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# Copyright (c) OpenMMLab. All rights reserved.
from functools import partial
from datasets import load_dataset
from xtuner.dataset import process_hf_dataset
from xtuner.dataset.collate_fns import default_collate_fn
from xtuner.dataset.map_fns import template_map_fn_factory, wizardlm_map_fn
from xtuner.utils import PROMPT_TEMPLATE
def wizardlm_dataset(tokenizer,
path='WizardLM/WizardLM_evol_instruct_V2_196k',
max_length=2048,
prompt_template=PROMPT_TEMPLATE.default,
remove_unused_columns=False,
pack_to_max_length=True):
template_map_fn = template_map_fn_factory(template=prompt_template)
dataset_org = load_dataset(path)
dataset = process_hf_dataset(
dataset=dataset_org,
tokenizer=tokenizer,
max_length=max_length,
dataset_map_fn=wizardlm_map_fn,
template_map_fn=template_map_fn,
remove_unused_columns=remove_unused_columns,
shuffle_before_pack=True,
pack_to_max_length=pack_to_max_length)
return dataset
def wizardlm_data_collator(return_hf_format=False):
return partial(default_collate_fn, return_hf_format=return_hf_format)
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