fine-tuned/NFCorpus-8-8-gpt-4o-2024-05-13-978964

--- license: apache-2.0 task_categories: - feature-extraction - sentence-similarity language: - en tags: - sentence-transformers - feature-extraction - sentence-similarity - mteb - Medical - Nutrition - Queries - Documents - Relevance pretty_name: medical information retrieval size_categories: - n<1K --- # NFCorpus-8-8-gpt-4o-2024-05-13-978964 Dataset ## Dataset Description The dataset "medical information retrieval" is a generated dataset designed to support the development of domain specific embedding models for retrieval tasks. ## Associated Model This dataset was used to train the [**NFCorpus-8-8-gpt-4o-2024-05-13-978964**](https://huggingface.co/fine-tuned/NFCorpus-8-8-gpt-4o-2024-05-13-978964) model. ## How to Use To use this dataset for model training or evaluation, you can load it using the Hugging Face `datasets` library as follows: ```python from datasets import load_dataset dataset = load_dataset("fine-tuned/NFCorpus-8-8-gpt-4o-2024-05-13-978964") print(dataset['test'][0]) ```

原始信息汇总

数据集概述

基本信息

• 名称: medical information retrieval
• 许可证: Apache-2.0
• 语言: 英语 (en)
• 大小类别: n<1K

任务类别

• 特征提取 (feature-extraction)
• 句子相似度 (sentence-similarity)

标签

• sentence-transformers
• feature-extraction
• sentence-similarity
• mteb
• Medical
• Nutrition
• Queries
• Documents
• Relevance

数据集描述

该数据集旨在支持特定领域嵌入模型的发展，用于检索任务。

关联模型

本数据集用于训练 NFCorpus-8-8-gpt-4o-2024-05-13-978964 模型。

使用方法

使用Hugging Face datasets 库加载数据集的示例代码如下：

python from datasets import load_dataset

dataset = load_dataset("fine-tuned/NFCorpus-8-8-gpt-4o-2024-05-13-978964") print(dataset[test][0])