| --- |
| language: |
| - en |
| task_categories: |
| - text-generation |
| size_categories: |
| - n<1K |
| license: mit |
| pretty_name: FlutterBench |
| --- |
| |
| # FlutterBench |
|
|
| FlutterBench is a 600-item, English-language, held-out evaluation benchmark |
| for Flutter/Dart code generation, disjoint from the companion `flutterft` |
| training corpus. This repository contains only the **public** portion of the |
| benchmark: prompts and scoring rubrics. Reference (private) answers are |
| intentionally **not** included here, to preserve the benchmark as a genuine |
| held-out evaluation set for anyone who wants to test a model against it |
| without seeing the expected output in advance. |
|
|
| ## Important notice on source provenance and licensing |
|
|
| **Source repository, commit, and license information for the underlying code |
| referenced by these prompts was not recorded during data collection and has |
| not been verified per record.** Public visibility of a source repository does |
| not by itself grant permission to redistribute derived material under a new |
| license. This dataset's own packaging (this card, the JSONL structure) is |
| released under the MIT license, but that does not and cannot override the |
| license terms of any original source code the prompts may reference, which |
| are unknown here. **Use this dataset at your own risk and responsibility.** |
| If you are the author of any code referenced in this benchmark and object to |
| its inclusion, please open a discussion on this repository and it will be |
| addressed. |
|
|
| ## Contents |
|
|
| - `prompts.jsonl` — 600 public prompts with task type, difficulty, and |
| metadata (chat-format, no assistant answer). |
| - `rubrics.jsonl` — 600 five-criterion, task-dependent scoring rubrics |
| (0-5 anchors) for evaluating generated responses. |
|
|
| | Task type | Items | |
| | --- | ---: | |
| | question_to_code | 282 | |
| | test_generation | 200 | |
| | refactor | 26 | |
| | code_to_explanation | 26 | |
| | bug_fix | 25 | |
| | completion | 25 | |
| | api_usage | 16 | |
| |
| Difficulty distribution: 42 easy, 313 medium, 245 hard. |
| |
| ## Evaluation policy |
| |
| Text-similarity metrics (e.g. n-gram overlap against a private reference) are |
| a diagnostic signal only, not proof of functional correctness. A subset of |
| 120 items has an associated executable check (FlutterBench-Exec: `dart |
| format`, `dart analyze`, `flutter test` in an isolated package); results |
| should be reported as pass@1 on the specific subset actually exercised, not |
| extrapolated to the full 600 items. Because rubrics reference exact expected |
| outputs, treat any score derived without executing the code as a diagnostic, |
| not a correctness claim. |
| |
| ## Known limitations |
| |
| - Reference/private answers are not published in this repository by design. |
| Researchers who need them for controlled comparison should contact the |
| maintainer directly. |
| - Only 61 of a 120-item executable-check subset have been authored and |
| locally validated as of this release; the rest depend on upstream source |
| not available in this dataset and are not scored. |
| - Only one downstream model family (Qwen2.5-Coder-3B-Instruct) has been |
| evaluated against this benchmark; results should not be assumed to |
| generalize to other models. |
| |
| ## Citation |
| |
| If you use this benchmark, please cite the repository. A predecessor study on |
| Turkish Flutter code generation is: |
| |
| Uluırmak, B. A., & Kurban, R. (2025). Fine-tuning Large Language Models for |
| Turkish Flutter Code Generation. *Sakarya University Journal of Computer and |
| Information Sciences*, 8(4), 637-650. |
| |
