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README.md

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-[![Code License](https://img.shields.io/badge/Code%20License-MIT-green.svg)](https://github.com/zjunlp/ChatCell/blob/main/LICENSE)
-[![Data License](https://img.shields.io/badge/Data%20License-CC%20BY%204.0-red.svg)](https://github.com/zjunlp/ChatCell/blob/main/DATA_LICENSE)
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 <h2 align="center"> ChatCell: Facilitating Single-Cell Analysis with Natural Language </h2>
 
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 <b>ChatCell</b> allows researchers to input instructions in either natural or single-cell language, thereby facilitating the execution of necessary tasks in single-cell analysis. Black and red texts denote human and single-cell language, respectively.
 
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 Random cell sentence generation challenges the model to create cell sentences devoid of predefined biological conditions or constraints. This task aims to evaluate the model's ability to generate valid and contextually appropriate cell sentences, potentially simulating natural variations in cellular behavior. 
 
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 - <b>Cell Type Annotation.</b>
 For cell type annotation, the model is tasked with precisely classifying cells into their respective types based on gene expression patterns encapsulated in cell sentences. This task is fundamental for understanding cellular functions and interactions within tissues and organs, playing a crucial role in developmental biology and regenerative medicine.
 
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 - <b>Drug Sensitivity Prediction.</b>
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 <h2 id="3">🛠️ Quickstart</h2>