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card: mini config

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  1. README.md +80 -1
README.md CHANGED
@@ -86,6 +86,69 @@ dataset_info:
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  num_examples: 18000
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  - name: test
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  num_examples: 133200
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - config_name: motion
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  features:
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  - name: clip_id
@@ -145,6 +208,14 @@ configs:
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  path: motion/val-*.parquet
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  - split: test
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  path: motion/test-*.parquet
 
 
 
 
 
 
 
 
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  ---
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  # Dancing Stick Figures — v0.1
@@ -164,11 +235,19 @@ then video" curriculum used by Seedance-class systems.
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  > **v0.1 = first public cut.** Data, labels and splits are final for this version; captions are the raw motion
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  > prompts (templated dense captions come in v0.2); baselines are unconditional. Feedback and issues welcome.
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  ## Quick start
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  ```python
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  from datasets import load_dataset
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- ds = load_dataset("sprited/dancing-stick-figures", "frames", split="validation") # 128 px frames + labels
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  row = ds[0]
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  row["color"] # PIL RGBA image (transparent background, colour-coded bones)
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  row["text"] # "A person does the running man dance."
 
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  num_examples: 18000
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  - name: test
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  num_examples: 133200
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+ - config_name: mini
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+ features:
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+ - name: sample_id
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+ dtype: string
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+ - name: clip_id
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+ dtype: string
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+ - name: frame_idx
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+ dtype: int32
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+ - name: n_frames
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+ dtype: int32
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+ - name: fps
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+ dtype: int32
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+ - name: split
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+ dtype: string
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+ - name: group
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+ dtype: string
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+ - name: held_out
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+ dtype: bool
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+ - name: text
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+ dtype: string
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+ - name: seed
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+ dtype: int32
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+ - name: qa_flags
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+ dtype: string
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+ - name: cam_yaw
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+ dtype: float32
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+ - name: cam_pitch
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+ dtype: float32
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+ - name: cam_center_x
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+ dtype: float32
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+ - name: cam_center_y
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+ dtype: float32
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+ - name: px_per_m
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+ dtype: float32
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+ - name: stroke
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+ dtype: float32
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+ - name: bone_scale
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+ dtype: string
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+ - name: joint_xyz
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+ dtype: binary
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+ - name: joint_xy
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+ dtype: binary
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+ - name: joint_depth
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+ dtype: binary
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+ - name: joint_visible
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+ dtype: binary
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+ - name: root_pos
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+ dtype: binary
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+ - name: root_vel
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+ dtype: binary
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+ - name: root_heading
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+ dtype: binary
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+ - name: color
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+ dtype: image
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+ - name: seg
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+ dtype: image
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+ splits:
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+ - name: train
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+ num_examples: 363600
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+ - name: validation
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+ num_examples: 18000
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+ - name: test
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+ num_examples: 133200
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  - config_name: motion
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  features:
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  - name: clip_id
 
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  path: motion/val-*.parquet
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  - split: test
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  path: motion/test-*.parquet
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+ - config_name: mini
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+ data_files:
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+ - split: train
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+ path: mini/train-*.parquet
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+ - split: validation
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+ path: mini/val-*.parquet
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+ - split: test
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+ path: mini/test-*.parquet
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  ---
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  # Dancing Stick Figures — v0.1
 
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  > **v0.1 = first public cut.** Data, labels and splits are final for this version; captions are the raw motion
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  > prompts (templated dense captions come in v0.2); baselines are unconditional. Feedback and issues welcome.
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+ ## Which config?
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+
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+ | config | rows | size | contents |
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+ |---|---|---|---|
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+ | `frames` (default) | 514,800 frames | 4.6 GB | 128² RGBA colour + depth16 + normals + seg + all labels |
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+ | `mini` | 514,800 frames | 0.85 GB | **64²** RGBA colour + seg + all labels — laptops, Colab, classrooms |
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+ | `motion` | 1,430 clips | 0.35 GB | raw generator output: world joints, rotation matrices, foot contacts |
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+
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  ## Quick start
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  ```python
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  from datasets import load_dataset
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+ ds = load_dataset("sprited/dancing-stick-figures", "frames", split="validation") # 128 px frames + labels ("mini" = 64 px, 0.85 GB)
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  row = ds[0]
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  row["color"] # PIL RGBA image (transparent background, colour-coded bones)
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  row["text"] # "A person does the running man dance."