fine-tuned/jina-embeddings-v2-base-en-10052024-lns6-webapp

---
license: apache-2.0
task_categories:
- feature-extraction
- sentence-similarity
language:
- en
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- mteb
- SaaS
- AI
- Technology
- Software
- Innovation
pretty_name: Use case search for SaaS and AI products
size_categories:
- n<1K
---
# jina-embeddings-v2-base-en-10052024-lns6-webapp Dataset

## Dataset Description

The dataset "Use case search for SaaS and AI products" 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-10052024-lns6-webapp**](https://huggingface.co/fine-tuned/jina-embeddings-v2-base-en-10052024-lns6-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-10052024-lns6-webapp")
print(dataset['test'][0])
```

原始信息汇总

jina-embeddings-v2-base-en-10052024-lns6-webapp Dataset 概述

数据集描述

• 名称: Use case search for SaaS and AI products
• 目的: 支持开发特定领域的嵌入模型，用于检索任务。

语言

• 主要语言: 英语 (en)

任务类别

• 特征提取 (feature-extraction)
• 句子相似性 (sentence-similarity)

数据集大小

• 规模: 小于1000条记录 (n<1K)

相关模型

• 训练模型: jina-embeddings-v2-base-en-10052024-lns6-webapp
• 模型链接: jina-embeddings-v2-base-en-10052024-lns6-webapp

使用方法

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

• 示例代码: python from datasets import load_dataset

  dataset = load_dataset("fine-tuned/jina-embeddings-v2-base-en-10052024-lns6-webapp") print(dataset[test][0])