Dataset Viewer
First Name
stringclasses 9
values | Last Name
stringclasses 9
values | Gender
stringclasses 2
values | Country
stringclasses 3
values | Age
int64 24
58
| Date
stringclasses 3
values | Id
int64 1.56k
6.55k
|
|---|---|---|---|---|---|---|
Dulce
|
Abril
|
Female
|
United States
| 32 |
15/10/2017
| 1,562 |
Mara
|
Hashimoto
|
Female
|
Great Britain
| 25 |
16/08/2016
| 1,582 |
Philip
|
Gent
|
Male
|
France
| 36 |
21/05/2015
| 2,587 |
Kathleen
|
Hanner
|
Female
|
United States
| 25 |
15/10/2017
| 3,549 |
Nereida
|
Magwood
|
Female
|
United States
| 58 |
16/08/2016
| 2,468 |
Gaston
|
Brumm
|
Male
|
United States
| 24 |
21/05/2015
| 2,554 |
Etta
|
Hurn
|
Female
|
Great Britain
| 56 |
15/10/2017
| 3,598 |
Earlean
|
Melgar
|
Female
|
United States
| 27 |
16/08/2016
| 2,456 |
Vincenza
|
Weiland
|
Female
|
United States
| 40 |
21/05/2015
| 6,548 |
Example DataFrame (Teeny-Tiny Castle)
This dataset is part of a tutorial tied to the Teeny-Tiny Castle, an open-source repository containing educational tools for AI Ethics and Safety research.
How to Use
from datasets import load_dataset
dataset = load_dataset("AiresPucrs/example-data-frame", split = 'train')
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