Datasets:
wall_id stringlengths 4 4 | season int64 1 15 | episode int64 1 37 | words sequencelengths 16 16 | gt_connections sequencelengths 4 4 | groups dict | overall_human_performance dict |
|---|---|---|---|---|---|---|
3ca8 | 1 | 8 | [
"Riser",
"Edmonds",
"Higgins",
"Plum",
"Jaffa",
"Parsons",
"Chorley",
"Moriarty",
"Holmes",
"Indiana Jones",
"Bannister",
"Forsyth",
"Banbury",
"Tread",
"Eccles",
"Newel"
] | [
"Parts of a staircase",
"___ cake",
"Quiz show hosts",
"Fictional professors"
] | {
"group_1": {
"group_id": "3ca8_01",
"gt_connection": "Parts of a staircase",
"gt_words": [
"Newel",
"Bannister",
"Tread",
"Riser"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "3ca8_02",
"gt_connection":... | {
"connections": [
1,
1,
1,
0
],
"grouping": [
1,
1,
1,
1
]
} |
a239 | 1 | 12 | [
"Boxer",
"Mule",
"Wedge",
"Custard",
"Sandwich",
"Cookie",
"Plimsoll",
"Vienna",
"Napoleon",
"Brogue",
"Snowball",
"Pavlova",
"Major",
"Wellington",
"Clover",
"Pump"
] | [
"Types of shoe",
"Named after famous people",
"TV cats",
"Animal Farm characters"
] | {
"group_1": {
"group_id": "a239_01",
"gt_connection": "Types of shoe",
"gt_words": [
"Wedge",
"Pump",
"Mule",
"Brogue"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "a239_02",
"gt_connection": "Named afte... | {
"connections": [
1,
1,
1,
1
],
"grouping": [
1,
0,
0,
0
]
} |
a13c | 1 | 14 | [
"Bluebell",
"Blackberry",
"Watercress",
"Eskimo",
"Mud",
"Bluegrass",
"Rabbit",
"Doctor",
"Keystone",
"Hunt",
"Grand Canyon",
"Wensleydale",
"Hazel",
"Lavender",
"Silver",
"Craft"
] | [
"Heritage railway lines",
"Witch ___",
"Types of pie",
"Official nicknames of US states"
] | {
"group_1": {
"group_id": "a13c_01",
"gt_connection": "Heritage railway lines",
"gt_words": [
"Lavender",
"Wensleydale",
"Watercress",
"Bluebell"
],
"human_performance": {
"connection": 1,
"grouping": 0
}
},
"group_2": {
"group_id": "a13c_02",
"... | {
"connections": [
1,
0,
1,
0
],
"grouping": [
0,
0,
0,
0
]
} |
a05f | 2 | 1 | [
"Crescent",
"Rose",
"Duke",
"Ace",
"Globe",
"Sarah Jane",
"Duchess",
"Tegan",
"Butterfly",
"Roundhouse",
"Scissor",
"Adelphi",
"Cross",
"Lady",
"Fist",
"Apollo"
] | [
"Doctor Who companions",
"Iron ____",
"London theaters",
"Kicks in martial arts"
] | {
"group_1": {
"group_id": "a05f_01",
"gt_connection": "Doctor Who companions",
"gt_words": [
"Rose",
"Sarah Jane",
"Tegan",
"Ace"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "a05f_02",
"gt_connection": ... | {
"connections": [
1,
1,
1,
1
],
"grouping": [
1,
1,
0,
0
]
} |
081a | 2 | 8 | [
"Peach",
"Lark",
"Rocket",
"Buck",
"Mallard",
"Cable",
"Kiwi",
"Sara Crewe",
"Iron Duke",
"Light",
"City of Truro",
"Ariel",
"Clad",
"Wonder Woman",
"Loonie",
"Tornado"
] | [
"Currency nicknames",
"Fictional princesses",
"Sky___",
"Steam engines"
] | {
"group_1": {
"group_id": "081a_01",
"gt_connection": "Currency nicknames",
"gt_words": [
"Loonie",
"Kiwi",
"Cable",
"Buck"
],
"human_performance": {
"connection": 1,
"grouping": 0
}
},
"group_2": {
"group_id": "081a_02",
"gt_connection": "Ficti... | {
"connections": [
1,
1,
0,
0
],
"grouping": [
0,
0,
0,
0
]
} |
bb84 | 3 | 3 | [
"Man",
"Winter",
"Brown",
"Dean",
"Lambeth",
"Lateran",
"Hat",
"Burn",
"Ramsay",
"Bennett",
"Bale",
"Crystal",
"Poll",
"Louvre",
"Mushroom",
"Banks"
] | [
"Famous people called Gordon",
"Straw ___",
"Palaces",
"Premiership football referees"
] | {
"group_1": {
"group_id": "bb84_01",
"gt_connection": "Famous people called Gordon",
"gt_words": [
"Ramsay",
"Banks",
"Burn",
"Brown"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "bb84_02",
"gt_connectio... | {
"connections": [
1,
0,
1,
0
],
"grouping": [
1,
0,
0,
0
]
} |
0d3d | 3 | 8 | [
"Wood",
"Rink",
"Sturgeon",
"Parkinson",
"Brick",
"Newton",
"Gresham",
"Pudding",
"Cowper",
"Watts",
"Wesley",
"Chancery",
"Park",
"Ditch",
"Murphy",
"Jack"
] | [
"London lanes",
"Terms used in bowls",
"English hymn writers",
"Names of humorous laws"
] | {
"group_1": {
"group_id": "0d3d_01",
"gt_connection": "London lanes",
"gt_words": [
"Brick",
"Pudding",
"Chancery",
"Park"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "0d3d_02",
"gt_connection": "Terms ... | {
"connections": [
1,
1,
1,
1
],
"grouping": [
1,
1,
0,
0
]
} |
8826 | 3 | 9 | [
"Johnston",
"Tory",
"Last legs",
"Uppers",
"Eighth",
"Knees",
"Brock",
"Elating",
"Agnew",
"Marks",
"Bike",
"Banshees",
"Galore",
"Angled",
"Blofeld",
"Boycott"
] | [
"Test Match Special regulars",
"On your ___",
"Words originating from Irish",
"Last letter to front = new word"
] | {
"group_1": {
"group_id": "8826_01",
"gt_connection": "Test Match Special regulars",
"gt_words": [
"Agnew",
"Blofeld",
"Boycott",
"Johnston"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "8826_02",
