Datasets:
Formats:
parquet
Languages:
English
Size:
1K - 10K
ArXiv:
Tags:
embodied-ai
embodied-navigation
urban-airspace
drone-navigation
multimodal-reasoning
spatial-reasoning
License:
Polish dataset card wording
Browse filesRemove the explicit training-split disclaimer and keep the Parquet description focused on Dataset Viewer visualization.
README.md
CHANGED
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@@ -60,7 +60,7 @@ The canonical PKL file stores a list of Python dictionaries. Each sample contain
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| `gt_traj` | `float[N,3]` | Ground-truth trajectory points. |
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| `gt_traj_len` | `float` | Ground-truth trajectory length. |
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The Parquet table includes the same structured fields and additional convenience columns such as `sample_index`, `start_x`, `start_y`, `start_z`, `target_x`, `target_y`, `target_z`, and `gt_traj_num_points`. It is provided for browsing and visualization in the Hugging Face Dataset Viewer
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## Usage
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| `gt_traj` | `float[N,3]` | Ground-truth trajectory points. |
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| `gt_traj_len` | `float` | Ground-truth trajectory length. |
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+
The Parquet table includes the same structured fields and additional convenience columns such as `sample_index`, `start_x`, `start_y`, `start_z`, `target_x`, `target_y`, `target_z`, and `gt_traj_num_points`. It is provided for browsing and visualization in the Hugging Face Dataset Viewer.
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## Usage
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