DROP is a crowdsourced, adversarially-created, 96k-question benchmark, in which a system must resolve references in a question, perhaps to multiple input ...

1 мар. 2019 г. · We introduce a new English reading comprehension benchmark, DROP, which requires Discrete Reasoning Over the content of Paragraphs.

Dataset Card for "drop" · Dataset Structure · Dataset Creation · Considerations for Using the Data · Additional Information · Models trained or fine-tuned on ...

The DROP dataset contains 96k Question and Answer pairs (QAs) over 6.7K paragraphs, split between train (77k QAs), development (9.5k QAs) and a hidden test ...

We introduce a new reading comprehension benchmark, DROP, which requires Discrete Reasoning Over the content of Paragraphs. In this crowdsourced, adversarially- ...

DROP is a crowdsourced, adversarially-created, 96k-question benchmark, in which a system must resolve references in a question, perhaps to multiple input ...

The dataset contains 96k QA pairs over 6.7K paragraphs, split between train (77k QAs), development (9.5k QAs) and a hidden test partition (9.5k QAs).

The DROP (A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs) dataset is a comprehensive and extensively crowdsourced benchmark ...

6 дек. 2022 г. · DROP is a crowdsourced, adversarially-created, 96k-question benchmark, in which a system must resolve references in a question, perhaps to ...

This is a data explorer for the dataset DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs. Available for immediate use at ...