File size: 12,259 Bytes
eaaf221 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 |
# coding=utf-8
# Copyright 2022 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.
import csv
from fnmatch import translate
import os
import re
from pathlib import Path
from typing import Dict, List, Tuple
from translate.storage.tmx import tmxfile
import datasets
from nusacrowd.utils import schemas
from nusacrowd.utils.configs import NusantaraConfig
from nusacrowd.utils.constants import Tasks
_CITATION = """\
@inproceedings{anastasopoulos-etal-2020-tico,
title = "{TICO}-19: the Translation Initiative for {CO}vid-19",
author = {Anastasopoulos, Antonios and
Cattelan, Alessandro and
Dou, Zi-Yi and
Federico, Marcello and
Federmann, Christian and
Genzel, Dmitriy and
Guzm{\'a}n, Franscisco and
Hu, Junjie and
Hughes, Macduff and
Koehn, Philipp and
Lazar, Rosie and
Lewis, Will and
Neubig, Graham and
Niu, Mengmeng and
{\"O}ktem, Alp and
Paquin, Eric and
Tang, Grace and
Tur, Sylwia},
booktitle = "Proceedings of the 1st Workshop on {NLP} for {COVID}-19 (Part 2) at {EMNLP} 2020",
month = dec,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.nlpcovid19-2.5",
doi = "10.18653/v1/2020.nlpcovid19-2.5",
}
"""
# We follow ISO639-3 language code (https://iso639-3.sil.org/code_tables/639/data)
_LANGUAGES = ["ind", "ara", "spa", "fra", "hin", "por", "rus", "zho", "eng"]
_LOCAL = False
_SUPPORTED_LANG_PAIRS = [
("ind", "ara"), ("ind", "spa"), ("ind", "fra"), ("ind", "hin"), ("ind", "por"), ("ind", "rus"), ("ind", "zho"), ("ind", "eng"),
("ara", "ind"), ("spa", "ind"), ("fra", "ind"), ("hin", "ind"), ("por", "ind"), ("rus", "ind"), ("zho", "ind"), ("eng", "ind")
]
_LANG_CODE_MAP = {
"ind": "id",
"ara": "ar",
"spa": "es-LA",
"fra": "fr",
"hin": "hi",
"por": "pt-BR",
"rus": "ru",
"zho": "zh",
"eng": "en"
}
_DATASETNAME = "tico_19"
_DESCRIPTION = """\
TICO-19 (Translation Initiative for COVID-19) is sampled from a variety of public sources containing
COVID-19 related content, representing different domains (e.g., news, wiki articles, and others). TICO-19
includes 30 documents (3071 sentences, 69.7k words) translated from English into 36 languages: Amharic,
Arabic (Modern Standard), Bengali, Chinese (Simplified), Dari, Dinka, Farsi, French (European), Hausa,
Hindi, Indonesian, Kanuri, Khmer (Central), Kinyarwanda, Kurdish Kurmanji, Kurdish Sorani, Lingala,
Luganda, Malay, Marathi, Myanmar, Nepali, Nigerian Fulfulde, Nuer, Oromo, Pashto, Portuguese (Brazilian),
Russian, Somali, Spanish (Latin American), Swahili, Congolese Swahili, Tagalog, Tamil, Tigrinya, Urdu, Zulu.
"""
_HOMEPAGE = "https://tico-19.github.io"
_LICENSE = "CC0"
_URLS = {
"evaluation": "https://tico-19.github.io/data/tico19-testset.zip",
"all": "https://tico-19.github.io/data/TM/all.{lang_pairs}.tmx.zip"
}
_SUPPORTED_TASKS = [Tasks.MACHINE_TRANSLATION]
_SOURCE_VERSION = "1.0.0"
_NUSANTARA_VERSION = "1.0.0"
def nusantara_config_constructor(lang_source, lang_target, schema, version):
"""Construct NusantaraConfig with tico_19_{lang_source}_{lang_target}_{schema} as the name format"""
if schema != "source" and schema != "nusantara_t2t":
raise ValueError(f"Invalid schema: {schema}")
if lang_source == "" and lang_target == "":
return NusantaraConfig(
name="tico_19_{schema}".format(schema=schema),
version=datasets.Version(version),
description="tico_19 {schema} schema for default language pair (eng-ind)".format(schema=schema),
schema=schema,
subset_id="tico_19",
)
else:
return NusantaraConfig(
name="tico_19_{src}_{tgt}_{schema}".format(src=lang_source, tgt=lang_target, schema=schema),
version=datasets.Version(version),
description="tico_19 {schema} schema for {src}-{tgt} language pair".format(src=lang_source, tgt=lang_target, schema=schema),
schema=schema,
subset_id="tico_19",
)
class Tico19(datasets.GeneratorBasedBuilder):
"""TICO-19 is MT dataset sampled from a variety of public sources containing COVID-19 related content"""
SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
NUSANTARA_VERSION = datasets.Version(_NUSANTARA_VERSION)
BUILDER_CONFIGS = [
nusantara_config_constructor(src, tgt, schema, version)
for src, tgt in [("", "")] + _SUPPORTED_LANG_PAIRS for schema, version in zip(["source", "nusantara_t2t"], [_SOURCE_VERSION, _NUSANTARA_VERSION])
]
DEFAULT_CONFIG_NAME = "tico_19_source"
def _info(self) -> datasets.DatasetInfo:
if self.config.schema == "source":
features = datasets.Features(
{
"sourceLang": datasets.Value("string"),
"targetLang": datasets.Value("string"),
"sourceString": datasets.Value("string"),
"targetString": datasets.Value("string"),
"stringID": datasets.Value("string"),
"url": datasets.Value("string"),
"license": datasets.Value("string"),
"translatorId": 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]:
"""Returns SplitGenerators."""
