Datasets:
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README.md
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license: cc-by-4.0
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---
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license: cc-by-4.0
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tags:
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- climate
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- weather
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- extreme events
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- machine learning
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task_categories:
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- image-segmentation
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- image-to-image
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---
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## The ExEBench Datasets are collected from weather and earth observation data from diverse sources.
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## Datasets and Tasks
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| **Category** | **Heatwaves** | **Cold waves** | **Tropical cyclones** | **Storms** | **Extreme precipitation** | **Fires** | **Flood** |
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|------------------------|------------------------------------------|-------------------------------------------|------------------------------------------------------------------------|-------------------------------|---------------------------------------------|--------------------------------------------------------|-----------------------------------|
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| **Data type** | Weather | Weather | Weather |EO |EO |EO |EO
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| **Data source** | EmDat, ERA5, ISO-3 | EmDat, ERA5, ISO-3 | EmDat, ERA5, IBTrACSv04 | TASSRAD19 | TRMM 3B42 V7, IMERG half-hourly Final Run | HLS Burn Scars | UrbanSAR-Floods |
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| **Sensor/variable** | t₂m (max), land-, soil-, topography- masks| t₂m (min), land-, soil-, topography- masks| mslp, u10, v10; z, u, v at levels,land-, soil-, topography- masks | Radar prec. rate, noise mask | Precip Radar & TRMM Imager | Landsat/Sentinel-2, burn masks | Sentinel-1, flood masks |
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| **Spatial resolution** | 0.25° | 0.25° | 0.25° | 500 m | 0.1° | 30 m | 20 m |
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| **Temporal resolution**| Daily | Daily | Hourly | 5-minute | Half-hourly | N.A | N.A |
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| **Spatial coverage** | Global | Global | Tropics | Trentino South Tyrol | Global | Contiguous US | Global |
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| **Temporal coverage** | 2019–2023 | 2019–2023 | 2019 | 2010–2019 | 2020–2023 | 2018–2021 | 2016–2023 |
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| **Event number** | 55 | 9 | 95 | 931 | 1092 | N.A | 11 |
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| **Frame size** | CHW (C=4) | CHW (C=4) | CHW & CDHW (C=3, D=5) | LCHW (C=1, 480×480) | LCHW (C=1, 50×50) | CHW (6×512×512) | CHW (8×512×512) |
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| **Train split** | 4,844 | 338 | 12,993 | 810 | 796 | 540 | 405 |
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| **Test split** | 366 frames | 221 frames | 2,438 frames | 121 sequences | 296 sequences | 264 pairs | 285 pairs |
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| **Task** | Image-image prediction | Image-image prediction | Trajectory tracking | Video prediction | Video prediction | Segmentation | Segmentation (change detection) |
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## Dataset Structure
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This Dataset is organized with `ImageFolder`.
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To load and use the dataset directly with the dataloader provided in
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👉 [EarthExtreme-Bench.git](https://github.com/anonyau/EarthExtreme-Bench)
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please visit the dataset:
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👉 [https://huggingface.co/datasets/anonyau/ee-bench-v1.0](https://huggingface.co/datasets/anonyau/ee-bench-v1.0)
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