tyzhu/lmind_hotpot_train1000_eval500_v1_recite_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_hotpot_train1000_eval500_v1_recite_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: inputs
dtype: string
- name: targets
dtype: string
- name: answers
struct:
- name: answer_start
sequence: 'null'
- name: text
sequence: string
splits:
- name: train_qa
num_bytes: 173266
num_examples: 1000
- name: train_recite_qa
num_bytes: 1052784
num_examples: 1000
- name: eval_qa
num_bytes: 81677
num_examples: 500
- name: eval_recite_qa
num_bytes: 542914
num_examples: 500
- name: all_docs
num_bytes: 1370698
num_examples: 2959
- name: all_docs_eval
num_bytes: 1370509
num_examples: 2959
- name: train
num_bytes: 2423482
num_examples: 3959
- name: validation
num_bytes: 542914
num_examples: 500
download_size: 4626743
dataset_size: 7558244
---
# Dataset Card for "lmind_hotpot_train1000_eval500_v1_recite_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:
- 数据集划分:train_qa,路径:data/train_qa-*
- 数据集划分:train_recite_qa,路径:data/train_recite_qa-*
- 数据集划分:eval_qa,路径:data/eval_qa-*
- 数据集划分:eval_recite_qa,路径:data/eval_recite_qa-*
- 数据集划分:all_docs,路径:data/all_docs-*
- 数据集划分:all_docs_eval,路径:data/all_docs_eval-*
- 数据集划分:train,路径:data/train-*
- 数据集划分:validation,路径:data/validation-*
### 数据集信息
特征字段:
- 字段名:inputs,数据类型:字符串
- 字段名:targets,数据类型:字符串
- 字段名:answers,结构体:
- 字段名:answer_start,序列类型:空值
- 字段名:text,序列类型:字符串
数据集划分详情:
- 划分名称:train_qa,字节数:173266,样本数量:1000
- 划分名称:train_recite_qa,字节数:1052784,样本数量:1000
- 划分名称:eval_qa,字节数:81677,样本数量:500
- 划分名称:eval_recite_qa,字节数:542914,样本数量:500
- 划分名称:all_docs,字节数:1370698,样本数量:2959
- 划分名称:all_docs_eval,字节数:1370509,样本数量:2959
- 划分名称:train,字节数:2423482,样本数量:3959
- 划分名称:validation,字节数:542914,样本数量:500
下载总大小:4626743
数据集总占用大小:7558244
---
# 数据集卡片(Dataset Card):"lmind_hotpot_train1000_eval500_v1_recite_qa"
[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:
inputs: 字符串类型targets: 字符串类型answers: 结构体类型answer_start: 序列类型(null)text: 字符串序列类型
-
分割:
train_qa:- 字节数: 173266
- 样本数: 1000
train_recite_qa:- 字节数: 1052784
- 样本数: 1000
eval_qa:- 字节数: 81677
- 样本数: 500
eval_recite_qa:- 字节数: 542914
- 样本数: 500
all_docs:- 字节数: 1370698
- 样本数: 2959
all_docs_eval:- 字节数: 1370509
- 样本数: 2959
train:- 字节数: 2423482
- 样本数: 3959
validation:- 字节数: 542914
- 样本数: 500
-
下载大小:4626743 字节
-
数据集大小:7558244 字节



