StepCountQA-SFT

StepCountQA-SFT StepCountQA-SFT is a multimodal supervised fine-tuning (SFT) dataset for visual object counting with step-by-step reasoning. Built from PixMo-Count and PixMo-Points. Used to fine-tune vision-language models (e.g., Qwen2.5-VL) on visual counting with chain-of-thought reasoning. Dataset Statistics Split Entries Parquet Shards Approx. Size train 1,005,633 126 ~226 GB Data Format Each entry contains: { “conversations”: … See the full description on the dataset page:

Source: Hugging Face Hub (SI-Lab/StepCountQA-SFT). Metadata imported from the dataset’s Hub tags.