Datasets:
Tasks:
Image-Text-to-Text
Formats:
csv
Sub-tasks:
topic-classification
Size:
100K - 1M
ArXiv:
License:
Update task categories, add link to paper (#2)
Browse files- Update task categories, add link to paper (f062c7cd6cc5820845f0f9c0191af43bde74bbca)
Co-authored-by: Niels Rogge <[email protected]>
README.md
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language_creators:
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license:
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multilinguality:
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pretty_name: MVL-SIB
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language_details: >-
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ace_Arab, ace_Latn, acm_Arab, acq_Arab, aeb_Arab, afr_Latn, ajp_Arab,
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aka_Latn, amh_Ethi, apc_Arab, arb_Arab, ars_Arab, ary_Arab, arz_Arab,
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asm_Beng, ast_Latn, awa_Deva, ayr_Latn, azb_Arab, azj_Latn, bak_Cyrl,
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bam_Latn, ban_Latn,bel_Cyrl, bem_Latn, ben_Beng, bho_Deva, bjn_Arab, bjn_Latn,
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bod_Tibt, bos_Latn, bug_Latn, bul_Cyrl, cat_Latn, ceb_Latn, ces_Latn,
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cjk_Latn, ckb_Arab, crh_Latn, cym_Latn, dan_Latn, deu_Latn, dik_Latn,
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dyu_Latn, dzo_Tibt, ell_Grek, eng_Latn, epo_Latn, est_Latn, eus_Latn,
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ewe_Latn, fao_Latn, pes_Arab, fij_Latn, fin_Latn, fon_Latn, fra_Latn,
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fur_Latn, fuv_Latn, gla_Latn, gle_Latn, glg_Latn, grn_Latn, guj_Gujr,
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hat_Latn, hau_Latn, heb_Hebr, hin_Deva, hne_Deva, hrv_Latn, hun_Latn,
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hye_Armn, ibo_Latn, ilo_Latn, ind_Latn, isl_Latn, ita_Latn, jav_Latn,
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jpn_Jpan, kab_Latn, kac_Latn, kam_Latn, kan_Knda, kas_Arab, kas_Deva,
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kat_Geor, knc_Arab, knc_Latn, kaz_Cyrl, kbp_Latn, kea_Latn, khm_Khmr,
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kik_Latn, kin_Latn, kir_Cyrl, kmb_Latn, kon_Latn, kor_Hang, kmr_Latn,
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lao_Laoo, lvs_Latn, lij_Latn, lim_Latn, lin_Latn, lit_Latn, lmo_Latn,
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ltg_Latn, ltz_Latn, lua_Latn, lug_Latn, luo_Latn, lus_Latn, mag_Deva,
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mai_Deva, mal_Mlym, mar_Deva, min_Latn, mkd_Cyrl, plt_Latn, mlt_Latn,
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mni_Beng, khk_Cyrl, mos_Latn, mri_Latn, zsm_Latn, mya_Mymr, nld_Latn,
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nno_Latn, nob_Latn, npi_Deva, nqo_Nkoo, nso_Latn, nus_Latn, nya_Latn, oci_Latn,
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gaz_Latn, ory_Orya, pag_Latn, pan_Guru, pap_Latn, pol_Latn, por_Latn,
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prs_Arab, pbt_Arab, quy_Latn, ron_Latn, run_Latn, rus_Cyrl, sag_Latn,
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san_Deva, sat_Beng, scn_Latn, shn_Mymr, sin_Sinh, slk_Latn, slv_Latn,
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smo_Latn, sna_Latn, snd_Arab, som_Latn, sot_Latn, spa_Latn, als_Latn,
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srd_Latn, srp_Cyrl, ssw_Latn, sun_Latn, swe_Latn, swh_Latn, szl_Latn,
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tam_Taml, tat_Cyrl, tel_Telu, tgk_Cyrl, tgl_Latn, tha_Thai, tir_Ethi,
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taq_Latn, taq_Tfng, tpi_Latn, tsn_Latn, tso_Latn, tuk_Latn, tum_Latn,
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tur_Latn, twi_Latn, tzm_Tfng, uig_Arab, ukr_Cyrl, umb_Latn, urd_Arab,
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uzn_Latn, vec_Latn, vie_Latn, war_Latn, wol_Latn, xho_Latn, ydd_Hebr,
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yor_Latn, yue_Hant, zho_Hans, zho_Hant, zul_Latn
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size_categories:
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source_datasets:
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tags:
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- sib-200
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- sib200
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task_categories:
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task_ids:
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---
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# MVL-SIB: Massively Multilingual Visual-Language SIB
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MVL-SIB is a multilingual dataset that provides image-sentence pairs spanning 205 languages and 7 topical categories (`entertainment`, `geography`, `health`, `politics`, `science`, `sports`, `travel`). It was constructed by extending the [SIB-200](https://huggingface.co/datasets/Davlan/sib200) benchmark. For each topic, a set of [10 permissively licensed images](https://huggingface.co/datasets/WueNLP/mvl-sib200/tree/main/data/images/sib200) was manually collected to distinctly represent each category. The dataset creates three instances per original sentence, pairing it with multiple positive and negative image-sentence combinations to challenge both multimodal reasoning and language understanding. MVL-SIB supports detailed evaluations across text-only and cross-modal tasks.
