Add new HF QA tasks and enhance existing benchmarks#22
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- Updated `hf_tasks.yaml` to include new QA tasks: MuSiQue, GSM8K, ARC-Challenge, QASC, DROP, QuALITY, and Qasper with detailed configurations. - Implemented `mcqa.py` for handling multiple-choice questions, including task conversion and feedback scoring. - Created `musique.py` for MuSiQue task handling, focusing on alias scoring and context formatting. - Developed `qasper.py` for Qasper task processing, including context formatting and answer extraction. - Enhanced `hotpot_qa.py` to improve feedback mechanisms and response handling. - Added comprehensive tests in `test_hf_qa_ext.py` to validate new tasks and their functionalities. - Introduced `test_noop_trainer.py` to ensure NoOpTrainer operates correctly within the Trace-Bench runner. - Updated `trace_bench/runner.py` to support new model token handling and optimizer integration. - Refined `noop_trainer.py` to improve logging and parameter handling during training.
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hf_tasks.yamlto include new QA tasks: MuSiQue, GSM8K, ARC-Challenge, QASC, DROP, QuALITY, and Qasper with detailed configurations.mcqa.pyfor handling multiple-choice questions, including task conversion and feedback scoring.musique.pyfor MuSiQue task handling, focusing on alias scoring and context formatting.qasper.pyfor Qasper task processing, including context formatting and answer extraction.hotpot_qa.pyto improve feedback mechanisms and response handling.test_hf_qa_ext.pyto validate new tasks and their functionalities.test_noop_trainer.pyto ensure NoOpTrainer operates correctly within the Trace-Bench runner.trace_bench/runner.pyto support new model token handling and optimizer integration.noop_trainer.pyto improve logging and parameter handling during training.