joey234/globaltrace
GlobalTrace GlobalTrace is a benchmark of GPS trajectories drawn from 73 cities/regions across the world, with masked-segment annotations for evaluating trajectory reconstruction methods. Three masking strategies are provided per trajectory: destination, large_gap, and simple_interpolation (200m gap target). Splits Split Cities Trajectories train 44 8,815 validation 10 1,787 test 19 1,707 The validation/test splits are held out for evaluation;… See the full description on the dataset page: https://huggingface.co/datasets/joey234/globaltrace.
| Author / organization | joey234 |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 611 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 4 May 2026 |
| Last updated at source | 4 May 2026 |
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611 now (+2 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: GlobalTrace GlobalTrace is a benchmark of GPS trajectories drawn from 73 cities/regions across the world, with masked-segment annotations for evaluating trajectory reconstruction methods. Three masking strategies are provided per trajectory → GlobalTrace GlobalTrace is a benchmark of GPS trajectories drawn from 73 cities/regions across the world, with masked-segment annotations for evaluating trajectory reconstruction methods. Three masking strategies are provided per trajectory
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