datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
agentic-vibecoding-traces
🧠 Agentic Vibecoding Traces
3.5 years of real agentic coding sessions across 4 CLI agents and 25+ teacher models — fully anonymized, segmented per-task, with complete tool-call trajectories (bash commands + outputs, file edits) and chain-of-thought reasoning.
The culmination dataset: every "vibe coding" session, extracted from local agent storage, scrubbed, and packaged for SFT.
[!IMPORTANT]
Gated access. Access requests are reviewed manually. Data is anonymized… See the full description on the dataset page: https://huggingface.co/datasets/saidutta69/agentic-vibecoding-traces.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.vibeapps-chat-fabric
vibeapps-chat-fabric — agentic ChatML
1329 full agentic coding trajectories. A fake user persona drives a coding agent
to build a self-contained web app, critiquing functionality + aesthetics over 3 turns.
Browse the live apps: https://huggingface.co/spaces/AlexWortega/vibeapps-chat-fabric
coder/assistant: minimax/minimax-m3 (pi agent) - user-sim: qwen/qwen3.7-max
personas: dotoshny (nitpicky), mamochka (non-techie mom), startuper - 443 ideas x 3 personas x 3 turns… See the full description on the dataset page: https://huggingface.co/datasets/AlexWortega/vibeapps-chat-fabric.