Update README.md

README.md

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 <a href="https://www.rapidata.ai">
 <img src="https://cdn-uploads.huggingface.co/production/uploads/66f5624c42b853e73e0738eb/jfxR79bOztqaC6_yNNnGU.jpeg" width="400" alt="Dataset visualization">
-</a>
+</a>
+
+This T2I dataset contains over ~22'000 human responses, collected in less than 1h using the [Rapidata Python API](https://docs.rapidata.ai), accessible to anyone and ideal for large scale evaluation.
+Evaluating 12 different image generation models on which one can generate faces more accurately.
+
+The question that the annotators get asked is: "Which Image follows the description of the human better?"
+
+<strong>To evaluate your own models and create leaderboard check out our [MRI](https://docs.rapidata.ai/mri/) </strong>
+
+## The resulting leaderboard
+
+|    | name                              | wins | total_matches | score      |
+|----|-----------------------------------|------|---------------|------------|
+| 0  | bytedance/seedream-3              | 2604 | 4472          | 1123.630000|
+| 1  | qwen/qwen-image                   | 1654 | 2877          | 1110.540000|
+| 2  | recraft-ai/recraft-v3             | 1157 | 2028          | 1105.070000|
+| 3  | minimax/image-01                  | 2726 | 5125          | 1051.620000|
+| 4  | google/imagen-4-fast              | 3205 | 6180          | 1027.690000|
+| 5  | black-forest-labs/flux-1.1-pro    | 1272 | 2650          | 969.560000 |
+| 6  | prunaai/wan-2.2-image             | 1121 | 2344          | 967.050000 |
+| 7  | ideogram-ai/ideogram-v3-balanced  | 2868 | 6170          | 962.890000 |
+| 8  | luma/photon                       | 1839 | 3934          | 955.450000 |
+| 9  | bria/image-3.2                    | 1507 | 3226          | 951.530000 |
+| 10 | luma/photon-flash                 | 1499 | 3529          | 889.910000 |
+| 11 | black-forest-labs/flux-schnell    | 1024 | 2417          | 885.060000 |
+