Update README.md

README.md

@@ -44,6 +44,15 @@ dataset_info:
     num_examples: 411232
   download_size: 311064786
   dataset_size: 566804417
+language:
+- code
+- en
+task_categories:
+- question-answering
+- text-generation
+- text2text-generation
+tags:
+- code
 ---
 # Cross Validated / stats.stackexchange.com
 
@@ -102,7 +111,9 @@ for sample in iter(ds): print(sample["Body"])
 The original Data Dump formats the "Body" field as HTML, using tags such as `<code>`, `<h1>`, `<ul>`, etc.
 This HTML format has been converted to Markdown following [mikex86/stackoverflow-posts](https://huggingface.co/datasets/mikex86/stackoverflow-posts) conversion rule.
 
-```markdown
+
+**Example:**
+
 After differencing I saw that my constant/intercept is not statistically significant. Does anybody know how to fit the same model without the const term?
 im using statsmodels.tsa.arima.model
 To give a relative example I have: `ARIMA(data, order=(3,0,0))` an AR(3) model and say it that the second coefficient is insignificant. I can get rid of it by typing
@@ -111,4 +122,4 @@ ARMA(data,order=([1, 3], 0, 0)
 ```
 
 but how can I get rid of coefficient??
-```
+