| | --- |
| | license: cc-by-4.0 |
| | dataset_info: |
| | - config_name: predrule-IMP-K-mk-human-written |
| | features: |
| | - name: id |
| | dtype: string |
| | - name: program |
| | dtype: string |
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| | - name: K-evaluatable |
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| | - name: ground-truth |
| | dtype: string |
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| | dtype: string |
| | splits: |
| | - name: train |
| | num_bytes: 5013516 |
| | num_examples: 324 |
| | download_size: 187603 |
| | dataset_size: 5013516 |
| | - config_name: predrule-IMP-K-uk-human-written |
| | features: |
| | - name: id |
| | dtype: string |
| | - name: program |
| | dtype: string |
| | - name: src-filename |
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| | - name: train |
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| | download_size: 129218 |
| | dataset_size: 2478661 |
| | - config_name: predrule-IMP-SOS-mk-human-written |
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| | - name: program |
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| | num_examples: 324 |
| | download_size: 208241 |
| | dataset_size: 6783414 |
| | - config_name: predrule-IMP-SOS-uk-human-written |
| | features: |
| | - name: id |
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| | - name: program |
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| | - name: train |
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| | - name: id |
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| | - name: ground-truth |
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| | - name: train |
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| | download_size: 7001572 |
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| | - config_name: predstate-IMP-K-mk-human-written |
| | features: |
| | - name: id |
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| | splits: |
| | - name: train |
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| | download_size: 63156 |
| | dataset_size: 3235751 |
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| | features: |
| | - name: id |
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| | - name: K-evaluatable |
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| | - name: ground-truth |
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| | splits: |
| | - name: train |
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| | num_examples: 330 |
| | download_size: 268020 |
| | dataset_size: 4354979 |
| | - config_name: predstate-IMP-K-uk-fuzzer-generated |
| | features: |
| | - name: id |
| | dtype: string |
| | - name: program |
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| | dtype: string |
| | - name: K-evaluatable |
| | dtype: bool |
| | - name: ground-truth |
| | dtype: string |
| | splits: |
| | - name: train |
| | num_bytes: 12440461 |
| | num_examples: 165 |
| | download_size: 3420099 |
| | dataset_size: 12440461 |
| | - config_name: predstate-IMP-K-uk-human-written |
| | features: |
| | - name: id |
| | dtype: string |
| | - name: program |
| | dtype: string |
| | - name: src-filename |
| | dtype: string |
| | - name: semantics-type |
| | dtype: string |
| | - name: syntax |
| | dtype: string |
| | - name: semantics |
| | dtype: string |
| | - name: language |
| | dtype: string |
| | - name: mutated-program |
| | dtype: string |
| | - name: mutated |
| | dtype: bool |
| | - name: mutation-pattern |
| | dtype: string |
| | - name: K-evaluatable |
| | dtype: bool |
| | - name: ground-truth |
| | dtype: string |
| | splits: |
| | - name: train |
| | num_bytes: 1591974 |
| | num_examples: 162 |
