Add PourCup task meshes and verified demonstration assets

task_assets/PourCupAssets.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f27a013b20911fe448d915b22b2208e1fae13567e4ecc39ee634342fad6db578
+size 483350

task_assets/PourCupDemoData.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ea5083eda0768a1d074e1b6573dd011f25f4ba0de141b0ee12878fb06afd725b
+size 30726494

task_assets/README.md

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+# EmbodiChain task assets
+
+Downloadable task bundles used by `embodichain.data.assets.task_assets`. Files preserve their source bytes; sizes and SHA-256 checksums are in [manifest.json](manifest.json).
+
+| Archive | Purpose | MD5 |
+| --- | --- | --- |
+| [PourCupAssets.zip](PourCupAssets.zip) | Five runtime meshes for cup pouring (cup, mug wall, receiver, table, floor). | `f97857b639189be4daf717a873ab84cf` |
+| [PourCupDemoData.zip](PourCupDemoData.zip) | Verified MuJoCo trajectory, SPH reference snapshot, videos, preview images and validation reports. | `8eb96cb756ac08efe403417f50ad2bf2` |
+
+Python examples:
+
+```python
+from embodichain.data import get_data_path
+cup = get_data_path("PourCupAssets/cup.glb")
+trajectory = get_data_path("PourCupDemoData/trajectory.pt")
+```
+
+The current fluid task generates its initial water fill in memory. `particles_30.npz` is historical validation evidence, not an initial-fill asset.
+
+The demo archive preserves provenance reports from their original recordings. Reports are reference evidence, not claims that a later source revision was re-simulated.
+
+Source: [EmbodiChain 0f132ef68](https://github.com/DexForce/EmbodiChain/tree/0f132ef6821915df1ff3ebed73a425b9e8776869).

task_assets/manifest.json

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+    }
+  }
+}