Update README.md

README.md

@@ -27,7 +27,9 @@ configs:
 
 I picked the subreddits that were the most popular.  I did not pick NSFW but there is probably some NSFW language in here.
 
-Here are the subreddits:
+The comment scores were filtered. If the comment was 1 or less then it was not included.  This means at least one person would have had to upvote a comment.
+
+The subreddits in the dataset are:
 
 * AskReddit
 * worldnews
@@ -57,6 +59,69 @@ Here are the subreddits:
 * creepy
 * nosleep
 
+## Loading the dataset
+
+Each entry in the dataset includes the following columns:
+- **title**: The title of the Reddit post.
+- **selftext**: The body text of the Reddit post.
+- **top_comment**: The top comment on the Reddit post.
+- **subreddit**: The subreddit where the post was made.
+
+### 1. Loading the Entire Dataset
+
+To load the entire dataset, use the following code:
+
+```python
+from datasets import load_dataset
+
+# Load the dataset
+dataset = load_dataset("cowWhySo/reddit_top_comments")
+```
+
+### 2. Loading Specific Splits
+To load specific splits of the dataset:
+
+```python
+from datasets import load_dataset
+
+# Load the train split
+train_dataset = load_dataset("cowWhySo/reddit_top_comments", split="train")
+
+# Load the validation split
+validation_dataset = load_dataset("cowWhySo/reddit_top_comments", split="validation")
+
+# Load the test split
+test_dataset = load_dataset("cowWhySo/reddit_top_comments", split="test")
+```
+
+### 3. Streaming the Dataset
+You can stream the data:
+
+```python
+from datasets import load_dataset
+
+# Stream the train split
+train_streaming = load_dataset("cowWhySo/reddit_top_comments", split="train", streaming=True)
+
+# Iterate through the dataset
+for example in train_streaming:
+    print(example)
+    break  # Just print the first example for demonstration
+```
+
+### 4. Loading a Specific Slice
+To load a specific portion of the dataset:
+
+```python
+from datasets import load_dataset
+
+# Load the first 10% of the train split
+train_slice = load_dataset("your-username/your-dataset-name", split="train[:10%]")
+
+# Print the first few examples
+print(train_slice[:5])
+```
+
 ## Code to download subredditt's
 
 dl_subbreddits.sh:
@@ -311,3 +376,7 @@ combined_df = pd.concat(dfs, ignore_index=True)
 # Save the combined dataframe to a Parquet file
 combined_df.to_parquet('reddit_top_comments.parquet', index=False)
 ```
+
+## Source
+
+https://the-eye.eu/redarcs/ - Covering 2005-2022