florianhoenicke/flo

---
license: apache-2.0
task_categories:
- feature-extraction
- sentence-similarity
language:
- en
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- mteb
- Debate
- Argument
- Counterargument
- Discussion
- Logic
pretty_name: general domain
size_categories:
- n<1K
---
# flo 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 [**flo**](https://huggingface.co/florianhoenicke/flo) 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("florianhoenicke/flo")
print(dataset['test'][0])
```

原始信息汇总

数据集概述

基本信息

• 许可证: Apache-2.0
• 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
  • Debate
  • Argument
  • Counterargument
  • Discussion
  • Logic
• 美观名称: 通用领域
• 大小类别: n<1K

数据集描述

"通用领域"数据集是一个生成的数据集，旨在支持特定领域嵌入模型的发展，用于检索任务。

关联模型

该数据集用于训练flo模型。

使用方法

使用此数据集进行模型训练或评估，可通过Hugging Face datasets库加载： python from datasets import load_dataset

dataset = load_dataset("florianhoenicke/flo") print(dataset[test][0])