bring_your_own_model_for_sagemaker_labeling_workflows_with_active_learning.ipynb failed CI

Link to the notebook:
https://github.com/aws/amazon-sagemaker-examples/blob/master/ground_truth_labeling_jobs/bring_your_own_model_for_sagemaker_labeling_workflows_with_active_learning/bring_your_own_model_for_sagemaker_labeling_workflows_with_active_learning.ipynb

Error:

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Exception encountered at "In [3]":
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FileNotFoundError Traceback (most recent call last)
in
1 column_names = ["TITLE", "URL", "PUBLISHER", "CATEGORY", "STORY", "HOSTNAME", "TIMESTAMP"]
2 manifest_file = "partially-labeled.manifest"
----> 3 news_data_all = pd.read_csv('newsCorpora.csv', names=column_names, header=None, delimiter='\t')
4 news_data = news_data_all.sample(n=10000, random_state=42)
5 news_data = news_data[["TITLE","CATEGORY"]]

/usr/local/lib/python3.7/site-packages/pandas/io/parsers.py in parser_f(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitials

[...]

FileNotFoundError: [Errno 2] File b'newsCorpora.csv' does not exist: b'newsCorpora.csv'

Open the linked notebook at ground_truth_labeling_jobs/bring_your_own_model_for_sagemaker_labeling_workflows_with_active_learning and inspect cell In[3], especially the newsCorpora.csv load. Reproduce the CI failure and trace how the notebook expects this input to be available. Done means the notebook no longer raises FileNotFoundError during CI.

Written by the indexing model from the issue text.