Use embedded image media preview for Dataset Viewer

README.md

@@ -27,21 +27,21 @@ configs:
   default: true
   data_files:
   - split: "easy"
-    path: "splits/easy.csv"
+    path: "splits/easy.parquet"
   - split: "medium"
-    path: "splits/medium.csv"
+    path: "splits/medium.parquet"
   - split: "hard"
-    path: "splits/hard.csv"
+    path: "splits/hard.parquet"
 - config_name: media_preview
-  description: "Data Studio table with one video-layout RGB/depth/mask preview still per MOS phase."
+  description: "Data Studio media table with one video-layout RGB/depth/mask image preview per MOS phase."
   data_files:
   - split: "preview"
-    path: "preview/data_studio_preview.csv"
+    path: "preview/media_preview.parquet"
 - config_name: single_object
   description: "SOS selected-object catalog; one 360 collection per object, no difficulty split."
   data_files:
   - split: "objects"
-    path: "manifest/selected_sos_objects_v1.csv"
+    path: "manifest/selected_sos_objects_v1.parquet"
 ---
 
 # RPX: Robot Perception X
@@ -68,8 +68,8 @@ Scene renames are documented in `manifest/scene_name_mapping_v1.csv`,
 mapping original scene names to `scene001` through `scene100`.
 
 The Hugging Face Dataset Viewer exposes `multi_object` as structured split
-tables and includes a `media_preview` config with one video-layout RGB, depth,
-and mask preview still for each MOS phase.
+tables and includes a `media_preview` config with an actual image media column:
+one video-layout RGB, depth, and mask preview still for each MOS phase.
 
 ## Effort-Stratified Difficulty (ESD)
 
@@ -105,10 +105,10 @@ the other 25 features each carry weight `0.03`.
 | motion and trajectory | `trans_mean`, `trans_p90`, `rot_mean`, `rot_p90`, `jerk` |
 | fisheye quality | `fisheye_dark`, `fisheye_bright`, `fisheye_sharpness`, `fisheye_corr`, `fisheye_texture` |
 
-The split CSVs include the final `rpx_ds`, `difficulty`, `scene_tier`, and
+The split tables include the final `rpx_ds`, `difficulty`, `scene_tier`, and
 `scene_score` fields for Dataset Viewer filtering. Raw per-feature values are
-not duplicated in those CSVs; `splits/scene_splits.json` is the source of truth
-for the score/tier assignments and the feature/weight provenance.
+not duplicated in those tables; `splits/scene_splits.json` is the source of
+truth for the score/tier assignments and the feature/weight provenance.
 
 ## Modality inventory
 
@@ -159,6 +159,7 @@ IRVLUTD/RPX/
 │   ├── frames_v1.parquet                 # per-frame metadata
 │   ├── scene_name_mapping_v1.csv         # original scene names to scene001..scene100
 │   ├── selected_sos_objects_v1.csv       # selected 70-object SOS catalog
+│   ├── selected_sos_objects_v1.parquet   # Dataset Viewer SOS catalog table
 │   ├── object_catalog_v1.json            # SOS object/global-ID catalog
 │   ├── mos_raw_mask_object_map_v1.csv    # MOS local mask IDs from sam2 metadata
 │   ├── mos_mask_object_map_v1.csv        # MOS local mask IDs joined to SOS global IDs
@@ -167,10 +168,12 @@ IRVLUTD/RPX/
 ├── splits/
 │   ├── scene_splits.json
 │   ├── easy.txt  medium.txt  hard.txt      # phase-level split IDs
-│   └── easy.csv  medium.csv  hard.csv      # Dataset Viewer split tables
+│   ├── easy.csv  medium.csv  hard.csv      # human-readable split tables
+│   └── easy.parquet  medium.parquet  hard.parquet  # Dataset Viewer split tables
 ├── preview/
-│   ├── data_studio_preview.csv             # Dataset Viewer media-link table
-│   └── image_examples/preview/             # video-layout RGB/depth/mask preview images
+│   ├── media_preview.parquet               # Dataset Viewer image media table
+│   ├── data_studio_preview.csv             # preview index with source shard links
+│   └── image_examples/preview/             # source JPEGs for the media preview
 ├── scenes/<scene_id>/<phase>/                     # MOS
 │   ├── rgb.tar  depth.tar  fisheye.tar
 │   └── labels/{cam_pose,masks,masks_aux,sam2_meta}/v1.tar

manifest/selected_sos_objects_v1.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e6b448b0777b2afb771f6394cab37c2681cbafe18404003299e6a69d621d983b
+size 8762

preview/media_preview.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b7e0c9820c0158d34b5a125775a4d815bfba7688374ce7571098b43e037e288b
+size 33355185

splits/easy.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6c9e98f9335623e323fdebfcce1b62602c059e037474494ab74413e65ad3618a
+size 7564

splits/hard.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:78a5a34fe49ad71479f3d4f2297794bad3135bdd492bc5945d95d4b69673b657
+size 7483

splits/medium.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f0fac96d73109a94cb1a4fbf5a284b823728e6aeed755b9246ed5d5590eff167
+size 7624