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@@ -32,15 +32,15 @@ The model operates on a compact word-level vocabulary for permutation syntax. Tr
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  ## Training Data
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- PermuFormer was trained autoregressively on synthetic permutation examples generated with exact combinatorial algorithms. The paper describes a dataset of 39.8M instances, approximately 2.66B tokens, over the symmetric groups $S_2$ through `S_11`.
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  Training tasks cover three broad families:
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- - **Translation between encodings:** one-line notation, cycle notation, reduced Coxeter expressions, RSK tableaux, inversion vectors, and Lehmer codes.
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- - **Permutation statistics and properties:** length, descents, fixed points, sign/parity, cycle type, RSK shape, pattern avoidance, longest increasing/decreasing subsequences, and related statistics.
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- - **Algebraic operations and comparisons:** product/composition, inverse, powers, conjugation, commutator, relative products, multiplication by simple transpositions, complement, reverse, descent tests, and Bruhat order.
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- Some targets include computational witnesses before the final answer, for example inversion lists before a length answer or pattern witnesses before an avoidance answer.
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  ## Usage
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  ## Training Data
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+ PermuFormer was trained autoregressively on synthetic permutation examples generated with exact combinatorial algorithms. The paper describes a dataset of 39.8M instances, approximately 2.66B tokens, over the symmetric groups `S_2` through `S_11`.
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  Training tasks cover three broad families:
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+ - **Translation between encodings:** One-line notation, cycle notation, reduced Coxeter expressions, RSK tableaux, inversion vectors, and Lehmer codes.
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+ - **Permutation statistics and properties:** Length, descents, fixed points, sign/parity, cycle type, RSK shape, pattern avoidance, longest increasing/decreasing subsequences, and related statistics.
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+ - **Algebraic operations and comparisons:** Product/composition, inverse, powers, conjugation, commutator, relative products, multiplication by simple transpositions, complement, reverse, descent tests, and Bruhat order.
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+ Some targets include computational witnesses before the final answer, for example inversions are listed before a computation of length. Similarly pattern witnesses are stated before an avoidance answer.
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  ## Usage
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