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erdem-erdem/maze_training_v1-9_tiny

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Hugging Face2025-12-11 更新2025-12-20 收录
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https://hf-mirror.com/datasets/erdem-erdem/maze_training_v1-9_tiny
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--- dataset_info: features: - name: messages list: - name: content dtype: string - name: role dtype: string - name: maze_id dtype: int64 - name: grid_size dtype: int64 - name: step dtype: int64 - name: total_steps dtype: int64 splits: - name: full_solution num_bytes: 591672 num_examples: 1000 - name: multiturn_with_marks num_bytes: 4363876 num_examples: 1000 - name: multiturn_past_moves num_bytes: 4646592 num_examples: 1000 - name: multiturn_both num_bytes: 4705592 num_examples: 1000 - name: multiturn_clean num_bytes: 4304876 num_examples: 1000 - name: singleturn_with_marks num_bytes: 9379084 num_examples: 14816 - name: singleturn_past_moves num_bytes: 8847656 num_examples: 14816 - name: singleturn_both num_bytes: 9721800 num_examples: 14816 - name: singleturn_clean num_bytes: 8504940 num_examples: 14816 download_size: 5500268 dataset_size: 55066088 configs: - config_name: default data_files: - split: full_solution path: data/full_solution-* - split: multiturn_with_marks path: data/multiturn_with_marks-* - split: multiturn_past_moves path: data/multiturn_past_moves-* - split: multiturn_both path: data/multiturn_both-* - split: multiturn_clean path: data/multiturn_clean-* - split: singleturn_with_marks path: data/singleturn_with_marks-* - split: singleturn_past_moves path: data/singleturn_past_moves-* - split: singleturn_both path: data/singleturn_both-* - split: singleturn_clean path: data/singleturn_clean-* ---

This dataset contains maze-related dialogue data. Each record comprises a message list (including content and role fields), maze ID, grid size, current step count, and total step count. The dataset is categorized into multiple split types, including complete solutions, multi-turn dialogues (with markers, historical movement logs, a combination of the two, or a clean version), and single-turn dialogues (with markers, historical movement logs, a combination of the two, or a clean version). It is suitable for training and evaluating maze navigation and dialogue systems.
提供机构:
erdem-erdem
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