from datasets import load_dataset
r = load_dataset("McGill-NLP/feedbackQA")["train"]
/home/user/miniconda3/envs/trustllm/lib/python3.9/site-packages/datasets/load.py:1486: FutureWarning: The repository for McGill-NLP/feedbackQA contains custom code which must be executed to correctly load the dataset. You can inspect the repository content at https://hf.co/datasets/McGill-NLP/feedbackQA
You can avoid this message in future by passing the argument trust_remote_code=True.
Passing trust_remote_code=True will be mandatory to load this dataset from the next major release of datasets.
warnings.warn(
/home/user/.cache/huggingface/datasets/downloads/8c4cae661a2aae10dee7ff50c9a5c5cd83aff73715f7520ecaeab3cf555dd2f2/feedback_test.json
Generating train split: 0%| | 0/5660 [00:00<?, ? examples/s]
Traceback (most recent call last):
File "/home/user/miniconda3/envs/trustllm/lib/python3.9/site-packages/datasets/builder.py", line 1748, in _prepare_split_single
for key, record in generator:
File "/home/user/.cache/huggingface/modules/datasets_modules/datasets/McGill-NLP--feedbackQA/20c8f938f417c88303bb7041cea9554c1d14667686d7d7c5dda83dd4f39e5dc4/feedbackQA.py", line 109, in _generate_examples
with open(filepath, encoding="utf-8") as f:
File "/home/user/miniconda3/envs/trustllm/lib/python3.9/site-packages/datasets/streaming.py", line 75, in wrapper
return function(*args, download_config=download_config, *kwargs)
File "/home/user/miniconda3/envs/trustllm/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 1219, in xopen
return open(main_hop, mode, args, **kwargs)
NotADirectoryError: [Errno 20] Not a directory: '/home/user/.cache/huggingface/datasets/downloads/8c4cae661a2aae10dee7ff50c9a5c5cd83aff73715f7520ecaeab3cf555dd2f2/feedback_train.json'
Hi, Can you reproduce the error ?
/home/user/miniconda3/envs/trustllm/lib/python3.9/site-packages/datasets/load.py:1486: FutureWarning: The repository for McGill-NLP/feedbackQA contains custom code which must be executed to correctly load the dataset. You can inspect the repository content at https://hf.co/datasets/McGill-NLP/feedbackQA You can avoid this message in future by passing the argument
trust_remote_code=True
. Passingtrust_remote_code=True
will be mandatory to load this dataset from the next major release ofdatasets
. warnings.warn( /home/user/.cache/huggingface/datasets/downloads/8c4cae661a2aae10dee7ff50c9a5c5cd83aff73715f7520ecaeab3cf555dd2f2/feedback_test.json Generating train split: 0%| | 0/5660 [00:00<?, ? examples/s] Traceback (most recent call last): File "/home/user/miniconda3/envs/trustllm/lib/python3.9/site-packages/datasets/builder.py", line 1748, in _prepare_split_single for key, record in generator: File "/home/user/.cache/huggingface/modules/datasets_modules/datasets/McGill-NLP--feedbackQA/20c8f938f417c88303bb7041cea9554c1d14667686d7d7c5dda83dd4f39e5dc4/feedbackQA.py", line 109, in _generate_examples with open(filepath, encoding="utf-8") as f: File "/home/user/miniconda3/envs/trustllm/lib/python3.9/site-packages/datasets/streaming.py", line 75, in wrapper return function(*args, download_config=download_config, *kwargs) File "/home/user/miniconda3/envs/trustllm/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 1219, in xopen return open(main_hop, mode, args, **kwargs) NotADirectoryError: [Errno 20] Not a directory: '/home/user/.cache/huggingface/datasets/downloads/8c4cae661a2aae10dee7ff50c9a5c5cd83aff73715f7520ecaeab3cf555dd2f2/feedback_train.json'