metadata
license: apache-2.0
language:
- en
size_categories:
- 1K<n<10K
sablo/oasst2_curated in ChatML format, ready to use in HuggingFace TRL's SFT Trainer.
Python code used for conversion:
from datasets import load_dataset
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("Felladrin/Llama-160M-Chat-v1")
dataset = load_dataset("sablo/oasst2_curated", split="train")
def format(columns):
return { "text": tokenizer.apply_chat_template(columns["messages"], tokenize=False) }
dataset.map(format).select_columns(['text']).to_parquet("train.parquet")