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README.md

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 **VocSim** is a large-scale benchmark dataset meticulously crafted to evaluate the generalization capabilities of neural audio embeddings for **zero-shot audio similarity tasks**. It challenges models to recognize fine-grained acoustic similarity between sounds they haven't been explicitly trained to classify together.
 
+**[VocSim Leaderboard 🏆](https://paperswithcode.com/dataset/audiosim)**
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 **Repository:** [GitHub Link - Add Upon DOI]
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 **Paper:** [VocSim: Zero-Shot Audio Similarity Benchmark for Neural Embeddings - Link Upon DOI]()
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 **Point of Contact:** Anonymous Authors (initially)
 
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@@ -77,11 +81,7 @@ Beyond zero-shot similarity, VocSim embeddings can be evaluated on:
 *   Unsupervised Clustering (e.g., using metrics like NMI or ARI).
 *   As input features for downstream supervised classification tasks.
 
-## 🏆 Leaderboard
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-Track the performance of different embedding models on VocSim:
 
-➡️ **[VocSim Leaderboard on Papers With Code](https://paperswithcode.com/dataset/audiosim)** ⬅️
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 ## 💾 Data Format