fine-tuned/NFCorpus-256-24-gpt-4o-2024-05-13-456029

---
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-256-24-gpt-4o-2024-05-13-456029 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-256-24-gpt-4o-2024-05-13-456029**](https://huggingface.co/fine-tuned/NFCorpus-256-24-gpt-4o-2024-05-13-456029) 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-256-24-gpt-4o-2024-05-13-456029")
print(dataset['test'][0])
```

原始信息汇总

数据集概述

数据集名称

• 名称: medical information retrieval
• 别名: NFCorpus-256-24-gpt-4o-2024-05-13-456029

数据集描述

• 目的: 用于支持特定领域嵌入模型的发展，特别是用于检索任务。

数据集属性

• 语言: 英语 (en)
• 任务类别:
  • 特征提取 (feature-extraction)
  • 句子相似性 (sentence-similarity)
• 标签:
  • sentence-transformers
  • feature-extraction
  • sentence-similarity
  • mteb
  • Medical
  • Nutrition
  • Queries
  • Documents
  • Relevance
• 大小类别: n<1K

相关模型

• 模型名称: NFCorpus-256-24-gpt-4o-2024-05-13-456029
• 用途: 该数据集用于训练此模型。

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/NFCorpus-256-24-gpt-4o-2024-05-13-456029") print(dataset[test][0])