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README.md

@@ -1,22 +1,51 @@
 ---
-dataset_info:
-  features:
-  - name: row_id
-    dtype: string
-  - name: start_frame
-    dtype: image
-  - name: action_sequence
-    list:
-      list: float32
-  splits:
-  - name: train
-    num_bytes: 1233792
-    num_examples: 16
-  download_size: 1250605
-  dataset_size: 1233792
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+license: cc-by-4.0
+pretty_name: Dream Engine — example frames
+size_categories:
+  - n<1K
+task_categories:
+  - video-generation
+tags:
+  - synthetic
+  - test-fixture
+  - dream-engine
+annotations_creators:
+  - machine-generated
 ---
+
+# Dream Engine — example frames
+
+Tiny synthetic test fixture used by the
+[Dream Engine](https://dreamlabs.ai) Python SDK's ``dream.io`` module.
+**This is not real teleop data** — start frames are colour gradients
+and action sequences are uniform random in ``[-1, 1]``. The only
+purpose is to give the bulk-inference docs + tests a real public
+dataset to point ``frames_from_hf(...)`` at.
+
+## Layout
+
+| field | type | shape | content |
+|---|---|---|---|
+| ``row_id`` | string | — | ``synth_000`` – ``synth_015`` |
+| ``start_frame`` | Image | 480 × 640 RGB | gradient |
+| ``action_sequence`` | sequence-of-sequences[float32] | (48, 384) | random uniform |
+
+## Used by
+
+- The
+  [Bulk inference](https://dreamlabs.ai/docs/getting-started/bulk-inference)
+  quickstart in the Dream Engine docs.
+- The
+  [Bulk augmentation example](https://dreamlabs.ai/docs/examples/bulk-augment-gr1)
+  walkthrough + companion Colab notebook.
+- ``test_io_hf.py`` in the dream-engine SDK test suite.
+
+## Replace this with your own data
+
+Each row's ``start_frame`` should be a real RGB starting frame for the
+spec you target (480 × 640 for ``dreamdojo-2b-gr1``); each
+``action_sequence`` should be a real action sequence shaped
+``(T, action_dim)`` matching the spec's expected control space.
+
+Generated by ``scripts/seed_example_dataset.py`` in the
+``dream-engine`` repo.