XDUImageLab/SandThink
SandThink Dataset (v1.0) SandThink 是一个专为具身智能 (Embodied AI) 任务设计的大规模指令微调与偏好对齐数据集。该数据集通过结构化的 Chain-of-Thought (CoT) 推理过程,显著提升了 Vision-Language-Action (VLA) 模型在复杂环境下的任务拆解、路径规划和动作执行能力。 📊 数据集概览 (Dataset Summary) 本数据集包含三个核心组件,总计约 37,000 条高质量数据: 文件名 类型 规模 说明 Mars_CoT.jsonl SFT / CoT ~17,000 条 针对特定复杂环境(如类地/火星沙盘)的高级推理数据。 iter_DPO_data.jsonl DPO / RLHF ~16,000 条 包含 Chosen 和 Rejected 的偏好对,用于模型对齐与优化。 train_CoT.jsonl SFT / CoT ~4,000 条 基础任务的思维链训练数据,涵盖避障、导航等指令。… See the full description on the dataset page: https://huggingface.co/datasets/XDUImageLab/SandThink.
| Author / organization | XDUImageLab |
|---|---|
| License (as declared) | mit |
| Downloads | 338 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 4 March 2026 |
| Last updated at source | 5 March 2026 |
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