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README.md

@@ -1,48 +1,17 @@
 ---
 license: apache-2.0
 task_categories:
-- text-generation
+  - text-generation
 language:
-- en
+  - en
 tags:
-- assembly
-- c
-- leetcode
-- compiler
-- code
+  - assembly
+  - c
+  - leetcode
+  - compiler
+  - code
 size_categories:
-- 10K<n<100K
-dataset_info:
-  features:
-  - name: id
-    dtype: int64
-  - name: problem_id
-    dtype: int64
-  - name: problem_title
-    dtype: string
-  - name: difficulty
-    dtype: string
-  - name: c_source
-    dtype: string
-  - name: architecture
-    dtype: string
-  - name: optimization
-    dtype: string
-  - name: compiler
-    dtype: string
-  - name: assembly
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 93820718
-    num_examples: 14112
-  download_size: 14016763
-  dataset_size: 93820718
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+  - 10K<n<100K
 ---
 
 # LeetCode Assembly Dataset
@@ -74,12 +43,6 @@ 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 |
@@ -89,7 +52,6 @@ Each problem has **32 assembly variants** (4 architectures x 2 compilers x 4 opt
 | `problem_title` | string | Problem name (e.g. "Two Sum") |
 | `difficulty` | string | Easy, Medium, or Hard |
 | `c_source` | string | Complete C source code |
-| `source_repo` | string | GitHub repo the solution came from |
 | `architecture` | string | Target ISA: `x86-64`, `aarch64`, `mips64`, `riscv64` |
 | `optimization` | string | Optimization flag: `-O0`, `-O1`, `-O2`, `-O3` |
 | `compiler` | string | Compiler version used (e.g. `x86-64 gcc 15.2`, `x86-64 clang 21.1.0`) |
@@ -122,3 +84,38 @@ C solutions were collected from three open-source GitHub repositories of pure-C
 - [lennylxx/leetcode](https://github.com/lennylxx/leetcode) (159 solutions)
 
 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).