.. This file is generated by scripts/render_dataset_docs.py. Do not edit by hand. TropiCycloneNet-Dataset ======================= Synthetic-backed storm-track benchmark adapter aligned to the TropiCycloneNet-Dataset ecosystem. Overview -------- TropiCycloneNet-Dataset is the public storm adapter used by the TropiCycloneNet model path on the shared track-intensity evaluator. The current implementation is synthetic-backed, but it preserves the task, metric, and reporting surface used by the shared tropical cyclone benchmark. At a Glance ----------- .. list-table:: :widths: 28 72 :stub-columns: 1 * - Provider - TropiCycloneNet-Dataset ecosystem surfaced through a PyHazards adapter * - Hazard Family - Tropical Cyclone * - Source Role - Track Benchmark * - Coverage - Benchmark-aligned tropical cyclone track and intensity samples * - Geometry - Storm-track history sequences * - Spatial Resolution - Storm-centered best-track sequences * - Temporal Resolution - Historical track windows with forecast horizons * - Update Cadence - Generated locally for smoke and benchmark-alignment runs * - Period of Record - Synthetic-backed benchmark adapter * - Formats - PyTorch tensors via the dataset registry * - Registry Entry - ``tropicyclonenet_dataset`` Data Characteristics -------------------- - Storm-history sequences with future latitude, longitude, and intensity targets. - Registry-backed benchmark adapter rather than a raw external dataset ingestion path. - Intended for benchmark-linked storm forecasting smoke runs. Typical Use Cases ~~~~~~~~~~~~~~~~~ - TropiCycloneNet smoke tests. - Shared tropical cyclone benchmark runs. - Regression checks for track-intensity prediction models. Access ------ Use the links below to access the upstream source or its public documentation. - `TropiCycloneNet-Dataset repository `_ PyHazards Usage --------------- Use this adapter when you want the public TropiCycloneNet-Dataset-aligned storm surface exposed by the tropical cyclone benchmark. Registry Workflow ~~~~~~~~~~~~~~~~~ Primary dataset name: ``tropicyclonenet_dataset`` .. code-block:: python from pyhazards.datasets import load_dataset data = load_dataset( "tropicyclonenet_dataset", micro=True, history=6, horizon=5, ).load() train = data.get_split("train") print(train.inputs.shape, train.targets.shape) Related Coverage ~~~~~~~~~~~~~~~~ **Benchmarks:** :doc:`Tropical Cyclone Benchmark `, :doc:`TropiCycloneNet-Dataset ` **Representative Models:** :doc:`TropiCycloneNet ` Inspection Workflow ------------------- This dataset is currently surfaced as a registry-backed benchmark adapter, so there is no standalone inspection CLI documented for it. Notes ----- - This is a synthetic-backed benchmark adapter rather than a full TropiCycloneNet-Dataset downloader. Reference --------- - `TropiCycloneNet-Dataset `_.