Datasets:

anyantudre
/

MooreEnglishParallel

pretty_name: MooreEnglishParallel
language:
  - mos
  - en
license: other
license_name: third-party-texts-cc-by-nc-annotations
license_link: https://huggingface.co/datasets/anyantudre/MooreEnglishParallel#license
task_categories:
  - translation
size_categories:
  - 10K<n<100K
tags:
  - mooré
  - burkina-faso
  - low-resource
  - parallel-corpus
  - dictionary
configs:
  - config_name: default
    data_files:
      - split: train
        path:
          - webonary/train-*
          - smol/train-*
          - quran-quranenc/train-*
  - config_name: webonary
    data_files:
      - split: train
        path: webonary/train-*
  - config_name: smol
    data_files:
      - split: train
        path: smol/train-*
  - config_name: quran-quranenc
    data_files:
      - split: train
        path: quran-quranenc/train-*
  - config_name: nllb
    data_files:
      - split: train
        path: nllb/train-*
extra_gated_heading: Request access to MooreEnglishParallel
extra_gated_prompt: >-
  MooreEnglishParallel collects publicly available English-Mooré parallel text
  for machine translation research. The texts belong to their owners (listed on
  the card) and are shared for non-commercial research only; our work is CC
  BY-NC 4.0. Please read the card, its terms and licenses before requesting
  access, and make sure you understand them.
extra_gated_fields:
  Full name: text
  Email address (work or academic if possible): text
  Affiliation and country: text
  Intended use:
    type: select
    options:
      - Academic research
      - Teaching
      - Non-profit or community project
      - Commercial product or service
      - Industrial R&D
      - Personal project
      - Other
  Your project and how you will use the dataset (1-2 sentences): text
  'I agree to comply with the license stated above: non-commercial research only, no redistribution of the data': checkbox
  I will cite this work if I use it in a publication: checkbox
extra_gated_button_content: Submit request

MooreEnglishParallel

Publicly available English-Mooré parallel text: dictionary glosses and examples, Google SMOL, the Quran and web-mined sentences.

MooreEnglishParallel holds the English-Mooré pairs we know of: words with their English gloss, about 51,000 sentences (SMOL, dictionary examples, web-mined text) and the Quran. For French-Mooré, see MooreFrenchParallel.

Access is gated and requests are reviewed by hand. Collecting and cleaning Mooré parallel text takes a lot of time and resources, and we do it mostly out of passion. Please read this card, its terms and licenses before requesting access, and make sure you understand them. Respecting them keeps this work useful to the community and helps move our local languages forward.

Résumé en français. Paires anglais-mooré disponibles publiquement : des mots avec leur glose anglaise, tirés du dictionnaire d'Urs Niggli, environ 51 000 phrases (exemples du dictionnaire, jeu SMOL de Google, textes collectés sur le web) et le Coran. Pour le français-mooré, voir MooreFrenchParallel. Accès sur demande, examinée à la main, réservé à la recherche non commerciale. Collecter et nettoyer ces textes demande beaucoup de temps et de moyens, et nous le faisons surtout par passion : lisez cette carte, ses conditions et ses licences avant de demander l'accès.

Overview

Subset	Content	Source	Terms	Pairs
`webonary`	Dictionary glosses and example sentences	Dictionnaire Mooré - français - English avec images, compiled by Urs Niggli, © 2016 SIL International	No license stated	33,001
`smol`	GATITOS words, SmolSent and SmolDoc sentences	Google SMOL	CC BY 4.0	7,843
`quran-quranenc`	Quran, verse-aligned	Mooré and English: Rowwad Translation Center, both translated from the Arabic, via QuranEnc	No license stated	6,144
`nllb`	Web-mined sentences	NLLB mined English-Mooré bitext (Meta, 2022, via allenai/nllb). Probably includes text from jw.org, as in the original NLLB release.	NLLB: ODC-By 1.0; texts belong to their websites	45,351

default loads webonary, smol and quran-quranenc; the web-mined nllb loads on its own. Every pair appears once. Evaluate English-Mooré with the flores and bouquet configs of MooreMTBench; none of their sentences is here.

Quick start

from datasets import load_dataset

ds = load_dataset("anyantudre/MooreEnglishParallel", split="train")

Columns

Column	Description
`id`	Stable id (hash of the normalized pair)
`en`, `mos`	English and Mooré text
`source`	Original part: `webonary-dictionary`, `webonary-glosses`, `webonary-examples`, `smol-gatitos`, `smol-sent`, `smol-doc`, `smol`, `quran-quranenc`, `nllb`
`unit`	`word`, `phrase`, `sentence` or `verse`
`ref`	Entry or document id, when known
`flags`	Quality notes, e.g. `glued_gloss` (two glosses written as one word in the old scrape), `pdf_ligature_fixed`, `mined_bitext`

Limits

Many single words: about 38% of the pairs.
nllb was mined automatically from the web; no person checked these pairs, and some are loose matches.
nllb probably includes jw.org Bible text, possibly from the chapters held out by MooreSpeechBench v1.0 (list in anyantudre/MooreSpeechBench, sets/heldout_chapters.csv). These rows have no verse references, so they cannot be flagged against that list. Exclude them before training any speech system's text components (ASR language models, TTS text front ends).
Some old glosses are glued together ("shehis" for "she, his"), flagged glued_gloss.

Access

Fill in the form on this page. We approve people and institutions that say who they are, describe a research use and accept the terms. Anonymous or vague requests will not be approved.

License

Texts: property of their owners (see Overview). No license is granted on the dictionary and Quran texts; SMOL is CC BY 4.0; the NLLB bitext is ODC-By 1.0 (the texts stay with their websites).
Our work (cleaning, labels, metadata): CC BY-NC 4.0.

For other uses or questions, contact us: Wendyellé A. Alban NYANTUDRE (nyantudrealban@gmail.com).

Citation

@misc{nyantudre2026mooreenglishparallel,
  title        = {MooreEnglishParallel: Publicly available English-Mooré parallel text},
  author       = {Nyantudre, Wendyellé Abubakrh Alban and Bandaogo, Aristide},
  year         = {2026},
  howpublished = {Hugging Face Datasets (gated access)},
  url          = {https://huggingface.co/datasets/anyantudre/MooreEnglishParallel}
}

If you use a subset, please also cite its source (see Overview).