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--- |
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license: cdla-permissive-2.0 |
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task_categories: |
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- text-generation |
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- text2text-generation |
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- other |
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tags: |
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- code |
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- fstar |
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- popai |
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pretty_name: PoPAI-FStarDataSet-V2 |
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size_categories: |
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- 10K<n<100K |
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language: |
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- code |
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- fst |
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--- |
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This dataset is the Version 2.0 of [`microsoft/FStarDataSet`](https://huggingface.co/datasets/microsoft/FStarDataSet). |
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## Data Source |
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In addition to the eight projects in `microsoft/FStarDataSet`, data from four more projects are included in this version. |
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1. [Starmad](https://github.com/microsoft/Armada): a framework for doing proofs by stepwise refinement for concurrent programs in a weak memory model. Starmada is an experimental version of Armada implemented in F⋆, relying on various advanced features of F⋆’s dependent type system for more generic and abstract proofs. |
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2. [Zeta](https://github.com/project-everest/zeta): a high performance, concurrent monitor for stateful services proven correct in F⋆ and its Steel concurrent separation logic |
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3. [Dice-star](https://github.com/verified-HRoT/dice-star): a verified implementation of the DICE measured boot protocol for embedded devices |
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4. [Noise-star](https://github.com/Inria-Prosecco/noise-star): a verified compiler for implementations of Noise protocols, a family of key-exchange protocols |
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## Primary-Objective |
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## Data Format |
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Each of the examples in this dataset are organized as dictionaries with the following schema |
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```json |
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{ |
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"file_name": <str: Name of the file>, |
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"name": <str: name of the example, can be used to uniquely identify the example>, |
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"original_source_type": <str: actual source type, to be used for type checking>, |
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"source_type": <str: modified source type, to be used to formulate prompt>, |
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"source_definition": <str: target definition>, |
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"source": <dict: contains metadata acout the source of this example, including project_name, git url, git sha, etc.>, |
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"source_range": <dict: metadata containing start and end lines and columns of this definition in the source file>, |
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"file_context": <str: extracted file context upto the point of current definition>, |
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"dependencies": <dict: build dependencies for this file>, |
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"opens_and_abbrevs": <list[dict]: List of opened modules and abbreviated modules in the file, necessry for evaluating.>, |
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"vconfig": <dict: variour buils configuration for this definition>, |
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"interleaved": <bool: whether this definition is interleaved with another>, |
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"verbose_type": <str: the verbose type of this definition as resolved by the type checker>, |
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"effect": <str: effect>, |
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"effect_flags": <list[str]: any effect flags>, |
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"mutual_with": <list: if this definition is mutually recursive with other, list of those names>, |
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"ideal_premises": <list[str]: Other definitions that are used in the ground truth definition>, |
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"proof_features": <list[str]>, |
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"is_simple_lemma": <bool/null>, |
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"is_div": <bool: if this definition is divergent>, |
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"is_proof": <bool>, |
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"is_simply_typed": <bool>, |
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"is_type": <bool/null>, |
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"partial_definition": <str>, |
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"completed_definiton": <str>, |
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"isa_cross_project_example": <bool: if this example belongs to cross-project evaluation set> |
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} |
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``` |
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# Usage |
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## Input |
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## Output |
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# Evaluation on this dataset |
