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"name": "ScreenQA",
"release_date": "2026-05-25",
"subsets": {
"main": {
"language": [
"en"
],
"modalities": [
"single_image_start"
],
"task_type": "short_answer_qa",
"score_pipeline": [
"exact-match",
"rule-match"
],
"score_params": {
"string_match": "exact"
},
"score_protocol": {
"reference": "Official google-research-datasets/screen_qa README + code/metrics.py (SQA-Short task): Exact Match and SQuAD-style token F1 against multiple ground-truth answers with SQuAD preprocessing, averaged over samples (also ScreenQA paper arXiv:2209.08199 §metrics). Neither lmms-eval nor VLMEvalKit implements ScreenQA (re-confirmed 2026-07-07: no screenqa task dir in either local clone; only screenspot* grounding tasks exist in lmms-eval).",
"note": "Official headline reports BOTH EM and SQuAD F1; per-sample binary exact matching reproduces EM only — the fractional token-F1 aggregate is not reproduced. Official EM applies SQuAD normalization (lowercase, strip articles/punctuation), which is looser than the scorer's default exact matcher. Published copy is the third-party mirror rootsautomation/RICO-ScreenQA-Short (not the official google-research-datasets release); multi-reference answer lists are preserved. 597/8427 test rows (7.1%) have the single reference '<no answer>'."
},
"prompt_template": "<image>{{ question }}\nAnswer the question using a single word or phrase.",
"mapping_from_source": {
"media": {
"from": "image",
"type": "list",
"min_items": 1,
"max_items": 1
},
"id": {
"from": "screen_id"
},
"question": {
"from": "question"
},
"answer": {
"from": "ground_truth",
"optional": true
},
"source": {
"format": "huggingface",
"url": {
"train": "https://huggingface.co/datasets/rootsautomation/RICO-ScreenQA-Short",
"validation": "https://huggingface.co/datasets/rootsautomation/RICO-ScreenQA-Short",
"test": "https://huggingface.co/datasets/rootsautomation/RICO-ScreenQA-Short"
}
}
},
"prompt_template_source": {
"origin": "fallback",
"reference": "T1",
"notes": "Tier 5: no higher tier publishes a prompt. T1: github.com/google-research-datasets/screen_qa publishes data + metrics-only code/metrics.py (grepped: no prompt strings); T2: no prompt column in rootsautomation/RICO-ScreenQA-Short; T3: no VLMEvalKit screenqa; T4: no lmms-eval tasks/screenqa (clone @047ec52; screenspot* tasks are a different benchmark). Template is the canonical single-image short-answer fallback."
}
}
}
} |