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@@ -36,7 +36,7 @@ The raw data in this project are collected from eight open-source F* reposirotie
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  ## Primary-Objective
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  This dataset's primary objective is to train and evaluate Proof-oriented Programming with AI (PoPAI, in short). Given a specification of a program and proof is F*,
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- the objective of a AI model is to synthesize the implemantation (see [below](#Usage) for details about the usage of this dataset, including the input and output).
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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
@@ -72,6 +72,17 @@ Each of the examples in this dataset are organized as dictionaries with the foll
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  ```
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  # Usage
 
 
 
 
 
 
 
 
 
 
 
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  ## Input
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  ## Primary-Objective
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  This dataset's primary objective is to train and evaluate Proof-oriented Programming with AI (PoPAI, in short). Given a specification of a program and proof is F*,
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+ the objective of a AI model is to synthesize the implemantation (see [below](#usage) for details about the usage of this dataset, including the input and output).
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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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  ```
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  # Usage
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+ To use this dataset with [`datasets`](https://pypi.org/project/datasets/),
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+ ```py
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+ from datasets import load_dataset
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+
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+ data = load_data("microsoft/FStarDataSet")
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+ train_data = data["train"]
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+ eval_data = data["valid"]
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+ test_data = data["test"]
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+
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+ intra_project_test_data = test_data.
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+ ```
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  ## Input
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