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73cc8d2 | 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 | from __future__ import annotations
from datasets import load_dataset
from mteb.abstasks.TaskMetadata import TaskMetadata
from ....abstasks import MultilingualTask
from ....abstasks.AbsTaskRetrieval import AbsTaskRetrieval
_EVAL_SPLIT = "test"
_LANGS = {
"acm": ["acm-Arab"],
"afr": ["afr-Latn"],
"als": ["als-Latn"],
"amh": ["amh-Ethi"],
"apc": ["apc-Arab"],
"arb": ["arb-Arab"],
"ars": ["ars-Arab"],
"ary": ["ary-Arab"],
"arz": ["arz-Arab"],
"asm": ["asm-Beng"],
"azj": ["azj-Latn"],
"bam": ["bam-Latn"],
"ben": ["ben-Beng"],
"bod": ["bod-Tibt"],
"bul": ["bul-Cyrl"],
"cat": ["cat-Latn"],
"ceb": ["ceb-Latn"],
"ces": ["ces-Latn"],
"ckb": ["ckb-Arab"],
"dan": ["dan-Latn"],
"deu": ["deu-Latn"],
"ell": ["ell-Grek"],
"eng": ["eng-Latn"],
"est": ["est-Latn"],
"eus": ["eus-Latn"],
"fin": ["fin-Latn"],
"fra": ["fra-Latn"],
"fuv": ["fuv-Latn"],
"gaz": ["gaz-Latn"],
"grn": ["grn-Latn"],
"guj": ["guj-Gujr"],
"hat": ["hat-Latn"],
"hau": ["hau-Latn"],
"heb": ["heb-Hebr"],
"hin": ["hin-Deva"],
"hrv": ["hrv-Latn"],
"hun": ["hun-Latn"],
"hye": ["hye-Armn"],
"ibo": ["ibo-Latn"],
"ilo": ["ilo-Latn"],
"ind": ["ind-Latn"],
"isl": ["isl-Latn"],
"ita": ["ita-Latn"],
"jav": ["jav-Latn"],
"jpn": ["jpn-Jpan"],
"kac": ["kac-Latn"],
"kan": ["kan-Knda"],
"kat": ["kat-Geor"],
"kaz": ["kaz-Cyrl"],
"kea": ["kea-Latn"],
"khk": ["khk-Cyrl"],
"khm": ["khm-Khmr"],
"kin": ["kin-Latn"],
"kir": ["kir-Cyrl"],
"kor": ["kor-Hang"],
"lao": ["lao-Laoo"],
"lin": ["lin-Latn"],
"lit": ["lit-Latn"],
"lug": ["lug-Latn"],
"luo": ["luo-Latn"],
"lvs": ["lvs-Latn"],
"mal": ["mal-Mlym"],
"mar": ["mar-Deva"],
"mkd": ["mkd-Cyrl"],
"mlt": ["mlt-Latn"],
"mri": ["mri-Latn"],
"mya": ["mya-Mymr"],
"nld": ["nld-Latn"],
"nob": ["nob-Latn"],
"npi": ["npi-Deva"],
"nso": ["nso-Latn"],
"nya": ["nya-Latn"],
"ory": ["ory-Orya"],
"pan": ["pan-Guru"],
"pbt": ["pbt-Arab"],
"pes": ["pes-Arab"],
"plt": ["plt-Latn"],
"pol": ["pol-Latn"],
"por": ["por-Latn"],
"ron": ["ron-Latn"],
"rus": ["rus-Cyrl"],
"shn": ["shn-Mymr"],
"sin": ["sin-Latn"],
"slk": ["slk-Latn"],
"slv": ["slv-Latn"],
"sna": ["sna-Latn"],
"snd": ["snd-Arab"],
"som": ["som-Latn"],
"sot": ["sot-Latn"],
"spa": ["spa-Latn"],
"srp": ["srp-Cyrl"],
"ssw": ["ssw-Latn"],
"sun": ["sun-Latn"],
"swe": ["swe-Latn"],
"swh": ["swh-Latn"],
"tam": ["tam-Taml"],
"tel": ["tel-Telu"],
"tgk": ["tgk-Cyrl"],
"tgl": ["tgl-Latn"],
"tha": ["tha-Thai"],
"tir": ["tir-Ethi"],
"tsn": ["tsn-Latn"],
"tso": ["tso-Latn"],
"tur": ["tur-Latn"],
"ukr": ["ukr-Cyrl"],
"urd": ["urd-Arab"],
"uzn": ["uzn-Latn"],
"vie": ["vie-Latn"],
"war": ["war-Latn"],
"wol": ["wol-Latn"],
"xho": ["xho-Latn"],
"yor": ["yor-Latn"],
"zho": ["zho-Hans"],
"zsm": ["zsm-Latn"],
"zul": ["zul-Latn"],
}
class BelebeleRetrieval(MultilingualTask, AbsTaskRetrieval):
metadata = TaskMetadata(
name="BelebeleRetrieval",
dataset={
"path": "facebook/belebele",
"revision": "75b399394a9803252cfec289d103de462763db7c",
},
description=(
"Belebele is a multiple-choice machine reading comprehension (MRC) dataset spanning 115 distinct languages."
),
type="Retrieval",
category="s2p",
eval_splits=[_EVAL_SPLIT],
eval_langs=_LANGS,
reference="https://arxiv.org/abs/2308.16884",
main_score="ndcg_at_10",
license="CC-BY-SA-4.0",
domains=["Web", "News"],
text_creation="created",
n_samples={_EVAL_SPLIT: 103500}, # number of languages * 900
date=("2023-08-31", "2023-08-31"),
form=["written"],
task_subtypes=["Question answering"],
socioeconomic_status="mixed",
annotations_creators="expert-annotated",
dialect=[],
avg_character_length={_EVAL_SPLIT: 568}, # avg length of query-passage pairs
bibtex_citation="""@article{bandarkar2023belebele,
title={The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants},
author={Lucas Bandarkar and Davis Liang and Benjamin Muller and Mikel Artetxe and Satya Narayan Shukla and Donald Husa and Naman Goyal and Abhinandan Krishnan and Luke Zettlemoyer and Madian Khabsa},
year={2023},
journal={arXiv preprint arXiv:2308.16884}
}""",
)
def load_data(self, **kwargs) -> None:
if self.data_loaded:
return
self.dataset = load_dataset(**self.metadata_dict["dataset"])
self.queries = {lang: {_EVAL_SPLIT: {}} for lang in self.langs}
self.corpus = {lang: {_EVAL_SPLIT: {}} for lang in self.langs}
self.relevant_docs = {lang: {_EVAL_SPLIT: {}} for lang in self.langs}
for lang in self.langs:
belebele_lang = _LANGS[lang][0].replace("-", "_")
ds = self.dataset[belebele_lang]
question_ids = {
question: _id for _id, question in enumerate(set(ds["question"]))
}
context_ids = {
passage: _id for _id, passage in enumerate(set(ds["flores_passage"]))
}
for row in ds:
query = row["question"]
query_id = f"Q{question_ids[query]}"
self.queries[lang][_EVAL_SPLIT][query_id] = query
context = row["flores_passage"]
context_id = f"C{context_ids[context]}"
self.corpus[lang][_EVAL_SPLIT][context_id] = {
"title": "",
"text": context,
}
if query_id not in self.relevant_docs[lang][_EVAL_SPLIT]:
self.relevant_docs[lang][_EVAL_SPLIT][query_id] = {}
self.relevant_docs[lang][_EVAL_SPLIT][query_id][context_id] = 1
self.data_loaded = True
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