Datasets:
ArXiv:
License:
File size: 4,089 Bytes
821e463 4cba128 821e463 0e1af0f c7ca5de 0e1af0f c7ca5de 0e1af0f c7ca5de 0e1af0f c7ca5de 4cba128 0e1af0f c7ca5de 0e1af0f 4cba128 0e1af0f 821e463 4cba128 821e463 c7ca5de 821e463 c7ca5de 821e463 |
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 |
#!/usr/bin/python3
# -*- coding: utf-8 -*-
from glob import glob
import json
import os
from pathlib import Path
import datasets
_URLS = {
"amazon_reviews_multi": "data/amazon_reviews_multi.jsonl",
"mike0307": "data/mike0307.jsonl",
"nbnn": "data/nbnn.jsonl",
"nordic_langid": "data/nordic_langid.jsonl",
"scandi_langid": "data/scandi_langid.jsonl",
"stsb_multi_mt": "data/stsb_multi_mt.jsonl",
"xnli": "data/xnli.jsonl",
}
_CITATION = """\
@dataset{language_identification,
author = {Xing Tian},
title = {language_identification},
month = aug,
year = 2024,
publisher = {Xing Tian},
version = {1.0},
}
"""
LANGUAGE_MAP = {
"ar": "arabic",
"bg": "bulgarian",
"da": "danish",
"de": "german",
"el": "modern greek",
"en": "english",
"es": "spanish",
"fo": "faroese",
"fr": "french",
"hi": "hindi",
"is": "icelandic",
"it": "italian",
"ja": "japanese",
"nl": "dutch",
"no": "norwegian",
"no-b": "norwegian (bokmål)",
"no-n": "norwegian (nynorsk)",
"pl": "polish",
"pt": "portuguese",
"ru": "russian",
"sw": "swahili",
"sv": "swedish",
"th": "thai",
"tr": "turkish",
"ur": "urdu",
"vi": "vietnamese",
"zh-cn": "simplified chinese",
"zh-tw": "traditional chinese",
}
class LanguageIdentification(datasets.GeneratorBasedBuilder):
VERSION = datasets.Version("1.0.0")
BUILDER_CONFIGS = [
datasets.BuilderConfig(name="amazon_reviews_multi", version=VERSION, description="amazon_reviews_multi"),
datasets.BuilderConfig(name="mike0307", version=VERSION, description="mike0307"),
datasets.BuilderConfig(name="nbnn", version=VERSION, description="nbnn"),
datasets.BuilderConfig(name="nordic_langid", version=VERSION, description="nordic_langid"),
datasets.BuilderConfig(name="scandi_langid", version=VERSION, description="scandi_langid"),
datasets.BuilderConfig(name="stsb_multi_mt", version=VERSION, description="stsb_multi_mt"),
datasets.BuilderConfig(name="xnli", version=VERSION, description="xnli"),
]
def _info(self):
features = datasets.Features(
{
"text": datasets.Value("string"),
"language": datasets.Value("string"),
"data_source": datasets.Value("string"),
}
)
return datasets.DatasetInfo(
features=features,
supervised_keys=None,
homepage="",
license="",
citation=_CITATION,
)
def _split_generators(self, dl_manager):
"""Returns SplitGenerators."""
url = _URLS[self.config.name]
dl_path = dl_manager.download(url)
archive_path = dl_path
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={"archive_path": archive_path, "split": "train"},
),
datasets.SplitGenerator(
name=datasets.Split.VALIDATION,
gen_kwargs={"archive_path": archive_path, "split": "validation"},
),
datasets.SplitGenerator(
name=datasets.Split.TEST,
gen_kwargs={"archive_path": archive_path, "split": "test"},
),
]
def _generate_examples(self, archive_path, split):
archive_path = Path(archive_path)
idx = 0
with open(archive_path, "r", encoding="utf-8") as f:
for row in f:
sample = json.loads(row)
if sample["split"] != split:
continue
language = sample["language"]
if language not in LANGUAGE_MAP.keys():
raise AssertionError(language)
yield idx, {
"text": sample["text"],
"language": language,
"data_source": sample["data_source"],
}
idx += 1
if __name__ == '__main__':
pass
|