tyzhu/lmind_hotpot_train8000_eval7405_v1_recite_qa

---
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: 21055870
num_examples: 34854
- name: validation
num_bytes: 7941487
num_examples: 7405
download_size: 0
dataset_size: 89557313
---
# Dataset Card for "lmind_hotpot_train8000_eval7405_v1_recite_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：包含多个数据文件，分为不同的拆分（split）和路径（path）：
  • train_qa：路径为 data/train_qa-*
  • train_recite_qa：路径为 data/train_recite_qa-*
  • train_ic_qa：路径为 data/train_ic_qa-*
  • eval_qa：路径为 data/eval_qa-*
  • eval_recite_qa：路径为 data/eval_recite_qa-*
  • eval_ic_qa：路径为 data/eval_ic_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：结构包含：
    • answer_start：序列类型为 null
    • text：序列类型为 string

• 拆分：

  • train_qa：字节数为 1,380,987，样本数为 8,000
  • train_recite_qa：字节数为 8,547,861，样本数为 8,000
  • train_ic_qa：字节数为 8,539,861，样本数为 8,000
  • eval_qa：字节数为 1,201,450，样本数为 7,405
  • eval_recite_qa：字节数为 7,941,487，样本数为 7,405
  • eval_ic_qa：字节数为 7,934,082，样本数为 7,405
  • all_docs：字节数为 12,508,009，样本数为 26,854
  • all_docs_eval：字节数为 12,506,219，样本数为 26,854
  • train：字节数为 21,055,870，样本数为 34,854
  • validation：字节数为 7,941,487，样本数为 7,405

• 数据集大小：

  • 下载大小：0 字节
  • 数据集大小：89,557,313 字节