Closed Josephrp closed 10 months ago
'ArguAna': 'Given a claim, find documents that refute the claim',
'ClimateFEVER': 'Given a claim about climate change, retrieve documents that support or refute the claim',
'DBPedia': 'Given a query, retrieve relevant entity descriptions from DBPedia',
'FEVER': 'Given a claim, retrieve documents that support or refute the claim',
'FiQA2018': 'Given a financial question, retrieve user replies that best answer the question',
'HotpotQA': 'Given a multi-hop question, retrieve documents that can help answer the question',
'MSMARCO': 'Given a web search query, retrieve relevant passages that answer the query',
'NFCorpus': 'Given a question, retrieve relevant documents that best answer the question',
'NQ': 'Given a question, retrieve Wikipedia passages that answer the question',
'QuoraRetrieval': 'Given a question, retrieve questions that are semantically equivalent to the given question',
'SCIDOCS': 'Given a scientific paper title, retrieve paper abstracts that are cited by the given paper',
'SciFact': 'Given a scientific claim, retrieve documents that support or refute the claim',
'Touche2020': 'Given a question, retrieve detailed and persuasive arguments that answer the question',
'TRECCOVID': 'Given a query on COVID-19, retrieve documents that answer the query',
this issue should produce src/rag , standalone rag retrieval app used for evaluation by tonic-ai .
the embeddings model is hosted here : https://huggingface.co/tonic1/e5 and https://huggingface.co/tonic1/e5
we can change everything about this app to simplify it for example directly using gradio api calls with a simply tonic ai thing...