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@@ -150,7 +150,7 @@ This dataset is designed to facilitate research in areas such as multi-view 3D r
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  ## Dataset Structure
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- The dataset is structured into splits based on the `split` field in the original data. The standard splits are `train`, `validation` (mapped from `val`), and `test`.
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  Each split is a standard Hugging Face `Dataset` object. Each row in the dataset corresponds to a single detected bird instance in a single frame, with associated multi-modal data.
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@@ -161,7 +161,7 @@ from datasets import load_dataset
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  dataset = load_dataset("anonymous-submission000/bird3m") # Replace with your actual repo_id
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  train_dataset = dataset["train"]
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- validation_dataset = dataset["validation"] # Or whatever your split is named if not 'val'
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  test_dataset = dataset["test"]
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  ```
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@@ -185,7 +185,7 @@ Each example in the dataset has the following fields:
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  * `side_view_boundary` (`Sequence[int64]`): View boundary coordinates for the **side** view. (Format similar to `back_view_boundary`).
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  * `backpack_color` (`string`): Color of the backpack tag on the bird (e.g., "purple", "yellow", "red").
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  * `experiment_id` (`string`): Simplified experiment identifier (e.g., "copExpBP03", "juvExpBP05").
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- * `split` (`string`): Dataset split for this example ("train", "validation", "test").
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  * `top_bbox_2d` (`Sequence[float64]`): 2D bounding box for the **top** camera view. (Format similar to `back_bbox_2d`).
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  * `top_keypoints_2d` (`Sequence[float64]`): 2D keypoint coordinates and visibility for the **top** camera view. (Format similar to `back_keypoints_2d`).
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  * `top_view_boundary` (`Sequence[int64]`): View boundary coordinates for the **top** view. (Format similar to `back_view_boundary`).
 
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  ## Dataset Structure
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+ The dataset is structured into splits based on the `split` field in the original data. The standard splits are `train`, `val` (mapped from `val`), and `test`.
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  Each split is a standard Hugging Face `Dataset` object. Each row in the dataset corresponds to a single detected bird instance in a single frame, with associated multi-modal data.
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  dataset = load_dataset("anonymous-submission000/bird3m") # Replace with your actual repo_id
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  train_dataset = dataset["train"]
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+ val_dataset = dataset["val"]
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  test_dataset = dataset["test"]
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  ```
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  * `side_view_boundary` (`Sequence[int64]`): View boundary coordinates for the **side** view. (Format similar to `back_view_boundary`).
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  * `backpack_color` (`string`): Color of the backpack tag on the bird (e.g., "purple", "yellow", "red").
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  * `experiment_id` (`string`): Simplified experiment identifier (e.g., "copExpBP03", "juvExpBP05").
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+ * `split` (`string`): Dataset split for this example ("train", "val", "test").
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  * `top_bbox_2d` (`Sequence[float64]`): 2D bounding box for the **top** camera view. (Format similar to `back_bbox_2d`).
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  * `top_keypoints_2d` (`Sequence[float64]`): 2D keypoint coordinates and visibility for the **top** camera view. (Format similar to `back_keypoints_2d`).
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  * `top_view_boundary` (`Sequence[int64]`): View boundary coordinates for the **top** view. (Format similar to `back_view_boundary`).