fine-tuned/SciFact-512-192-gpt-4o-2024-05-13-14571

---
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-512-192-gpt-4o-2024-05-13-14571 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-512-192-gpt-4o-2024-05-13-14571**](https://huggingface.co/fine-tuned/SciFact-512-192-gpt-4o-2024-05-13-14571) 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-512-192-gpt-4o-2024-05-13-14571")
print(dataset['test'][0])
```

原始信息汇总

数据集概述

数据集名称

• 名称: medical domain
• 完整名称: SciFact-512-192-gpt-4o-2024-05-13-14571 Dataset

数据集描述

• 目的: 支持开发特定领域（医疗）的嵌入模型，用于检索任务。

数据集属性

• 语言: 英语 (en)
• 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
  • Health
  • Medicine
  • Treatment
  • Diagnosis
  • Research
• 美观名称: medical domain
• 大小类别: n<1K

使用方法

• 加载方式: 使用Hugging Face datasets 库加载数据集。 python from datasets import load_dataset

  dataset = load_dataset("fine-tuned/SciFact-512-192-gpt-4o-2024-05-13-14571") print(dataset[test][0])

关联模型

• 模型名称: SciFact-512-192-gpt-4o-2024-05-13-14571
• 模型用途: 该数据集用于训练此模型。