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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") |