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---
pretty_name: Maka Eval Trajectories
license: apache-2.0
tags:
- agents
- evaluation
- terminal-bench
- deep-swe
---
# Maka Eval Trajectories
Private trajectory snapshots for evaluating Maka, Codex, Claude Code, and future
agent harnesses under shared benchmark conditions.
## Available runs
- Terminal-Bench 2.1:
- model: DeepSeek V4 Flash
- reasoning effort: max
- arms: Maka, Codex, Claude Code
- run ID: `deepseek-three-way-v2`
- latest snapshot: `latest.json`
- DeepSWE 1.1 full:
- model: DeepSeek V4 Flash
- reasoning effort: max
- arms: Maka, OpenCode
- run ID: `deepseek-v4-flash-maka-vs-opencode-deepswe-full-v1`
- latest snapshot: `latest-deepswe.json`
Each benchmark has an independent latest pointer so uploading an older completed
run does not replace a newer benchmark snapshot.
Two layers are available:
- `snapshots/`: compact normalized trajectories with benchmark test/solution
outputs removed
- `raw-private/`: per-cell archives containing raw sessions, thinking, tool
calls, tool outputs, configs, verifier files, and telemetry
## Privacy and redaction
- the normalized layer excludes raw session configuration and shell snapshots
- the raw-private layer preserves sessions and benchmark leakage evidence
- both layers redact secret-shaped values and runtime credential fields
- duplicate binary `runtime.sqlite*` stores are excluded because they contained
credential-shaped fixtures already represented in JSONL
- DeepSWE raw archives exclude submitted workspace snapshots, dependency trees,
Git object stores, and compiler caches; trajectories, sessions, patches,
telemetry, verifier artifacts, and final results remain available
This repository is private and intended only for explicitly invited
collaborators. Do not make it public without a separate review.