File size: 2,567 Bytes
83d24b2 | 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 | from __future__ import annotations
from mteb.abstasks.TaskMetadata import TaskMetadata
from ....abstasks import AbsTaskClassification, MultilingualTask
_LANGUAGES = {
"af": ["afr-Latn"],
"am": ["amh-Ethi"],
"ar": ["ara-Arab"],
"az": ["aze-Latn"],
"bn": ["ben-Beng"],
"cy": ["cym-Latn"],
"da": ["dan-Latn"],
"de": ["deu-Latn"],
"el": ["ell-Grek"],
"en": ["eng-Latn"],
"es": ["spa-Latn"],
"fa": ["fas-Arab"],
"fi": ["fin-Latn"],
"fr": ["fra-Latn"],
"he": ["heb-Hebr"],
"hi": ["hin-Deva"],
"hu": ["hun-Latn"],
"hy": ["hye-Armn"],
"id": ["ind-Latn"],
"is": ["isl-Latn"],
"it": ["ita-Latn"],
"ja": ["jpn-Jpan"],
"jv": ["jav-Latn"],
"ka": ["kat-Geor"],
"km": ["khm-Khmr"],
"kn": ["kan-Knda"],
"ko": ["kor-Kore"],
"lv": ["lav-Latn"],
"ml": ["mal-Mlym"],
"mn": ["mon-Cyrl"],
"ms": ["msa-Latn"],
"my": ["mya-Mymr"],
"nb": ["nob-Latn"],
"nl": ["nld-Latn"],
"pl": ["pol-Latn"],
"pt": ["por-Latn"],
"ro": ["ron-Latn"],
"ru": ["rus-Cyrl"],
"sl": ["slv-Latn"],
"sq": ["sqi-Latn"],
"sv": ["swe-Latn"],
"sw": ["swa-Latn"],
"ta": ["tam-Taml"],
"te": ["tel-Telu"],
"th": ["tha-Thai"],
"tl": ["tgl-Latn"],
"tr": ["tur-Latn"],
"ur": ["urd-Arab"],
"vi": ["vie-Latn"],
"zh-CN": ["cmo-Hans"],
"zh-TW": ["cmo-Hant"],
}
class MassiveScenarioClassification(MultilingualTask, AbsTaskClassification):
fast_loading = True
metadata = TaskMetadata(
name="MassiveScenarioClassification",
dataset={
"path": "mteb/amazon_massive_scenario",
"revision": "fad2c6e8459f9e1c45d9315f4953d921437d70f8",
},
description="MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages",
reference="https://arxiv.org/abs/2204.08582#:~:text=MASSIVE%20contains%201M%20realistic%2C%20parallel,diverse%20languages%20from%2029%20genera.",
category="s2s",
type="Classification",
eval_splits=["validation", "test"],
eval_langs=_LANGUAGES,
main_score="accuracy",
date=None,
form=None,
domains=None,
task_subtypes=None,
license=None,
socioeconomic_status=None,
annotations_creators=None,
dialect=None,
text_creation=None,
bibtex_citation=None,
n_samples={"validation": 2033, "test": 2974},
avg_character_length={"validation": 34.8, "test": 34.6},
)
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