Upload _logic2text.py

_logic2text.py

@@ -0,0 +1,79 @@
+#!/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{chen2020logic2text,
+  title={Logic2Text: High-Fidelity Natural Language Generation from Logical Forms},
+  author={Chen, Zhiyu and Chen, Wenhu and Zha, Hanwen and Zhou, Xiyou and Zhang, Yunkai and Sundaresan, Sairam and Wang, William Yang},
+  booktitle={Findings of the Association for Computational Linguistics: EMNLP 2020},
+  pages={2096--2111},
+  year={2020}
+}
+"""
+_DESCRIPTION = """\
+Logic2Text is a large-scale dataset with 10,753 descriptions involving common logic types paired with the underlying logical forms.
+The logical forms show diversified graph structure of free schema, which poses great challenges on the model's ability to understand the semantics. 
+"""
+
+_URL = "https://github.com/czyssrs/Logic2Text"
+_LICENSE = "MIT"
+
+class Logic2Text(datasets.GeneratorBasedBuilder):
+    VERSION = "1.0.0"
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features({
+                'topic' : datasets.Value(dtype='string'),
+                'wiki' : datasets.Value(dtype='string'),
+                'url' : datasets.Value(dtype='string'),
+                'action' : datasets.Value(dtype='string'),
+                'sent' : datasets.Value(dtype='string'),
+                'annotation' : datasets.Value(dtype='string'),
+                'logic' : datasets.Value(dtype='string'),
+                'logic_str' : datasets.Value(dtype='string'),
+                'interpret' : datasets.Value(dtype='string'),
+                'num_func' : datasets.Value(dtype='string'),
+                'nid' : datasets.Value(dtype='string'),
+                'g_ids' : datasets.Value(dtype='string'),
+                'g_ids_features' : datasets.Value(dtype='string'),
+                'g_adj' : datasets.Value(dtype='string'),
+                'table_header' : datasets.Value(dtype='string'),
+                'table_cont' : datasets.Value(dtype='large_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={"filepath": "dataset", "split" : "train"}),
+            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": "dataset", "split" : "dev"}),
+            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": "dataset", "split" : "test"}),
+        ]
+
+    def _generate_examples(self, filepath, split):
+        data = []
+        filename = split if split != "dev" else "valid"
+
+        with open(os.path.join(filepath, f"{filename}.json")) as f:
+            data = json.load(f)
+
+        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/logic2text")