|
|
|
|
|
""" |
|
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") |
