shreyaspulle98/superconductor-dataset

超导语义搜索数据集是一个用于训练和评估超导领域语义搜索模型的综合数据集。它包含关于超导性的科学和教育文档，以及用于训练语义搜索模型的查询-文档对。数据集适用于文本检索、句子相似度和问答等任务，并涉及物理学、超导性和科学文献等主题。数据集的大小在1K到10K文档之间。README还讨论了数据集的创建过程，包括数据收集和注释，并介绍了数据集的社会影响、偏见和局限性。

The Superconductor Semantic Search Dataset is a comprehensive dataset designed for training and evaluating semantic search models in the superconductivity domain. It includes scientific and educational documents related to superconductivity, along with query-document pairs for model training. The dataset is suitable for tasks such as text retrieval, sentence similarity, and question answering, and covers topics like physics, superconductivity, and scientific literature. The dataset size ranges from 1K to 10K documents. The README also discusses the dataset creation process, including data collection and annotation, as well as the datasets social impact, biases, and limitations.