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{
"answers": [
{
"group": "GEOLOGICAL MATERIALS",
"level": 0,
"members": [
"QUARTZ",
"MICA",
"SAND",
"GRANITE"
]
},
{
"group": "SPORTS",
"level": 1,
"members": [
"BASKETBALL",
"SWIMMING",
"TENNIS",
"CRICKET"
]
},
{
"group": "MEAL COURSES",
"level": 2,
"members": [
"DESSERT",
"APPETIZER",
"ENTREE",
"SNACK"
]
},
{
"group": "CULTURAL DISHES",
"level": 3,
"members": [
"CEVICHE",
"SUSHI",
"TACO",
"BURGER"
]
}
],
"custom_id": "train_1",
"reasoning_length": 3500
}
|
[
{
"content": "Solve this Connections puzzle by finding 4 groups of 4 related words:\nWords: QUARTZ, MICA, SAND, GRANITE, BASKETBALL, SWIMMING, TENNIS, CRICKET, DESSERT, APPETIZER, ENTREE, SNACK, CEVICHE, SUSHI, TACO, BURGER",
"role": "user"
},
{
"content": "Alright, let's break down this Connections puzzle step by step. The words are: QUARTZ, MICA, SAND, GRANITE, BASKETBALL, SWIMMING, TENNIS, CRICKET, DESSERT, APPETIZER, ENTREE, SNACK, CEVICHE, SUSHI, TACO, BURGER.\n\nFirst, I'll start with the geological terms. QUARTZ, MICA, SAND, and GRANITE all relate to minerals and rocks. These are foundational materials in geology. So, that's our first group: GEOLOGICAL MATERIALS.\n\nNext, looking at the sports terms, BASKETBALL, SWIMMING, TENNIS, and CRICKET relate to different types of sports. So, that’s our second group: SPORTS.\n\nNow, let’s look at the food terms. DESSERT, APPETIZER, ENTREE, and SNACK all fit into categories of food served at meals. So, that’s our third group: MEAL COURSES.\n\nLastly, CEVICHE, SUSHI, TACO, and BURGER are all types of food that are popular in various cultures and can denote casual dining. So, our last group is: CULTURAL DISHES.\n\nTo summarize:\n1. GEOLOGICAL MATERIALS: QUARTZ, MICA, SAND, GRANITE\n2. SPORTS: BASKETBALL, SWIMMING, TENNIS, CRICKET\n3. MEAL COURSES: DESSERT, APPETIZER, ENTREE, SNACK\n4. CULTURAL DISHES: CEVICHE, SUSHI, TACO, BURGER",
"role": "assistant"
}
] |
{
"answers": [
{
"group": "NATURAL DISASTERS",
"level": 0,
"members": [
"VOLCANO",
"TORNADO",
"HURRICANE",
"EARTHQUAKE"
]
},
{
"group": "MUSICAL INSTRUMENTS",
"level": 1,
"members": [
"PIANO",
"VIOLIN",
"DRUM",
"FLUTE"
]
},
{
"group": "CULINARY PROFESSIONS",
"level": 2,
"members": [
"CHEF",
"WAITER",
"BAKER",
"SOMMELIER"
]
},
{
"group": "TRAVEL ACTIVITIES",
"level": 3,
"members": [
"TRAVEL",
"ADVENTURE",
"RELAXATION",
"EXPLORATION"
]
}
],
"custom_id": "train_2",
"reasoning_length": 3600
}
|
[
{
"content": "Solve this Connections puzzle by finding 4 groups of 4 related words:\nWords: VOLCANO, TORNADO, HURRICANE, EARTHQUAKE, PIANO, VIOLIN, DRUM, FLUTE, CHEF, WAITER, BAKER, SOMMELIER, TRAVEL, ADVENTURE, RELAXATION, EXPLORATION",
"role": "user"
},
{
"content": "Let's analyze this Connections puzzle. The words are: VOLCANO, TORNADO, HURRICANE, EARTHQUAKE, PIANO, VIOLIN, DRUM, FLUTE, CHEF, WAITER, BAKER, SOMMELIER, TRAVEL, ADVENTURE, RELAXATION, EXPLORATION.\n\nFirst, I'll group the natural disasters: VOLCANO, TORNADO, HURRICANE, EARTHQUAKE. These are all catastrophic natural phenomena. So, that's our first group: NATURAL DISASTERS.\n\nNext, the musical instruments: PIANO, VIOLIN, DRUM, FLUTE. These instruments are commonly used in various music genres. So, that’s our second group: MUSICAL INSTRUMENTS.\n\nNow, looking at the food service professions: CHEF, WAITER, BAKER, SOMMELIER. These are all roles found in the culinary industry. So, that’s the third group: CULINARY PROFESSIONS.\n\nFinally, the travel-related terms: TRAVEL, ADVENTURE, RELAXATION, EXPLORATION. These all pertain to leisure activities associated with travel. So, our last group is: TRAVEL ACTIVITIES.\n\nTo summarize:\n1. NATURAL DISASTERS: VOLCANO, TORNADO, HURRICANE, EARTHQUAKE\n2. MUSICAL INSTRUMENTS: PIANO, VIOLIN, DRUM, FLUTE\n3. CULINARY PROFESSIONS: CHEF, WAITER, BAKER, SOMMELIER\n4. TRAVEL ACTIVITIES: TRAVEL, ADVENTURE, RELAXATION, EXPLORATION",
