IndicGenBench

IndicGenBench is a benchmark for performance in languages other than English. The official description says: "IndicGenBench - multilingual generation benchmark for Indic languages". Below we describe in simple words what benchmarks of this type generally examine.

IndicGenBench 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: IndicGenBench - multilingual generation benchmark for Indic languages.

What is the IndicGenBench benchmark?

IndicGenBench is a benchmark for performance in languages other than English. The official description says: 'IndicGenBench - multilingual generation benchmark for Indic languages'. Below we describe in simple words what benchmarks of this type generally examine.

What does IndicGenBench test?

IndicGenBench 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 IndicGenBench 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 IndicGenBench data and scores?

The official source is https://arxiv.org/abs/2404.16816. 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/indicgenbench/scores) or pull it directly from the Open LLM Radar API with any HTTP client.