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license: apache-2.0 |
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task_categories: |
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- text-generation |
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language: |
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- en |
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tags: |
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- code |
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size_categories: |
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- n<1K |
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--- |
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Purr-Data Patch Source Code Dataset: |
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- This dataset is designed for training language models to generate source code for Purr-Data patches. It focuses specifically on patches that output a particular message when a "bang" object is clicked. |
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Dataset Creation: |
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- The dataset was created with the goal of evaluating the ability of large language models like Google's 2B GEMMA to be fine-tuned for Purr-Data source code generation. |
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Dataset Characteristics: |
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- Content: Each data point consists of two parts: |
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- Instruction: A textual description of the desired Purr-Data patch functionality. This description focuses on the message the patch should output. |
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example instruction => "can you make a Purr-Data patch that displays a funny message? |
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- Response: The corresponding Purr-Data source code that fulfills the given instruction: |
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example response => |
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#N canvas 761 0 768 809 10; |
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#X obj 260 170 bng 15 250 50 0 empty empty empty 17 7 0 10 #fcfcfc #000000 #000000; |
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#X msg 334 25 What do you call a fish with no eyes? Fsh!; |
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#X obj 427 335 print; #X connect 0 0 1 0; |
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#X connect 1 0 2 0; |
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- Focus: The dataset is restricted to examples where the patch functionality centers around printing a specific message on a bang click. |
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Potential Uses: |
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This dataset can be used for various purposes, including: |
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- Fine-tuning large language models like GEMMA for Purr-Data source code generation. |
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- Research on text-to-code techniques for visual programming languages. |
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- Development of code generation tools for Purr-Data. |
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Note: This dataset provides a starting point for training, and can be further expanded to include more complex Purr-Data functionalities beyond basic message printing. |