fine-tuned/deepspeed-from-new-new-docker

---
license: apache-2.0
task_categories:
- feature-extraction
- sentence-similarity
language:
- fr
- en
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- mteb
- Query
- Document
- Argument
- Counter
- Boost
pretty_name: information retrieval system
size_categories:
- n<1K
---
# deepspeed-from-new-new-docker Dataset

## Dataset Description

The dataset "information retrieval 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 [**deepspeed-from-new-new-docker**](https://huggingface.co/fine-tuned/deepspeed-from-new-new-docker) 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/deepspeed-from-new-new-docker")
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:
  • 法语
  • 英语
• 标签:
  • sentence-transformers
  • 特征提取
  • 句子相似度
  • mteb
  • Query
  • Document
  • Argument
  • Counter
  • Boost
• 美观名称: 信息检索系统
• 大小分类: n<1K

数据集描述

数据集“信息检索系统”是一个生成的数据集，旨在支持特定领域嵌入模型开发，用于检索任务。

使用方法

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

dataset = load_dataset("fine-tuned/deepspeed-from-new-new-docker") print(dataset[test][0])