card: mini config
Browse files
README.md
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@@ -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
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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
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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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| 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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## 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."
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