OpenSeeker
OpenSeeker-v1-Data
OpenSeeker: Democratizing Frontier Search Agents by Fully Open-Sourcing Training Data
OpenSeeker is an open-source search agent system that democratizes access to frontier search capabilities by fully open-sourcing its training data. We fine-tuned Qwen3-30B-A3B-Thinking-2507 with 11.7K training examples and achieved state-of-the-art performance on frontier search benchmarks:
Highlights
Superior performance on search agent benchmarks: 48.4 on BrowseComp-ZH, 29.5 on… See the full description on the dataset page: https://huggingface.co/datasets/PolarSeeker/OpenSeeker-v1-Data.synthetic-multi-hop-openseekeropenseeker-teacher-model-comparison
OpenSeeker Teacher Model Comparison Results
This package organizes the OpenSeeker teacher-generation runs for Claude Sonnet 4.6 and three OpenAI GPT teacher backbones.
Contents
summary.json: machine-readable run manifest and aggregate metrics.
per_record_summary.jsonl / per_record_summary.tsv: one-row-per-task model metrics, predictions, and validation flags.
runs/<model_key>/: copied top-level run outputs. Per-task miroflow_logs/ directories are not copied to avoid… See the full description on the dataset page: https://huggingface.co/datasets/Datasearch/openseeker-teacher-model-comparison.openseeker-miroverse-mix-full
OpenSeeker + MiroVerse SFT mix (full)
All-data union of two deep-research agent SFT datasets in the OpenDR-eval agent wire
format (OpenAI-native messages, tools = search/visit, final answer wrapped in
<answer>...</answer>).
split
rows
composition
train
28691
4885 OpenSeeker + 23806 MiroVerse
validation
320
held-out
Columns: messages, tools, question, answer, n_tool_calls, source.
Why "full" rather than 1:1-by-rows
The earlier… See the full description on the dataset page: https://huggingface.co/datasets/Zephyr271828/openseeker-miroverse-mix-full.tool-reasoning-sft-RESEARCH-OpenSeeker-v1-Data
OpenSeeker v1 — Cleaned & Rectified
7,189 multi-turn deep-search agent trajectories converted into a strict reasoning + tool-call format with validated FSM transitions.
Origin
Derived from OpenSeeker/OpenSeeker-v1-Data.
OpenSeeker is an open-source search agent system that democratizes access to frontier search capabilities by fully open-sourcing its training data. Fine-tuned on Qwen3-30B-A3B-Thinking-2507 with 11.7K training examples, it achieves state-of-the-art… See the full description on the dataset page: https://huggingface.co/datasets/AmanPriyanshu/tool-reasoning-sft-RESEARCH-OpenSeeker-v1-Data.openseeker-miroverse-mix-1to1
OpenSeeker + MiroVerse 1:1 SFT mix
A 1:1 (by row count) mix of two deep-research agent SFT datasets, in the OpenDR-eval agent
wire format (OpenAI-native messages, tools = search/visit, final answer in <answer>...</answer>).
split
rows
composition
train
9,770
4,885 OpenSeeker + 4,885 MiroVerse
validation
128
64 + 64
Columns: messages, tools, question, answer, n_tool_calls, source.
OpenSeeker half: from Zephyr271828/openseeker_v1_sft.
MiroVerse half: HotpotQA /… See the full description on the dataset page: https://huggingface.co/datasets/Zephyr271828/openseeker-miroverse-mix-1to1.