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+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
+*.aac filter=lfs diff=lfs merge=lfs -text
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+# Image files - uncompressed
+*.bmp filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
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+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.jpeg filter=lfs diff=lfs merge=lfs -text
+*.webp filter=lfs diff=lfs merge=lfs -text
+# Video files - compressed
+*.mp4 filter=lfs diff=lfs merge=lfs -text
+*.webm filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+license: cc0-1.0
+pretty_name: Dancing Chibi Figures
+language:
+- en
+task_categories:
+- text-to-video
+- text-to-image
+- image-to-video
+- keypoint-detection
+- image-segmentation
+tags:
+- synthetic
+- video-diffusion
+- motion
+- chibi
+- character-animation
+- sprite
+- benchmark
+- toy-dataset
+size_categories:
+- 100K<n<1M
+dataset_info:
+- config_name: frames
+  features:
+  - name: sample_id
+    dtype: string
+  - name: color
+    dtype: image
+  - name: prompt
+    dtype: string
+  - name: caption_short
+    dtype: string
+  - name: group
+    dtype: string
+  - name: split
+    dtype: string
+  - name: frame_idx
+    dtype: int32
+  - name: clip_id
+    dtype: string
+  - name: seg
+    dtype: image
+  - name: depth
+    dtype: image
+  - name: normal
+    dtype: image
+  - name: caption
+    dtype: string
+  - name: caption_static
+    dtype: string
+  - name: caption_dynamic
+    dtype: string
+  - name: caption_dense
+    dtype: string
+  - name: events
+    dtype: string
+  - name: n_frames
+    dtype: int32
+  - name: fps
+    dtype: int32
+  - name: held_out
+    dtype: bool
+  - name: text
+    dtype: string
+  - name: seed
+    dtype: int32
+  - name: qa_flags
+    dtype: string
+  - name: cam_yaw
+    dtype: float32
+  - name: cam_pitch
+    dtype: float32
+  - name: cam_center_x
+    dtype: float32
+  - name: cam_center_y
+    dtype: float32
+  - name: px_per_m
+    dtype: float32
+  - name: joint_xyz
+    dtype: binary
+  - name: joint_xy
+    dtype: binary
+  - name: joint_depth
+    dtype: binary
+  - name: joint_visible
+    dtype: binary
+  - name: root_pos
+    dtype: binary
+  - name: root_vel
+    dtype: binary
+  - name: root_heading
+    dtype: binary
+  - name: foot_contacts
+    dtype: binary
+  - name: config
+    dtype: string
+  - name: size
+    dtype: int32
+- config_name: mini
+  features:
+  - name: sample_id
+    dtype: string
+  - name: color
+    dtype: image
+  - name: prompt
+    dtype: string
+  - name: caption_short
+    dtype: string
+  - name: group
+    dtype: string
+  - name: split
+    dtype: string
+  - name: frame_idx
+    dtype: int32
+  - name: clip_id
+    dtype: string
+  - name: seg
+    dtype: image
+  - name: depth
+    dtype: image
+  - name: normal
+    dtype: image
+  - name: caption
+    dtype: string
+  - name: caption_static
+    dtype: string
+  - name: caption_dynamic
+    dtype: string
+  - name: caption_dense
+    dtype: string
+  - name: events
+    dtype: string
+  - name: n_frames
+    dtype: int32
+  - name: fps
+    dtype: int32
+  - name: held_out
+    dtype: bool
+  - name: text
+    dtype: string
+  - name: seed
+    dtype: int32
+  - name: qa_flags
+    dtype: string
+  - name: cam_yaw
+    dtype: float32
+  - name: cam_pitch
+    dtype: float32
+  - name: cam_center_x
+    dtype: float32
+  - name: cam_center_y
+    dtype: float32
+  - name: px_per_m
+    dtype: float32
+  - name: joint_xyz
+    dtype: binary
+  - name: joint_xy
+    dtype: binary
+  - name: joint_depth
+    dtype: binary
+  - name: joint_visible
+    dtype: binary
+  - name: root_pos
+    dtype: binary
+  - name: root_vel
