themohal/saraiki-vqa-dataset

Saraiki VQA + Captioning dataset (strict Jataki dialect, Qwen2-VL format)

Real-world multimodal data in strict Jataki Saraiki, distinguished by a task column:

• task == "vqa": translated from VQAv2 (human-verified English Q&A, real photos)
• task == "caption": translated from COCO-Caption (human-written English captions, same COCO val2014 photos)

Both generated with a task-specific dialect-purity-constrained Gemini prompt, then double-checked by a vision-grounded judge pass against the source image.

Row format (Qwen2-VL conversation style, shared across both tasks):

{"id": ..., "image": <PIL image>, "task": "vqa" | "caption", "conversations": [
    {"from": "human", "value": "<image>
<saraiki question OR fixed describe-image instruction>"},
    {"from": "gpt", "value": "<saraiki answer OR saraiki caption>"}
], "english_question": ..., "english_answer": ..., "judge_score": ..., "source_question_id": ...}

For task == "caption" rows, english_question is always the fixed instruction "Describe this image." and source_question_id is the source COCO image id.

Dialect-purity methodology: generation is constrained against Punjabi/Urdu crossing (banned interrogatives, continuous-action markers, negation forms, spatial vocabulary). VQA rows additionally require one-word English answers to stay one-word Saraiki; caption rows require a full fluent sentence. The judge pass re-applies these same rules plus checks grounding against the actual image. Accept threshold: 90/100 (>= 78 triggers up to 2 repair attempts, otherwise discarded).

Licensing note: source photographs are VQAv2/COCO-Caption images (both built on COCO val2014). COCO annotations are CC BY 4.0; underlying photographs carry individual Flickr photographers' licenses. Built for personal/research use; not a blanket license for commercial redistribution of the underlying photos.