---
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])
```