aisingapore/NLR-NLI

SEA Abstractive Summarization SEA Abstractive Summarization evaluates a model's ability to read a document, identify the key points within, and summarize them into a coherent and fluent text while paraphrasing the document. It is sampled from IndoNLI for Indonesian, IndicXNLI for Tamil, and XNLI for Thai and Vietnamese. Supported Tasks and Leaderboards SEA Abstractive Summarization is designed for evaluating chat or instruction-tuned large language models (LLMs).… See the full description on the dataset page: https://huggingface.co/datasets/aisingapore/NLR-NLI.