Update README.md

README.md

@@ -72,4 +72,49 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+task_categories:
+- text-to-speech
+pretty_name: Text to Audio Human Preference Benchmark
+tags:
+- t2a
+- text-2-audio
+- minimax
+- google-gemini-2.5-pro-tts
+- elevenlabs
+- openai
+- openai-gpt-4o-tts
+- openai-gpt-4o-mini-tts
 ---
+<style>
+.link-container {
+    padding: 10px;
+    text-align: center;
+    border: 1px solid #000000;
+    border-radius: .25rem;
+}
+
+.image{
+  margin:0 auto;
+}
+</style>
+
+# Text to Audio Human Benchmark
+
+<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>
+
+In this dataset, ~32k human responses collected in less than 1h using the [Rapidata Python API](https://docs.rapidata.ai/mri/), accessible to anyone and ideal for large scale evaluation.
+
+The annotators were asked **Which voice is more friendly?** and **Which voice sounds more natural?** respectively. 
+
+
+<br />
+<a href="https://app.rapidata.ai/mri/benchmarks/68ebcd86bd00d9b672b98995">
+    <div class="link-container">
+    <div>
+        Check out the Benchmark!
+    </div>
+        <img class="image" src="https://cdn-uploads.huggingface.co/production/uploads/672b7d79fd1e92e3c3567435/y0_bnDtnTDg0LClZAT-Pi.png" alt="Audio Benchmark">
+    </div>
+</a>