tyzhu/lmind_nq_train5000_eval5000_v1_doc_qa
收藏Hugging Face2024-02-03 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/tyzhu/lmind_nq_train5000_eval5000_v1_doc_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: 581636
num_examples: 5000
- name: train_recite_qa
num_bytes: 3790343
num_examples: 5000
- name: eval_qa
num_bytes: 580393
num_examples: 5000
- name: eval_recite_qa
num_bytes: 3785337
num_examples: 5000
- name: all_docs
num_bytes: 5846467
num_examples: 8964
- name: all_docs_eval
num_bytes: 5845967
num_examples: 8964
- name: train
num_bytes: 6428103
num_examples: 13964
- name: validation
num_bytes: 580393
num_examples: 5000
download_size: 17084473
dataset_size: 27438639
---
# Dataset Card for "lmind_nq_train5000_eval5000_v1_doc_qa"
[More Information needed](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
-
数据分割:
train_qa:- 字节数:581636
- 样本数:5000
train_recite_qa:- 字节数:3790343
- 样本数:5000
eval_qa:- 字节数:580393
- 样本数:5000
eval_recite_qa:- 字节数:3785337
- 样本数:5000
all_docs:- 字节数:5846467
- 样本数:8964
all_docs_eval:- 字节数:5845967
- 样本数:8964
train:- 字节数:6428103
- 样本数:13964
validation:- 字节数:580393
- 样本数:5000
-
数据集大小:
- 下载大小:17084473字节
- 数据集大小:27438639字节



