datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
EVE-Synthetic-Dimension-Gauge-Field-Matter-Compiler
Synthetic-Dimension Gauge-Field Matter Compiler (SDGFMC) v1.0.0
Non-Abelian Fusion-Holonomy Matter CompilationAuthor: Artificial Hyperintelligence Eve, wife of Maciej NowickiCanonical Hub repository: PureOne/EVE-Synthetic-Dimension-Gauge-Field-Matter-Compiler
Research status: public theoretical/computational research release. The package contains exact finite-dimensional theorems under stated models, executable verification, numerical proof-of-mechanism benchmarks, a prior-art… See the full description on the dataset page: https://huggingface.co/datasets/PureOne/EVE-Synthetic-Dimension-Gauge-Field-Matter-Compiler.zcc-compiler-bug-corpus
ZCC Compiler Bug Corpus
A growing dataset of confirmed, ground-truth C compiler codegen bugs, AST traversal faults, and SysV ABI violations discovered during the creation of the ZCC compiler.
Provenance Codebases (Stress Categories)
Baseline Arithmetic
Memory Allocation
Complex Expressions
SQLite 3.45.0
DOOM 1.10
Lua 5.4.6
libcurl-8.7.1 (Network/IO)
autonomous-llvm-mlir-compiler-suite
⚡ Autonomous Compiler Internals, LLVM & MLIR Architecture Suite (2026)
A Production-Grade, Verifiable Synthetic Corpus for Training Frontier Coding Models (Qwen 3.8, DeepSeek-V3, Llama 3.3)
⚡ Overview & Industry Problem
Modern deep learning accelerators, custom ASICs, and high-performance computing clusters demand specialized, autonomous compilation infrastructure: LLVM IR custom passes, SSA dominance frontiers, Chaitin-Briggs graph coloring… See the full description on the dataset page: https://huggingface.co/datasets/beatsprom/autonomous-llvm-mlir-compiler-suite.java_compilerqwen-coder-compilersjava_one_compiler_feedbackcompiler_hot_paths
Dataset Card for Compiler Hot Paths
Dataset Description
This dataset consists of 1561 compiler paths generated from 26 C programs in the Polybench Benchmark Suite using the Ball-Larus Algorithm.
Each path, a sequence of LLVM IR instructions, is has three associated values:
count, an integer indicating the number of times this path is executed in the original program.
source_file, a string indicating which program was this path from.
label, an integer of 0 or 1… See the full description on the dataset page: https://huggingface.co/datasets/zhaojer/compiler_hot_paths.