DeepResearch and Hard Expert Mark

DeepResearch and Hard Expert Mark NEW

Open-area in-depth research .. high-value Chinese source .. ..the overall oversight report indicates that ..sweet maths

For in-depth research and difficult reasoning scenarios, four types of high-quality label data are provided: open-area multiple jumps, high-value Chinese studies, and studies with complete monitoring signals, as well as undergraduate to doctoral mathematical experts. All the labels are performed by field experts and teams of highly skilled people, with evidence traceable and conclusive.

Section Positioning and Development Value

Evidence is traceable.

Each conclusion is accompanied by a chain of evidence, a reference source and a search path, and a model is trained to be “grounded” and audit-friendly.

Watch all signals.

The reported data also provide a reference answer, evidence chain, reference, search path and five types of signal.

Expert level threshold

The mathematics and professional fields are marked and reviewed by a highly skilled team, which is difficult to match between GPQA / FrontierMath.

Chinese scenes complement

Specialized in building Chinese authoritative source research data to complement the DeepResearch Training and Evaluation Shortboard.

Data and Task Composition, Scale Description

Task Scale

Researcher: 2,000-10,000; report marked 3,000-8,000; mathematics: 5,000-20,000, supporting custom-made expansion.

Synchronising folder

The various types of authoritative Chinese sources, such as official networks, regulatory documents, research, academic banks, industry databases, and so forth, are marked by levels of authority and timeliness.

Annotation Granularity

Three layers of question, evidence, sentence; mathematical questions provide multi-path answers and rigorous evaluation.

Mathistic difficulty alignment GPQA / FrontierMath interval; research group graded by the degree of scarcity of the letter source by the number of logical jumps.

Typical Use Cases

DeepResearch Product Training

Provides research-type Agent with a full chain of surveillance signal from search to writing.

Debrilling the reasoning tracks

Using resonating track as a source of distillation, enhances the long chain of reasoning of small models.

A mathematical breakthrough.

The ability of the model to support mathematical reasoning is up to the limit on competition and graduate-level topics.

Credible and interpretable research

Research on the sources and interpretability of model hallucinations based on evidence chains and references.

Delivery Format and Specifications

Delivery Format

JSON/JSONL Structured Data + Original Report (Markdown/PDF) + Math Questions LaTeX + Marks Detailed Table.

Core Fields

task_id、question、reference_answer、evidence_chain、citations、retrieval_path、reasoning_trace、difficulty。

Quality Control Standards

Double-review + factual verification + expert review; mathematical-based with a certified rigorous rating, 98 per cent completeness of the reporting-type element.

Delivery Cycle

Standard 4-6 weeks; Mathematics and Professional Report 6-8 weeks; support delivery in batches.

Licensing and Compliance

Commercial use authorization + source compliance statement + personal information desensitization processing.

Example Description

Five-factor structure (selected) of the report

Other Organiser
"task id": "report-0135",
"Question": "The country's medical images in 2026 were approved in three categories of AI."
"Reference answer": "As of 2026Q2, three categories of N..."
"evidence chain":
"Claim": "2026Q2 Add 7", "source": "NMPA Bulletin", "quate": "..."
{"claim": "Ct" highest percentage, "source": "industry," "quate": "..."}
I don't know.
"retrieval path": ["NMPA database → sort filter export", "Research library → keyword search"],
"Reasoning trace": ["Recognition calibration", "cross-checking", "composed in tables"]
♪ I'm sorry ♪

Maths Title Structure (Excerpt)

Other Organiser
"task id": "mast-04211,
"level": "PhD,"
"field": "Algebra geometry,"
"statement": "Set X for smooth insinuation, prove..."
"solutes":  Chuckles 
"Path": "steps": 12, "rigor": 5,
"Path," "steps": 9, "rigor": 4.
I don't know.
"review": {"correctness": true, } "gap found": "Step 7 needs to be supplemented by a critical argument
♪ I'm sorry ♪