Upload _wikitabletext.py

_wikitabletext.py

@@ -0,0 +1,85 @@
+#!/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")