OmniReasoner SFT OmniReasoner SFT is a mixed source, research only supervised fine tuning dataset for audio visual and long video reasoning. It contains two stage cold start SFT trajectories with interval selection, zoom in evidence, and final answers. Contents data/train.jsonl : HF ready training JSONL with repo relative media paths. media/ : raw and derived media referenced by train.jsonl . manifests/media manifest.jsonl : media inventory with repo paths, source family, media type, file size, and reference counts. manifests/dataset stats.json : dataset and media statistics. configs/ : lmms engine SFT configs and launch scripts used for training. scripts/materialize lmms jsonl.py : rewrites repo relative paths into local absolute file:// paths after download. Source Families This dataset includes both original source and derived media: CG Bench long videos. FineVideo videos. AVQA R1 image/audio samples derived from OmniInstruct/AVQA/VGGSound sources. Composition videos generated by concatenating multiple FineVideo videos. Anomaly videos generated by inserting LLaVA Video 178K / scaled source anomaly clips into CG Bench long videos, with anomaly type and ground truth intervals. The…
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