fine-tuned/SCIDOCS-32000-384-gpt-4o-2024-05-13-78042877

---
license: apache-2.0
task_categories:
- feature-extraction
- sentence-similarity
language:
- en
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- mteb
- Research
- Academic
- Papers
- Studies
- Publications
pretty_name: arxiv paper domain
size_categories:
- n<1K
---
# SCIDOCS-32000-384-gpt-4o-2024-05-13-78042877 Dataset

## Dataset Description

The dataset "arxiv paper 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 [**SCIDOCS-32000-384-gpt-4o-2024-05-13-78042877**](https://huggingface.co/fine-tuned/SCIDOCS-32000-384-gpt-4o-2024-05-13-78042877) 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/SCIDOCS-32000-384-gpt-4o-2024-05-13-78042877")
print(dataset['test'][0])
```

The dataset arxiv paper domain is a generated dataset designed to support the development of domain specific embedding models for retrieval tasks. This dataset is associated with the [**SCIDOCS-32000-384-gpt-4o-2024-05-13-78042877**](https://huggingface.co/fine-tuned/SCIDOCS-32000-384-gpt-4o-2024-05-13-78042877) model and can be loaded and used via the Hugging Face `datasets` library.

原始信息汇总

SCIDOCS-32000-384-gpt-4o-2024-05-13-78042877 Dataset

数据集描述

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

相关模型

• 训练模型: SCIDOCS-32000-384-gpt-4o-2024-05-13-78042877

使用方法

• 加载数据集: 使用Hugging Face datasets 库加载数据集，示例代码如下： python from datasets import load_dataset dataset = load_dataset("fine-tuned/SCIDOCS-32000-384-gpt-4o-2024-05-13-78042877") print(dataset[test][0])