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wmt22_african / wmt22_african.py
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# coding=utf-8
# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""WMT22 African Languages Shared Task"""
import datasets
import csv
_CITATION = "" # TODO
_DESCRIPTION = ""
_HOMEPAGE = (
"https://www.statmt.org/wmt22/large-scale-multilingual-translation-task.html"
)
_LICENSE = (
"https://github.com/facebookresearch/LASER/blob/main/data/wmt22_african/LICENSE"
)
_LANGUAGE_PAIRS = [
("afr", "eng"),
("afr", "som"),
("amh", "eng"),
("amh", "fra"),
("amh", "nya"),
("amh", "orm"),
("amh", "sna"),
("amh", "som"),
("amh", "ssw"),
("amh", "swh"),
("amh", "tsn"),
("amh", "tso"),
("amh", "umb"),
("amh", "xho"),
("amh", "yor"),
("amh", "zul"),
("eng", "fuv"),
("eng", "hau"),
("eng", "ibo"),
("eng", "kam"),
("eng", "kin"),
("eng", "lin"),
("eng", "lug"),
("eng", "luo"),
("eng", "nso"),
("eng", "nya"),
("eng", "orm"),
("eng", "sna"),
("eng", "som"),
("eng", "ssw"),
("eng", "swh"),
("eng", "tsn"),
("eng", "tso"),
("eng", "umb"),
("eng", "wol"),
("eng", "xho"),
("eng", "yor"),
("eng", "zul"),
("fra", "hau"),
("fra", "ibo"),
("fra", "kam"),
("fra", "kin"),
("fra", "lin"),
("fra", "lug"),
("fra", "luo"),
("fra", "nso"),
("fra", "nya"),
("fra", "orm"),
("fra", "som"),
("fra", "ssw"),
("fra", "swh"),
("fra", "tsn"),
("fra", "tso"),
("fra", "umb"),
("fra", "wol"),
("fra", "xho"),
("fra", "zul"),
("fuv", "hau"),
("fuv", "ibo"),
("fuv", "kam"),
("fuv", "kin"),
("fuv", "lug"),
("fuv", "luo"),
("fuv", "nso"),
("fuv", "nya"),
("fuv", "orm"),
("fuv", "sna"),
("fuv", "som"),
("fuv", "ssw"),
("fuv", "swh"),
("fuv", "tsn"),
("fuv", "tso"),
("fuv", "umb"),
("fuv", "xho"),
("fuv", "yor"),
("fuv", "zul"),
("hau", "ibo"),
("hau", "kam"),
("hau", "kin"),
("hau", "lug"),
("hau", "luo"),
("hau", "nso"),
("hau", "nya"),
("hau", "orm"),
("hau", "sna"),
("hau", "som"),
("hau", "ssw"),
("hau", "swh"),
("hau", "tsn"),
("hau", "tso"),
("hau", "umb"),
("hau", "xho"),
("hau", "yor"),
("hau", "zul"),
("ibo", "kam"),
("ibo", "kin"),
("ibo", "lug"),
("ibo", "luo"),
("ibo", "nso"),
("ibo", "nya"),
("ibo", "orm"),
("ibo", "sna"),
("ibo", "som"),
("ibo", "ssw"),
("ibo", "swh"),
("ibo", "tsn"),
("ibo", "tso"),
("ibo", "umb"),
("ibo", "xho"),
("ibo", "yor"),
("ibo", "zul"),
("kam", "kin"),
("kam", "lug"),
("kam", "luo"),
("kam", "nso"),
("kam", "nya"),
("kam", "orm"),
("kam", "sna"),
("kam", "som"),
("kam", "ssw"),
("kam", "swh"),
("kam", "tsn"),
("kam", "tso"),
("kam", "umb"),
("kam", "xho"),
("kam", "yor"),
("kam", "zul"),
("kin", "lug"),
("kin", "luo"),
("kin", "nso"),
("kin", "nya"),
("kin", "orm"),
("kin", "sna"),
("kin", "som"),
("kin", "ssw"),
("kin", "swh"),
("kin", "tsn"),
("kin", "tso"),
("kin", "umb"),
("kin", "xho"),
("kin", "yor"),
("kin", "zul"),
("lug", "luo"),
("lug", "nso"),
("lug", "nya"),
("lug", "orm"),
("lug", "sna"),
("lug", "som"),
("lug", "ssw"),
("lug", "swh"),
("lug", "tsn"),
("lug", "tso"),
("lug", "umb"),
("lug", "xho"),
("lug", "yor"),
("lug", "zul"),
("luo", "nso"),
("luo", "nya"),
("luo", "orm"),
("luo", "sna"),
("luo", "som"),
("luo", "ssw"),
("luo", "swh"),
("luo", "tsn"),
("luo", "tso"),
("luo", "umb"),
("luo", "xho"),
("luo", "yor"),
("luo", "zul"),
("nso", "nya"),
("nso", "orm"),
("nso", "sna"),
("nso", "som"),
("nso", "ssw"),
("nso", "swh"),
("nso", "tsn"),
("nso", "tso"),
("nso", "umb"),
("nso", "xho"),
("nso", "yor"),
("nso", "zul"),
("nya", "orm"),
("nya", "sna"),
("nya", "som"),
("nya", "ssw"),
("nya", "swh"),
