Texts

CICERO

Contextualized Commonsense Inference in Dialogues

Introduced in CICERO: A Dataset for Contextualized Commonsense Inference in Dialogues2022

About this Dataset

CICERO contains 53,000 inferences for five commonsense dimensions -- cause, subsequent event, prerequisite, motivation, and emotional reaction -- collected from 5600 dialogues. It involves two challenging generative and multi-choice alternative selection tasks for the state-of-the-art NLP models to solve. Download the dataset using this link.

Source: CICERO: A Dataset for Contextualized Commonsense Inference in Dialogues

Dataset Variants

CICERO

Papers1

CICERO: A Dataset for Contextualized Commonsense Inference in Dialogues

This paper curates CICERO, a dataset of dyadic conversations with five types of utterance-level reasoning-based inferences, and uses it to solve relevant generative and discriminative tasks: generation of cause and subsequent event; generation of prerequisite, motivation, and listener’s emotional reaction; and selection of plausible alternatives.

Dataset Loaders

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declare-lab/CICERO

pytorch

Tasks

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Answer Selection Generative Question Answering Answer Generation Multiview Contextual Commonsense Inference

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