metadata
license: mit
tags:
- harbor
- full-run
- forge
- gpt-5.4
- terminal-bench
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: instance_id
dtype: string
- name: reward
dtype: float64
- name: resolved
dtype: bool
- name: agent
dtype: string
- name: model
dtype: string
- name: started_at
dtype: string
- name: finished_at
dtype: string
- name: duration_seconds
dtype: float64
- name: error
dtype: 'null'
- name: trajectory
dtype: string
- name: trajectory_raw
dtype: string
- name: agent_output
dtype: string
- name: agent_command
dtype: string
- name: agent_stdout
dtype: string
- name: agent_return_code
dtype: int64
- name: setup_stdout
dtype: string
- name: setup_stderr
dtype: 'null'
- name: setup_return_code
dtype: int64
- name: verifier_stdout
dtype: string
- name: verifier_report
dtype: 'null'
- name: trial_config
dtype: string
- name: trial_result
dtype: string
- name: trial_log
dtype: string
- name: job_config
dtype: string
- name: job_log
dtype: string
- name: step_annotations
dtype: string
splits:
- name: train
num_bytes: 1051653
num_examples: 1
download_size: 524976
dataset_size: 1051653
forge-gpt54-doom-mips-full
Harbor evaluation on terminal-bench@2.0: 0/1 resolved (0.0%), 0 errors
Dataset Info
- Rows: 1
- Columns: 25
Columns
| Column | Type | Description |
|---|---|---|
| instance_id | Value('string') | Task identifier (e.g. astropy__astropy-12907) |
| reward | Value('float64') | Verifier reward (e.g. 0.0 or 1.0) |
| resolved | Value('bool') | Whether the task was resolved (reward > 0) |
| agent | Value('string') | Agent name used for this trial |
| model | Value('string') | Model identifier used by the agent |
| started_at | Value('string') | Trial start timestamp (ISO 8601) |
| finished_at | Value('string') | Trial end timestamp (ISO 8601) |
| duration_seconds | Value('float64') | Wall clock duration of the trial |
| error | Value('null') | Exception message if the trial failed, null otherwise |
| trajectory | Value('string') | ATIF (Agent Trajectory Interchange Format) JSON trace of the agent's actions |
| trajectory_raw | Value('string') | Native agent trajectory JSON (agent-specific format) |
| agent_output | Value('string') | Raw text output from the agent |
| agent_command | Value('string') | Shell command executed by the agent |
| agent_stdout | Value('string') | Stdout from the agent's command execution |
| agent_return_code | Value('int64') | Return code from the agent's command execution |
| setup_stdout | Value('string') | Stdout from the agent environment setup |
| setup_stderr | Value('null') | Stderr from the agent environment setup |
| setup_return_code | Value('int64') | Return code from the agent environment setup |
| verifier_stdout | Value('string') | Stdout from the verifier test execution |
| verifier_report | Value('null') | Verifier report JSON with FAIL_TO_PASS and PASS_TO_PASS results |
| trial_config | Value('string') | Trial-level configuration JSON |
| trial_result | Value('string') | Trial-level result JSON (full Harbor trial output) |
| trial_log | Value('string') | Trial-level log text |
| job_config | Value('string') | Job-level configuration JSON |
| job_log | Value('string') | Job-level log text |
Generation Parameters
{
"script_name": "harbor_toolkit",
"model": "forge (gpt-5.4)",
"description": "Harbor evaluation on terminal-bench@2.0: 0/1 resolved (0.0%), 0 errors",
"hyperparameters": {
"job_name": "2026-03-17__23-38-50",
"jobs_dir": "jobs",
"n_attempts": 1,
"timeout_multiplier": 3.0,
"debug": false,
"orchestrator": {
"type": "local",
"n_concurrent_trials": 4,
"quiet": false,
"retry": {
"max_retries": 0,
"include_exceptions": null,
"exclude_exceptions": [
"AgentTimeoutError",
"RewardFileNotFoundError",
"RewardFileEmptyError",
"VerifierOutputParseError",
"VerifierTimeoutError"
],
"wait_multiplier": 1.0,
"min_wait_sec": 1.0,
"max_wait_sec": 60.0
},
"kwargs": {}
},
"environment": {
"type": "docker",
"import_path": null,
"force_build": false,
"delete": true,
"override_cpus": null,
"override_memory_mb": null,
"override_storage_mb": null,
"override_gpus": null,
"suppress_override_warnings": false,
"kwargs": {}
},
"verifier": {
"override_timeout_sec": null,
"max_timeout_sec": null,
"disable": false
},
"metrics": [],
"agents": [
{
"name": null,
"import_path": "forge_harbor.agent:ForgeInstalledAgent",
"model_name": "openai/gpt-5.4",
"override_timeout_sec": null,
"override_setup_timeout_sec": null,
"max_timeout_sec": null,
"kwargs": {}
}
],
"datasets": [
{
"task_names": [
"make-doom-for-mips"
],
"exclude_task_names": null,
"n_tasks": null,
"registry": {
"name": null,
"url": "https://raw.githubusercontent.com/laude-institute/harbor/main/registry.json"
},
"name": "terminal-bench",
"version": "2.0",
"overwrite": false,
"download_dir": null
}
],
"tasks": []
},
"input_datasets": [
"terminal-bench@2.0"
]
}
Usage
from datasets import load_dataset
dataset = load_dataset("reasoning-degeneration-dev/forge-gpt54-doom-mips-full", split="train")
print(f"Loaded {len(dataset)} rows")
This dataset is tracked in reasoning-degeneration-dev/PROJECT-MANIFEST