from __future__ import annotations from datasets import Dataset, DatasetDict from mteb.abstasks import MultilingualTask from mteb.abstasks.AbsTaskClusteringFast import AbsTaskClusteringFast from mteb.abstasks.TaskMetadata import TaskMetadata _LANGS = { "ace_Latn": ["ace-Latn"], "acm_Arab": ["acm-Arab"], "acq_Arab": ["acq-Arab"], "aeb_Arab": ["aeb-Arab"], "afr_Latn": ["afr-Latn"], "ajp_Arab": ["ajp-Arab"], "aka_Latn": ["aka-Latn"], "als_Latn": ["als-Latn"], "amh_Ethi": ["amh-Ethi"], "apc_Arab": ["apc-Arab"], "arb_Latn": ["arb-Latn"], "ars_Arab": ["ars-Arab"], "ary_Arab": ["ary-Arab"], "arz_Arab": ["arz-Arab"], "asm_Beng": ["asm-Beng"], "ast_Latn": ["ast-Latn"], "awa_Deva": ["awa-Deva"], "ayr_Latn": ["ayr-Latn"], "azb_Arab": ["azb-Arab"], "azj_Latn": ["azj-Latn"], "bak_Cyrl": ["bak-Cyrl"], "bam_Latn": ["bam-Latn"], "ban_Latn": ["ban-Latn"], "bel_Cyrl": ["bel-Cyrl"], "bem_Latn": ["bem-Latn"], "ben_Beng": ["ben-Beng"], "bho_Deva": ["bho-Deva"], "bjn_Latn": ["bjn-Latn"], "bod_Tibt": ["bod-Tibt"], "bos_Latn": ["bos-Latn"], "bug_Latn": ["bug-Latn"], "bul_Cyrl": ["bul-Cyrl"], "cat_Latn": ["cat-Latn"], "ceb_Latn": ["ceb-Latn"], "ces_Latn": ["ces-Latn"], "cjk_Latn": ["cjk-Latn"], "ckb_Arab": ["ckb-Arab"], "crh_Latn": ["crh-Latn"], "cym_Latn": ["cym-Latn"], "dan_Latn": ["dan-Latn"], "deu_Latn": ["deu-Latn"], "dik_Latn": ["dik-Latn"], "dyu_Latn": ["dyu-Latn"], "dzo_Tibt": ["dzo-Tibt"], "ell_Grek": ["ell-Grek"], "eng_Latn": ["eng-Latn"], "epo_Latn": ["epo-Latn"], "est_Latn": ["est-Latn"], "eus_Latn": ["eus-Latn"], "ewe_Latn": ["ewe-Latn"], "fao_Latn": ["fao-Latn"], "fij_Latn": ["fij-Latn"], "fin_Latn": ["fin-Latn"], "fon_Latn": ["fon-Latn"], "fra_Latn": ["fra-Latn"], "fur_Latn": ["fur-Latn"], "fuv_Latn": ["fuv-Latn"], "gaz_Latn": ["gaz-Latn"], "gla_Latn": ["gla-Latn"], "gle_Latn": ["gle-Latn"], "glg_Latn": ["glg-Latn"], "grn_Latn": ["grn-Latn"], "guj_Gujr": ["guj-Gujr"], "hat_Latn": ["hat-Latn"], "hau_Latn": ["hau-Latn"], "heb_Hebr": ["heb-Hebr"], "hin_Deva": ["hin-Deva"], "hne_Deva": ["hne-Deva"], "hrv_Latn": ["hrv-Latn"], "hun_Latn": ["hun-Latn"], "hye_Armn": ["hye-Armn"], "ibo_Latn": ["ibo-Latn"], "ilo_Latn": ["ilo-Latn"], "ind_Latn": ["ind-Latn"], "isl_Latn": ["isl-Latn"], "ita_Latn": ["ita-Latn"], "jav_Latn": ["jav-Latn"], "jpn_Jpan": ["jpn-Jpan"], "kab_Latn": ["kab-Latn"], "kac_Latn": ["kac-Latn"], "kam_Latn": ["kam-Latn"], "kan_Knda": ["kan-Knda"], "kas_Deva": ["kas-Deva"], "kat_Geor": ["kat-Geor"], "kaz_Cyrl": ["kaz-Cyrl"], "kbp_Latn": ["kbp-Latn"], "kea_Latn": ["kea-Latn"], "khk_Cyrl": ["khk-Cyrl"], "khm_Khmr": ["khm-Khmr"], "kik_Latn": ["kik-Latn"], "kin_Latn": ["kin-Latn"], "kir_Cyrl": ["kir-Cyrl"], "kmb_Latn": ["kmb-Latn"], "kmr_Latn": ["kmr-Latn"], "knc_Latn": ["knc-Latn"], "kon_Latn": ["kon-Latn"], "kor_Hang": ["kor-Hang"], "lao_Laoo": ["lao-Laoo"], "lij_Latn": ["lij-Latn"], "lim_Latn": ["lim-Latn"], "lin_Latn": ["lin-Latn"], "lit_Latn": ["lit-Latn"], "lmo_Latn": ["lmo-Latn"], "ltg_Latn": ["ltg-Latn"], "ltz_Latn": ["ltz-Latn"], "lua_Latn": ["lua-Latn"], "lug_Latn": ["lug-Latn"], "luo_Latn": ["luo-Latn"], "lus_Latn": ["lus-Latn"], "lvs_Latn": ["lvs-Latn"], "mag_Deva": ["mag-Deva"], "mai_Deva": ["mai-Deva"], "mal_Mlym": ["mal-Mlym"], "mar_Deva": ["mar-Deva"], "min_Latn": ["min-Latn"], "mkd_Cyrl": ["mkd-Cyrl"], "mlt_Latn": ["mlt-Latn"], "mni_Beng": ["mni-Beng"], "mos_Latn": ["mos-Latn"], "mri_Latn": ["mri-Latn"], "mya_Mymr": ["mya-Mymr"], "nld_Latn": ["nld-Latn"], "nno_Latn": ["nno-Latn"], "nob_Latn": ["nob-Latn"], "npi_Deva": ["npi-Deva"], "nqo_Nkoo": ["nqo-Nkoo"], "nso_Latn": ["nso-Latn"], "nus_Latn": ["nus-Latn"], "nya_Latn": ["nya-Latn"], "oci_Latn": ["oci-Latn"], "ory_Orya": ["ory-Orya"], "pag_Latn": ["pag-Latn"], "pan_Guru": ["pan-Guru"], "pap_Latn": ["pap-Latn"], "pbt_Arab": ["pbt-Arab"], "pes_Arab": ["pes-Arab"], "plt_Latn": ["plt-Latn"], "pol_Latn": ["pol-Latn"], "por_Latn": ["por-Latn"], "prs_Arab": ["prs-Arab"], "quy_Latn": ["quy-Latn"], "ron_Latn": ["ron-Latn"], "run_Latn": ["run-Latn"], "rus_Cyrl": ["rus-Cyrl"], "sag_Latn": ["sag-Latn"], "san_Deva": ["san-Deva"], "sat_Olck": ["sat-Olck"], "scn_Latn": ["scn-Latn"], "shn_Mymr": ["shn-Mymr"], "sin_Sinh": ["sin-Sinh"], "slk_Latn": ["slk-Latn"], "slv_Latn": ["slv-Latn"], "smo_Latn": ["smo-Latn"], "sna_Latn": ["sna-Latn"], "snd_Arab": ["snd-Arab"], "som_Latn": ["som-Latn"], "sot_Latn": ["sot-Latn"], "spa_Latn": ["spa-Latn"], "srd_Latn": ["srd-Latn"], "srp_Cyrl": ["srp-Cyrl"], "ssw_Latn": ["ssw-Latn"], "sun_Latn": ["sun-Latn"], "swe_Latn": ["swe-Latn"], "swh_Latn": ["swh-Latn"], "szl_Latn": ["szl-Latn"], "tam_Taml": ["tam-Taml"], "taq_Tfng": ["taq-Tfng"], "tat_Cyrl": ["tat-Cyrl"], "tel_Telu": ["tel-Telu"], "tgk_Cyrl": ["tgk-Cyrl"], "tgl_Latn": ["tgl-Latn"], "tha_Thai": ["tha-Thai"], "tir_Ethi": ["tir-Ethi"], "tpi_Latn": ["tpi-Latn"], "tsn_Latn": ["tsn-Latn"], "tso_Latn": ["tso-Latn"], "tuk_Latn": ["tuk-Latn"], "tum_Latn": ["tum-Latn"], "tur_Latn": ["tur-Latn"], "twi_Latn": ["twi-Latn"], "tzm_Tfng": ["tzm-Tfng"], "uig_Arab": ["uig-Arab"], "ukr_Cyrl": ["