README.md

metadata

dataset_info:
  - config_name: Empathetic_Captioning
    features:
      - name: ID
        dtype: string
      - name: image
        dtype: image
      - name: social_attribute
        dtype: string
      - name: simple_prompt
        dtype: string
      - name: empathic_prompt
        dtype: string
    splits:
      - name: train
        num_bytes: 5064542
        num_examples: 204
    download_size: 4980082
    dataset_size: 5064542
  - config_name: Image_Resilience
    features:
      - name: ID
        dtype: string
      - name: attack_type
        dtype: string
      - name: image
        dtype: image
      - name: Attribute
        dtype: string
      - name: Question
        dtype: string
      - name: Answer
        dtype: string
    splits:
      - name: train
        num_bytes: 13954350
        num_examples: 1500
    download_size: 12590814
    dataset_size: 13954350
  - config_name: Instance_Identity
    features:
      - name: ID
        dtype: string
      - name: image
        dtype: image
      - name: Attribute
        dtype: string
      - name: Question
        dtype: string
      - name: Answer
        dtype: string
    splits:
      - name: train
        num_bytes: 12066443
        num_examples: 1343
    download_size: 10907623
    dataset_size: 12066443
  - config_name: Multilingual_CloseEnded
    features:
      - name: ID
        dtype: string
      - name: image
        dtype: image
      - name: Attribute
        dtype: string
      - name: Question
        dtype: string
      - name: Options
        dtype: string
      - name: Answer
        dtype: string
      - name: Reasoning
        dtype: string
    splits:
      - name: train
        num_bytes: 51228680
        num_examples: 625
    download_size: 50857340
    dataset_size: 51228680
  - config_name: Multilingual_OpenEnded
    features:
      - name: ID
        dtype: string
      - name: image
        dtype: image
      - name: Attribute
        dtype: string
      - name: Question
        dtype: string
      - name: Answer
        dtype: string
    splits:
      - name: train
        num_bytes: 5507897
        num_examples: 625
    download_size: 5000097
    dataset_size: 5507897
  - config_name: Multiple_Choice_VQA
    features:
      - name: ID
        dtype: string
      - name: image
        dtype: image
      - name: Attribute
        dtype: string
      - name: Question
        dtype: string
      - name: Options
        dtype: string
      - name: Answer
        dtype: string
      - name: Reasoning
        dtype: string
    splits:
      - name: train
        num_bytes: 128839429
        num_examples: 1844
    download_size: 127658673
    dataset_size: 128839429
  - config_name: Scene_Understanding
    features:
      - name: ID
        dtype: string
      - name: image
        dtype: image
      - name: Attribute
        dtype: string
      - name: version_type
        dtype: string
      - name: Question
        dtype: string
      - name: Answer
        dtype: string
    splits:
      - name: train
        num_bytes: 122328629
        num_examples: 13668
    download_size: 109845740
    dataset_size: 122328629
  - config_name: Visual_Grounding
    features:
      - name: ID
        dtype: string
      - name: image
        dtype: image
      - name: question
        dtype: string
      - name: bbox
        list: float64
    splits:
      - name: train
        num_bytes: 33346641
        num_examples: 285
    download_size: 33310075
    dataset_size: 33346641
configs:
  - config_name: Empathetic_Captioning
    data_files:
      - split: train
        path: Empathetic_Captioning/train-*
  - config_name: Image_Resilience
    data_files:
      - split: train
        path: Image_Resilience/train-*
  - config_name: Instance_Identity
    data_files:
      - split: train
        path: Instance_Identity/train-*
  - config_name: Multilingual_CloseEnded
    data_files:
      - split: train
        path: Multilingual_CloseEnded/train-*
  - config_name: Multilingual_OpenEnded
    data_files:
      - split: train
        path: Multilingual_OpenEnded/train-*
  - config_name: Multiple_Choice_VQA
    data_files:
      - split: train
        path: Multiple_Choice_VQA/train-*
  - config_name: Scene_Understanding
    data_files:
      - split: train
        path: Scene_Understanding/train-*
  - config_name: Visual_Grounding
    data_files:
      - split: train
        path: Visual_Grounding/train-*

Humanibench_Greek

This dataset is a Greek translation of HumaniBench, a human-centered benchmark for evaluating Large Multimodal Models.

The goal of this version is to make HumaniBench usable as an evaluation benchmark for Greek-capable Vision-Language Models.

Dataset Description

The dataset keeps the same task structure as the original HumaniBench dataset. The text fields have been translated into Greek.

HumaniBench contains multiple multimodal evaluation tasks, including visual question answering, multiple-choice VQA, multilingual QA, visual grounding and empathetic captioning.

Available Tasks

The translated dataset follows the same task subsets as the original dataset:

• Scene_Understanding
• Instance_Identity
• Multiple_Choice_VQA
• Multilingual_OpenEnded
• Multilingual_CloseEnded
• Visual_Grounding
• Empathetic_Captioning
• Image_Resilience

Intended Use

This dataset is intended for evaluating Vision-Language Models on human-centered multimodal tasks in Greek.

It can be used to test whether a model can understand images, answer questions, reason about visual content, handle multiple-choice prompts, and remain robust across different human-centered evaluation settings.

Citation

Please cite the original HumaniBench paper when using this dataset:

@article{raza2025humanibench,
  title={HumaniBench: A Human-Centric Framework for Large Multimodal Models Evaluation},
  author={Raza, Shaina and Narayanan, Aravind and Khazaie, Vahid Reza and Vayani, Ashmal and Chettiar, Mukund S. and Singh, Amandeep and Shah, Mubarak and Pandya, Deval},
  journal={arXiv preprint arXiv:2505.11454},
  year={2025}
}