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from pathlib import Path
from typing import List
import datasets
from nusacrowd.utils import schemas
from nusacrowd.utils.configs import NusantaraConfig
from nusacrowd.utils.constants import Tasks, DEFAULT_SOURCE_VIEW_NAME, DEFAULT_NUSANTARA_VIEW_NAME
_DATASETNAME = "stif_indonesia"
_SOURCE_VIEW_NAME = DEFAULT_SOURCE_VIEW_NAME
_UNIFIED_VIEW_NAME = DEFAULT_NUSANTARA_VIEW_NAME
_LANGUAGES = ["ind"] # We follow ISO639-3 language code (https://iso639-3.sil.org/code_tables/639/data)
_LOCAL = False
_CITATION = """\
@inproceedings{wibowo2020semi,
title={Semi-supervised low-resource style transfer of indonesian informal to formal language with iterative forward-translation},
author={Wibowo, Haryo Akbarianto and Prawiro, Tatag Aziz and Ihsan, Muhammad and Aji, Alham Fikri and Prasojo, Radityo Eko and Mahendra, Rahmad and Fitriany, Suci},
booktitle={2020 International Conference on Asian Language Processing (IALP)},
pages={310--315},
year={2020},
organization={IEEE}
}
"""
_DESCRIPTION = """\
STIF-Indonesia is formal-informal (bahasa baku - bahasa alay/slang) style transfer for Indonesian. Texts were collected from Twitter. Then, native speakers were aksed to transform the text into formal style.
"""
_HOMEPAGE = "https://github.com/haryoa/stif-indonesia"
_LICENSE = "MIT"
_BASEURL = "https://raw.githubusercontent.com/haryoa/stif-indonesia/main/data/labelled/"
_URLs = {
"dev.for": _BASEURL + "dev.for",
"dev.inf": _BASEURL + "dev.inf",
"test.for": _BASEURL + "test.for",
"test.inf": _BASEURL + "test.inf",
"train.for": _BASEURL + "train.for",
"train.inf": _BASEURL + "train.inf",
}
_SUPPORTED_TASKS = [Tasks.PARAPHRASING]
_SOURCE_VERSION = "1.0.0"
_NUSANTARA_VERSION = "1.0.0"
class STIFIndonesia(datasets.GeneratorBasedBuilder):
"""STIF-Indonesia is formal-informal/colloquial style transfer for Indonesian."""
BUILDER_CONFIGS = [
NusantaraConfig(
name="stif_indonesia_source",
version=datasets.Version(_SOURCE_VERSION),
description="STIF Indonesia source schema",
schema="source",
subset_id="stif_indonesia",
),
NusantaraConfig(
name="stif_indonesia_nusantara_t2t",
version=datasets.Version(_NUSANTARA_VERSION),
description="STIF Indonesia Nusantara schema",
schema="nusantara_t2t",
subset_id="stif_indonesia",
),
]
DEFAULT_CONFIG_NAME = "stif_indonesia_source"
def _info(self):
if self.config.schema == "source":
features = datasets.Features({"id": datasets.Value("string"), "formal": datasets.Value("string"), "informal": datasets.Value("string")})
elif self.config.schema == "nusantara_t2t":
features = schemas.text2text_features
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=features,
homepage=_HOMEPAGE,
license=_LICENSE,
citation=_CITATION,
)
def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
data_files = {}
for key in _URLs:
data_files[key] = Path(dl_manager.download_and_extract(_URLs[key]))
return [
datasets.SplitGenerator(
name=datasets.Split.TEST,
gen_kwargs={
"filepath": {
"formal": data_files["test.for"],
"informal": data_files["test.inf"],
}
},
),
datasets.SplitGenerator(
name=datasets.Split.VALIDATION,
gen_kwargs={
"filepath": {
"formal": data_files["dev.for"],
"informal": data_files["dev.inf"],
}
},
),
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"filepath": {
"formal": data_files["train.for"],
"informal": data_files["train.inf"],
}
},
),
]
def _generate_examples(self, filepath: Path):
data_for = open(filepath["formal"], "r").readlines()
data_inf = open(filepath["informal"], "r").readlines()
if self.config.schema == "source":
for id, (row_for, row_inf) in enumerate(zip(data_for, data_inf)):
ex = {"id": id, "formal": row_for.strip(), "informal": row_inf.strip()}
yield id, ex
elif self.config.schema == "nusantara_t2t":
for id, (row_for, row_inf) in enumerate(zip(data_for, data_inf)):
ex = {
"id": id,
"text_1": row_for.strip(),
"text_2": row_inf.strip(),
"text_1_name": "formal",
"text_2_name": "informal",
}
yield id, ex
else:
raise ValueError(f"Invalid config: {self.config.name}")
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