Update README.md

README.md

@@ -150,7 +150,7 @@ overhead and a wrist camera at 640 × 480 / 30 fps.
 | **Task families** | 5 |
 | **Robot embodiments** | 1 |
 | **Average duration/dataset** | 0.38 hours |
-| **Approved datasets** | 19 of 24 |
+| **OK datasets** | 19 of 24 |
 
 Durations are computed as `total_frames / fps` from each dataset's `meta/info.json`,
 so they reflect the current contents of each repo after episode pruning.
@@ -198,29 +198,29 @@ when using this collection.
 | # | Folder | Task | Episodes | Frames | Duration | FPS | Review | Source |
 |---|---|---|---|---|---|---|---|---|
 | 1 | `Eraser_drawer` | Pick and place | 100 | 79,890 | 00:44:23 | 30 | fix required | [Eraser_drawer](https://huggingface.co/datasets/NIATphysicalAI/Eraser_drawer) |
-| 2 | `Battery_sort` | Sorting | 106 | 93,878 | 00:52:09 | 30 | Approved | [Battery_sort](https://huggingface.co/datasets/NIATphysicalAI/Battery_sort) |
-| 3 | `Battery_sort_v1` | Sorting | 7 | 5,681 | 00:03:09 | 30 | Approved | [Battery_sort_v1](https://huggingface.co/datasets/NIATphysicalAI/Battery_sort_v1) |
-| 4 | `drawer_cube_screwdriver` | Pick and place | 101 | 54,895 | 00:30:30 | 30 | Approved | [drawer_cube_screwdriver](https://huggingface.co/datasets/NIATphysicalAI/drawer_cube_screwdriver) |
-| 5 | `Drawer_screwdriver_v2` | Pick and place | 51 | 30,709 | 00:17:04 | 30 | Approved | [Drawer_screwdriver_v2](https://huggingface.co/datasets/NIATphysicalAI/Drawer_screwdriver_v2) |
-| 6 | `Drawer_screwdriver` | Pick and place | 34 | 23,221 | 00:12:54 | 30 | Approved | [Drawer_screwdriver](https://huggingface.co/datasets/NIATphysicalAI/Drawer_screwdriver) |
-| 7 | `screwdriver_box` | Pick and place | 47 | 27,536 | 00:15:18 | 30 | fix required | [screwdriver_box](https://huggingface.co/datasets/NIATphysicalAI/screwdriver_box) |
-| 8 | `screwdriver_box_v1` | Pick and place | 20 | 13,829 | 00:07:41 | 30 | fix required | [screwdriver_box_v1](https://huggingface.co/datasets/NIATphysicalAI/screwdriver_box_v1) |
-| 9 | `screwdriver_box_v0` | Pick and place | 10 | 7,498 | 00:04:10 | 30 | Approved | [screwdriver_box_v0](https://huggingface.co/datasets/NIATphysicalAI/screwdriver_box_v0) |
+| 2 | `Battery_sort` | Sorting | 106 | 93,878 | 00:52:09 | 30 | OK | [Battery_sort](https://huggingface.co/datasets/NIATphysicalAI/Battery_sort) |
+| 3 | `Battery_sort_v1` | Sorting | 7 | 5,681 | 00:03:09 | 30 | OK | [Battery_sort_v1](https://huggingface.co/datasets/NIATphysicalAI/Battery_sort_v1) |
+| 4 | `drawer_cube_screwdriver` | Pick and place | 101 | 54,895 | 00:30:30 | 30 | OK | [drawer_cube_screwdriver](https://huggingface.co/datasets/NIATphysicalAI/drawer_cube_screwdriver) |
+| 5 | `Drawer_screwdriver_v2` | Pick and place | 51 | 30,709 | 00:17:04 | 30 | OK | [Drawer_screwdriver_v2](https://huggingface.co/datasets/NIATphysicalAI/Drawer_screwdriver_v2) |
+| 6 | `Drawer_screwdriver` | Pick and place | 34 | 23,221 | 00:12:54 | 30 | OK | [Drawer_screwdriver](https://huggingface.co/datasets/NIATphysicalAI/Drawer_screwdriver) |
+| 7 | `screwdriver_box` | Pick and place | 47 | 27,536 | 00:15:18 | 30 | OK | [screwdriver_box](https://huggingface.co/datasets/NIATphysicalAI/screwdriver_box) |
+| 8 | `screwdriver_box_v1` | Pick and place | 20 | 13,829 | 00:07:41 | 30 | OK | [screwdriver_box_v1](https://huggingface.co/datasets/NIATphysicalAI/screwdriver_box_v1) |
+| 9 | `screwdriver_box_v0` | Pick and place | 10 | 7,498 | 00:04:10 | 30 | OK | [screwdriver_box_v0](https://huggingface.co/datasets/NIATphysicalAI/screwdriver_box_v0) |
 | 10 | `stack_cubes` | Stacking | 58 | 30,806 | 00:17:07 | 30 | Re-record | [stack_cubes](https://huggingface.co/datasets/NIATphysicalAI/stack_cubes) |
-| 11 | `eraser` | Pick and place | 60 | 26,893 | 00:14:56 | 30 | Approved | [eraser](https://huggingface.co/datasets/NIATphysicalAI/eraser) |
+| 11 | `eraser` | Pick and place | 60 | 26,893 | 00:14:56 | 30 | OK | [eraser](https://huggingface.co/datasets/NIATphysicalAI/eraser) |
