​
Specifications

File format: TXT Text encoding: UTF-8 (Note: The Editor does not process any special character sequences like HTML Entities, Unicode Escape Sequence, or colon emoji aliases.) Import methods:
  • IAM Delegated Access
  • Signed URLs (https URLs only)
  • Direct upload of local files(256 MB max file size) Note: Direct upload currently does not support adding additional metadata and attachments, see below Python example.

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Parameters

ParameterRequiredDescription
row_dataYesYou can upload text in two ways: 1) A https url to cloud hosted text file. The txt file must be encoded as UTF-8. 2) A text string (up to 16MB)
global_keyNoUnique user-generated file name or ID for the file. Global keys are enforced to be unique in your org. Data rows will not be imported if its global keys are duplicated to existing data rows.
media_typeNo"TEXT" (optional media type to provide better validation and error messaging)
metadata_fieldsNoSee Metadata.
attachmentsNoSee Attachments and Asset overlays.

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Import format

[
  {
    "row_data": "https://lb-test-data.s3.us-west-1.amazonaws.com/text-samples/sample-text-1.txt",
    "global_key": "https://lb-test-data.s3.us-west-1.amazonaws.com/text-samples/sample-text-1.txt",
    "media_type": "TEXT",
    "metadata_fields": [{"name": "<metadata_field_name>", "value": "tag_string"}],
    "attachments": [{"type": "TEXT_URL", "value": "https://storage.googleapis.com/labelbox-sample-datasets/Docs/text_attachment.txt"}]
  },
  {
    "row_data": "https://lb-test-data.s3.us-west-1.amazonaws.com/text-samples/sample-text-2.txt",
    "global_key": "https://lb-test-data.s3.us-west-1.amazonaws.com/text-samples/sample-text-2.txt",
    "media_type": "TEXT",
    "metadata_fields": [{"name": "<metadata_field_name>", "value": "tag_string"}],
    "attachments": [{"type": "TEXT_URL", "value": "https://storage.googleapis.com/labelbox-sample-datasets/Docs/text_attachment.txt"}]
  }
]

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Python example

from labelbox import Client
from uuid import uuid4 ## to generate unique IDs
import datetime

client = Client(api_key="<YOUR_API_KEY>")

dataset = client.create_dataset(name="Bulk import example - Text")

assets = [
  {
    "row_data": "https://lb-test-data.s3.us-west-1.amazonaws.com/text-samples/sample-text-1.txt",
    "global_key": "https://lb-test-data.s3.us-west-1.amazonaws.com/text-samples/sample-text-1.txt",
    "media_type": "TEXT",
    "metadata_fields": [{"name": "<metadata_field_name>", "value": "tag_string"}],
    "attachments": [{"type": "TEXT_URL", "value": "https://storage.googleapis.com/labelbox-sample-datasets/Docs/text_attachment.txt"}]
  }
]
task = dataset.create_data_rows(assets)
task.wait_till_done()
print(task.errors)