KreolMorisienMT / MorisienMT.py
draj
Added monolingual corpora.
a2a1cf5
import json
import os
import datasets
_CITATION = """\
Not Yet
"""
_DESCRIPTION = """\
This is the MorisienMT dataset for Muritian Creole Machine translation, English-Creole and French-Creole machine translation to be specific. See readme/datacard for details.
"""
_HOMEPAGE = "https://huggingface.co/datasets/prajdabre/MorisienMT"
_LICENSE = "Creative Commons Attribution-NonCommercial 4.0 International Public License"
_URL = "https://huggingface.co/datasets/prajdabre/MorisienMT/resolve/main/data/{}.zip"
_LANGUAGE_PAIRS = [
"en-cr",
"fr-cr",
"cr"
]
class MorisienMT(datasets.GeneratorBasedBuilder):
VERSION = datasets.Version("1.0.0")
BUILDER_CONFIGS = [
datasets.BuilderConfig(
name="{}".format(lang),
version=datasets.Version("1.0.0")
)
for lang in _LANGUAGE_PAIRS
]
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features(
{
"input": datasets.Value("string"),
"target": datasets.Value("string"),
}
),
supervised_keys=None,
homepage=_HOMEPAGE,
citation=_CITATION,
license=_LICENSE,
version=self.VERSION,
)
def _split_generators(self, dl_manager):
"""Returns SplitGenerators."""
lang = str(self.config.name)
url = _URL.format(lang)
data_dir = dl_manager.download_and_extract(url)
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"filepath": os.path.join(data_dir, lang + "_train.jsonl"),
},
),
datasets.SplitGenerator(
name=datasets.Split.TEST,
gen_kwargs={
"filepath": os.path.join(data_dir, lang + "_test.jsonl"),
},
),
datasets.SplitGenerator(
name=datasets.Split.VALIDATION,
gen_kwargs={
"filepath": os.path.join(data_dir, lang + "_dev.jsonl"),
},
),
]
def _generate_examples(self, filepath):
"""Yields examples as (key, example) tuples."""
with open(filepath, encoding="utf-8") as f:
for idx_, row in enumerate(f):
data = json.loads(row)
yield idx_, {
"input": data["input"],
"target": data["target"],
}