{
 "id": "benchmarkanon/logic_conflict",
 "owner": "benchmarkanon",
 "name": "logic_conflict",
 "downloads": 118,
 "likes": 0,
 "last_modified": "2026-09-26T10:35:28.000Z",
 "stated_licence": "other",
 "stated_from": "tag",
 "licence_name": "logiccon-and-upstream-terms",
 "licence_link": "LICENSE.md",
 "file_licence": "cc-by-4.0",
 "licence_files": [
  "LICENSE.md"
 ],
 "sources": [],
 "gated": false,
 "tasks": [
  "visual-question-answering"
 ],
 "citation": "GQA: Drew A. Hudson and Christopher D. Manning, *GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering*, CVPR 2019. [Paper](https://arxiv.org/abs/1902.09506), [official source](https://cs.stanford.edu/people/dorarad/gqa/download.html).\n\nVisual Genome: Ranjay Krishna and collaborators, *Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations*. [Paper](https://arxiv.org/abs/1602.07332), [official project mirror](https://homes.cs.washington.edu/~ranjay/visualgenome/).\n\nScreening model: [Qwen/Qwen2.5-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct). Model weights are not distributed here.\n\nSee [LICENSE.md](LICENSE.md) for the distinction between new annotations/code and upstream material. Authorship of this benchmark is withheld during anonymous review; upstream credit is retained. [ANONYMITY.md](ANONYMITY.md) describes the scope of the publication checks. This release contains no paper PDF or claimed large-model evaluation results.",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "916e5521a991ba0e32891ae9cda4a9ed5bdf58ce",
 "stated_evidence": "https://huggingface.co/datasets/benchmarkanon/logic_conflict/blob/916e5521a991ba0e32891ae9cda4a9ed5bdf58ce/README.md",
 "file_evidence": "https://huggingface.co/datasets/benchmarkanon/logic_conflict/blob/916e5521a991ba0e32891ae9cda4a9ed5bdf58ce/LICENSE.md",
 "card_nc": false
}