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--- |
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license: mit |
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task_categories: |
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- question-answering |
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language: |
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- en |
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- zh |
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tags: |
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- human-behavior |
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- social-media |
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size_categories: |
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- 10K<n<100K |
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--- |
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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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## Paper |
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https://arxiv.org/abs/2412.03148 |
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## Github |
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https://github.com/linkseed18612254945/FineRob |
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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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The dataset is design to evalute the role-play capacity of LLMs through three differnet action elements simulation. |
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<p align="center"> |
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<img center src="https://i.postimg.cc/rsy7wK7v/Fine-Rob-Example.png" alt="example"> |
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</p> |
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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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*history_index* means the behavior index in user's complete timelines, basicly, you should predict this behavior by the history. The history_index 0 means it is the first behavior of the user. |
