specific method · filed under data curation
SmolVLM-based image-text quality scoring
SmolVLM scores image-text content to select high-quality interleaved data.
Also called SmolVLM.
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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 employ SmolVLM (Marafioti et al., 2025) to conduct strict quality scoring on the image-text content, thereby extracting high-quality interleaved data.
usedunclearin DeepSeek-V4.1-FlashDeepSeek
Finally, we employ SmolVLM (Marafioti et al., 2025) to conduct strict quality scoring on the image-text content
usedunclearin DeepSeek-V4.1-FlashDeepSeek
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 filteringUnified 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