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Unverified Commit f02aea27 authored by Quentin Lhoest's avatar Quentin Lhoest Committed by GitHub
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Rename `glue` to `nyu-mll/glue` (#29679) 

* Update run_glue.py

* Update run_glue.py

* Update run_glue_no_trainer.py
parent 03847ef4
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Showing with 3 additions and 3 deletions
examples/pytorch/text-classification/run_glue.py
View file @ f02aea27
...@@ -304,7 +304,7 @@ def main(): ...@@ -304,7 +304,7 @@ def main():
if data_args.task_name is not None: if data_args.task_name is not None:
# Downloading and loading a dataset from the hub. # Downloading and loading a dataset from the hub.
raw_datasets = load_dataset( raw_datasets = load_dataset(
"glue", "nyu-mll/glue",
data_args.task_name, data_args.task_name,
cache_dir=model_args.cache_dir, cache_dir=model_args.cache_dir,
token=model_args.token, token=model_args.token,
......
examples/pytorch/text-classification/run_glue_no_trainer.py
View file @ f02aea27
...@@ -281,7 +281,7 @@ def main(): ...@@ -281,7 +281,7 @@ def main():
# download the dataset. # download the dataset.
if args.task_name is not None: if args.task_name is not None:
# Downloading and loading a dataset from the hub. # Downloading and loading a dataset from the hub.
raw_datasets = load_dataset("glue", args.task_name) raw_datasets = load_dataset("nyu-mll/glue", args.task_name)
else: else:
# Loading the dataset from local csv or json file. # Loading the dataset from local csv or json file.
data_files = {} data_files = {}
......
examples/tensorflow/text-classification/run_glue.py
View file @ f02aea27
...@@ -265,7 +265,7 @@ def main(): ...@@ -265,7 +265,7 @@ def main():
# Downloading and loading a dataset from the hub. In distributed training, the load_dataset function guarantee # Downloading and loading a dataset from the hub. In distributed training, the load_dataset function guarantee
# that only one local process can concurrently download the dataset. # that only one local process can concurrently download the dataset.
datasets = load_dataset( datasets = load_dataset(
"glue", "nyu-mll/glue",
data_args.task_name, data_args.task_name,
cache_dir=model_args.cache_dir, cache_dir=model_args.cache_dir,
token=model_args.token, token=model_args.token,
......
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