tyzhu/lmind_nq_train1000_eval500_v1_reciteonly_qa
收藏Hugging Face2024-02-02 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/tyzhu/lmind_nq_train1000_eval500_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: 115608
num_examples: 1000
- name: train_recite_qa
num_bytes: 755758
num_examples: 1000
- name: eval_qa
num_bytes: 58285
num_examples: 500
- name: eval_recite_qa
num_bytes: 377880
num_examples: 500
- name: all_docs
num_bytes: 950316
num_examples: 1462
- name: all_docs_eval
num_bytes: 950216
num_examples: 1462
- name: train
num_bytes: 755758
num_examples: 1000
- name: validation
num_bytes: 377880
num_examples: 500
download_size: 2713438
dataset_size: 4341701
---
# Dataset Card for "lmind_nq_train1000_eval500_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,路径:data/train_qa-*
- 数据集拆分:train_recite_qa,路径:data/train_recite_qa-*
- 数据集拆分:eval_qa,路径:data/eval_qa-*
- 数据集拆分:eval_recite_qa,路径:data/eval_recite_qa-*
- 数据集拆分:all_docs,路径:data/all_docs-*
- 数据集拆分:all_docs_eval,路径:data/all_docs_eval-*
- 数据集拆分:train,路径:data/train-*
- 数据集拆分:validation,路径:data/validation-*
数据集信息:
特征字段:
- 字段名:answers,结构体:
- 子字段名:answer_start(答案起始位置),类型:空值序列
- 子字段名:text(答案文本),类型:字符串序列
- 字段名:inputs(输入),数据类型:字符串
- 字段名:targets(目标),数据类型:字符串
数据集拆分详情:
- 拆分名称:train_qa,字节大小:115608,样本数量:1000
- 拆分名称:train_recite_qa,字节大小:755758,样本数量:1000
- 拆分名称:eval_qa,字节大小:58285,样本数量:500
- 拆分名称:eval_recite_qa,字节大小:377880,样本数量:500
- 拆分名称:all_docs,字节大小:950316,样本数量:1462
- 拆分名称:all_docs_eval,字节大小:950216,样本数量:1462
- 拆分名称:train,字节大小:755758,样本数量:1000
- 拆分名称:validation,字节大小:377880,样本数量:500
下载总大小:2713438,数据集总存储大小:4341701
---
# 「lmind_nq_train1000_eval500_v1_reciteonly_qa」数据集卡片
[更多信息请补充](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
-
数据分割:
train_qa:- 字节数: 115608
- 样本数: 1000
train_recite_qa:- 字节数: 755758
- 样本数: 1000
eval_qa:- 字节数: 58285
- 样本数: 500
eval_recite_qa:- 字节数: 377880
- 样本数: 500
all_docs:- 字节数: 950316
- 样本数: 1462
all_docs_eval:- 字节数: 950216
- 样本数: 1462
train:- 字节数: 755758
- 样本数: 1000
validation:- 字节数: 377880
- 样本数: 500
-
数据集大小:
- 下载大小: 2713438 字节
- 数据集大小: 4341701 字节



