llm模型微调该如何替换为自己上传的数据集。

import os
os.environ['CUDA_VISIBLE_DEVICES'] = '0'

import torch

from swift.llm import (
DatasetName, InferArguments, ModelType, SftArguments,
infer_main, sft_main, app_ui_main, merge_lora
)

model_type = ModelType.qwen_7b_chat
sft_args = SftArguments(
model_type=model_type,
train_dataset_sample=2000,
dataset=[DatasetName.blossom_math_zh],# 此处该如何替换为自己创建的数据集？
output_dir='output')
result = sft_main(sft_args)
best_model_checkpoint = result['best_model_checkpoint']
print(f'best_model_checkpoint: {best_model_checkpoint}')
torch.cuda.empty_cache()

infer_args = InferArguments(
ckpt_dir=best_model_checkpoint,
load_dataset_config=True,
val_dataset_sample=10)
result = infer_main(infer_args)
torch.cuda.empty_cache()

app_ui_main(infer_args)