"gt_co... | {
"connections": [
1,
1,
0,
0
],
"grouping": [
1,
1,
0,
0
]
} |
51dd | 4 | 2 | [
"Rose",
"Daisy",
"Expose",
"Lame",
"Westwood",
"Crop",
"Dress",
"Hemingway",
"Louie",
"Dewey",
"McCartney",
"Magic",
"Guinness",
"Pique",
"Donald",
"Vicious"
] | [
"Disney ducks",
"British fashion designers",
"____ circle",
"Final letter can be accented"
] | {
"group_1": {
"group_id": "51dd_01",
"gt_connection": "Disney ducks",
"gt_words": [
"Daisy",
"Dewey",
"Donald",
"Louie"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "51dd_02",
"gt_connection": "British f... | {
"connections": [
1,
1,
1,
0
],
"grouping": [
1,
1,
1,
1
]
} |
ffbc | 4 | 3 | [
"Liu Kang",
"Frasier",
"Suzuki",
"Scorpion",
"Tattoo",
"Cio-Cio San",
"Pinkerton",
"Joey",
"Sub-Zero",
"Indian",
"Goro",
"Angel",
"Reptile",
"Invisible",
"Squid",
"Lewis"
] | [
"Characters in Madame Butterfly",
"Spin-offs",
"Types of ink",
"Mortal Kombat fighters"
] | {
"group_1": {
"group_id": "ffbc_01",
"gt_connection": "Characters in Madame Butterfly",
"gt_words": [
"Pinkerton",
"Cio-Cio San",
"Suzuki",
"Goro"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "ffbc_02",
... | {
"connections": [
1,
1,
1,
0
],
"grouping": [
1,
1,
1,
1
]
} |
927d | 4 | 14 | [
"Pug",
"Chevy",
"Bolognese",
"Maltese",
"Syrup",
"Greek",
"Caddy",
"Papillon",
"Lorraine",
"Jag",
"Calvary",
"Scooby",
"Plates",
"Beemer",
"Roller",
"Celtic"
] | [
"Nicknames for car manufacturers",
"Types of cross",
"Toy dogs",
"Cockney rhyming slang"
] | {
"group_1": {
"group_id": "927d_01",
"gt_connection": "Nicknames for car manufacturers",
"gt_words": [
"Beemer",
"Caddy",
"Jag",
"Roller"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "927d_02",
"gt_conne... | {
"connections": [
1,
1,
1,
1
],
"grouping": [
1,
0,
0,
0
]
} |
a63f | 5 | 2 | [
"Heaven",
"Fabric",
"Level",
"Cream",
"Sham",
"Po Na Na",
"Cinderella",
"Tiger Tiger",
"Fantasia",
"Bolt",
"Maroon",
"Mask",
"Test",
"Mulan",
"Gatecrasher",
"Tangled"
] | [
"Disney animations",
"Bands without their numbers",
"Famous UK nightclubs",
"Eye ___"
] | {
"group_1": {
"group_id": "a63f_01",
"gt_connection": "Disney animations",
"gt_words": [
"Tangled",
"Mulan",
"Cinderella",
"Fantasia"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "a63f_02",
"gt_connectio... | {
"connections": [
1,
1,
1,
0
],
"grouping": [
1,
1,
0,
0
]
} |
48df | 5 | 9 | [
"Camilla",
"Viceroy",
"Vincent",
"Vimy",
"Emir",
"Ola",
"Zipper",
"Condesa",
"Viscount",
"Squidgy",
"Contra",
"Viking",
"Wellington",
"Comte",
"Anton",
"Cherie"
] | [
"Strictly Come Dancing professionals",
"___gate scandals",
"Vickers aircraft",
"Noble titles"
] | {
"group_1": {
"group_id": "48df_01",
"gt_connection": "Strictly Come Dancing professionals",
"gt_words": [
"Camilla",
"Vincent",
"Ola",
"Anton"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "48df_02",
"gt... | {
"connections": [
1,
1,
0,
0
],
"grouping": [
1,
0,
0,
0
]
} |
691a | 5 | 16 | [
"Super Fly",
"Caryatid",
"Foxing",
"Pilaster",
"Car Wash",
"Marginalia",
"Piloti",
"Dr B Ching",
"Bookworm",
"Stanchion",
"Dog ears",
"Foxy Brown",
"Remote Controller",
"Shaft",
"Sticker",
"Sunned"
] | [
"Blaxploitation films",
"Damage done to books",
"Architectural supports",
"Private Eye columnists"
] | {
"group_1": {
"group_id": "691a_01",
"gt_connection": "Blaxploitation films",
"gt_words": [
"Super Fly",
"Foxy Brown",
"Car Wash",
"Shaft"
],
"human_performance": {
"connection": 0,
"grouping": 1
}
},
"group_2": {
"group_id": "691a_02",
"gt_conn... | {
"connections": [
0,
1,
1,
0
],
"grouping": [
1,
1,
1,
1
]
} |
d418 | 6 | 11 | [
"Metal Mickey",
"Goto",
"Print",
"Captains Courageous",
"GLaDOS",
"Rem",
"Beano",
"Kim",
"Bishop",
"Session",
"Gunga Din",
"Data",
"If",
"Binge",
"Rosey",
"Bender"
] | [
"Works by Rudyard Kipling",
"Drinking sprees",
"BASIC keywords",
"Fictional robots"
] | {
"group_1": {
"group_id": "d418_01",
"gt_connection": "Works by Rudyard Kipling",
"gt_words": [
"Kim",
"Captains Courageous",
"If",
"Gunga Din"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "d418_02",
"gt... | {
"connections": [
1,
1,
0,
1
],
"grouping": [
1,
1,
0,
0
]
} |
d97e | 6 | 13 | [
"Cummins",
"Isuzu",
"Acid",
"Chocolate",
"Canada",
"Esler",
"Iveco",
"Snow",
"Paxman",
"Cough",
"Greylag",
"Wark",
"Egyptian",
"Tusa",
"Maitlis",
"Pear"
] | [
"Types of geese",
"Sweets called \"___ drop\"",
"Newsnight presenters",
"Diesel engine brands"
] | {
"group_1": {
"group_id": "d97e_01",
"gt_connection": "Types of geese",
"gt_words": [
"Greylag",
"Canada",
"Egyptian",
"Snow"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "d97e_02",
"gt_connection": "Swe... | {
"connections": [
1,
1,
1,
1
],
"grouping": [
1,
1,
0,
0
]
} |
561b | 6 | 14 | [
"Stanhope",
"Douglas",
"Hansom",
