Name: atreydesai/augmented-mcqa-gemini-choices-only
Creator: atreydesai
Published: 2026-04-03 18:14:52
License: 暂无描述

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--- dataset_info: - config_name: vllm_Qwen_Qwen3-4B-Instruct-2507 features: - name: id dtype: string - name: question_id dtype: int64 - name: dataset_type dtype: string - name: row_index dtype: int64 - name: sample_id dtype: string - name: question dtype: string - name: answer dtype: string - name: category dtype: string - name: options list: string - name: answer_index dtype: int64 - name: choices_human list: string - name: setting dtype: string - name: generation_strategy dtype: string - name: status dtype: string - name: num_human dtype: int64 - name: num_model dtype: int64 - name: num_choices dtype: int64 - name: human_distractors list: string - name: model_distractors list: string - name: distractors list: string - name: options_randomized list: string - name: correct_answer_letter dtype: string - name: evaluation_is_correct dtype: bool - name: evaluation_score dtype: float64 - name: evaluation_prediction dtype: string - name: evaluation_prediction_type dtype: string - name: evaluation_raw_output dtype: string - name: evaluation_prompt dtype: string - name: evaluation_status dtype: string - name: evaluation_question_idx dtype: int64 - name: evaluation_log_path dtype: string - name: traces dtype: string splits: - name: human_from_scratch num_bytes: 6167313 num_examples: 2443 - name: model_from_scratch num_bytes: 6414356 num_examples: 2443 - name: augment_human num_bytes: 9531519 num_examples: 2443 - name: augment_model num_bytes: 9995970 num_examples: 2443 - name: augment_ablation num_bytes: 9845695 num_examples: 2443 download_size: 27908454 dataset_size: 41954853 - config_name: vllm_allenai_Olmo-3-7B-Instruct features: - name: id dtype: string - name: question_id dtype: int64 - name: dataset_type dtype: string - name: row_index dtype: int64 - name: sample_id dtype: string - name: question dtype: string - name: answer dtype: string - name: category dtype: string - name: options list: string - name: answer_index dtype: int64 - name: choices_human list: string - name: setting dtype: string - name: generation_strategy dtype: string - name: status dtype: string - name: num_human dtype: int64 - name: num_model dtype: int64 - name: num_choices dtype: int64 - name: human_distractors list: string - name: model_distractors list: string - name: distractors list: string - name: options_randomized list: string - name: correct_answer_letter dtype: string - name: evaluation_is_correct dtype: bool - name: evaluation_score dtype: float64 - name: evaluation_prediction dtype: string - name: evaluation_prediction_type dtype: string - name: evaluation_raw_output dtype: string - name: evaluation_prompt dtype: string - name: evaluation_status dtype: string - name: evaluation_question_idx dtype: int64 - name: evaluation_log_path dtype: string - name: traces dtype: string splits: - name: human_from_scratch num_bytes: 6162725 num_examples: 2443 - name: model_from_scratch num_bytes: 6409777 num_examples: 2443 - name: augment_human num_bytes: 9526583 num_examples: 2443 - name: augment_model num_bytes: 9991203 num_examples: 2443 - name: augment_ablation num_bytes: 9840880 num_examples: 2443 download_size: 27910356 dataset_size: 41931168 - config_name: vllm_meta-llama_Llama-3.1-8B-Instruct features: - name: id dtype: string - name: question_id dtype: int64 - name: dataset_type dtype: string - name: row_index dtype: int64 - name: sample_id dtype: string - name: question dtype: string - name: answer dtype: string - name: category dtype: string - name: options list: string - name: answer_index dtype: int64 - name: choices_human list: string - name: setting dtype: string - name: generation_strategy dtype: string - name: status dtype: string - name: num_human dtype: int64 - name: num_model dtype: int64 - name: num_choices dtype: int64 - name: human_distractors list: string - name: model_distractors list: string - name: distractors list: string - name: options_randomized list: string - name: correct_answer_letter dtype: string - name: evaluation_is_correct dtype: bool - name: evaluation_score dtype: float64 - name: evaluation_prediction