Engaging in Linguistic Puzzles
Zach Wissner-Gross, an editor at the data journalism website FiveThirtyEight, has created two comprehensive datasets for the popular word game, Wordle. These datasets, containing a total of 15,287 items, are now publicly available through FiveThirtyEight's GitHub repository.
The first dataset, , lists all 2,315 six-letter words that could potentially be the word of the day for Wordle. The second dataset, , contains 12,972 permissible guesses for the game.
To access these datasets, follow these steps:
- Visit the FiveThirtyEight GitHub page at github.com/fivethirtyeight.
- Look for the repository related to Wordle data — it is often named something like or .
- Inside the repository, you’ll find the aforementioned files.
Alternatively, you can search GitHub directly for "FiveThirtyEight Wordle answers" to locate the repository quickly.
For those who prefer not to use GitHub or want a quick snapshot, some separate blog posts and articles from FiveThirtyEight provide the word lists directly.
Wordle, a game that gives users six chances to guess a specific word, has gained significant popularity. With these datasets, players and data enthusiasts can delve deeper into the game's possibilities, exploring potential answers and guesses in a structured and systematic manner.
The image associated with this article is credited to Flickr user Chelly Cruz.
The comprehensive datasets for Wordle, a popular word game, created by Zach Wissner-Gross, are available for download through FiveThirtyEight's GitHub repository, including a dataset called 'ai-wordle-answers' that contains all 2,315 six-letter words and another dataset named 'ai-wordle-guesses' with 12,972 permissible guesses for the game. These datasets, a fusion of data and cloud computing technology, offer players and data enthusiasts an opportunity to delve deeper into the game's possibilities, exploring potential answers and guesses in a structured and systematic manner.
