Datasets:
license: cc-by-4.0
task_categories:
- reinforcement-learning
language:
- en
tags:
- recursive-task-synthesis
- agent-trajectories
- command-line
configs:
- config_name: default
data_files:
- split: train
path: metadata/trajectories.parquet
Recursive Task Synthesis Trajectories
This dataset contains 327,189 completed agent trajectories collected on recursively synthesized command-line tasks. Public identifiers are opaque and stable.
The trajectory JSON retains messages, actions, observations, and token counts. Token-level log-probability arrays and duplicated debug/session captures are excluded from the public packages.
metadata/trajectories.parquet: searchable trajectory metadata.metadata/shard_manifest.jsonl: TAR sizes and SHA256 checksums.data/trajectories-*.tar: sanitized trajectory packages.
from datasets import load_dataset
trajectories = load_dataset(
"Zhongzhi1228/Recursive-Task-Synthesis-Trajectories",
split="train",
)
License, attribution, and modifications
This dataset is released under the
Creative Commons Attribution 4.0 International License.
See LICENSE for the complete legal text.
These trajectories were generated by agents interacting with tasks from the Recursive Task Synthesis dataset. They capture complete agent interactions across validated command-line environments, including messages, actions, observations, execution outcomes, rewards, and token statistics. The records were collected, filtered, sanitized, assigned stable public identifiers, and repackaged for analysis and training.
This license covers the original contributions and adaptations that the publisher has authority to license. It does not grant rights over third-party materials beyond what is permitted by their original terms.
Detailed methodology, data construction, and related-work attribution are documented in the accompanying paper.