| #!/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") | |