treamyracle/distilled-indonesian-ner-v2

🧬 Indonesian NER Distilled Dataset V2 — Multi-LLM Benchmark Suite A premier, multi-configuration Indonesian Named Entity Recognition (NER) distillation benchmark created for academic research (Skripsi) and NLP practitioners. This repository contains 4 distinct LLM-distilled datasets (replicating the full ~17,431-sentence benchmark) and the Human Gold Standard Benchmark. Every dataset follows a 2-stage distillation pipeline: Stage 1: Domain-Targeted Synthetic Generation across… See the full description on the dataset page: https://huggingface.co/datasets/treamyracle/distilled-indonesian-ner-v2

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