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README.md

@@ -13,14 +13,14 @@ tags:
 
 # Chess Position Evaluation Dataset
 
-This dataset contains chess positions in FEN format along with their evaluations and expected outcomes. It is formatted in the Alpaca instruction-following format.
+This dataset contains chess positions in FEN format along with their Stockfish evaluations. It is formatted in the Alpaca instruction-following format.
 
 ## Dataset Structure
 
 Each example contains:
 - instruction: A prompt to evaluate the chess position
 - input: The FEN string representing the chess position
-- output: The evaluation value and expected winner
+- output: The evaluation score in pawn units (positive values favor White, negative values favor Black)
 
 ## Example
 
@@ -28,10 +28,13 @@ Each example contains:
 {
     "instruction": "Evaluate the following chess position in FEN format.",
     "input": "rnbqkbnr/pppppppp/8/8/4P3/8/PPPP1PPP/RNBQKBNR b KQkq - 0 1",
-    "output": "0.52 (Black wins)"
+    "output": "0.52"
 }
 ```
 
 ## Intended Use
 
-This dataset can be used to train models to evaluate chess positions and predict game outcomes.
+This dataset can be used to train models to evaluate chess positions. The evaluation scores are in pawn units, where:
+- Positive values indicate an advantage for White
+- Negative values indicate an advantage for Black
+- Values closer to 0 indicate a more balanced position