Update README.md

README.md

@@ -370,15 +370,7 @@ The filtering process is based on three key metrics:
 
 ## Dataset Configurations
 
-| Configuration | Size | Description |
-|---------------|------|-------------|
-| `FiFA-500` | 500 triplets | Small subset for quick experiments |
-| `FiFA-1k` | 1,000 triplets | Lightweight training set |
-| `FiFA-5k` | 5,000 triplets | Medium-sized training set |
-| `FiFA-10k` | 10,000 triplets | Standard training set |
-| `FiFA-20k` | 20,000 triplets | Large training set |
-| `FiFA-50k` | 50,000 triplets | Extended training set |
-| `FiFA-100k` | 100,000 triplets | Full-scale training set |
+This dataset provides several configurations, each corresponding to a different number of filtered triplets selected by the automated FiFA algorithm. You can choose from `FiFA-500`, `FiFA-1k`, `FiFA-5k`, `FiFA-10k`, `FiFA-20k`, `FiFA-50k`, and `FiFA-100k`, depending on your needs. The only difference between these configurations is the number of examples included; all are filtered using the same FiFA method. We recommend using the `FiFA-5k` configuration as the default, as it generally works best for Stable Diffusion training.
 
 ## Quick Start
 
@@ -416,6 +408,7 @@ Each example contains:
 - `jpg_0`: First image (bytes)
 - `jpg_1`: Second image (bytes)
 - `label_0`: Binary label (0 or 1) indicating which image is preferred
+- `__index_level_0__` : Unique ID for each data point
 
 ## Citation