> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/nemo/gym/v0.5.1/tutorials/evaluation-tutorials/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/nemo/gym/_mcp/server.

# Evaluation Tutorials

> Run benchmark-specific evaluation workflows with NeMo Gym.

Here are the hands-on walkthroughs for running benchmarks, collecting rollouts, and reading the outputs. They assume familiarity with the basic concepts in [Evaluation](/about/concepts/evaluation) and the workflow in [Evaluation](/evaluation).

#### [Evaluate EvalPlus](/tutorials/evaluation-tutorials/evalplus)

Run the EvalPlus coding benchmark and inspect rollout and aggregate metric outputs.

#### [Reverify Rollouts](/tutorials/evaluation-tutorials/reverify-rollouts)

Recompute rewards from existing rollouts after changing a verifier parameter, without re-running model inference.

#### [Workplace Assistant with Claude Code](https://github.com/NVIDIA-NeMo/Gym/blob/main/resources_servers/workplace_assistant/notebooks/workplace-claude-demo.ipynb)

Run an agentic tool-use benchmark end to end with the Claude Code agent harness — config, rollouts, and BLADE analysis.

notebook

#### [Environment List](/evaluation/environment-list)

Browse the built-in benchmark and training environments.

#### [Aggregate Metrics](/evaluation/aggregate-metrics)

Understand the aggregate metrics written after rollout collection.

> Run benchmark-specific evaluation workflows with NeMo Gym.

## Docs

- [Evaluate EvalPlus](https://docs.nvidia.com/nemo/gym/v0.5.1/tutorials/evaluation-tutorials/evalplus.md): Run the EvalPlus coding benchmark and inspect rollout and aggregate metric outputs.
- [BLADE Analysis Skill](https://docs.nvidia.com/nemo/gym/v0.5.1/tutorials/evaluation-tutorials/blade-analysis-skill.md): Build and validate a BLADE-style benchmark analysis package from NeMo Gym rollout artifacts.
- [Reverify Rollouts](https://docs.nvidia.com/nemo/gym/v0.5.1/tutorials/evaluation-tutorials/reverify-rollouts.md): Recompute rewards from existing rollouts without re-running model inference.