Dataset Viewer
Auto-converted to Parquet Duplicate
Id
int64
1
150
SepalLengthCm
float64
4.3
7.9
SepalWidthCm
float64
2
4.4
PetalLengthCm
float64
1
6.9
PetalWidthCm
float64
0.1
2.5
Species
stringclasses
3 values
1
5.1
3.5
1.4
0.2
Iris-setosa
2
4.9
3
1.4
0.2
Iris-setosa
3
4.7
3.2
1.3
0.2
Iris-setosa
4
4.6
3.1
1.5
0.2
Iris-setosa
5
5
3.6
1.4
0.2
Iris-setosa
6
5.4
3.9
1.7
0.4
Iris-setosa
7
4.6
3.4
1.4
0.3
Iris-setosa
8
5
3.4
1.5
0.2
Iris-setosa
9
4.4
2.9
1.4
0.2
Iris-setosa
10
4.9
3.1
1.5
0.1
Iris-setosa
11
5.4
3.7
1.5
0.2
Iris-setosa
12
4.8
3.4
1.6
0.2
Iris-setosa
13
4.8
3
1.4
0.1
Iris-setosa
14
4.3
3
1.1
0.1
Iris-setosa
15
5.8
4
1.2
0.2
Iris-setosa
16
5.7
4.4
1.5
0.4
Iris-setosa
17
5.4
3.9
1.3
0.4
Iris-setosa
18
5.1
3.5
1.4
0.3
Iris-setosa
19
5.7
3.8
1.7
0.3
Iris-setosa
20
5.1
3.8
1.5
0.3
Iris-setosa
21
5.4
3.4
1.7
0.2
Iris-setosa
22
5.1
3.7
1.5
0.4
Iris-setosa
23
4.6
3.6
1
0.2
Iris-setosa
24
5.1
3.3
1.7
0.5
Iris-setosa
25
4.8
3.4
1.9
0.2
Iris-setosa
26
5
3
1.6
0.2
Iris-setosa
27
5
3.4
1.6
0.4
Iris-setosa
28
5.2
3.5
1.5
0.2
Iris-setosa
29
5.2
3.4
1.4
0.2
Iris-setosa
30
4.7
3.2
1.6
0.2
Iris-setosa
31
4.8
3.1
1.6
0.2
Iris-setosa
32
5.4
3.4
1.5
0.4
Iris-setosa
33
5.2
4.1
1.5
0.1
Iris-setosa
34
5.5
4.2
1.4
0.2
Iris-setosa
35
4.9
3.1
1.5
0.1
Iris-setosa
36
5
3.2
1.2
0.2
Iris-setosa
37
5.5
3.5
1.3
0.2
Iris-setosa
38
4.9
3.1
1.5
0.1
Iris-setosa
39
4.4
3
1.3
0.2
Iris-setosa
40
5.1
3.4
1.5
0.2
Iris-setosa
41
5
3.5
1.3
0.3
Iris-setosa
42
4.5
2.3
1.3
0.3
Iris-setosa
43
4.4
3.2
1.3
0.2
Iris-setosa
44
5
3.5
1.6
0.6
Iris-setosa
45
5.1
3.8
1.9
0.4
Iris-setosa
46
4.8
3
1.4
0.3
Iris-setosa
47
5.1
3.8
1.6
0.2
Iris-setosa
48
4.6
3.2
1.4
0.2
Iris-setosa
49
5.3
3.7
1.5
0.2
Iris-setosa
50
5
3.3
1.4
0.2
Iris-setosa
51
7
3.2
4.7
1.4
Iris-versicolor
52
6.4
3.2
4.5
1.5
Iris-versicolor
53
6.9
3.1
4.9
1.5
Iris-versicolor
54
5.5
2.3
4
1.3
Iris-versicolor
55
6.5
2.8
4.6
1.5
Iris-versicolor
56
5.7
2.8
4.5
1.3
Iris-versicolor
57
6.3
3.3
4.7
1.6
Iris-versicolor
58
4.9
2.4
3.3
1
Iris-versicolor
59
6.6
2.9
4.6
1.3
Iris-versicolor
60
5.2
2.7
3.9
1.4
Iris-versicolor
61
5
2
3.5
1
Iris-versicolor
62
5.9
3
4.2
1.5
Iris-versicolor
63
6
2.2
4
1
Iris-versicolor
64
6.1
2.9
4.7
1.4
Iris-versicolor
65
5.6
2.9
3.6
1.3
Iris-versicolor
66
6.7
3.1
4.4
1.4
Iris-versicolor
67
5.6
3
4.5
1.5
Iris-versicolor
68
5.8
2.7
4.1
1
Iris-versicolor
69
6.2
2.2
4.5
1.5
Iris-versicolor
70
5.6
2.5
3.9
1.1
Iris-versicolor
71
5.9
3.2
4.8
1.8
Iris-versicolor
72
6.1
2.8
4
1.3
Iris-versicolor
73
6.3
2.5
4.9
1.5
Iris-versicolor
74
6.1
2.8
4.7
1.2
Iris-versicolor
75
6.4
2.9
4.3
1.3
Iris-versicolor
76
6.6
3
4.4
1.4
Iris-versicolor
77
6.8
2.8
4.8
1.4
Iris-versicolor
78
6.7
3
5
1.7
Iris-versicolor
79
6
2.9
4.5
1.5
Iris-versicolor
80
5.7
2.6
3.5
1
Iris-versicolor
81
5.5
2.4
3.8
1.1
Iris-versicolor
82
5.5
2.4
3.7
1
Iris-versicolor
83
5.8
2.7
3.9
1.2
Iris-versicolor
84
6
2.7
5.1
1.6
Iris-versicolor
85
5.4
3
4.5
1.5
Iris-versicolor
86
6
3.4
4.5
1.6
Iris-versicolor
87
6.7
3.1
4.7
1.5
Iris-versicolor
88
6.3
2.3
4.4
1.3
Iris-versicolor
89
5.6
3
4.1
1.3
Iris-versicolor
90
5.5
2.5
4
1.3
Iris-versicolor
91
5.5
2.6
4.4
1.2
Iris-versicolor
92
6.1
3
4.6
1.4
Iris-versicolor
93
5.8
2.6
4
1.2
Iris-versicolor
94
5
2.3
3.3
1
Iris-versicolor
95
5.6
2.7
4.2
1.3
Iris-versicolor
96
5.7
3
4.2
1.2
Iris-versicolor
97
5.7
2.9
4.2
1.3
Iris-versicolor
98
6.2
2.9
4.3
1.3
Iris-versicolor
99
5.1
2.5
3
1.1
Iris-versicolor
100
5.7
2.8
4.1
1.3
Iris-versicolor
End of preview. Expand in Data Studio

