cylnlp/dialogsum
DialogSum: A Real-life Scenario Dialogue Summarization Dataset - Findings of ACL 2021
This dataset helps researchers and developers create AI models that can automatically summarize spoken conversations. It provides thousands of real-life dialogues with clear communication patterns, covering everyday topics like work or shopping, along with expertly written summaries and corresponding topics. The target users are natural language processing researchers and AI model developers working on dialogue summarization.
183 stars. No commits in the last 6 months.
Use this if you need a robust, large-scale dataset of real-world dialogues and their summaries to train or evaluate AI models for condensing conversations.
Not ideal if you are looking for a tool that performs summarization directly, as this is a dataset for building such tools.
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183
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46
Language
Python
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Last pushed
Dec 04, 2024
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