dtype: string - name: evaluation_prediction_type dtype: string - name: evaluation_raw_output dtype: string - name: evaluation_prompt dtype: string - name: evaluation_status dtype: string - name: evaluation_question_idx dtype: int64 - name: evaluation_log_path dtype: string - name: traces dtype: string splits: - name: human_from_scratch num_bytes: 6179473 num_examples: 2443 - name: model_from_scratch num_bytes: 6426501 num_examples: 2443 - name: augment_human num_bytes: 9543729 num_examples: 2443 - name: augment_model num_bytes: 10008175 num_examples: 2443 - name: augment_ablation num_bytes: 9857890 num_examples: 2443 download_size: 27908402 dataset_size: 42015768 - config_name: vllm_nvidia_NVIDIA-Nemotron-Nano-9B-v2 features: - name: id dtype: string - name: question_id dtype: int64 - name: dataset_type dtype: string - name: row_index dtype: int64 - name: sample_id dtype: string - name: question dtype: string - name: answer dtype: string - name: category dtype: string - name: options list: string - name: answer_index dtype: int64 - name: choices_human list: string - name: setting dtype: string - name: generation_strategy dtype: string - name: status dtype: string - name: num_human dtype: int64 - name: num_model dtype: int64 - name: num_choices dtype: int64 - name: human_distractors list: string - name: model_distractors list: string - name: distractors list: string - name: options_randomized list: string - name: correct_answer_letter dtype: string - name: evaluation_is_correct dtype: bool - name: evaluation_score dtype: float64 - name: evaluation_prediction dtype: string - name: evaluation_prediction_type dtype: string - name: evaluation_raw_output dtype: string - name: evaluation_prompt dtype: string - name: evaluation_status dtype: string - name: evaluation_question_idx dtype: int64 - name: evaluation_log_path dtype: string - name: traces dtype: string splits: - name: human_from_scratch num_bytes: 6187374 num_examples: 2443 - name: model_from_scratch num_bytes: 6433433 num_examples: 2443 - name: augment_human num_bytes: 9549986 num_examples: 2443 - name: augment_model num_bytes: 10014460 num_examples: 2443 - name: augment_ablation num_bytes: 9864522 num_examples: 2443 download_size: 27915656 dataset_size: 42049775 configs: - config_name: vllm_Qwen_Qwen3-4B-Instruct-2507 data_files: - split: human_from_scratch path: vllm_Qwen_Qwen3-4B-Instruct-2507/human_from_scratch-* - split: model_from_scratch path: vllm_Qwen_Qwen3-4B-Instruct-2507/model_from_scratch-* - split: augment_ablation path: vllm_Qwen_Qwen3-4B-Instruct-2507/augment_ablation-* - split: augment_human path: vllm_Qwen_Qwen3-4B-Instruct-2507/augment_human-* - split: augment_model path: vllm_Qwen_Qwen3-4B-Instruct-2507/augment_model-* - config_name: vllm_allenai_Olmo-3-7B-Instruct data_files: - split: human_from_scratch path: vllm_allenai_Olmo-3-7B-Instruct/human_from_scratch-* - split: model_from_scratch path: vllm_allenai_Olmo-3-7B-Instruct/model_from_scratch-* - split: augment_ablation path: vllm_allenai_Olmo-3-7B-Instruct/augment_ablation-* - split: augment_human path: vllm_allenai_Olmo-3-7B-Instruct/augment_human-* - split: augment_model path: vllm_allenai_Olmo-3-7B-Instruct/augment_model-* - config_name: vllm_meta-llama_Llama-3.1-8B-Instruct data_files: - split: human_from_scratch path: vllm_meta-llama_Llama-3.1-8B-Instruct/human_from_scratch-* - split: model_from_scratch path: vllm_meta-llama_Llama-3.1-8B-Instruct/model_from_scratch-* - split: augment_ablation path: vllm_meta-llama_Llama-3.1-8B-Instruct/augment_ablation-* - split: augment_human path: vllm_meta-llama_Llama-3.1-8B-Instruct/augment_human-* - split: augment_model path: vllm_meta-llama_Llama-3.1-8B-Instruct/augment_model-* - config_name: vllm_nvidia_NVIDIA-Nemotron-Nano-9B-v2 data_files: - split: human_from_scratch path: vllm_nvidia_NVIDIA-Nemotron-Nano-9B-v2/human_from_scratch-* - split: model_from_scratch path: vllm_nvidia_NVIDIA-Nemotron-Nano-9B-v2/model_from_scratch-* - split: augment_ablation path: vllm_nvidia_NVIDIA-Nemotron-Nano-9B-v2/augment_ablation-* - split: augment_human path: vllm_nvidia_NVIDIA-Nemotron-Nano-9B-v2/augment_human-* - split: augment_model path: vllm_nvidia_NVIDIA-Nemotron-Nano-9B-v2/augment_model-* ---

应用场景：