Skip to content

Commit

Permalink
update dataset load for emotion (intel#526)
Browse files Browse the repository at this point in the history
  • Loading branch information
changwangss authored Jan 6, 2023
1 parent 8856e74 commit 742db57
Show file tree
Hide file tree
Showing 2 changed files with 2 additions and 2 deletions.
Original file line number Diff line number Diff line change
Expand Up @@ -23,7 +23,7 @@
class DataLoader(object):
def __init__(self, batch_size, seq_len, dataset_name, task_name, data_dir, tokenizer_dir):
self.batch_size = batch_size
dataset = load_dataset(dataset_name, task_name, cache_dir=data_dir, split='validation')
dataset = load_dataset(dataset_name, cache_dir=data_dir, split='validation')
tokenizer = AutoTokenizer.from_pretrained(tokenizer_dir)
self.dataset = dataset.map(lambda e: tokenizer(e['text'],
truncation=True, padding='max_length', max_length=seq_len), batched=True)
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -298,7 +298,7 @@ def main():
# download the dataset.
if data_args.task_name is not None:
# Downloading and loading a dataset from the hub.
raw_datasets = load_dataset("emotion", data_args.task_name, cache_dir=model_args.cache_dir)
raw_datasets = load_dataset(data_args.task_name, cache_dir=model_args.cache_dir)
elif data_args.dataset_name is not None:
# Downloading and loading a dataset from the hub.
raw_datasets = load_dataset(
Expand Down

0 comments on commit 742db57

Please sign in to comment.