| | download_size: 45219 |
| | dataset_size: 1591974 |
| | - config_name: predstate-IMP-K-uk-llm-translated |
| | features: |
| | - name: id |
| | dtype: string |
| | - name: program |
| | dtype: string |
| | - name: src-filename |
| | dtype: string |
| | - name: semantics-type |
| | dtype: string |
| | - name: syntax |
| | dtype: string |
| | - name: semantics |
| | dtype: string |
| | - name: language |
| | dtype: string |
| | - name: mutated-program |
| | dtype: string |
| | - name: mutated |
| | dtype: bool |
| | - name: mutation-pattern |
| | dtype: string |
| | - name: K-evaluatable |
| | dtype: bool |
| | - name: ground-truth |
| | dtype: string |
| | splits: |
| | - name: train |
| | num_bytes: 2135878 |
| | num_examples: 165 |
| | download_size: 191974 |
| | dataset_size: 2135878 |
| | - config_name: predstate-IMP-SOS-mk-fuzzer-generated |
| | features: |
| | - name: id |
| | dtype: string |
| | - name: program |
| | dtype: string |
| | - name: src-filename |
| | dtype: string |
| | - name: semantics-type |
| | dtype: string |
| | - name: syntax |
| | dtype: string |
| | - name: semantics |
| | dtype: string |
| | - name: language |
| | dtype: string |
| | - name: mutated-program |
| | dtype: string |
| | - name: mutated |
| | dtype: bool |
| | - name: mutation-pattern |
| | dtype: string |
| | - name: K-evaluatable |
| | dtype: bool |
| | - name: ground-truth |
| | dtype: string |
| | splits: |
| | - name: train |
| | num_bytes: 27679877 |
| | num_examples: 330 |
| | download_size: 7008888 |
| | dataset_size: 27679877 |
| | - config_name: predstate-IMP-SOS-mk-human-written |
| | features: |
| | - name: id |
| | dtype: string |
| | - name: program |
| | dtype: string |
| | - name: src-filename |
| | dtype: string |
| | - name: semantics-type |
| | dtype: string |
| | - name: syntax |
| | dtype: string |
| | - name: semantics |
| | dtype: string |
| | - name: language |
| | dtype: string |
| | - name: mutated-program |
| | dtype: string |
| | - name: mutated |
| | dtype: bool |
| | - name: mutation-pattern |
| | dtype: string |
| | - name: K-evaluatable |
| | dtype: bool |
| | - name: ground-truth |
| | dtype: string |
| | splits: |
| | - name: train |
| | num_bytes: 4828049 |
| | num_examples: 324 |
| | download_size: 70431 |
| | dataset_size: 4828049 |
| | - config_name: predstate-IMP-SOS-mk-llm-translated |
| | features: |
| | - name: id |
| | dtype: string |
| | - name: program |
| | dtype: string |
| | - name: src-filename |
| | dtype: string |
| | - name: semantics-type |
| | dtype: string |
| | - name: syntax |
| | dtype: string |
| | - name: semantics |
| | dtype: string |
| | - name: language |
| | dtype: string |
| | - name: mutated-program |
| | dtype: string |
| | - name: mutated |
| | dtype: bool |
| | - name: mutation-pattern |
| | dtype: string |
| | - name: K-evaluatable |
| | dtype: bool |
| | - name: ground-truth |
| | dtype: string |
| | splits: |
| | - name: train |
| | num_bytes: 5976764 |
| | num_examples: 330 |
| | download_size: 275335 |
| | dataset_size: 5976764 |
| | - config_name: predstate-IMP-SOS-uk-fuzzer-generated |
| | features: |
| | - name: id |
| | dtype: string |
| | - name: program |
| | dtype: string |
| | - name: src-filename |
| | dtype: string |
| | - name: semantics-type |
| | dtype: string |
| | - name: syntax |
| | dtype: string |
| | - name: semantics |
| | dtype: string |
| | - name: language |
| | dtype: string |
| | - name: mutated-program |
| | dtype: string |
| | - name: mutated |
| | dtype: bool |
| | - name: mutation-pattern |
| | dtype: string |
| | - name: K-evaluatable |
| | dtype: bool |
| | - name: ground-truth |
| | dtype: string |
| | splits: |
| | - name: train |
