UCSC-VLAA/VLM-CapCurriculum-Perception-Data
VLM-CapCurriculum-Perception (D_perc) Stage-1 visual perception data for the staged post-training recipe in "From Seeing to Thinking: Decoupling Perception and Reasoning Improves Post-Training of Vision-Language Models" (ICML 2026). Each sample is a 4-way multiple-choice question over an image where the question can be answered from a fine-grained image caption but is missed by a strong VLM looking only at the image — by construction, these samples isolate perception failures… See the full description on the dataset page: https://huggingface.co/datasets/UCSC-VLAA/VLM-CapCurriculum-Perception-D
| Author / organization | UCSC-VLAA |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 136 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 15 May 2026 |
| Last updated at source | 20 May 2026 |
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- 16 Oct 2026 Description: VLM-CapCurriculum-Perception (D_perc) Stage-1 visual perception data for the staged post-training recipe in "From Seeing to Thinking: Decoupling Perception and Reasoning Improves Post-Training of Vision-Language Models" (ICML 2026). Each sa → VLM-CapCurriculum-Perception (D_perc) Stage-1 visual perception data for the staged post-training recipe in "From Seeing to Thinking: Decoupling Perception and Reasoning Improves Post-Training of Vision-Language Models" (ICML 2026). Each sa
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