Datasets:
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license: apache-2.0
language:
- en
task_categories:
- text-generation
tags:
- terminal-agents
- code-agent
- task-synthesis
- agent-trajectories
- sft
---
# Meta-Task-Data
Data produced by [Meta-Task](https://github.com/goodmanpzh/meta-task), the official
implementation of **"Meta-Task: Turning Terminal Task Synthesis into a Terminal Task for
Scalable Agent Training"** ([arXiv:2607.27929](https://arxiv.org/abs/2607.27929)).
Meta-Task redefines terminal task synthesis as a Terminal-Bench-format terminal task: an agent
runs inside a Docker container to generate, execute, and verify new terminal tasks.
## Contents
| Path | Contents |
|------|----------|
| `tasks/meta_tasks_v1.tar.gz` | 3,220 synthesized terminal tasks. Each is a complete Terminal-Bench package (`instruction.md`, `task.toml`, `environment/`, `solution/`, `tests/`). Extracts to `v1/<task-name>/`. |
| `trajectories/sft_trajectories_3221.jsonl` | 3,221 SFT trajectories, one JSON object per line. |
## Trajectory format
Each line of `sft_trajectories_3221.jsonl`:
| Field | Description |
|-------|-------------|
| `messages` | Conversation turns (`role`, `content`) of the agent solving the task. |
| `id` | Name of the source task (matches a directory under `v1/`). |
| `data_type` | `sft` |
| `special_ability` | `code_agent` |
| `source` | `terminalbench` |
| `synthetic_model` | Model that generated the trajectory (Qwen3.5-397B-A17B-FP8). |
| `tag` | e.g. `{"code_agent": "terminus-2"}` — the agent scaffold used. |
## Loading
```python
import json, tarfile
with tarfile.open("tasks/meta_tasks_v1.tar.gz") as tf:
tf.extractall("tasks/") # -> tasks/v1/<task-name>/
with open("trajectories/sft_trajectories_3221.jsonl") as f:
trajectories = [json.loads(line) for line in f]
```
## Links
- Code: https://github.com/goodmanpzh/meta-task
- Models: [Meta-Task-14B](https://huggingface.co/saulpzh/Meta-Task-14B) ·
[Meta-Task-32B](https://huggingface.co/saulpzh/Meta-Task-32B)
## License
Apache-2.0.
|