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Datasets:
ANTPG
/
annotated-isabelle

Tasks:
Text Generation
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json
Languages:
English
Size:
1K - 10K
ArXiv:
Tags:
Isabelle
theorem-proving
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pandas
Polars
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@@ -12,6 +12,8 @@ size_categories:
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  ---
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  Extensively annotated Isabelle source code, suitable for pretraining, about 500M tokens in Qwen3's tokenizer.
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  Example:
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  ```isabelle
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  lemma (in group) diff_neutralizes: ✐‹contributor ‹Paulo Emílio de Vilhena››
@@ -48,8 +50,6 @@ Minilang's pipeline is used to transform composite tactics to minimal units and
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  Each statement has a 30% probability of being annotated with types, and a further 40% probability of being annotated with the sorts of the type variables.
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- Cases from the PISA benchmark are removed.
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-
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  Please cite me!
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  ```
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  @misc{xu2025minimalistprooflanguageneural,
 
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  ---
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  Extensively annotated Isabelle source code, suitable for pretraining, about 500M tokens in Qwen3's tokenizer.
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+ Data source: Isabelle/HOL + AFP 2025-02-12. Cases from the PISA benchmark are removed.
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+
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  Example:
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  ```isabelle
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  lemma (in group) diff_neutralizes: ✐‹contributor ‹Paulo Emílio de Vilhena››
 
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  Each statement has a 30% probability of being annotated with types, and a further 40% probability of being annotated with the sorts of the type variables.
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  Please cite me!
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  ```
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  @misc{xu2025minimalistprooflanguageneural,