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[WIP] Add ROOTS + Oscar mixed data #43

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[WIP] Add ROOTS + Oscar mixed data #43

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26 changes: 24 additions & 2 deletions scripts/lang_adapt/madx_run_clm.py
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Original file line number Diff line number Diff line change
Expand Up @@ -651,7 +651,29 @@ def load_data(data_args, model_args):
#
# In distributed training, the load_dataset function guarantee that only one local process can concurrently
# download the dataset.
if data_args.dataset_name is not None:
if data_args.dataset_name is not None and data_args.train_file is not None:
# Create a dataset from the provided file
data_files = {}
dataset_args = {}
if data_args.train_file is not None:
data_files["train"] = data_args.train_file
extension = (
data_args.train_file.split(".")[-1]
if data_args.train_file is not None
else data_args.validation_file.split(".")[-1]
)
if extension == "txt":
extension = "text"
dataset_args["keep_linebreaks"] = data_args.keep_linebreaks
raw_datasets = load_dataset(extension, data_files=data_files, cache_dir=model_args.cache_dir, **dataset_args)

# Downloading and loading a dataset from the hub.
raw_hf_datasets = load_dataset(
data_args.dataset_name, data_args.dataset_config_name, cache_dir=model_args.cache_dir
)
raw_datasets['train'] = datasets.concatenate_datasets(raw_datasets['train'], raw_hf_datasets['train']).shuffle(seed=42)

elif data_args.dataset_name is not None:
# Downloading and loading a dataset from the hub.
raw_datasets = load_dataset(
data_args.dataset_name, data_args.dataset_config_name, cache_dir=model_args.cache_dir
Expand Down Expand Up @@ -680,7 +702,7 @@ def load_data(data_args, model_args):
elif data_args.max_eval_samples is not None :
raw_datasets = raw_datasets['train'].train_test_split(test_size = data_args.max_eval_samples)
else:
raw_datasets = raw_datasets['train'].train_test_split(test_size = data.args.validation_split_percentage/100.0)
raw_datasets = raw_datasets['train'].train_test_split(test_size = data_args.validation_split_percentage/100.0)
raw_datasets['validation'] = raw_datasets['test']
# See more about loading any type of standard or custom dataset (from files, python dict, pandas DataFrame, etc) at
# https://huggingface.co/docs/datasets/loading_datasets.html.
Expand Down