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Datasets:
visheratin
/
laion-coco-nllb

Tasks:
Image-to-Text
Translation
Modalities:
Image
Text
Formats:
parquet
Languages:
Achinese
Mesopotamian Arabic
Ta'izzi-Adeni Arabic
Size:
100K - 1M
ArXiv:
DOI:
Libraries:
Datasets
Dask
License:
Dataset card Viewer Files Community
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metadata
language:
  - ace
  - acm
  - acq
  - aeb
  - af
  - ajp
  - ak
  - als
  - am
  - apc
  - ar
  - ars
  - ary
  - arz
  - as
  - ast
  - awa
  - ayr
  - azb
  - azj
  - ba
  - bm
  - ban
  - be
  - bem
  - bn
  - bho
  - bjn
  - bo
  - bs
  - bug
  - bg
  - ca
  - ceb
  - cs
  - cjk
  - ckb
  - crh
  - cy
  - da
  - de
  - dik
  - dyu
  - dz
  - el
  - en
  - eo
  - et
  - eu
  - ee
  - fo
  - fj
  - fi
  - fon
  - fr
  - fur
  - fuv
  - gaz
  - gd
  - ga
  - gl
  - gn
  - gu
  - ht
  - ha
  - he
  - hi
  - hne
  - hr
  - hu
  - hy
  - ig
  - ilo
  - id
  - is
  - it
  - jv
  - ja
  - kab
  - kac
  - kam
  - kn
  - ks
  - ka
  - kk
  - kbp
  - kea
  - khk
  - km
  - ki
  - rw
  - ky
  - kmb
  - kmr
  - knc
  - kg
  - ko
  - lo
  - lij
  - li
  - ln
  - lt
  - lmo
  - ltg
  - lb
  - lua
  - lg
  - luo
  - lus
  - lvs
  - mag
  - mai
  - ml
  - mar
  - min
  - mk
  - mt
  - mni
  - mos
  - mi
  - my
  - nl
  - nn
  - nb
  - npi
  - nso
  - nus
  - ny
  - oc
  - ory
  - pag
  - pa
  - pap
  - pbt
  - pes
  - plt
  - pl
  - pt
  - prs
  - quy
  - ro
  - rn
  - ru
  - sg
  - sa
  - sat
  - scn
  - shn
  - si
  - sk
  - sl
  - sm
  - sn
  - sd
  - so
  - st
  - es
  - sc
  - sr
  - ss
  - su
  - sv
  - swh
  - szl
  - ta
  - taq
  - tt
  - te
  - tg
  - tl
  - th
  - ti
  - tpi
  - tn
  - ts
  - tk
  - tum
  - tr
  - tw
  - tzm
  - ug
  - uk
  - umb
  - ur
  - uzn
  - vec
  - vi
  - war
  - wo
  - xh
  - ydd
  - yo
  - yue
  - zh
  - zsm
  - zu
license: cc-by-nc-4.0
size_categories:
  - 100K<n<1M
task_categories:
  - image-to-text
  - translation
pretty_name: LAION-COCO translated to 200 languages
dataset_info:
  features:
    - name: id
      dtype: string
    - name: url
      dtype: string
    - name: eng_caption
      dtype: string
    - name: captions
      sequence:
        sequence: string
    - name: score
      dtype: float64
  splits:
    - name: test
      num_bytes: 289987047
      num_examples: 15937
    - name: train
      num_bytes: 6234068695
      num_examples: 342737
  download_size: 4148868228
  dataset_size: 6524055742
language_details: >-
  ace_Arab, ace_Latn, acm_Arab, acq_Arab, aeb_Arab, afr_Latn, ajp_Arab,
  aka_Latn, amh_Ethi, apc_Arab, arb_Arab, ars_Arab, ary_Arab, arz_Arab,
  asm_Beng, ast_Latn, awa_Deva, ayr_Latn, azb_Arab, azj_Latn, bak_Cyrl,
  bam_Latn, ban_Latn,bel_Cyrl, bem_Latn, ben_Beng, bho_Deva, bjn_Arab, bjn_Latn,
  bod_Tibt, bos_Latn, bug_Latn, bul_Cyrl, cat_Latn, ceb_Latn, ces_Latn,
  cjk_Latn, ckb_Arab, crh_Latn, cym_Latn, dan_Latn, deu_Latn, dik_Latn,
  dyu_Latn, dzo_Tibt, ell_Grek, eng_Latn, epo_Latn, est_Latn, eus_Latn,
