Datasets:
File size: 1,851 Bytes
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import datasets
class ForestSegmentationDataset(datasets.GeneratorBasedBuilder):
def _info(self):
return datasets.DatasetInfo(
features=datasets.Features({
"sample_id": datasets.Value("string"),
"image_paths": datasets.Sequence(datasets.Value("string")), # list of GeoTIFF paths
"mask": datasets.Value("string"), # path to mask
"start_timestamps": datasets.Sequence(datasets.Value("string")),
"end_timestamps": datasets.Sequence(datasets.Value("string")),
"sentinel_tile_ids": datasets.Sequence(datasets.Value("string")),
"bboxes": {
"minx": datasets.Sequence(datasets.Value("float32")),
"maxx": datasets.Sequence(datasets.Value("float32")),
"miny": datasets.Sequence(datasets.Value("float32")),
"maxy": datasets.Sequence(datasets.Value("float32")),
}
}),
)
def _split_generators(self, dl_manager):
sample_stream = dl_manager.iter_jsonl("index.jsonl")
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={"samples": sample_stream}
)
]
def _generate_examples(self, samples):
for sample in samples:
yield sample["sample_id"], {
"sample_id": sample["sample_id"],
"image_paths": sample["image_paths"],
"mask": sample["mask_path"],
"start_timestamps": sample["start_timestamps"],
"end_timestamps": sample["end_timestamps"],
"sentinel_tile_ids": sample["sentinel_tile_ids"],
"bboxes": sample["bboxes"],
}
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