Datasetpublic

kondasviktor/vcl-vibebench

VCL VibeBench Stop trusting benchmark slides. Run it yourself. Practical AI model prompts from Vibe Coder's Life. This dataset mirrors the open-source GitHub suites. It is not a blended intelligence leaderboard. There is no LLM judge. 9/12 on Score means nine JavaScript helpers compiled and passed hidden unit tests — not “75% smart.” Configs Config What it is Rows fun Fun 1.0 — short copy-paste prompts 10 dev Dev 1.1 — coding / debugging prompts 10… See the full description on the dataset page: https://huggingface.co/datasets/kondasviktor/vcl-vibebench.

sourceHugging Facecc-by-4.0updated 29d agoView on Hugging Face

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VCL VibeBench

Stop trusting benchmark slides. Run it yourself.

Practical AI model prompts from Vibe Coder's Life.

This dataset mirrors the open-source GitHub suites. It is not a blended intelligence leaderboard. There is no LLM judge. 9/12 on Score means nine JavaScript helpers compiled and passed hidden unit tests — not “75% smart.”

Configs

Config	What it is	Rows
`fun`	Fun 1.0 — short copy-paste prompts	10
`dev`	Dev 1.1 — coding / debugging prompts	10
`score`	Score 1.2 — write one named JS function	12
`results`	Slim maintainer run summaries (pass/fail counts)	varies

python

from datasets import load_dataset

fun = load_dataset("kondasviktor/vcl-vibebench", "fun")
dev = load_dataset("kondasviktor/vcl-vibebench", "dev")
score = load_dataset("kondasviktor/vcl-vibebench", "score")
results = load_dataset("kondasviktor/vcl-vibebench", "results")

Hidden tests stay on GitHub

Score prompts are here. Hidden unit tests live in the GitHub harness. Fork and run:

bash

git clone https://github.com/kondasviktor/vcl-ai-model-arena.git
cd vcl-ai-model-arena
cp .env.example .env   # OPENROUTER_API_KEY
npm ci
MODELS=google/gemini-3.6-flash npm run eval:score:smoke

VCL VibeBench

Configs

Hidden tests stay on GitHub

Links