Datasets:
Multilinguality:
translation
Size Categories:
100K<n<1M
Language Creators:
machine-generated
Source Datasets:
original
ArXiv:
License:
File size: 4,361 Bytes
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"""`generated_reviews_enth`: Generated product reviews dataset for machine translation quality prediction, part of [scb-mt-en-th-2020](https://arxiv.org/pdf/2007.03541.pdf)"""
import json
import os
import datasets
_CITATION = """\
@article{lowphansirikul2020scb,
title={scb-mt-en-th-2020: A Large English-Thai Parallel Corpus},
author={Lowphansirikul, Lalita and Polpanumas, Charin and Rutherford, Attapol T and Nutanong, Sarana},
journal={arXiv preprint arXiv:2007.03541},
year={2020}
}
"""
_DESCRIPTION = """\
`generated_reviews_enth`
Generated product reviews dataset for machine translation quality prediction, part of [scb-mt-en-th-2020](https://arxiv.org/pdf/2007.03541.pdf)
`generated_reviews_enth` is created as part of [scb-mt-en-th-2020](https://arxiv.org/pdf/2007.03541.pdf) for machine translation task.
This dataset (referred to as `generated_reviews_yn` in [scb-mt-en-th-2020](https://arxiv.org/pdf/2007.03541.pdf)) are English product reviews
generated by [CTRL](https://arxiv.org/abs/1909.05858), translated by Google Translate API and annotated as accepted or rejected (`correct`)
based on fluency and adequacy of the translation by human annotators.
This allows it to be used for English-to-Thai translation quality esitmation (binary label), machine translation, and sentiment analysis.
"""
class GeneratedReviewsEnthConfig(datasets.BuilderConfig):
"""BuilderConfig for GeneratedReviewsEnth."""
def __init__(self, **kwargs):
"""BuilderConfig for GeneratedReviewsEnth.
Args:
**kwargs: keyword arguments forwarded to super.
"""
super(GeneratedReviewsEnthConfig, self).__init__(**kwargs)
self.language_pair = ("en", "th")
class GeneratedReviewsEnth(datasets.GeneratorBasedBuilder):
"""`generated_reviews_enth`: Generated product reviews dataset for machine translation quality prediction, part of [scb-mt-en-th-2020](https://arxiv.org/pdf/2007.03541.pdf)"""
_DOWNLOAD_URL = "https://github.com/vistec-AI/generated_reviews_enth/raw/main/data.zip"
_TRAIN_FILE = "train.jsonl"
_VAL_FILE = "valid.jsonl"
_TEST_FILE = "test.jsonl"
BUILDER_CONFIG_CLASS = GeneratedReviewsEnthConfig
BUILDER_CONFIGS = [
GeneratedReviewsEnthConfig(
name="generated_reviews_enth",
version=datasets.Version("1.0.0"),
description="`generated_reviews_enth`: Generated product reviews dataset for machine translation quality prediction, part of [scb-mt-en-th-2020](https://arxiv.org/pdf/2007.03541.pdf)",
),
]
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features(
{
"translation": datasets.features.Translation(languages=self.config.language_pair),
"review_star": datasets.Value("int32"),
"correct": datasets.features.ClassLabel(names=["neg", "pos"]),
}
),
supervised_keys=None,
homepage="https://github.com/vistec-AI/generated_reviews_enth",
citation=_CITATION,
)
def _split_generators(self, dl_manager):
arch_path = dl_manager.download_and_extract(self._DOWNLOAD_URL)
data_dir = os.path.join(arch_path, "data")
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN, gen_kwargs={"filepath": os.path.join(data_dir, self._TRAIN_FILE)}
),
datasets.SplitGenerator(
name=datasets.Split.VALIDATION, gen_kwargs={"filepath": os.path.join(data_dir, self._VAL_FILE)}
),
datasets.SplitGenerator(
name=datasets.Split.TEST, gen_kwargs={"filepath": os.path.join(data_dir, self._TEST_FILE)}
),
]
def _generate_examples(self, filepath):
"""Generate generated_reviews_enth examples."""
source, target = self.config.language_pair
with open(filepath, encoding="utf-8") as f:
for id_, row in enumerate(f):
data = json.loads(row)
yield id_, {
"translation": {source: data["en_segment"], target: data["th_segment"]},
"review_star": data["review_star"],
"correct": data["correct"],
}
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