| | num_bytes: 13248959 |
| | num_examples: 165 |
| | download_size: 3426544 |
| | dataset_size: 13248959 |
| | - config_name: predstate-IMP-SOS-uk-human-written |
| | features: |
| | - name: id |
| | dtype: string |
| | - name: program |
| | dtype: string |
| | - name: src-filename |
| | dtype: string |
| | - name: semantics-type |
| | dtype: string |
| | - name: syntax |
| | dtype: string |
| | - name: semantics |
| | dtype: string |
| | - name: language |
| | dtype: string |
| | - name: mutated-program |
| | dtype: string |
| | - name: mutated |
| | dtype: bool |
| | - name: mutation-pattern |
| | dtype: string |
| | - name: K-evaluatable |
| | dtype: bool |
| | - name: ground-truth |
| | dtype: string |
| | splits: |
| | - name: train |
| | num_bytes: 2385774 |
| | num_examples: 162 |
| | download_size: 51669 |
| | dataset_size: 2385774 |
| | - config_name: predstate-IMP-SOS-uk-llm-translated |
| | features: |
| | - name: id |
| | dtype: string |
| | - name: program |
| | dtype: string |
| | - name: src-filename |
| | dtype: string |
| | - name: semantics-type |
| | dtype: string |
| | - name: syntax |
| | dtype: string |
| | - name: semantics |
| | dtype: string |
| | - name: language |
| | dtype: string |
| | - name: mutated-program |
| | dtype: string |
| | - name: mutated |
| | dtype: bool |
| | - name: mutation-pattern |
| | dtype: string |
| | - name: K-evaluatable |
| | dtype: bool |
| | - name: ground-truth |
| | dtype: string |
| | splits: |
| | - name: train |
| | num_bytes: 2944378 |
| | num_examples: 165 |
| | download_size: 198417 |
| | dataset_size: 2944378 |
| | - config_name: predstate-IMP-nk-fuzzer-generated |
| | features: |
| | - name: id |
| | dtype: string |
| | - name: program |
| | dtype: string |
| | - name: src-filename |
| | dtype: string |
| | - name: language |
| | dtype: string |
| | - name: mutated-program |
| | dtype: string |
| | - name: mutated |
| | dtype: bool |
| | - name: mutation-pattern |
| | dtype: string |
| | - name: K-evaluatable |
| | dtype: bool |
| | - name: ground-truth |
| | dtype: string |
| | splits: |
| | - name: train |
| | num_bytes: 10917179 |
| | num_examples: 165 |
| | download_size: 3416057 |
| | dataset_size: 10917179 |
| | - config_name: predstate-IMP-nk-human-written |
| | features: |
| | - name: id |
| | dtype: string |
| | - name: program |
| | dtype: string |
| | - name: src-filename |
| | dtype: string |
| | - name: language |
| | dtype: string |
| | - name: mutated-program |
| | dtype: string |
| | - name: mutated |
| | dtype: bool |
| | - name: mutation-pattern |
| | dtype: string |
| | - name: K-evaluatable |
| | dtype: bool |
| | - name: ground-truth |
| | dtype: string |
| | splits: |
| | - name: train |
| | num_bytes: 96390 |
| | num_examples: 162 |
| | download_size: 41198 |
| | dataset_size: 96390 |
| | - config_name: predstate-IMP-nk-llm-translated |
| | features: |
| | - name: id |
| | dtype: string |
| | - name: program |
| | dtype: string |
| | - name: src-filename |
| | dtype: string |
| | - name: language |
| | dtype: string |
| | - name: mutated-program |
| | dtype: string |
| | - name: mutated |
| | dtype: bool |
| | - name: mutation-pattern |
| | dtype: string |
| | - name: K-evaluatable |
| | dtype: bool |
| | - name: ground-truth |
| | dtype: string |
| | splits: |
| | - name: train |
| | num_bytes: 612598 |
| | num_examples: 165 |
| | download_size: 187945 |
| | dataset_size: 612598 |
| | - config_name: predtrace-IMP-K-mk-human-written |
| | features: |
| | - name: id |
| | dtype: string |
| | - name: program |
| | dtype: string |
| | - name: src-filename |
| | dtype: string |
| | - name: semantics-type |
| | dtype: string |
