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README.md

@@ -98,7 +98,6 @@ m/z Exp.,Intensity
 
 - **7T FT-ICR MS Data (ver2)**: High-resolution mass spectrometry data from a 7 Tesla instrument
   - 8 Excel files with assigned formulas
-  - Chemical family classification tables
   
 - **21T FT-ICR MS Data (ver3)**: Ultra-high resolution data from a 21 Tesla instrument
   - 6 Excel files with assigned formulas
@@ -118,18 +117,7 @@ m/z Exp.,Intensity
   - Different pulse sequences (aFTk, aFTsk, dmFTk)
   - CSV format with m/z and intensity data
 
-## Data Format
 
-### Excel Files (.xlsx)
-Training and testing files contain:
-- m/z values (mass-to-charge ratios)
-- Assigned molecular formulas (C, H, O, N, S counts)
-- Additional metadata depending on the sample
-
-### CSV Files
-- **Peaklists**: m/z, intensity, and spectral information
-- **Synthetic data**: Formula combinations with element counts and mass values
-- **Families tables**: Chemical family classifications
 
 ---
 
@@ -188,19 +176,6 @@ print(f"Dataset downloaded to: {data_path}")
 
 ---
 
-## Statistics
-
-- **Total files**: ~82 files (17 Excel, 65 CSV)
-- **Total size**: ~73 MB
-- **Training samples**: 
-  - 8 files (7T data)
-  - 6 files (21T data)
-  - 51 synthetic files
-- **Testing samples**: 3 independent DOM samples
-- **Peaklists**: 9 detailed acquisition files
-
----
-
 ## Citation
 
 This dataset supports research on automated formula assignment in DOM analysis using machine learning. A manuscript describing the methodology is currently under review.