reasoning-degeneration-dev/

t1-facts-strategies-t1-base-eval-hosted_vllm-qwen-qwen3-1-7b-5arg

Synthesized 15 improvement artifacts (rules, algorithms, programs, heuristics, etc.) from traces using gpt-5-mini via RecLM. Source eval accuracy: 0/800 (0.0%).

Rows: 15 Columns: 2

	Columns




	

Column Type Description

fact_id Value('int64') Sequential fact identifier (0-indexed)

fact Value('string') Improvement artifact synthesized from traces (rule, algorithm, program… See the full description on the dataset page: https://huggingface.co/datasets/reasoning-degeneration-dev/t1-facts-strategies-t1-base-eval-hosted_vllm-qwen-qwen3-1-7b-5arg.