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README.md
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- split: train
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path: data/train-*
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- split: train
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path: data/train-*
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# SEQQA reward reference
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Regression fixture for `trl.internal.seqqa.reward`, used by `tests/internal/test_seqqa_rewards.py`.
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39 hand-checked answers across 20 SEQQA validator types: for each the
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`answer` string, the `ideal` reference answer, and whether `seqqa_accuracy_reward` is expected to score it
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`1.0` (`expected = true`) or `0.0`. `validator_params_json` is the serialised validator payload, and
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`source_id` / `source_revision` point at the generated question this row was pinned from.
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Values are pinned to real generated questions, so regenerating them is not equivalent to editing this set;
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change a row only alongside the reward change that motivates it.
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