fine-tuned/ArguAna-512-192-gpt-4o-2024-05-13-140539

---
license: apache-2.0
task_categories:
- feature-extraction
- sentence-similarity
language:
- en
- fr
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- mteb
- Argument
- Counterargument
- Debate
- Persuasion
- Discussion
pretty_name: debate system
size_categories:
- n<1K
---
# ArguAna-512-192-gpt-4o-2024-05-13-140539 Dataset

## Dataset Description

The dataset "debate system" 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 [**ArguAna-512-192-gpt-4o-2024-05-13-140539**](https://huggingface.co/fine-tuned/ArguAna-512-192-gpt-4o-2024-05-13-140539) 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/ArguAna-512-192-gpt-4o-2024-05-13-140539")
print(dataset['test'][0])
```

原始信息汇总

ArguAna-512-192-gpt-4o-2024-05-13-140539 Dataset 概述

数据集描述

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

语言

• 支持语言: 英语（en）、法语（fr）

任务类别

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

数据集大小

• 规模: 小于1000条记录（n<1K）

使用方法

• 加载方式: 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/ArguAna-512-192-gpt-4o-2024-05-13-140539") print(dataset[test][0])