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README.md

@@ -47,7 +47,13 @@ pretty_name: "Binary-30K: A Large-Scale Multi-Platform Binary Dataset"
 
 ### Dataset Summary
 
-Binary-30K is a comprehensive, multi-platform binary executable dataset designed for machine learning research in binary analysis, malware detection, and program understanding. The dataset contains **30,841 binary executables** totaling **12.90 GB**, collected from diverse sources including Linux distributions, Windows operating systems, and the SOREL-20M malware dataset.
+Binary-30K is a comprehensive, multi-platform binary executable dataset designed for machine learning research in binary analysis, malware detection, and program understanding. The dataset contains **30,745 records** representing **22,278 unique binary executables** totaling **12.90 GB**, collected from diverse sources including Linux distributions, Windows operating systems, and the SOREL-20M malware dataset.
+
+**Note on Duplicates:** The dataset includes 30,745 total records but 22,278 unique SHA256 hashes. The duplicates (8,467 records) are primarily due to:
+- **BusyBox binaries** (~1,827 records): Single multi-call binary with different command names (e.g., `ls`, `cp`, `mv` are hardlinks to the same BusyBox binary)
+- **Hardlinked system utilities**: Multiple names pointing to identical binaries across different Linux distributions
+
+This structure reflects real-world binary collections where utilities share implementations, and is valuable for studying binary deduplication and identifying multi-purpose executables.
 
 Each binary in the dataset has been pre-processed with:
 - **Pre-computed BPE tokenization** using the `mjbommar/glaurung-binary-tokenizer-001` tokenizer
@@ -57,9 +63,9 @@ Each binary in the dataset has been pre-processed with:
 - **Binary analysis** via LIEF library (ELF/PE parsing)
 
 The dataset is stratified across:
-- **Linux binaries** (51%): Alpine 3.18, Debian 11/12, Ubuntu 20.04/22.04, BusyBox
-- **Windows binaries** (48%): Windows 8, 10, 11, Windows Update Catalog
-- **Malware samples** (1%): From SOREL-20M dataset
+- **Linux binaries** (50.8%): Alpine 3.18, Debian 11/12, Ubuntu 20.04/22.04, BusyBox
+- **Windows binaries** (48.0%): Windows 8, 10, 11, Windows Update Catalog
+- **Malware samples** (1.2%): From SOREL-20M dataset
 
 This dataset enables research in malware detection, architecture recognition, function boundary detection, compiler identification, binary similarity analysis, and cross-platform binary understanding.