MindReader

displayName: MindReader
license:
- MindReader Custom
paperUrl: https://arxiv.org/pdf/2106.04209v1.pdf
publishDate: "2020"
publishUrl: https://mindreader.tech/dataset/
publisher:
- Aalborg University
tags:
- Movie
- Score

---
# 数据集介绍
## 简介
MindReader 是一个新颖的数据集，可在电影领域的知识图谱上提供明确的用户评分。该数据集的最新稳定版本包含来自 12,206 个实体实体的 2,316 个用户的 218,794 个评分，以及由 18,133 个电影相关实体组成的相关知识图谱。该数据集是从在线电影推荐游戏 MindReader 中收集的，其中伪随机地要求用户提供电影和非电影实体（例如，流派、演员和导演）的偏好。对于每个实体，用户可以喜欢它、不喜欢它，或者说他们不知道它。

## Download dataset
:modelscope-code[]{type="git"}

displayName: MindReader
license:
- MindReader Custom
paperUrl: https://arxiv.org/pdf/2106.04209v1.pdf
publishDate: "2020"
publishUrl: https://mindreader.tech/dataset/
publisher:
- Aalborg University
tags:
- Movie
- Score

---

# Dataset Introduction
## Overview
MindReader is a novel dataset that provides explicit user ratings over movie-domain knowledge graphs. The latest stable version of this dataset contains 218,794 explicit user ratings from 2,316 users across 12,206 entities, along with a corresponding knowledge graph consisting of 18,133 movie-related entities. This dataset is collected from the online movie recommendation game MindReader, where users are pseudo-randomly asked to provide their preferences over movie and non-movie entities (e.g., genres, actors, and directors). For each entity, users can indicate that they like it, dislike it, or state that they have no knowledge of it.

## Download Dataset
:modelscope-code[]{type="git"}