"role": "assistant"
}
] |
{
"answers": [
{
"group": "ASTRONOMICAL TERMS",
"level": 0,
"members": [
"GALAXY",
"PLANET",
"STAR",
"COMET"
]
},
{
"group": "FORMS OF ART",
"level": 1,
"members": [
"DANCE",
"SING",
"PAINT",
"SCULPT"
]
},
{
"group": "TRANSPORTATION MODES",
"level": 2,
"members": [
"BICYCLE",
"SKATEBOARD",
"SCOOTER",
"ROLLERBLADES"
]
},
{
"group": "FRUITS",
"level": 3,
"members": [
"STRAWBERRY",
"BANANA",
"APPLE",
"GRAPE"
]
}
],
"custom_id": "train_3",
"reasoning_length": 3400
}
|
[
{
"content": "Solve this Connections puzzle by finding 4 groups of 4 related words:\nWords: GALAXY, PLANET, STAR, COMET, DANCE, SING, PAINT, SCULPT, BICYCLE, SKATEBOARD, SCOOTER, ROLLERBLADES, STRAWBERRY, BANANA, APPLE, GRAPE",
"role": "user"
},
{
"content": "Let’s solve this Connections puzzle. The words are: GALAXY, PLANET, STAR, COMET, DANCE, SING, PAINT, SCULPT, BICYCLE, SKATEBOARD, SCOOTER, ROLLERBLADES, STRAWBERRY, BANANA, APPLE, GRAPE.\n\nFirst, I’ll identify the astronomical terms: GALAXY, PLANET, STAR, COMET. These all relate to outer space. So, that’s our first group: ASTRONOMICAL TERMS.\n\nNext, looking at the forms of artistic expression: DANCE, SING, PAINT, SCULPT. These are all different forms of art. So, that’s our second group: FORMS OF ART.\n\nNow, let’s look at modes of transportation: BICYCLE, SKATEBOARD, SCOOTER, ROLLERBLADES. These are all ways to get around. So, that’s the third group: TRANSPORTATION MODES.\n\nLastly, for fruits: STRAWBERRY, BANANA, APPLE, GRAPE. These all belong to the category of fruits. So, our last group is: FRUITS.\n\nTo summarize:\n1. ASTRONOMICAL TERMS: GALAXY, PLANET, STAR, COMET\n2. FORMS OF ART: DANCE, SING, PAINT, SCULPT\n3. TRANSPORTATION MODES: BICYCLE, SKATEBOARD, SCOOTER, ROLLERBLADES\n4. FRUITS: STRAWBERRY, BANANA, APPLE, GRAPE",
"role": "assistant"
}
] |
{
"answers": [
{
"group": "TIMES OF DAY",
"level": 0,
"members": [
"HORIZON",
"SUNSET",
"NIGHT",
"DAWN"
]
},
{
"group": "FRUITS",
"level": 1,
"members": [
"APPLE",
"ORANGE",
"GRAPEFRUIT",
"LEMON"
]
},
{
"group": "SPORTS",
"level": 2,
"members": [
"MARTIAL ARTS",
"BASKETBALL",
"SOCCER",
"TENNIS"
]
},
{
"group": "WATERCRAFT",
"level": 3,
"members": [
"SAILBOAT",
"YACHT",
"KAYAK",
"CANOE"
]
}
],
"custom_id": "train_4",
"reasoning_length": 3300
}
|
[
{
"content": "Solve this Connections puzzle by finding 4 groups of 4 related words:\nWords: HORIZON, SUNSET, NIGHT, DAWN, APPLE, ORANGE, GRAPEFRUIT, LEMON, MARTIAL ARTS, BASKETBALL, SOCCER, TENNIS, SAILBOAT, YACHT, KAYAK, CANOE",
"role": "user"
},
{
"content": "Let's solve this Connections puzzle. The words are: HORIZON, SUNSET, NIGHT, DAWN, APPLE, ORANGE, GRAPEFRUIT, LEMON, MARTIAL ARTS, BASKETBALL, SOCCER, TENNIS, SAILBOAT, YACHT, KAYAK, CANOE.\n\nFirst, I’ll identify the times of day: HORIZON, SUNSET, NIGHT, DAWN. These all relate to different periods in a day. So, that’s our first group: TIMES OF DAY.\n\nNext, looking at the fruits: APPLE, ORANGE, GRAPEFRUIT, LEMON. These are all citrus and non-citrus fruits. So, that’s our second group: FRUITS.\n\nNow, let’s look at the sports: MARTIAL ARTS, BASKETBALL, SOCCER, TENNIS. These are all forms of physical activities or sports. So, that’s the third group: SPORTS.\n\nLastly, for watercraft: SAILBOAT, YACHT, KAYAK, CANOE. These are all types of boats used for recreational activities. So, our last group is: WATERCRAFT.\n\nTo summarize:\n1. TIMES OF DAY: HORIZON, SUNSET, NIGHT, DAWN\n2. FRUITS: APPLE, ORANGE, GRAPEFRUIT, LEMON\n3. SPORTS: MARTIAL ARTS, BASKETBALL, SOCCER, TENNIS\n4. WATERCRAFT: SAILBOAT, YACHT, KAYAK, CANOE",
