Error code: ConfigNamesError Exception: DataFilesNotFoundError Message: No (supported) data files found in denismagda/movies Traceback: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 65, in compute_config_names_response get_dataset_config_names( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 347, in get_dataset_config_names dataset_module = dataset_module_factory( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1840, in dataset_module_factory raise e1 from None File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1821, in dataset_module_factory return HubDatasetModuleFactoryWithoutScript( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1215, in get_module module_name, default_builder_kwargs = infer_module_for_data_files( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 591, in infer_module_for_data_files raise DataFilesNotFoundError("No (supported) data files found" + (f" in {path}" if path else "")) datasets.exceptions.DataFilesNotFoundError: No (supported) data files found in denismagda/movies

The Movies Dataset With Embeddings

This is a movies dataset with over 45,000 movies and 26 million ratings from over 270,000 users. The original data was taken from Kaggle and updated in the following way:

The movie_shema.sql file with a SQL schema was generated from the original data.
The overview_vector column of the vector(1536) type was added to store a vectorized representation of movies' overviews.
The movie_data_with_openai_embeddings.sql file was created with the overview_vector column holding vectors generated with OpenAI's text-embedding-ada-002 model.
The movie_data_with_openai_embeddings_20K_records.sql is a truncated version of the dataset with over 20,000 movies
The movie_data_with_openai_embeddings_3K_records.sql is the smallest version of the dataset with over 3,000 movies

If you need to use a different embedding model, then load the movie_data.sql dataset and then generate the embeddings for the overview or other columns.