v0.2 card: curated counts (134 prompts / 1,340 motions / 482,400 frames), curation note

README.md

@@ -81,11 +81,11 @@ dataset_info:
     dtype: binary
   splits:
   - name: train
-    num_examples: 411840
+    num_examples: 385920
   - name: validation
-    num_examples: 51480
+    num_examples: 48240
   - name: test
-    num_examples: 51480
+    num_examples: 48240
 - config_name: mini
   features:
   - name: color
@@ -144,11 +144,11 @@ dataset_info:
     dtype: binary
   splits:
   - name: train
-    num_examples: 411840
+    num_examples: 385920
   - name: validation
-    num_examples: 51480
+    num_examples: 48240
   - name: test
-    num_examples: 51480
+    num_examples: 48240
 - config_name: motion
   features:
   - name: text
@@ -185,11 +185,11 @@ dataset_info:
     dtype: binary
   splits:
   - name: train
-    num_examples: 1144
+    num_examples: 1072
   - name: validation
-    num_examples: 143
+    num_examples: 134
   - name: test
-    num_examples: 143
+    num_examples: 134
 configs:
 - config_name: frames
   default: true
@@ -222,7 +222,7 @@ configs:
 
 **A small, fully-labelled synthetic video dataset for learning (and teaching) video diffusion on one consumer GPU.**
 
-1,430 clips · 6 s @ 20 fps · 128×128 RGBA · 514,800 frames · 143 text prompts × 10 seeds × 3 cameras ·
+1,340 clips · 6 s @ 20 fps · 128×128 RGBA · 482,400 frames · 134 text prompts × 10 seeds × 3 cameras ·
 every frame carries the 3D skeleton, camera and G-buffer (depth, normals, part segmentation) that produced it.
 
 <p align="center"><img src="figs/dataset_contact_sheet.png" width="900"></p>
@@ -241,21 +241,23 @@ then video" curriculum used by Seedance-class systems.
 > **Sibling dataset:** [sprited/dancing-chibi-figures](https://huggingface.co/datasets/sprited/dancing-chibi-figures) — the same motions and cameras rendered as a volumetric chibi character (paired by `clip_id`).
 >
 > **v0.2 uses an in-domain seed split.** Captions remain the raw motion prompts. Seeds 0--7 train, seed 8 validates,
-> and seed 9 tests; every split contains all 143 prompts. Feedback and issues are welcome.
+> and seed 9 tests; every split contains all 134 prompts. Nine of the original 143 prompts were removed after visual
+> QA because their motions do not visibly perform the requested action (see the curation note below). Feedback and
+> issues are welcome.
 
 ## Which config?
 
 | config | rows | size | contents |
 |---|---|---|---|
-| `frames` (default) | 514,800 frames | 4.6 GB | 128² RGBA colour + depth16 + normals + seg + all labels |
-| `mini` | 514,800 frames | 0.85 GB | **64²** RGBA colour + seg + all labels — laptops, Colab, classrooms |
-| `motion` | 1,430 clips | 0.35 GB | raw generator output: world joints, rotation matrices, foot contacts |
+| `frames` (default) | 482,400 frames | 4.4 GB | 128² RGBA colour + depth16 + normals + seg + all labels |
+| `mini` | 482,400 frames | 0.79 GB | **64²** RGBA colour + seg + all labels — laptops, Colab, classrooms |
+| `motion` | 1,340 clips | 0.33 GB | raw generator output: world joints, rotation matrices, foot contacts |
 
