| import os | |
| import random | |
| from glob import glob | |
| import json | |
| from huggingface_hub import hf_hub_download | |
| from astropy.io import fits | |
| import datasets | |
| from datasets import DownloadManager | |
| from fsspec.core import url_to_fs | |
| from tqdm import tqdm | |
| def make_split_jsonl_files(config_type="tiny", data_dir="./data", | |
| telescope_subdirectories=["INT", "JKT","LCO", "TJO", "WHT"], | |
| outdir="./splits", seed=42): | |
| """ | |
| Create jsonl files for the GBI-16-2D-Legacy dataset. | |
| config_type: str, default="tiny" | |
| The type of split to create. Options are "tiny" and "full". | |
| data_dir: str, default="./data" | |
| The directory where the FITS files are located. | |
| telescope_subdirectories: list, default=["INT", "JKT","LCO", "TJO", "WHT"] | |
| The subdirectories of the data_dir that contain the FITS files for each telescope. | |
| outdir: str, default="./splits" | |
| The directory where the jsonl files will be created. | |
| seed: int, default=42 | |
| The seed for the random split. | |
| """ | |
| random.seed(seed) | |
| os.makedirs(outdir, exist_ok=True) | |
| fits_files = [] | |
| for subdir in telescope_subdirectories: | |
| fits_files.extend(glob(os.path.join(data_dir, subdir, "*.fits"))) | |
| random.shuffle(fits_files) | |
| if config_type == "tiny": | |
| train_files = [] | |
| test_files = [] | |
| for subdir in telescope_subdirectories: | |
| subdir_files = [f for f in fits_files if subdir in f] | |
| train_files.extend(subdir_files[:2]) | |
| test_files.extend(subdir_files[2:3]) | |
| elif config_type == "full": | |
| train_files = [] | |
| test_files = [] | |
| for subdir in telescope_subdirectories: | |
| subdir_files = [f for f in fits_files if subdir in f] | |
| split_idx = int(0.8 * len(subdir_files)) | |
| train_files.extend(subdir_files[:split_idx]) | |
| test_files.extend(subdir_files[split_idx:]) | |
| else: | |
| raise ValueError("Unsupported config_type. Use 'tiny' or 'full'.") | |
| def create_jsonl(files, split_name): | |
| output_file = os.path.join(outdir, f"{config_type}_{split_name}.jsonl") | |
| with open(output_file, "w") as out_f: | |
| for file in files: | |
| print(file, flush=True, end="...") | |
| with fits.open(file, memmap=False) as hdul: | |
| image_id = os.path.basename(file).split(".fits")[0] | |
| telescope = hdul[0].header.get('TELESCOP', 'UNKNOWN') | |
| item = {"image_id": image_id, "image": file, "telescope": telescope} | |
| out_f.write(json.dumps(item) + "\n") | |
| create_jsonl(train_files, "train") | |
| create_jsonl(test_files, "test") | |
| if __name__ == "__main__": | |
| make_split_jsonl_files("tiny") | |
| make_split_jsonl_files("full") |