"role": "assistant"
}
] |
{
"answers": [
{
"group": "DAIRY PRODUCTS",
"level": 0,
"members": [
"HONEY",
"MILK",
"CHEESE",
"YOGURT"
]
},
{
"group": "VEGETABLES",
"level": 1,
"members": [
"SPINACH",
"BROCCOLI",
"CARROT",
"LETTUCE"
]
},
{
"group": "PHYSICAL ACTIVITIES",
"level": 2,
"members": [
"HIKING",
"RUNNING",
"SWIMMING",
"CYCLING"
]
},
{
"group": "LITERARY FORMS",
"level": 3,
"members": [
"NOVEL",
"POEM",
"ESSAY",
"SHORT STORY"
]
}
],
"custom_id": "train_5",
"reasoning_length": 3700
}
|
[
{
"content": "Solve this Connections puzzle by finding 4 groups of 4 related words:\nWords: HONEY, MILK, CHEESE, YOGURT, SPINACH, BROCCOLI, CARROT, LETTUCE, HIKING, RUNNING, SWIMMING, CYCLING, NOVEL, POEM, ESSAY, SHORT STORY",
"role": "user"
},
{
"content": "Let's analyze this Connections puzzle. The words are: HONEY, MILK, CHEESE, YOGURT, SPINACH, BROCCOLI, CARROT, LETTUCE, HIKING, RUNNING, SWIMMING, CYCLING, NOVEL, POEM, ESSAY, SHORT STORY.\n\nFirst, I’ll group the dairy products: HONEY, MILK, CHEESE, YOGURT. These are all dairy or dairy-related foods. So, that’s our first group: DAIRY PRODUCTS.\n\nNext, looking at the vegetables: SPINACH, BROCCOLI, CARROT, LETTUCE. These are all common vegetables. So, that’s our second group: VEGETABLES.\n\nNow, let’s look at physical activities: HIKING, RUNNING, SWIMMING, CYCLING. These are all forms of exercise. So, that’s the third group: PHYSICAL ACTIVITIES.\n\nLastly, for literary forms: NOVEL, POEM, ESSAY, SHORT STORY. These are all types of written works. So, our last group is: LITERARY FORMS.\n\nTo summarize:\n1. DAIRY PRODUCTS: HONEY, MILK, CHEESE, YOGURT\n2. VEGETABLES: SPINACH, BROCCOLI, CARROT, LETTUCE\n3. PHYSICAL ACTIVITIES: HIKING, RUNNING, SWIMMING, CYCLING\n4. LITERARY FORMS: NOVEL, POEM, ESSAY, SHORT STORY",
"role": "assistant"
}
] |
nyt-connections-cot-enhanced
Dataset Description
The Enhanced Connections Puzzle Dataset is designed to facilitate the development and evaluation of models in the realm of word association and reasoning tasks. This dataset features a collection of puzzles where users are tasked with identifying four groups of related words from a given list. Each entry consists of detailed reasoning that outlines the thought process behind the grouping, making it a valuable resource for researchers and developers. Key improvements include increased diversity in themes and vocabulary combinations, optimized reasoning processes for clarity and efficiency, and the introduction of puzzles with varying difficulty levels to enhance challenge and engagement. This dataset provides a clear JSON structure that includes comprehensive messages and metadata, making it easy to analyze and utilize in machine learning applications. This dataset only contains sample data. For more data please visit https://www.mobiusi.com/?refer=huggingface or contact us at [email protected].
Usage
from datasets import load_dataset
dataset = load_dataset("Mobiusi/nyt-connections-cot-enhanced")
Created: 2025-10-20 12:37:48
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