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v1.1: compiler-backed dialects, 375 records, 1225 diagnostic pairs

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v1.1/README.md ADDED
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+ ---
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+ license: other
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+ task_categories:
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+ - text-generation
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+ language:
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+ - en
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+ tags:
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+ - graphics
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+ - glsl
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+ - wgsl
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+ - hlsl
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+ - metal
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+ - spir-v
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+ - webgpu
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+ - shaders
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+ - compiler-validated
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+ size_categories:
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+ - 10K<n<100K
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+ ---
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+
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+ # ShaderCross Graphics Dataset v1.1
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+
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+ Multi-dialect shader corpus where **every dialect is produced by a real
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+ compiler** and validated by a real validator.
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+
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+ ## What changed from the previous release
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+
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+ The earlier release advertised a five-way polyglot matrix but generated it with
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+ regular-expression substitution. Measured on the published files:
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+
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+ | Claim | Measured reality |
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+ |---|---|
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+ | Five dialects via compilers | `wgsl_transpiler.py` was ~60 regexes; `subprocess` was imported but never called |
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+ | Valid targets | `dxc -T ps_6_0` rejected the HLSL: `layout(location = 0) in float3 v_WorldPos;` |
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+ | Distinct implementations | `quick_ratio(glsl, wgsl) = 0.9996`; 82% of records were four near-identical copies |
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+ | Zero-junk filtering | `validation` was all zeros; 42% of records were not shaders (e.g. a tree-sitter C scanner) |
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+ | Dense corpus | 41.6% of bytes were exact duplicates stored under two keys |
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+
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+ v1.1 replaces the transpiler with `glslang -> spirv-cross -> naga` and validates
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+ each target with `spirv-val`, `glslangValidator`, `dxc` and `wgpu`. On the same
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+ GGX shader, GLSL-to-HLSL similarity fell from 0.9996 to 0.715 and `dxc` now
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+ accepts the output.
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+
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+ ## Generation and validation matrix
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+
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+ | Dialect | Generator | This run | Validator |
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+ |---|---|---|---|
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+ | SPIR-V | glslangValidator -V | 557/562 (99%) | spirv-val |
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+ | GLSL 330 | spirv-cross | 445/536 (83%) | glslangValidator |
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+ | ESSL 300 | spirv-cross | 441/476 (93%) | glslangValidator |
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+ | HLSL SM6.0 | spirv-cross | 438/514 (85%) | dxc (authoritative) |
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+ | MSL 2.0 | spirv-cross | emitted, unverified | none exists on Linux |
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+ | WGSL | sampler-split + naga | 334/458 (73%) | wgpu.create_shader_module |
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+
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+ `msl_status` is reported as `EMITTED_UNVERIFIED`, never `PASSED`: no Metal
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+ compiler exists outside macOS, and overstating that is what made the previous
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+ release untrustworthy.
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+
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+ ### The WGSL fix
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+
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+ GLSL's `sampler2D` is a combined image sampler; WGSL requires separate
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+ `texture_2d<f32>` and `sampler` bindings. naga cannot bridge that gap, so 64% of
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+ shaders failed conversion with `invalid id %N`. Twelve SPIR-V hygiene strategies
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+ scored 0/40. Normalising the **source** instead lifted WGSL from 36% to 86%.
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+
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+ ## Contents
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+
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+ | File | Records |
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+ |---|---|
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+ | `dataset_full.jsonl` | 375 |
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+ | `dataset_permissive.jsonl` | 346 |
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+ | `dataset_noncommercial.jsonl` | 29 |
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+ | `diagnostic_bugfix_pairs.jsonl` | 1225 |
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+ | `metrics.json` | pipeline counters |
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+
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+ Parquet mirrors use nested Arrow structs rather than JSON-in-a-string.
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+
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+ ### Diagnostic pairs
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+
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+ Compilation failures are not discarded. Each becomes a record with the compiler
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+ invocation, its exact log, and an explanation. Cases marked `is_fixable: false`
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+ are constructs that cannot exist in the target API at all - subpass input,
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+ `gl_PointCoord`, mesh shaders, descriptor indexing - which teaches genuine
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+ portability boundaries.
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+
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+ ## Pipeline statistics for this build
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+
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+ ```
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+ repositories : 64/102 cloned
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+ files scanned: 8972
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+ candidates : 1751
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+ accepted : 375
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+ diagnostics : 1225
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+ rejected : L0=2456 licence=4765 inflation=20
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+ duplicates : exact=52 near=82
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+ tokens : 2,536,681
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+ elapsed : 460s
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+ ```
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+
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+ ## Toolchain
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+
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+ ```json
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+ {
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+ "glslang": "Glslang Version: 10:11.8.0",
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+ "spirv_cross": "(Debian package)",
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+ "spirv_val": "SPIRV-Tools v2022.2-dev unknown hash, 2022-02-16T16:37:15",
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+ "spirv_opt": "SPIRV-Tools v2022.2-dev unknown hash, 2022-02-16T16:37:15",
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+ "spirv_dis": "SPIRV-Tools v2022.2-dev unknown hash, 2022-02-16T16:37:15",
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+ "naga": "30.0.0",
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+ "dxc": "libdxcompiler.so: 1.8(dev;3944-3e105849)"
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+ }
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+ ```
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+
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+ ## Licensing
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+
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+ Records carry `license` and `license_category`. Use `dataset_permissive.jsonl`
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+ for commercial pre-training; `dataset_noncommercial.jsonl` holds CC-BY-NC and
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+ GPL-derived material for research only.
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+
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+ ## Schema
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+
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+ See `docs/ARCHITECTURE_v1.1.md` in the source repository. Key point: generated
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+ code lives in exactly one place, `implementations.*`, and validation is
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+ tri-state (`PASSED` / `FAILED` / `EMITTED_UNVERIFIED`) so unprovable claims are
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+ representable rather than rounded up to success.
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