AudreyTrungNguyen/tempBoolq

---
dataset_info:
features:
- name: passage
dtype: string
- name: question
dtype: string
- name: label
dtype: int64
- name: augmentedPassage
dtype: string
- name: augmentedQuestion
dtype: string
- name: loss_List
dtype: float32
- name: groundtruth
dtype: int64
- name: raw_predictions
dtype: int64
splits:
- name: train
num_bytes: 12409295
num_examples: 9427
download_size: 7652198
dataset_size: 12409295
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---

This dataset is primarily used for natural language processing tasks, featuring multiple characteristics such as passages, questions, and labels. The dataset is divided into a training set, providing detailed statistical information including the number of bytes, examples, and the sizes of the dataset and download.

原始信息汇总

数据集概述

数据集特征

• passage: 数据类型为字符串。
• question: 数据类型为字符串。
• label: 数据类型为int64。
• augmentedPassage: 数据类型为字符串。
• augmentedQuestion: 数据类型为字符串。
• loss_List: 数据类型为float32。
• groundtruth: 数据类型为int64。
• raw_predictions: 数据类型为int64。

数据集划分

• train:
  • 数据量: 12409295字节
  • 示例数量: 9427个

数据集大小

• 下载大小: 7652198字节
• 数据集大小: 12409295字节

配置

• config_name: default
  • data_files:
    • split: train
      • path: data/train-*