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normative-reasoning
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reasoning-degeneration-dev /
t1-ablation-facts-normative-t1-base-eval-hosted_vllm-qwen-qwen3-1-7b-5arg
t1-ablation-facts-normative-t1-base-eval-hosted_vllm-qwen-qwen3-1-7b-5arg ABLATION (normative): Synthesized 15 normative reasoning rules from traces using gpt-5-mini via RecLM. Source eval accuracy: 0/800 (0.0%). Dataset Info Rows: 15 Columns: 2 Columns Column Type Description fact_id Value('int64') Sequential fact identifier (0-indexed) fact Value('string') Normative reasoning rule synthesized from traces Generation Parameters {… See the full description on the dataset page: https://huggingface.co/datasets/reasoning-degeneration-dev/t1-ablation-facts-normative-t1-base-eval-hosted_vllm-qwen-qwen3-1-7b-5arg.
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7mo ago
Hugging Face