level
int64
1
4
level_id
stringclasses
4 values
category
stringlengths
1
60
words
sequencelengths
4
4
1
🟑
CRUSH INTO A COMPACT SHAPE
[ "BALL", "CRUMPLE", "SCRUNCH", "WAD" ]
2
🟒
FASTENERS
[ "BUCKLE", "CLIP", "HOOK", "SNAP" ]
3
πŸ”΅
MARK AS COMPLETED
[ "CHECK", "CROSS", "STRIKE", "TICK" ]
4
🟣
DEPICTED IN DALÍ’S β€œTHE PERSISTENCE OF MEMORY”
[ "ANT", "BRANCH", "CLOCK", "MELTING" ]
1
🟑
HARDLY BUSTLING
[ "CALM", "QUIET", "SLEEPY", "SLOW" ]
2
🟒
EARN
[ "GROSS", "MAKE", "NET", "YIELD" ]
3
πŸ”΅
REMOTE CONTROL FUNCTIONS
[ "HOME", "MUTE", "STOP", "VOLUME" ]
4
🟣
WORDS BEFORE β€œDRUM”
[ "EAR", "KETTLE", "OIL", "SNARE" ]
1
🟑
CRUSH INTO A COMPACT SHAPE
[ "BALL", "CRUMPLE", "SCRUNCH", "WAD" ]
2
🟒
FASTENERS
[ "BUCKLE", "CLIP", "HOOK", "SNAP" ]
3
πŸ”΅
MARK AS COMPLETED
[ "CHECK", "CROSS", "STRIKE", "TICK" ]
4
🟣
DEPICTED IN DALÍ’S β€œTHE PERSISTENCE OF MEMORY”
[ "ANT", "BRANCH", "CLOCK", "MELTING" ]
1
🟑
PARTS OF A FOOT
[ "ARCH", "BALL", "HEEL", "SOLE" ]
2
🟒
ONE DOLLAR
[ "BUCK", "CLAM", "SINGLE", "SMACKER" ]
3
πŸ”΅
KINDS OF MUSHROOMS
[ "BUTTON", "MOREL", "OYSTER", "TRUMPET" ]
4
🟣
POT___
[ "BELLY", "HOLE", "LUCK", "STICKER" ]
1
🟑
PERCEIVE
[ "CATCH", "CLOCK", "NOTICE", "REGISTER" ]
2
🟒
CADENCE
[ "BEAT", "METER", "RHYTHM", "TIME" ]
3
πŸ”΅
ONE IN A GROUP OF TWELVE
[ "DONUT", "INCH", "JUROR", "MONTH" ]
4
🟣
DOG ___
[ "DAYS", "PADDLE", "TAG", "TIRED" ]
1
🟑
SLIMY ANIMALS
[ "EARTHWORM", "EEL", "SALAMANDER", "SLUG" ]
2
🟒
THINGS THAT LUMINESCE
[ "AURORA", "FIREFLY", "GLOWSTICK", "RADIUM" ]
3
πŸ”΅
DUTCH SYMBOLS
[ "CANAL", "CLOG", "TULIP", "WINDMILL" ]
4
🟣
ENDING WITH SYNONYMS FOR β€œPLUNGE”
[ "GATECRASH", "RAINDROP", "SKYDIVE", "WATERFALL" ]
1
🟑
MOVE QUICKLY
[ "BOLT", "DART", "DASH", "FLY" ]
2
🟒
FUN TIME
[ "BALL", "BLAST", "KICK", "THRILL" ]
3
πŸ”΅
WORDS BEFORE AN ADDRESSEE
[ "ATTENTION", "DEAR", "FOR", "TO" ]
4
🟣
NAME ___
[ "BRAND", "DROP", "GAME", "NAMES" ]
1
🟑
LUNCH ORDERS
[ "CLUB", "HERO", "MELT", "WRAP" ]
2
🟒
USED TO MAKE COFFEE
[ "BEANS", "FILTER", "GRINDER", "WATER" ]
3
πŸ”΅
PAY, WITH β€œUP”
[ "ANTE", "COUGH", "PONY", "SETTLE" ]
1
🟑
SHADES OF RED
[ "BRICK", "CHERRY", "MAROON", "RUBY" ]
2
🟒
APPOINTMENT SPECIFICATIONS
[ "DATE", "DURATION", "LOCATION", "TIME" ]
3
πŸ”΅
DIFFERENT AMOUNTS OF HAIR
[ "HEAD", "LOCK", "STRAND", "WISP" ]
4
🟣
TREE HOMOPHONES
[ "BEACH", "FUR", "PAIR", "YOU" ]
1
🟑
β€œNOTHING TO IT!”
[ "EASY", "NO SWEAT", "PIECE OF CAKE", "SURE THING" ]
2
🟒
OBJECTS FROM GREEK MYTH
[ "AEGIS", "APPLE OF DISCORD", "GOLDEN FLEECE", "PANDORA’S BOX" ]
3
πŸ”΅
PROVERBIAL THINGS TO KICK
[ "CAN", "HABIT", "HORNETS’ NEST", "TIRES" ]
