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README.md
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# trace-mcq
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TRACE
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Original data: [maveryn/trace](https://huggingface.co/datasets/maveryn/trace), [original distribution](https://huggingface.co/datasets/maveryn/trace). Repackaged as parquet for [tasksource](https://github.com/sileod/tasksource) by [scripts/repackage_dataset/procedural/
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[Conversion provenance](provenance.json): source revisions, hashes, configuration and exclusions.
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# trace-mcq
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TRACE MC retains native training/validation QAs and adds fresh training generations.
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Original data: https://huggingface.co/datasets/maveryn/trace. New instances use
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the pinned TRACE generator and independent seeds; native training answers supply
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same-task distractors checked with the original scorer. The native validation
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split is preserved, and image/question/gold duplicates and held-out image copies
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are excluded from the fresh training additions. Seeds and rendering versions are
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recorded; execution traces and gold targets stay out of model inputs. Dataset
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terms: CC BY 4.0, with the original asset credits and licenses retained.
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Original data: [maveryn/trace](https://huggingface.co/datasets/maveryn/trace), [original distribution](https://huggingface.co/datasets/maveryn/trace), [upstream generator and verifier](https://github.com/maveryn/trace). Repackaged as parquet for [tasksource](https://github.com/sileod/tasksource) by [scripts/repackage_dataset/procedural/trace_generate.py](https://github.com/sileod/tasksource/blob/main/scripts/repackage_dataset/procedural/trace_generate.py#L75).
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[Conversion provenance](provenance.json): source revisions, hashes, configuration and exclusions.
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