Update README.md

README.md

@@ -22,3 +22,48 @@ configs:
   - split: test
     path: data/test-*
 ---
+
+# Simple Math
+
+Just like my teacher gave me homework, i thought maybe we can also add some of these basics on the trainings of our models.
+
+It was created with this code, if you add more complex operations and so.. please share the code :D thank you
+```
+import random
+# Define the number of samples you want to generate
+num_samples = 500000
+# Define the range for the random numbers
+min_value = -99.99
+max_value = 99.99
+# Define the arithmetic operations
+operations = ['+', '-', '*', '/']
+# Generate data
+data = []
+for _ in range(num_samples):
+    num1 = float("%.3f" % random.uniform(min_value, max_value))
+    num2 = float("%.3f" % random.uniform(min_value, max_value))
+    while num2 == 0.0:
+         num2 = float("%.3f" % random.uniform(min_value, max_value))
+    while num1 == 0.0:
+         num1 = float("%.3f" % random.uniform(min_value, max_value))
+    operation = random.choice(operations)
+    if operation == '/':
+        result = num1 / num2
+    elif operation == '-':
+        result = num1 - num2
+    elif operation == '*':
+        result = num1 * num2
+    elif operation == '+':
+        result = num1 + num2
+    output = "%.4f" % result
+    instruction = f"{num1} {operation} {num2}"
+    data.append({'instruction': instruction, 'output': output})
+# Create the dataset
+import json
+out_file = 'arithmetic-float4a.json'
+with open(out_file, 'w') as f:
+    json.dump(data, f)
+```
+
+If you use Simple Math o train your model, please cite on the modelcard or the paper.
+Thank you