Datasets:
Tasks:
Text Classification
Formats:
parquet
Languages:
English
Size:
1K - 10K
Tags:
structured-decisions
calibration
probabilistic-classification
system-one
workflow-evaluation
Synthetic
License:
eval.yaml: declare evaluation_framework (none)
Browse filesThe Hub's benchmark spec asks eval.yaml for an evaluation_framework. This benchmark scores with its own metrics (accuracy, KL from gold, Brier, ECE), so it declares `none`, as InternScience/ResearchClawBench and VLABench/vlabench_primitive_ft_lerobot_video do. No task changes.
eval.yaml
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@@ -4,6 +4,8 @@ description: >
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unstructured state and answers five typed questions about it at once, and
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every answer is a probability distribution, not a single label.
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tasks:
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- id: accuracy
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config: all
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unstructured state and answers five typed questions about it at once, and
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every answer is a probability distribution, not a single label.
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evaluation_framework: none
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tasks:
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- id: accuracy
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config: all
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