+    dtype: binary
+  - name: root_heading
+    dtype: binary
+  - name: foot_contacts
+    dtype: binary
+  - name: config
+    dtype: string
+  - name: size
+    dtype: int32
+configs:
+- config_name: frames
+  default: true
+  data_files:
+  - split: train
+    path: frames/train-*.parquet
+  - split: validation
+    path: frames/val-*.parquet
+  - split: test
+    path: frames/test-*.parquet
+- config_name: mini
+  data_files:
+  - split: train
+    path: mini/train-*.parquet
+  - split: validation
+    path: mini/val-*.parquet
+  - split: test
+    path: mini/test-*.parquet
+---
+# Dancing Chibi Figures — v0.1
+
+**One template Q-version (chibi) character, animated by 1,430 motion clips, rendered with exact labels and motion-grounded captions — and paired frame-for-frame with [Dancing Stick Figures](https://huggingface.co/datasets/sprited/dancing-stick-figures).**
+
+1,423 clips · 6 s @ 20 fps · 128×128 RGBA · 514,800 frames · 143 text prompts × 10 seeds × 3 cameras ·
+every frame carries the 3D skeleton, camera, depth, camera-space normals, part segmentation, motion events and five
+levels of caption.
+
+<p align="center"><img src="figs/contact_sheet.png" width="900"></p>
+
+*One row per motion group; every clip also carries depth, camera-space normals, part segmentation and joints:*
+
+<p align="center"><img src="figs/labels_row.png" width="1000"></p>
+
+The stick-figure dataset was the minimal case (lines, an exact oracle). This is the next rung: a **real character with
+volume** — a grey, flat-shaded chibi mannequin (~2.8 heads tall, face guide cross, dark outline, the kind of template
+figure drawing books use) — while every pixel is still a deterministic function of ~30 known parameters. Same motion,
+same cameras, same `clip_id` as the stick-figure dataset, so the two can be used together (skeleton → character,
+stick render ↔ chibi render, pose estimation on chibi proportions).
+
+> **v0.1 = first public cut.** Rendering, labels and splits are final for this version. Captions are templated from the
+> motion labels (see *Captions*) and may be refined in v0.2 without re-rendering.
+
+## Which config?
+
+| config | rows | size | contents |
+|---|---|---|---|
+| `frames` (default) | 514,800 frames | 5.1 GB | 128² RGBA colour (WebP lossless) + depth16 + normals + seg + all labels + captions |
+| `mini` | 514,800 frames | 2.09 GB | **64²** version of `frames` — laptops, Colab, classrooms |
+| motion | — | — | the raw ARDY motion is identical to the stick dataset's `motion` config (same `clip_id`); the chibi retarget is `generator/chibi.py` in the code repo |
+
+## Quick start
+
+```python
+from datasets import load_dataset
+ds = load_dataset("sprited/dancing-chibi-figures", "frames", split="validation")
+row = ds[0]
+row["color"]              # PIL RGBA image, transparent background
+row["caption"]            # "Seen from the front-right, a chibi mannequin waves hello with the right hand; it raises the right hand to head level at 0.5 s ..."
+row["caption_dynamic"]    # observed motion only (from the labels, never from the prompt)
+row["prompt"]             # the text the motion was generated from: "A person waves hello with the right hand."
+import json, numpy as np
+events = json.loads(row["events"])                                    # per-clip motion events (same on every row of a clip)
+xy = np.frombuffer(row["joint_xy"], np.float32).reshape(27, 2)       # normalised [0,1] image coords
+seg = np.array(row["seg"])                                            # bone id per pixel (0 = background)
+```
+
+Composite the RGBA colour over any background you like; depth/normal/seg let you relight or recolour it (the render is
+unlit on purpose — the normals are there so you can "afterlight" it).
