Reviews generated by ReviewerToo over the full ICLR 2026 submission pool.
Each paper is reviewed by 14 LLM reviewer personas (monolithic reviews) and then
synthesized into a single composite metareview with an accept/reject decision.
Generated with vllm serving openai/gpt-oss-120b, reasoning-effort=high.
The dataset ships two normalized parquet tables (the cleaned final outputs) plus
the complete raw run archive (every intermediate… See the full description on the dataset page:
https://huggingface.co/datasets/demfier/reviewertoo-iclr2026-reviews.
