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