 | 12 | `cube` | Stacking | 54 | 25,595 | 00:14:13 | 30 | fix required | [cube](https://huggingface.co/datasets/NIATphysicalAI/cube) |
-| 13 | `stapler` | Pick and place | 37 | 16,750 | 00:09:18 | 30 | Approved | [stapler](https://huggingface.co/datasets/NIATphysicalAI/stapler) |
-| 14 | `bottle` | Orientation | 48 | 25,162 | 00:13:59 | 30 | Approved | [bottle](https://huggingface.co/datasets/NIATphysicalAI/bottle) |
-| 15 | `penholder` | Sorting | 92 | 43,990 | 00:24:26 | 30 | Approved | [penholder](https://huggingface.co/datasets/NIATphysicalAI/penholder) |
-| 16 | `sort_biodegradable` | Sorting | 169 | 87,635 | 00:48:41 | 30 | Approved | [sort_biodegradable](https://huggingface.co/datasets/NIATphysicalAI/sort_biodegradable) |
-| 17 | `pick_place_cubes_para` | Pick and place | 300 | 92,287 | 00:51:16 | 30 | Approved | [pick_place_cubes_para](https://huggingface.co/datasets/NIATphysicalAI/pick_place_cubes_para) |
-| 18 | `pick_place_cubes` | Pick and place | 300 | 92,287 | 00:51:16 | 30 | Approved | [pick_place_cubes](https://huggingface.co/datasets/NIATphysicalAI/pick_place_cubes) |
-| 19 | `chocolate_pick_place` | Pick and place | 50 | 29,178 | 00:16:13 | 30 | Approved | [chocolate_pick_place](https://huggingface.co/datasets/NIATphysicalAI/chocolate_pick_place) |
-| 20 | `pick_place` | Pick and place | 50 | 18,559 | 00:10:19 | 30 | Approved | [pick-place](https://huggingface.co/datasets/Bradx86/pick-place) |
-| 21 | `push_t_v2` | Non-prehensile push | 194 | 79,027 | 00:43:54 | 30 | Approved | [push_t_v2](https://huggingface.co/datasets/Bradx86/push_t_v2) |
-| 22 | `t_push` | Non-prehensile push | 50 | 9,388 | 00:05:13 | 30 | Approved | [t_push](https://huggingface.co/datasets/Bradx86/t_push) |
-| 23 | `Bottle_orient` | Orientation | 50 | 32,196 | 00:17:53 | 30 | Approved | [bottle-test](https://huggingface.co/datasets/Bradx86/bottle-test) |
-| 24 | `Cube_pick_place` | Pick and place | 50 | 28,764 | 00:15:59 | 30 | Approved | [record-test](https://huggingface.co/datasets/Bradx86/record-test) |
+| 13 | `stapler` | Pick and place | 37 | 16,750 | 00:09:18 | 30 | OK | [stapler](https://huggingface.co/datasets/NIATphysicalAI/stapler) |
+| 14 | `bottle` | Orientation | 48 | 25,162 | 00:13:59 | 30 | OK | [bottle](https://huggingface.co/datasets/NIATphysicalAI/bottle) |
+| 15 | `penholder` | Sorting | 92 | 43,990 | 00:24:26 | 30 | OK | [penholder](https://huggingface.co/datasets/NIATphysicalAI/penholder) |
+| 16 | `sort_biodegradable` | Sorting | 169 | 87,635 | 00:48:41 | 30 | OK | [sort_biodegradable](https://huggingface.co/datasets/NIATphysicalAI/sort_biodegradable) |
+| 17 | `pick_place_cubes_para` | Pick and place | 300 | 92,287 | 00:51:16 | 30 | OK | [pick_place_cubes_para](https://huggingface.co/datasets/NIATphysicalAI/pick_place_cubes_para) |
+| 18 | `pick_place_cubes` | Pick and place | 300 | 92,287 | 00:51:16 | 30 | OK | [pick_place_cubes](https://huggingface.co/datasets/NIATphysicalAI/pick_place_cubes) |
+| 19 | `chocolate_pick_place` | Pick and place | 50 | 29,178 | 00:16:13 | 30 | OK | [chocolate_pick_place](https://huggingface.co/datasets/NIATphysicalAI/chocolate_pick_place) |
+| 20 | `pick_place` | Pick and place | 50 | 18,559 | 00:10:19 | 30 | OK | [pick-place](https://huggingface.co/datasets/Bradx86/pick-place) |
+| 21 | `push_t_v2` | Non-prehensile push | 194 | 79,027 | 00:43:54 | 30 | OK | [push_t_v2](https://huggingface.co/datasets/Bradx86/push_t_v2) |
+| 22 | `t_push` | Non-prehensile push | 50 | 9,388 | 00:05:13 | 30 | OK | [t_push](https://huggingface.co/datasets/Bradx86/t_push) |
+| 23 | `Bottle_orient` | Orientation | 50 | 32,196 | 00:17:53 | 30 | OK | [bottle-test](https://huggingface.co/datasets/Bradx86/bottle-test) |
+| 24 | `Cube_pick_place` | Pick and place | 50 | 28,764 | 00:15:59 | 30 | OK | [record-test](https://huggingface.co/datasets/Bradx86/record-test) |
 
