LeroyDyer/conversations

from datasets import load_dataset dataset = load_dataset("LeroyDyer/conversations", split = "train[:5000]") EOS_TOKEN = tokenizer.eos_token def formatting_func(example,max_length = 2048): max_seq_length = max_length text = example["Text"] chunks = [text[i:i+max_seq_length] for i in range(0, len(text), max_seq_length)] formatted_examples = [{"Text": chunk} for chunk in chunks] return formatted_examples collections of youtubes and controvershal dockuments !!! NOT FOR… See the full description on the dataset page: https://huggingface.co/datasets/LeroyDyer/conversations.

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