C8f0f002 3
datasource file: /Users/neoneye/git/simon_arc_lab/run_tasks_result/20241222_033847_task_to_prompt_o3_format/task_to_prompt.jsonl datasource row: 763 groupname: arcagi dataset_id: ARC-AGI task_id: c8f0f002 test_index: 0 max_prompt_length: 2000 max_response_length: 1000 LLM: {"system_prompt": null, "pydantic_program_mode": "default", "base_url": "http://localhost:11434", "model": "llama3.1:latest", "temperature": 0.0, "context_window": 3900, "request_timeout": 120.0, "prompt_key": "prompt", "json_mode": false, "additional_kwargs": {}, "is_function_calling_model": true, "keep_alive": null, "class_name": "Ollama_llm"} SYSTEM PROMPT: Be brief and clear in your responses --- PROMPT: Find the common rule that maps an input grid to an output grid, given the examples below. Example 1: Input: 1 8 8 7 7 8 1 1 7 7 1 8 7 1 1 7 7 8 Output: 1 8 8 5 5 8 1 1 5 5 1 8 5 1 1 5 5 8 Example 2: Input: 7 7 7 1 1 8 1 7 7 1 1 7 Output: 5 5 5 1 1 8 1 5 5 1 1 5 Example 3: Input: 1 8 1 7 1 7 8 8 1 1 7 1 8 8 7 Output: 1 8 1 5 1 5 8 8 1 1 5 1 8 8 5 Below is a test input grid. Predict the corresponding output grid by applying the rule you found. Your final answer should just be the text output grid itself. Input: 1 7 7 1 7 8 1 7 7 7 8 7 1 7 8 --- RESPONSE: The common rule is to replace each "7" with a "5". Output: 1 5 5 1 5 8 1 5 5 5 8 5 1 5 8 --- response byte count: 89 response item count: 47 elapsed: 1.54 seconds expected output: [[1, 5, 5, 1, 5], [8, 1, 5, 5, 5], [8, 5, 1, 5, 8]] predicted output: [[1, 5, 5, 1, 5], [8, 1, 5, 5, 5], [8, 5, 1, 5, 8]] status: correct
when to use it
Community prompt sourced from the open-source GitHub repo neoneye/arc-prompt (Apache-2.0). A "C8f0f002 3" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.
tags
productivitycommunitydeveloper
source
neoneye/arc-prompt · Apache-2.0
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