datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
severity_ablation_logicseverity_ablation_scienceablation_nemotron_thinking_32k_with_reasoning_effort
Dataset: ablation_nemotron_thinking_32k_with_reasoning_effort
This dataset was uploaded from /mnt/yulan_pretrain/mount/data_final_train/ablation_nemotron_thinking_32k_with_reasoning_effort/stage_1/tmp/.
severity_ablation_mathablation_openmathreasoning_thinking_with_reasoning_effort
Dataset: ablation_openmathreasoning_thinking_with_reasoning_effort
This dataset was uploaded from /mnt/yulan_pretrain/mount/data_final_train/ablation_openmathreasoning_thinking_with_reasoning_effort/stage_1/tmp/.
ablation_force_doubt_logic_DeepSeek_R1_Distill_Qwen_7Bablation_force_doubt_logic_Phi_4_reasoning_plusj_ablation_force_doubt_logic_EXAONE_Deep_32Bj_ablation_force_doubt_logic_DeepSeek_R1_Distill_Qwen_1.5Bablation_force_doubt_logic_DeepSeek_R1_Distill_Qwen_1.5Bablation_force_doubt_logic_DeepSeek_R1_Distill_Qwen_14Bj_ablation_force_doubt_logic_DeepSeek_R1_Distill_Llama_8Bj_ablation_force_doubt_logic_DeepSeek_R1_Distill_Qwen_7Bj_ablation_force_doubt_logic_QwQ_32BCoRA_math_reasoning_benchmark_ablationablation_force_doubt_logic_QwQ_32Bablation_force_doubt_logic_DeepSeek_R1_Distill_Llama_8Bablation_force_doubt_logic_Llama_3.1_Nemotron_Nano_8B_v1ablation_force_doubt_logic_DeepSeek_R1_Distill_Qwen_32Bj_ablation_force_doubt_logic_DeepSeek_R1_Distill_Qwen_14Bj_ablation_force_doubt_logic_Llama_3.1_Nemotron_Nano_8B_v1j_ablation_force_doubt_logic_Phi_4_reasoning_plust1-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.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 only — no… 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.j_ablation_force_doubt_logic_DeepSeek_R1_Distill_Qwen_32Bablation_force_doubt_logic_EXAONE_Deep_32Bablation_reasoning
Dataset: ablation_reasoning
This dataset was uploaded from /mnt/yulan_pretrain/mount/data_final_train/消融reasoning/Stage1比例/tmp.
