five

GleghornLab/RED_annotations

收藏
Hugging Face2024-06-27 更新2025-04-12 收录
下载链接:
https://hf-mirror.com/datasets/GleghornLab/RED_annotations
下载链接
链接失效反馈
官方服务:
资源简介:
--- dataset_info: features: - name: Entry dtype: string - name: Uniprot Entry dtype: string - name: seqs dtype: string - name: EC dtype: string - name: MF dtype: string - name: BP dtype: string - name: CC dtype: string - name: 3D dtype: string - name: IP dtype: string - name: combined sequence: int64 splits: - name: train num_bytes: 444685906 num_examples: 515184 - name: test num_bytes: 837160 num_examples: 1000 - name: test_ec num_bytes: 769269 num_examples: 915 - name: test_cc num_bytes: 835892 num_examples: 997 - name: test_mf num_bytes: 837160 num_examples: 1000 - name: test_bp num_bytes: 837160 num_examples: 1000 - name: test_3d num_bytes: 837160 num_examples: 1000 - name: test_ip num_bytes: 837160 num_examples: 1000 download_size: 389288419 dataset_size: 450476867 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: test_ec path: data/test_ec-* - split: test_cc path: data/test_cc-* - split: test_mf path: data/test_mf-* - split: test_bp path: data/test_bp-* - split: test_3d path: data/test_3d-* - split: test_ip path: data/test_ip-* ---
提供机构:
GleghornLab
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作