Delete _logic2text.py
Browse files- _logic2text.py +0 -79
_logic2text.py
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#!/usr/bin/env python3
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"""
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The script used to load the dataset from the original source.
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"""
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import json
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import datasets
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import glob
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import os
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_CITATION = """\
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@inproceedings{chen2020logic2text,
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title={Logic2Text: High-Fidelity Natural Language Generation from Logical Forms},
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author={Chen, Zhiyu and Chen, Wenhu and Zha, Hanwen and Zhou, Xiyou and Zhang, Yunkai and Sundaresan, Sairam and Wang, William Yang},
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booktitle={Findings of the Association for Computational Linguistics: EMNLP 2020},
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pages={2096--2111},
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year={2020}
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}
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"""
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_DESCRIPTION = """\
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Logic2Text is a large-scale dataset with 10,753 descriptions involving common logic types paired with the underlying logical forms.
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The logical forms show diversified graph structure of free schema, which poses great challenges on the model's ability to understand the semantics.
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"""
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_URL = "https://github.com/czyssrs/Logic2Text"
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_LICENSE = "MIT"
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class Logic2Text(datasets.GeneratorBasedBuilder):
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VERSION = "1.0.0"
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def _info(self):
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=datasets.Features({
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'topic' : datasets.Value(dtype='string'),
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'wiki' : datasets.Value(dtype='string'),
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'url' : datasets.Value(dtype='string'),
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'action' : datasets.Value(dtype='string'),
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'sent' : datasets.Value(dtype='string'),
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'annotation' : datasets.Value(dtype='string'),
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'logic' : datasets.Value(dtype='string'),
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'logic_str' : datasets.Value(dtype='string'),
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'interpret' : datasets.Value(dtype='string'),
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'num_func' : datasets.Value(dtype='string'),
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'nid' : datasets.Value(dtype='string'),
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'g_ids' : datasets.Value(dtype='string'),
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'g_ids_features' : datasets.Value(dtype='string'),
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'g_adj' : datasets.Value(dtype='string'),
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'table_header' : datasets.Value(dtype='string'),
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'table_cont' : datasets.Value(dtype='large_string'),
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}),
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supervised_keys=None,
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homepage=_URL,
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citation=_CITATION,
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license=_LICENSE,
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)
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def _split_generators(self, dl_manager):
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"""Returns SplitGenerators."""
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return [
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datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": "dataset", "split" : "train"}),
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datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": "dataset", "split" : "dev"}),
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datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": "dataset", "split" : "test"}),
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]
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def _generate_examples(self, filepath, split):
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data = []
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filename = split if split != "dev" else "valid"
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with open(os.path.join(filepath, f"{filename}.json")) as f:
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data = json.load(f)
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for example_idx, entry in enumerate(data):
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yield example_idx, {key: str(value) for key, value in entry.items()}
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if __name__ == '__main__':
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dataset = datasets.load_dataset(__file__)
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dataset.push_to_hub("kasnerz/logic2text")
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