Datasets:
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import os
from datasets import load_dataset
from huggingface_hub import hf_hub_download
def download_data(repo_name: str = "Persius/imr-appeals", output_dir="./data"):
"""Download adjudication data from HF hub, and save it locally in the format expected by HICRIC codebase."""
train = load_dataset(repo_name, split="train")
test = load_dataset(repo_name, split="test")
train.to_json(os.path.join(output_dir, "outcomes", "train_backgrounds_suff.jsonl"))
test.to_json(os.path.join(output_dir, "outcomes", "test_backgrounds_suff.jsonl"))
_path = hf_hub_download(repo_id="Persius/imr-appeals",
filename="case-backgrounds.jsonl",
local_dir=output_dir,
subfolder="annotated",
repo_type="dataset")
return None
if __name__ == "__main__":
download_data() |