general family · filed under data curation
Data filtering pipeline
A unified pipeline filters post-training samples for quality, license compliance, and verifiability.
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One count per evidence span, weakest treatment to strongest.
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Evidence
1 span quoted from the sources, strongest treatment first.
we apply a unified data filtering pipeline to ensure that only high-quality, license-compliant, and verifiable samples are used for post-training
useddata curationin Nemotron 3 UltraNVIDIA
Filed alongside
Other methods under data curation :: data filtering.
CSAM filteringSensitive data filteringCBRN pre-training data filteringFiltering batched auto-generated and templated contentHeuristic filteringKeyword- and regex-based filteringModel-based refusal and inability filteringPass@100 filteringPathological repetition filteringSmolVLM-based image-text quality scoringUnified data filtering pipelineAutomated verificationCoding-agent session filtering and trajectory deduplicationConservative model-based noise filteringContent quality and safety filteringContinuous contribution-score rankingData cleaningDense annotation of ambiguous low-quality dataDomain filtering with heuristics, classifier scoring, and deduplicationEvidence-based data cleaning and training constraintsFiltering low-information model-generated contentHeuristic and statistical filtering with deduplication and quality modelsImage-text relevance filteringLong-context data cleaning pipeline