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