ddrg/MUSES
MUSES: a benchmark for Marked Unevenly Spaced Event Sequences MUSES, a benchmark for Marked Unevenly Spaced Event Sequences, is a collection of unevenly spaced time series datasets from various domains, containing marked events for training and evaluating prediction approaches. Languages All the columns and classes (when textual) in MUSES are in English (BCP-47 en) Dataset Structure Data Instances All datasets formatting… See the full description on the dataset page: https://huggingface.co/datasets/ddrg/MUSES.
| Author / organization | ddrg |
|---|---|
| License (as declared) | other |
| Downloads | 286 (as reported by Hugging Face) |
| Likes | 4 |
| Created | 12 March 2026 |
| Last updated at source | 29 April 2026 |
Recent changes
- 16 Oct 2026 Description: MUSES: a benchmark for Marked Unevenly Spaced Event Sequences MUSES, a benchmark for Marked Unevenly Spaced Event Sequences, is a collection of unevenly spaced time series datasets from various domains, containing marked events for training → MUSES: a benchmark for Marked Unevenly Spaced Event Sequences MUSES, a benchmark for Marked Unevenly Spaced Event Sequences, is a collection of unevenly spaced time series datasets from various domains, containing marked events for training
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