{
 "id": "kine2go-review/kine2go",
 "owner": "kine2go-review",
 "name": "kine2go",
 "downloads": 585,
 "likes": 0,
 "last_modified": "2026-09-26T08:26:11.000Z",
 "stated_licence": "other",
 "stated_from": "tag",
 "licence_name": "multi-license-see-card",
 "licence_link": "LICENSE",
 "file_licence": "cc-by-nc-4.0",
 "licence_files": [
  "LICENSE"
 ],
 "sources": [],
 "gated": false,
 "tasks": [
  "robotics",
  "reinforcement-learning"
 ],
 "citation": "% AI4Animation - applies to ai4_dog_* and ai4_dog_synth_*\n@article{zhang2018modeadaptive,\n  title   = {Mode-Adaptive Neural Networks for Quadruped Motion Control},\n  author  = {Zhang, He and Starke, Sebastian and Komura, Taku and Saito, Jun},\n  journal = {ACM Transactions on Graphics},\n  year    = {2018}\n}\n\n% Vienna Horse Data Collection - applies to vhdc_horse1_*\n@misc{vhdc,\n  title = {Vienna Horse Data Collection (VHDC)},\n  url   = {https://horse.cs.uni-bonn.de/vhdc-home.html}\n}\n\n% cassi - applies to solo8_*\n@inproceedings{li2023versatile,\n  title     = {Versatile Skill Control via Self-supervised Adversarial Imitation of Unlabeled Mixed Motions},\n  author    = {Li, Chenhao and Blaes, Sebastian and Kolev, Pavel and Vlastelica, Marin and Frey, Jonas and Martius, Georg},\n  booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},\n  year      = {2023}\n}",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "bb0f40cfdc83517a8d5d2e43b34c655f79890365",
 "stated_evidence": "https://huggingface.co/datasets/kine2go-review/kine2go/blob/bb0f40cfdc83517a8d5d2e43b34c655f79890365/README.md",
 "file_evidence": "https://huggingface.co/datasets/kine2go-review/kine2go/blob/bb0f40cfdc83517a8d5d2e43b34c655f79890365/LICENSE",
 "card_nc": false
}