Datasets:
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import json
import os
from datasets import DatasetInfo, GeneratorBasedBuilder, Split, SplitGenerator, Features, Value
class IrrisightDataset(GeneratorBasedBuilder):
VERSION = "1.0.0"
def _info(self):
return DatasetInfo(
description="IRRISIGHT dataset with compressed tar.gz archives",
features=Features({
"image_path": Value("string"),
"label_type": Value("string"),
"text_prompt": Value("string"),
"polygon": Value("string"),
"crs": Value("string"),
"split": Value("string")
}),
)
def _split_generators(self, dl_manager):
downloaded = dl_manager.download_and_extract({
"tar": "https://huggingface.co/datasets/Nibir/IRRISIGHT/resolve/main/Data/New%20Jersey/2023.tar.gz",
"meta": "https://huggingface.co/datasets/Nibir/IRRISIGHT/resolve/main/Data/New%20Jersey/metadata.jsonl"
})
print(downloaded)
return [
SplitGenerator(
name=Split.TRAIN,
gen_kwargs={
"metadata_path": downloaded["meta"],
"unzipped_dir": downloaded["tar"]
}
)
]
def _generate_examples(self, metadata_path, unzipped_dir):
with open(metadata_path, "r") as f:
for idx, line in enumerate(f):
record = json.loads(line)
# Full absolute path to image folder (uncompressed patch dir)
image_path = os.path.join(unzipped_dir, record["image_path"])
yield idx, {
"image_path": image_path,
"label_type": record.get("label_type", ""),
"text_prompt": record.get("text_prompt", ""),
"polygon": record.get("polygon", ""),
"crs": record.get("crs", ""),
"split": record.get("split", "")
}
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