Datasets:
Additional Derivative Annotation Contribution Terms (Supplement to CC BY-SA 4.0)
This dataset is licensed under CC BY-SA 4.0 as the primary legal license. By downloading, accessing, modifying, annotating, training with this dataset, you agree to the following supplementary community contribution rules:
Attribution Obligation
Any academic publication, technical report, commercial product, model release trained or built upon this dataset must cite our original paper. Unauthorized use without formal citation is a violation of usage terms.
Derivative Annotation Feedback Requirement
If you perform any derivative annotation based on this dataset, including but not limited to bounding box labeling, point annotation, category correction, data cleaning, sample expansion, label refinement:
- No matter whether your annotated derivative dataset is publicly released (Hugging Face, GitHub, public cloud) OR used strictly for internal corporate research & development without external distribution;
- You are required to submit your annotated derivative dataset, labeling guidelines or standardized annotation specification back to this repository via PR.
- The contributed derivative data will be open-shared within the community to reduce redundant labeling costs.
Commercial Use Restriction for Non-contributing Parties
Commercial profit-making using this dataset and its derivatives is permitted under CC BY-SA 4.0. If a user gains substantial commercial revenue relying on this dataset but refuses to share derivative annotations back to the community in good faith, we reserve the right to issue public academic statement to disclose non-cooperative behavior, and report license violation to Hugging Face Hub administration for access restriction if applicable.
License Priority
In case of conflict between supplementary terms and CC BY-SA 4.0 official legal text, the official CC BY-SA 4.0 legal license shall prevail for copyright and distribution compliance.
衍生标注社区回馈补充约定(基于 CC BY-SA 4.0 基础协议)
本数据集基础开源许可为 知识共享署名-相同方式共享 4.0 国际协议(CC BY-SA 4.0),下载、使用、修改本数据集即代表您同意以下附加共建条款:
署名引用义务
所有基于本数据集训练模型、发表论文、商用落地、开源模型,必须规范引用本数据集配套学术论文,未合规引用属于违规使用。
二次标注回馈要求
凡基于本数据集开展画框标注、分割 mask 标注、类别修正、数据清洗、标签扩充、样本增广等任意衍生标注行为:
- 无论标注后的衍生数据集是公开上传至 Hugging Face、GitHub 等公开平台,还是仅用于企业内部研发、不对外分发,均需要将完整标注数据集、标注规范文档通过仓库 PR 提交,纳入社区公开共享,避免重复标注浪费科研资源。
商用约束
本协议允许合法商业用途;若主体依托本数据集获得大额商业收益,但拒不履行社区回馈义务、拒绝共享衍生标注成果,我方保留公开学术公示、向 Hugging Face 平台举报违规使用、在学术范围内公开谴责的权利。
法律效力优先级
补充约定与 CC BY-SA 4.0 官方法律条文冲突时,以 CC BY-SA 4.0 官方法律条款作为版权分发判定依据。
Thyroid Ultrasound Dataset - Usage Information
Based on this thyroid ultrasound dataset, we developed and released EchoVLM-Thyroid-9B, a specialized MLLM tailored exclusively for thyroid ultrasound image interpretation. The full model weights are publicly available at: https://huggingface.co/chaoyinshe/EchoVLM-Thyroid-9B. Relevant technical reports are coming soon, and the text labels and corresponding benchmarks will be open-sourced after paper acceptance.
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