CoolFace
Datasetpublic

everflip-app/flashcards

EverFlip Multilingual Flashcard Corpus 24,164 flashcards across 81 languages, organised into 1,573 themed decks and exam ladders (JLPT, HSK, TOPIK, DELE / DELF / Goethe / CILS / CAPLE). Each card is a factual lexical correspondence — a word or phrase in the target language, its reading (for non-Latin scripts), and its English meaning. Files cards.csv — every card (24,164 rows): language_code, language, deck_slug, deck_name, front, meaning_en, back_raw… See the full description on the dataset page: https://huggingface.co/datasets/everflip-app/flashcards.

sourceHugging Facecc-by-4.0updated 3mo agoView on Hugging Face
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Dataset Card

EverFlip Multilingual Flashcard Corpus

24,164 flashcards across 81 languages, organised into 1,573 themed decks and exam ladders (JLPT, HSK, TOPIK, DELE / DELF / Goethe / CILS / CAPLE).

Each card is a factual lexical correspondence — a word or phrase in the target language, its reading (for non-Latin scripts), and its English meaning.

Files

  • cards.csv — every card (24,164 rows): language_code, language, deck_slug, deck_name, front, meaning_en, back_raw, translation_raw. Use `meaning_en` for the normalized English meaning (it resolves the field across Latin and non-Latin scripts).
  • decks.csv — deck catalogue (1,573 rows).
  • languages.csv — language catalogue (81 rows).
  • datapackage.jsonfrictionlessdata.io Tabular Data Package descriptor.

License

CC-BY-4.0 — free to share, adapt, and train on, with attribution to EverFlip (https://everflip.app). Only the factual card data is released; the app, its FSRS scheduling, and any editorial prose are not included.

Source & citation

  • Source: https://everflip.app
  • How to cite (APA + BibTeX): https://everflip.app/dataset
  • Also available as a crawlable JSON API: https://everflip.app/v1