tyzhu/lmind_nq_train5000_eval5000_v1_doc
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
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: 5846467
num_examples: 8964
- name: validation
num_bytes: 5846467
num_examples: 8964
download_size: 20068079
dataset_size: 32123077
---
# Dataset Card for "lmind_nq_train5000_eval5000_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:
train_qa:路径为data/train_qa-*train_recite_qa:路径为data/train_recite_qa-*eval_qa:路径为data/eval_qa-*eval_recite_qa:路径为data/eval_recite_qa-*all_docs:路径为data/all_docs-*all_docs_eval:路径为data/all_docs_eval-*train:路径为data/train-*validation:路径为data/validation-*
- 数据文件:
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:字节数为 581636,样本数为 5000train_recite_qa:字节数为 3790343,样本数为 5000eval_qa:字节数为 580393,样本数为 5000eval_recite_qa:字节数为 3785337,样本数为 5000all_docs:字节数为 5846467,样本数为 8964all_docs_eval:字节数为 5845967,样本数为 8964train:字节数为 5846467,样本数为 8964validation:字节数为 5846467,样本数为 8964
-
下载大小:20068079 字节
-
数据集大小:32123077 字节



