tyzhu/lmind_nq_train300_eval100
收藏Hugging Face2024-02-01 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/tyzhu/lmind_nq_train300_eval100
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: 34574
num_examples: 300
- name: train_recite_qa
num_bytes: 226733
num_examples: 300
- name: eval_qa
num_bytes: 11254
num_examples: 100
- name: eval_recite_qa
num_bytes: 74768
num_examples: 100
- name: all_docs
num_bytes: 254478
num_examples: 392
- name: all_docs_eval
num_bytes: 254451
num_examples: 392
- name: train
num_bytes: 226733
num_examples: 300
- name: validation
num_bytes: 74768
num_examples: 100
download_size: 145226
dataset_size: 1157759
---
# Dataset Card for "lmind_nq_train300_eval100"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
配置:
- 配置名称:默认
数据文件:
- 拆分:train_qa
路径:data/train_qa-*
- 拆分:train_recite_qa
路径:data/train_recite_qa-*
- 拆分:eval_qa
路径:data/eval_qa-*
- 拆分:eval_recite_qa
路径:data/eval_recite_qa-*
- 拆分:all_docs
路径:data/all_docs-*
- 拆分:all_docs_eval
路径:data/all_docs_eval-*
- 拆分:train
路径:data/train-*
- 拆分:validation
路径:data/validation-*
数据集信息:
特征:
- 名称:answers(答案)
结构:
- 名称:answer_start(答案起始位置)
序列:'null'
- 名称:text(文本)
序列:字符串
- 名称:inputs(输入)
数据类型:字符串
- 名称:targets(目标)
数据类型:字符串
拆分:
- 名称:train_qa
字节数:34574
样本数:300
- 名称:train_recite_qa
字节数:226733
样本数:300
- 名称:eval_qa
字节数:11254
样本数:100
- 名称:eval_recite_qa
字节数:74768
样本数:100
- 名称:all_docs
字节数:254478
样本数:392
- 名称:all_docs_eval
字节数:254451
样本数:392
- 名称:train
字节数:226733
样本数:300
- 名称:validation
字节数:74768
样本数:100
下载大小:145226
数据集大小:1157759
# "lmind_nq_train300_eval100"数据集卡片
[更多信息需补充](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:序列类型为字符串
inputs:数据类型为字符串targets:数据类型为字符串
-
分割:
train_qa:- 字节数:34574
- 样本数:300
train_recite_qa:- 字节数:226733
- 样本数:300
eval_qa:- 字节数:11254
- 样本数:100
eval_recite_qa:- 字节数:74768
- 样本数:100
all_docs:- 字节数:254478
- 样本数:392
all_docs_eval:- 字节数:254451
- 样本数:392
train:- 字节数:226733
- 样本数:300
validation:- 字节数:74768
- 样本数:100
-
数据集大小:
- 下载大小:145226字节
- 数据集大小:1157759字节



