This repository contains the MAPLE benchmark introduced in the WWW 2023 paper "The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study", available at https://arxiv.org/abs/2302.03341. It covers papers from 19 scientific fields for large-scale multi-label scientific paper classification. Please refer to https://github.com/yuzhimanhua/MAPLE for more details on the data format and usage. If you would like to use MAPLE for graph mining tasks (e.g., node classification, link prediction), please refer to the graph format of MAPLE: https://zenodo.org/record/7797563 If you find MAPLE useful, please cite our paper: @inproceedings{zhang2023effect, title={The effect of metadata on scientific literature tagging: A cross-field cross-model study}, author={Zhang, Yu and Jin, Bowen and Zhu, Qi and Meng, Yu and Han, Jiawei}, booktitle={WWW'23}, pages={1626--1637}, year={2023} }