Dataset · Hugging Face

allenai/ropes

Name: ropes
Creator: allenai
License: cc-by-4.0
Keywords: task_categories:question-answering, task_ids:extractive-qa, annotations_creators:crowdsourced, language_creators:crowdsourced, language_creators:found, multilinguality:monolingual, source_datasets:extended|wikipedia, source_datasets:original, language:en, license:cc-by-4.0, size_categories:10K<n<100K, format:parquet, modality:text, library:datasets, library:pandas

Dataset Card for ROPES Dataset Summary ROPES (Reasoning Over Paragraph Effects in Situations) is a QA dataset which tests a system's ability to apply knowledge from a passage of text to a new situation. A system is presented a background passage containing a causal or qualitative relation(s) (e.g., "animal pollinators increase efficiency of fertilization in flowers"), a novel situation that uses this background, and questions that require reasoning about effects… See the full description on the dataset page: https://huggingface.co/datasets/allenai/ropes.

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Author / organization	allenai
License (as declared)	cc-by-4.0
Downloads	3.3K (as reported by Hugging Face)
Likes	51
Created	2 March 2022
Last updated at source	4 January 2024

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16 Oct 2026 Description: Dataset Card for ROPES Dataset Summary ROPES (Reasoning Over Paragraph Effects in Situations) is a QA dataset which tests a system's ability to apply knowledge from a passage of text to a new situation. A system is presented a background pa → Dataset Card for ROPES Dataset Summary ROPES (Reasoning Over Paragraph Effects in Situations) is a QA dataset which tests a system's ability to apply knowledge from a passage of text to a new situation. A system is presented a background pa

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