NC Bench
Overview
About
Tests
Models
Model
Qwen 2 7B
Test
Dialogue tags
Scenario
Write 200 words with 90% dialogue
Run ID
2024-07-19-01J35SQ9JGQ6CYPQQQG8YGJZK0
Model input
User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 90% 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
"Dang, Bill," Molly said, shaking her head at the massive stack of wrapped presents towering in the corner of the children's reception hall. "We're really in for a educational challenge breaking into this one." "I know," Bill replied. "But remember, the perks of this job. Free presents, no background checks." "Well, you certainly scored on the free presents part. I'm just hoping we have the know-how to pull this off without raising any alarm bells." "Relax, Molly," Bill said, placing a comforting hand on her shoulder. "We've trained for worse. This is just the backyard variety. You're the planner, I'm the collector, we'll pull out just what we can, then be in and out before anyone notices." Molly raised an eyebrow. "So much for stealth," she grumbled. "Everyone seems to be in the room - in full party mode. No way we'll be sneaking unnoticed." "We need a diversion," Bill said, his eyes scanning the room. "Someone has to draw the attention." "And that someone," Molly said, narrowing her eyes at Bill with mock anger, "won't be me. I can barely blow out five candles on a birthday cake." "Haven't you been paying attention in your spy movies? Little kids love balloons, Molly. We just need a noisy distraction and you stick around for the aftermath of 'hot air' to really do its job," Bill explained, chuckling. "As if," Molly said, smiling a little. "You know everyone will appreciate how I've protected the stuff they've opened. That should generate enough moral outrage." "Just stay cool and charismatic. I won't have on of these adorable, confused faces that all parents adore," Bill said with a cheeky grin. "Suit yourself," Molly said, rolling her eyes. "But don't be surprised if kids swarm around you when the presents aren't safe. I bet they'll be so upset they'll beg you to come back and save the day." "You're mean," Bill teased. "Remember, novice thief, teamwork makes the dream work." "I guess," Molly said, "We'd better at least explain how we're doing it. Even if these kids are smarter than they look, that's the whole point." "Sounds fair." Bill said. "I'll set the stage then you come in and distract these poor darlings while I make my getaway. "Well," Molly said with a grin, "That's you in charge of creating the fleet of presents. You might as well make them lasting memories with them." "Yeah, yeah, Molly," Bill said, already circling the room, looking for the best moment to begin the performance. "You just sit back and nab some loot." "Let's get this ridiculous heist done and dusted," Molly said, stepping into the crowd. "Looking forward to seeing the aftermath." "You will be," Bill said, mischief swirling in his eyes as he aligned himself for his performance. "Heists are all about the aftermath." As the two collaborators carried out their plan, Molly flirted with the audience, Bill orchestrated chaos with balloons and laughs, and together, they navigated their way through the festivities, claiming their charitable spoils one wrapped box at a time.
id
"gen-lX9iyrmUrQYCsnm3l1c0mMBER4YD"
total_cost
0.0001125
upstream_id
"cmpl-55ce0a5e9caa4b0ba01653935e1cf9ec"
created_at
"2024-07-19T15:28:22.374796+00:00"
Friday, July 19th, 2024 at 3:28:22 PM GMT+00:00
model
"qwen/qwen-2-7b-instruct"
app_id
182717
streamed
false
cancelled
false
provider_name
"OctoAI"
latency
8187
moderation_latency
(null)
generation_time
0
finish_reason
"stop"
tokens_prompt
77
tokens_completion
667
native_tokens_prompt
83
native_tokens_completion
667
num_media_prompt
(null)
num_media_completion
(null)
origin
"https://ncbench.com/"
usage
0.0001125
Evaluation details
Result
Evaluator
Details
Meta Data
0.0000%
Matches word count
n/a
neededClean
false
words
507
3.0482%
Dialogue to Total Word Ratio
Ratio: 76.33%, Deviation: 13.67%
neededClean
false
wordsTotal
507
wordsDialogue
387
1.5241%