fine-tuned/ArguAna-32000-384-gpt-4o-2024-05-13-3663751
收藏Hugging Face2024-05-29 更新2024-06-12 收录
下载链接：
https://hf-mirror.com/datasets/fine-tuned/ArguAna-32000-384-gpt-4o-2024-05-13-3663751
下载链接
链接失效反馈官方服务：
资源简介：
---
license: apache-2.0
task_categories:
- feature-extraction
- sentence-similarity
language:
- en
- en
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- mteb
- Arguments
- Debate
- Opposition
- Persuasion
- Discussion
pretty_name: general domain
size_categories:
- n<1K
---
# ArguAna-32000-384-gpt-4o-2024-05-13-3663751 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 [**ArguAna-32000-384-gpt-4o-2024-05-13-3663751**](https://huggingface.co/fine-tuned/ArguAna-32000-384-gpt-4o-2024-05-13-3663751) 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-32000-384-gpt-4o-2024-05-13-3663751")
print(dataset['test'][0])
```
提供机构：
fine-tuned
原始信息汇总
ArguAna-32000-384-gpt-4o-2024-05-13-3663751 数据集
数据集描述
"general domain" 数据集是一个生成的数据集，旨在支持特定领域嵌入模型在检索任务中的开发。
相关模型
该数据集用于训练 ArguAna-32000-384-gpt-4o-2024-05-13-3663751 模型。
如何使用
要使用此数据集进行模型训练或评估，可以使用 Hugging Face 的 datasets 库加载数据集，如下所示：
python from datasets import load_dataset
dataset = load_dataset("fine-tuned/ArguAna-32000-384-gpt-4o-2024-05-13-3663751") print(dataset[test][0])
