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Datasets:
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AD-MCQ

Tasks:
Visual Question Answering
Video Classification
Modalities:
Text
Video
Formats:
json
Languages:
English
Size:
1K - 10K
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  1. README.md +32 -0
  2. codebook/traj_codebook_K8192.npy +3 -0
  3. codebook/traj_codebook_K8192_metrics.json +25 -0
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README.md ADDED
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+ ---
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+ pretty_name: AD-MCQ
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+ task_categories:
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+ - visual-question-answering
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+ - video-classification
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+ language:
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+ - en
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+ ---
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+
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+ # AD-MCQ
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+
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+ AD-MCQ is a candidate-trajectory multiple-choice dataset for autonomous-driving visual reasoning.
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+
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+ ## Splits
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+
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+ | Split | File | Examples |
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+ |---|---|---:|
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+ | train | `train/data.jsonl` | 5,000 |
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+ | test | `test/data.jsonl` | 500 |
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+ | development | `development/data.jsonl` | 100 |
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+
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+ Each example contains the prompt, candidate-grounded supervision, rule-based reward metadata, and three camera views.
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+
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+ ## Media availability
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+
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+ The repository includes locally packaged MP4 media for 3,497 training examples, 250 test examples, and 70 development examples. Their video references use repository-relative paths under `media/`.
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+
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+ The remaining examples retain internal asset descriptors (`asset_id`, `cam_id`, and timestamps) but do not include the corresponding H265 media. These examples require access to the original asset store before they can be decoded. They are retained so that the official split sizes and annotations remain intact.
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+
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+ ## Codebook
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+
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+ The `codebook/` directory contains the K=8192 trajectory codebook, waypoint representation, and summary metrics used to construct candidate trajectories.
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+ "cluster_size_mean": 62.8394775390625
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