tyzhu/lmind_nq_train10000_eval6489_v1_doc
收藏Hugging Face2024-02-05 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/tyzhu/lmind_nq_train10000_eval6489_v1_doc
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: 1159729
num_examples: 10000
- name: train_recite_qa
num_bytes: 7573876
num_examples: 10000
- name: eval_qa
num_bytes: 752802
num_examples: 6489
- name: eval_recite_qa
num_bytes: 4912675
num_examples: 6489
- name: all_docs
num_bytes: 9144930
num_examples: 14014
- name: all_docs_eval
num_bytes: 9144126
num_examples: 14014
- name: train
num_bytes: 9144930
num_examples: 14014
- name: validation
num_bytes: 9144930
num_examples: 14014
download_size: 31863130
dataset_size: 50977998
---
# Dataset Card for "lmind_nq_train10000_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(config_name):default
数据文件:
- 数据集拆分(split):train_qa,路径(path):data/train_qa-*
- 数据集拆分(split):train_recite_qa,路径:data/train_recite_qa-*
- 数据集拆分(split):eval_qa,路径:data/eval_qa-*
- 数据集拆分(split):eval_recite_qa,路径:data/eval_recite_qa-*
- 数据集拆分(split):all_docs,路径:data/all_docs-*
- 数据集拆分(split):all_docs_eval,路径:data/all_docs_eval-*
- 数据集拆分(split):train,路径:data/train-*
- 数据集拆分(split):validation,路径:data/validation-*
数据集信息(dataset_info):
特征(features):
- 字段名:answers,为结构体(struct):
- 字段名:answer_start,序列(sequence)类型为null
- 字段名:text,序列(sequence)类型为字符串(string)
- 字段名:inputs,数据类型(dtype)为字符串
- 字段名:targets,数据类型(dtype)为字符串
数据集拆分详情:
- 拆分名称:train_qa,字节数(num_bytes):1159729,样本数(num_examples):10000
- 拆分名称:train_recite_qa,字节数:7573876,样本数:10000
- 拆分名称:eval_qa,字节数:752802,样本数:6489
- 拆分名称:eval_recite_qa,字节数:4912675,样本数:6489
- 拆分名称:all_docs,字节数:9144930,样本数:14014
- 拆分名称:all_docs_eval,字节数:9144126,样本数:14014
- 拆分名称:train,字节数:9144930,样本数:14014
- 拆分名称:validation,字节数:9144930,样本数:14014
下载大小(download_size):31863130
数据集总大小(dataset_size):50977998
---
# 「lmind_nq_train10000_eval6489_v1_doc」数据集卡片(Dataset Card)
[更多信息待补充](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_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
-
分割:
train_qa:- 字节数:1159729
- 样本数:10000
train_recite_qa:- 字节数:7573876
- 样本数:10000
eval_qa:- 字节数:752802
- 样本数:6489
eval_recite_qa:- 字节数:4912675
- 样本数:6489
all_docs:- 字节数:9144930
- 样本数:14014
all_docs_eval:- 字节数:9144126
- 样本数:14014
train:- 字节数:9144930
- 样本数:14014
validation:- 字节数:9144930
- 样本数:14014
-
下载大小:31863130 字节
-
数据集大小:50977998 字节



