#!/usr/bin/env python3

"""
Run this script as ./conversion_script.py to convert the UniCausal ESL files to HF-compatible parquet files.

Note: UniCausal refers to this dataset as 'esl2' in its processed splits.
"""

# 1) Install dependencies:
#    pip install git+https://github.com/TheMrSheldon/causality-toolkit.git
# 2) Source files (fetched automatically via pandas):
#  - https://raw.githubusercontent.com/tanfiona/UniCausal/refs/heads/main/data/splits/esl2_train.csv
#  - https://raw.githubusercontent.com/tanfiona/UniCausal/refs/heads/main/data/splits/esl2_test.csv

from pathlib import Path

from ctk.data.constants import Task
from ctk.data.conversion import UniCausal2HF

converter = UniCausal2HF({"train": "https://raw.githubusercontent.com/tanfiona/UniCausal/refs/heads/main/data/splits/esl2_train.csv",
                         "test": "https://raw.githubusercontent.com/tanfiona/UniCausal/refs/heads/main/data/splits/esl2_test.csv"}, Path.cwd(), grouped=False)

converter.convert(Task.CausalityDetection, "train")
converter.convert(Task.CausalityDetection, "test")
converter.convert(Task.CausalityIdentification, "train")
converter.convert(Task.CausalityIdentification, "test")