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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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- [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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## 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*.
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