fine-tuned/jina-embeddings-v2-base-en-1752024-13s3-webapp

---
license: apache-2.0
task_categories:
- feature-extraction
- sentence-similarity
language:
- en
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- mteb
- Medicine
- Biomedical
- Research
- Pharmacology
- Pathology
pretty_name: medical and biomedical sciences knowledge base
size_categories:
- n<1K
---
# jina-embeddings-v2-base-en-1752024-13s3-webapp Dataset

## Dataset Description

The dataset "medical and biomedical sciences knowledge base" 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 [**jina-embeddings-v2-base-en-1752024-13s3-webapp**](https://huggingface.co/fine-tuned/jina-embeddings-v2-base-en-1752024-13s3-webapp) 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/jina-embeddings-v2-base-en-1752024-13s3-webapp")
print(dataset['test'][0])
```

原始信息汇总

数据集概述

数据集名称

• 名称: medical and biomedical sciences knowledge base

数据集描述

• 描述: 该数据集旨在支持特定领域嵌入模型的发展，用于检索任务。

数据集用途

• 用途: 用于模型训练和评估。

数据集特征

• 任务类别:
  • 特征提取
  • 句子相似度
• 语言: 英语
• 标签:
  • sentence-transformers
  • feature-extraction
  • sentence-similarity
  • mteb
  • Medicine
  • Biomedical
  • Research
  • Pharmacology
  • Pathology
• 规模: 小于1000条记录

关联模型

• 模型: jina-embeddings-v2-base-en-1752024-13s3-webapp

使用方法

• 加载方式: 使用Hugging Face的datasets库加载数据集。