SPANISH FLASHCARD VOCABULARY DATA ATTRIBUTION The library contains exactly 5,000 cards: 42 pre-existing original teaching cards and 4,958 dictionary-derived cards. Only records with source: wiktionary are covered by the adapted-data license below. This notice does not relicense the 42 original cards or their examples, unrelated site code, branding, or articles. Meanings adapted from English Wiktionary contributors, via the Kaikki.org Spanish dictionary and Wiktextract by Tatu Ylonen and contributors. English Wiktionary: https://en.wiktionary.org/ Each dictionary-derived card links to its source entry, including access to contributor history. Kaikki Spanish data: https://kaikki.org/dictionary/Spanish/index.html Wiktextract: https://github.com/tatuylonen/wiktextract The adapted dictionary records, including their selected or shortened meanings and frequency scores, are distributed under Creative Commons Attribution-ShareAlike 4.0 International: https://creativecommons.org/licenses/by-sa/4.0/ Changes: selected 4,958 distinct headwords; excluded source-only inflections, proper names, offensive/obsolete/rare and narrow specialist senses; reviewed common function words and ambiguous headwords; selected or shortened English glosses; retained noun gender where source-supported; added stable identifiers, source links, and spelling-frequency scores. Existing article+noun starter cards exclude their bare noun from the sourced selection. No conjugation rows or generated translations were added to reach the card count. Source dump: enwiktionary 2026-10-01. Kaikki extraction: 2026-10-21. Cached snapshot downloaded 2026-10-24 and reused after checksum verification on 2026-10-29. Snapshot SHA-256: 9685b1b3b9554bbb7c6540e795eb775aaa6b69ed0d22ea6a33c116e735304605 Frequency data: wordfreq 3.1.1 by Robyn Speer and contributors, https://pypi.org/project/wordfreq/3.1.1/ Scores describe spellings in a mixed corpus; they do not aggregate conjugations or distinguish homographs. They are not definitive lemma-frequency ranks. The complete wordfreq attribution notice follows. wordfreq Copyright 2022 Robyn Speer # Attribution notes Robyn Speer must be credited as Robyn Speer, which is her maiden name, used on academic work. Crediting her as Elia Robyn Lake (her married name) will make the credit less effective, as it will not line up with other work. Crediting Robyn Speer by a different name than one of the above is a serious violation of the license, in which case you do not have permission to use, copy, or redistribute wordfreq. If you use wordfreq in academic work, you must cite it. See "Citing wordfreq" in README.md. # Included licenses `wordfreq` is freely redistributable under the Apache license (see `LICENSE.txt`), and it includes data files that may be redistributed under a Creative Commons Attribution-ShareAlike 4.0 license (). `wordfreq` contains data extracted from Google Books Ngrams () and Google Books Syntactic Ngrams (). The terms of use of this data are: Ngram Viewer graphs and data may be freely used for any purpose, although acknowledgement of Google Books Ngram Viewer as the source, and inclusion of a link to http://books.google.com/ngrams, would be appreciated. `wordfreq` also contains data derived from the following Creative Commons-licensed sources: - The Leeds Internet Corpus, from the University of Leeds Centre for Translation Studies () - Wikipedia, the free encyclopedia () - ParaCrawl, a multilingual Web crawl () It contains data from OPUS OpenSubtitles 2018 (), whose data originates from the OpenSubtitles project () and may be used with attribution to OpenSubtitles. It contains data from various SUBTLEX word lists: SUBTLEX-US, SUBTLEX-UK, SUBTLEX-CH, SUBTLEX-DE, and SUBTLEX-NL, created by Marc Brysbaert et al. (see citations below) and available at . I (Robyn Speer) have obtained permission by e-mail from Marc Brysbaert to distribute these wordlists in wordfreq, to be used for any purpose, not just for academic use, under these conditions: - Wordfreq and code derived from it must credit the SUBTLEX authors. - It must remain clear that SUBTLEX is freely available data. These terms are similar to the Creative Commons Attribution-ShareAlike license. Some additional data was collected by a custom application that watched the streaming Twitter API, in accordance with Twitter's Developer Agreement & Policy. This software gives statistics about words that were commonly used on Twitter; it does not display or republish any Twitter content, and does not contain any content from after Twitter's sale.