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---
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])
```
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