Metadata-Version: 2.3
Name: medarc-verifiers
Version: 0.1.0
Summary: A collection of MedARC utilities and tools for Prime Intellect's verifiers package
License: MIT License
         
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Requires-Dist: prime>=0.3.35
Requires-Dist: verifiers>=0.1.10,<0.1.12
Requires-Dist: pyyaml>=6.0.1
Requires-Dist: docstring-parser>=0.17.0
Requires-Dist: pylatexenc>=2.10
Requires-Dist: datasets>=4.2.0
Requires-Dist: pyarrow>=23.0.0,<24
Requires-Dist: pydantic>=2.12.3
Requires-Dist: omegaconf>=2.3.0
Requires-Dist: polars>=1.35.1
Requires-Dist: tabulate>=0.9.0
Requires-Dist: rich>=13.7.0
Requires-Python: >=3.11
Description-Content-Type: text/markdown

# medarc-verifiers

Utilities and CLI for running medical LLM benchmarks with [verifiers](https://github.com/primeintellect-ai/verifiers). Provides batch orchestration, result processing, and shared building blocks for authoring environments.

## Install

```bash
pip install medarc-verifiers
```

Environments are installed separately via `prime env install <owner/env>` (from the [Prime Intellect Hub](https://app.primeintellect.ai)) or `vf-install <env>` (from a local directory).

## medarc-eval

`medarc-eval` covers the full evaluation pipeline:

| Command | Description |
|---------|-------------|
| `medarc-eval <ENV>` | Run a single benchmark; env-specific flags inferred from `load_environment()` |
| `medarc-eval bench` | Run multiple model × environment jobs from a YAML config, with resume support |
| `medarc-eval process` | Convert raw outputs to analysis-ready parquet |
| `medarc-eval winrate` | Compute HELM-style win rates across models |

See [medarc-eval.md](medarc-eval.md) for full documentation.
