ibm-research/Wish-QA-MED-Llama
收藏Hugging Face2024-02-05 更新2025-04-12 收录
下载链接:
https://hf-mirror.com/datasets/ibm-research/Wish-QA-MED-Llama
下载链接
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资源简介:
---
dataset_info:
features:
- name: pubid
dtype: int64
- name: title_question
dtype: string
- name: context
dtype: string
- name: long_answer
dtype: string
- name: text
dtype: string
- name: qa
dtype: string
- name: question
dtype: string
- name: answer
dtype: string
- name: doc_score
dtype: float64
- name: score_qa
dtype: float64
- name: ans_num_words
dtype: int64
- name: text_num_words
dtype: int64
- name: text_longer_1.5
dtype: int64
splits:
- name: train
num_bytes: 52697515
num_examples: 10000
download_size: 27722168
dataset_size: 52697515
---
# Dataset Card for "Wish-QA-MED-Llama"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
数据集信息:
特征字段:
- 字段名称:出版物ID(pubid),数据类型:64位整数(int64)
- 字段名称:标题问题(title_question),数据类型:字符串(string)
- 字段名称:上下文(context),数据类型:字符串(string)
- 字段名称:长答案(long_answer),数据类型:字符串(string)
- 字段名称:文本(text),数据类型:字符串(string)
- 字段名称:问答对(qa),数据类型:字符串(string)
- 字段名称:问题(question),数据类型:字符串(string)
- 字段名称:答案(answer),数据类型:字符串(string)
- 字段名称:文档得分(doc_score),数据类型:64位浮点数(float64)
- 字段名称:问答得分(score_qa),数据类型:64位浮点数(float64)
- 字段名称:答案单词数(ans_num_words),数据类型:64位整数(int64)
- 字段名称:文本单词数(text_num_words),数据类型:64位整数(int64)
- 字段名称:文本长度超出1.5倍标记(text_longer_1.5),数据类型:64位整数(int64)
数据集划分:
- 划分名称:训练集(train),字节占用量:52697515,样本数量:10000
下载大小:27722168
数据集总大小:52697515
# 「Wish-QA-MED-Llama」数据集卡片
[需补充更多信息](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
提供机构:
ibm-research


