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