The cost of a Benchmarking job depends on the size of the sample dataset used for evaluation, the number of machine translation services that are compared, ...

Benchmark is one of the main experiences at aiXplain, which means it resides in the Navigation Bar located on the top left side of your screen under “BENCHM...

Benchmark is a tool provided by aiXplain to measure and compare the quality of outputs generated by one or more selected models using reference-based benchm...

Benchmarking can be directly accessed on platform.aixplain.com from the main site navigation menu by clicking on “BENCHMARK”. Benchmarking can als...

If you could not find the right language pair for your MT project in the Benchmarking experience nor in the Discovery experience, please feel free to reques...

Here’s what you need to know before uploading your own dataset: Upload file format You should be sure that the files you upload are correctly for...

Reference similarity metrics: These metrics measure the similarity between reference translations and machine translation output, with higher similarity lea...

Below are the Metric Details for ASR Benchmarking: Word Error Rate (WER) Summary: Computes the number of word errors (insertions, deletions, ...

Yes, we provide publicly available datasets, our own selection of aiXplain datasets and such datasets that are shared by other aiXplain community members. D...

Benchmarking jobs call each selected service to collect translations (usage fees apply) for text samples provided in the selected dataset(s). While doing th...