4
🟣
STARTING WITH POSSESSIVE PRONOUNS
[ "HERSHEY", "HISTAMINE", "ITSY", "MINEFIELD" ]
1
🟑
BREAKFAST SIDES
[ "BACON", "GRITS", "HASH", "TOAST" ]
2
🟒
PUSHES, AS A BUTTON
[ "CLICKS", "HITS", "PRESSES", "TAPS" ]
3
πŸ”΅
THEY HAVE A HORN
[ "AFRICA", "BUGLER", "CAR", "UNICORN" ]
4
🟣
OSCAR-WINNING ACTORS
[ "BRIDGES", "IRONS", "PHOENIX", "WASHINGTON" ]
1
🟑
APPROXIMATELY
[ "ABOUT", "AROUND", "LIKE", "ROUGHLY" ]
2
🟒
TREES
[ "ELDER", "PALM", "PINE", "SPRUCE" ]
3
πŸ”΅
SIZABLE, AS AN AMOUNT
[ "HANDSOME", "HEALTHY", "RESPECTABLE", "TIDY" ]
4
🟣
U.S. STATE ABBREVIATIONS, PER AP STYLE GUIDE
[ "ALA", "ARK", "MISS", "ORE" ]
1
🟑
CELESTIAL OBJECTS
[ "COMET", "MOON", "PLANET", "STAR" ]
2
🟒
ARCHERS
[ "CUPID", "HAWKEYE", "ROBIN HOOD", "SAGITTARIUS" ]
3
πŸ”΅
FEMALE ANIMALS
[ "JENNY", "NANNY", "QUEEN", "VIXEN" ]
4
🟣
β€œS.N.L.” CAST MEMBERS
[ "FEY", "RUDOLPH", "SHANNON", "STRONG" ]
1
🟑
β€œLIONS AND TIGERS AND BEARS, OH MY!”
[ "BEARS", "LIONS", "OH MY", "TIGERS" ]
2
🟒
BELOVED, AS A FRIEND
[ "CLOSE", "DEAR", "INTIMATE", "TIGHT" ]
3
πŸ”΅
WORDS THAT SOUND LIKE PLURAL LETTERS
[ "BEES", "EASE", "JAYS", "USE" ]
4
🟣
WHEN TRIPLED, HIT SONG TITLES
[ "BILLS", "BYE", "GIMME", "PLEASE" ]
1
🟑
HOMOPHONES
[ "EWE", "U", "YEW", "YOU" ]
2
🟒
NECKLINES
[ "BOAT", "CREW", "SCOOP", "V" ]
3
πŸ”΅
WAYS TO EXPRESS 1,000
[ "GRAND", "K", "M", "THOU" ]
4
🟣
SUPER ___
[ "8", "BOWL", "GLUE", "TUESDAY" ]
1
🟑
SLANG FOR HEAD
[ "COCONUT", "CROWN", "DOME", "SKULL" ]
2
🟒
PALINDROMES
[ "ABBA", "KAYAK", "NUN", "STATS" ]
3
πŸ”΅
POLICE PROCEDURALS
[ "BONES", "ELEMENTARY", "KOJAK", "MONK" ]
4
🟣
FIRST IN A COMEDY DUO
[ "ABBOTT", "FRY", "KEY", "LAUREL" ]
1
🟑
LOOP
[ "BAND", "CIRCLE", "HOOP", "RING" ]
2
🟒
COOKING VESSELS
[ "CASSEROLE", "CROCK", "PAN", "POT" ]
3
πŸ”΅
KINDS OF BEDS
[ "BUNK", "CANOPY", "MURPHY", "SLEIGH" ]
4
🟣
THINGS CALLED β€œOSCAR”
[ "BALONEY", "GROUCH", "O", "STATUETTE" ]
1
🟑
CONCOCTION
[ "COCKTAIL", "COMPOUND", "MIXTURE", "SOLUTION" ]
2
🟒
TYPES OF SENTENCES
[ "COMMAND", "EXCLAMATION", "QUESTION", "STATEMENT" ]
3
πŸ”΅
KINDS OF BROS
[ "CRYPTO", "FINANCE", "PHARMA", "TECH" ]
4
🟣
COMPLAINT HOMOPHONES
[ "GROWN", "MOWN", "WHALE", "WINE" ]
1
🟑
DEFER
[ "DELAY", "POSTPONE", "SHELVE", "TABLE" ]
2
🟒
BAR FIXTURES
[ "COUNTER", "KEG", "STOOL", "TAP" ]
3
πŸ”΅
WATERCRAFT
[ "BARGE", "JUNK", "SUB", "TUG" ]
4
🟣
SEEN IN β€œDONKEY KONG”
[ "BARREL", "GORILLA", "HAMMER", "LADDER" ]
1
🟑
DEAL WITH
[ "FIELD", "HANDLE", "MANAGE", "TACKLE" ]
2
🟒
STYLES OF BEER
[ "BITTER", "BOCK", "SOUR", "STOUT" ]
3
πŸ”΅
INVESTMENT VERBS
[ "HEDGE", "HOLD", "SHORT", "TRADE" ]
