Delete _logicnlg.py

_logicnlg.py

@@ -1,84 +0,0 @@
-#!/usr/bin/env python3
-
-"""
-The script used to load the dataset from the original source.
-"""
-
-import json
-import datasets
-import glob
-import os
-
-_CITATION = """\
-@inproceedings{chen2020logical,
-  title={Logical Natural Language Generation from Open-Domain Tables},
-  author={Chen, Wenhu and Chen, Jianshu and Su, Yu and Chen, Zhiyu and Wang, William Yang},
-  booktitle={Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
-  pages={7929--7942},
-  year={2020}
-}
-"""
-_DESCRIPTION = """\
-LogicNLG is a dataset for natural language generation from open-domain tables. 
-LogicNLG is based on TabFact (Chen et al., 2019), which is a table-based fact-checking dataset with rich logical inferences in the annotated statements.
-"""
-
-_URL = "https://github.com/wenhuchen/LogicNLG"
-_LICENSE = "MIT"
-
-class LogicNLG(datasets.GeneratorBasedBuilder):
-    VERSION = "1.0.0"
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features({
-                'table': datasets.Value(dtype='large_string'),
-                "ref": datasets.Value(dtype='string'),
-                "linked_columns": datasets.Value(dtype='string'),
-                "title": datasets.Value(dtype='string'),
-                "template": datasets.Value(dtype='string'),
-                "table_id": datasets.Value(dtype='string'),
-            }),
-            supervised_keys=None,
-            homepage="https://wenhuchen.github.io/logicnlg.github.io/",
-            citation=_CITATION,
-            license=_LICENSE,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        return [
-            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": "data", "split" : "train"}),
-            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": "data", "split" : "dev"}),
-            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": "data", "split" : "test"}),
-        ]
-
-    def _generate_examples(self, filepath, split):
-        filename = split if split != "dev" else "val"
-        data = []
-
-        with open(os.path.join(filepath, f"{filename}_lm.json")) as f:
-            j = json.load(f)
-
-        for i, (table_id, examples) in enumerate(j.items()):
-            table = []
-            with open(os.path.join(filepath, "all_csv", table_id)) as f:
-                for line in f.readlines():
-                    table.append(line.rstrip("\n").split("#"))
-
-            for example in examples:
-                data.append({
-                    "table": table,
-                    "ref": example[0],
-                    "linked_columns": example[1],
-                    "title": example[2],
-                    "template": example[3],
-                    "table_id": table_id,
-                })
-        for example_idx, entry in enumerate(data):
-            yield example_idx, {key: str(value) for key, value in entry.items()}
-
-
-if __name__ == '__main__':
-    dataset = datasets.load_dataset(__file__)
-    dataset.push_to_hub("kasnerz/logicnlg")