tyzhu/lmind_nq_train6000_eval6489_v1_docidx
收藏Hugging Face2024-02-06 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/tyzhu/lmind_nq_train6000_eval6489_v1_docidx
下载链接
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资源简介:
---
configs:
- config_name: default
data_files:
- split: train_qa
path: data/train_qa-*
- split: train_ic_qa
path: data/train_ic_qa-*
- split: train_recite_qa
path: data/train_recite_qa-*
- split: eval_qa
path: data/eval_qa-*
- split: eval_ic_qa
path: data/eval_ic_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: 697367
num_examples: 6000
- name: train_ic_qa
num_bytes: 4540536
num_examples: 6000
- name: train_recite_qa
num_bytes: 4546536
num_examples: 6000
- name: eval_qa
num_bytes: 752802
num_examples: 6489
- name: eval_ic_qa
num_bytes: 4906186
num_examples: 6489
- name: eval_recite_qa
num_bytes: 4912675
num_examples: 6489
- name: all_docs
num_bytes: 7126313
num_examples: 10925
- name: all_docs_eval
num_bytes: 7125701
num_examples: 10925
- name: train
num_bytes: 7126313
num_examples: 10925
- name: validation
num_bytes: 7125701
num_examples: 10925
download_size: 30617969
dataset_size: 48860130
---
# Dataset Card for "lmind_nq_train6000_eval6489_v1_docidx"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
配置项:
- 配置名称:default(默认配置)
数据文件列表:
- 拆分:train_qa(训练问答),路径:data/train_qa-*
- 拆分:train_ic_qa(训练上下文问答),路径:data/train_ic_qa-*
- 拆分:train_recite_qa(训练背诵式问答),路径:data/train_recite_qa-*
- 拆分:eval_qa(评估问答),路径:data/eval_qa-*
- 拆分:eval_ic_qa(评估上下文问答),路径:data/eval_ic_qa-*
- 拆分:eval_recite_qa(评估背诵式问答),路径:data/eval_recite_qa-*
- 拆分:all_docs(全量文档),路径:data/all_docs-*
- 拆分:all_docs_eval(评估用全量文档),路径:data/all_docs_eval-*
- 拆分:train(训练集),路径:data/train-*
- 拆分:validation(验证集),路径:data/validation-*
数据集信息:
特征字段:
- 字段:answers(答案),结构体:
- 字段:answer_start(答案起始位置),序列类型:null(空值)
- 字段:text(文本内容),序列类型:string(字符串)
- 字段:inputs(输入内容),数据类型:string(字符串)
- 字段:targets(目标内容),数据类型:string(字符串)
拆分统计:
- 拆分名称:train_qa(训练问答),字节数:697367,样本数:6000
- 拆分名称:train_ic_qa(训练上下文问答),字节数:4540536,样本数:6000
- 拆分名称:train_recite_qa(训练背诵式问答),字节数:4546536,样本数:6000
- 拆分名称:eval_qa(评估问答),字节数:752802,样本数:6489
- 拆分名称:eval_ic_qa(评估上下文问答),字节数:4906186,样本数:6489
- 拆分名称:eval_recite_qa(评估背诵式问答),字节数:4912675,样本数:6489
- 拆分名称:all_docs(全量文档),字节数:7126313,样本数:10925
- 拆分名称:all_docs_eval(评估用全量文档),字节数:7125701,样本数:10925
- 拆分名称:train(训练集),字节数:7126313,样本数:10925
- 拆分名称:validation(验证集),字节数:7125701,样本数:10925
下载总大小:30617969 字节
数据集总占用大小:48860130 字节
# 「lmind_nq_train6000_eval6489_v1_docidx」数据集卡片
[需补充更多信息](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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_ic_qa:data/train_ic_qa-*train_recite_qa:data/train_recite_qa-*eval_qa:data/eval_qa-*eval_ic_qa:data/eval_ic_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-*
- 数据文件路径:
数据集信息
-
特征:
answers:answer_starttext:字符串序列
inputs:字符串targets:字符串
-
数据分割:
train_qa:- 字节数:697367
- 样本数:6000
train_ic_qa:- 字节数:4540536
- 样本数:6000
train_recite_qa:- 字节数:4546536
- 样本数:6000
eval_qa:- 字节数:752802
- 样本数:6489
eval_ic_qa:- 字节数:4906186
- 样本数:6489
eval_recite_qa:- 字节数:4912675
- 样本数:6489
all_docs:- 字节数:7126313
- 样本数:10925
all_docs_eval:- 字节数:7125701
- 样本数:10925
train:- 字节数:7126313
- 样本数:10925
validation:- 字节数:7125701
- 样本数:10925
-
数据集大小:
- 下载大小:30617969 字节
- 数据集大小:48860130 字节