"Ramsey",
"Peel",
"Dale",
"James",
"Surrey",
"Connor",
"Oriental",
"Gig",
"Jacques",
"Pratt",
"Four-in-hand",
"Castletown",
"Windsor"
] | [
"Towns on the Isle of Man",
"Carry On actors",
"Horse-drawn carriages",
"Necktie knots"
] | {
"group_1": {
"group_id": "561b_01",
"gt_connection": "Towns on the Isle of Man",
"gt_words": [
"Douglas",
"Castletown",
"Ramsey",
"Peel"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "561b_02",
"gt_conne... | {
"connections": [
1,
1,
1,
0
],
"grouping": [
1,
1,
0,
0
]
} |
6e22 | 7 | 7 | [
"Hughes",
"Pub",
"Roosevelt",
"Adol",
"Dylan",
"Louis XIV",
"Rhys",
"Pearl",
"Kariba",
"Hoover",
"Aled",
"Abagnale Jr.",
"Aswan",
"Evan",
"Phosphor",
"Eder"
] | [
"Welsh names",
"Famous dams",
"___escence",
"Portrayed by Leonardo DiCaprio"
] | {
"group_1": {
"group_id": "6e22_01",
"gt_connection": "Welsh names",
"gt_words": [
"Aled",
"Evan",
"Dylan",
"Rhys"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "6e22_02",
"gt_connection": "Famous dams",
... | {
"connections": [
1,
1,
0,
1
],
"grouping": [
1,
1,
1,
1
]
} |
6782 | 7 | 9 | [
"Port Natal",
"Archives",
"Convene",
"Nosegay",
"Tananarive",
"Bombay",
"Organise",
"Salisbury",
"Corral",
"Rangoon",
"Corsage",
"Buttonhole",
"Assemble",
"Muster",
"Festoon",
"Garland"
] | [
"Types of floral bouquet",
"Gather people together",
"End with a herb",
"Former colonial names for cities"
] | {
"group_1": {
"group_id": "6782_01",
"gt_connection": "Types of floral bouquet",
"gt_words": [
"Festoon",
"Nosegay",
"Buttonhole",
"Garland"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "6782_02",
"gt_co... | {
"connections": [
1,
1,
1,
1
],
"grouping": [
1,
1,
1,
1
]
} |
820e | 7 | 12 | [
"Maestro",
"Whiz",
"Brill",
"Clontarf",
"Shark",
"Maven",
"CrΓ©cy",
"Hastings",
"Megrim",
"Flodden",
"Bosworth",
"Paterson",
"Irvine",
"Flounder",
"Sole",
"Dab"
] | [
"Battles in which monarchs were killed",
"Scottish rugby union internationals",
"Experts",
"Flatfish"
] | {
"group_1": {
"group_id": "820e_01",
"gt_connection": "Battles in which monarchs were killed",
"gt_words": [
"Clontarf",
"Bosworth",
"CrΓ©cy",
"Flodden"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "820e_02",... | {
"connections": [
1,
1,
1,
1
],
"grouping": [
1,
1,
1,
1
]
} |
3115 | 8 | 5 | [
"Roly",
"Morrison",
"Cattail",
"Chester",
"Reed",
"Gripper",
"Wake",
"Cale",
"Sedge",
"Tucker",
"Hat",
"Mrs McClusky",
"Arrowhead",
"Bulrush",
"Mans",
"Zammo"
] | [
"Grange Hill characters",
"Members of the Velvet Underground",
"English towns called ___field",
"Marsh plants"
] | {
"group_1": {
"group_id": "3115_01",
"gt_connection": "Grange Hill characters",
"gt_words": [
"Mrs McClusky",
"Roly",
"Gripper",
"Zammo"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "3115_02",
"gt_connec... | {
"connections": [
1,
1,
1,
1
],
"grouping": [
1,
1,
1,
1
]
} |
e035 | 8 | 8 | [
"Damn",
"Gluten",
"Yeast",
"Mayor",
"Yew",
"Reeves",
"Grandee",
"Dough",
"Reeve",
"Bale",
"Carter",
"Shortening",
"Provost",
"Maguire",
"Nazim",
"Arrowroot"
] | [
"Ingredients in bread",
"Actors who played comic book heroes",
"Homophones of female animals",
"Local dignitaries"
] | {
"group_1": {
"group_id": "e035_01",
"gt_connection": "Ingredients in bread",
"gt_words": [
"Yeast",
"Shortening",
"Gluten",
"Arrowroot"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "e035_02",
"gt_connec... | {
"connections": [
1,
1,
0,
1
],
"grouping": [
1,
1,
0,
0
]
} |
ccdf | 8 | 10 | [
"Guillotine",
"Daguerrotypes",
"South Beach",
"Zone",
"Bikini",
"King",
"Braille",
"Stethoscope",
"Prior",
"Metamorphosis",
"Milk Can Escape",
"F-Plan",
"Zig Zag Girl",
"Atkins",
"Mowlam",
"Dukan"
] | [
"Magic illusions",
"Northern Ireland Secretaries of States",
"Diets",
"Invented by Frenchmen"
] | {
"group_1": {
"group_id": "ccdf_01",
"gt_connection": "Magic illusions",
"gt_words": [
"Metamorphosis",
"Guillotine",
"Milk Can Escape",
"Zig Zag Girl"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "ccdf_02",... | {
"connections": [
1,
0,
1,
1
],
"grouping": [
1,
1,
1,
1
]
} |
23ba | 9 | 5 | [
"England",
"Box",
"Players",
"Pads",
"Helmet",
"Drive",
"Nordic Era",
"C",
"Sell alcohol",
"Stump",
"Ages",
"Bails",
"Class",
"Watch television",
"Bat",
"Gloves"
] | [
"Need a licence",
"Cricket equipment",
"Middle ___",
"Anagrams of herbs"
] | {
"group_1": {
"group_id": "23ba_01",
"gt_connection": "Need a licence",
"gt_words": [
"Watch television",
"Box",
"Drive",
"Sell alcohol"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "23ba_02",
"gt_connec... | {
"connections": [
1,
1,
0,
0
],
"grouping": [
1,
1,
0,
0
]
} |
61be | 9 | 8 | [
"Tonga",
"Drambuie",
"Hawk",
"Gride",
"Tumbrel",
"Gig",
"Howard",
"Cheeryble",
"Squeers",
"Menzies",
"Gillard",
"Chariot",
"Tunnocks",
