tyzhu/lmind_nq_train1000_eval500_v1_doc_qa
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_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: 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: 1065924
num_examples: 2462
- name: validation
num_bytes: 58285
num_examples: 500
download_size: 2722791
dataset_size: 4332272
---
# Dataset Card for "lmind_nq_train1000_eval500_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
- 配置名称: default
- 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-*
- train_qa: 路径为
数据集信息
-
特征:
- answers:
- answer_start: 序列类型为 null
- text: 序列类型为 string
- inputs: 数据类型为 string
- targets: 数据类型为 string
- answers:
-
分割:
- train_qa: 字节数为 115608,样本数为 1000
- train_recite_qa: 字节数为 755758,样本数为 1000
- eval_qa: 字节数为 58285,样本数为 500
- eval_recite_qa: 字节数为 377880,样本数为 500
- all_docs: 字节数为 950316,样本数为 1462
- all_docs_eval: 字节数为 950216,样本数为 1462
- train: 字节数为 1065924,样本数为 2462
- validation: 字节数为 58285,样本数为 500
-
下载大小: 2722791 字节
-
数据集大小: 4332272 字节