Dataset Card for Iris Dataset

Dataset Summary

The Iris dataset is a classic multivariate dataset introduced by Ronald Fisher in 1936. It contains 150 samples of iris flowers from three different species: Iris setosa, Iris versicolor, and Iris virginica. Each sample has four features: sepal length, sepal width, petal length, and petal width.

This dataset is widely used for classification tasks, especially in machine learning tutorials and benchmarks.


Dataset Structure

  • Instances: 150
  • Features:
    • sepal_length (float)
    • sepal_width (float)
    • petal_length (float)
    • petal_width (float)
    • species (label: 0 = setosa, 1 = versicolor, 2 = virginica)

Labels

There are 3 classes:

  • 0: Iris setosa
  • 1: Iris versicolor
  • 2: Iris virginica

Source

Original source: UCI Machine Learning Repository


License

Creative Commons Attribution 4.0 International (CC BY 4.0)


Intended Use

This dataset is intended for:

  • Educational purposes
  • Model prototyping
  • Benchmarking classification algorithms

Limitations

  • Small dataset: only 150 samples
  • Balanced classes, not suitable for testing imbalanced techniques

Example

sepal_length sepal_width petal_length petal_width species
5.1 3.5 1.4 0.2 Iris-setosa

Citation

If you use this dataset, consider citing:

Fisher, R.A. (1936) "The use of multiple measurements in taxonomic problems." Annals of Eugenics, 7, Part II, 179–188.

Downloads last month
3