Update README.md

README.md

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 <img src="https://cdn-uploads.huggingface.co/production/uploads/66f5624c42b853e73e0738eb/jfxR79bOztqaC6_yNNnGU.jpeg" width="400" alt="Dataset visualization">
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-This T2I dataset contains over 195k human responses from over 38k individual annotators, collected in just ~1 Day using the [Rapidata Python API](https://docs.rapidata.ai), accessible to anyone and ideal for large scale evaluation.
+This T2I dataset contains over 195k human responses from over 70k individual annotators, collected in just ~1 Day using the [Rapidata Python API](https://docs.rapidata.ai), accessible to anyone and ideal for large scale evaluation.
 Evaluating Imagen 4(imagen-4.0-ultra-generate-exp-05-20) across three categories: preference, coherence, and alignment.
 
 Explore our latest model rankings on our [website](https://www.rapidata.ai/benchmark).
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 ## Overview
 
-This T2I dataset contains over 195k human responses from over 38k individual annotators, collected in just ~1 Day.
+This T2I dataset contains over 195k human responses from over 70k individual annotators, collected in just ~1 Day.
 Evaluating Imagen 4(imagen-4.0-ultra-generate-exp-05-20) across three categories: preference, coherence, and alignment.
 
 The evaluation consists of 1v1 comparisons between Imagen 4(imagen-4.0-ultra-generate-exp-05-20) and 14 other models: Hidream I1 full, Halfmoon-4-4-2025, OpenAI 4o-26-3-25, Ideogram V2, Recraft V2, Lumina-15-2-25, Frames-23-1-25, Imagen-3, Flux-1.1-pro, Flux-1-pro, DALL-E 3, Midjourney-5.2, Stable Diffusion 3, Aurora and Janus-7b.