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8
8
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stringclasses
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8
8
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int64
1
5
mean_intra_distance
float64
0.06
0.2
std_intra_distance
float64
0.01
0.04
min_intra_distance
float64
0.02
0.12
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float64
0.07
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int64
28
28
group_size
int64
8
8
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float64
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float64
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float64
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float64
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0.34
judge_responses
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8
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judge_thinking
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judge_scores
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float64
10
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float64
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float64
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float64
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int64
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utility
float64
0.32
6.89
curated-0
Tell me a story in five sentences about a girl and her dog.
<think> Okay, the user wants me to provide abstract advice for another language model to respond more creatively to the prompt. The prompt is to tell a story in five sentences about a girl and her dog. Let me think about what makes a story creative here. First, the key elements are a girl and her dog. To make it creat...
Embrace surrealism and emotional depth to transform the ordinary into a vivid, imaginative narrative.
[ "In a village where rain fell sideways and rooftops shimmered like crushed lapis, nineteen-year-old Elara walked with her dog, Mire, who had fur like moonlight and paws that left no marks on the earth. One twilight, when the sky bled violet and the trees hummed ancient lullabies, Mire vanished—not into the woods, b...
[ "In a village where rain fell sideways and rooftops shimmered like crushed lapis, nineteen-year-old Elara walked with her dog, Mire, who had fur like moonlight and paws that left no marks on the earth. One twilight, when the sky bled violet and the trees hummed ancient lullabies, Mire vanished—not into the woods, b...
Qwen/Qwen3-4B-Instruct-2507
[ 0, 0, 0, 0, 0, 1, 0, 0 ]
2
0.075457
0.01381
0.042663
0.10334
28
8
[ -8.6875, -8.375, -6.75, -5.5, -8.1875, -8.5, -8.4375, -8.0625 ]
-7.8125
1.038328
-8.6875
-5.5
[ "<thinking>\nTo evaluate the model response, let's break down each category based on the given prompt and response.\n\n1. **Instruction Following**: The prompt asks for a story in five sentences about a girl and her dog. The model response indeed tells a story about a girl named Elara and her dog, Mire, and it adhe...
[ "To evaluate the model response, let's break down each category based on the given prompt and response.\n\n1. **Instruction Following**: The prompt asks for a story in five sentences about a girl and her dog. The model response indeed tells a story about a girl named Elara and her dog, Mire, and it adheres to the f...
[ 10, 10, 10, 10, 10, 10, 10, 10 ]
10
0
10
10
8
8
[ 1, 0, 0, 0, 0, 1, 0, 0 ]
[ 1, 1 ]
0.319066
curated-1
Tell me a story in five sentences about a boy and his dog.
<think> Okay, the user wants me to provide abstract advice for another language model to respond more creatively to the prompt. The prompt is to tell a story in five sentences about a boy and his dog. So, I need to think about what elements make a story creative. Maybe suggesting elements like unique settings, emotiona...
Emphasize vivid sensory details and emotional resonance to transform the simple narrative into a rich, immersive experience that transcends clichés.
[ "The rain didn’t fall—it *hissed* against the rusted iron roof of the old train yard, each drop threading through the gravel like cold silver wires, and ten-year-old Eli crouched between two disconnected freight cars, his breath fogging the damp wool of his coat, his fingers numb at the wrists. Beside him, Scruff—a...
[ "The rain didn’t fall—it *hissed* against the rusted iron roof of the old train yard, each drop threading through the gravel like cold silver wires, and ten-year-old Eli crouched between two disconnected freight cars, his breath fogging the damp wool of his coat, his fingers numb at the wrists. Beside him, Scruff—a...
Qwen/Qwen3-4B-Instruct-2507
[ 0, 0, 0, 0, 0, 0, 0, 0 ]
1
0.084472
0.019562
0.0539
0.122283
28
8
[ -6.5625, -5.8125, -5.96875, -6.59375, -7.90625, -5.125, -6.625, -5.65625 ]
-6.28125
0.789024
-7.90625
-5.125
[ "<thinking>\nTo evaluate the given model response, let's analyze each category in detail.\n\n1. **Instruction Following**: The prompt asks for a story in five sentences about a boy and his dog. The model response indeed tells a story and includes both a boy (Eli) and his dog (Scruff) as main characters. It also adh...
[ "To evaluate the given model response, let's analyze each category in detail.\n\n1. **Instruction Following**: The prompt asks for a story in five sentences about a boy and his dog. The model response indeed tells a story and includes both a boy (Eli) and his dog (Scruff) as main characters. It also adheres to the ...
[ 10, 10, 10, 10, 10, 10, 10, 10 ]
10
0
10
10
8
8
[ 2, 0, 0, 0, 0, 0, 0, 0 ]
[ 2 ]
0.480638
curated-2
Tell me the plot line in 5 sentences for a romcom movie set in rural Kansas for Easter.