"Abbott",
"Stagecoach",
"M&Co"
] | [
"Australian prime ministers",
"Nicholas Nickleby characters",
"Scottish companies",
"Horse-drawn vehicles"
] | {
"group_1": {
"group_id": "61be_01",
"gt_connection": "Australian prime ministers",
"gt_words": [
"Menzies",
"Abbott",
"Howard",
"Gillard"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "61be_02",
"gt_conn... | {
"connections": [
1,
1,
0,
1
],
"grouping": [
1,
0,
0,
0
]
} |
d97b | 9 | 12 | [
"Wilco",
"Alf",
"Five by five",
"Fixer",
"Wetting agent",
"Shaky",
"The Mule",
"ZenyattΓ Mondatta",
"Stop bath",
"Negative",
"Ming",
"Roger",
"Fogging",
"Pan-pan",
"Paul",
"No Parlez"
] | [
"Photographic development",
"Voice procedure",
"1980s number-one albums",
"Extraterrestrials"
] | {
"group_1": {
"group_id": "d97b_01",
"gt_connection": "Photographic development",
"gt_words": [
"Fogging",
"Fixer",
"Stop bath",
"Wetting agent"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "d97b_02",
"g... | {
"connections": [
1,
1,
0,
1
],
"grouping": [
1,
1,
0,
0
]
} |
e1ca | 10 | 11 | [
"Chocks away",
"Well done",
"Granita",
"Jump ball",
"Cresta Run",
"Blue",
"Graupel",
"Bloody",
"Typhoid",
"Hitchhike",
"Medium",
"Hail",
"Saturns rings",
"Rare",
"Virgin",
"Ascend"
] | [
"___ Mary",
"Meat cooking times",
"Made of ice",
"Thumb gestures"
] | {
"group_1": {
"group_id": "e1ca_01",
"gt_connection": "___ Mary",
"gt_words": [
"Bloody",
"Virgin",
"Hail",
"Typhoid"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "e1ca_02",
"gt_connection": "Meat cookin... | {
"connections": [
1,
1,
1,
1
],
"grouping": [
1,
1,
1,
1
]
} |
30fd | 10 | 17 | [
"Harlem",
"Handy",
"NoHo",
"Animal",
"Large",
"Beuys",
"Ono",
"Midtown",
"Bowery",
"Tax",
"Morrison",
"Anderson",
"Chelsea",
"Bus",
"Hells Kitchen",
"Butchers"
] | [
"Areas of Manhattan",
"___ shelter",
"Performance artists",
"Anagrams of composers"
] | {
"group_1": {
"group_id": "30fd_01",
"gt_connection": "Areas of Manhattan",
"gt_words": [
"Midtown",
"Hells Kitchen",
"NoHo",
"Chelsea"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "30fd_02",
"gt_connect... | {
"connections": [
1,
1,
1,
0
],
"grouping": [
1,
0,
0,
0
]
} |
7490 | 10 | 19 | [
"PBJ",
"Corrina",
"IRS",
"Liar",
"Sloppy Joe",
"Bolero",
"DEA",
"Reuben",
"Fandango",
"ATF",
"Pan-Bagnat",
"JamΓ³n",
"CIA",
"Sarabande",
"Flamenco",
"BLT"
] | [
"Spanish dances",
"US government agencies",
"Halved movie titles",
"Sandwiches"
] | {
"group_1": {
"group_id": "7490_01",
"gt_connection": "Spanish dances",
"gt_words": [
"Sarabande",
"Flamenco",
"Bolero",
"Fandango"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "7490_02",
"gt_connection"... | {
"connections": [
1,
1,
1,
1
],
"grouping": [
1,
1,
1,
1
]
} |
f480 | 10 | 25 | [
"Duccio",
"Dali",
"Broiler",
"Hephaestus",
"Capon",
"Socrates",
"Vulcan",
"Didi",
"Cafu",
"Agni",
"Tintoretto",
"Leonardo",
"Pullet",
"Pele",
"Warhol",
"Poussin"
] | [
"Brazilian international footballers",
"Fire deities",
"\"Last Supper\" artists",
"Types of chicken"
] | {
"group_1": {
"group_id": "f480_01",
"gt_connection": "Brazilian international footballers",
"gt_words": [
"Socrates",
"Leonardo",
"Didi",
"Cafu"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "f480_02",
"... | {
"connections": [
1,
1,
0,
1
],
"grouping": [
1,
1,
1,
1
]
} |
1f57 | 10 | 26 | [
"Wurlitzer",
"Thélème",
"Northanger",
"Redwall",
"Nightmare",
"Baldwin Combo",
"Ames",
"CP-70",
"Rhodes",
"Downton",
"Clavinet",
"Parks",
"Liver",
"Avid",
"Uke",
"Evans"
] | [
"Boys names missing a letter",
"England wicketkeepers",
"Electric keyboard",
"Fictional abbeys"
] | {
"group_1": {
"group_id": "1f57_01",
"gt_connection": "Boys names missing a letter",
"gt_words": [
"Avid",
"Uke",
"Liver",
"Ames"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "1f57_02",
"gt_connection": ... | {
"connections": [
1,
0,
0,
1
],
"grouping": [
1,
1,
1,
1
]
} |
89c8 | 11 | 5 | [
"Blue sky",
"Lungo",
"Exposure",
"Vain",
"Flat white",
"Sandman",
"Brightside",
"Wishful",
"DSLR",
"Negative",
"Focus",
"Espresso",
"Lateral",
"Bojangles",
"Filter",
"Irish"
] | [
"\"Mr\" songs",
"___ thinking",
"Coffee",
"Photographic terms"
] | {
"group_1": {
"group_id": "89c8_01",
"gt_connection": "\"Mr\" songs",
"gt_words": [
"Sandman",
"Brightside",
"Vain",
"Bojangles"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "89c8_02",
"gt_connection": "... | {
"connections": [
1,
1,
1,
1
],
"grouping": [
1,
1,
1,
1
]
} |
dd09 | 11 | 6 | [
"Castella",
"Hamlet",
"Eugene Onegin",
"Erie",
"Capriccio Italien",
"Console",
"Swan Lake",
"Suez",
"Henri Wintermans",
"Herengracht",
"Player",
"Upright",
"Spinet",
"King Six",
"Panama",
"Grand"
] | [
"Works of Tchaikovsky",
"Canals",
"Cigars",
"Members of the keyboard family"
] | {
"group_1": {
