Published March 17, 2025
| Version https://github.com/2ral/Modelizer
Dataset
Open
Revised evaluation artifact for the Modelizer framework described in "Learning Program Behavioral Models from Synthesized Input-Output Pairs"
Description
This package contains the revised evaluation artifact for Modelizer - a framework for learning models from BlackBox systems using Input-Output examples.
It consists of the following zip archives:
- train.zip: synthetic data used for the model training
- test.zip: synthetic and extracted real data used for the model evaluation
- eval.zip: evaluation results (experiment results and notebooks with the analysis of the results)
- eval_llm.zip: evaluation results for experiments with LLMs
- models.zip: all the models that were trained during the experiments
- llm_fine_tuned_models.zip: weights of fine-tuned the LLMs
- llm.zip: subset of training data for experiments with LLMs
- plots.zip: plots of the evaluation results and code to generate them
You can find the framework implementation and usage instructions at https://github.com/2ral/Modelizer
Files
eval.zip
Files
(43.3 GB)
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md5:64a22a0292161fcafd45396ec14f7dff
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287.1 MB | Preview Download |
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md5:9b2d51d14bcee1ff7599dbf334e94a52
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47.3 MB | Preview Download |
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md5:5a3db431b9fdd0c3c3bf501f90ab9b49
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94.8 MB | Preview Download |
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md5:cc2b4840f8fea1b6579269d312962c84
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16.1 GB | Preview Download |
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md5:ab5ca39daddc1b3ca021ec1cab34bcb7
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19.5 GB | Preview Download |
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md5:8c02b802b63f12652adbed22596d1bda
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22.0 MB | Preview Download |
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md5:cd83ffcc5f3c6033a2e2cda35f1549be
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127.7 MB | Preview Download |
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md5:63fde54d93f0f6c6199188ce8c44e868
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7.1 GB | Preview Download |
Additional details
Related works
- Is supplement to
- Software: 10.1145/3748720 (DOI)
Dates
- Available
-
2025-03-17
Software
- Repository URL
- https://github.com/2ral/Modelizer/
- Programming language
- Python
- Development Status
- Active
References
- Modelizer