the "dataset" and/or the "datasets" in this repo refers to the first 16384 rows of silicone:dyda_da:train dataset
trained over the gpt2 tokenizer, this tokenizer matches the avg #tokens/datapoint Using only 8192 vocab_size (from the base's 50257)
import transformers
tokenizer=transformers.GPT2TokenizerFast.from_pretrained("umarzein/silicone-dyda-16k-8k-tokenizer")
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