ukr-Cyrl"], "umb_Latn": ["umb-Latn"], "urd_Arab": ["urd-Arab"], "uzn_Latn": ["uzn-Latn"], "vec_Latn": ["vec-Latn"], "vie_Latn": ["vie-Latn"], "war_Latn": ["war-Latn"], "wol_Latn": ["wol-Latn"], "xho_Latn": ["xho-Latn"], "ydd_Hebr": ["ydd-Hebr"], "yor_Latn": ["yor-Latn"], "yue_Hant": ["yue-Hant"], "zho_Hant": ["zho-Hant"], "zsm_Latn": ["zsm-Latn"], "zul_Latn": ["zul-Latn"], } class SIB200ClusteringFast(MultilingualTask, AbsTaskClusteringFast): metadata = TaskMetadata( name="SIB200ClusteringFastS2S", description="""SIB-200 is the largest publicly available topic classification dataset based on Flores-200 covering 205 languages and dialects annotated. The dataset is annotated in English for the topics, science/technology, travel, politics, sports, health, entertainment, and geography. The labels are then transferred to the other languages in Flores-200 which are machine-translated. """, reference="https://arxiv.org/abs/2309.07445", dataset={ "path": "mteb/sib200", "revision": "a74d7350ea12af010cfb1c21e34f1f81fd2e615b", }, type="Classification", category="s2s", eval_splits=["test"], eval_langs=_LANGS, main_score="v_measure", date=("2023-09-14", "2024-01-27"), form=["written"], domains=["News"], task_subtypes=["Thematic clustering"], license="cc-by-sa-4.0", socioeconomic_status="high", annotations_creators="expert-annotated", # expert annotated for English --> human translations dialect=[], text_creation="human-translated and localized", bibtex_citation="""@article{adelani2023sib, title={SIB-200: A simple, inclusive, and big evaluation dataset for topic classification in 200+ languages and dialects}, author={Adelani, David Ifeoluwa and Liu, Hannah and Shen, Xiaoyu and Vassilyev, Nikita and Alabi, Jesujoba O and Mao, Yanke and Gao, Haonan and Lee, Annie En-Shiun}, journal={arXiv preprint arXiv:2309.07445}, year={2023} }""", n_samples={"test": 1004}, # combined train, validation, and test into test. avg_character_length={"test": 114.78}, ) def dataset_transform(self): ds = dict() for lang in self.hf_subsets: labels = [] sentences = [] ds[lang] = dict() for split in ["train", "validation", "test"]: labels.extend(self.dataset[lang][split]["category"]) sentences.extend(self.dataset[lang][split]["text"]) split_ds = Dataset.from_dict({"labels": labels, "sentences": sentences}) lang_dict = {"test": split_ds} ds[lang] = DatasetDict(lang_dict) self.dataset = DatasetDict(ds) for lang in self.hf_subsets: self.dataset[lang] = self.dataset[lang].class_encode_column("labels")