implementation detail · filed under data curation
Heuristic filtering
Filtering uses heuristics; the evidence does not specify the particular rules or criteria.
Also called Heuristic filtering for multilingual data.
- sources
- 2
- models
- 2
- lab adopt it
- 1
- strongest
- used
How sources treat it
One count per evidence span, weakest treatment to strongest.
used 2
Documented in
Evidence
2 spans quoted from the sources, strongest treatment first.
we applied just heuristic filtering instead—similar to what we did for lower quality English data in the Nemotron-CC pipeline
useddata curationin Nemotron 3.5 LightningNVIDIA
we applied just heuristic filtering instead—similar to what we did for lower quality English data in the Nemotron-CC pipeline
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 contentKeyword- 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 cleaningData filtering pipelineDense 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