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chore: import upstream snapshot with attribution

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wehub-resource-sync
2026-07-13 13:22:34 +08:00
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tests/tensorflow/iris_training.csv
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120,4,setosa,versicolor,virginica
6.4,2.8,5.6,2.2,2
5.0,2.3,3.3,1.0,1
4.9,2.5,4.5,1.7,2
4.9,3.1,1.5,0.1,0
5.7,3.8,1.7,0.3,0
4.4,3.2,1.3,0.2,0
5.4,3.4,1.5,0.4,0
6.9,3.1,5.1,2.3,2
6.7,3.1,4.4,1.4,1
5.1,3.7,1.5,0.4,0
5.2,2.7,3.9,1.4,1
6.9,3.1,4.9,1.5,1
5.8,4.0,1.2,0.2,0
5.4,3.9,1.7,0.4,0
7.7,3.8,6.7,2.2,2
6.3,3.3,4.7,1.6,1
6.8,3.2,5.9,2.3,2
7.6,3.0,6.6,2.1,2
6.4,3.2,5.3,2.3,2
5.7,4.4,1.5,0.4,0
6.7,3.3,5.7,2.1,2
6.4,2.8,5.6,2.1,2
5.4,3.9,1.3,0.4,0
6.1,2.6,5.6,1.4,2
7.2,3.0,5.8,1.6,2
5.2,3.5,1.5,0.2,0
5.8,2.6,4.0,1.2,1
5.9,3.0,5.1,1.8,2
5.4,3.0,4.5,1.5,1
6.7,3.0,5.0,1.7,1
6.3,2.3,4.4,1.3,1
5.1,2.5,3.0,1.1,1
6.4,3.2,4.5,1.5,1
6.8,3.0,5.5,2.1,2
6.2,2.8,4.8,1.8,2
6.9,3.2,5.7,2.3,2
6.5,3.2,5.1,2.0,2
5.8,2.8,5.1,2.4,2
5.1,3.8,1.5,0.3,0
4.8,3.0,1.4,0.3,0
7.9,3.8,6.4,2.0,2
5.8,2.7,5.1,1.9,2
6.7,3.0,5.2,2.3,2
5.1,3.8,1.9,0.4,0
4.7,3.2,1.6,0.2,0
6.0,2.2,5.0,1.5,2
4.8,3.4,1.6,0.2,0
7.7,2.6,6.9,2.3,2
4.6,3.6,1.0,0.2,0
7.2,3.2,6.0,1.8,2
5.0,3.3,1.4,0.2,0
6.6,3.0,4.4,1.4,1
6.1,2.8,4.0,1.3,1
5.0,3.2,1.2,0.2,0
7.0,3.2,4.7,1.4,1
6.0,3.0,4.8,1.8,2
7.4,2.8,6.1,1.9,2
5.8,2.7,5.1,1.9,2
6.2,3.4,5.4,2.3,2
5.0,2.0,3.5,1.0,1
5.6,2.5,3.9,1.1,1
6.7,3.1,5.6,2.4,2
6.3,2.5,5.0,1.9,2
6.4,3.1,5.5,1.8,2
6.2,2.2,4.5,1.5,1
7.3,2.9,6.3,1.8,2
4.4,3.0,1.3,0.2,0
7.2,3.6,6.1,2.5,2
6.5,3.0,5.5,1.8,2
5.0,3.4,1.5,0.2,0
4.7,3.2,1.3,0.2,0
6.6,2.9,4.6,1.3,1
5.5,3.5,1.3,0.2,0
7.7,3.0,6.1,2.3,2
