Simplify data layout to task and scene

Online-follow is fixed for the whole dataset. Keep only task and scene as user-facing classification dimensions.

README.md

@@ -1,5 +1,5 @@
 ---
-pretty_name: DOMINO Extended
+pretty_name: DOMINO Extended Online-Follow
 language:
 - en
 license: apache-2.0
@@ -10,66 +10,45 @@ tags:
 - embodied-ai
 - dynamic-manipulation
 - vision-language-action
-- robot-manipulation
 - domino
 - aloha
 - video
 ---
 
-# DOMINO Extended
+# DOMINO Extended: Online-Follow
 
-DOMINO Extended is a versioned collection of curated DOMINO-format robot
-demonstrations spanning multiple tasks, scenarios, collection methods, and motion
-profiles.  Raw HDF5 archives are canonical; derived LeRobot data and runtime caches
-are intentionally kept out of this repository.
+This repository contains online-follow demonstrations for multiple robot tasks.
+Because every entry uses the same follow-style collector, the data hierarchy only
+distinguishes **task** and **scene**.
 
-Current catalog: **1 shards / 50 episodes**.
+Current data: **1 task/scene entries, 50 episodes**.
 
-## Collections
+| Task | Scene | Episodes | Speed (m/s) | Details |
+|---|---|---:|---:|---|
+| `adjust_bottle` | `dynamic-clean` | 50 | 0.040--0.117 | [metadata](./metadata/adjust_bottle_dynamic-clean.json) |
 
-| Collection ID | Task | Scenario | Collector | Episodes | Speed (m/s) | Details |
-|---|---|---|---|---:|---:|---|
-| `adjust_bottle/online_follow/v1/clean/follow_fast/shard-000` | `adjust_bottle` | `clean` | `online_follow/v1` | 50 | 0.040--0.117 | [metadata](./metadata/adjust_bottle/online_follow/v1/clean_follow_fast_shard-000.json) |
-
-The machine-readable index is [`catalog.json`](./catalog.json).  Each entry records
-the artifact path, SHA-256 digest, collection parameters, and metadata path.
-
-## Repository layout
+## Layout
 
 ```text
-dataset/<task>/<collector>/<version>/<embodiment>_<scenario>_<motion>_shard-NNN_<episodes>.zip
-metadata/<task>/<collector>/<version>/<scenario>_<motion>_shard-NNN.json
-provenance/collections/<task>/<collector>/<version>/<scenario>/<motion>/shard-NNN/
+dataset/<task>/<embodiment>_<scene>_<episodes>.zip
+metadata/<task>_<scene>.json
+provenance/<task>_<scene>/
 catalog.json
 ```
 
-## Download one collection
+## Download the current entry
 
 ```bash
-hf download HanningHanning/DOMINO-Extended   dataset/adjust_bottle/online_follow/v1/aloha-agilex_clean_follow_fast_shard-000_50.zip   --repo-type dataset --local-dir DOMINO-Extended
+hf download HanningHanning/DOMINO-Extended   dataset/adjust_bottle/aloha-agilex_dynamic-clean_50.zip   --repo-type dataset --local-dir DOMINO-Extended
 ```
 
-## Current online-follow collection
-
-The first collection contains 50 successful `adjust_bottle` demonstrations.  The
-bottle starts outside the camera view, moves independently, and the expert repeatedly
-observes, approaches, follows, grasps, lifts, and completes the original upright
-placement task.  It does not receive a future object trajectory or a precomputed
-interception point.  All HDF5 episodes, language instructions, traces, camera frames,
-and preview videos passed the repository quality audit; see the collection metadata
-for full statistics.
+The bottle starts outside the camera view and moves independently. The expert
+observes it online, approaches, follows, grasps, lifts, and completes the original
+upright placement task without access to a future object trajectory or a precomputed
+interception point. Raw HDF5 archives are canonical; converted LeRobot copies and
+runtime caches are excluded.
 
 ## License and attribution
 
 Released under Apache-2.0, following the upstream DOMINO repository and dataset.
-If you use this data, cite the DOMINO paper and comply with the licenses of the
-DOMINO simulator and its underlying robot/object assets.
-
-```bibtex
-@article{fang2026towards,
-  title={Towards Generalizable Robotic Manipulation in Dynamic Environments},
-  author={Fang, Heng and Li, Shangru and Wang, Shuhan and Xi, Xuanyang and Liang, Dingkang and Bai, Xiang},
-  journal={arXiv preprint arXiv:2603.15620},
-  year={2026}
-}
-```
+See each metadata file for its integrity checks and provenance snapshot.

catalog.json

@@ -1,17 +1,13 @@
 {
   "schema_version": 1,
   "name": "DOMINO Extended",
-  "description": "Curated multi-task, multi-scenario DOMINO-format manipulation data.",
+  "collection_method": "online_follow",
   "entries": [
     {
-      "id": "adjust_bottle/online_follow/v1/clean/follow_fast/shard-000",
+      "id": "adjust_bottle/dynamic-clean",
       "task": "adjust_bottle",
-      "scenario": "clean",
-      "collector": "online_follow",
-      "collector_version": "v1",
-      "motion_profile": "follow_fast",
+      "scene": "dynamic-clean",
       "embodiment": "aloha-agilex",
-      "shard": 0,
       "episodes": 50,
       "speed_mps": {
         "min": 0.04,
@@ -24,13 +20,13 @@
         "mean": 0.09644049489283639
       },
       "artifact": {
-        "path": "dataset/adjust_bottle/online_follow/v1/aloha-agilex_clean_follow_fast_shard-000_50.zip",
+        "path": "dataset/adjust_bottle/aloha-agilex_dynamic-clean_50.zip",
         "size_bytes": 603007635,
         "sha256": "bffbe20ba8be9e34b81a4e6c11d2435e6640b17918b85a23346f4568460104fe",
         "file_count": 203,
         "internal_root": "aloha-agilex_clean_follow_fast"
       },
-      "metadata_path": "metadata/adjust_bottle/online_follow/v1/clean_follow_fast_shard-000.json",
+      "metadata_path": "metadata/adjust_bottle_dynamic-clean.json",
       "quality_status": "passed"
     }
   ]