"group_id": "dd09_01",
"gt_connection": "Works of Tchaikovsky",
"gt_words": [
"Hamlet",
"Capriccio Italien",
"Swan Lake",
"Eugene Onegin"
],
"human_performance": {
"connection": 0,
"grouping": 1
}
},
"group_2": {
"group_id": "dd09_02",... | {
"connections": [
0,
1,
1,
1
],
"grouping": [
1,
1,
1,
1
]
} |
4f29 | 11 | 16 | [
"Jab",
"Urchin",
"Sponge",
"Coral",
"Yorkshire",
"Black",
"Beckham",
"Line",
"Falls",
"Hook",
"Christmas",
"Summer",
"Plum",
"Bolo",
"Cross",
"Hydra"
] | [
"Punches",
"Aquatic invertebrates",
"Victoria ___",
"Puddings"
] | {
"group_1": {
"group_id": "4f29_01",
"gt_connection": "Punches",
"gt_words": [
"Hook",
"Bolo",
"Jab",
"Cross"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "4f29_02",
"gt_connection": "Aquatic invertebrat... | {
"connections": [
1,
0,
1,
1
],
"grouping": [
1,
1,
1,
1
]
} |
61fb | 11 | 19 | [
"Magdalene",
"Pointer",
"House",
"Zodiac",
"Munsterlander",
"Gone Girl",
"Seven",
"Ascendant",
"Fight Club",
"Conjunction",
"Scissor",
"Ugly",
"Brittany",
"Italian spinone",
"Square",
"Panic Room"
] | [
"David Fincher films",
"Astrological terms",
"Sisters",
"Gun dogs"
] | {
"group_1": {
"group_id": "61fb_01",
"gt_connection": "David Fincher films",
"gt_words": [
"Gone Girl",
"Fight Club",
"Zodiac",
"Panic Room"
],
"human_performance": {
"connection": 0,
"grouping": 1
}
},
"group_2": {
"group_id": "61fb_02",
"gt_co... | {
"connections": [
0,
1,
1,
1
],
"grouping": [
1,
1,
0,
0
]
} |
a79a | 11 | 24 | [
"Thinker",
"Bomb",
"Smile",
"Gates of Hell",
"Martyr",
"PerkStreet",
"Ally",
"Sad",
"Walking Man",
"Tiddlies",
"Wink",
"First Direct",
"Cahoot",
"Squidger",
"Kiss",
"Blush"
] | [
"Emoticons",
"Rodin sculptures",
"Tiddlywinks terminology",
"Internet banks"
] | {
"group_1": {
"group_id": "a79a_01",
"gt_connection": "Emoticons",
"gt_words": [
"Sad",
"Kiss",
"Blush",
"Smile"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "a79a_02",
"gt_connection": "Rodin sculptures... | {
"connections": [
1,
1,
1,
1
],
"grouping": [
1,
1,
1,
1
]
} |
d85d | 12 | 3 | [
"Octopus",
"Jennings",
"False",
"Hudson",
"San Quentin",
"Carson",
"Junta",
"Bantry",
"Guantanamo",
"Janitor",
"Marion",
"Lurch",
"Attica",
"Ha Long",
"Decree",
"Rikers"
] | [
"Words with abbreviated month at start",
"Fictional butlers",
"Noted bays",
"US prisons"
] | {
"group_1": {
"group_id": "d85d_01",
"gt_connection": "Words with abbreviated month at start",
"gt_words": [
"Decree",
"Junta",
"Janitor",
"Octopus"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "d85d_02",
... | {
"connections": [
1,
0,
1,
1
],
"grouping": [
1,
0,
0,
0
]
} |
3716 | 12 | 17 | [
"Daddy",
"Umbriel",
"Tulips",
"Flounder",
"Calibiri",
"Sebastian",
"Oberon",
"Titania",
"Ariel",
"Miranda",
"Scuttle",
"Prince Eric",
"Lady Lazarus",
"Impact",
"Cambria",
"Tahoma"
] | [
"Characters from The Little Mermaid",
"Works of Sylvia Plath",
"Typefaces",
"Moons of Uranus"
] | {
"group_1": {
"group_id": "3716_01",
"gt_connection": "Characters from The Little Mermaid",
"gt_words": [
"Sebastian",
"Prince Eric",
"Flounder",
"Scuttle"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "3716_... | {
"connections": [
1,
1,
1,
0
],
"grouping": [
1,
1,
1,
1
]
} |
6ab2 | 12 | 26 | [
"Dill",
"Riser",
"Angelica",
"Nosing",
"Tread",
"Christabel",
"Emmeline",
"Annie",
"Parsley",
"Cicely",
"Carrot",
"Errand",
"Emily",
"Cap",
"Gold",
"Paradise"
] | [
"Campaigners for womens suffrage",
"Members of the parsley family",
"Fools ___",
"Parts of a staircase"
] | {
"group_1": {
"group_id": "6ab2_01",
"gt_connection": "Campaigners for womens suffrage",
"gt_words": [
"Christabel",
"Emmeline",
"Emily",
"Annie"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "6ab2_02",
"... | {
"connections": [
1,
0,
1,
0
],
"grouping": [
1,
1,
1,
1
]
} |
c7ba | 12 | 26 | [
"Warwick",
"Flashing",
"Eaves",
"Liverpool South",
"Vickers-Armstrongs",
"Shorts",
"Hawker Siddeley",
"Howard",
"Bristol",
"Gable",
"Leigh",
"Dormer",
"Didcot",
"de Havilland",
"East Midlands",
"Rutherford"
] | [
"Roofing terminology",
"Gone with the Wind cast",
"UK aviation companies",
"Parkway stations"
] | {
"group_1": {
"group_id": "c7ba_01",
"gt_connection": "Roofing terminology",
"gt_words": [
"Flashing",
"Dormer",
"Gable",
"Eaves"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "c7ba_02",
"gt_connection": ... | {
"connections": [
1,
1,
1,
1
],
"grouping": [
1,
1,
1,
1
]
} |
0739 | 12 | 30 | [
"Michelangelos David",
"Grecian Urn",
"The Machine",
"Waybuloo",
"The Rocks",
"Paddington",
"Noggin the Nog",
"The Magic Roundabout",
"Psyche",
"Melancholy",
"Nightingale",
"Engie Benjy",
"The Flumps",
"Woolloomooloo",
"Bondi Beach",
"Autumn"
] | [
"Odes by Keats",
"Florence",
"Childrens TV programmes",
"Places in Sydney"
] | {
