{
 "id": "EpicPinkPenguin/visual_distracting_metaworld",
 "owner": "EpicPinkPenguin",
 "name": "visual_distracting_metaworld",
 "downloads": 12517,
 "likes": 0,
 "last_modified": "2026-09-04T08:07:42.000Z",
 "stated_licence": null,
 "stated_from": "none",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "reinforcement-learning"
 ],
 "citation": "@article{fechner2026segment,\n  title   = {Segment to Focus: Guiding Latent Action Models in the Presence of Distractors},\n  author  = {Fechner, Marcus and Adnan, Hamza and L{\\\"u}th, Constantin C. and Jackson, Matthew T. and Zakharov, Alexey and Z{\\\"o}llner, J. Marius},\n  journal = {arXiv preprint arXiv:2602.02259},\n  year    = {2026},\n  url     = {https://arxiv.org/abs/2602.02259}\n}\n\n@inproceedings{mclean2025metaworld,\n  title     = {Meta-World+: An Improved, Standardized, RL Benchmark},\n  author    = {McLean, Reginald and Chatzaroulas, Evangelos and McCutcheon, Luc and R{\\\"o}der, Frank and Yu, Tianhe and He, Zhanpeng and Zentner, K. R. and Julian, Ryan and Terry, J. K. and Woungang, Isaac and Farsad, Nariman and Castro, Pablo Samuel},\n  booktitle = {Advances in Neural Information Processing Systems, Datasets and Benchmarks Track},\n  year      = {2025}\n}\n\n@article{ponttuset2017davis,\n  title   = {The 2017 DAVIS Challenge on Video Object Segmentation},\n  author  = {Pont-Tuset, Jordi and Perazzi, Federico and Caelles, Sergi and Arbelaez, Pablo and Sorkine-Hornung, Alexander and Van Gool, Luc},\n  journal = {arXiv preprint arXiv:1704.00675},\n  year    = {2017}\n}\n\n@article{ravi2024sam2,\n  title   = {SAM 2: Segment Anything in Images and Videos},\n  author  = {Ravi, Nikhila and Gabeur, Valentin and Hu, Yuan-Ting and Hu, Ronghang and Ryali, Chaitanya and Ma, Tengyu and Khedr, Haitham and R{\\\"a}dle, Roman and Rolland, Chloe and Gustafson, Laura and Mintun, Eric and Pan, Junting and Al",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "801b75c83a2c3f58a3f5b36b4eb6716e0151af51",
 "stated_evidence": "https://huggingface.co/datasets/EpicPinkPenguin/visual_distracting_metaworld/blob/801b75c83a2c3f58a3f5b36b4eb6716e0151af51/README.md",
 "file_evidence": "https://huggingface.co/datasets/EpicPinkPenguin/visual_distracting_metaworld/tree/801b75c83a2c3f58a3f5b36b4eb6716e0151af51",
 "card_nc": false
}