4
🟣
___ DOME
[ "CAPITOL", "CHROME", "ONION", "TEAPOT" ]
1
🟑
INTREPIDITY
[ "GRIT", "HEART", "NERVE", "PLUCK" ]
2
🟒
ROAD
[ "ARTERY", "AVENUE", "DRAG", "DRIVE" ]
3
πŸ”΅
KINDS OF PAPER
[ "CONSTRUCTION", "GRAPH", "TISSUE", "WAX" ]
4
🟣
KINDS OF TENNIS COURTS
[ "CARPET", "CLAY", "GRASS", "HARD" ]
1
🟑
TYPES OF RADIO
[ "AM", "HAM", "SATELLITE", "WALKIE-TALKIE" ]
2
🟒
KINDS OF PLAY FIGHTS
[ "FOOD", "PILLOW", "SNOWBALL", "WATER BALLOON" ]
3
πŸ”΅
SNACK CAKES
[ "DEVIL DOG", "DING DONG", "HOHO", "YODEL" ]
4
🟣
CLASSIC JOKE STAPLES
[ "BAR", "CHICKEN", "KNOCK-KNOCK", "LIGHT BULB" ]
1
🟑
SPICES
[ "CLOVE", "MACE", "NUTMEG", "PEPPER" ]
2
🟒
PERFORM POORLY
[ "FLAIL", "FLOP", "FLOUNDER", "TANK" ]
3
πŸ”΅
SKIM THROUGH, AS PAGES
[ "FLIP", "LEAF", "RIFFLE", "THUMB" ]
4
🟣
POP SINGERS MINUS β€œS”
[ "KEY", "MAR", "SPEAR", "STYLE" ]
1
🟑
FISH
[ "FLUKE", "MULLET", "SOLE", "TANG" ]
2
🟒
WORDS IN AN AUCTION-ENDING PHRASE
[ "GOING", "ONCE", "SOLD", "TWICE" ]
3
πŸ”΅
GLOBAL CURRENCIES
[ "POUND", "REAL", "SOL", "YUAN" ]
4
🟣
WORDS BEFORE β€œCUP”
[ "BUTTER", "DIVA", "SOLO", "WORLD" ]
1
🟑
FANTASY CREATURES
[ "DRAGON", "GIANT", "PIXIE", "TROLL" ]
2
🟒
EMAIL FOLDERS
[ "DRAFTS", "SENT", "SPAM", "TRASH" ]
3
πŸ”΅
CITRUS SODAS
[ "CRUSH", "SPRITE", "SQUIRT", "STARRY" ]
4
🟣
ANIMAL HOMOPHONES
[ "BORE", "LINKS", "PHISH", "TOWED" ]
2
🟒
OBJECTS WITH TEETH
[ "COMB", "GEAR", "SAW", "ZIPPER" ]

Made with the following script using a local copy of this website:

import re

from bs4 import BeautifulSoup
from datasets import Dataset

with open("Today’s NYT Connections Answers Jan 5, #574 - Daily Updates & Hints - Word Tips.htm", encoding="utf-8") as f:
    html = f.read()

soup = BeautifulSoup(html, "html.parser")
texts = re.findall(r'"([^"]*)"', "".join(soup.find_all("script")[9]))
texts = [" ".join(text.split()).replace(" ,", ", ") for text in texts if ":" in text and (text.startswith("🟑") or text.startswith("🟒") or text.startswith("πŸ”΅") or text.startswith("🟣"))]
levels = {
    "🟑": 1,
    "🟒": 2,
    "πŸ”΅": 3,
    "🟣": 4
}

def gen():
    for group in texts:
        level_id = group[:1]
        group = group[2:]
        category, group = group.split(":")
        entry = {
            "level": levels[level_id],
            "level_id": level_id,
            "category": category,
            "words": [word.strip() for word in group.split(",")]
        }
        #pprint(entry)
        yield entry

dataset = Dataset.from_generator(gen)
dataset.push_to_hub("T145/connections")
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