tyzhu/lmind_nq_train5000_eval5000_v1_reciteonly_qa
收藏Hugging Face2024-02-03 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/tyzhu/lmind_nq_train5000_eval5000_v1_reciteonly_qa
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_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: 3790343
num_examples: 5000
- name: validation
num_bytes: 3785337
num_examples: 5000
download_size: 17346716
dataset_size: 28005823
---
# Dataset Card for "lmind_nq_train5000_eval5000_v1_reciteonly_qa"
[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:
- 数据集拆分:train_qa,文件路径:data/train_qa-*
- 数据集拆分:train_recite_qa,文件路径:data/train_recite_qa-*
- 数据集拆分:eval_qa,文件路径:data/eval_qa-*
- 数据集拆分:eval_recite_qa,文件路径:data/eval_recite_qa-*
- 数据集拆分:all_docs,文件路径:data/all_docs-*
- 数据集拆分:all_docs_eval,文件路径:data/all_docs_eval-*
- 数据集拆分:train,文件路径:data/train-*
- 数据集拆分:validation,文件路径:data/validation-*
数据集信息:
特征字段:
- 字段名:answers,结构体:
- 子字段:answer_start,序列类型:null
- 子字段:text,序列类型:字符串
- 字段名:inputs,数据类型:字符串
- 字段名:targets,数据类型:字符串
数据集拆分详情:
- 拆分名称:train_qa,字节数:581636,样本数量:5000
- 拆分名称:train_recite_qa,字节数:3790343,样本数量:5000
- 拆分名称:eval_qa,字节数:580393,样本数量:5000
- 拆分名称:eval_recite_qa,字节数:3785337,样本数量:5000
- 拆分名称:all_docs,字节数:5846467,样本数量:8964
- 拆分名称:all_docs_eval,字节数:5845967,样本数量:8964
- 拆分名称:train,字节数:3790343,样本数量:5000
- 拆分名称:validation,字节数:3785337,样本数量:5000
下载大小:17346716 字节
数据集总大小:28005823 字节
---
# 数据集卡片(Dataset Card):"lmind_nq_train5000_eval5000_v1_reciteonly_qa"
[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
- lmind_nq_train5000_eval5000_v1_reciteonly_qa
数据文件配置
- default 配置
- 数据文件路径:
train_qa:data/train_qa-*train_recite_qa:data/train_recite_qa-*eval_qa:data/eval_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_start: 序列类型为 nulltext: 序列类型为 string
inputs: 数据类型为 stringtargets: 数据类型为 string
-
数据分割:
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: 3790343
- 样本数: 5000
validation:- 字节数: 3785337
- 样本数: 5000
-
数据集大小:
- 下载大小: 17346716 字节
- 数据集大小: 28005823 字节



