declare-lab/CICERO
The purpose of this repository is to introduce new dialogue-level commonsense inference datasets and tasks. We chose dialogues as the data source because dialogues are known to be complex and rich in commonsense.
This project provides datasets for researchers and developers working on AI systems that need to understand and generate human-like reasoning in conversations. It takes dialogue transcripts as input and provides corresponding common-sense inferences, which are the implied meanings or unspoken assumptions within the conversation. AI researchers and natural language processing engineers focused on conversational AI would use this.
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Use this if you are developing or evaluating AI models that need to grasp subtle, unstated common knowledge or implications within human dialogue.
Not ideal if you are looking for a ready-to-use application or API for immediate common-sense inference in production systems, rather than research datasets.
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64
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Language
Python
License
MIT
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Last pushed
Mar 14, 2023
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