allganize/IFEval-Ko
IFEval-Ko: Korean Instruction-Following Benchmark for LLMs This dataset is originated from IFEval Dataset Korean Version README IFEval-Ko is a Korean adaptation of Google's open-source IFEval benchmark utilized with lm-evaluation-harness framework. It enables evaluation of large language models (LLMs) for their instruction-following capabilities in the Korean language. Dataset Details Original Source: google/IFEval Adaptation Author: Allganize Inc. LLM TEAM |… See the full description on the dataset page: https://huggingface.co/datasets/allganize/IFEval-Ko.
| Author / organization | allganize |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 2.7K (as reported by Hugging Face) |
| Likes | 11 |
| Created | 17 April 2025 |
| Last updated at source | 9 June 2025 |
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Recent changes
- 16 Oct 2026 Description: IFEval-Ko: Korean Instruction-Following Benchmark for LLMs This dataset is originated from IFEval Dataset Korean Version README IFEval-Ko is a Korean adaptation of Google's open-source IFEval benchmark utilized with lm-evaluation-harness fr → IFEval-Ko: Korean Instruction-Following Benchmark for LLMs This dataset is originated from IFEval Dataset Korean Version README IFEval-Ko is a Korean adaptation of Google's open-source IFEval benchmark utilized with lm-evaluation-harness fr
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