Update README.md

README.md

@@ -311,7 +311,6 @@ Dataset is organized by yealry-comments and submissions -- comments-2020, commen
 | c/AskWin | 39,308 |
 
 </details>
-<br>
 
 <details>
   <summary>  <b> Submission data fields are as following: </b> </summary>
@@ -347,7 +346,6 @@ Dataset is organized by yealry-comments and submissions -- comments-2020, commen
 - `post_flair_text` & `post_flair_class`: Similar to Reddit submission flairs, which is a way to tag a submission with a certain keywords.
 ```
 </details>
-<br>
 
 <details>
   <summary>  <b> Comments data fields are as following: </b> </summary>
@@ -367,10 +365,34 @@ Dataset is organized by yealry-comments and submissions -- comments-2020, commen
 - `is_deleted`
 ```
 </details>
-<br>
 
 > Read more about the fields and methodology from the [paper](https://arxiv.org/abs/2405.10233).
 
+### Dataset fields Nullability:
+
+- If field (column) doesn't have a value, the fields are left with an empty value.
+  - For instance, in the case of post deletion as a moderation measure, `title` of submission can have no value.
+  - We do not explicit mark value as "Null" for any of the column in our dataset except `embedding` column.
+- Only, embedding column contains explicit "Null" value.
+  
+For eliminating empty records using `pandas`, the code looks like below:
+
+```python
+# Load dataset for `comments-2020` config
+dataset = load_dataset("iDRAMALab/iDRAMA-scored-2024", name="comments-2020")
+pd_df = dataset["train"].to_pandas()
+
+# Remove all empty records based on empty `title` column
+pd_df = pdf_df[pd_df.title != ""]
+
+# Remove all records which do not have `author` information
+pd_df = pdf_df[pd_df.author != ""]
+
+# Remove all records which do not have generated embeddings
+pd_df = pdf_df[~pd_df.embedding.isna()]
+
+```
+
 # Version
 
 - **Maintenance Status:** Active