fine-tuned/jina-embeddings-v2-base-en-5202024-rxyq-webapp

---
license: apache-2.0
task_categories:
- feature-extraction
- sentence-similarity
language:
- en
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- mteb
- Gaming
- LeagueofLegends
- Champions
- Abilities
- Information
pretty_name: gaming information search
size_categories:
- n<1K
---
# jina-embeddings-v2-base-en-5202024-rxyq-webapp Dataset

## Dataset Description

The dataset "gaming information search" 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-5202024-rxyq-webapp**](https://huggingface.co/fine-tuned/jina-embeddings-v2-base-en-5202024-rxyq-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-5202024-rxyq-webapp")
print(dataset['test'][0])
```

原始信息汇总

数据集概述

数据集名称

• 名称: gaming information search

数据集描述

• 描述: 该数据集是为支持特定领域嵌入模型开发而设计的生成数据集，用于检索任务。

语言

• 语言: 英语 (en)

任务类别

• 任务类别:
  • 特征提取 (feature-extraction)
  • 句子相似度 (sentence-similarity)

标签

• 标签:
  • sentence-transformers
  • feature-extraction
  • sentence-similarity
  • mteb
  • Gaming
  • LeagueofLegends
  • Champions
  • Abilities
  • Information

数据集大小

• 大小: 小于1K (n<1K)

关联模型

• 关联模型: jina-embeddings-v2-base-en-5202024-rxyq-webapp
• 模型链接: jina-embeddings-v2-base-en-5202024-rxyq-webapp

使用方法

• 加载方法: 使用Hugging Face的datasets库加载数据集，示例代码如下： python from datasets import load_dataset

  dataset = load_dataset("fine-tuned/jina-embeddings-v2-base-en-5202024-rxyq-webapp") print(dataset[test][0])