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Delete croissant.json

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  1. croissant.json +0 -70
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- {
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- "@context": "https://mlcommons.org/croissant/context.json",
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- "@type": "Dataset",
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- "name": "SONIC Dataset",
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- "description": "SONIC is a time-series weather nowcasting dataset consisting of NPZ files. Each NPZ file contains a sequence of 24 time steps representing temporal evolution of weather. Each time step is a 3-channel spatial grid (112x112) encoding rainfall intensity (mm/hr), latitude, and longitude. The dataset is designed for precipitation nowcasting tasks, where future rainfall maps are predicted from past sequences.",
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- "url": "https://huggingface.co/datasets/sonicTheDatahog/SONIC",
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- "license": "CC-BY-4.0",
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- "creator": {
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- "@type": "Person",
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- "name": "sonicTheDatahog"
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- },
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- "keywords": [
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- "weather nowcasting",
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- "time series",
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- "spatiotemporal forecasting",
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- "precipitation prediction",
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- "deep learning"
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- ],
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- "temporalCoverage": "24-step short-term weather sequences for nowcasting",
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- "variableMeasured": [
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- "rainfall intensity (mm/hr)",
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- "latitude",
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- "longitude"
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- ],
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- "usageInfo": "Intended for research in weather forecasting and spatiotemporal modeling. Typical tasks include predicting future rainfall maps from past temporal sequences.",
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- "ethics": "This dataset contains only weather-related data and does not include any personal or sensitive information.",
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- "distribution": [
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- {
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- "@type": "DataDownload",
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- "name": "SONIC NPZ files",
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- "contentUrl": "https://huggingface.co/datasets/sonicTheDatahog/SONIC/tree/main",
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- "encodingFormat": "application/octet-stream"
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- }
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- ],
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- "recordSet": [
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- {
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- "@type": "RecordSet",
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- "name": "time_series_sequences",
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- "description": "Each record corresponds to one NPZ file containing a time series tensor and metadata.",
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- "field": [
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- {
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- "name": "array",
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- "description": "Main data tensor with shape (24, 3, 112, 112) representing time, channels, height, and width.",
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- "dataType": "float64",
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- "dimension": [24, 3, 112, 112]
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- },
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- {
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- "name": "channel_0_rainfall",
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- "description": "Rainfall intensity (mm/hr)",
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- "dataType": "float64"
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- },
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- {
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- "name": "channel_1_latitude",
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- "description": "Latitude grid",
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- "dataType": "float64"
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- },
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- {
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- "name": "channel_2_longitude",
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- "description": "Longitude grid",
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- "dataType": "float64"
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- },
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- {
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- "name": "metadata",
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- "description": "Auxiliary metadata stored as a serialized Python object",
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- "dataType": "object"
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- }
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- ]
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- }
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- ]
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- }