| | - name: syntax |
| | dtype: string |
| | - name: semantics |
| | dtype: string |
| | - name: language |
| | dtype: string |
| | - name: mutated-program |
| | dtype: string |
| | - name: mutated |
| | dtype: bool |
| | - name: mutation-pattern |
| | dtype: string |
| | - name: K-evaluatable |
| | dtype: bool |
| | - name: ground-truth |
| | dtype: string |
| | - name: max-loop-depth |
| | dtype: int64 |
| | - name: max-if-depth |
| | dtype: int64 |
| | splits: |
| | - name: train |
| | num_bytes: 22715525 |
| | num_examples: 324 |
| | download_size: 1272634 |
| | dataset_size: 22715525 |
| | - config_name: predtrace-IMP-K-uk-human-written |
| | features: |
| | - name: id |
| | dtype: string |
| | - name: program |
| | dtype: string |
| | - name: src-filename |
| | dtype: string |
| | - name: semantics-type |
| | dtype: string |
| | - name: syntax |
| | dtype: string |
| | - name: semantics |
| | dtype: string |
| | - name: language |
| | dtype: string |
| | - name: mutated-program |
| | dtype: string |
| | - name: mutated |
| | dtype: bool |
| | - name: mutation-pattern |
| | dtype: string |
| | - name: K-evaluatable |
| | dtype: bool |
| | - name: ground-truth |
| | dtype: string |
| | - name: max-loop-depth |
| | dtype: int64 |
| | - name: max-if-depth |
| | dtype: int64 |
| | splits: |
| | - name: train |
| | num_bytes: 11331861 |
| | num_examples: 162 |
| | download_size: 648136 |
| | dataset_size: 11331861 |
| | - config_name: predtrace-IMP-SOS-mk-human-written |
| | features: |
| | - name: id |
| | dtype: string |
| | - name: program |
| | dtype: string |
| | - name: src-filename |
| | dtype: string |
| | - name: semantics-type |
| | dtype: string |
| | - name: syntax |
| | dtype: string |
| | - name: semantics |
| | dtype: string |
| | - name: language |
| | dtype: string |
| | - name: mutated-program |
| | dtype: string |
| | - name: mutated |
| | dtype: bool |
| | - name: mutation-pattern |
| | dtype: string |
| | - name: K-evaluatable |
| | dtype: bool |
| | - name: ground-truth |
| | dtype: string |
| | - name: max-loop-depth |
| | dtype: int64 |
| | - name: max-if-depth |
| | dtype: int64 |
| | splits: |
| | - name: train |
| | num_bytes: 36623365 |
| | num_examples: 324 |
| | download_size: 2093312 |
| | dataset_size: 36623365 |
| | - config_name: predtrace-IMP-SOS-uk-human-written |
| | features: |
| | - name: id |
| | dtype: string |
| | - name: program |
| | dtype: string |
| | - name: src-filename |
| | dtype: string |
| | - name: semantics-type |
| | dtype: string |
| | - name: syntax |
| | dtype: string |
| | - name: semantics |
| | dtype: string |
| | - name: language |
| | dtype: string |
| | - name: mutated-program |
| | dtype: string |
| | - name: mutated |
| | dtype: bool |
| | - name: mutation-pattern |
| | dtype: string |
| | - name: K-evaluatable |
| | dtype: bool |
| | - name: ground-truth |
| | dtype: string |
| | - name: max-loop-depth |
| | dtype: int64 |
| | - name: max-if-depth |
| | dtype: int64 |
| | splits: |
| | - name: train |
| | num_bytes: 18283431 |
| | num_examples: 162 |
| | download_size: 1061198 |
| | dataset_size: 18283431 |
| | configs: |
| | - config_name: predrule-IMP-K-mk-human-written |
| | data_files: |
| | - split: train |
| | path: predrule-IMP-K-mk-human-written/train-* |
| | - config_name: predrule-IMP-K-uk-human-written |
| | data_files: |
| | - split: train |
| | path: predrule-IMP-K-uk-human-written/train-* |
| | - config_name: predrule-IMP-SOS-mk-human-written |
| | data_files: |
| | - split: train |
| | path: predrule-IMP-SOS-mk-human-written/train-* |
| | - config_name: predrule-IMP-SOS-uk-human-written |
| | data_files: |
| | - split: train |
