Update README.md

README.md

@@ -32,12 +32,6 @@ A short-story dataset where **each input is a non-overlapping context of 20 toke
 - **Name:** `sample-no-overfit`
 - **Context Size (`context_size`):** 20
 - **Stride/Step:** After one batch of 20 tokens, we move to the **next 20 tokens** (no overlap).
-- **Example**:  
-  - **Batch 1 (input)**: `"IN the house of"`  
-    - **Batch 1 (output)**: `"the house of there"`  
-  - **Batch 2 (input)**: `"there lives a wolf,"`
-    - **Batch 2 (output)**: `"lives a wolf, some"`  
-  (Hypothetical example)
 
 ## Why No Overlap?
 Typical language modeling approaches may overlap consecutive batches for more training samples, but can lead to learning the same context repeatedly. Here, **each batch is distinct** and does **not share** tokens with the previous batch. This helps **reduce overfitting** and ensures **more variety** in each batch.
@@ -50,6 +44,6 @@ Each row in the dataset contains:
 **Example Row**:
 ```json
 {
-  "input_text": "IN the house of",
-  "output_text": "the house of there"
+  "input_text": "t huis, waar deze eerlooze schurk, Michael Popow",
+  "output_text": "huis, waar deze eerlooze schurk, Michael Popowitch"
 }