Update README.md

README.md

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 license: apache-2.0
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+<h1 align="center">
+    MoC: Mixtures of Text Chunking Learners for Retrieval-Augmented Generation System
+</h1>
+<p align="center">
+    <a href="https://arxiv.org/abs/2503.09600">
+        <img alt="arXiv Paper" src="https://img.shields.io/badge/arXiv-Paper-b31b1b.svg?logo=arxiv">
+    </a>
+    <a href="https://huggingface.co/papers/2503.09600">
+        <img src="https://img.shields.io/badge/Huggingface-Paper-yellow?style=flat-square&logo=huggingface">
+    </a>
+    <a href="https://huggingface.co/datasets/Robot2050/Meta-chunker">
+        <img src="https://img.shields.io/badge/Huggingface-Dataset-FF6F00?style=flat-square&logo=huggingface">
+    </a>
+    <a href="https://huggingface.co/Robot2050/Meta-chunker-1.5B">
+        <img src="https://img.shields.io/badge/Model-1.5B 20K-FF6F00?style=flat-square&logo=huggingface">
+    </a>
+    <a href="https://huggingface.co/Robot2050/Meta-chunker-1.5B-60K">
+        <img src="https://img.shields.io/badge/Model-1.5B 60K-FF6F00?style=flat-square&logo=huggingface">
+    </a>
+    <a href="https://opensource.org/license/apache-2-0">
+        <img alt="Apache 2.0 License" src="https://img.shields.io/badge/License-Apache_2.0-green.svg?logo=apache">
+    </a>
+</p>
 
 The Meta-chunker-1.5B was fully fine-tuned on the Qwen2.5-1.5B-Instruct utilizing 20K data entries from the [CRUD_MASK.jsonl](https://huggingface.co/datasets/Robot2050/Meta-chunker/blob/main/CRUD_MASK.jsonl) file, which was prepared with GPT-4o.