| | path: predrule-IMP-SOS-uk-human-written/train-* |
| | - config_name: predstate-IMP-K-mk-fuzzer-generated |
| | data_files: |
| | - split: train |
| | path: predstate-IMP-K-mk-fuzzer-generated/train-* |
| | - config_name: predstate-IMP-K-mk-human-written |
| | data_files: |
| | - split: train |
| | path: predstate-IMP-K-mk-human-written/train-* |
| | - config_name: predstate-IMP-K-mk-llm-translated |
| | data_files: |
| | - split: train |
| | path: predstate-IMP-K-mk-llm-translated/train-* |
| | - config_name: predstate-IMP-K-uk-fuzzer-generated |
| | data_files: |
| | - split: train |
| | path: predstate-IMP-K-uk-fuzzer-generated/train-* |
| | - config_name: predstate-IMP-K-uk-human-written |
| | data_files: |
| | - split: train |
| | path: predstate-IMP-K-uk-human-written/train-* |
| | - config_name: predstate-IMP-K-uk-llm-translated |
| | data_files: |
| | - split: train |
| | path: predstate-IMP-K-uk-llm-translated/train-* |
| | - config_name: predstate-IMP-SOS-mk-fuzzer-generated |
| | data_files: |
| | - split: train |
| | path: predstate-IMP-SOS-mk-fuzzer-generated/train-* |
| | - config_name: predstate-IMP-SOS-mk-human-written |
| | data_files: |
| | - split: train |
| | path: predstate-IMP-SOS-mk-human-written/train-* |
| | - config_name: predstate-IMP-SOS-mk-llm-translated |
| | data_files: |
| | - split: train |
| | path: predstate-IMP-SOS-mk-llm-translated/train-* |
| | - config_name: predstate-IMP-SOS-uk-fuzzer-generated |
| | data_files: |
| | - split: train |
| | path: predstate-IMP-SOS-uk-fuzzer-generated/train-* |
| | - config_name: predstate-IMP-SOS-uk-human-written |
| | data_files: |
| | - split: train |
| | path: predstate-IMP-SOS-uk-human-written/train-* |
| | - config_name: predstate-IMP-SOS-uk-llm-translated |
| | data_files: |
| | - split: train |
| | path: predstate-IMP-SOS-uk-llm-translated/train-* |
| | - config_name: predstate-IMP-nk-fuzzer-generated |
| | data_files: |
| | - split: train |
| | path: predstate-IMP-nk-fuzzer-generated/train-* |
| | - config_name: predstate-IMP-nk-human-written |
| | data_files: |
| | - split: train |
| | path: predstate-IMP-nk-human-written/train-* |
| | - config_name: predstate-IMP-nk-llm-translated |
| | data_files: |
| | - split: train |
| | path: predstate-IMP-nk-llm-translated/train-* |
| | - config_name: predtrace-IMP-K-mk-human-written |
| | data_files: |
| | - split: train |
| | path: predtrace-IMP-K-mk-human-written/train-* |
| | - config_name: predtrace-IMP-K-uk-human-written |
| | data_files: |
| | - split: train |
| | path: predtrace-IMP-K-uk-human-written/train-* |
| | - config_name: predtrace-IMP-SOS-mk-human-written |
| | data_files: |
| | - split: train |
| | path: predtrace-IMP-SOS-mk-human-written/train-* |
| | - config_name: predtrace-IMP-SOS-uk-human-written |
| | data_files: |
| | - split: train |
| | path: predtrace-IMP-SOS-uk-human-written/train-* |
| | --- |
| | |
| | # PLSemanticsBench |
| |
|
| | ## Table of Contents |
| | - [About](#about) |
| | - [Installation](#installation) |
| | - [Quick Start](#quick-start) |
| | - [Detailed Usage](#detailed-usage) |
| | - [Benchmark](#benchmark) |
| | - [Citation](#citation) |
| |
|
| | ## About |
| | PLSemanticsBench is the first benchmark for evaluating LLMs as programming language interpreters. We introduce three tasks to evaluate this: |
| |
|
| | | Task | Description | |
| | |------|-------------| |
| | | ✨ **PredState**| Predicts the final program state | |
| | | ✨ **PredRule** | Predicts the ordered sequence of semantic rules needed to evaluate a program| |
| | | ✨ **PredTrace**| Predicts the step-by-step execution of a program | |
| |
|
