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tyzhu/lmind_hotpot_train8000_eval7405_v1_doc_qa

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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/lmind_hotpot_train8000_eval7405_v1_doc_qa
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资源简介:
--- configs: - config_name: default data_files: - split: train_qa path: data/train_qa-* - split: train_recite_qa path: data/train_recite_qa-* - split: train_ic_qa path: data/train_ic_qa-* - split: eval_qa path: data/eval_qa-* - split: eval_recite_qa path: data/eval_recite_qa-* - split: eval_ic_qa path: data/eval_ic_qa-* - split: all_docs path: data/all_docs-* - split: all_docs_eval path: data/all_docs_eval-* - split: train path: data/train-* - split: validation path: data/validation-* dataset_info: features: - name: inputs dtype: string - name: targets dtype: string - name: answers struct: - name: answer_start sequence: 'null' - name: text sequence: string splits: - name: train_qa num_bytes: 1380987 num_examples: 8000 - name: train_recite_qa num_bytes: 8547861 num_examples: 8000 - name: train_ic_qa num_bytes: 8539861 num_examples: 8000 - name: eval_qa num_bytes: 1201450 num_examples: 7405 - name: eval_recite_qa num_bytes: 7941487 num_examples: 7405 - name: eval_ic_qa num_bytes: 7934082 num_examples: 7405 - name: all_docs num_bytes: 12508009 num_examples: 26854 - name: all_docs_eval num_bytes: 12506219 num_examples: 26854 - name: train num_bytes: 13888996 num_examples: 34854 - name: validation num_bytes: 1201450 num_examples: 7405 download_size: 0 dataset_size: 75650402 --- # Dataset Card for "lmind_hotpot_train8000_eval7405_v1_doc_qa" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
提供机构:
tyzhu
原始信息汇总

数据集概述

数据集配置

  • 默认配置
    • 数据文件路径:
      • train_qa: data/train_qa-*
      • train_recite_qa: data/train_recite_qa-*
      • train_ic_qa: data/train_ic_qa-*
      • eval_qa: data/eval_qa-*
      • eval_recite_qa: data/eval_recite_qa-*
      • eval_ic_qa: data/eval_ic_qa-*
      • all_docs: data/all_docs-*
      • all_docs_eval: data/all_docs_eval-*
      • train: data/train-*
      • validation: data/validation-*

数据集信息

  • 特征

    • inputs: 数据类型为 string
    • targets: 数据类型为 string
    • answers: 结构包含:
      • answer_start: 序列类型为 null
      • text: 序列类型为 string
  • 数据分割

    • train_qa: 字节数为 1380987,样本数为 8000
    • train_recite_qa: 字节数为 8547861,样本数为 8000
    • train_ic_qa: 字节数为 8539861,样本数为 8000
    • eval_qa: 字节数为 1201450,样本数为 7405
    • eval_recite_qa: 字节数为 7941487,样本数为 7405
    • eval_ic_qa: 字节数为 7934082,样本数为 7405
    • all_docs: 字节数为 12508009,样本数为 26854
    • all_docs_eval: 字节数为 12506219,样本数为 26854
    • train: 字节数为 13888996,样本数为 34854
    • validation: 字节数为 1201450,样本数为 7405
  • 数据集大小

    • 下载大小:0 字节
    • 数据集大小:75650402 字节
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