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tyzhu/lmind_hotpot_train5000_eval5000_v1_doc

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Hugging Face2024-02-03 更新2024-03-04 收录
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https://hf-mirror.com/datasets/tyzhu/lmind_hotpot_train5000_eval5000_v1_doc
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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: 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: 8524332 num_examples: 18224 - name: validation num_bytes: 8524332 num_examples: 18224 download_size: 28418740 dataset_size: 46519157 --- # Dataset Card for "lmind_hotpot_train5000_eval5000_v1_doc" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

The dataset includes multiple configurations, each with different data file paths and types. The features of the dataset include inputs, targets, and answers, where the answers feature contains the answer start position and text. The dataset is divided into multiple parts, including training and evaluation parts, each with specific byte counts and example numbers. The total download size and actual size of the dataset are also clearly recorded.
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: 数据类型为 string
    • targets: 数据类型为 string
    • answers: 结构化数据,包含以下字段:
      • answer_start: 序列类型为 null
      • text: 序列类型为 string
  • 数据分割

    • 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: 8524332
      • 样本数: 18224
    • validation:
      • 字节数: 8524332
      • 样本数: 18224
  • 数据集大小

    • 下载大小: 28418740 字节
    • 数据集大小: 46519157 字节
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