metadata

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 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:

from datasets import load_dataset

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