Wordle Solver frequency data

Source: wordfreq 3.1.1, Copyright 2022 Robyn Speer and contributors.
https://github.com/rspeer/wordfreq
https://github.com/rspeer/wordfreq/blob/master/NOTICE.md

frequencies.mjs is an adaptation of wordfreq's English large frequency data,
licensed under Creative Commons Attribution-ShareAlike 4.0 International:
https://creativecommons.org/licenses/by-sa/4.0/

Changes: retain only numeric scores for the existing Spell Guess guess list,
round Zipf scores to tenths, and encode one byte per shared dictionary index.
No dictionary or answer list is copied. Missing corpus estimates are zero.
The language-usage snapshot runs through approximately 2021; these are usage
estimates, not official Wordle answer probabilities.

Reproduce with Python and wordfreq==3.1.1:
  python scripts/build-wordle-frequencies.py
Python/wordfreq is needed only to regenerate this checked-in data, not to build
or use the website. wordfreq's software is Apache-2.0 licensed; this distribution
contains derived numeric data, not its Python software.

Upstream data credits, retained from wordfreq's attribution notice:
- Google Books Ngrams: https://books.google.com/ngrams
  and Google Books Syntactic Ngrams.
- University of Leeds Centre for Translation Studies, Leeds Internet Corpus:
  http://corpus.leeds.ac.uk/list.html
- Wikipedia contributors: https://www.wikipedia.org
- ParaCrawl: https://paracrawl.eu
- OPUS OpenSubtitles 2018 and OpenSubtitles: https://www.opensubtitles.org/
- SUBTLEX frequency lists by Marc Brysbaert and colleagues:
  http://crr.ugent.be/programs-data/subtitle-frequencies
  SUBTLEX is freely available data. wordfreq has permission to redistribute it
  for any purpose with author credit and that availability statement.

This adapted frequency dataset remains available under CC BY-SA 4.0. No
endorsement by wordfreq or any corpus provider is implied.