("nya", "tsn"),
("nya", "tso"),
("nya", "umb"),
("nya", "xho"),
("nya", "yor"),
("nya", "zul"),
("orm", "sna"),
("orm", "som"),
("orm", "ssw"),
("orm", "swh"),
("orm", "tsn"),
("orm", "tso"),
("orm", "umb"),
("orm", "xho"),
("orm", "yor"),
("orm", "zul"),
("sna", "som"),
("sna", "ssw"),
("sna", "swh"),
("sna", "tsn"),
("sna", "tso"),
("sna", "umb"),
("sna", "xho"),
("sna", "yor"),
("sna", "zul"),
("som", "ssw"),
("som", "swh"),
("som", "tsn"),
("som", "tso"),
("som", "umb"),
("som", "wol"),
("som", "xho"),
("som", "yor"),
("som", "zul"),
("ssw", "swh"),
("ssw", "tsn"),
("ssw", "tso"),
("ssw", "umb"),
("ssw", "xho"),
("ssw", "yor"),
("ssw", "zul"),
("swh", "tsn"),
("swh", "tso"),
("swh", "umb"),
("swh", "xho"),
("swh", "yor"),
("swh", "zul"),
("tsn", "tso"),
("tsn", "umb"),
("tsn", "xho"),
("tsn", "yor"),
("tsn", "zul"),
("tso", "umb"),
("tso", "xho"),
("tso", "yor"),
("tso", "zul"),
("umb", "xho"),
("umb", "yor"),
("umb", "zul"),
("xho", "yor"),
("xho", "zul"),
("yor", "zul"),
]
_URL_BASE = "https://huggingface.co/datasets/allenai/wmt22_african/resolve/main/"
_URLs = {
f"{src_lg}-{trg_lg}": f"{_URL_BASE}wmt22_african_{src_lg}-{trg_lg}.gz"
for src_lg, trg_lg in _LANGUAGE_PAIRS
}
class Wmt22AfricanTaskConfig(datasets.BuilderConfig):
"""BuilderConfig for WMT22 African Shared Task."""
def __init__(self, src_lg, tgt_lg, **kwargs):
super(Wmt22AfricanTaskConfig, self).__init__(**kwargs)
self.src_lg = src_lg
self.tgt_lg = tgt_lg
class Wmt22African(datasets.GeneratorBasedBuilder):
"""WMT African Languages Shared Task."""
BUILDER_CONFIGS = [
Wmt22AfricanTaskConfig(
name=f"{src_lg}-{tgt_lg}",
version=datasets.Version("1.0.0"),
description=f"WMT 2022 African Languages: {src_lg} - {tgt_lg}",
src_lg=src_lg,
tgt_lg=tgt_lg,
)
for (src_lg, tgt_lg) in _LANGUAGE_PAIRS
]
BUILDER_CONFIG_CLASS = Wmt22AfricanTaskConfig
def _info(self):
# define feature types
features = datasets.Features(
{
"translation": datasets.Translation(
languages=(self.config.src_lg, self.config.tgt_lg)
),
"laser_score": datasets.Value("float32"),
"source_sentence_lid": datasets.Value("float32"),
"target_sentence_lid": datasets.Value("float32"),
}
)
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=features,
supervised_keys=None,
homepage=_HOMEPAGE,
license=_LICENSE,
citation=_CITATION,
)
def _split_generators(self, dl_manager):
"""Returns SplitGenerators."""
pair = f"{self.config.src_lg}-{self.config.tgt_lg}" # string identifier for language pair
url = _URLs[pair] # url for download of pair-specific file
data_file = dl_manager.download_and_extract(
url
) # extract downloaded data and store path in data_file
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"filepath": data_file,
"source_lg": self.config.src_lg,
"target_lg": self.config.tgt_lg,
},
)
]
def _generate_examples(self, filepath, source_lg, target_lg):
with open(filepath, encoding="utf-8") as f:
# reader = csv.reader(f, delimiter="\t")
for id_, example in enumerate(f):
try:
datarow = example.split("\t")
row = {}
row["translation"] = {
source_lg: datarow[0],
target_lg: datarow[1],
} # create translation json
scores = datarow[2].split(" ")
row["laser_score"] = float(scores[0])
row["source_sentence_lid"] = float(scores[1])
row["target_sentence_lid"] = float(scores[2])
row = {
k: None if not v else v for k, v in row.items()
} # replace empty values
except:
print(datarow)
raise
yield id_, row
# to test the script, go to the root folder of the repo (wmt22_african) and run:
# datasets-cli test wmt22_african --save_infos --all_configs