import pandas as pd
data = {'col_1': [3, 2, 1, 0], 'col_2': ['a', 'b', 'c', 'd']}
pd.DataFrame.from_dict(data, orient='index').T>>> data = {'col_1': [3, 2, 1, 0], 'col_2': ['a', 'b', 'c', 'd']}
>>> pd.DataFrame.from_dict(data)
col_1 col_2
0 3 a
1 2 b
2 1 c
3 0 d
import datasets
import pandas as pd
train_df = pd.DataFrame({
"label" : [1, 2, 3],
"text" : ["apple", "pear", "strawberry"]
})
test_df = pd.DataFrame({
"label" : [2, 2, 1],
"text" : ["banana", "pear", "apple"]
})
train_dataset = Dataset.from_dict(train_df)
test_dataset = Dataset.from_dict(test_df)
my_dataset_dict = datasets.DatasetDict({"train":train_dataset,"test":test_dataset})