The first-ever vast natural language processing benchmark for Indonesian Language. We provide multiple downstream tasks, pre-trained IndoBERT models, and a starter code! (AACL-IJCNLP 2020)
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IndoLEM is a comprehensive Indonesian NLU benchmark, comprising three pillars NLP task: morpho-syntax, semantic, and discourse. Presented in COLING 2020.
Pretraining, fine-tuning and evaluation scripts for IndicBERT-v2 and IndicXTREME
A benchmark dataset for Indonesian text summarization.
A collaborative project to collect datasets in Indonesian languages.
Translation models for 22 scheduled languages of India
[ICLR'25] BigCodeBench: Benchmarking Code Generation Towards AGI
