conversion_script.py

#!/usr/bin/env python3

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

# 1) Install dependencies:
#    pip install git+https://github.com/TheMrSheldon/causality-toolkit.git
# 2) Download these files from the UniCausal repository or the original CNC repository:
#    Original: https://github.com/tanfiona/CausalNewsCorpus
#    UniCausal: https://github.com/tanfiona/UniCausal
#    The expected file names are cnc_train.csv and cnc_test.csv in UniCausal's data/splits/ format.

from pathlib import Path

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

converter = UniCausal2HF({"train": Path.cwd() / "cnc_train.csv",
                         "test": Path.cwd() / "cnc_test.csv"}, Path.cwd())

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