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@@ -11,17 +11,23 @@ tags: [databases, query-equivalence, feature-engineering, rewrite-mining, SMT]
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  # VeBench
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- Labeled corpora for **VeRA: Mining and Verifying Feature-Pipeline Rewrites with
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- an MLIR-Style IR and SMT** (ICDE 2026). Each item is labeled with lowering
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- status, admission tier (Tier P proof / Tier E test), guard, and verdict.
 
 
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- | File | Component | Notes |
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- | --- | --- | --- |
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- | `hf_jupyter_sample.jsonl` | real-notebook scan | permissively (SPDX) licensed public notebooks |
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- | `job_sample.jsonl` | JOB coverage suite | Join Order Benchmark over IMDb |
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- | `feast_sample.jsonl` | Feast feature definitions | on-demand feature views |
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- | `llm_baseline.jsonl` | LLM admission baseline | rewrite pairs |
 
 
 
 
 
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- Generated SQL/dataframe corpora and the ground-truth rule sets regenerate from
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- the committed seeds/configs in the artifact. See the artifact `README.md` and
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- `REPRODUCE.md` for provenance, licenses, and regeneration.
 
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  # VeBench
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+ The labeled benchmark for **VeRA: Mining and Verifying Feature-Pipeline Rewrites
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+ with an MLIR-Style IR and SMT** (ICDE 2026): nine components for verified
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+ feature-pipeline rewrite mining. Generated components regenerate from fixed seeds
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+ via the artifact (`scripts/export_bench.py`); real-code components ship as
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+ license-stamped samples.
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+ | File | Component | Size | Origin |
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+ | --- | --- | --- | --- |
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+ | `sql_mining_corpus.jsonl` | SQL mining corpus | 300 | generated |
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+ | `dataframe_mining_corpus.jsonl` | dataframe mining corpus | 300 | generated |
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+ | `soundness_rules.jsonl` | soundness rule set | 31 | hand-built |
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+ | `mutation_rules.jsonl` | mutation rule set | 400 | mechanical |
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+ | `hf_jupyter_sample.jsonl` | real-notebook scan | 1500 | public GitHub |
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+ | `feast_sample.jsonl` | Feast feature definitions | 20 | Feast templates |
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+ | `job_sample.jsonl` | JOB coverage suite | 113 | IMDb (JOB) |
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+ | `tpch_coverage.jsonl` | TPC-H coverage suite | 22 | TPC-H |
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+ | `tpcds_coverage.jsonl` | TPC-DS coverage suite | 99 | TPC-DS |
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+ See the artifact `README.md` and `REPRODUCE.md` for provenance, licenses, labels
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+ (lowering status, admission tier, guard, verdict), and regeneration.