| | You must implement [BaseRunner](https://github.com/EngineeringSoftware/PLSemanticsBench/blob/main/src/plsemanticsbench/core/exps/base_experiment.py)(`_query` method) to evaluate your models. We provide two example implementations for OpenAI models ([GPTRunner](https://github.com/EngineeringSoftware/PLSemanticsBench/blob/main/src/plsemanticsbench/core/exps/gpt_experiment.py)) and Ollama models ([OllamaRunner](https://github.com/EngineeringSoftware/PLSemanticsBench/blob/main/src/plsemanticsbench/core/exps/ollama_experiment.py)). |
| |
|
| | ## Installation |
| |
|
| | ### System Requirements |
| | - Python 3.11 or higher |
| | - OpenAI API key (for running experiments with OpenAI models) |
| |
|
| |
|
| | ### Step-by-Step Installation |
| | 1. Create and activate the conda environment: |
| | ```bash |
| | conda env create -f env.yaml |
| | conda activate plsemanticsbench |
| | ``` |
| |
|
| | 2. Set up your OpenAI API key (only for OpenAI models): |
| | ```bash |
| | export OPENAI_API_KEY='your-api-key-here' |
| | ``` |
| |
|
| | ## Quick Start |
| |
|
| | We provide a bash script `quick` that: |
| | 1. Sets up the `plsemanticsbench` conda environment. |
| | 2. Pulls the `DeepSeek-R1 1.5B` model. |
| | 3. Evaluates the `DeepSeek-R1 1.5B` model on the `PredState` task with `no-semantics` and `chain-of-thought` prompting on the `Human-Written` dataset. |
| | 4. Prints the `accuracy` and `malformed-count` to screen. |
| | 5. Creates `metrics-predstate-deepseek-r1:1.5b.json` that contains the evaluation result. |
| | |
| | ```bash |
| | bash quick |
| | ``` |
| |
|
| | ## Detailed Usage |
| |
|
| | ### Basic Example |
| | Here's a minimal example to get started: |
| |
|
| | ```python |
| | from plsemanticsbench import GPTRunner |
| | from plsemanticsbench import ExperimentArgs, LLMEvaluator |
| | from plsemanticsbench import ( |
| | PROMPT_STRATEGY, |
| | Task, |
| | Formalization, |
| | Semantics_Type, |
| | Language, |
| | PLDataset |
| | ) |
| | |
| | # Model name |
| | model_name = "o3-mini" |
| | |
| | # Experiment args: Run the PredState task on the IMP language with |
| | # standard semantics formalized using SOS and with direct prompting |
| | exp_args = ExperimentArgs( |
| | dataset=PLDataset.Human_Written, |
| | task=Task.PredState, |
| | language=Language.IMP, |
| | formalization=Formalization.SOS, |
| | semantics_type=Semantics_Type.Standard, |
| | model_name=model_name, |
| | prompt_strategy=PROMPT_STRATEGY.DA, |
| | num_datapoints_to_run=2, # Run just 2 datapoints (omit to run entire dataset) |
| | ) |
| | |
| | # Run inference using the OpenAI API |
| | gpt_runner = GPTRunner(args=exp_args) |
| | |
| | # Generation (generate LLM prediction on the predstate task) |
| | predictions = gpt_runner.do_experiment() # path to dump results can be provided |
| | |
| | # Evaluation (evaluate LLM prediction against ground-truth) |
| | llm_eval = LLMEvaluator(task=exp_args.task, semantics_type=exp_args.semantics_type) |
| | evaluation_result = llm_eval.evaluate_from_list(results=predictions, model_name=model_name) |
| | print(evaluation_result) |
| | ``` |
| |
|
| | ### Expected Output |
| |
|
| | ```python |
| | { |
| | 'accuracy': 1, |
| | 'malformed-count': 0, |
| | } |
| | ``` |
| |
|
| | ## Benchmark |
| |
|
| | You can load the dataset using the `datasets` library. Here is an example: |
| | ```python |
| | from datasets import load_dataset |
| | |
| | # Load PredState task with standard semantics (uk) and K-semantics formalization (K) and with the Human Written (human-written) dataset |
| | predstate_IMP_K_uk_human_written = load_dataset("EngineeringSoftware/PLSemanticsBench", name="predstate-IMP-K-uk-human-written") |
| | |
