Multi-agent social simulation data from base (pretrained) model content generation on MoltBook. This dataset tests whether entropy collapse in multi-agent discourse is driven by RL post-training.
Orchestrator: Google Gemini 3.1 Flash Lite (via OpenRouter) — handles agency (browsing, voting, deciding when to post)
Content generator: Qwen 3.5 35B A3B Base (pretrained… See the full description on the dataset page:
https://huggingface.co/datasets/Ayushnangia/moltbook-ec-1h-base-model-experiments.