webxos commited on
Commit
5c693a6
·
verified ·
1 Parent(s): e1d2e8c

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +0 -8
README.md CHANGED
@@ -68,8 +68,6 @@ for various magnet configurations.
68
 
69
  English
70
 
71
- ## Dataset Structure
72
-
73
  ### Data Instances
74
 
75
  Each instance contains:
@@ -83,8 +81,6 @@ Each instance contains:
83
 
84
  The dataset has only a train split with 71,225 examples.
85
 
86
- ## Dataset Creation
87
-
88
  ### Curation Rationale
89
 
90
  This dataset was created to provide high-quality simulated magnetic field data for machine learning research in physics and engineering.
@@ -101,8 +97,6 @@ No annotations, only raw simulation data.
101
 
102
  None.
103
 
104
- ## Considerations for Using the Data
105
-
106
  ### Social Impact of Dataset
107
 
108
  This dataset enables research in electromagnetic field prediction and physics-informed machine learning.
@@ -115,8 +109,6 @@ The data is synthetic and evenly distributed across magnet types.
115
 
116
  Data is simulated and may not match real-world measurements exactly.
117
 
118
- ## Additional Information
119
-
120
  ### Dataset Curators
121
 
122
  webXOS Team
 
68
 
69
  English
70
 
 
 
71
  ### Data Instances
72
 
73
  Each instance contains:
 
81
 
82
  The dataset has only a train split with 71,225 examples.
83
 
 
 
84
  ### Curation Rationale
85
 
86
  This dataset was created to provide high-quality simulated magnetic field data for machine learning research in physics and engineering.
 
97
 
98
  None.
99
 
 
 
100
  ### Social Impact of Dataset
101
 
102
  This dataset enables research in electromagnetic field prediction and physics-informed machine learning.
 
109
 
110
  Data is simulated and may not match real-world measurements exactly.
111
 
 
 
112
  ### Dataset Curators
113
 
114
  webXOS Team