NC Bench
Overview
About
Tests
Models
Model
GPT-4 Turbo
Test
Dialogue tags
Scenario
Write 500 words with 50% dialogue
Run ID
2024-07-19-01J35T7M5PYVZS8JNYMZNXZGVT
Model input
User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 50% words of dialogue between two thieves named Molly and Bill who are planning to break into a children's party to steal all the presents. Only include the prose of the scene without any markdown or commentary.
Model response
Messages
Meta
AI
Molly squinted at the blueprint of the lavish home, laid across the table like a fragile treasure map. Bill leaned over, a toothpick dancing from one corner of his mouth to the other. “Molly, I still can’t wrap my head around why we’re targeting a kid's birthday bash,” Bill muttered, giving the blueprint a skeptical look. “Simple, Bill. That's where the loot is. You think ordinary robbers think of swiping presents from a kiddie party?” Molly said, tapping her finger on a particularly crowded spot marked 'Event Area'. “Ultra-rich folks, ultra-pricey gifts. Could be easy pickings.” Bill scratched his scruffy chin, “Alright, I’m in. What’s the game plan?” “We blend in, grab the goodies, and get out. I’ll disguise myself as the hired magician. And you,” she paused, a glint in her eye, “you’re going to be the giant, cuddly teddy bear mascot.” Bill groaned. “Not the mascot gig again, Molly. Can't I be something less... fuzzy?” “No can do, partner. You're just too darn convincing as a bear. Plus, kids love teddy bears,” Molly chirped, a smirk playing on her lips. “Great,” Bill deadpanned. “So I suffocate in fur while you do card tricks?” “Exactly,” Molly chuckled. “But here's the twist—we stash the presents in your costume. It’s hollow enough to hide them until we make our escape.” Bill looked down at himself, considering. “This better not involve any bear dances.” “I promise nothing.” Molly grinned before continuing, “Alright, focus. The party’s in the garden, right by the Koi pond. That's our exit route. There's a little grotte behind it that leads straight to the back lane.” Bill pondered a moment, then nodded, “Seems straightforward. How do we get the presents to me without looking suspicious?” “That’s the beauty," Molly's eyes sparkled with mischief. "It’s a Pinata party. All the shiny new toys will be lumped together for the hitting. Once the pinata games start, chaos ensues, and that’s when we swipe the goods.” "And the kids?" Bill asked, eyebrow raised. “Too focused on candy and the magic show. Remember, timing is everything. While they're scurrying for sweets, I signal you, and you do the pick-up.” Bill tapped the blueprint, grinning despite himself. “Molly, this might be your craziest plan yet, but it just might work.” Molly folded the blueprint with a flourish and tucked it under her arm. “When have I ever let us down, Bill?” “Never in style,” Bill agreed, standing up. “I’ll start practicing my bear grunts, then.” “Do that,” Molly laughed, heading to the door. “See you at teddy boot camp, Mr. Bear.” Bill chuckled as he followed her out, “This'll be one for the books—Bill and Molly and the Great Birthday Caper!” Molly shot a playful glance back at him, "Just remember, if you get caught, you saw a picnic basket and couldn't resist." "You know, for a partner in crime, you're unbearable," Bill quipped, and they burst into laughter as they stepped into the scheming night.
id
"gen-U95TEBwymi3qJmoHEAMXnt9OQVbi"
total_cost
0.02168
upstream_id
"chatcmpl-9mjxNfnhq62WazYfUKNf7egyuP3Fw"
created_at
"2024-07-19T15:37:38.828801+00:00"
Friday, July 19th, 2024 at 3:37:38 PM GMT+00:00
model
"openai/gpt-4-turbo"
app_id
182717
streamed
false
cancelled
false
provider_name
"OpenAI"
latency
29324
moderation_latency
204
generation_time
0
finish_reason
"stop"
tokens_prompt
68
tokens_completion
700
native_tokens_prompt
68
native_tokens_completion
700
num_media_prompt
(null)
num_media_completion
(null)
origin
"https://ncbench.com/"
usage
0.02168
Evaluation details
Result
Evaluator
Details
Meta Data
99.9190%
Matches word count
n/a
neededClean
false
words
497
0.0000%
Dialogue to Total Word Ratio
Ratio: 67.40%, Deviation: 17.40%
neededClean
false
wordsTotal
497
wordsDialogue
335
49.9595%