five

atmallen/qm_mixture_1.0e

收藏
Hugging Face2023-11-16 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/atmallen/qm_mixture_1.0e
下载链接
链接失效反馈
官方服务:
资源简介:
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* dataset_info: features: - name: alice_label dtype: bool - name: bob_label dtype: bool - name: difficulty dtype: int64 - name: statement dtype: string - name: choices sequence: string - name: character dtype: string - name: label dtype: class_label: names: '0': 'False' '1': 'True' splits: - name: train num_bytes: 44733311 num_examples: 400000 - name: validation num_bytes: 4508863 num_examples: 40000 - name: test num_bytes: 4496765 num_examples: 40000 download_size: 0 dataset_size: 53738939 --- # Dataset Card for "qm_mixture_1.0e" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

The dataset includes multiple configurations and data files, divided into training, validation, and test sets. The features of the dataset include boolean types alice_label and bob_label, integer type difficulty, string types statement and character, and string sequence choices. The label label is a classification label with False and True categories. The sizes and number of samples for each split (train, validation, test) are also detailed.
提供机构:
atmallen
原始信息汇总

数据集概述

配置

  • 默认配置
    • 训练集:路径为 data/train-*
    • 验证集:路径为 data/validation-*
    • 测试集:路径为 data/test-*

数据集信息

  • 特征

    • alice_label:布尔型
    • bob_label:布尔型
    • difficulty:64位整型
    • statement:字符串型
    • choices:字符串序列
    • character:字符串型
    • label:分类标签,包含两个类别:
      • 0:False
      • 1:True
  • 数据集划分

    • 训练集
      • 字节数:44733311
      • 样本数:400000
    • 验证集
      • 字节数:4508863
      • 样本数:40000
    • 测试集
      • 字节数:4496765
      • 样本数:40000
  • 数据集大小

    • 下载大小:0
    • 数据集总大小:53738939
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