For Translation:
CSV file translation.csv, with each line in format:
ML_USE,GCS_FILE_PATH
GCS_FILE_PATH leads to a .TSV file which describes examples that have
given ML_USE, using the following row format per line:
TEXT_SNIPPET (in source language) \t TEXT_SNIPPET (in target
language)
For Tables:
Output depends on whether the dataset was imported from Google Cloud
Storage or BigQuery.
Google Cloud Storage case:
gcs_destination
must be set. Exported are CSV file(s) tables_1.csv,
tables_2.csv,...,tables_N.csv with each having as header line
the table's column names, and all other lines contain values for
the header columns.
BigQuery case:
bigquery_destination
pointing to a BigQuery project must be set. In the given project a
new dataset will be created with name
export_data_<automl-dataset-display-name>_<timestamp-of-export-call>
where <automl-dataset-display-name> will be made
BigQuery-dataset-name compatible (e.g. most special characters will
become underscores), and timestamp will be in
YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In that
dataset a new table called primary_table will be created, and
filled with precisely the same data as this obtained on import.
Required. The Google Cloud Storage location where the output is to be written to.
For Image Object Detection, Text Extraction, Video Classification and
Tables, in the given directory a new directory will be created with name:
export_data-<dataset-display-name>-<timestamp-of-export-call> where
timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All export
output will be written into that directory.
Required. The Google Cloud Storage location where the output is to be written to.
For Image Object Detection, Text Extraction, Video Classification and
Tables, in the given directory a new directory will be created with name:
export_data-<dataset-display-name>-<timestamp-of-export-call> where
timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All export
output will be written into that directory.
Required. The Google Cloud Storage location where the output is to be written to.
For Image Object Detection, Text Extraction, Video Classification and
Tables, in the given directory a new directory will be created with name:
export_data-<dataset-display-name>-<timestamp-of-export-call> where
timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All export
output will be written into that directory.
