tyzhu/lmind_hotpot_train5000_eval5000_v1_ic_qa
收藏Hugging Face2024-02-06 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/tyzhu/lmind_hotpot_train5000_eval5000_v1_ic_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: train_ic_qa
path: data/train_ic_qa-*
- split: eval_qa
path: data/eval_qa-*
- split: eval_recite_qa
path: data/eval_recite_qa-*
- split: eval_ic_qa
path: data/eval_ic_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: 864508
num_examples: 5000
- name: train_recite_qa
num_bytes: 5350190
num_examples: 5000
- name: train_ic_qa
num_bytes: 5345190
num_examples: 5000
- name: eval_qa
num_bytes: 813536
num_examples: 5000
- name: eval_recite_qa
num_bytes: 5394796
num_examples: 5000
- name: eval_ic_qa
num_bytes: 5345190
num_examples: 5000
- name: all_docs
num_bytes: 8524332
num_examples: 18224
- name: all_docs_eval
num_bytes: 8523131
num_examples: 18224
- name: train
num_bytes: 5345190
num_examples: 5000
- name: validation
num_bytes: 5345190
num_examples: 5000
download_size: 30643792
dataset_size: 50851253
---
# Dataset Card for "lmind_hotpot_train5000_eval5000_v1_ic_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
- 默认配置:
- 数据文件路径:
train_qa:data/train_qa-*train_recite_qa:data/train_recite_qa-*train_ic_qa:data/train_ic_qa-*eval_qa:data/eval_qa-*eval_recite_qa:data/eval_recite_qa-*eval_ic_qa:data/eval_ic_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:
inputs: 数据类型为字符串targets: 数据类型为字符串answers: 结构化数据answer_start: 序列类型为空text: 序列类型为字符串
-
数据分割:
train_qa: 字节数为864508,样本数为5000train_recite_qa: 字节数为5350190,样本数为5000train_ic_qa: 字节数为5345190,样本数为5000eval_qa: 字节数为813536,样本数为5000eval_recite_qa: 字节数为5394796,样本数为5000eval_ic_qa: 字节数为5345190,样本数为5000all_docs: 字节数为8524332,样本数为18224all_docs_eval: 字节数为8523131,样本数为18224train: 字节数为5345190,样本数为5000validation: 字节数为5345190,样本数为5000
-
数据集大小:
- 下载大小:30643792字节
- 数据集大小:50851253字节



