{"schema_version":"onlylabs.public_signal.v1","title":"NVIDIA Repo: NVIDIA/DreamDojo","description":"NVIDIA repo signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/5870aa75-c945-4a9d-90a6-e60037e42941","json_url":"https://onlylabs.fyi/signals/5870aa75-c945-4a9d-90a6-e60037e42941/signal.json","generated_at":"2026-06-11T02:53:04.218987+00:00","org":{"slug":"nvidia","name":"NVIDIA","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/nvidia","dossier_json_url":"https://onlylabs.fyi/labs/nvidia/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/5870aa75-c945-4a9d-90a6-e60037e42941","signal_json":"https://onlylabs.fyi/signals/5870aa75-c945-4a9d-90a6-e60037e42941/signal.json","source":"https://github.com/NVIDIA/DreamDojo","lab_dossier":"https://onlylabs.fyi/labs/nvidia","lab_dossier_json":"https://onlylabs.fyi/labs/nvidia/dossier.json","analysis":"https://onlylabs.fyi/analysis/nvidia","analysis_json":"https://onlylabs.fyi/analysis/nvidia/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/nvidia/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":null,"topic_signals_json":null,"topic_feed":null,"data_business":null},"answer_pack":{"answer":"NVIDIA published NVIDIA/DreamDojo (Python). 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NVIDIA/DreamDojo (Python). This repository signal exposes tooling, eval, infrastructure, or model-adjacent work before it may appear in a launch post. 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In short, we made the following key contributions: - **A large-scale video dataset.** 44k hours of diverse human egocentric videos, the largest dataset to date for world model pretraining. - **A foundation world model.** The first robot world model of its kind that demonstrates strong generalization to diverse..."},"evidence_pages":[{"url":"https://github.com/NVIDIA/DreamDojo","final_url":"https://github.com/NVIDIA/DreamDojo","title":"NVIDIA/DreamDojo repository metadata","http_status":200,"content_type":"application/json","capture_method":"plain","fetched_at":"2026-06-11T02:53:04.218987+00:00","bytes":10656,"raw_path":"0525b075d6aead1a4842eac5bc66da27ee41f9b56d0067299f0b54cf2d7a6ef7.json","content_hash":"51b696eb3a097c55b4160b4cf0228fbacf038e07875614295fafea1e18eef89b","excerpt_chars":1200,"truncated":true,"excerpt":"NVIDIA/DreamDojo Description: Official Codebase for \"DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos\" (ICML 2026) Language: Python License: Apache-2.0 Stars: 926 Forks: 59 Open issues: 12 Created: 2026-02-09T14:51:34Z Pushed: 2026-03-21T19:03:33Z Default branch: main Fork: no Archived: no README: <img src=\"assets/banner.gif\" width=\"100%\"/> <div align=\"center\"> <p style=\"font-size: 1.2em;\"> <a href=\"https://dreamdojo-world.github.io/\"><strong>Website</strong></a> | <a href=\"https://arxiv.org/abs/2602.06949\"><strong>Paper</strong></a> | <a href=\"https://huggingface.co/nvidia/DreamDojo\"><strong>Models</strong></a> | <a href=\"https://huggingface.co/datasets/nvidia/PhysicalAI-Robotics-GR00T-Teleop-GR1\"><strong>Datasets</strong></a> </p> </div> 💭 DreamDojo 🔥 Highlights *DreamDojo* is an interactive world model that learns from large-scale human videos. In short, we made the following key contributions: - **A large-scale video dataset.** 44k hours of diverse human egocentric videos, the largest dataset to date for world model pretraining. - **A foundation world model.** The first robot world model of its kind that demonstrates strong generalization to diverse..."}],"related_signals":[{"id":"9c2bf9a4-d1d1-40d5-82e6-f8f753666e51","url":"https://onlylabs.fyi/signals/9c2bf9a4-d1d1-40d5-82e6-f8f753666e51","source_url":"https://github.com/NVIDIA/srt-slurm-recipes","title":"NVIDIA/srt-slurm-recipes","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"nvidia","name":"NVIDIA","category":"frontier-lab"},"occurred_at":"2026-06-06T16:27:18+00:00","first_seen_at":"2026-06-09T07:00:17.261926+00:00","date_source":"source"},{"id":"69994713-c7b8-497a-9632-f22a985e3ab2","url":"https://onlylabs.fyi/signals/69994713-c7b8-497a-9632-f22a985e3ab2","source_url":"https://github.com/NVIDIA/instant-nurec","title":"NVIDIA/instant-nurec","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"nvidia","name":"NVIDIA","category":"frontier-lab"},"occurred_at":"2026-05-22T18:08:59+00:00","first_seen_at":"2026-06-05T20:58:43.255815+00:00","date_source":"source"},{"id":"8e495175-9ea0-4970-8f0c-bce8e6eeddbb","url":"https://onlylabs.fyi/signals/8e495175-9ea0-4970-8f0c-bce8e6eeddbb","source_url":"https://github.com/NVIDIA/nv-config-manager","title":"NVIDIA/nv-config-manager","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"nvidia","name":"NVIDIA","category":"frontier-lab"},"occurred_at":"2026-05-21T20:26:37+00:00","first_seen_at":"2026-06-05T20:58:43.255815+00:00","date_source":"source"},{"id":"20d352e8-82e7-477b-8bdf-923812420180","url":"https://onlylabs.fyi/signals/20d352e8-82e7-477b-8bdf-923812420180","source_url":"https://github.com/NVIDIA/nurec-skills","title":"NVIDIA/nurec-skills","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"nvidia","name":"NVIDIA","category":"frontier-lab"},"occurred_at":"2026-05-20T18:40:04+00:00","first_seen_at":"2026-06-05T20:58:43.255815+00:00","date_source":"source"},{"id":"9ea31493-953e-4b1e-bdf1-e116d282f650","url":"https://onlylabs.fyi/signals/9ea31493-953e-4b1e-bdf1-e116d282f650","source_url":"https://github.com/NVIDIA/cosmos-framework","title":"NVIDIA/cosmos-framework","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"nvidia","name":"NVIDIA","category":"frontier-lab"},"occurred_at":"2026-05-19T16:27:26+00:00","first_seen_at":"2026-06-05T20:58:43.255815+00:00","date_source":"source"},{"id":"6d0e432a-4b75-4cda-880e-54189f717d5b","url":"https://onlylabs.fyi/signals/6d0e432a-4b75-4cda-880e-54189f717d5b","source_url":"https://github.com/NVIDIA/harmonizer","title":"NVIDIA/harmonizer","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"nvidia","name":"NVIDIA","category":"frontier-lab"},"occurred_at":"2026-05-19T15:39:32+00:00","first_seen_at":"2026-06-05T20:58:43.255815+00:00","date_source":"source"}]}