Provides 2,000 hours of synchronized, high‑fidelity robot‑free bimanual manipulation demonstrations with multi‑view video, calibrated end‑effector trajectories, gripper states, and language annotations. Curated from a 20,000+ hour corpus; features 6 camera views, ~3 mm pose accuracy, <40 µs cross‑sensor sync, and LeRobot v3‑style Parquet+MP4 export under CC BY 4.0.
[next-mdx-remote-client] error compiling MDX: Unexpected character `4` (U+0034) before name, expected a character that can start a name, such as a letter, `$`, or `_` More information: https://mdxjs.com/docs/troubleshooting-mdx
Provides a large-scale, multi-speaker Persian speech–text corpus constructed from audiobooks for TTS, ASR, and speaker research. Includes automated alignment and quality scoring, TTS-ready subsets (thousands of hours/1M+ segments) and metadata for speaker IDs and genders — suitable for multi-speaker synthesis and voice cloning research.
Provides large-scale mathematical problem-solving, rewriting, and dialogue data organized into five Parquet-backed subsets for reasoning-oriented language-model training. Subsets support streaming access, Dataset Viewer inspection, and per-subset provenance metadata; licensed Apache 2.0.
A multiple-choice benchmark for evaluating LLM understanding in Traditional Chinese across 66 subjects (elementary to professional). Contains ~22K verified questions covering STEM, humanities, social sciences and Taiwan-specific topics, with standardized splits and model leaderboards under an MIT license.
