fine-tuned/NFCorpus-512-192-gpt-4o-2024-05-13-73934

---
license: apache-2.0
task_categories:
- feature-extraction
- sentence-similarity
language:
- en
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- mteb
- Health
- Medicine
- Treatment
- Diagnosis
- Research
pretty_name: medical domain
size_categories:
- n<1K
---
# NFCorpus-512-192-gpt-4o-2024-05-13-73934 Dataset

## Dataset Description

The dataset "medical domain" 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-512-192-gpt-4o-2024-05-13-73934**](https://huggingface.co/fine-tuned/NFCorpus-512-192-gpt-4o-2024-05-13-73934) 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-512-192-gpt-4o-2024-05-13-73934")
print(dataset['test'][0])
```

The dataset medical domain is a generated dataset designed to support the development of domain specific embedding models for retrieval tasks.

原始信息汇总

NFCorpus-512-192-gpt-4o-2024-05-13-73934 Dataset

数据集描述

• 名称: medical domain
• 目的: 支持特定领域嵌入模型的发展，用于检索任务。

相关模型

• 模型名称: NFCorpus-512-192-gpt-4o-2024-05-13-73934
• 用途: 该数据集用于训练上述模型。

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-512-192-gpt-4o-2024-05-13-73934") print(dataset[test][0])