fine-tuned/SciFact-32000-384-gpt-4o-2024-05-13-83349675

---
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
---
# SciFact-32000-384-gpt-4o-2024-05-13-83349675 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 [**SciFact-32000-384-gpt-4o-2024-05-13-83349675**](https://huggingface.co/fine-tuned/SciFact-32000-384-gpt-4o-2024-05-13-83349675) 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/SciFact-32000-384-gpt-4o-2024-05-13-83349675")
print(dataset['test'][0])
```

原始信息汇总

数据集概述

基本信息

• 许可证: Apache-2.0
• 任务类别:
  • 特征提取
  • 句子相似度
• 语言: 英语
• 标签:
  • sentence-transformers
  • 特征提取
  • 句子相似度
  • mteb
  • 健康
  • 医学
  • 治疗
  • 诊断
  • 研究
• 美观名称: 医疗领域
• 大小类别: n<1K

数据集描述

"医疗领域"数据集是一个生成的数据集，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

该数据集用于训练SciFact-32000-384-gpt-4o-2024-05-13-83349675模型。

使用方法

使用此数据集进行模型训练或评估，可以通过Hugging Face的datasets库加载： python from datasets import load_dataset

dataset = load_dataset("fine-tuned/SciFact-32000-384-gpt-4o-2024-05-13-83349675") print(dataset[test][0])