tyzhu/squad_qa_wrong_num_v5_full_recite_full_passage_first_permute_rerun
收藏Hugging Face2024-02-07 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/tyzhu/squad_qa_wrong_num_v5_full_recite_full_passage_first_permute_rerun
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资源简介:
---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
dataset_info:
features:
- name: id
dtype: string
- name: title
dtype: string
- name: context
dtype: string
- name: question
dtype: string
- name: answers
sequence:
- name: text
dtype: string
- name: answer_start
dtype: int32
- name: answer
dtype: string
- name: context_id
dtype: string
- name: correct_id
dtype: string
- name: inputs
dtype: string
- name: targets
dtype: string
splits:
- name: train
num_bytes: 8767142.788690874
num_examples: 4778
- name: validation
num_bytes: 584108
num_examples: 300
download_size: 1757345
dataset_size: 9351250.788690874
---
# Dataset Card for "squad_qa_wrong_num_v5_full_recite_full_passage_first_permute_rerun"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
The README file contains information about the datasets configurations, features, data splits, and sizes. The dataset includes multiple features such as id, title, context, question, answers, etc., covering text and integer types. The dataset is divided into a training set and a validation set, containing 4778 and 300 samples respectively. However, the README file does not provide a detailed description of the dataset, only mentioning the datasets name and a link for more information.
提供机构:
tyzhu
原始信息汇总
数据集概述
数据集名称
- 名称: squad_qa_wrong_num_v5_full_recite_full_passage_first_permute_rerun
数据集配置
- 默认配置: default
数据文件
- 训练集:
- 路径: data/train-*
- 样本数量: 4778
- 字节数: 8767142.788690874
- 验证集:
- 路径: data/validation-*
- 样本数量: 300
- 字节数: 584108
数据集大小
- 下载大小: 1757345 字节
- 数据集大小: 9351250.788690874 字节
数据特征
- id: 字符串
- title: 字符串
- context: 字符串
- question: 字符串
- answers: 序列
- text: 字符串
- answer_start: 整数 (int32)
- answer: 字符串
- context_id: 字符串
- correct_id: 字符串
- inputs: 字符串
- targets: 字符串



