12 duplicated lines in:
  - notebooks/quickstart/delta_format/delta_quickstart.ipynb (142:153, 6%)
  - public_datasets/public_datasets.ipynb (314:325, 2%)

11 duplicated lines in:
  - notebooks/sampling/monte_carlo/customer_price_index.ipynb (629:639, 1%)
  - public_datasets/public_datasets.ipynb (425:435, 2%)

11 duplicated lines in:
  - notebooks/classification/logistic_regression/wine_quality_classification_mlr.ipynb (144:154, 1%)
  - public_datasets/public_datasets.ipynb (161:171, 2%)

11 duplicated lines in:
  - notebooks/classification/logistic_regression/wine_quality_classification_mlr.ipynb (144:154, 1%)
  - public_datasets/public_datasets.ipynb (141:151, 2%)

11 duplicated lines in:
  - notebooks/generative_ai/finetuning/translation_finetuning.ipynb (718:728, 1%)
  - public_datasets/public_datasets.ipynb (425:435, 2%)

11 duplicated lines in:
  - notebooks/generative_ai/content_generation/description_from_video.ipynb (665:675, 1%)
  - public_datasets/public_datasets.ipynb (425:435, 2%)

11 duplicated lines in:
  - notebooks/quickstart/iceberg/iceberg_quickstart.ipynb (349:359, 3%)
  - public_datasets/public_datasets.ipynb (425:435, 2%)

11 duplicated lines in:
  - notebooks/quickstart/delta_format/delta_quickstart.ipynb (180:190, 5%)
  - public_datasets/public_datasets.ipynb (425:435, 2%)

11 duplicated lines in:
  - notebooks/generative_ai/content_generation/product_attributes_from_image.ipynb (789:799, 1%)
  - public_datasets/public_datasets.ipynb (425:435, 2%)

11 duplicated lines in:
  - notebooks/regression/decision_tree_regression/housing_prices_prediction.ipynb (607:617, 1%)
  - public_datasets/public_datasets.ipynb (425:435, 2%)

11 duplicated lines in:
  - notebooks/classification/logistic_regression/wine_quality_classification_mlr.ipynb (849:859, 1%)
  - public_datasets/public_datasets.ipynb (425:435, 2%)

11 duplicated lines in:
  - notebooks/classification/multilayer_perceptron_classifier/sms_spam_filtering.ipynb (373:383, 2%)
  - public_datasets/public_datasets.ipynb (425:435, 2%)

11 duplicated lines in:
  - notebooks/classification/linear_support_vector_machine/predictive_maintenance.ipynb (530:540, 2%)
  - public_datasets/public_datasets.ipynb (425:435, 2%)

11 duplicated lines in:
  - notebooks/generative_ai/sentiment_analysis/sentiment_analysis_movie_reviews.ipynb (544:554, 1%)
  - public_datasets/public_datasets.ipynb (425:435, 2%)

11 duplicated lines in:
  - notebooks/regression/random_forest_regression/bike_trip_duration_prediction.ipynb (484:494, 2%)
  - public_datasets/public_datasets.ipynb (425:435, 2%)

11 duplicated lines in:
  - notebooks/quickstart/dataproc_metastore/metastore_spark_quickstart.ipynb (231:241, 4%)
  - public_datasets/public_datasets.ipynb (425:435, 2%)

9 duplicated lines in:
  - notebooks/regression/decision_tree_regression/housing_prices_prediction.ipynb (159:167, 1%)
  - public_datasets/public_datasets.ipynb (68:76, 2%)

9 duplicated lines in:
  - notebooks/classification/multilayer_perceptron_classifier/sms_spam_filtering.ipynb (104:112, 2%)
  - public_datasets/public_datasets.ipynb (68:76, 2%)

9 duplicated lines in:
  - notebooks/classification/linear_support_vector_machine/predictive_maintenance.ipynb (109:117, 1%)
  - public_datasets/public_datasets.ipynb (68:76, 2%)

