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README.md

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-license: mit
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+license: mit
+---
+
+# Malware vs Benign PE Assembly Dataset (2020, Sliding Window)
+
+This dataset consists of assembly code fragments extracted from malicious and benign Portable Executable (PE) files. It was created to support deep learning-based malware classification. Assembly code was segmented using a sliding window technique to preserve contextual information.
+
+## Dataset Description
+
+The dataset includes assembly code segments derived from two types of PE files:
+
+- **Malware Samples**  
+  Malicious PE files were downloaded from [MalwareBazaar](https://bazaar.abuse.ch/), specifically focusing on samples uploaded in **2020**. Each file was disassembled into assembly code using the `objdump` command on Ubuntu.
+
+- **Benign Samples**  
+  Benign PE files were collected from regular executable files stored on a PC using PowerShell. These files were also disassembled using `objdump` to extract assembly code in the same manner.
+
+## Sliding Window Preprocessing
+
+To prepare the data for machine learning:
+
+- Assembly code was segmented using a sliding window approach:
+  - **Window Size:** 350 lines
+  - **Stride:** 175 lines (50% overlap)
+- This setup ensures that the segments preserve contextual relationships between instructions.
+- Importantly, **all segments generated from a single file are kept together** to maintain file-level grouping and avoid mixing across files.
+- No tokenization was applied; the raw assembly code was used as-is during segmentation.
+
+## Data Format
+
+Each entry in the dataset includes:
+
+- `assembly`: A segment of assembly code extracted via sliding window
+- `label`: A binary classification label indicating `malware` or `benign`
+
+## Intended Use
+
+This dataset is suitable for the following tasks:
+
+- Malware classification using NLP-based models (e.g., Transformer-based models)
+- Research on malware detection using sliding window context segmentation
+
+## Tools Used
+
+- `objdump` (for extracting assembly code)
+- PowerShell (for collecting benign files)
+- Python scripts (for sliding window segmentation and maintaining per-file chunk structure)