CoVoST

CoVoST is a benchmark for performance in languages other than English. The official description says: "CoVoST - Conversational Voice Translation benchmark for speech-to-text translation across multiple languages". Below we describe in simple words what benchmarks of this type generally examine.

CoVoST measures performance in languages other than english. In detail, it checks:

• understanding and answering in many different languages
• translation quality between language pairs
• keeping math and reasoning quality when the question is not in English
• treating low-resource languages fairly instead of defaulting to English

The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better.

Official methodology note: CoVoST - Conversational Voice Translation benchmark for speech-to-text translation across multiple languages.

What is the CoVoST benchmark?

CoVoST is a benchmark for performance in languages other than English. The official description says: 'CoVoST - Conversational Voice Translation benchmark for speech-to-text translation across multiple languages'. Below we describe in simple words what benchmarks of this type generally examine.

What does CoVoST test?

CoVoST mainly measures performance in languages other than English. Concretely, it checks: understanding and answering in many different languages; translation quality between language pairs; keeping math and reasoning quality when the question is not in English.

How is the CoVoST score calculated?

The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better. The declared maximum score of this benchmark is 100.0.

Where do I get CoVoST data and scores?

The official benchmark page/reference is linked on this page. Every score on Open LLM Radar is also available as open data: download the scores JSON (http://open-llm-radar-api:8000/api/v1/benchmarks/covost/scores) or pull it directly from the Open LLM Radar API with any HTTP client.