tyzhu/lmind_hotpot_train500_eval300_v1_reciteonly_qa

---
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: 84812
num_examples: 500
- name: train_recite_qa
num_bytes: 525773
num_examples: 500
- name: eval_qa
num_bytes: 49916
num_examples: 300
- name: eval_recite_qa
num_bytes: 324839
num_examples: 300
- name: all_docs
num_bytes: 738612
num_examples: 1594
- name: all_docs_eval
num_bytes: 738503
num_examples: 1594
- name: train
num_bytes: 525773
num_examples: 500
- name: validation
num_bytes: 324839
num_examples: 300
download_size: 2063107
dataset_size: 3313067
---
# Dataset Card for "lmind_hotpot_train500_eval300_v1_reciteonly_qa"

[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

原始信息汇总

数据集概述

数据集配置

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

数据集信息

• 特征：

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

• 分割：

  • train_qa：字节数为 84812，样本数为 500
  • train_recite_qa：字节数为 525773，样本数为 500
  • eval_qa：字节数为 49916，样本数为 300
  • eval_recite_qa：字节数为 324839，样本数为 300
  • all_docs：字节数为 738612，样本数为 1594
  • all_docs_eval：字节数为 738503，样本数为 1594
  • train：字节数为 525773，样本数为 500
  • validation：字节数为 324839，样本数为 300

• 数据集大小：

  • 下载大小：2063107 字节
  • 数据集大小：3313067 字节