Add README with dataset documentation
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README.md
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---
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license: mit
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configs:
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- config_name: default
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- name: video_name
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dtype: string
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- name: frames
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sequence: image
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- name: optical_flows
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sequence: image
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- name: num_frames
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dtype: int32
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- name: num_flows
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dtype: int32
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- name: question
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dtype: string
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- name: label
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dtype: string
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- name: video_path
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dtype: string
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splits:
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- name: train
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num_bytes: 2167291393.0
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num_examples: 316
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download_size: 158338775
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dataset_size: 2167291393.0
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---
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# CameraBench optical flow dataset
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A balanced VQA dataset for evaluating camera motion understanding in videos.
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<!-- SPLIT-SECTION:train:START -->
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## Split: train
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license: mit
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configs:
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- config_name: default
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data_files:
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- split: test
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path: data/test-*.parquet
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- split: train
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path: data/train-*.parquet
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---
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# CameraBench optical flow dataset
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A balanced VQA dataset for evaluating camera motion understanding in videos.
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## 📊 Dataset Statistics
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- **Total Questions**: 249
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- **Unique Videos**: 70
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- **Unique Questions**: 13
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- **Yes Answers**: 89 (35.7%)
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- **No Answers**: 160 (64.3%)
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- **Balance Ratio**: 0.56
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- **Total Size**: 258.40 MB (0.25 GB)
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- **Average Video Size**: 3.69 MB
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## 🎯 Task Categories
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This dataset covers various camera motion tasks.
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## 📝 Dataset Format
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The dataset consists of MP4 video files with frames and optical flows stored in Parquet format.
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Each record contains:
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- `video_name`: Original video filename
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- `video_path`: Relative path to video file (e.g., `videos/video.mp4`)
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- `frames`: Sequence of extracted video frames
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- `optical_flows`: Sequence of optical flow visualizations
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- `question`: Binary question about camera motion
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- `label`: Answer ("Yes" or "No")
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<!-- SPLIT-SECTION:train:START -->
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## Split: train
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