Hugging Face's logo

Datasets:
infinite-dataset-hub
/
GainDirectivitySet

Modalities:
Tabular
Text
Formats:
csv
Size:
< 1K
Tags:
infinite-dataset-hub
Synthetic
Libraries:
Datasets
pandas
License:
Dataset card Viewer Files Community
Dataset Viewer
Auto-converted to Parquet
Full Screen
idx
int64
0
99
label
stringlengths
5
12
Length_mm
int64
16
47
Width_mm
int64
35
73
S11_dB
float64
-21
-8
Gain_dBi
float64
-14
17.2
Directivity_dBi
float64
4
17.2
0
HighGain
30
50
-10
12.5
12.5
1
ModerateGain
25
45
-12
10.8
10.8
2
LowGain
20
40
-15
9
9
3
Optimized
32
55
-11
13.2
13.2
4
Ideal
35
60
-13
-12
12
5
HighGain
33
53
-9.5
13.5
13.5
6
ModerateGain
27
47
-13
11.2
11.2
7
LowGain
18
38
-17
-11
11
8
Optimized
37
58
-10.5
13.8
13.8
9
HighGain
30
50
-10
12.5
12.5
10
HighGain_001
38
58
-12
14.1
14.1
11
ModerateGain
23
42
-11.5
10.2
10.2
12
Sample1
18
38
-18
-5
5
13
Optimized
31
53
-12
11.8
11.8
14
Ideal_A
34
58
-12.5
13.8
13.8
15
HighGain
34
54
-8.8
14
14
16
ModerateGain
23
43
-14
9.6
9.6
17
LowGain
22
42
-16
-10
10
18
Optimized
39
57
-10.2
14.1
14.1
19
ModerateGain
25
45
-12
10.8
10.8
20
HighGain_002
34
52
-11
13.7
13.7
21
ModerateGain
26
47
-11.8
10.5
10.5
22
Sample2
22
42
-16
-4.5
4.5
23
Optimized
34
58
-14
12.9
12.9
24
Ideal_B
33
57
-12
13.5
13.5
25
HighGain
36
58
-10.2
15.2
15.2
26
ModerateGain
22
42
-14
9.2
9.2
27
LowGain
19
37
-18
-9
9.5
28
Optimized
40
56
-9.9
14.5
14.5
29
LowGain
20
40
-15
9
9
30
HighGain_003
40
60
-10
15.2
15.2
31
ModerateGain
22
43
-12
9.8
9.8
32
Sample3
24
44
-17
-4.8
4.8
33
Optimized
33
56
-13
11.7
11.7
34
Ideal_C
36
60
-11.5
14
14
35
HighGain
37
60
-10
14.8
14.8
36
ModerateGain
24
46
-13
10.4
10.4
37
LowGain
21
40
-17
-9
9.3
38
Optimized
41
55
-9.7
14.7
14.7
39
Optimized
32
55
-11
13.2
13.2
40
HighGain_004
35
55
-9
13.8
13.8
41
ModerateGain
24
46
-12.3
10.1
10.1
42
Sample4
19
39
-19
-5.2
5.2
43
Optimized
30
52
-11
12.3
12.3
44
Ideal_D
31
53
-11
12.2
12.2
45
HighGain
38
62
-9.8
15
15
46
ModerateGain
28
53
-12
11.8
11.8
47
LowGain
20
39
-19
-8
8.5
48
Optimized
42
54
-9.4
15
15
49
Ideal
35
60
-13
-12
12
50
HighGain_005
36
57
-13
14.3
14.3
51
ModerateGain
25
44
-12.5
10.3
10.3
52
Sample5
20
40
-20
-5
5
53
Optimized
32
54
-12
12.5
12.5
54
Ideal_E
37
61
-10.5
14.3
14.3
55
HighGain
40
65
-9.6
16
16
56
ModerateGain
26
50
-13
11.4
11.4
57
LowGain
23
43
-16
-7
7.8
58
Optimized
43
53
-9.1
15.2
15.2
59
Ideal
37
62
-14
-13
12.5
60
HighGain_006
39
61
-14
13.5
13.5
61
ModerateGain
23
41
-11.7
9.9
9.9
62
Sample6
21
41
-18
-4.7
4.7
63
Optimized
33
57
-14
12.8
12.8
64
Ideal_F
32
56
-12.5
13.6
13.6
65
HighGain
41
67
-9.4
15.8
15.8
66
ModerateGain
21
41
-14
8.8
8.8
67
LowGain
17
36
-20
-6
7
68
Optimized
44
52
-8.9
15.4
15.4
69
Ideal
33
57
-12
-11
11.8
70
HighGain_007
41
62
-11
14.6
14.6
71
ModerateGain
27
48
-11.9
10.4
10.4
72
Sample7
23
43
-16
-4.4
4.4
73
Optimized
35
61
-13
12.6
12.6
74
Ideal_G
35
60
-11.5
14.1
14.1
75
HighGain
42
69
-9.2
16.5
16.5
76
ModerateGain
25
45
-13
10.8
10.8
77
LowGain
24
41
-15
-6
6.8
78
Optimized
45
51
-8.6
15.7
15.7
79
Ideal
34
59
-13
-12
12.2
80
HighGain_008
33
50
-12
12.9
12.9
81
ModerateGain
21
45
-12.1
9.6
9.6
82
Sample8
26
46
-15
-4.1
4.1
83
Optimized
34
59
-12
11.9
11.9
84
Ideal_H
30
52
-13
11.8
11.8
85
HighGain
43
71
-9
17
17
86
ModerateGain
29
54
-12
12.2
12.2
87
LowGain
16
35
-21
-5
6.5
88
Optimized
46
50
-8.3
16
16
89
Ideal
36
61
-15
-13
12.8
90
HighGain_009
42
63
-10
15.4
15.4
91
ModerateGain
28
49
-12.2
10.6
10.6
92
Sample9
28
48
-14
-4
4
93
Optimized
31
53
-12
12
12
94
Ideal_I
38
62
-11
14.5
14.5
95
HighGain
44
73
-8.9
17.2
17.2
96
ModerateGain
23
43
-13
9.6
9.6
97
LowGain
25
44
-14
-5
6.2
98
Optimized
47
49
-8
16.2
16.2
99
Ideal
38
63
-16
-14
13.3