6.1,3.0,4.9,1.8,2
4.9,3.1,1.5,0.1,0
5.5,2.4,3.8,1.1,1
5.7,2.9,4.2,1.3,1
6.0,2.9,4.5,1.5,1
6.4,2.7,5.3,1.9,2
5.4,3.7,1.5,0.2,0
6.1,2.9,4.7,1.4,1
6.5,2.8,4.6,1.5,1
5.6,2.7,4.2,1.3,1
6.3,3.4,5.6,2.4,2
4.9,3.1,1.5,0.1,0
6.8,2.8,4.8,1.4,1
5.7,2.8,4.5,1.3,1
6.0,2.7,5.1,1.6,1
5.0,3.5,1.3,0.3,0
6.5,3.0,5.2,2.0,2
6.1,2.8,4.7,1.2,1
5.1,3.5,1.4,0.3,0
4.6,3.1,1.5,0.2,0
6.5,3.0,5.8,2.2,2
4.6,3.4,1.4,0.3,0
4.6,3.2,1.4,0.2,0
7.7,2.8,6.7,2.0,2
5.9,3.2,4.8,1.8,1
5.1,3.8,1.6,0.2,0
4.9,3.0,1.4,0.2,0
4.9,2.4,3.3,1.0,1
4.5,2.3,1.3,0.3,0
5.8,2.7,4.1,1.0,1
5.0,3.4,1.6,0.4,0
5.2,3.4,1.4,0.2,0
5.3,3.7,1.5,0.2,0
5.0,3.6,1.4,0.2,0
5.6,2.9,3.6,1.3,1
4.8,3.1,1.6,0.2,0
6.3,2.7,4.9,1.8,2
5.7,2.8,4.1,1.3,1
5.0,3.0,1.6,0.2,0
6.3,3.3,6.0,2.5,2
5.0,3.5,1.6,0.6,0
5.5,2.6,4.4,1.2,1
5.7,3.0,4.2,1.2,1
4.4,2.9,1.4,0.2,0
4.8,3.0,1.4,0.1,0
5.5,2.4,3.7,1.0,1
1 120 4 setosa versicolor virginica
2 6.4 2.8 5.6 2.2 2
3 5.0 2.3 3.3 1.0 1
4 4.9 2.5 4.5 1.7 2
5 4.9 3.1 1.5 0.1 0
6 5.7 3.8 1.7 0.3 0
7 4.4 3.2 1.3 0.2 0
8 5.4 3.4 1.5 0.4 0
9 6.9 3.1 5.1 2.3 2
10 6.7 3.1 4.4 1.4 1
11 5.1 3.7 1.5 0.4 0
12 5.2 2.7 3.9 1.4 1
13 6.9 3.1 4.9 1.5 1
14 5.8 4.0 1.2 0.2 0
15 5.4 3.9 1.7 0.4 0
16 7.7 3.8 6.7 2.2 2
17 6.3 3.3 4.7 1.6 1
18 6.8 3.2 5.9 2.3 2
19 7.6 3.0 6.6 2.1 2
20 6.4 3.2 5.3 2.3 2
21 5.7 4.4 1.5 0.4 0
22 6.7 3.3 5.7 2.1 2
23 6.4 2.8 5.6 2.1 2
24 5.4 3.9 1.3 0.4 0
25 6.1 2.6 5.6 1.4 2
26 7.2 3.0 5.8 1.6 2
27 5.2 3.5 1.5 0.2 0
28 5.8 2.6 4.0 1.2 1
29 5.9 3.0 5.1 1.8 2
30 5.4 3.0 4.5 1.5 1
31 6.7 3.0 5.0 1.7 1
32 6.3 2.3 4.4 1.3 1
33 5.1 2.5 3.0 1.1 1
34 6.4 3.2 4.5 1.5 1
35 6.8 3.0 5.5 2.1 2
36 6.2 2.8 4.8 1.8 2
37 6.9 3.2 5.7 2.3 2
38 6.5 3.2 5.1 2.0 2
39 5.8 2.8 5.1 2.4 2
40 5.1 3.8 1.5 0.3 0
41 4.8 3.0 1.4 0.3 0
