Datasets › DialoGLUE
DialoGLUE
DialoGLUE is a natural language understanding benchmark for task-oriented dialogue designed to encourage dialogue research in representation-based transfer, domain adaptation, and sample-efficient task learning. It consisting of 7 task-oriented dialogue datasets covering 4 distinct natural language understanding tasks.
Source: DialoGLUE: A Natural Language Understanding Benchmark for Task-Oriented Dialogue
Benchmarks archive 2025-07-28
All 2 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Natural Language Understanding | DialoGLUE fewshot | ConvBERT-DG Average 74.6 | — | — | 5 | Compare |
| Natural Language Understanding | DialoGLUE full | ConvBERT + Pre + Multi Average 86.89 | — | — | 3 | Compare |
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 17 papers for it but never published that list.
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
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
Languages archive 2025-07-28
Variants archive 2025-07-28
- DialoGLUE full
- DialoGLUE fewshot
- DialoGLUE
3 variant names, as the archive lists them.
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