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README.md

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----
-dataset_info:
-  features:
-  - name: image
-    dtype: image
-  - name: question_id
-    dtype: string
-  - name: question
-    dtype: string
-  - name: answer
-    dtype: string
-  - name: source
-    dtype: string
-  - name: eval_type
-    dtype: string
-  - name: relation_type
-    dtype: string
-  configs:
-  - config_name: default
-    data_files:
-    - split: train
-      path: data-*.parquet
-license: cc-by-4.0
-task_categories:
-- visual-question-answering
-language:
-- en
-tags:
-- visual-relation
-- spatial-relation
-- action-relation
-- comparative-relation
-- dall-e
-size_categories:
-- 1K<n<10K
----
-
-# MMRel
-
-Multimodal visual relation benchmark with 3,613 Dall-E generated image-question pairs testing action, spatial, and comparative relations. Each image is synthesized in multiple artistic styles (photo-realistic, watercolor, abstract, oil painting).
-
-Note: The full MMRel benchmark also includes Visual Genome and SPEC (SDXL) images, which require separate download from their respective sources.
-
-## Fields
-
-| Field | Description |
-|-------|-------------|
-| image | Dall-E synthesized image |
-| question_id | Unique question identifier |
-| question | Relation question (yes/no or open-ended) |
-| answer | Ground truth answer |
-| source | Image source (dall-e) |
-| eval_type | discriminative / generative |
-| relation_type | dall-e_action / dall-e_spatial |
-
-## Evaluation
-
-```
-Discriminative: "Does {relation} exist? Please answer with one word."
-  metrics: Accuracy, Precision, Recall, F1
-  parser: yes/no binary
-
-Generative: "What is the {relation_type} between {obj1} and {obj2}?"
-  metrics: Relation extraction accuracy
-  parser: free-text matching
-```
-
-## Source
-
-Original data from [MMRel](https://huggingface.co/datasets/Jingkang50/MMRel) (arXiv 2024).

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