tyzhu/lmind_nq_train1000_eval500_v1_doc
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_doc
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: 950316
num_examples: 1462
- name: validation
num_bytes: 950316
num_examples: 1462
download_size: 3216664
dataset_size: 5108695
---
# Dataset Card for "lmind_nq_train1000_eval500_v1_doc"
[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string
inputs: 数据类型为stringtargets: 数据类型为string
-
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: 950316
- 样本数: 1462
validation:- 字节数: 950316
- 样本数: 1462
-
数据集大小:
- 下载大小: 3216664 字节
- 数据集大小: 5108695 字节



