genetic variants are identified with their chromosome, position (hg38 build), re
 | `ref_UKB`   | string     | Reference allele (A, C, G, T) |
 | `alt_UKB`   | string     | Alternate allele (A, C, G, T) |
 | `embedding` | list[float]| Embedding vector (dimension 3072, float32) |
+
+### Dataset Schema (Qwen qwen3-embedding-0.6B)
+
+| Field       | Type       | Description |
+|-------------|------------|-------------|
+| `chrom`     | string     | Chromosome (e.g., `"1"`, `"X"`) |
+| `pos`       |string      | Base-pair position (hg38 coordinate system) |
+| `ref_UKB`   | string     | Reference allele (A, C, G, T) |
+| `alt_UKB`   | string     | Alternate allele (A, C, G, T) |
+| `embedding` | list[float]| Embedding vector (dimension 3072, float32) |