README.md

metadata

license: mit
task_categories:
  - question-answering
language:
  - en
  - zh
tags:
  - human-behavior
  - social-media
size_categories:
  - 10K<n<100K

FineRob - Fine-Grained Social Media Behavior Simulation Dataset

Paper

https://arxiv.org/abs/2412.03148

Github

https://github.com/linkseed18612254945/FineRob

Table of Contents

• Overview
• Dataset Description
• Download
• Introduction

Overview

Finerob is a novel fine-grained user behavior simulation dataset collected from three social media platform: X(Twitter), Reddit, Zhihu. The dataset is design to evalute the role-play capacity of LLMs through three differnet action elements simulation.

Dataset Description

• Name: Finerob
• Purpose: Social media user behavior simulation by role-playing LLMs.
• Form: multiple-choice QA.
• Size: 78.6k fine-grained behavior QA records from 1,866 users.
• Language: English, Chinese.

Introduction

We collect 78.6k fine-grained user behavior prediction QA data from 1866 users on social medias(including Twitter, Reddit and Zhihu)

You can find the detailed user infomation in platform_user_info.json through the user_index.

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.