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README.md
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- split: test
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path: data/test-*
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---
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- split: test
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path: data/test-*
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---
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# Dataset Structure
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This dataset contains vision data from cholecystectomy surgery (gallbladder removal).
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# Data Fields
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image: The PIL image of the surgery view.
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gonogo: The (360,640) label of background (0), safe (1), and unsafe (2).
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organs: The (360,640) label of background (0), liver (1), gallbladder (2), and hepatocystic triangle (3).
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# Data Splits
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train: 785 samples
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test: 230 samples
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Total: 1015 samples
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# Usage
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```
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from datasets import load_dataset
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train_dataset = load_dataset("BrachioLab/cholec", split="train")
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test_dataset = load_dataset("BrachioLab/cholec", split="test")
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```
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# Data split
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To note that we randomly split the data 8:2 so that our train/test splits have the same distribution. This could have overlap with other datasets that use cholec80 and M2CAI2016.
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Please take the overlap into consideration when you use auxiliary data for training.
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Videos in the training set:
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'M2CCAI2016_video103', 'cholec80_video44', 'M2CCAI2016_video92', 'cholec80_video47', 'cholec80_video59', 'cholec80_video74', 'M2CCAI2016_video98', 'cholec80_video65', 'M2CCAI2016_video81', 'cholec80_video05', 'M2CCAI2016_video90', 'cholec80_video13', 'M2CCAI2016_video83', 'M2CCAI2016_video115', 'cholec80_video22', 'cholec80_video19', 'M2CCAI2016_video114', 'cholec80_video23', 'M2CCAI2016_video86', 'cholec80_video53', 'cholec80_video39', 'M2CCAI2016_video121', 'cholec80_video51', 'M2CCAI2016_video87', 'cholec80_video08', 'cholec80_video07', 'cholec80_video27', 'cholec80_video12', 'M2CCAI2016_video84', 'M2CCAI2016_video106', 'cholec80_video15', 'cholec80_video61', 'cholec80_video43', 'M2CCAI2016_video117', 'M2CCAI2016_video109', 'cholec80_video46', 'cholec80_video35', 'cholec80_video18', 'cholec80_video37', 'M2CCAI2016_video112', 'M2CCAI2016_video99', 'cholec80_video67', 'cholec80_video71', 'M2CCAI2016_video104', 'cholec80_video50', 'M2CCAI2016_video110', 'M2CCAI2016_video100', 'M2CCAI2016_video102', 'M2CCAI2016_video94', 'cholec80_video80', 'cholec80_video20', 'cholec80_video34', 'M2CCAI2016_video96', 'cholec80_video69', 'cholec80_video25', 'cholec80_video60', 'cholec80_video64', 'cholec80_video48', 'M2CCAI2016_video118', 'M2CCAI2016_video108', 'cholec80_video73', 'M2CCAI2016_video101', 'cholec80_video77', 'cholec80_video79', 'M2CCAI2016_video105', 'cholec80_video54', 'cholec80_video30', 'cholec80_video49', 'cholec80_video14', 'cholec80_video62', 'M2CCAI2016_video120', 'M2CCAI2016_video88', 'cholec80_video42', 'cholec80_video09', 'cholec80_video76', 'M2CCAI2016_video93', 'M2CCAI2016_video91', 'cholec80_video45', 'cholec80_video68', 'M2CCAI2016_video111', 'cholec80_video32', 'cholec80_video70', 'M2CCAI2016_video119', 'cholec80_video41', 'cholec80_video75', 'cholec80_video38', 'M2CCAI2016_video89', 'cholec80_video16', 'cholec80_video26', 'cholec80_video72', 'cholec80_video29', 'cholec80_video21'
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Videos in the test set:
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'cholec80_video66', 'cholec80_video56', 'cholec80_video17', 'cholec80_video55', 'M2CCAI2016_video113', 'cholec80_video06', 'cholec80_video02', 'cholec80_video78', 'cholec80_video01', 'cholec80_video40', 'cholec80_video04', 'cholec80_video11', 'M2CCAI2016_video116', 'M2CCAI2016_video95', 'cholec80_video33', 'cholec80_video57', 'cholec80_video03', 'cholec80_video28', 'cholec80_video31', 'cholec80_video52', 'cholec80_video24', 'M2CCAI2016_video107', 'cholec80_video63', 'M2CCAI2016_video97', 'cholec80_video36', 'cholec80_video58'
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