Multimodal STEM problem set for verifiable, answer-supervised training and RL: contains single-image, multi-panel, and multi-image PhD-level questions across physics, math, chemistry and biology. Each example has a deterministic ground-truth answer, enabling reward modeling and automated evaluation.
[next-mdx-remote-client] error compiling MDX: Unexpected character `1` (U+0031) before name, expected a character that can start a name, such as a letter, `$`, or `_` More information: https://mdxjs.com/docs/troubleshooting-mdx
Multimodal real-robot dataset of 28,993 teleoperated bimanual manipulation demonstrations (~300 hours) with synchronized multi-view RGB/tactile videos, 65D robot state/action, 60D fingertip tactile signals, and temporally aligned language segments; intended for imitation, visuomotor and visual‑tactile research, CC BY‑NC 4.0 (non‑commercial).
Benchmark dataset for bilingual (Chinese/English) visual document image editing with 3,506 examples covering 1,578 text edits and 1,928 table edits. Each example pairs input and target images with editing instructions, region masks, and structured annotations for OCR-level evaluation.
Charting engine and interpretation dataset for Zi Wei Dou Shu (Purple Star Astrology): deterministic natal chart algorithm, Four Transformations, pattern rules, and large v3/v4 interpretation datasets. Code MIT and data CC BY 4.0; judgment library and AI backend are closed.
