NC Bench
Overview
About
Tests
Models
Model
Llama 3.1 70B
Test
Dialogue tags
Scenario
Write 500 words with 70% dialogue
Run ID
2024-07-23-01J3G82CCGGYXV6WAKZM3PEDGB
Model input
User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 70% 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 and Bill sat huddled in a cramped coffee shop, sipping on lukewarm coffee and pouring over a crude map of the party venue. "Okay, so the bounce house is here, and the piƱata is here," Molly said, tracing the path with her finger. "I'm guessing the presents are going to be in the main event room, maybe behind a table or something." "Sounds like a plan," Bill said, rubbing his hands together. "But how do we get past the kids? I mean, they're not exactly the most... relaxed demographic, are they?" Molly snorted. "Relaxed? They're a bunch of sugar-fueled lunatics! We'll need to be careful not to get caught up in the chaos. Maybe we can dress up as party clowns or something?" Bill raised an eyebrow. "You think that's a good idea? We're thieves, Molly. We're not exactly the clowning-around type." "I'm just saying, it's a disguise," Molly said, shrugging. "And it's not like we're going to be doing any actual juggling or anything. We just need to blend in." "Blend in? With a bunch of screaming kids and a DJ playing the 'Cha Cha Slide' on repeat? I don't think so," Bill said, chuckling. "But I like your enthusiasm. What's the plan once we get the presents?" "Well, I was thinking we could make a break for the back door, using the distraction of the cake-cutting ceremony to cover our escape," Molly said, a sly grin spreading across her face. "Cake-cutting ceremony? You're really getting into the details of this party, aren't you?" Bill teased, shaking his head. "Hey, someone's got to keep the party atmosphere alive around here," Molly said, winking at him. "Besides, it's all about the little things in a heist. You'd be surprised what you can get away with if you just pay attention to the timing." "Okay, so we've got the presents, we've got the exit strategy... what's the one thing that could go wrong?" Bill asked, a serious glint in his eye. Molly hesitated, a momentary look of alarm crossing her face. "Uh, I think it's the bounce house. What if someone gets stuck in there while we're making our escape?" Bill chuckled. "Well, that's just a minor detail. We'll just leave a few extras dollars on the side for the personal injury lawyers. That's just part of the business." Molly laughed, shaking her head. "You're a terrible person, Bill." "And you're a terrible thief," Bill retorted. "We're a match made in heaven." The two of them sat back in their chairs, a bemused smile still on their faces, as they mapped out their next move. "Okay, let's review," Molly said, her voice serious. "We've got the presents, the exit, the cake-cutting ceremony... and we'll definitely need to keep an eye on that bounce house." Bill nodded in agreement. "I'll make sure to add that to the list. 'Beware the bounce house.' Got it." As they high-fived and began to gather their belongings, the sounds of the coffee shop faded into the background, replaced by the echoes of their next, great heist.
id
"gen-GyhCBdQ5lLWAhDpi38ohj2sFbtaX"
total_cost
0.0006993
upstream_id
"00b996af-a770-4afc-af83-29bc04c8e38f"
created_at
"2024-07-23T16:51:28.396174+00:00"
Tuesday, July 23rd, 2024 at 4:51:28 PM GMT+00:00
model
"meta-llama/llama-3.1-70b-instruct"
app_id
182717
streamed
false
cancelled
false
provider_name
"Fireworks"
latency
6362
moderation_latency
(null)
generation_time
0
finish_reason
"stop"
tokens_prompt
102
tokens_completion
706
native_tokens_prompt
70
native_tokens_completion
707
num_media_prompt
(null)
num_media_completion
(null)
origin
"https://ncbench.com/"
usage
0.0006993
Evaluation details
Result
Evaluator
Details
Meta Data
43.3783%
Matches word count
n/a
neededClean
false
words
517
99.3270%
Dialogue to Total Word Ratio
Ratio: 69.63%, Deviation: 0.37%
neededClean
false
wordsTotal
517
wordsDialogue
360
71.3527%