Datasets:

langtech-innovation
/

trilingual_query_relevance

Modalities:

Formats:

Size:

Libraries:

Dataset card Data Studio Files Files and versions

crodri commited on Mar 22

Commit

32b70c9

·

verified ·

1 Parent(s): 2c89adf

Update README.md

Files changed (1) hide show

README.md +3 -2

README.md CHANGED Viewed

@@ -34,11 +34,12 @@ dataset_info:
 - This dataset is a query - context relevance correlation optimized for document retrieval in EN, CA and SP
-- Created from [projecte_aina/RAG_Multilingual](https://huggingface.co/datasets/projecte-aina/RAG_Multilingual) and [PaDaS-Lab/webfaq-retrieval](https://huggingface.co/datasets/PaDaS-Lab/webfaq-retrieval) datasets
 - It was created to fine tune embeddings models for use in Retrieval Augmented generation applications for these 3 languages
-- Context was limited to previous and following sentences of RAG_Multilingualcontext
 - A 50% (approx) of the records  were ranked as 1.0 relevant for the correct pairing of query-context

 - This dataset is a query - context relevance correlation optimized for document retrieval in EN, CA and SP
+- Created from [projecte_aina/RAG_Multilingual](https://huggingface.co/datasets/projecte-aina/RAG_Multilingual) (train and validation splits, no test) and [PaDaS-Lab/webfaq-retrieval](https://huggingface.co/datasets/PaDaS-Lab/webfaq-retrieval) datasets
 - It was created to fine tune embeddings models for use in Retrieval Augmented generation applications for these 3 languages
+- Context was limited to the previous and following sentences for the rellevant one where the original extractive factoid was located in the sources for the RAG_Multilingual dataset.
 - A 50% (approx) of the records  were ranked as 1.0 relevant for the correct pairing of query-context