Evaluation

Benchmarks: evaluation plan

How models will be evaluated on the BUDOVA test set. No runs have happened yet: results will be published with the baseline-model release (after v1.0). The only numbers on this page are targets for our own model.

Roadmap · no results yet
ModelNER F1Term acc.
BUDOVA-XLM-R-base (ours)Domain-adapted XLM-R, LoRA fine-tune on BUDOVA (planned for the baseline-model release)
target 0.891target 0.880
Liberta-UK-largeUkrainian LM with supervised NER head
to be measuredto be measured
XLM-R-large (zero-shot)No BUDOVA fine-tune
to be measuredto be measured
mBERT-baseMultilingual baseline
to be measuredto be measured
GPT-4o (few-shot)5-shot prompt, no fine-tune
to be measuredto be measured
Random baselineUniform label assignment
to be measuredto be measured

The third-party models in the table are a comparison plan, not results: none of them has been run on the BUDOVA test set yet.

Collaboration

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We are looking for researchers, construction professionals, and language specialists to participate in the project.

Supported by
Microsoft AI for Good Lab