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- ## Fine-Grained Behavior Simulation with Role-Playing Large Language Model on Social Media
 
 
 
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  We collect 78.6k fine-grained user behavior prediction QA data from 1866 users on social medias(including Twitter, Reddit and Zhihu)
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  You can find the detailed user infomation in *platform_user_info.json* through the *user_index*.
 
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+ <p align="center">
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+ <img center src="https://i.postimg.cc/NjXSwQvY/FineRob.png" width = "150" alt="logo">
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+ </p>
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+ <h2 align="center">FineRob - Fine-Grained Social Media Behavior Simulation Dataset</h2>
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+ ## Table of Contents
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+
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+ - [Overview](#overview)
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+ - [Dataset Description](#dataset-description)
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+ - [Download](#Download)
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+ - [Introduction](#Introduction)
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+ -
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+ ## Overview
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+ **Finerob** is a novel fine-grained user behavior simulation dataset collected from three social media platform: X(Twitter), Reddit, Zhihu.
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+ ## Dataset Description
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+ - **Name**: Finerob
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+ - **Purpose**: Social media user behavior simulation by role-playing LLMs.
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+ - **Form**: multiple-choice QA.
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+ - **Size**: 78.6k fine-grained behavior QA records from 1,866 users.
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+ - **Language**: English, Chinese.
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+ ## Introduction
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  We collect 78.6k fine-grained user behavior prediction QA data from 1866 users on social medias(including Twitter, Reddit and Zhihu)
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  You can find the detailed user infomation in *platform_user_info.json* through the *user_index*.