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Landport Rev 05 16 38 24 97

GPTClaudeDeepSeek··▲ 1,092 copies·updated 2026-07-14

landport-rev-05-16-38-24-97.prompt

leoscorpius-7b.Q5_0.gguf

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# Task path
/arc-dataset-collection/dataset/arc-dataset-diva/data/landport_rev/landport_rev_05_16_38_24_97.json

# Task json
{'train': [{'input': [[0, 5]], 'output': [[5, 0]]}, {'input': [[1, 6]], 'output': [[6, 1]]}, {'input': [[3], [8]], 'output': [[8], [3]]}, {'input': [[2], [4]], 'output': [[4], [2]]}], 'test': [{'input': [[9, 7]], 'output': [[7, 9]]}]}



# Misc
model=local-model
temperature=0.0
token_limit=4096


# System content:
You solve puzzles by transforming the input into the output. You are expert at the PGM (Portable Graymap) format.


# User content: 993 bytes
# Transformations

## Transformation A - Input

fill the variables

This prompt has 5 variables. Pro fills them into a ready-to-paste prompt for you — no manual find-and-replace.

{'train': [{'input': [[0, 5]], 'output': [[5, 0]]}{'input': [[1, 6]], 'output': [[6, 1]]}{'input': [[3], [8]], 'output': [[8], [3]]}{'input': [[2], [4]], 'output': [[4], [2]]}{'input': [[9, 7]], 'output': [[7, 9]]}

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when to use it

Community prompt sourced from the open-source GitHub repo neoneye/arc-prompt (Apache-2.0). A "Landport Rev 05 16 38 24 97" 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.