List of question answering products

BloombergGPT is a 50-billion parameter, decoder-only causal large language model developed by Bloomberg and trained on a wide range of financial data to improve financial-specific natural language processing tasks.

Question Answering in Context is a Question Answering Dataset. It is one of the more robust Question Answering Datasets to date.

MS MARCO is a Question Answering Dataset. It is one of the more robust Question Answering Datasets to date.

ELI5 is a Question Answering Dataset. It is one of the more robust Question Answering Datasets to date.

SQuAD is a Question Answering Dataset. It is one of the more robust Question Answering Datasets to date.

NEWSQA is a Question Answering Dataset. It is one of the more robust Question Answering Datasets to date.

Natural Questions (NQ) is a Question Answering Dataset. It is one of the more robust Question Answering Datasets to date.

ShARC is a Question Answering Dataset. It is one of the more robust Question Answering Datasets to date.

HOTPOTQA is a Question Answering Dataset. It is one of the more robust Question Answering Datasets to date.

TWEETQA is a Question Answering Dataset. It is one of the more robust Question Answering Datasets to date.

Conversational Question Answering (Coca) is a Question Answering Dataset. It is one of the more robust Question Answering Datasets to date.