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tyzhu/lmind_hotpot_train5000_eval5000_v1_doc_qa

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Hugging Face2024-02-03 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/tyzhu/lmind_hotpot_train5000_eval5000_v1_doc_qa
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官方服务:
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: eval_qa path: data/eval_qa-* - split: eval_recite_qa path: data/eval_recite_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: 864508 num_examples: 5000 - name: train_recite_qa num_bytes: 5350190 num_examples: 5000 - name: eval_qa num_bytes: 813536 num_examples: 5000 - name: eval_recite_qa num_bytes: 5394796 num_examples: 5000 - name: all_docs num_bytes: 8524332 num_examples: 18224 - name: all_docs_eval num_bytes: 8523131 num_examples: 18224 - name: train num_bytes: 9388840 num_examples: 23224 - name: validation num_bytes: 813536 num_examples: 5000 download_size: 24315078 dataset_size: 39672869 --- # Dataset Card for "lmind_hotpot_train5000_eval5000_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-*
      • eval_qa: data/eval_qa-*
      • eval_recite_qa: data/eval_recite_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: 字符串类型
    • targets: 字符串类型
    • answers: 结构体类型
      • answer_start: 序列类型(null)
      • text: 字符串序列类型
  • 分割

    • train_qa:
      • 字节数: 864508
      • 样本数: 5000
    • train_recite_qa:
      • 字节数: 5350190
      • 样本数: 5000
    • eval_qa:
      • 字节数: 813536
      • 样本数: 5000
    • eval_recite_qa:
      • 字节数: 5394796
      • 样本数: 5000
    • all_docs:
      • 字节数: 8524332
      • 样本数: 18224
    • all_docs_eval:
      • 字节数: 8523131
      • 样本数: 18224
    • train:
      • 字节数: 9388840
      • 样本数: 23224
    • validation:
      • 字节数: 813536
      • 样本数: 5000
  • 下载大小:24315078 字节

  • 数据集大小:39672869 字节

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