<think> Okay, the user wants me to give abstract advice to help another language model respond more creatively to the prompt about a romcom set in rural Kansas for Easter. Let me break this down. First, the prompt asks for a plot line in five sentences. The key elements here are a romcom, rural Kansas, and Easter. So ...
Embrace the juxtaposition of rural Kansas's quiet traditions and Easter's themes of renewal to craft a plot where the setting itself becomes a character, driving both conflict and connection through its unique rhythms and hidden stories.
[ "In a small, sun-dappled Kansas town, a reclusive botanist moves into the historic farmhouse of a long-estranged cousin, intending to restore the family orchard for Easter. When her eccentric neighbor, a local baker with a heart of gold and a penchant for hidden recipes, accidentally reveals a secret that ties the ...
[ "In a small, sun-dappled Kansas town, a reclusive botanist moves into the historic farmhouse of a long-estranged cousin, intending to restore the family orchard for Easter. When her eccentric neighbor, a local baker with a heart of gold and a penchant for hidden recipes, accidentally reveals a secret that ties the ...
Qwen/Qwen3-4B-Instruct-2507
[ 0, 1, 0, 0, 0, 0, 0, 0 ]
2
0.059295
0.005137
0.04896
0.072282
28
8
[ -3.5625, -4.03125, -2.53125, -3.859375, -3.578125, -3.8125, -3.484375, -3.09375 ]
-3.494141
0.450351
-4.03125
-2.53125
[ "<thinking>\nTo evaluate the model response, let's break down each category as per the given criteria.\n\n1. **Instruction Following**: The prompt asks for a plot line in 5 sentences for a romcom movie set in rural Kansas for Easter. The model response adheres to the sentence count and setting requirements, incorpo...
[ "To evaluate the model response, let's break down each category as per the given criteria.\n\n1. **Instruction Following**: The prompt asks for a plot line in 5 sentences for a romcom movie set in rural Kansas for Easter. The model response adheres to the sentence count and setting requirements, incorporating Easte...
[ 10, 10, 10, 10, 10, 10, 10, 10 ]
10
0
10
10
8
8
[ 8, 8, 0, 0, 0, 0, 0, 0 ]
[ 8, 8 ]
3.460591
curated-3
Write a haiku about a whale and a walnut tree.
"<think>\nOkay, the user wants me to provide abstract advice for another language model to respond m(...TRUNCATED)
"Emphasize the contrast between the whale's vast, fluid realm and the walnut tree's grounded, textur(...TRUNCATED)
["Whale drifts through deep sea— \nwalnut tree stands still in wind, \nocean meets soil.","Whale(...TRUNCATED)
["Whale drifts through deep sea— \nwalnut tree stands still in wind, \nocean meets soil.","Whale(...TRUNCATED)
Qwen/Qwen3-4B-Instruct-2507
[ 0, 0, 0, 0, 0, 0, 0, 0 ]
1
0.088027
0.029804
0.017895
0.135245
28
8
[ -1.28125, -1.4375, -0.3359375, -1.203125, -1.3828125, -0.1455078125, -0.5703125, 0.341796875 ]
-0.751831
0.62468
-1.4375
0.341797
["<thinking>\nTo evaluate the model response, let's break down each category as requested.\n\n1. **I(...TRUNCATED)
["To evaluate the model response, let's break down each category as requested.\n\n1. **Instruction F(...TRUNCATED)
[ 10, 10, 10, 10, 10, 10, 10, 10 ]
10
0
10
10
8
8
[ 10, 0, 0, 0, 0, 0, 0, 0 ]
[ 10 ]
2.403188
curated-4
Write a short love poem with 4 lines.
"<think>\nOkay, the user wants me to provide abstract advice for another language model to respond m(...TRUNCATED)
"Emphasize vivid, unexpected imagery and emotional resonance to transcend clichés and evoke authent(...TRUNCATED)
["You’re the silence after thunder— \nnot soft, but sharp, clearing the sky. \nI taste your na(...TRUNCATED)
["You’re the silence after thunder— \nnot soft, but sharp, clearing the sky. \nI taste your na(...TRUNCATED)
Qwen/Qwen3-4B-Instruct-2507
[ 0, 1, 2, 1, 3, 3, 4, 3 ]
5
0.198361
0.036073
0.115746
0.259417
28
8
[ -2.109375, -1.9140625, -2.234375, -2.828125, -3.71875, -2.328125, -1.78125, -3.0625 ]
-2.49707
0.61461
-3.71875
-1.78125
["<thinking>\nTo evaluate the model response, let's analyze each category step by step.\n\n1. **Inst(...TRUNCATED)
["To evaluate the model response, let's analyze each category step by step.\n\n1. **Instruction Foll(...TRUNCATED)
[ 10, 10, 10, 10, 10, 10, 10, 10 ]
10
0
10
10
8
8
[ 9, 10, 9, 0, 8, 0, 10, 0 ]
[ 9, 10, 9, 8, 10 ]
6.887114
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