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tyzhu/squad_qa_wrong_num_v5_full_recite_full_passage_first_permute_rerun

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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
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