FS-Mol
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/microsoft/fs-mol
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资源简介：
该数据集名为FS-Mol，专为少样本学习设计，主要关注与测量各类蛋白靶点活性相关的不平衡任务。该数据集包含了233,786种化合物、489,133项测量结果以及5,120项任务，用于比较在少样本学习场景下，不同方法的性能表现。
The dataset, designated FS-Mol, is tailored specifically for few-shot learning, with a primary focus on imbalanced tasks concerning the measurement of activity across various protein targets. It encompasses 233,786 compounds, 489,133 activity measurement records, and 5,120 tasks, and is intended to benchmark the performance of diverse methods in few-shot learning scenarios.
提供机构：
FS-Mol
