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import os
import json
from datasets import load_from_disk, load_dataset, DatasetDict
from util import PARTITIONING_CATS
def download_dir(repo_name: str = "persius/hicric", output_dir="./arrow_data"):
"""Download the dir from HF hub without cloning, if you like, and save locally."""
ds_dict = DatasetDict()
for split in PARTITIONING_CATS:
ds = load_dataset(repo_name, name=split)
ds_dict[split] = ds
ds_dict.save_to_disk(output_dir)
return None
def repopulate_dir(
hf_data_dir: str = "./arrow_data", rehydrate_target_dir: str = "./data/processed"
):
"""Rehydrate the HICRIC processed data dir from the HF Dataset.
This hydrates the data in the same format in which it was/is originally produced in
the HICRIC repository's code.
"""
for split in PARTITIONING_CATS:
dataset = load_from_disk(os.path.join(hf_data_dir, split, "train"))
# Get individual lines
for instance in dataset:
# Extract the output file/directory associated with line
rel_path = instance["relative_path"]
output_file_path = os.path.join(rehydrate_target_dir, rel_path)
output_directory = os.path.join(
rehydrate_target_dir, os.path.dirname(rel_path)
)
os.makedirs(output_directory, exist_ok=True)
with open(output_file_path, "a") as writer:
writer.write(json.dumps(instance) + "\n")
print(f"Repopulated data saved to {rehydrate_target_dir}")
return None
if __name__ == "__main__":
download_dir()
repopulate_dir()
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