| --- |
| license: apache-2.0 |
| task_categories: |
| - text-generation |
| language: |
| - en |
| tags: |
| - code |
| size_categories: |
| - n<1K |
| --- |
| |
| Purr-Data Patch Source Code Dataset: |
| - 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: |
| - 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: |
| - Content: Each data point consists of two parts: |
|
|
| - Instruction: A textual description of the desired Purr-Data patch functionality. This description focuses on the message the patch should output. |
| example instruction => "can you make a Purr-Data patch that displays a funny message? |
| - Response: The corresponding Purr-Data source code that fulfills the given instruction: |
| example response => |
| |
| #N canvas 761 0 768 809 10; |
| #X obj 260 170 bng 15 250 50 0 empty empty empty 17 7 0 10 #fcfcfc #000000 #000000; |
| #X msg 334 25 What do you call a fish with no eyes? Fsh!; |
| #X obj 427 335 print; #X connect 0 0 1 0; |
| #X connect 1 0 2 0; |
| |
| - Focus: The dataset is restricted to examples where the patch functionality centers around printing a specific message on a bang click. |
| |
| Potential Uses: |
| 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. |
| - Research on text-to-code techniques for visual programming languages. |
| - 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. |
