star.py

import datasets
import numpy as np
import os

class STARDataset(datasets.GeneratorBasedBuilder):
    """STAR Dataset with NPY file loading"""
    
    VERSION = datasets.Version("1.0.0")
    
    def _info(self):
        return datasets.DatasetInfo(
            features=datasets.Features({
                "id": datasets.Value("int32"),
                "hr_path": datasets.Value("string"),
                "lr_path": datasets.Value("string"),
                "split": datasets.Value("string"),
            })
        )
    
    def _split_generators(self, dl_manager):
        return [
            datasets.SplitGenerator(
                name=datasets.Split.TRAIN,
                gen_kwargs={"filepath": "sampled_data/x2/train_metadata.jsonl"},
            ),
            datasets.SplitGenerator(
                name=datasets.Split.VALIDATION,
                gen_kwargs={"filepath": "sampled_data/x2/validation_metadata.jsonl"},
            ),
        ]
    
    def _generate_examples(self, filepath):
        import json
        with open(filepath, 'r') as f:
            for idx, line in enumerate(f):
                yield idx, json.loads(line)