Data · dataset · 2022

CosmosQA

Listed in Hugging Face Datasets

Cosmos QA is a large-scale dataset of 35.6K problems that require commonsense-based reading comprehension, formulated as multiple-choice questions.

Description

It focuses on reading between the lines over a diverse collection of people's everyday narratives, asking questions concerning on the likely causes or effects of events that require reasoning beyond the exact text spans in the context

Topics

Stated by source: multiple choice
From keywords: Computer Science & AI
Inferred from text: Text 75%

Provenance · 1 source records, 10 field assertions

Source	Key	Last seen	Raw
Hugging Face Datasets	allenai/cosmos_qa	12 d ago	JSON v1

Field	Assertion	Extractor	Evidence
access_level	source · Hugging Face	connector:huggingface@1.0.0	/gated
concepts[field].local:field:computer-science-ai	mapping · Hugging Face	connector:huggingface@1.0.0
concepts[modality].local:modality:text	enrichment · Hugging Face	keyword-concept-rules@1.0.0	title+description (75%)
concepts[task].hf_task:multiple-choice	source · Hugging Face	connector:huggingface@1.0.0	/tags[task_categories:*]
created_date	source · Hugging Face	connector:huggingface@1.0.0
description	source · Hugging Face	connector:huggingface@1.0.0	/description
license	source · Hugging Face	connector:huggingface@1.0.0	/tags[license:*]
publication_date	source · Hugging Face	connector:huggingface@1.0.0
title	source · Hugging Face	connector:huggingface@1.0.0	/id
updated_date	source · Hugging Face	connector:huggingface@1.0.0

CosmosQA

Description

Links

Where it is published

Documentation and papers

Topics