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- Skill optimization framework with training loop analogy - 11 benchmarks, 4 model backends (Azure OpenAI, Claude, Codex, Qwen) - WebUI for browser-based training control - Pluggable architecture for extending benchmarks and backends
8 lines
324 B
Python
8 lines
324 B
Python
"""ReflACT Datasets -- task batch planning and data loading.
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Analogous to the datasets and dataloaders in neural network training:
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provides batch sampling, epoch planning, and data management for the
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ReflACT training pipeline.
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"""
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from skillopt.datasets.base import BaseDataLoader, BatchSpec, SplitDataLoader # noqa: F401
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