42 7.9 3.8 6.4 2.0 2
43 5.8 2.7 5.1 1.9 2
44 6.7 3.0 5.2 2.3 2
45 5.1 3.8 1.9 0.4 0
46 4.7 3.2 1.6 0.2 0
47 6.0 2.2 5.0 1.5 2
48 4.8 3.4 1.6 0.2 0
49 7.7 2.6 6.9 2.3 2
50 4.6 3.6 1.0 0.2 0
51 7.2 3.2 6.0 1.8 2
52 5.0 3.3 1.4 0.2 0
53 6.6 3.0 4.4 1.4 1
54 6.1 2.8 4.0 1.3 1
55 5.0 3.2 1.2 0.2 0
56 7.0 3.2 4.7 1.4 1
57 6.0 3.0 4.8 1.8 2
58 7.4 2.8 6.1 1.9 2
59 5.8 2.7 5.1 1.9 2
60 6.2 3.4 5.4 2.3 2
61 5.0 2.0 3.5 1.0 1
62 5.6 2.5 3.9 1.1 1
63 6.7 3.1 5.6 2.4 2
64 6.3 2.5 5.0 1.9 2
65 6.4 3.1 5.5 1.8 2
66 6.2 2.2 4.5 1.5 1
67 7.3 2.9 6.3 1.8 2
68 4.4 3.0 1.3 0.2 0
69 7.2 3.6 6.1 2.5 2
70 6.5 3.0 5.5 1.8 2
71 5.0 3.4 1.5 0.2 0
72 4.7 3.2 1.3 0.2 0
73 6.6 2.9 4.6 1.3 1
74 5.5 3.5 1.3 0.2 0
75 7.7 3.0 6.1 2.3 2
76 6.1 3.0 4.9 1.8 2
77 4.9 3.1 1.5 0.1 0
78 5.5 2.4 3.8 1.1 1
79 5.7 2.9 4.2 1.3 1
80 6.0 2.9 4.5 1.5 1
81 6.4 2.7 5.3 1.9 2
82 5.4 3.7 1.5 0.2 0
83 6.1 2.9 4.7 1.4 1
84 6.5 2.8 4.6 1.5 1
85 5.6 2.7 4.2 1.3 1
86 6.3 3.4 5.6 2.4 2
87 4.9 3.1 1.5 0.1 0
88 6.8 2.8 4.8 1.4 1
89 5.7 2.8 4.5 1.3 1
90 6.0 2.7 5.1 1.6 1
91 5.0 3.5 1.3 0.3 0
92 6.5 3.0 5.2 2.0 2
93 6.1 2.8 4.7 1.2 1
94 5.1 3.5 1.4 0.3 0
95 4.6 3.1 1.5 0.2 0
96 6.5 3.0 5.8 2.2 2
97 4.6 3.4 1.4 0.3 0
98 4.6 3.2 1.4 0.2 0
99 7.7 2.8 6.7 2.0 2
100 5.9 3.2 4.8 1.8 1
101 5.1 3.8 1.6 0.2 0
102 4.9 3.0 1.4 0.2 0
103 4.9 2.4 3.3 1.0 1
104 4.5 2.3 1.3 0.3 0
105 5.8 2.7 4.1 1.0 1
106 5.0 3.4 1.6 0.4 0
107 5.2 3.4 1.4 0.2 0
108 5.3 3.7 1.5 0.2 0
109 5.0 3.6 1.4 0.2 0
110 5.6 2.9 3.6 1.3 1
111 4.8 3.1 1.6 0.2 0
112 6.3 2.7 4.9 1.8 2
113 5.7 2.8 4.1 1.3 1
114 5.0 3.0 1.6 0.2 0
115 6.3 3.3 6.0 2.5 2
116 5.0 3.5 1.6 0.6 0
117 5.5 2.6 4.4 1.2 1
118 5.7 3.0 4.2 1.2 1
119 4.4 2.9 1.4 0.2 0
120 4.8 3.0 1.4 0.1 0
121 5.5 2.4 3.7 1.0 1