Dataset-Level Validation Before Training a Video-Language Model

I am comparing approaches for validating a large video dataset before training a video or vision-language model. The dataset includes video metadata, captions, transcripts, source IDs, publication timestamps, and engagement fields. The checks I am considering include: Metadata completeness Duplicate and near-duplicate detection Caption and transcript alignment Language distribution Creator or channel-level train/test splits Temporal leakage Missing or invalid media references Reproducible da...