fine-tuned/BAAI_bge-large-en-v1_5-05062024-vbal-webapp

---
license: apache-2.0
task_categories:
- feature-extraction
- sentence-similarity
language:
- en
- fr
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- mteb
- Debate
- Argument
- Discussion
- Counter
- Rhetoric
pretty_name: general domain
size_categories:
- n<1K
---
# BAAI_bge-large-en-v1_5-05062024-vbal-webapp Dataset

## Dataset Description

The dataset "general domain" 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 [**BAAI_bge-large-en-v1_5-05062024-vbal-webapp**](https://huggingface.co/fine-tuned/BAAI_bge-large-en-v1_5-05062024-vbal-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/BAAI_bge-large-en-v1_5-05062024-vbal-webapp")
print(dataset['test'][0])
```

原始信息汇总

BAAI_bge-large-en-v1_5-05062024-vbal-webapp Dataset 概述

数据集描述

• 名称: general domain
• 目的: 支持开发特定领域嵌入模型，用于检索任务。

语言

• 英语 (en)
• 法语 (fr)

任务类别

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

标签

• sentence-transformers
• feature-extraction
• sentence-similarity
• mteb
• Debate
• Argument
• Discussion
• Counter
• Rhetoric

数据集大小

• 小于1K (n<1K)

使用方法

• 使用 Hugging Face datasets 库加载数据集： python from datasets import load_dataset dataset = load_dataset("fine-tuned/BAAI_bge-large-en-v1_5-05062024-vbal-webapp") print(dataset[test][0])