"group_1": {
"group_id": "0739_01",
"gt_connection": "Odes by Keats",
"gt_words": [
"Autumn",
"Melancholy",
"Grecian Urn",
"Psyche"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "0739_02",
"gt_connection... | {
"connections": [
1,
1,
1,
1
],
"grouping": [
1,
1,
1,
1
]
} |
bc12 | 12 | 31 | [
"Merkava",
"Chase",
"Tiger",
"Praetor",
"Frink",
"Trail",
"Legate",
"Van Helsing",
"Challenger",
"Langdon",
"Aedile",
"Money",
"Consul",
"Centurion",
"Clip",
"Abrams"
] | [
"Roman imperial officials",
"Paper___",
"Military tanks",
"Fictional professors"
] | {
"group_1": {
"group_id": "bc12_01",
"gt_connection": "Roman imperial officials",
"gt_words": [
"Praetor",
"Consul",
"Aedile",
"Legate"
],
"human_performance": {
"connection": 0,
"grouping": 1
}
},
"group_2": {
"group_id": "bc12_02",
"gt_connect... | {
"connections": [
0,
1,
0,
1
],
"grouping": [
1,
1,
0,
0
]
} |
04ef | 12 | 35 | [
"Castle",
"Flowers",
"Dace",
"Stalk",
"Leaf",
"Oven",
"Hoki",
"Volva",
"Auction",
"Courage",
"Cap",
"Umbo",
"Bass",
"Dab",
"Fugu",
"Vaux"
] | [
"Fishes",
"Parts of a mushroom",
"Dutch ___",
"British breweries"
] | {
"group_1": {
"group_id": "04ef_01",
"gt_connection": "Fishes",
"gt_words": [
"Fugu",
"Dace",
"Hoki",
"Dab"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "04ef_02",
"gt_connection": "Parts of a mushroom",... | {
"connections": [
1,
0,
1,
1
],
"grouping": [
1,
0,
0,
0
]
} |
155a | 13 | 1 | [
"Cover",
"Exit poll",
"Note",
"Inside Man",
"Alternate",
"Swing",
"Standby",
"Ricochet",
"Cleavage",
"Charge",
"Ballot",
"DΓ©jΓ Vu",
"Flight",
"Heart",
"Malcolm X",
"Hustings"
] | [
"Denzel Washington films",
"Understudies",
"Take ___",
"Election terminology"
] | {
"group_1": {
"group_id": "155a_01",
"gt_connection": "Denzel Washington films",
"gt_words": [
"Ricochet",
"DΓ©jΓ Vu",
"Malcolm X",
"Inside Man"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "155a_02",
"gt... | {
"connections": [
1,
0,
0,
1
],
"grouping": [
1,
0,
0,
0
]
} |
13f6 | 13 | 9 | [
"Grinder",
"Zoosk",
"Match",
"Hepworth",
"Mate",
"Slip",
"Granny",
"Bach",
"Coxswain",
"Gordian",
"Windsor",
"Stevedore",
"Lookout",
"Badoo",
"Castle",
"Tinder"
] | [
"Barbaras",
"Dating apps",
"Marine occupations",
"Knots"
] | {
"group_1": {
"group_id": "13f6_01",
"gt_connection": "Barbaras",
"gt_words": [
"Windsor",
"Castle",
"Hepworth",
"Bach"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "13f6_02",
"gt_connection": "Dating ap... | {
"connections": [
1,
1,
1,
1
],
"grouping": [
1,
1,
1,
1
]
} |
7a2a | 13 | 18 | [
"Allen Carr",
"Albino",
"Lal Toofan",
"Eleanor",
"Palaver",
"Gum",
"Kingfisher",
"Willpower",
"Marmalade",
"Bangla",
"Patches",
"Cobra",
"Fetish",
"Madonna",
"Vindaloo",
"Hypnosis"
] | [
"\"Indian\" beers",
"From Portuguese",
"\"Lady ___\" songs",
"Smoking cessation"
] | {
"group_1": {
"group_id": "7a2a_01",
"gt_connection": "\"Indian\" beers",
"gt_words": [
"Bangla",
"Lal Toofan",
"Cobra",
"Kingfisher"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "7a2a_02",
"gt_connectio... | {
"connections": [
1,
0,
1,
1
],
"grouping": [
1,
1,
1,
1
]
} |
6f00 | 13 | 18 | [
"Razor",
"Sward",
"Prairie",
"Mini",
"Hobble",
"Oy",
"Gang",
"Dirndl",
"Sheffield United",
"Campo",
"Savannah",
"Young",
"Veldt",
"Pencil",
"Grass",
"Helicopter"
] | [
"Areas of grassland",
"Blades",
"___ster",
"Skirts"
] | {
"group_1": {
"group_id": "6f00_01",
"gt_connection": "Areas of grassland",
"gt_words": [
"Sward",
"Campo",
"Savannah",
"Veldt"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "6f00_02",
"gt_connection": "B... | {
"connections": [
1,
1,
1,
1
],
"grouping": [
1,
1,
1,
1
]
} |
90b6 | 13 | 25 | [
"MI6 Chief",
"Fly",
"State",
"Place",
"Cuba",
"Field",
"Hundred",
"Power",
"Department",
"Hoist",
"Wall",
"Work",
"Carbon",
"Riding",
"12",
"Canton"
] | [
"Subnational divisions",
"Parts of a flag",
"Fire___",
"C"
] | {
"group_1": {
"group_id": "90b6_01",
"gt_connection": "Subnational divisions",
"gt_words": [
"State",
"Department",
"Hundred",
"Riding"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "90b6_02",
"gt_connect... | {
"connections": [
1,
1,
0,
1
],
"grouping": [
1,
1,
1,
1
]
} |
8618 | 13 | 27 | [
"Copping",
"Snell",
"Gambo",
"Parky",
"Huhn",
"Dinner",
"Deadly",
"Rimy",
"Crisp",
"Frango",
"Kip",
"Pollo",
"Poulet",
"Biting",
"Grimmy",
"Diddy"
] | [
"Multilingual chicken",
"Double letter to single gives a new word",
"Nicknames of BBC Radio presenters",
"Cold conditions"
] | {
"group_1": {
"group_id": "8618_01",
"gt_connection": "Multilingual chicken",
"gt_words": [
"Huhn",
"Kip",
"Poulet",
"Frango"
],
"human_performance": {
"connection": 1,
"grouping": 0
}
},
"group_2": {
"group_id": "8618_02",
"gt_connection": "Dou... | {
"connections": [
1,
1,
1,
1
],
"grouping": [
0,
