nl2bash / nl2bash.py
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Create nl2bash.py
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import json
import datasets
_CITATION = """\
@inproceedings{LinWZE2018:NL2Bash,
author = {Xi Victoria Lin and Chenglong Wang and Luke Zettlemoyer and Michael D. Ernst},
title = {NL2Bash: A Corpus and Semantic Parser for Natural Language Interface to the Linux Operating System},
booktitle = {Proceedings of the Eleventh International Conference on Language Resources
and Evaluation {LREC} 2018, Miyazaki (Japan), 7-12 May, 2018.},
year = {2018}
}
"""
_DESCRIPTION = """\
The dataset is constructed from
https://github.com/TellinaTool/nl2bash
"""
_HOMEPAGE = ""
_LICENSE = ""
_URL = "https://www.dropbox.com/s/wy7uahzbir7lrq1/nl2bash.zip?dl=1"
class NL2Bash(datasets.GeneratorBasedBuilder):
"""The NL2Bash dataset"""
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features(
{
"nl": datasets.Value("string"),
"bash": datasets.Value("string")
}
),
supervised_keys=None,
homepage=_HOMEPAGE,
license=_LICENSE,
citation=_CITATION,
)
def _split_generators(self, dl_manager):
"""Return SplitGenerators"""
downloaded_files = dl_manager.download_and_extract(_URL)
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={"filepath": downloaded_files + "/nl2bash/train.json"}
),
datasets.SplitGenerator(
name=datasets.Split.VALIDATION,
gen_kwargs={"filepath": downloaded_files + "/nl2bash/dev.json"}
),
datasets.SplitGenerator(
name=datasets.Split.TEST,
gen_kwargs={"filepath": downloaded_files + "/nl2bash/test.json"}
)
]
def _generate_examples(self, filepath):
"""Yields examples."""
with open(filepath) as fin:
data = json.load(fin)
for i, line in enumerate(data):
entry = {
"nl": line["nl"],
"bash": line["bash"],
}
yield i, entry