tyzhu/lmind_nq_train5000_eval5000_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: answers
struct:
- name: answer_start
sequence: 'null'
- name: text
sequence: string
- name: inputs
dtype: string
- name: targets
dtype: string
splits:
- name: train_qa
num_bytes: 581636
num_examples: 5000
- name: train_recite_qa
num_bytes: 3790343
num_examples: 5000
- name: eval_qa
num_bytes: 580393
num_examples: 5000
- name: eval_recite_qa
num_bytes: 3785337
num_examples: 5000
- name: all_docs
num_bytes: 5846467
num_examples: 8964
- name: all_docs_eval
num_bytes: 5845967
num_examples: 8964
- name: train
num_bytes: 9636810
num_examples: 13964
- name: validation
num_bytes: 3785337
num_examples: 5000
download_size: 21016479
dataset_size: 33852290
---
# Dataset Card for "lmind_nq_train5000_eval5000_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 data/train_qa-*
  • train_recite_qa: 路径 data/train_recite_qa-*
  • eval_qa: 路径 data/eval_qa-*
  • eval_recite_qa: 路径 data/eval_recite_qa-*
  • all_docs: 路径 data/all_docs-*
  • all_docs_eval: 路径 data/all_docs_eval-*
  • train: 路径 data/train-*
  • validation: 路径 data/validation-*

数据集信息

• 特征:

  • answers:
    • answer_start: 序列类型 null
    • text: 序列类型 string
  • inputs: 数据类型 string
  • targets: 数据类型 string

• 分割:

  • train_qa: 字节数 581636, 样本数 5000
  • train_recite_qa: 字节数 3790343, 样本数 5000
  • eval_qa: 字节数 580393, 样本数 5000
  • eval_recite_qa: 字节数 3785337, 样本数 5000
  • all_docs: 字节数 5846467, 样本数 8964
  • all_docs_eval: 字节数 5845967, 样本数 8964
  • train: 字节数 9636810, 样本数 13964
  • validation: 字节数 3785337, 样本数 5000

• 下载大小: 21016479 字节

• 数据集大小: 33852290 字节