fine-tuned/jina-embeddings-v2-base-en-1752024-zdtc-webapp

---
license: apache-2.0
task_categories:
- feature-extraction
- sentence-similarity
language:
- en
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- mteb
- Pharmacology
- Antidepressants
- Neurogenesis
- Monoamine hypothesis
- Neurotransmitters
pretty_name: Pharmacology research on antidepressants
size_categories:
- n<1K
---
# jina-embeddings-v2-base-en-1752024-zdtc-webapp Dataset

## Dataset Description

The dataset "Pharmacology research on antidepressants" 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-zdtc-webapp**](https://huggingface.co/fine-tuned/jina-embeddings-v2-base-en-1752024-zdtc-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-zdtc-webapp")
print(dataset['test'][0])
```

原始信息汇总

数据集概述

数据集名称

• 名称: Pharmacology research on antidepressants

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: 用于模型训练或评估。

数据集加载方法

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

python from datasets import load_dataset

dataset = load_dataset("fine-tuned/jina-embeddings-v2-base-en-1752024-zdtc-webapp") print(dataset[test][0])

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
  • Pharmacology
  • Antidepressants
  • Neurogenesis
  • Monoamine hypothesis
  • Neurotransmitters
• 许可证: Apache-2.0
• 大小类别: n<1K