---
license: apache-2.0
task_categories:
- question-answering
- text-generation
language:
- en
pretty_name: APEX Agents evaluation trajectories
---

# APEX Agents Evaluation Trajectories

This dataset contains the lightweight trajectory artifacts for one full Archipelago / APEX Agents evaluation run.

## Run

- Run id: `20260717_174205_250s_c29`
- Benchmark: Mercor Archipelago / APEX Agents
- Agent config: `react_toolbelt_agent`
- Max steps: `250`
- Concurrency: `29`
- Model: local `Qwen3.6-27B-SFT-v10-tau-style-v4-ckpt340` served by SGLang
- Tasks: `480`

## Score Summary

- Strict Pass@1: `65` / `480` = `0.1354`
- Partial average: `0.2822`
- No-grade counted as zero: `25`
- Infra failures: `0`

## Domain Summary

| Domain | Tasks | Strict Pass | Strict Pass@1 | Partial Avg |
|---|---:|---:|---:|---:|
| Investment Banking | 160 | 18 | 0.1125 | 0.1646 |
| Law | 160 | 20 | 0.1250 | 0.3582 |
| Management Consulting | 160 | 27 | 0.1688 | 0.3237 |

## Files

- `data/trajectories.jsonl`: one JSON object per task, including task metadata, trajectory, grades, verifiers, initial messages, and run score fields.
- `raw_tasks/<task_id>/`: per-task JSON artifacts copied from the evaluator output.
- `logs/`: run manifest, task ids, aggregate results JSONL, and runner log.
- `summary.json`: machine-readable summary.

Large environment snapshots and filesystem archives were intentionally excluded from this upload because the original evaluator output directory is hundreds of GB. This dataset is meant for trajectory inspection and score analysis, not complete environment replay.

Common API key/token patterns were redacted during staging.