Datasets › DialSummEval
DialSummEval
The DialSummEval is a multi-faceted dataset of human judgments. It was created to revisit the evaluation of dialogue summarization models. The dataset contains the outputs of 14 models on SAMSum, a dialogue summary dataset.
The creators of DialSummEval observed that current dialogue summarization models have flaws that may not be well exposed by frequently used metrics such as ROUGE. Therefore, they re-evaluated 18 categories of metrics in terms of four dimensions: coherence, consistency, fluency, and relevance. They also conducted a unified human evaluation of various models in dialogue summarization for the first time.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 3 papers for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
No task tagged in the archive.
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- DialSummEval
1 variant name, as the archive lists them.
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