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## Usage Example
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Below is an example of how to load and use the MVL-SIB dataset with the Hugging Face `datasets` library in Python:
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primaryClass={cs.CL},
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url={https://arxiv.org/abs/2502.12852},
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}
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-
```
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---
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annotations_creators:
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- found
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language_creators:
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- expert-generated
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language:
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- ace
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- acm
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- acq
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- aeb
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- af
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- ajp
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- ak
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- als
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- am
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- apc
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- ar
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- ars
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- ary
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- arz
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- as
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- ast
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- awa
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- ayr
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- azb
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- azj
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- ba
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- bm
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- ban
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- be
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- bem
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- bn
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- bho
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- bjn
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- bo
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- bs
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- bug
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- bg
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- ca
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- ceb
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- cs
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- cjk
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- ckb
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- crh
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- cy
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- da
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- de
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- dik
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- dyu
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- dz
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- el
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- en
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- eo
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- et
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- eu
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- ee
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- fo
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- fj
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- fi
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- fon
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- fr
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- fur
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- fuv
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- gaz
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- gd
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- ga
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- gl
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- gn
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- gu
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- ht
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- ha
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- he
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- hi
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- hne
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- hr
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- hu
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- hy
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- ig
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- ilo
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- id
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- is
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- it
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- jv
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- ja
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- kab
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- kac
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- kam
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- kn
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- ks
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- ka
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- kk
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- kbp
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- kea
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- khk
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- km
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- ki
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- rw
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- ky
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- kmb
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- kmr
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- knc
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- kg
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- ko
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- lo
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- lij
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- li
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- ln
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- lt
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- lmo
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- ltg
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- lb
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- lua
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- lg
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- luo
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- lus
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- lvs
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- mag
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- mai
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- ml
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- mar
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- min
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- mk
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- mt
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- mni
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- mos
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- mi
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- my
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- nl
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- nn
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- nb
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- npi
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- nqo
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- nso
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- nus
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- ny
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- oc
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- ory
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- pag
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- pa