0,
0,
0
]
} |
9eea | 13 | 37 | [
"Escalus",
"Sprucy",
"Romeo",
"Tango",
"Sampson",
"Cricket",
"Lima",
"Golf",
"Royce",
"Martin",
"Polo",
"Juliet",
"Potpan",
"Rugby",
"Rabies",
"Davidson"
] | [
"Anagrams of countries",
"Ball games",
"Half a motor manufacturers",
"Characters from Romeo and Juliet"
] | {
"group_1": {
"group_id": "9eea_01",
"gt_connection": "Anagrams of countries",
"gt_words": [
"Sprucy",
"Tango",
"Lima",
"Rabies"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "9eea_02",
"gt_connection": "... | {
"connections": [
1,
1,
1,
0
],
"grouping": [
1,
0,
0,
0
]
} |
5edf | 14 | 3 | [
"Bird",
"Changeling",
"Cure",
"Riser",
"Wanted",
"Can",
"Police",
"Pickle",
"Band",
"Salt",
"Clash",
"Hackers",
"Retirement",
"Doors",
"Freeze",
"Adopter"
] | [
"Early ___",
"Angelina Jolie films",
"Food preservation techniques",
"Bands called \"The ___\""
] | {
"group_1": {
"group_id": "5edf_01",
"gt_connection": "Early ___",
"gt_words": [
"Retirement",
"Adopter",
"Bird",
"Riser"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "5edf_02",
"gt_connection": "Angelin... | {
"connections": [
1,
1,
1,
1
],
"grouping": [
1,
1,
1,
1
]
} |
3169 | 14 | 11 | [
"dAbernon",
"Fairfax",
"Bouncing",
"Stink",
"Denis",
"Dirty",
"Newington",
"Officer Crabtree",
"Call Me",
"Mandeville",
"Maria",
"Atomic",
"Pipe",
"Edith",
"Dreaming",
"Fanny"
] | [
"Blondie singles",
"___ bomb",
"Stoke ___ places",
"Characters in Allo Allo"
] | {
"group_1": {
"group_id": "3169_01",
"gt_connection": "Blondie singles",
"gt_words": [
"Denis",
"Call Me",
"Dreaming",
"Atomic"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "3169_02",
"gt_connection": "_... | {
"connections": [
1,
1,
1,
1
],
"grouping": [
1,
1,
0,
0
]
} |
0fac | 14 | 11 | [
"Present and correct",
"Flagstaff",
"Surprise",
"Phoenix",
"Square",
"Scottsdale",
"Tucson",
"Hallows",
"Rescue",
"Birthday",
"Prince",
"Saints",
"Stone",
"Labour",
"Fire",
"Coach"
] | [
"Last words of Harry Potter book titles",
"Types of party",
"All __",
"Arizona cities"
] | {
"group_1": {
"group_id": "0fac_01",
"gt_connection": "Last words of Harry Potter book titles",
"gt_words": [
"Prince",
"Fire",
"Stone",
"Phoenix"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "0fac_02",
... | {
"connections": [
1,
1,
1,
1
],
"grouping": [
1,
1,
1,
1
]
} |
0aea | 14 | 13 | [
"Marnier",
"CuraΓ§ao",
"Highlander",
"Marnie",
"Prix",
"Slam",
"Hadid",
"Piano",
"Aruba",
"Ban",
"Goldfinger",
"The Rock",
"Saba",
"Cayman",
"Bonaire",
"Cuba"
] | [
"Famous architects",
"Grand ___",
"Sean Connery films",
"Dutch Caribbean islands"
] | {
"group_1": {
"group_id": "0aea_01",
"gt_connection": "Famous architects",
"gt_words": [
"Ban",
"Piano",
"Hadid",
"Goldfinger"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "0aea_02",
"gt_connection": "Gr... | {
"connections": [
1,
1,
1,
1
],
"grouping": [
1,
1,
1,
1
]
} |
e681 | 14 | 22 | [
"Tsonga",
"Roti",
"Rod",
"Pakora",
"Poppadom",
"Shadow",
"Pouille",
"Scuba",
"Thiem",
"Bhaji",
"Finger",
"Sock",
"Cilic",
"Osman",
"Samosa",
"String"
] | [
"Indian food",
"Male tennis players",
"Countries with an extra \"s\"",
"Types of puppet"
] | {
"group_1": {
"group_id": "e681_01",
"gt_connection": "Indian food",
"gt_words": [
"Bhaji",
"Pakora",
"Roti",
"Poppadom"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "e681_02",
"gt_connection": "Male ten... | {
"connections": [
1,
1,
1,
1
],
"grouping": [
1,
1,
1,
1
]
} |
d6d1 | 14 | 24 | [
"Hike",
"Stand",
"Pew",
"Man on the Moon",
"Duminy",
"Ginetta",
"Drive",
"Lotus",
"Caterham",
"McManus",
"Morgan",
"Break",
"Cooper",
"The Great Beyond",
"Bow",
"McLaren"
] | [
"REM singles",
"People known as JP",
"Take a ___",
"British sports car brands"
] | {
"group_1": {
"group_id": "d6d1_01",
"gt_connection": "REM singles",
"gt_words": [
"Drive",
"The Great Beyond",
"Stand",
"Man on the Moon"
],
"human_performance": {
"connection": 0,
"grouping": 0
}
},
"group_2": {
"group_id": "d6d1_02",
"gt_conn... | {
"connections": [
0,
0,
0,
0
],
"grouping": [
0,
0,
0,
0
]
} |
46aa | 15 | 1 | [
"Rush Hour",
"Cheat",
"The Fat",
"Rubber",
"House Party",
"Peking",
"Vacation",
"Procter",
"Philander",
"Milkshake",
"Confessions",
"Pollock",
"Two-time",
"Carry on",
"Play away",
"Donald"
] | [
"Be unfaithful",
"Comedy film series",
"____ Duck",
"South African fast bowlers"
] | {
"group_1": {
"group_id": "46aa_01",
"gt_connection": "Be unfaithful",
"gt_words": [
"Cheat",
"Carry on",
"Play away",
"Two-time"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "46aa_02",
"gt_connection": ... | {
"connections": [
1,
0,
1,
0
],
"grouping": [
1,
1,
1,
1
]
} |
bf32 | 15 | 1 | [
"Mamet",
"Simon",
"Hare",
"OmbrΓ©",
"Lean",
"Jasmine",
"Balayage",
"Croft",
"Streak",
"Velvet",
"Barrel",
"Shoot",