 ## Repository Structure
 
@@ -328,13 +328,13 @@ To train across several folders, pass a comma-separated list of roots or build a
 
 Community-recorded teleoperation data is never uniform. Things to check before training:
 
-- **Review status.** 5 of 24 datasets are flagged below. They are
-  included for completeness; prefer the approved subset for headline results.
+- **Review status.** 2 of 24 datasets are flagged below. They are
+  included for completeness; prefer the OK subset for headline results.
 - **Varying episode counts.** Some datasets are short (a few minutes) and will be
   heavily under-represented in a naive concatenation. Consider weighted sampling.
 - **Camera configurations differ** between datasets. Check
   `observation.images.*` in each `meta/info.json` before batching across folders.
-- **Frame rates.** 30 fps (24) — resample or filter if your policy assumes a fixed rate.
+- **Frame rates.** 30 fps (all 24/24) — resample or filter if your policy assumes a fixed rate.
 - **Episode indices are per-folder.** They are not globally unique across the collection.
 - **Not a single merged dataset.** Loading NIAT10 as one `LeRobotDataset` will not work;
   point `root` at an individual folder.
@@ -343,11 +343,8 @@ Community-recorded teleoperation data is never uniform. Things to check before t
 
 | Folder | Status | Note |
 |---|---|---|
-| `Eraser_drawer` | fix required | <!-- TODO: what needs fixing --> |
-| `screwdriver_box` | fix required | <!-- TODO: what needs fixing --> |
-| `screwdriver_box_v1` | fix required | <!-- TODO: what needs fixing --> |
-| `stack_cubes` | Re-record | <!-- TODO: what needs fixing --> |
-| `cube` | fix required | <!-- TODO: what needs fixing --> |
+| `Eraser_drawer` | fix required | Dataset card to be fixed |
+| `cube` | fix required | Freezed camera2 feed |
 
 ## Intended Use
 
@@ -389,7 +386,9 @@ the full table in frame from a short mounting distance, at the cost of noticeabl
 barrel distortion near the edges — the recordings are **not undistorted**, so
 calibrate or rectify yourself if your method assumes a pinhole model.
 
-Both streams were captured through LeRobot's OpenCV backend:
+**NOTE:** Some datasets have cropped overhead feed, was done to remove distractors
+and provide bounded region of interest for training purposes. Original 1920x1080 frames 
+were cropped to a 955x720 ROI (margins: 580L, 385R, 180T/B) and downsampled to 640x480.
 
 ```json
 {
@@ -447,15 +446,15 @@ Two consequences worth knowing:
 
 ## Limitations
 
-- **Single environment.** All recordings share one lab, one table and one lighting
-  setup. Background and surface diversity is effectively zero, so expect a large
-  sim-to-real-style gap when deploying elsewhere.
+- **Environment.** Most of recordings share one lab, one table and similar lighting
+  setup. Background and surface diversity is limited.
 - **Single embodiment.** Everything is SO-101. Cross-embodiment transfer is untested.
 - **Fixed camera geometry** at 640 × 480, with uncorrected wide-angle
   distortion.
 - **Uneven dataset sizes.** Durations range from a few minutes to nearly an hour, so
   naive concatenation heavily over-weights the longer datasets.
-- **Manual randomisation** means object-position coverage is not uniform or measured.
+- **Manual randomisation** means object-position coverage is not uniform or measured,
+  some datasets have randomisation after very 10 episdoes or so.
 - **Human demonstrations only** — no failure cases, recovery behaviours or
   counterexamples, which limits use for methods that need negative data.
 
@@ -467,17 +466,6 @@ Two consequences worth knowing:
 Released under the **Apache 2.0** license. Individual datasets may carry additional
 attribution requirements.
 
-## Citation
-
-```bibtex
-@misc{niat10_2026,
-  title  = {NIAT10: A Tabletop Manipulation Dataset Collection},
-  author = {<!-- TODO: author list -->},
-  year   = {2026},
-  url    = {https://huggingface.co/datasets/NIATphysicalAI/NIAT10}
-}
-```
-
 ## Related Resources
 
 - [LeRobot](https://github.com/huggingface/lerobot) — framework used for recording