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README.md

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 ## i-CIR Dataset (Hugging Face)
 
+[**website**](https://vrg.fel.cvut.cz/icir/)  |  [**arxiv**](https://arxiv.org/pdf/2510.25387) |  [**github**](https://github.com/billpsomas/icir)
+
 ### About
 **i-CIR (Instance-Level Composed Image Retrieval)** is a curated benchmark for **composed image retrieval** where each *instance* corresponds to a specific, visually indistinguishable object (e.g., a particular landmark). Each query combines an **image of the instance** with a **text modification**, and retrieval is evaluated against a database containing **rich hard negatives** (visual / textual / compositional).
 
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 - **Avg database size / query:** ~3.7K images  
 - Includes challenging hard negatives per instance.
 
-[**website**](https://vrg.fel.cvut.cz/icir/)  |  [**arxiv**](https://arxiv.org/pdf/2510.25387) |  [**github**](https://github.com/billpsomas/icir)
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 ### Dataset Structure