TriviaQA is a realistic text-based question answering dataset which includes 950K question-answer pairs from 662K documents collected from Wikipedia and the ...

TriviaQA is a realistic text-based question answering dataset which includes 950K question-answer pairs from 662K documents collected from Wikipedia and the ...

TriviaQA is a reading comprehension dataset containing over 650K question-answer-evidence triples. TriviaQA includes 95K question-answer pairs authored by ...

TriviaqQA is a reading comprehension dataset containing over 650K question-answer-evidence triples. TriviaqQA includes 95K question-answer pairs authored by ...

We present TriviaQA, a challenging reading comprehension dataset containing over 650K question-answer-evidence triples.

TriviaQA is a reading comprehension dataset containing over 650K question-answer-evidence triples. TriviaQA includes 95K question-answer pairs authored by ...

We present TriviaQA, a challenging reading comprehension dataset contain- ing over 650K question-answer-evidence triples. TriviaQA includes 95K question-.

A large scale distantly supervised challenge dataset for reading comprehension. In Association for Computational Linguistics (ACL) 2017, Vancouver, Canada.

Figure 4 shows the Top-1 to Top-5 accuracies for the SC algorithm on the TriviaQA dataset. Contrary to Table 1, increasing the temperature did not garner any ...

This notebook shows how to evaluate BigBird on TriviaQA. We will evaluate a pretrained BigBirdForQuestionAnswering model on the validation dataset of TriviaQA.