| | # Load PredRule task with nonstandard semantics (mk) ans SOS formalization (SOS) and with the LLM Translated (llm-translated) dataset |
| | predrule_IMP_SOS_mk_llm_translated = load_dataset("EngineeringSoftware/PLSemanticsBench", name="predrule-IMP-SOS-mk-llm-translated") |
| | |
| | # Load PredState task with no-semantics (nk) and with the Fuzzer Generated (fuzzer-generated) dataset |
| | predstate_IMP_nk_fuzzer_generated = load_dataset("EngineeringSoftware/PLSemanticsBench", name="predstate-IMP-nk-fuzzer-generated") |
| | ``` |
| |
|
| | ### Dataset Split |
| |
|
| | <table> |
| | <tr> |
| | <th>Task</th> |
| | <th>Split</th> |
| | <th>Description</th> |
| | </tr> |
| | <tr> |
| | <td rowspan="5">✨ <strong>PredState</strong><br>(Final State Prediction)</td> |
| | <td> predstate-IMP-nk-{dataset-name} </td> |
| | <td> No semantics </td> |
| | </tr> |
| | <tr> |
| | <td> predstate-IMP-K-uk-{dataset-name} </td> |
| | <td>Standard semantics with K-semantics formalization</td> |
| | </tr> |
| | <tr> |
| | <td> predstate-IMP-K-mk-{dataset-name} </td> |
| | <td>Nonstandard semantics with K-semantics formalization</td> |
| | </tr> |
| | <tr> |
| | <td> predstate-IMP-SOS-uk-{dataset-name} </td> |
| | <td>Standard semantics with SOS formalization</td> |
| | </tr> |
| | <tr> |
| | <td> predstate-IMP-SOS-mk-{dataset-name} </td> |
| | <td>Nonstandard semantics with SOS formalization</td> |
| | </tr> |
| | <tr> |
| | <td rowspan="4">✨ <strong>PredRule</strong><br>(Semantic Rule Prediction)</td> |
| | <td> predrule-IMP-K-uk-human-written </td> |
| | <td>Standard semantics with K-semantics formalization</td> |
| | </tr> |
| | <tr> |
| | <td> predrule-IMP-K-mk-human-written </td> |
| | <td>Nonstandard semantics with K-semantics formalization</td> |
| | </tr> |
| | <tr> |
| | <td> predrule-IMP-SOS-uk-human-written </td> |
| | <td>Standard semantics with SOS formalization</td> |
| | </tr> |
| | <tr> |
| | <td> predrule-IMP-SOS-mk-human-written </td> |
| | <td>Nonstandard semantics with SOS formalization</td> |
| | </tr> |
| | <tr> |
| | <td rowspan="4">✨ <strong>PredTrace</strong><br>(Execution Trace Prediction)</td> |
| | <td> predtrace-IMP-K-uk-human-written </td> |
| | <td>Standard semantics with K-semantics formalization</td> |
| | </tr> |
| | <tr> |
| | <td> predtrace-IMP-K-mk-human-written </td> |
| | <td>Nonstandard semantics with K-semantics formalization</td> |
| | </tr> |
| | <tr> |
| | <td> predtrace-IMP-SOS-uk-human-written </td> |
| | <td>Standard semantics with SOS formalization</td> |
| | </tr> |
| | <tr> |
| | <td> predtrace-IMP-SOS-mk-human-written </td> |
| | <td>Nonstandard semantics with SOS formalization</td> |
| | </tr> |
| | </table> |
| | |
| |
|
| | ### Data Example |
| |
|
| | One example of the dataset is as follows: |
| | ```json |
| | { |
| | "program": "int ans; ans = 1; ...", |
| | "syntax": "<program> :: ...", |
| | "semantics": "ℤ := Set of integers ...", |
| | "mutated-program": "int ans; ans = 1; ...", |
| | "mutation-pattern": "KeyWordSwap", |
| | "exec-trace": [ |
| | { |
| | "linenumber": 1, |
| | "rule": ["Rule 38", "Rule 39"], |
| | "state": {"ans": 1} |
| | } |
| | ], |
| | "ground-truth": "<answer>...</answer>" |
| | } |
| | ``` |
| |
|
| | ## Citation |
| | ```bibtex |
| | @article{ThimmaiahETAL25PLSemanticsBench, |
| | title={PLSemanticsBench: Large Language Models As Programming Language Interpreters}, |
| | author={Aditya Thimmaiah, Jiyang Zhang, Jayanth Srinivasa, Junyi Jessy Li, Milos Gligoric}, |
| | year={2025}, |
| | archivePrefix={arXiv}, |
| | url={https://arxiv.org/abs/2510.03415}, |
| | } |
| | ``` |
| |
|
| |
|
| | ## License |
| | This project is licensed under the [CC BY 4.0 License](https://creativecommons.org/licenses/by/4.0/). |
| |
|
