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…mpts benchmark - Introduced `from_benchmark` method in `PrunaDataModule` to create instances from benchmark classes. - Added `Benchmark`, `BenchmarkEntry`, and `BenchmarkRegistry` classes for managing benchmarks. - Implemented `PartiPrompts` benchmark for text-to-image generation with various categories and challenges. - Created utility function `benchmark_to_datasets` to convert benchmarks into datasets compatible with `PrunaDataModule`. - Added integration tests for benchmark functionality and data module interactions.
…filtering - Remove heavy benchmark abstraction (Benchmark class, registry, adapter, 24 subclasses) - Extend setup_parti_prompts_dataset with category and num_samples params - Add BenchmarkInfo dataclass for metadata (metrics, description, subsets) - Switch PartiPrompts to prompt_with_auxiliaries_collate to preserve Category/Challenge - Merge tests into test_datamodule.py Reduces 964 lines to 128 lines (87% reduction) Co-authored-by: Cursor <cursoragent@cursor.com>
Add LongTextBench for evaluating text-to-image with long, complex prompts. Uses X-Omni/LongText-Bench dataset from HuggingFace. - Add setup_long_text_bench_dataset with num_samples filtering - Register in base_datasets with prompt_with_auxiliaries_collate - Add BenchmarkInfo with metrics: ["text_score"] - Preserve text_content field in auxiliaries for evaluation - Add tests Co-authored-by: Cursor <cursoragent@cursor.com>
Move summary to new line after opening quotes per Numpydoc GL01. Co-authored-by: Cursor <cursoragent@cursor.com>
Document all dataclass fields per Numpydoc PR01 with summary on new line per GL01. Co-authored-by: Cursor <cursoragent@cursor.com>
- Add list_benchmarks() to filter benchmarks by task type - Add get_benchmark_info() to retrieve benchmark metadata - Add COCO, ImageNet, WikiText to benchmark_info registry Co-authored-by: Cursor <cursoragent@cursor.com>
Update benchmark metrics to match registered names: - clip -> clip_score - clip_iqa -> clipiqa - Remove unimplemented top5_accuracy Co-authored-by: Cursor <cursoragent@cursor.com>
- Add list_benchmarks() to filter benchmarks by task type - Add get_benchmark_info() to retrieve benchmark metadata - Add COCO, ImageNet, WikiText to benchmark_info registry - Fix metric names to match MetricRegistry (clip_score, clipiqa) Co-authored-by: Cursor <cursoragent@cursor.com>
…-longtextbench-benchmark
davidberenstein1957
changed the base branch from
feat/add-partiprompts-benchmark-to-pruna
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main
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This PR has been inactive for 10 days and is now marked as stale. |
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Closes #513
Summary
X-Omni/LongText-Benchdataset from HuggingFacetext_contentfield in auxiliaries for text_score evaluationChanges
setup_long_text_bench_datasetinsrc/pruna/data/datasets/prompt.pybase_datasetsinsrc/pruna/data/__init__.pyBenchmarkInfowith metrics:["text_score"]Test plan
test_long_text_bench_auxiliariespassestest_dm_from_string[LongTextBench-...]passes