All datasets / Despaireyes613
Despaireyes613/learning-without-looking
The custom licence described in the dataset card and the licence detected in a repository file (apache-2.0) fall into different categories, so the licences may conflict.
- Declared licence
- other, from the tagEvidence: README.md at 633bb19
- Licence name on the card
- mixed, link: LICENSEEvidence: README.md at 633bb19
- Licence files
LICENSE, detected asapache-2.0Evidence: LICENSE at 633bb19- Declared sources
- None listed in the card metadata
- Access gated on Hugging Face
- No
Tasks
Citation text from the card
- The constructed scenes, the grounding instruments and the per-item outputs are released under Apache-2.0. - Geometry3K (MIT) supplies the Geometry3K rows and images. - ViRL39K (MIT) supplies the ViRL39K rows, including items whose source is MMK12 (Apache-2.0). The full ViRL39K image pool is not redistributed: the training rows record each image's SHA-256, and the code repository explains how to place the upstream images. Only the 4,096-image audit sample (4,096 items, 4,297 images) is included. - **Built with Qwen.** The 72B captions were generated by Qwen2.5-VL-72B-Instruct and carry the Qwen License. The 3B captions were generated by Qwen2.5-VL-3B-Instruct and carry the Qwen Research License, which restricts them to non-commercial use. - The checkpoint is a fine-tune of Qwen2.5-VL-7B-Instruct (Apache-2.0). - Benchmark data used in the audit (MMVP, BLINK, MathVerse, MMMU, HallusionBench, MathVista, MMStar) is not included; it is read through VLMEvalKit under each benchmark's own terms. - `predictions/necessity_audit_cross_family` holds the answers of Gemma-3-12B-it and InternVL3-9B on the ViRL39K audit sample and on the grounding suite and twin, which are subject to those models' terms.
The same facts for your agent
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dataset_licence({ "id": "Despaireyes613/learning-without-looking" })
signal: "conflict"
stated_licence: "other"
sources: 0