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dataset_info:
features:
- name: image_id
dtype: string
- name: image
dtype: image
- name: instance_idx
dtype: int64
- name: question
dtype: string
- name: answer
dtype: string
- name: instance_triplet
dtype: string
- name: triplets
dtype: string
- name: all_object
dtype: string
- name: object
dtype: string
splits:
- name: train
num_examples: 1226
---
# Tri-HE
A triplet-based hallucination evaluation dataset for visual question answering. Contains 1226 flattened question-answer instances across 300 images. Each row includes the question, answer, and associated knowledge triplets (both instance-level and image-level) encoded as JSON strings. The triplets capture subject-predicate-object relationships used to probe visual hallucination.
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