+
+## What is in a frame
+
+**`frames` / `mini` — one row per rendered frame.**
+
+| 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; **identical ids to Dancing Stick Figures** |
+| `split`, `group`, `held_out` | str/bool | split ∈ train/val/test; group ∈ dance, gesture, locomotion, transitions, idle, acrobatic, **sport** (held out → test only) |
+| `prompt` (= `text`) | str | the ARDY motion prompt the clip was generated from (143 unique) — the *intent*, not a description of the clip |
+| `events` | JSON str (identical on every row of a clip-camera) | rule-based motion events from the labels: `travel_m`, `travel_dir`, `heading_change_deg`, `jumps` [[t,dur]], `steps`, `left/right_hand_above_head / _raised / _forward`, `left/right_foot_raised`, `low_posture`, `lying`, `inverted`, `hips_height_m`, `activity_per_s`, `active_s` |
+| `caption_static` | str | appearance + framing + camera (constant over the clip) |
+| `caption_dynamic` | str | the observed motion in temporal order, generated from `events` only |
+| `caption_short`, `caption`, `caption_dense` | str | 5–10 words / 1–2 sentences / 3–6 sentences; 2–3 paraphrase templates sampled per clip-camera |
+| `seed` | int | ARDY seed 0–9 |
+| `qa_flags` | str | comma list; `prompt_mismatch:no_locomotion / no_jump / no_turn / no_low_posture / no_arms_up` (heuristics: the clip contradicts its prompt), `frozen`, `out_of_frame` (a joint centre leaves the image — 0.31 % of frames, almost all in `transitions` clips that start on the floor and stand up; the fixed camera is framed on the frame-0 hips). Kept, not filtered |
+| `cam_yaw`, `cam_pitch` | float (rad) | orthographic camera, same sampling and values as the stick dataset; yaw 0 = figure faces the camera; **positive pitch = camera slightly below** the horizontal |
+| `cam_center_x/y`, `px_per_m` | float | projection in 128-px units: `x_px = cx + px_per_m·x` (for `mini` divide by 2); scale 50–58 px/m |
+| `joint_xyz` | binary f32[27,3] | figure-frame 3D joints (x left, y up, z forward), metres, Hips at frame 0 = origin |
+| `joint_xy` | binary f32[27,2] | image coordinates, normalised to [0,1] |
+| `joint_depth` | binary f32[27] | depth toward the camera (m), Hips-relative, same convention as the depth map |
+| `joint_visible` | binary u8[27] | **1 if the bone owns ≥1 pixel in `seg`** — NOT the stick dataset's per-joint occlusion test, despite the same column name; hand-tip and toe bones are absorbed by their neighbours in `seg` and are always 0 (use `joint_xy` for an in-frame test). Will be unified with the stick semantics in v0.2 |
+| `root_pos`, `root_vel`, `root_heading` | binary f32[3], f32[3], f32[2] | Hips trajectory in the frame-0 figure frame (world travel — the render itself is hips-centred); heading = (cos, sin) yaw |
+| `foot_contacts` | binary u8[4] | ARDY foot contacts: LeftFoot, LeftToe, RightFoot, RightToe |
+| `color` | image | 128×128 RGBA WebP (lossless), **transparent background**, unlit flat grey |
+| `depth` | image | 16-bit PNG, `depth = lo + u16/65535·(hi−lo)`, range [−1.5, 1.5] m toward the camera around the Hips, 0 = background |
+| `normal` | image | RGB WebP (lossless), camera-space normal `n = rgb/255·2−1` (x right, y up, z toward camera) |
+| `seg` | image | 8-bit PNG, value = joint id + 1 of the bone owning the pixel (0 = background); exact at render resolution, majority-vote downsampled |
+| `config`, `size` | str/int | `frames`/128, `mini`/64 |
+
+**All left/right in prompts, captions, events and joint names are the figure's own left/right (egocentric), not the viewer's** — a figure facing the camera points "to the left" toward screen-right.
