Search-VL-RL-8K is an open recipe for training frontier multimodal search agents, authored by OpenSearch-VL. The dataset was last updated on May 7, 2026. It likely contains data for training agents using methods like Cold-Start Agentic SFT and Multi-Turn Fatal-Aware GRPO.
Use Cases
- Training multimodal search agents based on the described Cold-Start Agentic SFT method
- Fine-tuning agents with reinforcement learning based on the Multi-Turn Fatal-Aware GRPO technique
- Benchmarking agent performance in visual tool use scenarios as suggested by the description
Strengths
- The dataset is associated with a detailed open recipe for training frontier agents
- The description references specific advanced training methods like Cold-Start Agentic SFT and Multi-Turn Fatal-Aware GRPO
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download
- Column-level documentation is absent; field semantics must be inferred after download
- Row count is unknown, which may limit suitability assessment
Provenance
- Source
- OpenSearch-VL
- Collection Method
- Likely gathered for training multimodal search agents, but the exact collection method is not specified.
- Freshness
- Last updated 2026-05-07 05:18:50; freshness should be verified