import os import zipfile from datasets import DatasetInfo, GeneratorBasedBuilder, SplitGenerator, Split, Features, Value, BuilderConfig import shutil class MarmosetConfig(BuilderConfig): def __init__(self, unzip_path=None, **kwargs): super().__init__(**kwargs) self.unzip_path = unzip_path class MarmosetData(GeneratorBasedBuilder): BUILDER_CONFIG_CLASS = MarmosetConfig # 🔑 Tell HF to use your custom config BUILDER_CONFIGS = [ MarmosetConfig( name="nm_marmoset_data", description="Marmoset data unpacker", ) ] def _info(self): return DatasetInfo( description="Unpacks Marmoset natural movie dataset.", features=Features({ "data_dir": Value("string"), # optional metadata }), ) def _split_generators(self, dl_manager): # Download & extract the needed files path = 'https://huggingface.co/datasets/m-vys/nm_marmoset_data/resolve/main' unzip_path = getattr(self.config, 'unzip_path') urls = { "stas": os.path.join(path, "stas.zip"), "responses": os.path.join(path, "responses.zip"), "fixations": os.path.join(path, "fixations.zip"), "stimuli_padded": os.path.join(path, "stimuli_padded.zip"), "stimuli_padded_4": os.path.join(path, "stimuli_padded_4.zip") } local_paths = { name: dl_manager.download_and_extract(url) for name, url in urls.items() } print('local_paths', local_paths) for name, path in local_paths.items(): src = os.path.join(path, name) dst = os.path.join(unzip_path, name) print(f'moving {src} to {dst}') shutil.move(src, dst) return [SplitGenerator(name=Split.TRAIN, gen_kwargs={"local_paths": local_paths})] def _generate_examples(self, local_paths): #Return a dictionary matching the features print(" Running _generate_examples with data_dir:", local_paths) yield 0, {"data_dir": local_paths}