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2026 · Research design, corpus construction & implementation

IDAgent: Bidirectional Idea–Dataset Discovery

We build a shared Idea–Dataset research memory for both idea-to-dataset retrieval and dataset-grounded research ideation.

217,942
aligned Idea–Dataset pairs
64,252
source papers
0.3334
best relaxed MRR
IDAgent architecture with bidirectional research agents and offline research memory
01

Problem

Ideas describe goals and hypotheses while datasets describe fields, modalities, and empirical boundaries; keyword search cannot reliably align the two.

02

Approach

We constructed a large aligned corpus, trained an ID-SBERT/Faiss retriever, designed semantic clustering and cold-start evaluation, and implemented a RARO generation workflow.

03

Outcome

All 32 analysis tests pass, the 14-page paper recompiles, and 12 retrieval tables match generated CSVs. The interactive controller remains to be evaluated end to end.