orbit-ai/orbit-seeds

For more information on the ORBIT dataset, go check out the preprint available at arxiv.org/abs/2604.01195.

ORBIT: A Synthetic Training Dataset for Search Agents

ORBIT is a reasoning-intensive synthetic dataset with complex queries used for training search agents, generated without relying on any paid API services or manual annotation.

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Orbit Seeds

Seed entities collected from English Wikipedia, organised by domain. Each record is a Wikipedia page that was used as a seed for reasoning-intensive question generation in the Orbit project.

Schema

Column	Type	Description
_id	string	Unique MD5 hash identifier
seed	string	Wikipedia page title (seed entity)
seed_url	string	Full Wikipedia URL
category	string	Wikipedia category the page belongs to

Domains

Domain	Seeds
art	3,717
code	3,425
finance	3,599
geography	2,737
history	3,549
law	3,857
mathematics	3,997
medicine	4,253
music	2,567
politics	3,703
puzzles	1,844
science_and_technology	4,549
sports	1,965
tv_shows_and_movies	2,250
video_games	4,243

Usage

from datasets import load_dataset

# Load a specific domain
ds = load_dataset("orbit-ai/orbit-seeds", "mathematics", split="train")
print(ds[0])

# Load all domains
domains = [
    "art", "code", "finance", "geography", "history", "law",
    "mathematics", "medicine", "music", "politics", "puzzles",
    "science_and_technology", "sports", "tv_shows_and_movies", "video_games",
]
for domain in domains:
    ds = load_dataset("orbit-ai/orbit-seeds", domain, split="train")
    print(f"{domain}: {len(ds)} seeds")

Citation

If you use ORBIT in your work, please cite our preprint on arXiv:

@misc{thakur2026orbit,
      title={ORBIT: Scalable and Verifiable Data Generation for Search Agents on a Tight Budget}, 
      author={Nandan Thakur and Zijian Chen and Xueguang Ma and Jimmy Lin},
      year={2026},
      eprint={2604.01195},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2604.01195}, 
}

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Links

Resource	URL
Paper	https://arxiv.org/abs/2604.01195
Dataset	https://huggingface.co/datasets/orbit-ai/orbit-20k
Model	https://huggingface.co/orbit-ai/orbit-4b-v0.1
Hugging Face	https://huggingface.co/orbit-ai
GitHub	https://github.com/castorini/orbit