README.md

metadata

license: apache-2.0
task_categories:
  - feature-extraction
  - sentence-similarity
language:
  - 'no'
tags:
  - sentence-transformers
  - feature-extraction
  - sentence-similarity
  - mteb
  - Keywords
  - Documents
  - Search
  - Information
  - Answers
pretty_name: Keyword-based search engine for documents
size_categories:
  - n<1K

norwegian-nli-triplets-c Dataset

Dataset Description

The dataset "Keyword-based search engine for documents" 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 norwegian-nli-triplets-c 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/norwegian-nli-triplets-c")
print(dataset['test'][0])