Molmo2 PointArena SFT Data 26,596 supervised pointing examples used to fine tune Molmo2 8B ( yiyangd/molmo2 8b ft ) into a stronger PointArena solver ( 76.2% → up from 73.9% base, +2.3 pp). Provenance Each record is (image, query, answer) : image : A LAION 2B image sampled by reservoir sampling. Stored under laion images/ / .jpg (bucket is the first 2 hex chars of the SHA 1 hash of the image URL, used to spread files across folders). query : A natural language pointing query derived from the LAION caption (e.g. "Where is X?" , "Point to X" ). answer : A target point in Molmo2 format, name , where X and Y are integers in [0, 1000] . Generated by Molmo 7B D 0924 as the teacher model. Stats field value total records 26,596 unique images 17,355 avg queries/img 1.53 single point ans 22,258 (83.7%) multi point ans 4,338 (16.3%) max points / ans varies How it was built 1. Sample LAION captions/images uniformly (reservoir sampling). 2. For each image, ask Molmo 7B D to point at the LAION caption phrase using the prompt pointing: . 3. Parse outputs with the strict point format and keep only: valid name parse, coordinates inside [0, 1000] , non empty answer name. 4. Convert to a single turn…
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