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Count only the participant frames (29,777); describe lb1_split

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  1. README.md +9 -7
README.md CHANGED
@@ -51,9 +51,11 @@ PersonaDrive retrieves frames of the selected style as in-context demonstrations
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  | Folder | Style | Frames |
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  |---|---|---:|
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  | `default` | **Neutral: normal driving** | 9,613 |
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- | `fast` | Aggressive | 39,734 |
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- | `slow` | Conservative | 64,215 |
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- | **Total** | | **113,562** |
 
 
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  Each frame has a front camera image, the ego state and controls, the navigation targets and the surrounding objects. Most routes also have per-frame commentary and VQA annotations.
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@@ -64,8 +66,8 @@ Every zip unpacks into the same directory tree, so extract the zips you need int
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  | File | Size | Files | Contents |
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  |---|---:|---:|---|
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  | `data_default.zip` | 2.37 GB | 19,394 | Normal (neutral) driving: camera frames, per-frame measurements, surrounding objects. |
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- | `data_fast.zip` | 11.69 GB | 81,033 | Aggressive driving, with the same contents plus the retrieved context points used for fine-tuning (`icl_examples.json.gz`). |
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- | `data_slow.zip` | 18.84 GB | 130,004 | Conservative driving, organized like `data_fast.zip`. |
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  | `commentary.zip` | 3.2 MB | 786 | Per-route `commentary.json` for all three styles. |
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  | `drivelm.zip` | 27.8 MB | 775 | Per-route `vqa.json` (DriveLM-style question–answer pairs) for all three styles. |
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@@ -148,9 +150,9 @@ simlingo/
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  ├── data/simlingo/
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  │ ├── default/driver<N>/routes/<Scenario>/<id>/<Town..>/ # normal (neutral) driving
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  │ ├── fast/driver<N>/routes/<Scenario>/<id>/<Town..>/ # aggressive
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- │ ├── fast/lb1_split/routes_training/<Scenario>/<route>/<Town..>/ # aggressive
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  │ ├── slow/driver<N>/routes/<Scenario>/<id>/<Town..>/ # conservative
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- │ └── slow/lb1_split/routes_training/<Scenario>/<route>/<Town..>/ # conservative
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  ├── commentary/simlingo/<same relative paths>/commentary.json
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  └── drivelm/simlingo/<same relative paths>/vqa.json
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  ```
 
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  | Folder | Style | Frames |
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  |---|---|---:|
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  | `default` | **Neutral: normal driving** | 9,613 |
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+ | `fast` | Aggressive | 7,143 |
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+ | `slow` | Conservative | 13,021 |
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+ | **Total** | | **29,777** |
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+
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+ These are the frames the 15 participants drove (`driver1`–`driver15`). The `fast` and `slow` folders also contain `lb1_split`: routes of SimLingo's Leaderboard 1.0 split, recorded in the aggressive and conservative style and used for Stage-3 fine-tuning. They are not part of the participant data and are not counted above.
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  Each frame has a front camera image, the ego state and controls, the navigation targets and the surrounding objects. Most routes also have per-frame commentary and VQA annotations.
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  | File | Size | Files | Contents |
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  |---|---:|---:|---|
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  | `data_default.zip` | 2.37 GB | 19,394 | Normal (neutral) driving: camera frames, per-frame measurements, surrounding objects. |
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+ | `data_fast.zip` | 11.69 GB | 81,033 | Aggressive driving (`fast/driver*`), plus the `fast/lb1_split` fine-tuning routes with their retrieved context points (`icl_examples.json.gz`). |
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+ | `data_slow.zip` | 18.84 GB | 130,004 | Conservative driving (`slow/driver*`), plus the `slow/lb1_split` fine-tuning routes, organized like `data_fast.zip`. |
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  | `commentary.zip` | 3.2 MB | 786 | Per-route `commentary.json` for all three styles. |
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  | `drivelm.zip` | 27.8 MB | 775 | Per-route `vqa.json` (DriveLM-style question–answer pairs) for all three styles. |
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  ├── data/simlingo/
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  │ ├── default/driver<N>/routes/<Scenario>/<id>/<Town..>/ # normal (neutral) driving
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  │ ├── fast/driver<N>/routes/<Scenario>/<id>/<Town..>/ # aggressive
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+ │ ├── fast/lb1_split/routes_training/<Scenario>/<route>/<Town..>/ # SimLingo lb1_split routes, aggressive (fine-tuning)
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  │ ├── slow/driver<N>/routes/<Scenario>/<id>/<Town..>/ # conservative
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+ │ └── slow/lb1_split/routes_training/<Scenario>/<route>/<Town..>/ # SimLingo lb1_split routes, conservative (fine-tuning)
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  ├── commentary/simlingo/<same relative paths>/commentary.json
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  └── drivelm/simlingo/<same relative paths>/vqa.json
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  ```