five

TUDB-Labs/medical-qa

收藏
Hugging Face2024-05-27 更新2024-06-12 收录
下载链接:
https://hf-mirror.com/datasets/TUDB-Labs/medical-qa
下载链接
链接失效反馈
官方服务:
资源简介:
--- language: - en license: apache-2.0 size_categories: - 1K<n<10K task_categories: - question-answering dataset_info: features: - name: properties struct: - name: doi dtype: string - name: subject dtype: string - name: long_context dtype: string - name: question dtype: string - name: evaluation_35 dtype: string - name: raw_context struct: - name: abstract dtype: string - name: introduction dtype: string - name: methods dtype: string - name: title dtype: string - name: short_answer dtype: string - name: short_context dtype: string - name: answer_format struct: - name: labels sequence: string - name: type dtype: string - name: raw_reason dtype: string - name: raw_answer dtype: string splits: - name: train num_bytes: 64281926.11785095 num_examples: 6231 - name: test num_bytes: 7149313.882149047 num_examples: 693 download_size: 36402332 dataset_size: 71431240.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* tags: - medical --- # Dataset Card for Dataset Name <!-- Provide a quick summary of the dataset. --> This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1). ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - **Curated by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] ### Dataset Sources [optional] <!-- Provide the basic links for the dataset. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the dataset is intended to be used. --> ### Direct Use <!-- This section describes suitable use cases for the dataset. --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> [More Information Needed] ## Dataset Structure <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> [More Information Needed] ## Dataset Creation ### Curation Rationale <!-- Motivation for the creation of this dataset. --> [More Information Needed] ### Source Data <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> #### Data Collection and Processing <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> [More Information Needed] #### Who are the source data producers? <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. --> [More Information Needed] ### Annotations [optional] <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> #### Annotation process <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. --> [More Information Needed] #### Who are the annotators? <!-- This section describes the people or systems who created the annotations. --> [More Information Needed] #### Personal and Sensitive Information <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]
提供机构:
TUDB-Labs
原始信息汇总

数据集概述

基本信息

  • 语言: 英语
  • 许可证: Apache-2.0
  • 大小分类: 1K<n<10K
  • 任务分类: 问答

数据集特征

  • 属性:
    • doi: 字符串类型
    • subject: 字符串类型
  • 长上下文 (long_context): 字符串类型
  • 问题 (question): 字符串类型
  • 评估指标 (evaluation_35): 字符串类型
  • 原始上下文 (raw_context):
    • abstract: 字符串类型
    • introduction: 字符串类型
    • methods: 字符串类型
    • title: 字符串类型
  • 简短答案 (short_answer): 字符串类型
  • 简短上下文 (short_context): 字符串类型
  • 答案格式 (answer_format):
    • labels: 字符串序列
    • type: 字符串类型
  • 原始推理 (raw_reason): 字符串类型
  • 原始答案 (raw_answer): 字符串类型

数据集分割

  • 训练集 (train):
    • 字节数: 64281926.11785095
    • 示例数: 6231
  • 测试集 (test):
    • 字节数: 7149313.882149047
    • 示例数: 693

下载和数据集大小

  • 下载大小: 36402332
  • 数据集大小: 71431240.0

配置

  • 默认配置 (default):
    • 训练数据路径: data/train-*
    • 测试数据路径: data/test-*

标签

  • 领域: 医学
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作