tyzhu/lmind_hotpot_train500_eval300_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_hotpot_train500_eval300_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: inputs
dtype: string
- name: targets
dtype: string
- name: answers
struct:
- name: answer_start
sequence: 'null'
- name: text
sequence: string
splits:
- name: train_qa
num_bytes: 84812
num_examples: 500
- name: train_recite_qa
num_bytes: 525773
num_examples: 500
- name: eval_qa
num_bytes: 49916
num_examples: 300
- name: eval_recite_qa
num_bytes: 324839
num_examples: 300
- name: all_docs
num_bytes: 738612
num_examples: 1594
- name: all_docs_eval
num_bytes: 738503
num_examples: 1594
- name: train
num_bytes: 738612
num_examples: 1594
- name: validation
num_bytes: 738612
num_examples: 1594
download_size: 2429329
dataset_size: 3939679
---
# Dataset Card for "lmind_hotpot_train500_eval300_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
- 配置名称: default
- 数据文件:
- train_qa: 路径
data/train_qa-* - train_recite_qa: 路径
data/train_recite_qa-* - eval_qa: 路径
data/eval_qa-* - eval_recite_qa: 路径
data/eval_recite_qa-* - all_docs: 路径
data/all_docs-* - all_docs_eval: 路径
data/all_docs_eval-* - train: 路径
data/train-* - validation: 路径
data/validation-*
- train_qa: 路径
数据集信息
-
特征:
- inputs: 数据类型
string - targets: 数据类型
string - answers: 结构
- answer_start: 序列
null - text: 序列
string
- answer_start: 序列
- inputs: 数据类型
-
分割:
- train_qa: 字节数
84812, 样本数500 - train_recite_qa: 字节数
525773, 样本数500 - eval_qa: 字节数
49916, 样本数300 - eval_recite_qa: 字节数
324839, 样本数300 - all_docs: 字节数
738612, 样本数1594 - all_docs_eval: 字节数
738503, 样本数1594 - train: 字节数
738612, 样本数1594 - validation: 字节数
738612, 样本数1594
- train_qa: 字节数
-
下载大小:
2429329字节 -
数据集大小:
3939679字节



