该数据集包含多个字段，主要用于问题生成和回答任务。数据集的主要特征包括问题文本（question）、生成ID（generation_id）、生成的回答（generation）、标记数量（num_tokens）、奖励分数（reward）、问题索引（question_index）、目标文本（target）、任务类型（task）、预测值（vf_prediction）和级别（level）。数据集仅包含测试

Hugging Face2026-05-07 更新10

Comparison of identification accuracy and training time between different training models on the PLAID dataset.

非侵入式负载监测

性能评估

Comparison of identification accuracy and training time between different training models on the PLAID dataset.

NIAID Data Ecosystem20

Performance metrics with a background class weight of 0.2, 0.5, 1.0, and 1.5 for loss.

类别权重调优

性能评估

With the background weight of 1.5, all the classes have an equal weight. The Std Dev Diff represents the standard deviation over validation sections of the differences of the metrics to the default ba

Figshare2024-03-29 更新10

Model performances and results of t-tests.

资源简介：

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