Upload folder using huggingface_hub

docs/placement_asset_notes.md

@@ -0,0 +1,80 @@
+# Placement Task Asset Notes
+
+This repository is intended to support placement-oriented robotics tasks such as:
+
+- placing objects into containers
+- placing tableware or food on plates, trays, counters, and shelves
+- loading objects into articulated fixtures such as dishwashers, drawers, and cabinets
+- composing tabletop or kitchen scenes from reusable object, receptacle, fixture, robot, and environment assets
+
+## Currently available local assets
+
+### RoboCasa
+
+RoboCasa currently contributes dishwasher fixtures:
+
+```text
+assets/robocasa/fixtures/dishwashers/
+assets/robocasa/fixtures/fixture_registry/dishwasher.yaml
+```
+
+These are useful for placement tasks involving loading dishes or objects into a dishwasher.
+
+### DISCOVERSE
+
+DISCOVERSE is imported as a collection-level asset:
+
+```text
+assets/discoverse/models/
+├── mjcf/
+├── meshes/
+└── urdf/
+```
+
+Placement-relevant DISCOVERSE MJCF task/environment files include:
+
+```text
+assets/discoverse/models/mjcf/task_environments/place_block.xml
+assets/discoverse/models/mjcf/task_environments/place_coffeecup.xml
+assets/discoverse/models/mjcf/task_environments/place_jujube.xml
+assets/discoverse/models/mjcf/task_environments/place_jujube_coffeecup.xml
+assets/discoverse/models/mjcf/task_environments/place_kiwi_fruit.xml
+assets/discoverse/models/mjcf/task_environments/place_spoon.xml
+assets/discoverse/models/mjcf/task_environments/coffeecup_plate.xml
+assets/discoverse/models/mjcf/task_environments/stack_block.xml
+```
+
+Placement-relevant DISCOVERSE object assets include bowls, plates, cups, fruit, boxes, baskets, pans, spoons, towels, trashbins, and cabinets under:
+
+```text
+assets/discoverse/models/mjcf/object/
+assets/discoverse/models/meshes/object/
+```
+
+## Candidate external sources
+
+The following sources are recorded as link-only candidates. Do not copy assets from them into this repository until a downstream task actually uses them and the license has been reviewed.
+
+| Source | Link | Placement relevance | Intake rule |
+| --- | --- | --- | --- |
+| MuJoCo Menagerie | https://github.com/google-deepmind/mujoco_menagerie | Robot grippers, robot arms, hands, and robot-ready MJCF assets | Import exact used robot/object model with license and upstream commit. |
+| PartNet-Mobility | https://sapien.ucsd.edu/browse | Articulated cabinets, drawers, doors, and household objects | Import only selected object IDs after checking license and conversion notes. |
+| Objaverse / Objaverse-XL | https://objaverse.allenai.org | Large-scale everyday objects for object placement and scene variety | Import exact used asset IDs with original UID, license, source URL, and conversion pipeline. |
+| Google Scanned Objects | https://app.ignitionrobotics.org/GoogleResearch/fuel/collections/Google%20Scanned%20Objects | Scanned household objects suitable for manipulation and placement | Import exact used model with provider URL and license metadata. |
+| RoboCasa | https://robocasa.ai | Kitchen fixtures, objects, scenes, textures, and placement-style tasks | Import normalized assets under `assets/robocasa/...`. |
+| DISCOVERSE | https://github.com/discoverse-dev/DISCOVERSE | MJCF task environments, manipulation objects, robots, and scenes | Already imported as `assets/discoverse/models/`. |
+
+## Third-party intake checklist
+
+When a placement task uses an external asset:
+
+1. Copy the exact used asset into this repository.
+2. Preserve upstream filenames and relative paths where practical.
+3. Add `metadata.yaml` in the asset directory.
+4. Add one JSONL row to `manifest/assets.jsonl`.
+5. Record license, upstream URL, retrieval date, source asset ID, and conversion steps.
+6. Run:
+
+```bash
+python scripts/validate_asset.py --all
+```

docs/source_notes/hunter.md

@@ -1,9 +1,13 @@
 # Hunter Source Notes
 
-TODO: Fill from the existing source summary.
+Status: link-only placeholder.
+
+Hunter has not been imported into this repository yet. When a Hunter asset is used by a downstream placement task, copy only the exact used asset into this repository and record the source URL, license, source asset ID, retrieval date, and conversion steps.
 
 Use the canonical asset library layout:
 
 ```text
 assets/hunter/<asset_type>/<category>/<asset_id>/
 ```
+
+If Hunter is used as a large upstream tree with internal references, it may be stored as a collection-level import following the same rule used for DISCOVERSE.

docs/source_notes/third_party.md

@@ -2,6 +2,17 @@
 
 Third-party assets should only be copied into this repository when they are actually used by a project, experiment, dataset, or generated scene.
 
+For placement tasks, keep third-party sources as link-only candidates until a concrete asset is used. This avoids redistributing unreviewed assets and keeps license provenance clear.
+
+## Link-only candidate sources
+
+| Source | URL | Typical useful assets | Notes |
+| --- | --- | --- | --- |
+| MuJoCo Menagerie | https://github.com/google-deepmind/mujoco_menagerie | MJCF robot arms, hands, grippers, mobile bases | Good for robot embodiments and manipulation-ready MJCF models. |
+| PartNet-Mobility | https://sapien.ucsd.edu/browse | Articulated cabinets, drawers, doors, appliances, containers | Useful when placement needs articulated receptacles or furniture. Review license per asset/dataset terms before copying. |
+| Objaverse / Objaverse-XL | https://objaverse.allenai.org | Large-scale everyday object meshes | Useful for object variety. Must keep original UID, license, and conversion pipeline. |
+| Google Scanned Objects | https://app.ignitionrobotics.org/GoogleResearch/fuel/collections/Google%20Scanned%20Objects | Scanned household objects | Useful for realistic manipulation objects. Record provider URL and license metadata. |
+
 Required metadata:
 
 - Original URL

docs/source_notes/tinyforge.md

@@ -1,9 +1,13 @@
 # TinyForge Source Notes
 
-TODO: Fill from the existing source summary.
+Status: link-only placeholder.
+
+TinyForge has not been imported into this repository yet. When a TinyForge asset is used by a downstream placement task, copy only the exact used asset into this repository and record the source URL, license, source asset ID, retrieval date, and conversion steps.
 
 Use the canonical asset library layout:
 
 ```text
 assets/tinyforge/<asset_type>/<category>/<asset_id>/
 ```
+
+If TinyForge is used as a large upstream tree with internal references, it may be stored as a collection-level import following the same rule used for DISCOVERSE.