  ewe_Latn, fao_Latn, pes_Arab, fij_Latn, fin_Latn, fon_Latn, fra_Latn,
  fur_Latn, fuv_Latn, gla_Latn, gle_Latn, glg_Latn, grn_Latn, guj_Gujr,
  hat_Latn, hau_Latn, heb_Hebr, hin_Deva, hne_Deva, hrv_Latn, hun_Latn,
  hye_Armn, ibo_Latn, ilo_Latn, ind_Latn, isl_Latn, ita_Latn, jav_Latn,
  jpn_Jpan, kab_Latn, kac_Latn, kam_Latn, kan_Knda, kas_Arab, kas_Deva,
  kat_Geor, knc_Arab, knc_Latn, kaz_Cyrl, kbp_Latn, kea_Latn, khm_Khmr,
  kik_Latn, kin_Latn, kir_Cyrl, kmb_Latn, kon_Latn, kor_Hang, kmr_Latn,
  lao_Laoo, lvs_Latn, lij_Latn, lim_Latn, lin_Latn, lit_Latn, lmo_Latn,
  ltg_Latn, ltz_Latn, lua_Latn, lug_Latn, luo_Latn, lus_Latn, mag_Deva,
  mai_Deva, mal_Mlym, mar_Deva, min_Latn, mkd_Cyrl, plt_Latn, mlt_Latn,
  mni_Beng, khk_Cyrl, mos_Latn, mri_Latn, zsm_Latn, mya_Mymr, nld_Latn,
  nno_Latn, nob_Latn, npi_Deva, nso_Latn, nus_Latn, nya_Latn, oci_Latn,
  gaz_Latn, ory_Orya, pag_Latn, pan_Guru, pap_Latn, pol_Latn, por_Latn,
  prs_Arab, pbt_Arab, quy_Latn, ron_Latn, run_Latn, rus_Cyrl, sag_Latn,
  san_Deva, sat_Beng, scn_Latn, shn_Mymr, sin_Sinh, slk_Latn, slv_Latn,
  smo_Latn, sna_Latn, snd_Arab, som_Latn, sot_Latn, spa_Latn, als_Latn,
  srd_Latn, srp_Cyrl, ssw_Latn, sun_Latn, swe_Latn, swh_Latn, szl_Latn,
  tam_Taml, tat_Cyrl, tel_Telu, tgk_Cyrl, tgl_Latn, tha_Thai, tir_Ethi,
  taq_Latn, taq_Tfng, tpi_Latn, tsn_Latn, tso_Latn, tuk_Latn, tum_Latn,
  tur_Latn, twi_Latn, tzm_Tfng, uig_Arab, ukr_Cyrl, umb_Latn, urd_Arab,
  uzn_Latn, vec_Latn, vie_Latn, war_Latn, wol_Latn, xho_Latn, ydd_Hebr,
  yor_Latn, yue_Hant, zho_Hans, zho_Hant, zul_Latn
configs:
  - config_name: default
    data_files:
      - split: test
        path: data/test-*
      - split: train
        path: data/train-*

LAION COCO translated into 200 languages

This dataset contains the samples of the LAION-COCO dataset translated to 200 languages using the largest NLLB-200 model (3.3B parameters).

Fields description

  1. id - unique ID of the image.
  2. url - original URL of the image from the LAION-COCO dataset.
  3. eng_caption - original English caption from the LAION-COCO dataset.
  4. captions - a list of captions translated to the languages from the Flores 200 dataset. Every item in the list is a list where the first element is a BCP-47 language code, and the second one is a caption in this language. The list of all language codes for the Flores 200 dataset can be found here.
  5. score - aesthetic score generated using LAION aesthetic predictor. The images in the dataset have the score of 4.5+.

Images

The dataset was filtered to contain only working image URLs. However, the availability may change in the future. Because of that, all images from this dataset are available at https://nllb-data.com/. To get the image, use the following format:

https://nllb-data.com/{id}.jpg

Paper

The dataset was used to train the models in the paper: "NLLB-CLIP - train performant multilingual image retrieval model on a budget".