Datasets:
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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"], | |
} |