"Dip",
"Dash",
"Highlight",
"Thunder"
] | [
"Blue ____ films",
"Screenwriters named David",
"Hair colouring techniques",
"Synonyms for rush"
] | {
"group_1": {
"group_id": "bf32_01",
"gt_connection": "Blue ____ films",
"gt_words": [
"Streak",
"Velvet",
"Thunder",
"Jasmine"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "bf32_02",
"gt_connection": "S... | {
"connections": [
1,
1,
0,
0
],
"grouping": [
1,
1,
0,
0
]
} |
8ec1 | 15 | 3 | [
"Hose",
"Ida",
"Battery",
"Penzance",
"Jury",
"Smock",
"Guard",
"Platoon",
"Escape",
"Pinafore",
"Cohort",
"Gown",
"Frock",
"Corps",
"Brigade",
"Chemise"
] | [
"Dresses",
"Military units",
"Fire ___",
"Final words of Gilbert and Sullivan titles"
] | {
"group_1": {
"group_id": "8ec1_01",
"gt_connection": "Dresses",
"gt_words": [
"Smock",
"Gown",
"Chemise",
"Frock"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "8ec1_02",
"gt_connection": "Military units... | {
"connections": [
1,
1,
1,
1
],
"grouping": [
1,
1,
1,
1
]
} |
8513 | 15 | 4 | [
"Zoe",
"Second",
"Caddy",
"Party",
"Tree",
"Teenage Fanclub",
"Soigneur",
"Orange Juice",
"Ballboy",
"Model X",
"Dance",
"Travis",
"Ioniq",
"Leaf",
"e-up!",
"Runner"
] | [
"Electric cars",
"Scottish music acts",
"Sporting assistants",
"Tea ___"
] | {
"group_1": {
"group_id": "8513_01",
"gt_connection": "Electric cars",
"gt_words": [
"Zoe",
"e-up!",
"Ioniq",
"Model X"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "8513_02",
"gt_connection": "Scottish ... | {
"connections": [
1,
1,
1,
1
],
"grouping": [
1,
1,
1,
1
]
} |
c870 | 15 | 11 | [
"Ruins",
"Beckett",
"Spoils",
"Lindt",
"Art",
"Dogs",
"Reese",
"Ghirardelli",
"Mars",
"God",
"Fry",
"Sullies",
"Thornton",
"McFly",
"Hershey",
"Masters"
] | [
"Synonyms for damages",
"___ of War",
"Chocolatiers",
"Time travellers"
] | {
"group_1": {
"group_id": "c870_01",
"gt_connection": "Synonyms for damages",
"gt_words": [
"Mars",
"Ruins",
"Sullies",
"Spoils"
],
"human_performance": {
"connection": 1,
"grouping": 1
}
},
"group_2": {
"group_id": "c870_02",
"gt_connection": "... | {
"connections": [
1,
1,
1,
0
],
"grouping": [
1,
1,
1,
1
]
} |
9d02 | 15 | 22 | [
"Doppler",
"Alienation",
"Music Box",
"Domino",
"Truss",
"Placebo",
"Butterfly",
"Fillet",
"Boomerang",
"Charmbracelet",
"Thiem",
"Debone",
"Emotions",
"Wurst",
"E=MC2",
"Waltz"
] | [
"Meat preparation methods",
"Famous Austrians",
"___ effect",
"Mariah Carey albums"
] | {
"group_1": {
"group_id": "9d02_01",
"gt_connection": "Meat preparation methods",
"gt_words": [
"Fillet",
"Truss",
"Debone",
"Butterfly"
],
"human_performance": {
"connection": 0,
"grouping": 0
}
},
"group_2": {
"group_id": "9d02_02",
"gt_connec... | {
"connections": [
0,
0,
0,
0
],
"grouping": [
0,
0,
0,
0
]
} |
Only Connect Wall (OCW) Dataset
The Only Connect Wall (OCW) dataset contains 618 "Connecting Walls" from the Round 3: Connecting Wall segment of the Only Connect quiz show, collected from 15 seasons' worth of episodes. Each wall contains the ground-truth groups and connections as well as recorded human performance. Please see our paper and GitHub repo for more details about the dataset and its motivations.
Usage
# pip install datasets
from datasets import load_dataset
dataset = load_dataset("TaatiTeam/OCW")
# The dataset can be used like any other HuggingFace dataset
# E.g. get the wall_id of the first example in the train set
dataset["train"]["wall_id"][0]
# or get the words of the first 10 examples in the test set
dataset["test"]["words"][0:10]
We also provide two different versions of the dataset where the red herrings in each wall have been significantly reduced (ocw_randomized) or removed altogether (ocw_wordnet) which can be loaded like:
# pip install datasets
from datasets import load_dataset
ocw_randomized = load_dataset("TaatiTeam/OCW", "ocw_randomized")
ocw_wordnet = load_dataset("TaatiTeam/OCW", "ocw_wordnet")
See our paper for more details.
π Citing
If you use the Only Connect dataset in your work, please consider citing our paper:
@article{alavi2024large,
title={Large Language Models are Fixated by Red Herrings: Exploring Creative Problem Solving and Einstellung Effect using the Only Connect Wall Dataset},
author={Alavi Naeini, Saeid and Saqur, Raeid and Saeidi, Mozhgan and Giorgi, John and Taati, Babak},
journal={Advances in Neural Information Processing Systems},
volume={36},
year={2024}
}
π Acknowledgements
We would like the thank the maintainers and contributors of the fan-made and run website https://ocdb.cc/ for providing the data for this dataset. We would also like to thank the creators of the Only Connect quiz show for producing such an entertaining and thought-provoking show.
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