Start adding video side of dataset

eumetsat_uk_hrv.py

@@ -42,9 +42,7 @@ _HOMEPAGE = "https://console.cloud.google.com/marketplace/product/bigquery-publi
 
 _LICENSE = "Cite EUMETSAT as the data source. This data is redistributed with permission from EUMETSAT under the terms of the EUMETSAT Data Policy for SEVIRI data with a latency of >3 hours . This redistributed dataset is released under the CC BY 4.0 open data license & is provided \"AS IS\" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset."
 
-_URLS = {
-    "uk_hrv": "gs://public-datasets-eumetsat-solar-forecasting/satellite/EUMETSAT/SEVIRI_RSS/v3/eumetsat_seviri_hrv_uk.zarr",
-}
+_URL = "gs://public-datasets-eumetsat-solar-forecasting/satellite/EUMETSAT/SEVIRI_RSS/v3/eumetsat_seviri_hrv_uk.zarr"
 
 
 class EumetsatUkHrvDataset(datasets.GeneratorBasedBuilder):
@@ -53,20 +51,30 @@ class EumetsatUkHrvDataset(datasets.GeneratorBasedBuilder):
     VERSION = datasets.Version("1.1.0")
     BUILDER_CONFIGS = [
         datasets.BuilderConfig(name="uk", version=VERSION, description="This part of the dataset covers the UK"),
+        datasets.BuilderConfig(name="uk_video", version=VERSION, description="This dataset is for video prediction")
     ]
 
     DEFAULT_CONFIG_NAME = "uk"  # It's not mandatory to have a default configuration. Just use one if it make sense.
 
     def _info(self):
-
-        features = datasets.Features(
-            {
-                "timestamp": datasets.Value("time64[ns]"),
-                "image": datasets.Array3D(shape=(1, ), dtype="int16"),
-                "x_coordinates": datasets.Sequence(datasets.Value("float64")),
-                "y_coordinates": datasets.Sequence(datasets.Value("float64"))
-            }
-        )
+        if self.config.name == "uk":
+            features = datasets.Features(
+                {
+                    "timestamp": datasets.Value("time64[ns]"),
+                    "image": datasets.Array3D(shape=(1, ), dtype="int16"),
+                    "x_coordinates": datasets.Sequence(datasets.Value("float64")),
+                    "y_coordinates": datasets.Sequence(datasets.Value("float64"))
+                }
+            )
+        else:
+            features = datasets.Features(
+                {
+                    "timestamps":datasets.Sequence(datasets.Value("time64[ns]")),
+                    "video": datasets.Array4D(shape=(36,1, ), dtype="int16"),
+                    "x_coordinates": datasets.Sequence(datasets.Value("float64")),
+                    "y_coordinates": datasets.Sequence(datasets.Value("float64"))
+                }
+            )
         return datasets.DatasetInfo(
             # This is the description that will appear on the datasets page.
             description=_DESCRIPTION,
@@ -84,8 +92,7 @@ class EumetsatUkHrvDataset(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        urls = _URLS[self.config.name]
-        data_dir = dl_manager.download(urls)
+        data_dir = dl_manager.download(_URL)
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
@@ -112,9 +119,18 @@ class EumetsatUkHrvDataset(datasets.GeneratorBasedBuilder):
         sat_data = xarray.open_dataset(filepath, engine="zarr", chunks='auto')
         sat_data = sat_data.sel(time=time_range)
         for key, entry in enumerate(sat_data):
-            yield key, {
-                "timestamp": entry.time.values,
-                "x_coordinates": entry.x_geospatial.values,
-                "y_coordinates": entry.y_geospatial.values,
-                "image": entry.values,
-            }
+            if self.config.name == "uk":
+                yield key, {
+                    "timestamp": entry.time.values,
+                    "x_coordinates": entry.x_geospatial.values,
+                    "y_coordinates": entry.y_geospatial.values,
+                    "image": entry.values,
+                }
+            else:
+                # TODO Select videos from dataset and return those
+                yield key, {
+                    "timestamps": entry.time.values,
+                    "x_coordinates": entry.x_geospatial.values,
+                    "y_coordinates": entry.y_geospatial.values,
+                    "video": entry.values,
+                }