Labels that will be applied to newly imported DataItems. If an identical
DataItem as one being imported already exists in the Dataset, then these
labels will be appended to these of the already existing one, and if labels
with identical key is imported before, the old label value will be
overwritten. If two DataItems are identical in the same import data
operation, the labels will be combined and if key collision happens in this
case, one of the values will be picked randomly. Two DataItems are
considered identical if their content bytes are identical (e.g. image bytes
or pdf bytes).
These labels will be overridden by Annotation labels specified inside index
file referenced by import_schema_uri, e.g. jsonl file.
Labels that will be applied to newly imported DataItems. If an identical
DataItem as one being imported already exists in the Dataset, then these
labels will be appended to these of the already existing one, and if labels
with identical key is imported before, the old label value will be
overwritten. If two DataItems are identical in the same import data
operation, the labels will be combined and if key collision happens in this
case, one of the values will be picked randomly. Two DataItems are
considered identical if their content bytes are identical (e.g. image bytes
or pdf bytes).
These labels will be overridden by Annotation labels specified inside index
file referenced by import_schema_uri, e.g. jsonl file.
Labels that will be applied to newly imported DataItems. If an identical
DataItem as one being imported already exists in the Dataset, then these
labels will be appended to these of the already existing one, and if labels
with identical key is imported before, the old label value will be
overwritten. If two DataItems are identical in the same import data
operation, the labels will be combined and if key collision happens in this
case, one of the values will be picked randomly. Two DataItems are
considered identical if their content bytes are identical (e.g. image bytes
or pdf bytes).
These labels will be overridden by Annotation labels specified inside index
file referenced by import_schema_uri, e.g. jsonl file.
Labels that will be applied to newly imported DataItems. If an identical
DataItem as one being imported already exists in the Dataset, then these
labels will be appended to these of the already existing one, and if labels
with identical key is imported before, the old label value will be
overwritten. If two DataItems are identical in the same import data
operation, the labels will be combined and if key collision happens in this
case, one of the values will be picked randomly. Two DataItems are
considered identical if their content bytes are identical (e.g. image bytes
or pdf bytes).
These labels will be overridden by Annotation labels specified inside index
file referenced by import_schema_uri, e.g. jsonl file.
Labels that will be applied to newly imported DataItems. If an identical
DataItem as one being imported already exists in the Dataset, then these
labels will be appended to these of the already existing one, and if labels
with identical key is imported before, the old label value will be
overwritten. If two DataItems are identical in the same import data
operation, the labels will be combined and if key collision happens in this
case, one of the values will be picked randomly. Two DataItems are
considered identical if their content bytes are identical (e.g. image bytes
or pdf bytes).
These labels will be overridden by Annotation labels specified inside index
file referenced by import_schema_uri, e.g. jsonl file.
Required. Points to a YAML file stored on Google Cloud Storage describing the import
format. Validation will be done against the schema. The schema is defined
as an OpenAPI 3.0.2 Schema
Object.
Required. Points to a YAML file stored on Google Cloud Storage describing the import
format. Validation will be done against the schema. The schema is defined
as an OpenAPI 3.0.2 Schema
Object.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-01-27 UTC."],[],[]]