tinybrain
tinybrain-instruct-sft-200k
TinyBrain Instruct 200K
A 196k+ row English SFT dataset for training tiny instruction-following language models.
TinyBrain Instruct 200K is a synthetic supervised fine-tuning dataset made for small language models, especially models around 100M–500M parameters.
The dataset focuses on short, clear, learnable assistant responses across education, basic math reasoning, clean conversation, planning, simplification, simple coding, and honesty/uncertainty behavior.
Most… See the full description on the dataset page: https://huggingface.co/datasets/exnivo/tinybrain-instruct-sft-200k.tinybrain-pretrain-corpus-2b
TinyBrain Pretrain Corpus 2B
A mixed-source English pretraining corpus for training small language models.
TinyBrain Pretrain Corpus 2B is a mixed-source dataset built for pretraining small causal language models, especially the TinyBrain-100M Base model.
The dataset combines educational text, factual/wiki-style text, math reasoning data, Python code-summary data, clean web text, and conversation-style data. It is designed to give small models a useful general foundation… See the full description on the dataset page: https://huggingface.co/datasets/exnivo/tinybrain-pretrain-corpus-2b.