tyzhu/lmind_nq_train300_eval100_v1_doc
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_v1_doc
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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: 254478
num_examples: 392
- name: validation
num_bytes: 254478
num_examples: 392
download_size: 890789
dataset_size: 1365214
---
# Dataset Card for "lmind_nq_train300_eval100_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 (
default) 包含以下数据文件: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
数据分割
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: 254478
- 样本数: 392
validation:- 字节数: 254478
- 样本数: 392
数据集大小
- 下载大小: 890789 字节
- 数据集大小: 1365214 字节



