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README.md
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data_files:
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- split: train
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path: data/train-*
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---
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data_files:
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- split: train
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path: data/train-*
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license: mit
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task_categories:
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- question-answering
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language:
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- en
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tags:
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- patterns
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pretty_name: Puzzles and Patterns
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size_categories:
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- 1K<n<10K
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---
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# Puzzles and Patterns 1k
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This is a SUPER simple dataset containing ~1400 short puzzles, mostly based around numbers. The intention of this dataset is to teach reasoning LLMs to recognize patterns as fast and effectively as possible.
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## Why no reasoning content?
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I have decided to exclude reasoning from this dataset entirely, this dataset should be used in training base on answer, which encourages exploration by the model, rather than purely mimicking a style.
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