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Import HTML data

📘

Supported file formats and import methods

Format: HTML
Import methods:

  • IAM Delegated Access
  • Signed URLs (https URLs only)

🚧

Note:

Thumbnail previews are not yet supported for HTML files; currently they'll display the raw HTML.

Parameters

Supported file format: DCM (multi-frame only)

Import methods:

  • IAM Delegated Access
  • Signed URLs (https URLs only)
ParameterRequiredDescription
row_dataYeshttps path to a HTML file. This must be a multi-frame DICOM file if you want to load multiple frames to the DICOM editor.
For IAM Delegated Access, this URL must be in virtual-hosted-style format. For older regions, your S3 bucket may be in https://<bucket-name>.s3.<region>.amazonaws.com/<key> format. If your object URLs are formatted this way, make sure they are in the virtual-hosted-style format before importing.
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"HTML"
Optional media type to provide better validation and error messages for the users.
metadata_fieldsNoUser-generated file name or ID for the file. For the best experience, this ID should be unique.
attachmentsNoAttachments
Asset overlays

Import format

[
  {
    "row_data": "https://lb-test-data.s3.us-west-1.amazonaws.com/sample_html_1.html",
    "global_key": "https://lb-test-data.s3.us-west-1.amazonaws.com/sample_html_1.html",
    "metadata_fields": [{"schema_id": "cko8s9r5v0001h2dk9elqdidh", "value": "tag_string"}],
    "attachments": [{"type": "HTML", "value": "https://storage.googleapis.com/labelbox-sample-datasets/Docs/windy.html" }]
  },
  {
    "row_data": "https://lb-test-data.s3.us-west-1.amazonaws.com/sample_html_2.html",
    "global_key": "https://lb-test-data.s3.us-west-1.amazonaws.com/sample_html_2.html",
    "metadata_fields": [{"schema_id": "cko8s9r5v0001h2dk9elqdidh", "value": "tag_string"}],
    "attachments": [{"type": "TEXT_URL", "value": "https://storage.googleapis.com/labelbox-sample-datasets/Docs/text_attachment.txt"}]
  }
]

[
  {
    "row_data": "https://storage.googleapis.com/labelbox-datasets/html_sample_data/sample_html_1.html",
    "global_key": "https://storage.googleapis.com/labelbox-datasets/html_sample_data/sample_html_1.html",
    "metadata_fields": [{"schema_id": "cko8s9r5v0001h2dk9elqdidh", "value": "tag_string"}],
    "attachments": [{"type": "HTML", "value": "https://storage.googleapis.com/labelbox-sample-datasets/Docs/windy.html" }]
  },
  {
    "row_data": "https://storage.googleapis.com/labelbox-datasets/html_sample_data/sample_html_2.html",
    "global_key": "https://storage.googleapis.com/labelbox-datasets/html_sample_data/sample_html_2.html",
    "metadata_fields": [{"schema_id": "cko8s9r5v0001h2dk9elqdidh", "value": "tag_string"}],
    "attachments": [{"type": "TEXT_URL", "value": "https://storage.googleapis.com/labelbox-sample-datasets/Docs/text_attachment.txt"}]
  }
]

<html>
  <head>
    <title>HTML File Example</title>
  </head>
<body bgcolor="ffffff">

<center><img src="https://labelbox.com/static/images/logo-v4.svg" align="bottom">

<hr>

<h1>Get to production AI faster</h1>

<p>Save time by creating and managing your training data, people, and processes in a single place — so you can focus on building the next big thing.</p>

<p><a href="https://labelbox.com/sales">Get a demo</a> or <a href="https://app.labelbox.com/">start for free.</a>
</center>
<hr>

</body>

</html>

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 - HTML")

assets = [
  {
    "row_data": "https://storage.googleapis.com/labelbox-datasets/html_sample_data/sample_html_1.html",
    "global_key": "https://storage.googleapis.com/labelbox-datasets/html_sample_data/sample_html_1.html",
    "metadata_fields": [{"schema_id": "cko8s9r5v0001h2dk9elqdidh", "value": "tag_string"}],
    "attachments": [{"type": "HTML", "value": "https://storage.googleapis.com/labelbox-sample-datasets/Docs/windy.html" }]
  },
  {
    "row_data": "https://storage.googleapis.com/labelbox-datasets/html_sample_data/sample_html_2.html",
    "global_key": "https://storage.googleapis.com/labelbox-datasets/html_sample_data/sample_html_2.html",
    "metadata_fields": [{"schema_id": "cko8s9r5v0001h2dk9elqdidh", "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)