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- pap
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- pbt
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- pes
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- plt
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- pl
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- pt
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- prs
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- quy
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- ro
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- rn
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- ru
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- sg
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- sa
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- sat
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- scn
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- shn
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- si
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- sk
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- sl
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- sm
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- sn
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- sd
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- so
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- st
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- es
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+
- sc
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- sr
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- ss
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+
- su
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- sv
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- swh
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+
- szl
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- ta
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- taq
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- tt
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- te
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+
- tg
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+
- tl
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+
- th
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+
- ti
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+
- tpi
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+
- tn
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- ts
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+
- tk
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- tum
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- tr
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- tw
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- tzm
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+
- ug
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+
- uk
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+
- umb
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+
- ur
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- uzn
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+
- vec
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+
- vi
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+
- war
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+
- wo
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- xh
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- ydd
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- yo
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- yue
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- zh
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- zsm
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- zu
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license:
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- cc-by-sa-4.0
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multilinguality:
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- multilingual
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size_categories:
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- 1K<n<10K
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source_datasets:
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- original
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task_categories:
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- image-text-to-text
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- cross-modal-retrieval
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task_ids:
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- topic-classification
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pretty_name: MVL-SIB
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language_details: ace_Arab, ace_Latn, acm_Arab, acq_Arab, aeb_Arab, afr_Latn, ajp_Arab,
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aka_Latn, amh_Ethi, apc_Arab, arb_Arab, ars_Arab, ary_Arab, arz_Arab, asm_Beng,
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ast_Latn, awa_Deva, ayr_Latn, azb_Arab, azj_Latn, bak_Cyrl, bam_Latn, ban_Latn,bel_Cyrl,
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221 |
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bem_Latn, ben_Beng, bho_Deva, bjn_Arab, bjn_Latn, bod_Tibt, bos_Latn, bug_Latn,
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222 |
+
bul_Cyrl, cat_Latn, ceb_Latn, ces_Latn, cjk_Latn, ckb_Arab, crh_Latn, cym_Latn,
|
223 |
+
dan_Latn, deu_Latn, dik_Latn, dyu_Latn, dzo_Tibt, ell_Grek, eng_Latn, epo_Latn,
|
224 |
+
est_Latn, eus_Latn, ewe_Latn, fao_Latn, pes_Arab, fij_Latn, fin_Latn, fon_Latn,
|
225 |
+
fra_Latn, fur_Latn, fuv_Latn, gla_Latn, gle_Latn, glg_Latn, grn_Latn, guj_Gujr,
|
226 |
+
hat_Latn, hau_Latn, heb_Hebr, hin_Deva, hne_Deva, hrv_Latn, hun_Latn, hye_Armn,
|
227 |
+
ibo_Latn, ilo_Latn, ind_Latn, isl_Latn, ita_Latn, jav_Latn, jpn_Jpan, kab_Latn,
|
228 |
+
kac_Latn, kam_Latn, kan_Knda, kas_Arab, kas_Deva, kat_Geor, knc_Arab, knc_Latn,
|
229 |
+
kaz_Cyrl, kbp_Latn, kea_Latn, khm_Khmr, kik_Latn, kin_Latn, kir_Cyrl, kmb_Latn,
|
230 |
+
kon_Latn, kor_Hang, kmr_Latn, lao_Laoo, lvs_Latn, lij_Latn, lim_Latn, lin_Latn,
|
231 |
+
lit_Latn, lmo_Latn, ltg_Latn, ltz_Latn, lua_Latn, lug_Latn, luo_Latn, lus_Latn,
|
232 |
+
mag_Deva, mai_Deva, mal_Mlym, mar_Deva, min_Latn, mkd_Cyrl, plt_Latn, mlt_Latn,
|
233 |
+
mni_Beng, khk_Cyrl, mos_Latn, mri_Latn, zsm_Latn, mya_Mymr, nld_Latn, nno_Latn,
|
234 |
+
nob_Latn, npi_Deva, nqo_Nkoo, nso_Latn, nus_Latn, nya_Latn, oci_Latn, gaz_Latn,
|
235 |
+
ory_Orya, pag_Latn, pan_Guru, pap_Latn, pol_Latn, por_Latn, prs_Arab, pbt_Arab,
|
236 |
+
quy_Latn, ron_Latn, run_Latn, rus_Cyrl, sag_Latn, san_Deva, sat_Beng, scn_Latn,
|
237 |
+
shn_Mymr, sin_Sinh, slk_Latn, slv_Latn, smo_Latn, sna_Latn, snd_Arab, som_Latn,
|
238 |
+
sot_Latn, spa_Latn, als_Latn, srd_Latn, srp_Cyrl, ssw_Latn, sun_Latn, swe_Latn,
|
239 |
+
swh_Latn, szl_Latn, tam_Taml, tat_Cyrl, tel_Telu, tgk_Cyrl, tgl_Latn, tha_Thai,
|
240 |
+
tir_Ethi, taq_Latn, taq_Tfng, tpi_Latn, tsn_Latn, tso_Latn, tuk_Latn, tum_Latn,
|
241 |
+
tur_Latn, twi_Latn, tzm_Tfng, uig_Arab, ukr_Cyrl, umb_Latn, urd_Arab, uzn_Latn,
|
242 |
+
vec_Latn, vie_Latn, war_Latn, wol_Latn, xho_Latn, ydd_Hebr, yor_Latn, yue_Hant,
|
243 |
+
zho_Hans, zho_Hant, zul_Latn
|
244 |
+
tags:
|
245 |
+
- sib-200
|
246 |
+
- sib200
|
247 |
---
|
248 |
|
249 |
# MVL-SIB: Massively Multilingual Visual-Language SIB
|
|
|
252 |
|
253 |
MVL-SIB is a multilingual dataset that provides image-sentence pairs spanning 205 languages and 7 topical categories (`entertainment`, `geography`, `health`, `politics`, `science`, `sports`, `travel`). It was constructed by extending the [SIB-200](https://huggingface.co/datasets/Davlan/sib200) benchmark. For each topic, a set of [10 permissively licensed images](https://huggingface.co/datasets/WueNLP/mvl-sib200/tree/main/data/images/sib200) was manually collected to distinctly represent each category. The dataset creates three instances per original sentence, pairing it with multiple positive and negative image-sentence combinations to challenge both multimodal reasoning and language understanding. MVL-SIB supports detailed evaluations across text-only and cross-modal tasks.
|
254 |
|
255 |
+
Paper: [MVL-SIB: A Massively Multilingual Vision-Language Benchmark for Cross-Modal Topical Matching](https://huggingface.co/papers/2502.12852)
|
256 |
+
|
257 |
## Usage Example
|
258 |
|
259 |
Below is an example of how to load and use the MVL-SIB dataset with the Hugging Face `datasets` library in Python:
|
|
|
356 |
primaryClass={cs.CL},
|
357 |
url={https://arxiv.org/abs/2502.12852},
|
358 |
}
|
359 |
+
```
|