GainDirectivitySet

tags: DirectivityPrediction, AntennaGain, S11Dataset

Note: This is an AI-generated dataset so its content may be inaccurate or false

Dataset Description:

The 'GainDirectivitySet' dataset is a curated collection of data points relevant to patch antennas used in various communication systems. It focuses on evaluating the antenna's performance by capturing the essential attributes that influence gain and directivity. For this particular dataset, we consider the antenna's physical dimensions (length and width) and their impact on the S11 parameter, which reflects the antenna's return loss and is critical for understanding the efficiency of the antenna. The 'gain' attribute measures how well the antenna directs radio frequency energy, while 'directivity' provides insights into how focused the antenna's radiation pattern is in a particular direction.

Each entry in the dataset contains the physical dimensions of the patch antenna, the S11 parameter, and both gain and directivity values. These attributes are necessary for predictive modeling and design optimization in antenna engineering.

CSV Content Preview:

label,Length_mm,Width_mm,S11_dB,Gain_dBi,Directivity_dBi
HighGain,30,50,-10,12.5,12.5
ModerateGain,25,45,-12,10.8,10.8
LowGain,20,40,-15,9.0,9.0
Optimized,32,55,-11,13.2,13.2
Ideal,35,60,-13,-12,12.0

Source of the data:

The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query 'patch antenna length width gain s11 directivity':

Downloads last month
4
Size of downloaded dataset files:
3.5 kB
Size of the auto-converted Parquet files:
5.97 kB
Number of rows:
100