| --- |
| license: apache-2.0 |
| language: |
| - en |
| pretty_name: StableHLO-Spec-30 |
| size_categories: |
| - n<1K |
| task_categories: |
| - text-generation |
| tags: |
| - mlir |
| - code-generation |
| - compiler |
| - constrained-decoding |
| - stablehlo |
| configs: |
| - config_name: default |
| data_files: |
| - split: test |
| path: data/test.jsonl |
| --- |
| |
| # StableHLO-Spec-30 |
|
|
| Hand-authored NL→StableHLO pairs across 10 op families (n=30). |
|
|
| ## Composition |
|
|
| - **Instances**: 30 |
| - **Format**: one JSON record per line in `data/test.jsonl` |
| - **Schema**: fields = `dialect`, `difficulty`, `id`, `mlir`, `nl`, `notes` |
| - **Verifier**: `stablehlo-opt v1.4.0` (upstream truth) and `iree-compile --compile-to=input` (substitute, 50/50 concordant on a stratified n=50 sample) |
| - **License**: Apache-2.0 (SPDX: Apache-2.0). No third-party IP restrictions. |
|
|
| ## Loading |
|
|
| ```python |
| from datasets import load_dataset |
| ds = load_dataset("plawanrath/StableHLO-Spec-30", split="test") |
| print(ds[0]) |
| ``` |
|
|
| Each record is a self-contained natural-language→MLIR pair; verify-valid |
| pass-rate under the dialect's verifier is the primary evaluation metric. |
|
|
| ## Source format |
|
|
| The JSONL file at `data/test.jsonl` is the canonical HuggingFace interface. |
| MLCommons Croissant 1.0 metadata (`croissant.json`) ships alongside the |
| release. |
|
|
| ## Datasheet |
|
|
| Key points (full Gebru-style datasheet ships with the dataset archive): |
|
|
| - All reference MLIR programs are verifier-clean at the time of release. |
| - Hand-authored (no crowdsourcing, no LLM-authored references). |
| - Test-only — fine-tuning on these benchmarks contaminates future evaluation |
| and is explicitly out of scope. |
|
|
| ## License |
|
|
| Apache-2.0. See `LICENSE`. |
|
|
