Update README.md

README.md

@@ -20,7 +20,7 @@ configs:
 # FemtoXO Dataset – Synthetic Tic‑Tac‑Toe Games
 
 **FemtoXO Dataset** is a large collection of board states and moves from randomly played Tic‑Tac‑Toe games.  
-It was created to train the [FemtoXO model](https://huggingface.co/your-username/FemtoXO), a tiny Transformer that plays as **X**.
+It was created to train the [FemtoXO model](https://huggingface.co/abdelkader-dev/FemtoXO), a tiny Transformer that plays as **X**.
 
 ## Dataset Summary
 
@@ -28,7 +28,7 @@ Each row represents one board position **where it is X’s turn to play**, along
 The dataset is entirely synthetic and was generated programmatically by simulating 10,000 full random games and recording every X‑turn state.
 
 - **Total samples:** ≈ 90,000 (varies slightly due to different game lengths)
-- **Format:** JSON Lines (`.jsonl`)
+- **Format:** JSON Lines (`.json`)
 - **Language:** not applicable (board symbols)
 
 ## Data Structure
@@ -47,7 +47,7 @@ Each line is a JSON object with two fields:
 
 ## Data Splits
 
-The data is provided as a single file (`data.jsonl`) containing all samples.  
+The data is provided as a single file (`data.json`) containing all samples.  
 During training we typically split it into:
 - **Train:** 90%
 - **Validation:** 10%
@@ -59,7 +59,7 @@ During training we typically split it into:
 3. Before every X move, save the current board state and the chosen move.
 4. Game ends on a win or a draw (board full).
 
-The complete generator script is available in the [FemtoXO repository](https://huggingface.co/your-username/FemtoXO) under `src/train.py`.
+The complete generator script is available in the [FemtoXO repository](https://huggingface.co/abdelkader-dev/FemtoXO) under `src/train.py`.
 
 ## Usage
 
@@ -68,7 +68,7 @@ You can load the dataset directly with 🤗 Datasets:
 ```python
 from datasets import load_dataset
 
-dataset = load_dataset("your-username/femto-xo")
+dataset = load_dataset("abdelkader-dev/XO_matches")
 print(dataset['train'][0])
 ```