Datasets:
|
Download README.md from saulpzh/Meta-Task-Data: direct link, hf CLI and curl.
- Browser
- Download file 2.03 kB
-
https://huggingface.co/datasets/saulpzh/Meta-Task-Data/resolve/main/README.md
- Command line
-
hf download hf://datasets/saulpzh/Meta-Task-Data/README.md
-
curl -L -o README.md https://huggingface.co/datasets/saulpzh/Meta-Task-Data/resolve/main/README.md
2.03 kB
| 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. | |