tyzhu/lmind_nq_train6000_eval6489_v1_doc
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_doc
下载链接
链接失效反馈官方服务:
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: 7126313
num_examples: 10925
download_size: 30529604
dataset_size: 48860742
---
# Dataset Card for "lmind_nq_train6000_eval6489_v1_doc"
[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
数据文件:
- 拆分集:train_qa,路径:data/train_qa-*
- 拆分集:train_ic_qa,路径:data/train_ic_qa-*
- 拆分集:train_recite_qa,路径:data/train_recite_qa-*
- 拆分集:eval_qa,路径:data/eval_qa-*
- 拆分集:eval_ic_qa,路径:data/eval_ic_qa-*
- 拆分集:eval_recite_qa,路径:data/eval_recite_qa-*
- 拆分集:all_docs,路径:data/all_docs-*
- 拆分集:all_docs_eval,路径:data/all_docs_eval-*
- 拆分集:train,路径:data/train-*
- 拆分集:validation,路径:data/validation-*
数据集信息:
数据特征:
- 字段:answers,为结构体类型,包含子字段:
- answer_start:序列类型,元素为空值
- text:序列类型,元素为字符串
- 字段:inputs:数据类型为字符串
- 字段:targets:数据类型为字符串
拆分集详情:
- 拆分集名称:train_qa,字节数:697367,样本量:6000
- 拆分集名称:train_ic_qa,字节数:4540536,样本量:6000
- 拆分集名称:train_recite_qa,字节数:4546536,样本量:6000
- 拆分集名称:eval_qa,字节数:752802,样本量:6489
- 拆分集名称:eval_ic_qa,字节数:4906186,样本量:6489
- 拆分集名称:eval_recite_qa,字节数:4912675,样本量:6489
- 拆分集名称:all_docs,字节数:7126313,样本量:10925
- 拆分集名称:all_docs_eval,字节数:7125701,样本量:10925
- 拆分集名称:train,字节数:7126313,样本量:10925
- 拆分集名称:validation,字节数:7126313,样本量:10925
下载总大小:30529604 字节,数据集总占用大小:48860742 字节
---
# "lmind_nq_train6000_eval6489_v1_doc" 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
数据集名称
- 名称: lmind_nq_train6000_eval6489_v1_doc
数据集配置
- 默认配置: default
数据文件
- 训练数据:
- train_qa: 路径为
data/train_qa-* - train_ic_qa: 路径为
data/train_ic_qa-* - train_recite_qa: 路径为
data/train_recite_qa-* - train: 路径为
data/train-*
- train_qa: 路径为
- 评估数据:
- eval_qa: 路径为
data/eval_qa-* - eval_ic_qa: 路径为
data/eval_ic_qa-* - eval_recite_qa: 路径为
data/eval_recite_qa-* - validation: 路径为
data/validation-*
- eval_qa: 路径为
- 文档数据:
- all_docs: 路径为
data/all_docs-* - all_docs_eval: 路径为
data/all_docs_eval-*
- all_docs: 路径为
数据集信息
- 特征:
- answers:
- answer_start: 序列类型为 null
- text: 序列类型为 string
- inputs: 数据类型为 string
- targets: 数据类型为 string
- answers:
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: 7126313
- 样本数: 10925
数据集大小
- 下载大小: 30529604 字节
- 数据集大小: 48860742 字节



