Error creating unique object detection data set <ValueError:tuple.index(x):x not intuple>

import chainer
import cupy
import chain cv
import matplotlib
importos
import xml.etree.ElementTree as ET

import numpy as np

from chainercv.datasets import VOCBboxDataset


bccd_labels=('ROCK', 'MOUNTAIN')# Changes


class BCCDDataset (VOCBboxDataset):

    def_get_annotations(self, i):
        id_=self.ids[i]
        anno = ET.parse(
            os.path.join(self.data_dir, 'Annotations', id_+'.xml')

        bbox=[ ]
        label = [ ]
        difficult = [ ]
        for obj in anno.findall('object'):
            bndbox_anno=obj.find('bndbox')

            bbox.append([
                int(bndbox_anno.find(tag).text)-1
                for tag in ('ymin', 'xmin', 'ymax', 'xmax')])
            name=obj.find('name').text.lower().strip()
            label.append(bccd_labels.index(name))
            print(bccd_labels.index(obj.find('name').text.lower().strip()))
        bbox=np.stack(bbox).astype(np.float32)
        label=np.stack(label).astype(np.int32)

        difficult=np.array(difficult,dtype=np.bool)
        return bbox, label, different
train_dataset = BCCDDataset('rock_detect_dataset/BCCD', 'train')
valid_dataset = BCCDDataset('rock_detect_dataset/BCCD', 'val')
test_dataset = BCCDDataset('rock_detect_dataset/BCCD', 'test')
print('Number of images in "train" dataset:', len(train_dataset))
print('Number of images in"valid" dataset:',len(valid_dataset))
print('Number of images in "test" dataset:', len(test_dataset))
first_datum = train_dataset [0]

!pip install chainercv#Installing ChainerCV

import chain
import cupy
import chain cv
import matplotlib
!if [!-d BCCD_Dataset]; then git clone https://github.com/Shenggan/BCCD_Dataset.git; fi

importos
import xml.etree.ElementTree as ET

import numpy as np

from chainercv.datasets import VOCBboxDataset


bccd_labels=('rbc', 'wbc', 'platelets')


class BCCDDataset (VOCBboxDataset):

    def_get_annotations(self, i):
        id_=self.ids[i]

        anno = ET.parse(
            os.path.join(self.data_dir, 'Annotations', id_+'.xml')

        bbox=[ ]
        label = [ ]
        difficult = [ ]
        for obj in anno.findall('object'):
            bndbox_anno=obj.find('bndbox')

            bbox.append([
                int(bndbox_anno.find(tag).text)-1
                for tag in ('ymin', 'xmin', 'ymax', 'xmax')])
            name=obj.find('name').text.lower().strip()
            label.append(bccd_labels.index(name))
        bbox=np.stack(bbox).astype(np.float32)
        label=np.stack(label).astype(np.int32)

        difficult=np.array(difficult,dtype=np.bool)
        return bbox, label, different

train_dataset = BCCDDataset('BCCD_Dataset/BCCD', 'train')
valid_dataset = BCCDDataset('BCCD_Dataset/BCCD', 'val')
test_dataset = BCCDDataset('BCCD_Dataset/BCCD', 'test')

first_datum = train_dataset [0]

<announcement>
    <folder>JPGImages</folder>
    <filename>hogehoge.jpg</filename>
    <path>hogehoge</path>
    <source>
        <database>Unknown</database>
    </source>
    <size>
        <width>720</width>
        <height>1080</height>
        <depth>3</depth>
    </size>
    <segmented>0</segmented>
    <object>
        <name>MOUNTAIN</name>
        <pose>Unspecified</pose>
        <truncated>0</truncated>
        <diffault>0</diffault>
        <bndbox>
            <xmin>242.6123427801162</xmin>
            <ymin>279.4234910191407</ymin>
            <xmax>720</xmax>
            <ymax>706.8194993286604</ymax>
        </bndbox>
    </object>
</annotation>

ValueErrorTraceback (most recent call last)
<ipython-input-59-8cd07929f6af>in<module>
---->1st_datum=train_dataset[0]
      2 print (first_datum[0].shape, first_datum[0].dtype)

/usr/local/lib/python 3.6/dist-packages/chain/dataset/dataset_mixin.py in __getitem__(self, index)
     65 return [self.get_example(i)for i in index]
     66 else:
--- >67 return self.get_example(index)
     68 
     69 def__len__(self):

/usr/local/lib/python 3.6/dist-packages/chainercv/chainer_experimental/datasets/slicable/slicable_dataset.py inget_example(self, index)
     96 if isinstance(self.keys,tuple):
     97 return self.get_example_by_keys(
--- >98 index,tuple (range(len(self.keys)))
     99 else:
    100 return self.get_example_by_keys(index,(0,))[0]

/usr/local/lib/python 3.6/dist-packages/chainercv/chainer_experimental/datasets/slicable/getter_dataset.py inget_example_by_keys(self,index,key_indices)
     87_,getter_index,key_index=self._keys [key_index]
     88 if getter_index not in cache:
--- >89cache [getter_index] = self._getters [getter_index] (index)
     90 if key_index is None:
     91 example.append (cache [getter_index])

<ipython-input-55-501a46a571b5>in_get_annotations(self, i)
     33 for tag in ('ymin', 'xmin', 'ymax', 'xmax')])
     34 name = obj.find('name').text.lower().strip()
--- >35 label.append(bccd_labels.index(name))
     36 print(bccd_labels.index(obj.find('name').text.lower().strip()))
     37 bbox=np.stack(bbox).astype(np.float32)

ValueError:tuple.index(x):x not intuple