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# coding=utf-8
# Lint as: python3
"""mindgames datasets"""
import json
import datasets
CITATION = r"""
@article{sileo2023mindgames,
title={MindGames: Targeting Theory of Mind in Large Language Models with Dynamic Epistemic Modal Logic},
author={Sileo, Damien and Lernould, Antoine},
journal={arXiv preprint arXiv:2305.03353},
year={2023}
}
"""
DESCRIPTION = """\
mindgames json tasks
"""
CONFIGS=['forehead','forehead_mirror','explicit','internal','all']
_URLs = {(x,y):f'https://huggingface.co/datasets/sileod/mindgames/resolve/main/data/{x}-{y}.jsonl' for x in ['train','validation','test'] for y in CONFIGS}
files = ['-'.join(x) for x in _URLs]
class mindgamesConfig(datasets.BuilderConfig):
citation=CITATION
class mindgames(datasets.GeneratorBasedBuilder):
DEFAULT_CONFIG_NAME = "all"
BUILDER_CONFIGS = [
mindgamesConfig(
name=n,
data_dir=n
) for n in CONFIGS
]
def _split_generators(self, dl_manager: datasets.DownloadManager):
data_file = dl_manager.download(_URLs)
return [
datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": data_file['train',self.config.data_dir]}),
datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": data_file['validation',self.config.data_dir]}),
datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": data_file['test',self.config.data_dir]}),
]
def _info(self):
return datasets.DatasetInfo()
def _generate_examples(self, filepath):
print(filepath)
"""Yields examples."""
with open(filepath, "r", encoding="utf-8") as f:
for id_, line in enumerate(f):
line_dict = json.loads(line)
line_dict['label']=['not_entailment','entailment'][line_dict['label']]
yield id_, line_dict |