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Results for “Benchmark Data Contamination”
EN

Benchmark Data Contamination

The presence of evaluation examples or closely related material in training data, potentially inflating benchmark results.

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Data Provenance

Information about where data came from, how it was collected, and how it changed before use.

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Datasheets for Datasets

A documentation framework for describing how datasets were created, composed, maintained, and intended to be used.

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HELM

Holistic Evaluation of Language Models, a framework for evaluating models across scenarios and metrics.

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Hallucination in AI

A generated statement that is unsupported, fabricated, or inconsistent with the available evidence or context.

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MMLU

Massive Multitask Language Understanding, a benchmark covering many academic and professional subject areas.