| --- |
| pretty_name: Program Pair Data |
| configs: |
| - config_name: cpp |
| data_files: |
| - split: test |
| path: final_benchmark_uniform/cpp_seed42_sanitized.jsonl |
| - config_name: python |
| data_files: |
| - split: test |
| path: final_benchmark_uniform/python_seed42_sanitized.jsonl |
| - config_name: java |
| data_files: |
| - split: test |
| path: final_benchmark_uniform/java_seed42_sanitized_process.jsonl |
| task_categories: |
| - text-classification |
| language: |
| - en |
| tags: |
| - code |
| - efficiency |
| - benchmark |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # Program Pair Data |
|
|
| This dataset contains 2,700 main-evaluation program pairs. Each language has |
| one `test` split with 900 pairs. |
|
|
| | Configuration | Pairs | Problems | Maximum pairs per problem | |
| | --- | ---: | ---: | ---: | |
| | `cpp` | 900 | 900 | 1 | |
| | `python` | 900 | 221 | 5 | |
| | `java` | 900 | 320 | 5 | |
|
|
| Each language contains 300 pairs in each slow-to-fast execution-cost ratio |
| range: [2, 4), [4, 8), and [8, infinity). |
|
|
| ## Fields |
|
|
| - `language`, `problem_id`, `pair_id`: language, task and comparison identifiers. |
| - `slow_code`, `fast_code`: exact model-facing program text, ordered by the saved efficiency labels. |
| - `slow_code_id`, `fast_code_id`: SHA-256 hashes of the displayed source text. |
| - `measured_slow_code_id`, `measured_fast_code_id`: SHA-256 identifiers of the measured source programs, which can differ from the displayed source. |
| - `slow_id`, `fast_id`: measured implementation identifiers. |
| - `speedup`: the saved slow-to-fast execution-cost ratio. |
| - `measurement_metric`: PIE released gem5 runtime for C++, CPU instruction count for Python, or elapsed execution time for Java. |
| - `stratum`, `sampling_key`: ratio stratum and deterministic sampling key. |
| - `slow_time`, `fast_time`: released aggregate costs, present for C++. |
|
|
| The Python and Java ratios aggregate per-input measurement ratios; they are |
| not reconstructed as ratios of aggregate times. Test inputs, expected |
| outputs, per-run measurements and original measured-source text are not |
| included. This dataset provides the program pairs and saved efficiency |
| labels used in the main evaluation. |
|
|
| ## Loading |
|
|
| ```python |
| from datasets import load_dataset |
| |
| data = load_dataset("JinNian0072/program-pair-data", "python", split="test") |
| assert len(data) == 900 |
| print(data[0]["slow_code"], data[0]["fast_code"]) |
| ``` |
|
|
| Use `cpp` or `java` for the other languages. The JSONL files are uncompressed. |
| `RELEASE.json` contains record counts and file checksums. Upstream code and |
| data retain their respective terms. |
|
|
