tyzhu/lmind_hotpot_train500_eval300_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: 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: 1264385
num_examples: 2094
- name: validation
num_bytes: 324839
num_examples: 300
download_size: 2507316
dataset_size: 4051679
---
# Dataset Card for "lmind_hotpot_train500_eval300_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

• 配置名称: default
• 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: 结构包含
    • 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 1264385，样本数为 2094
  • validation: 字节数为 324839，样本数为 300

• 下载大小: 2507316 字节

• 数据集大小: 4051679 字节