Update README.md

README.md

@@ -83,6 +83,8 @@ This dataset gathers very few samples from [MS MARCO](https://microsoft.github.i
 
 #### `triplet` subset
 
+The `triplet` file is all we need to fine-tune a model based on contrastive loss.
+
 * Columns: "query", "positive", "negative"
 * Column types: `str`, `str`, `str`
 * Examples:
@@ -93,5 +95,41 @@ This dataset gathers very few samples from [MS MARCO](https://microsoft.github.i
       "negative": 'The New York State Education Department requires 60 Liberal Arts credits in a Bachelor of Science program and 90 Liberal Arts credits in a Bachelor of Arts program. In the list of course descriptions, courses which are liberal arts for all students are identified by (Liberal Arts) after the course number.'
     }
     ```
+* Datasets
+   ```python
+   from datasets import load_dataset
+
+   dataset = load_dataset("lightonai/lighton-ms-marco-mini", "triplet", split="train") 
+   ```
+
+#### `knowledge distillation` subset
+
+To fine-tune a model using knowledge distillation loss we will need three distinct file:
+
+* Datasets
+    ```python
+    from datasets import load_dataset
+    
+    train = load_dataset(
+        "lightonai/lighton-ms-marco-mini",
+        "train",
+        split="train",
+    )
+    
+    queries = load_dataset(
+        "lightonai/lighton-ms-marco-mini",
+        "queries",
+        split="train",
+    )
+    
+    documents = load_dataset(
+        "lightonai/lighton-ms-marco-mini",
+        "documents",
+        split="train",
+    )
+    ```
 
-#### `knowledge distillation` subset
+Where:
+- `train` contains three distinct columns: `['query_id', 'document_ids', 'scores']`
+- `queries` contains two distinct columns: `['query_id', 'text']`
+- `documents` contains two distinct columns: `['document_ids', 'text']`