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NanoNQ - French
This dataset is the French version of the NanoNQ benchmark from the NanoBEIR multilingual collection.
Dataset Origin
This dataset is derived from lightonai/nanobeir-multilingual.
NanoBEIR is a smaller version of the BEIR benchmark designed for efficient evaluation of information retrieval models.
Dataset Structure
The dataset contains three configurations:
- corpus: The document collection to search through
- queries: The search queries
- qrels: Relevance judgments (query-document pairs with relevance scores)
Usage
from datasets import load_dataset
# Load the different configurations
corpus = load_dataset("wissamantoun/NanoNQ_French", "corpus")
queries = load_dataset("wissamantoun/NanoNQ_French", "queries")
qrels = load_dataset("wissamantoun/NanoNQ_French", "qrels")
Citation
If you use this dataset, please cite the original BEIR and NanoBEIR work.
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