orbit-ai/orbit-20k
[!NOTE] 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. Overview Training data for deep search — tasks requiring multi-step retrieval and reasoning over the web — is… See the full description on the dataset page: https://huggingface.co/datasets/orbit-ai/orbit-20k.
| Author / organization | orbit-ai |
|---|---|
| License (as declared) | cc-by-nc-sa-4.0 |
| Downloads | 167 (as reported by Hugging Face) |
| Likes | 7 |
| Created | 17 December 2025 |
| Last updated at source | 2 April 2026 |
Popularity, last 3 days
167 now (+5 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- ORBIT: Scalable and Verifiable Data Generation for Search Agents on a Tight BudgetPaper · cites
- mradermacher/orbit-4b-v0.1-GGUFModel · used to train
- mradermacher/orbit-4b-v0.1-i1-GGUFModel · used to train
Recent changes
- 17 Oct 2026 Description: [!NOTE] 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 ORBITis a reasoning-intensive synthetic dataset with complex queries u → [!NOTE] 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
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