reasoning-degeneration-dev/t1-ablation-facts-questions-only-t1-base-eval-hosted_vllm-qwen-qwen3-1-7b-5arg

t1-ablation-facts-questions-only-t1-base-eval-hosted_vllm-qwen-qwen3-1-7b-5arg ABLATION: Synthesized 15 domain knowledge facts from questions only (no model traces or correctness) using gpt-5-mini via RecLM. Source dataset had 100 problems. Dataset Info Rows: 15 Columns: 2 Columns Column Type Description fact_id Value('int64') Sequential fact identifier (0-indexed) fact Value('string') Synthesized fact/strategy text (from questions… See the full description on the dataset page: https://huggingface.co/datasets/reasoning-degeneration-dev/t1-ablation-facts-questions-only-t1-base-eval-hosted_vllm-qwen-qwen3-1-7b-5arg.