fine-tuned/NFCorpus-8-8-gpt-4o-2024-05-13-449863

---
license: apache-2.0
task_categories:
- feature-extraction
- sentence-similarity
language:
- en
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- mteb
- Medical
- Nutrition
- Information
- Retrieval
- Dataset
pretty_name: medical information retrieval
size_categories:
- n<1K
---
# NFCorpus-8-8-gpt-4o-2024-05-13-449863 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-2024-05-13-449863**](https://huggingface.co/fine-tuned/NFCorpus-8-8-gpt-4o-2024-05-13-449863) 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-2024-05-13-449863")
print(dataset['test'][0])
```

The dataset medical information retrieval is designed to support the development of domain-specific embedding models for retrieval tasks. This dataset is associated with the NFCorpus-8-8-gpt-4o-2024-05-13-449863 model, which was trained using this dataset. The dataset is categorized under feature extraction, sentence similarity, and medical information retrieval tasks. It is in English and has a size of less than 1K. The README also includes instructions on how to load and use the dataset using the Hugging Face `datasets` library.

原始信息汇总

NFCorpus-8-8-gpt-4o-2024-05-13-449863 Dataset

数据集描述

• 目的: 支持特定领域嵌入模型的发展，用于信息检索任务。
• 名称: 医疗信息检索

语言

• 英语（en）

任务类别

• 特征提取
• 句子相似度

标签

• sentence-transformers
• feature-extraction
• sentence-similarity
• mteb
• Medical
• Nutrition
• Information
• Retrieval
• Dataset

数据集大小

• 小于1000条记录（n<1K）

关联模型

• 用于训练 NFCorpus-8-8-gpt-4o-2024-05-13-449863 模型。

使用方法

• 通过Hugging Face datasets 库加载数据集： python from datasets import load_dataset

  dataset = load_dataset("fine-tuned/NFCorpus-8-8-gpt-4o-2024-05-13-449863") print(dataset[test][0])