try:
lang_pairs_config = re.search("tico_19_(.+?)_(source|nusantara_t2t)", self.config.name).group(1)
lang_src, lang_tgt = lang_pairs_config.split("_")
except AttributeError:
lang_src, lang_tgt = "eng", "ind"
lang_pairs = _LANG_CODE_MAP[lang_src] + "-" + _LANG_CODE_MAP[lang_tgt]
# dev & test split only applicable to eng-ind language pair
if lang_pairs in ["en-id", "id-en"]:
data_dir = dl_manager.download_and_extract(_URLS["evaluation"])
return [
datasets.SplitGenerator(
name=datasets.Split.TEST,
gen_kwargs={
"filepath": os.path.join(data_dir, "tico19-testset", "test", f"test.en-id.tsv"),
"lang_source": lang_src,
"lang_target": lang_tgt
},
),
datasets.SplitGenerator(
name=datasets.Split.VALIDATION,
gen_kwargs={
"filepath": os.path.join(data_dir, "tico19-testset", "dev", f"dev.en-id.tsv"),
"lang_source": lang_src,
"lang_target": lang_tgt
},
),
]
else:
data_dir = dl_manager.download_and_extract(_URLS["all"].format(lang_pairs=lang_pairs))
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"filepath": os.path.join(data_dir, f"all.{lang_pairs}.tmx"),
"lang_source": lang_src,
"lang_target": lang_tgt
},
)
]
def _generate_examples(self, filepath: Path, lang_source: str, lang_target: str) -> Tuple[int, Dict]:
"""Yields examples as (key, example) tuples."""
if self.config.schema == "source":
# eng-ind language pair dataset provided in .tsv format
if (lang_source == "eng" and lang_target == "ind") or (lang_source == "ind" and lang_target == "eng"):
with open(filepath, encoding="utf-8") as f:
reader = csv.reader(f, delimiter="\t", quotechar='"')
for id_, row in enumerate(reader):
if id_ == 0:
continue
if lang_source == "eng":
source_lang = row[0]
target_lang = row[1]
source_string = row[2]
target_string = row[3]
else:
source_lang = row[1]
target_lang = row[0]
source_string = row[3]
target_string = row[2]
yield id_, {
"sourceLang": source_lang,
"targetLang": target_lang,
"sourceString": source_string,
"targetString": target_string,
"stringID": row[4],
"url": row[5],
"license": row[6],
"translatorId": row[7],
}
# all language pairs except eng-ind dataset provided in .tmx format
else:
with open(filepath, "rb") as f:
tmx_file = tmxfile(f)
for id_, node in enumerate(tmx_file.unit_iter()):
try:
url = [text for text in node.xmlelement.itertext('prop')][0]
except:
url = ""
yield id_, {
"sourceLang": _LANG_CODE_MAP[lang_source],
"targetLang": _LANG_CODE_MAP[lang_target],
"sourceString": node.source,
"targetString": node.target,
"stringID": node.getid(),
"url": url,
"license": "",
"translatorId": "",
}
elif self.config.schema == "nusantara_t2t":
if (lang_source == "eng" and lang_target == "ind") or (lang_source == "ind" and lang_target == "eng"):
with open(filepath, encoding="utf-8") as f:
reader = csv.reader(f, delimiter="\t", quotechar='"')
for id_, row in enumerate(reader):
if id_ == 0:
continue
if lang_source == "eng":
source_string = row[2]
target_string = row[3]
else:
source_string = row[3]
target_string = row[2]
yield id_, {
"id": row[4],
"text_1": source_string,
"text_2": target_string,
"text_1_name": lang_source,
"text_2_name": lang_target
}
else:
with open(filepath, "rb") as f:
tmx_file = tmxfile(f)
for id_, node in enumerate(tmx_file.unit_iter()):
yield id_, {
"id": node.getid(),
"text_1": node.source,
"text_2": node.target,
"text_1_name": lang_source,
"text_2_name": lang_target
}
|