 ## Quick start
 
 ```python
 from datasets import load_dataset
-ds = load_dataset("sprited/dancing-stick-figures", "frames", split="validation")   # 128 px frames + labels ("mini" = 64 px, 0.85 GB)
+ds = load_dataset("sprited/dancing-stick-figures", "frames", split="validation")   # 128 px frames + labels ("mini" = 64 px, 0.79 GB)
 row = ds[0]
 row["color"]            # PIL RGBA image (transparent background, colour-coded bones)
 row["text"]             # "A person does the running man dance."
@@ -289,13 +291,13 @@ python -m train.video_dit_fm --cache cache --size 64 --frames 8 --batch 16 --pat
 
 *color (RGBA over white) · seg (bone id per pixel) · depth16 · camera-space normals · `joint_xy` overlay (green = visible, red = occluded)*
 
-**`frames` config — one row per rendered frame (514,800 rows).**
+**`frames` config — one row per rendered frame (482,400 rows).**
 
 | column | type | meaning |
 |---|---|---|
 | `sample_id`, `clip_id`, `frame_idx`, `n_frames`, `fps` | str/int | `clip_id = group/prompt_slug_s{seed}/c{cam}`; 120 frames per clip, 20 fps |
 | `split`, `group`, `held_out` | str/bool | split ∈ train/val/test; group ∈ dance, gesture, locomotion, transitions, idle, sport; `held_out` is false in the current seed split |
-| `text` | str | the motion prompt the clip was generated from (143 unique) |
+| `text` | str | the motion prompt the clip was generated from (134 unique) |
 | `seed` | int | generator seed 0–9 |
 | `qa_flags` | str | comma list; `levitation` (root ever > 1.6 m above floor), `frozen` (mean joint speed < 0.02 m/s). Kept, not filtered — filter if you like |
 | `cam_yaw`, `cam_pitch` | float (rad) | orthographic camera; yaw 0 = figure faces the camera, canonical yaws ±6° jitter (70 %) or uniform (30 %); pitch −3°…10° |
@@ -323,7 +325,7 @@ right upper arm ■ `#286EE6`, right forearm+hand ■ `#50C8F0`; left thigh ■
 right thigh ■ `#1E965A`, right shin+foot ■ `#78DC5A` (`generator/render.py:PALETTE`, keyed by the bone's child joint).
 Colours are anti-aliased (4× supersampled); if you need hard-edged colour, rebuild it from `seg` + the palette.
 
-**`motion` config — one row per clip (1,430 rows, 349 MB).** Raw output of the motion generator (NVIDIA ARDY):
+**`motion` config — one row per clip (1,340 rows, 327 MB).** Raw output of the motion generator (NVIDIA ARDY):
 `posed_joints` f32[T,27,3] (world, m), `local_rot_mats` / `global_rot_mats` f32[T,27,3,3], `root_positions`,
 `smooth_root_pos` f32[T,3], `global_root_heading` f32[T,2], `foot_contacts` bool[T,4], plus `frame0_basis` f32[3,3]
 (rows = figure-frame x/left, y/up, z/forward in world coordinates; `figure_joints = (posed_joints − Hips) @ basis.T`,
@@ -331,15 +333,24 @@ before `bone_scale`). Same `clip_id` (minus the camera suffix), `split`, `group`
 
 ## Splits
 
-Split is by **ARDY generation seed**: seeds 0--7 train, seed 8 validation, and seed 9 test. All 143 prompts and all
+Split is by **ARDY generation seed**: seeds 0--7 train, seed 8 validation, and seed 9 test. All 134 prompts and all
 camera families occur in every split, while the underlying source-motion realizations remain disjoint. This is an
 in-domain generation split; it does not claim zero-shot generalisation to unseen prompt vocabulary.
 
 | | motion clips (×3 cameras) | frames | prompts |
 |---|---|---|---|
-| train | 1,144 | 411,840 | 143 |
-| validation | 143 | 51,480 | 143 |
-| test | 143 | 51,480 | 143 |
+| train | 1,072 | 385,920 | 134 |
+| validation | 134 | 48,240 | 134 |
+| test | 134 | 48,240 | 134 |
+
+**Prompt curation (v0.2).** Nine of the 143 generated prompts are excluded from the release because their ARDY
+motions do not visibly perform the requested action in this rendered domain: near-static failures (*sways to slow
+music*), motion that cannot render (*shakes their head no* — the head is a filled circle), unrecognisable or absent
+actions (*yoga warrior pose*, *yoga tree pose*, *sit up*, *push up*, *standing long jump* — the figure glides without
+an airborne phase), interactions with objects that do not exist in the render (*climbs over a low wall*), and
+*lies down on the floor*. The exclusion list with per-prompt reasons ships as `prompts/v02_excluded.txt` in the code
+repository. Stillness prompts whose stillness is semantically correct (the idle group, stands-* prompts, *balances on
+one leg*) are kept even when the `frozen` QA flag fires.
 
 ## How it was made
 
@@ -348,8 +359,9 @@ per-clip body jitter (bone lengths ±8 %, stroke, scale) → 3 orthographic came
 yaws, 30 % uniform) → z-buffered capsule rasteriser writes colour / depth / normal / segmentation in one pass →
 parquet. Everything is deterministic from `clip_id`; the generator is in the repo (`generator/`).
 
-Motion prompts: 143 hand-written English sentences in 6 groups (dance 34, gesture 30, locomotion 21, transitions 15,
-idle 10, sport 33); acrobatics and moonwalk were removed after QA (ARDY did not render them faithfully).
+Motion prompts: 134 hand-written English sentences in 6 groups (dance 33, gesture 29, locomotion 21, transitions 13,
+idle 10, sport 28); acrobatics and moonwalk were removed during generation QA, and nine further prompts were removed
+by the v0.2 release curation above (ARDY did not render them faithfully).
 
 ## Historical v0.1 baselines and the structural evaluator
 
@@ -401,15 +413,16 @@ DiT-track (Seedance-style two-stage, interim) and class-conditional checkpoints
   I2V, and structural evaluation. Not a human-motion dataset: it is stick figures with a single body preset (jittered).
 - Motion realism is bounded by the generator (ARDY); some prompts are only loosely followed. Use `qa_flags` and
   inspect motion samples when prompt semantics are central to an experiment.
-- 143 prompts is small for text conditioning; captions are the raw motion prompts. Dense templated captions
+- 134 prompts is small for text conditioning; captions are the raw motion prompts. Dense templated captions
   (camera, body, root motion; dynamic + static) remain future work.
 - The real-reference TVR is non-zero because occlusion hides coloured limbs at these resolutions (about 14% at 64²).
 
 ## Versioning
 
 - **v0.1 (2026-08-18)** — initial public release: 1,430 clips, `frames` + `motion` configs, oracle v0, image baselines.
-- **v0.2 (2026-08-25)** — seed-disjoint in-domain train/validation/test partitions, public-motion reconstruction and
-  verification, seeded instructor render variants, prompt-conditioned reference models, and an image-to-video Colab lesson.
+- **v0.2 (2026-08-25)** — seed-disjoint in-domain train/validation/test partitions, visual-QA prompt curation
+  (143 → 134 prompts), public-motion reconstruction and verification, seeded instructor render variants,
+  prompt-conditioned reference models, and an image-to-video Colab lesson.
   A learned rig estimator remains future work until its generated-video scores are validated.
 
 ## License and attribution