instruct-tuning
yuh0512_-_Qwen2.5-0.5B-Instruct-Tuningv1-ggufFredithefish_-_RedPajama-INCITE-Chat-3B-Instruction-Tuning-with-GPT-4-ggufyuh0512_-_SmolLM2-360M-Instruct-tuningv8-ggufyuh0512_-_SmolLM2-135M-Instruct-tuning-ggufyuh0512_-_SmolLM2-360M-Instruct-tuningv9-ggufyuh0512_-_SmolLM2-360M-Instruct-tuningv2-ggufyuh0512_-_SmolLM2-360M-Instruct-tuningv7-ggufyuh0512_-_SmolLM2-360M-Instruct-tuningv5-gguf
icl-symbol-tuning-instruct
Description
Few-shot prompting demonstrates that language models can learn in context even though they were not trained to do. However, explicitly learning to learn in context meta-icl leads to better results. With symbol tuning, labels are replaced with arbitrary symbols (e.g. foo/bar), which makes learning in context a key condition to learn the instructions
We implement symbol tuning, as presented in the Symbol tuning improves in-context learning paper with tasksource… See the full description on the dataset page: https://huggingface.co/datasets/tasksource/icl-symbol-tuning-instruct.NCD_Instruct-Tuning_Medical_QA_Indonesian
IndoHealth-NLP Vol. 2: NCD Instruct-Tuning Medical QA (Sample)
📁 VIEW & DOWNLOAD SAMPLE FILES HERE
⚠️ DATASET LIMITATION NOTE:
This repository contains a FREE SAMPLE (200 rows) for evaluation purposes. To download the full, production-ready dataset containing 3,497 meticulously curated rows, please visit our official Gumroad page: [https://3929431511879.gumroad.com/l/IndoHealth-NLPVol2NCDInstruct-TuningMedicalQAIndonesian]
Dataset Summary
Building localized… See the full description on the dataset page: https://huggingface.co/datasets/IndoHealth-NLP/NCD_Instruct-Tuning_Medical_QA_Indonesian.Mistral-7B-Instruct-v0.2-20k-choiceMistral-7B-Instruct-v0.2-20k-oehealth_literacy_instruct_tuninginstruct-tuning-sample
Pretrain
Dataset details
License: