tyzhu/lmind_hotpot_train8000_eval7405_v1_doc
收藏Hugging Face2024-02-07 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/tyzhu/lmind_hotpot_train8000_eval7405_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_recite_qa
path: data/train_recite_qa-*
- split: train_ic_qa
path: data/train_ic_qa-*
- split: eval_qa
path: data/eval_qa-*
- split: eval_recite_qa
path: data/eval_recite_qa-*
- split: eval_ic_qa
path: data/eval_ic_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: 1380987
num_examples: 8000
- name: train_recite_qa
num_bytes: 8547861
num_examples: 8000
- name: train_ic_qa
num_bytes: 8539861
num_examples: 8000
- name: eval_qa
num_bytes: 1201450
num_examples: 7405
- name: eval_recite_qa
num_bytes: 7941487
num_examples: 7405
- name: eval_ic_qa
num_bytes: 7934082
num_examples: 7405
- name: all_docs
num_bytes: 12508009
num_examples: 26854
- name: all_docs_eval
num_bytes: 12506219
num_examples: 26854
- name: train
num_bytes: 12508009
num_examples: 26854
- name: validation
num_bytes: 12508009
num_examples: 26854
download_size: 0
dataset_size: 85575974
---
# Dataset Card for "lmind_hotpot_train8000_eval7405_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:
- 数据拆分:train_qa,路径:data/train_qa-*
- 数据拆分:train_recite_qa,路径:data/train_recite_qa-*
- 数据拆分:train_ic_qa,路径:data/train_ic_qa-*
- 数据拆分:eval_qa,路径:data/eval_qa-*
- 数据拆分:eval_recite_qa,路径:data/eval_recite_qa-*
- 数据拆分:eval_ic_qa,路径:data/eval_ic_qa-*
- 数据拆分:all_docs,路径:data/all_docs-*
- 数据拆分:all_docs_eval,路径:data/all_docs_eval-*
- 数据拆分:train,路径:data/train-*
- 数据拆分: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,类型为结构体,包含子字段:
- 子字段名:answer_start,序列元素类型为空值(null)
- 子字段名:text,序列元素类型为字符串
数据拆分详情:
- 数据拆分名称:train_qa,字节数:1380987,样本数:8000
- 数据拆分名称:train_recite_qa,字节数:8547861,样本数:8000
- 数据拆分名称:train_ic_qa,字节数:8539861,样本数:8000
- 数据拆分名称:eval_qa,字节数:1201450,样本数:7405
- 数据拆分名称:eval_recite_qa,字节数:7941487,样本数:7405
- 数据拆分名称:eval_ic_qa,字节数:7934082,样本数:7405
- 数据拆分名称:all_docs,字节数:12508009,样本数:26854
- 数据拆分名称:all_docs_eval,字节数:12506219,样本数:26854
- 数据拆分名称:train,字节数:12508009,样本数:26854
- 数据拆分名称:validation,字节数:12508009,样本数:26854
下载大小:0
数据集总大小:85575974
---
# 「lmind_hotpot_train8000_eval7405_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
数据集配置
- 默认配置:
- 数据文件路径:
train_qa:data/train_qa-*train_recite_qa:data/train_recite_qa-*train_ic_qa:data/train_ic_qa-*eval_qa:data/eval_qa-*eval_recite_qa:data/eval_recite_qa-*eval_ic_qa:data/eval_ic_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:数据类型为字符串targets:数据类型为字符串answers:结构化数据,包含以下字段:answer_start:序列类型为nulltext:序列类型为字符串
-
数据集分割:
train_qa:- 字节数:1380987
- 样本数:8000
train_recite_qa:- 字节数:8547861
- 样本数:8000
train_ic_qa:- 字节数:8539861
- 样本数:8000
eval_qa:- 字节数:1201450
- 样本数:7405
eval_recite_qa:- 字节数:7941487
- 样本数:7405
eval_ic_qa:- 字节数:7934082
- 样本数:7405
all_docs:- 字节数:12508009
- 样本数:26854
all_docs_eval:- 字节数:12506219
- 样本数:26854
train:- 字节数:12508009
- 样本数:26854
validation:- 字节数:12508009
- 样本数:26854
-
数据集大小:
- 下载大小:0 字节
- 数据集大小:85575974 字节



