README.md

metadata

language:
  - en
tags:
  - part_understanding
  - segmenting_lmms
  - vision-language
pretty_name: Partonomy-Core

Repository for the Partonomy-Core benchmark introduced in PARTONOMY: Large Multimodal Models with Part-Level Visual Understanding.

Code can be found at https://github.com/anselblume/partonomy.

To download the images and evaluation metadata, install the HuggingFace CLI and run

hf download partonomy/partonomy-core --repo-type dataset --local-dir .

Unpack the images directory with tar --zst -xf images.tar.zst.

The images directory contains all images used in the Partonomy-Core evaluation. Evaluation questions, answer choices, and corresponding parts for each answer choice are contained in test-qa_pairs.json. Each question-answer JSON object contains the following fields:

• image_path (str): Relative path to the image corresponding to the question.
• image_label (str): Label for the object in the image.
• question (str): The LMM prompt used for evaluation of parts.
• question_type (str): The type of question. These include identification_with_label (identification), positive_with_label (intersection), negative_with_label (difference), whole_to_part (Whole-to-Part), and part_to_whole (Part-to-Whole).
• answer_choices (list[str]): The multiple choice answer choices to evaluate the model with, using each answer choice individually as the model's response to the question prompt.
• answer_types (list[str]): The correctness of each answer choice in the answer_choices field.
• answer_parts (list[list[str]]): List containing each of the part names sampled for each answer choice.
• segmentations (dict): Segmentation masks for each part, where keys are the part names. Segmentation mask objects for each part can be decoded into binary masks using pycocotools.mask.decode.
• object_question (str): Analogue of question LLM prompt, used for evaluation of the object label. Only present for Whole-to-Part and Part-to-Whole questions.
• object_answer_choices (list[str]): Answer choices for the object_question prompt. Only present for Whole-to-Part and Part-to-Whole questions.
• object_answer_types (list[str]): The correctness of each answer choice in the object_answer_choices field. Only present for Whole-to-Part and Part-to-Whole questions.
• object_answer_classes (list[str]): The object class used for each answer choice in object_answer_choices.