9 duplicated lines in:
  - notebooks/quickstart/dataproc_metastore/metastore_spark_quickstart.ipynb (155:163, 3%)
  - public_datasets/public_datasets.ipynb (68:76, 2%)

8 duplicated lines in:
  - notebooks/sampling/monte_carlo/customer_price_index.ipynb (229:236, 1%)
  - public_datasets/public_datasets.ipynb (69:76, 1%)

8 duplicated lines in:
  - notebooks/generative_ai/content_generation/description_from_video.ipynb (223:230, 1%)
  - public_datasets/public_datasets.ipynb (69:76, 1%)

8 duplicated lines in:
  - notebooks/generative_ai/content_generation/product_attributes_from_image.ipynb (221:228, <1%)
  - public_datasets/public_datasets.ipynb (69:76, 1%)

8 duplicated lines in:
  - notebooks/quickstart/delta_format/delta_quickstart.ipynb (83:90, 4%)
  - public_datasets/public_datasets.ipynb (69:76, 1%)

7 duplicated lines in:
  - notebooks/classification/multilayer_perceptron_classifier/sms_spam_filtering.ipynb (118:124, 1%)
  - public_datasets/public_datasets.ipynb (83:89, 1%)

7 duplicated lines in:
  - notebooks/classification/linear_support_vector_machine/predictive_maintenance.ipynb (123:129, 1%)
  - public_datasets/public_datasets.ipynb (83:89, 1%)

7 duplicated lines in:
  - notebooks/classification/logistic_regression/wine_quality_classification_mlr.ipynb (120:126, <1%)
  - public_datasets/public_datasets.ipynb (83:89, 1%)

7 duplicated lines in:
  - notebooks/regression/decision_tree_regression/housing_prices_prediction.ipynb (174:180, 1%)
  - public_datasets/public_datasets.ipynb (83:89, 1%)

7 duplicated lines in:
  - notebooks/regression/random_forest_regression/bike_trip_duration_prediction.ipynb (159:165, 1%)
  - public_datasets/public_datasets.ipynb (83:89, 1%)

6 duplicated lines in:
  - notebooks/generative_ai/content_generation/description_from_video.ipynb (143:148, <1%)
  - public_datasets/public_datasets.ipynb (44:49, 1%)

6 duplicated lines in:
  - notebooks/generative_ai/content_generation/description_from_video.ipynb (143:148, <1%)
  - public_datasets/public_datasets.ipynb (30:35, 1%)

6 duplicated lines in:
  - notebooks/sampling/monte_carlo/customer_price_index.ipynb (204:209, <1%)
  - public_datasets/public_datasets.ipynb (44:49, 1%)

6 duplicated lines in:
  - notebooks/sampling/monte_carlo/customer_price_index.ipynb (204:209, <1%)
  - public_datasets/public_datasets.ipynb (30:35, 1%)

6 duplicated lines in:
  - notebooks/generative_ai/content_generation/product_attributes_from_image.ipynb (141:146, <1%)
  - public_datasets/public_datasets.ipynb (30:35, 1%)

6 duplicated lines in:
  - notebooks/generative_ai/content_generation/product_attributes_from_image.ipynb (141:146, <1%)
  - public_datasets/public_datasets.ipynb (44:49, 1%)

6 duplicated lines in:
  - notebooks/sampling/monte_carlo/customer_price_index.ipynb (243:248, <1%)
  - public_datasets/public_datasets.ipynb (30:35, 1%)

6 duplicated lines in:
  - notebooks/sampling/monte_carlo/customer_price_index.ipynb (243:248, <1%)
  - public_datasets/public_datasets.ipynb (44:49, 1%)

6 duplicated lines in:
  - notebooks/sampling/monte_carlo/customer_price_index.ipynb (12:17, <1%)
  - public_datasets/public_datasets.ipynb (30:35, 1%)

6 duplicated lines in:
  - notebooks/sampling/monte_carlo/customer_price_index.ipynb (12:17, <1%)
  - public_datasets/public_datasets.ipynb (44:49, 1%)