Consider two datasets namely "ds1" and "ds2" . The structure of the dataset with the number of samples in each split is given below. Suppose we create a new dataset in the following ways. Assume necessary DatasetDict({ train: Dataset({ features: ['text', 'label'], num_rows: 25000 }) test: Dataset({ features: ['text', 'label'], num_rows: 25000 }) unsupervised: Dataset({ features: ['text', 'label'], num_rows: 50000 }) }) ds1 DatasetDict({ train: Dataset({ features: ['text', 'label'], num_rows: 8530 }) test: Dataset({ features: ['text', 'label'], num_rows: 1066 }) unsupervised: Dataset({ features: ['text', 'label'], num_rows: 1066 }) }) ds2 imports and the statements are executed independently (i.e., an error in executing a statement does not affect the execution of other statements). Select all the correct statements. ds3 = datasets.concatenate_datasets([ds1,ds2]) ds4 = datasets.concatenate_datasets([ds1['train'],ds2['train']]) ds5 = datasets.concatenate_datasets([ds1['train'],ds2['test']]) ds6 = datasets.concatenate_datasets( [ds1['train'],ds1['test'], ds2['train'],ds2['validation']])

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Deep Learning Practice · Quiz 1 · 27 Oct 2024 · September 2024 term

Question 8: Consider two datasets namely "ds1" and "ds2" . The struct…

Question 8

+4 marksOne or more correct options

Consider two datasets namely "ds1" and "ds2" . The structure of the dataset with the number of samples in each split is given below. Suppose we create a new dataset in the following ways. Assume necessary

python

1DatasetDict({
2    train: Dataset({
3        features: ['text', 'label'],
4        num_rows: 25000
5    })
6    test: Dataset({
7        features: ['text', 'label'],
8        num_rows: 25000
9    })
10    unsupervised: Dataset({
11        features: ['text', 'label'],
12        num_rows: 50000
13    })
14})

ds1

python

1DatasetDict({
2    train: Dataset({
3        features: ['text', 'label'],
4        num_rows: 8530
5    })
6    test: Dataset({
7        features: ['text', 'label'],
8        num_rows: 1066
9    })
10    unsupervised: Dataset({
11        features: ['text', 'label'],
12        num_rows: 1066
13    })
14})

ds2

imports and the statements are executed independently (i.e., an error in executing a statement does not affect the execution of other statements). Select all the correct statements.

python

1ds3 = datasets.concatenate_datasets([ds1,ds2])
2ds4 = datasets.concatenate_datasets([ds1['train'],ds2['train']])
3ds5 = datasets.concatenate_datasets([ds1['train'],ds2['test']])
4ds6 = datasets.concatenate_datasets(
5            [ds1['train'],ds1['test'],
6            ds2['train'],ds2['validation']])

Select all that apply.

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Question 8 of 15 in the IIT Madras BS Deep Learning Practice (Deep Learning Practice) Quiz 1 paper sat on 27 Oct 2024, in the September 2024 term (IIT M DEGREE AN EXAM QDB2 27 Oct 2024). It carries 4 marks.

Question 8: Consider two datasets namely "ds1" and "ds2" . The struct…

Question 8

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