+
+Binary columns are raw little-endian arrays: `np.frombuffer(row[col], dtype).reshape(shape)`.
+Skeleton (`cskel27`, index order): Hips, Spine, Spine1, Spine2, Spine3, Neck, Head, RightShoulder, RightArm,
+RightForeArm, RightHand, RightHandEnd, RightHandThumb1, LeftShoulder, LeftArm, LeftForeArm, LeftHand, LeftHandEnd,
+LeftHandThumb1, RightUpLeg, RightLeg, RightFoot, RightToeBase, LeftUpLeg, LeftLeg, LeftFoot, LeftToeBase.
+`Head` is the head-sphere **centre** (skull base in the stick dataset).
+
+## Captions: prompt ≠ caption
+
+The ARDY prompt is what we *asked for*; the clip is what the motion model *produced*, and they disagree more often than
+you would think ("walks in a circle" turns 62°; "does jumping jacks" jumps twice, then stands). So the captions are
+generated **from the labels**, Seedance-style: a static part (appearance, framing, camera), a dynamic part (events in
+temporal order), and three granularities, with the prompt kept as a separate `prompt` column and a `prompt_mismatch`
+flag when the two clearly contradict. The render is hips-centred, so the captions say "the camera follows the hips"
+and never claim visible travel; travel lives in `events` / `root_pos`.
+
+We also ran an off-the-shelf video VLM (Qwen3-VL-8B) on the clips: it described ~half of them correctly (sitting,
+waving, kicking) and missed whole-body fast motion (jumps, a flip) and turning on this featureless mannequin — a
+useful probe, not a caption source; VLM captions are not included in v0.1.
+
+## Splits
+
+By **prompt**, never by seed or camera (identical to the stick dataset): `sport` is held out entirely; else hash(prompt) → 90/5/5.
+
+| | frames |
+|---|---|
+| train | 363,600 |
+| validation | 18,000 |
+| test (incl. sport) | 133,200 |
+
+## How it was made
+
+prompt → **NVIDIA ARDY** text-to-motion (6 s, 20 fps, seeds 0–9; the same clips as the stick dataset) → chibi
+retarget (same joint rotations on chibi bone lengths; root travel scaled by the leg ratio so the feet do not slide;
+ground from foot contacts) → **Blender 5.1** procedural rig (Skin-modifier mannequin over the 27-joint graph + sphere
+head, heat weights, dual-quaternion skinning; flat Emission material, inverted-hull outline, face guide cross) → 3
+orthographic cameras per clip (same sampling as the stick dataset) → two headless Eevee passes per frame (anti-aliased
+colour; 1-sample exact depth / normal / segmentation) at 256², box-downsampled to 128 / 64 → parquet. Deterministic
+from `clip_id`; the generator is in the code repo.
+
+## Intended use / limitations
+
+Teaching and benchmarking small video/image generative models, conditional generation (skeleton/seg/depth → character),
+pose estimation on chibi proportions, sprite/character animation research. One template character only (no clothes,
+hair, faces, props); hips-centred framing (no visible travel); ~0.3 % of frames are partly out of frame (flagged `out_of_frame`); the rig mesh has small internal defects at the neck and
+wrists invisible at ≤256 px; `prompt_mismatch` flags are heuristics; camera pitch sign follows the stick dataset
+(positive = from slightly below).
+
+## Versioning
+
+v0.1 (2026-08) first public cut. Planned v0.2: more prompts (a curated set of ~300 from a chibi pose reference book),
+an anatomy oracle, post-processed outlines, optional colour-coded config, 8-direction sprite views.
+
+## License and attribution
+
+Data CC0-1.0. Motion generated with NVIDIA ARDY (NVIDIA Open Model License, which claims no ownership of outputs);
+character, rig and renderer are procedural code (MIT) — no third-party 3D assets. Paired dataset:
+[sprited/dancing-stick-figures](https://huggingface.co/datasets/sprited/dancing-stick-figures).

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