File size: 2,969 Bytes
792bb31
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1a973a5
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
---
dataset_info:
  features:
  - name: Base_2_3/Zone
    list:
      list: int64
  - name: Base_2_3/Zone/CellData/CpMeanTrim
    list: float32
  - name: Base_2_3/Zone/CellData/pMeanTrim
    list: float32
  - name: Base_2_3/Zone/CellData/pPrime2MeanTrim
    list: float32
  - name: Base_2_3/Zone/CellData/wallShearStressMeanTrim_0
    list: float32
  - name: Base_2_3/Zone/CellData/wallShearStressMeanTrim_1
    list: float32
  - name: Base_2_3/Zone/CellData/wallShearStressMeanTrim_2
    list: float32
  - name: Base_2_3/Zone/Elements_QUAD_4/ElementConnectivity
    list: int64
  - name: Base_2_3/Zone/Elements_QUAD_4/ElementRange
    list: int64
  - name: Base_2_3/Zone/Elements_TRI_3/ElementConnectivity
    list: int64
  - name: Base_2_3/Zone/Elements_TRI_3/ElementRange
    list: int64
  - name: Base_2_3/Zone/GridCoordinates/CoordinateX
    list: float32
  - name: Base_2_3/Zone/GridCoordinates/CoordinateY
    list: float32
  - name: Base_2_3/Zone/GridCoordinates/CoordinateZ
    list: float32
  - name: Global/Approach_Angle
    list: float32
  - name: Global/Backlight_Angle
    list: float32
  - name: Global/Cd
    list: float32
  - name: Global/Cd_constref
    list: float32
  - name: Global/Cl
    list: float32
  - name: Global/Cl_constref
    list: float32
  - name: Global/Clf
    list: float32
  - name: Global/Clf_constref
    list: float32
  - name: Global/Clr
    list: float32
  - name: Global/Clr_constref
    list: float32
  - name: Global/Cs
    list: float32
  - name: Global/Cs_constref
    list: float32
  - name: Global/Decklid_Height
    list: float32
  - name: Global/Front_Overhang
    list: float32
  - name: Global/Front_Planview
    list: float32
  - name: Global/Greenhouse_Tapering
    list: float32
  - name: Global/Hood_Angle
    list: float32
  - name: Global/Rear_Diffusor_Angle
    list: float32
  - name: Global/Rear_Overhang
    list: float32
  - name: Global/Rearend_tapering
    list: float32
  - name: Global/Vehicle_Height
    list: float32
  - name: Global/Vehicle_Length
    list: float32
  - name: Global/Vehicle_Pitch
    list: float32
  - name: Global/Vehicle_Ride_Height
    list: float32
  - name: Global/Vehicle_Width
    list: float32
  - name: Global/Windscreen_Angle
    list: float32
  splits:
  - name: all_samples
    num_bytes: 1856671400
    num_examples: 3
  download_size: 1903509074
  dataset_size: 1856671400
configs:
- config_name: default
  data_files:
  - split: all_samples
    path: data/all_samples-*
---

This dataset:
- Only contains three samples taken from [neashton/drivaerml](https://huggingface.co/datasets/neashton/drivaerml), for debugging purposes.
- Only contains the surface fields.

You can try it out by running:

```python
import plaid.bridges.huggingface_bridge as hfb

ds = hfb.load_dataset_from_hub("Nionio/neashton-drivaerml-surface-3samples")
```

where [plaid](https://plaid-lib.github.io/) can be installed via: `pip install pyplaid` or `conda install -c conda-forge plaid`.