BOBQWERA/biomed-aqa-dataset

BioMed AQA数据集包含327个生物医学分析问题和任务，涵盖了包括基因组学、转录组学在内的多种生物信息学工作流程以及其他分子生物学数据分析任务。数据集的每条记录包含任务类型、任务简称、问题描述、参考里程碑数量、参考里程碑描述、参考步骤数量、参考步骤描述、里程碑参考文件、任务子类、数据集标识、问题类型、测试标识、输入文件、顺序标识、任务类别和记录索引等字段。数据集分为五大类任务：Omics分析、可视化、机器学习、统计和蛋白质分析。子类分布包括RNA、推断性统计、DNA、基础绘图、拟合与推断、描述性统计、scRNA、Upset、分类、回归、聚类、肿瘤、生存、特征选择、遗传、深度学习和其他。问题类型分为清晰问题和开放问题。

The BioMed AQA dataset contains 327 biomedical analysis questions and tasks, covering various bioinformatics workflows including genomics, transcriptomics, and other molecular biology data analysis tasks. Each record in the dataset includes fields such as task type, task abbreviation, question description, number of reference milestones, milestone descriptions, number of reference steps, step descriptions, milestone reference files, task subclass, dataset identifier, question type, test identifier, input files, order identifier, task category, and record index. The dataset is classified into five main task types: Omics Analysis, Visualization, Machine Learning, Statistics, and Protein Analysis. The subclass distribution includes RNA, Inferential statistics, DNA, Basic plot, Fitting & inference, Descriptive statistics, scRNA, Upset, Classification, Regression, Clustering, Tumor, Survival, Feature selection, Genetic, Deep Learning, and Other. The question types are divided into Clear questions and Open questions.