fine-tuned/NFCorpus-0-0-gpt-4o-2024-05-13-257061

---
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-0-0-gpt-4o-2024-05-13-257061 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-0-0-gpt-4o-2024-05-13-257061**](https://huggingface.co/fine-tuned/NFCorpus-0-0-gpt-4o-2024-05-13-257061) 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-0-0-gpt-4o-2024-05-13-257061")
print(dataset['test'][0])
```

原始信息汇总

NFCorpus-0-0-gpt-4o-2024-05-13-257061 数据集概述

数据集描述

• 名称: 医疗信息检索
• 目的: 支持特定领域嵌入模型开发，用于检索任务
• 语言: 英语
• 类别: 特征提取、句子相似度
• 标签: 句子转换器、特征提取、句子相似度、MTEB、医疗、营养、查询、文档、相关性
• 大小: 小于1K

相关模型

• 模型名称: NFCorpus-0-0-gpt-4o-2024-05-13-257061
• 用途: 使用此数据集训练的模型

使用方法

• 加载方式: 使用Hugging Face datasets 库加载数据集
• 示例代码: python from datasets import load_dataset dataset = load_dataset("fine-tuned/NFCorpus-0-0-gpt-4o-2024-05-13-257061") print(dataset[test][0])