Update README.md

README.md

@@ -43,6 +43,12 @@ Each problem has **32 assembly variants** (4 architectures x 2 compilers x 4 opt
 - **The largest output is LFU Cache** (1,121 lines at -O0 on x86-64), a complex doubly-linked list plus hash table implementation.
 - **The smallest output is Nim Game at -O3** (4 lines on x86-64) -- the entire solution optimizes to a single bitwise AND.
 
+## Use Cases
+
+- Training or evaluating models on C-to-assembly translation
+- Studying how optimization levels affect generated code
+- Compiler behavior research
+
 ## Schema
 
 | Column | Type | Description |
@@ -85,37 +91,3 @@ C solutions were collected from three open-source GitHub repositories of pure-C
 
 After deduplication, 441 unique problems remained. Solutions are self-contained C files using only the standard library (no C++ STL), producing clean and readable assembly output.
 
-## Compilation Details
-
-Assembly was generated using the [Godbolt Compiler Explorer](https://godbolt.org) public API with the following compilers:
-
-| Architecture | GCC Compiler ID | Clang Compiler ID | Syntax |
-|-------------|----------------|-------------------|--------|
-| x86-64 | `cg152` (GCC 15.2) | `cclang2110` (Clang 21.1.0) | Intel |
-| AArch64 | `carm64g1520` (GCC 15.2) | `armv8-cclang2110` (Clang 21.1.0) | Native |
-| MIPS64 | `cmips64g1520` (GCC 15.2) | `mips64-cclang2110` (Clang 21.1.0) | Native |
-| RISC-V 64 | `rv64-cgcc1520` (GCC 15.2) | `rv64-cclang2110` (Clang 21.1.0) | Native |
-
-Compiler flags: `-std=gnu89 -w -include stdio.h -include stdlib.h -include string.h -include stdbool.h -include limits.h -include math.h -include stdint.h -include ctype.h`
-
-Assembly output filters: directives removed, comments removed, labels preserved, symbols demangled.
-
-## Potential Use Cases
-
-- Training or evaluating models on C-to-assembly translation
-- Studying how optimization levels affect generated code
-- Comparing GCC vs Clang assembly output on identical source code
-- Cross-architecture assembly comparison and analysis
-- Assembly language education and reference
-- Compiler behavior research
-
-## Build Pipeline
-
-The dataset was built with an automated Python pipeline:
-
-1. **Extract**: Clone repos, extract `.c` files, normalize unicode, deduplicate by problem ID
-2. **Metadata**: Enrich with LeetCode problem titles and difficulty from HuggingFace
-3. **Compile**: Send each solution to Godbolt API across all architecture/compiler/optimization combinations (with SQLite checkpointing for resumability)
-4. **Publish**: Build HuggingFace Dataset and push to Hub
-
-Source code for the pipeline is available at [github.com/ronantakizawa/leetcodeassembly](https://github.com/ronantakizawa/leetcodeassembly).