Delete _wikitabletext.py

_wikitabletext.py

@@ -1,85 +0,0 @@
-#!/usr/bin/env python3
-
-"""
-The script used to load the dataset from the original source.
-"""
-
-
-import os
-from collections import defaultdict
-
-import json
-import datasets
-
-_CITATION = """\
-@inproceedings{bao2018table, 
-    title={Table-to-Text: Describing Table Region with Natural Language}, 
-    author={Junwei Bao and Duyu Tang and Nan Duan and Zhao Yan and Yuanhua Lv and Ming Zhou and Tiejun Zhao}, 
-    booktitle={AAAI}, 
-    url={https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/download/16138/16782}, 
-    year={2018} 
-}
-"""
-
-_DESCRIPTION = """\
-WikiTableText contains 5,000 tables from Wikipedia, each of which has at least 3 rows and 2 columns. 
-For each table, three rows are selected resulting in 15,000 rows that are further used for manual annotation."""
-
-_URL = "https://github.com/msra-nlc/Table2Text"
-_LICENSE = "CC BY 4.0"
-
-class WikiTableText(datasets.GeneratorBasedBuilder):
-    VERSION = datasets.Version("1.0.0")
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features({
-                "headers": datasets.Value("string"),
-                "content": datasets.Value("string"),
-                "row_number": datasets.Value("string"),
-                "reference": datasets.Value("string"),
-            }),
-            supervised_keys=None,
-            homepage=_URL,
-            citation=_CITATION,
-            license=_LICENSE,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        return [
-            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"split" : "train"}),
-            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"split" : "dev"}),
-            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"split" : "test"}),
-        ]
-
-    def _normalize(self, lst):
-        lst = lst.split("_||_")
-        lst = [x.replace("_$$_", " ") for x in lst]
-        lst = [x.replace("_", "").strip() for x in lst]
-
-        return lst
-
-    def _generate_examples(self, split):
-        """Yields examples."""
-        id_ = 0
-    
-        with open(f"MSRA_NLC.Table2Text.{split}") as f:
-            for line in f.readlines():
-                items = line.split("\t")
-                e = {
-                    "row_number" : items[0],
-                    "headers" : self._normalize(items[1]),
-                    "content" : self._normalize(items[2]),
-                    "reference" : self._normalize(items[3])[0],
-                }
-
-                id_ += 1
-                yield id_, e
-            
-
-
-if __name__ == '__main__':
-    dataset = datasets.load_dataset(__file__)
-    dataset.push_to_hub("kasnerz/wikitabletext")