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README.md
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---
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dtype: binary
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splits:
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- name: train
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num_bytes: 69464733
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num_examples: 3486
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download_size: 56615382
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dataset_size: 69464733
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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license: cc0-1.0
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task_categories:
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- text-to-video
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- image-to-video
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tags:
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- animatediff
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- lora
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- game-assets
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- sprite
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size_categories:
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- 1K<n<10K
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# SpriteID-5K: AnimateDiff LoRA Training Dataset
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This dataset was dynamically generated for the BitSoul project. It contains (Reference, Skeleton, Target) triplets for teaching 2D kinematic motion to AnimateDiff.
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## 📊 Dataset Calibration Report
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```text
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============================================================
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SPRITEID-5K — FINAL REPORT
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============================================================
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Total triplets : 3486
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Base / flip split : 1743 / 1743
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Source breakdown : mgane=978 nyu=2508
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Action distribution:
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idle 1948 (55.9%) ███████████████████████████████████
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attack 616 (17.7%) ███████████
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run 430 (12.3%) ███████
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walk 246 ( 7.1%) ████
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jump 140 ( 4.0%) ██
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die 50 ( 1.4%)
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hurt 24 ( 0.7%)
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slide 16 ( 0.5%)
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other 16 ( 0.5%)
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============================================================
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```
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## Pipeline Specifications (v2.1)
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- **VLM Action Labeling**: Qwen2.5-VL-3B-Instruct (INT4)
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- **CV Pose Extraction**: easy-dwpose (ONNX)
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- **Structural Gate**: 800px minimum skeleton density + coherent bounding box aspect ratio
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- **Kinematic Gate**: 400px motion delta required between frames
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- **Balancing**: 12-frame hard cap per sheet with even subsampling
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- **Augmentation**: Horizontal flip only (preserves bilateral temporal kinematics)
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