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---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: Question
    dtype: string
  - name: Answer
    dtype: string
  - name: Short Answer
    dtype: string
  - name: English Question
    dtype: string
  - name: English Answer
    dtype: string
  - name: English short answer
    dtype: string
  - name: pdf_extract_texts
    dtype: string
  splits:
  - name: test
    num_bytes: 12713735
    num_examples: 54
  download_size: 11192786
  dataset_size: 12713735
configs:
- config_name: default
  data_files:
  - split: test
    path: data/test-*
task_categories:
- visual-question-answering
language:
- hu
- en
size_categories:
- n<1K
---
# HuDocVQA-manual
54 images from Common Crawl annotated by humans with questions and answers in Hungarian, as featured in our paper "Synthetic Document Question Answering in Hungarian". 

Performance of recent VLMs on this dataset are as follows:

| Model                          | Accuracy |
|-------------------------------|----------|
| gpt4o-2024-11-20              | 0.667    |
| claude_37_sonnet_20250219     | 0.630    |
| Qwen2.5-VL-72B-Instruct       | 0.611    |
| Llama-3.2-90B-Vision-Instruct | 0.481    |

See the other datasets from the paper:
- HuDocVQA (https://huggingface.co/datasets/jlli/HuDocVQA)
- HuCCPDF (https://huggingface.co/datasets/jlli/HuCCPDF)

Re-uploaded from original location at https://huggingface.co/datasets/EtashGuha/HungarianDocQA