metadata/{adjust_bottle/online_follow/v1/clean_follow_fast_shard-000.json → adjust_bottle_dynamic-clean.json}

@@ -1,46 +1,25 @@
 {
   "schema_version": 1,
-  "id": "adjust_bottle/online_follow/v1/clean/follow_fast/shard-000",
-  "format": "DOMINO HDF5 archive",
+  "id": "adjust_bottle/dynamic-clean",
   "task": "adjust_bottle",
-  "scenario": "clean",
-  "collector": "online_follow",
-  "collector_version": "v1",
-  "motion_profile": "follow_fast",
+  "scene": "dynamic-clean",
+  "collection_method": "online_follow",
   "embodiment": "aloha-agilex",
-  "shard": 0,
   "episodes": 50,
-  "source_bytes": 1047858870,
-  "episode_group_counts": {
-    "data": 50,
-    "instructions": 50,
-    "metrics": 50,
-    "video": 50
-  },
+  "format": "DOMINO HDF5 archive",
   "artifact": {
-    "path": "dataset/adjust_bottle/online_follow/v1/aloha-agilex_clean_follow_fast_shard-000_50.zip",
+    "path": "dataset/adjust_bottle/aloha-agilex_dynamic-clean_50.zip",
     "size_bytes": 603007635,
     "sha256": "bffbe20ba8be9e34b81a4e6c11d2435e6640b17918b85a23346f4568460104fe",
     "file_count": 203,
     "internal_root": "aloha-agilex_clean_follow_fast"
   },
-  "provenance_files": {
-    "provenance/collections/adjust_bottle/online_follow/v1/clean/follow_fast/shard-000/collector.py": {
-      "size_bytes": 66930,
-      "sha256": "4a501aeac4ab2643d360fd1ef1815656e969ef9e38049466ec0ac510d52add40"
-    },
-    "provenance/collections/adjust_bottle/online_follow/v1/clean/follow_fast/shard-000/config.yml": {
-      "size_bytes": 5139,
-      "sha256": "70a5f92d88006b27bdc6578df5fd21f6c4dc5a341eb595f1f09b2effc5a7750d"
-    },
-    "provenance/collections/adjust_bottle/online_follow/v1/clean/follow_fast/shard-000/environment.py": {
-      "size_bytes": 8544,
-      "sha256": "bd122764af3f2f3e8b236280983e8949506c5e96b4b9040529812d61ee48f115"
-    },
-    "provenance/collections/adjust_bottle/online_follow/v1/clean/follow_fast/shard-000/instructions.json": {
-      "size_bytes": 2890,
-      "sha256": "3168108cde17a45c0671bda463a46559c4a3e1b0f914324a28c2999b505cf7eb"
-    }
+  "source_bytes": 1047858870,
+  "episode_group_counts": {
+    "data": 50,
+    "instructions": 50,
+    "metrics": 50,
+    "video": 50
   },
   "source_summary_sha256": "7cb74255a3380c5346b548c544a2d89013ec98c5683b3b9d0eef12e7195ceede",
   "source_finalized_at_utc": "2026-07-28T15:28:44.229534+00:00",
@@ -193,6 +172,24 @@
     "step_index_cached": true,
     "lerobot_videos_fully_decoded": 150
   },
+  "provenance_files": {
+    "provenance/adjust_bottle_dynamic-clean/collector.py": {
+      "size_bytes": 66930,
+      "sha256": "4a501aeac4ab2643d360fd1ef1815656e969ef9e38049466ec0ac510d52add40"
+    },
+    "provenance/adjust_bottle_dynamic-clean/config.yml": {
+      "size_bytes": 5139,
+      "sha256": "70a5f92d88006b27bdc6578df5fd21f6c4dc5a341eb595f1f09b2effc5a7750d"
+    },
+    "provenance/adjust_bottle_dynamic-clean/environment.py": {
+      "size_bytes": 8544,
+      "sha256": "bd122764af3f2f3e8b236280983e8949506c5e96b4b9040529812d61ee48f115"
+    },
+    "provenance/adjust_bottle_dynamic-clean/instructions.json": {
+      "size_bytes": 2890,
+      "sha256": "3168108cde17a45c0671bda463a46559c4a3e1b0f914324a28c2999b505cf7eb"
+    }
+  },
   "repository": {
     "commit": "1c215da781d38cd7defe9aac7a0c9eee661e8726",
     "dirty": true,
@@ -209,7 +206,7 @@
   "excluded_derived_data": [
     "ALOHA conversion copy",
     "LeRobot conversion copy",
-    "history optical-flow cache",
+    "optical-flow cache",
     "object-grounding cache"
   ]
 }