Export annotations as Python Annotation Types
Open a Colab to go through the exercise of exporting text annotations.
Export JSON annotations
labels = project.export_labels(download=True)
# Optionally, provide a date range as an optional parameter
# This will export only labels created between the supplied dates
# Date range can be formatted as "YYYY-MM-DD" or "YYYY-MM-DD hh:mm:ss"
labels = project.export_labels(download=True, start="2022-09-28", end="2022-10-04")
Annotation export formats
Text entity (named entity)
{
"featureId": "ck8kulppv000x0yf8pqpqqin4",
"schemaId": "ck8kukafkqx1a0880iczbrqym",
"title": "Entity type A",
"value": "entity_type_a",
"color": "#8000FF",
"version": 1,
"format": "text.location",
"data": {
"location": {
"start": 67,
"end": 128
}
}
}
Relationship
"relationships": [
{
"featureId":"cl12o1opb000g3g6acccvuqui",
"schemaId":"cl12nq1ik004g0z4lf84q58rm",
"data":
{
"source":"cl12nurbd00013g6an63jifsv",
"target":"cl12nv4ab00073g6as6jkwcj3",
"label": "verb"
},
"relationshipType":"unidirectional",
"version": 1
}
]
Radio
{
"featureId": "cknp3d0hw00013g68wkjemi6o",
"schemaId": "cknp3ctst06nq0ycte8icc2l3",
"title": "Is it daytime?",
"value": "is_it_daytime?",
"answer": {
"featureId": "cknp3d0hw00003g685c0nj5c1",
"schemaId": "cknp3cttx06oe0yct3f0d6pmz",
"title": "Yes",
"value": "yes"
}
}
Checklist
{
"featureId": "cl89b1d3g00013b6k8388lpol",
"schemaId": "cl89b186w0xg107xkga0fdf4j",
"scope": "global",
"title": "Attributes",
"value": "attributes",
"answers": [
{
"featureId": "cl89b1dln00033b6ky6j9cb62",
"schemaId": "cl89b186w0xg407xk4yvkf3o8",
"title": "Crowded",
"value": "crowded"
},
{
"featureId": "cl89b1e3z00063b6kll28e559",
"schemaId": "cl89b186w0xg607xk8ogy304a",
"title": "Foot traffic",
"value": "foot_traffic"
},
{
"featureId": "cl89b1ekd000a3b6kbiipqxi7",
"schemaId": "cl89b186w0xg807xke5kg606w",
"title": "Vehicle traffic",
"value": "vehicle_traffic"
}
]
}
Free-form text
{
"featureId": "cknp3dugp00073g68fkudn092",
"schemaId": "cknp3ctsu06nu0yctf0v5gzij",
"title": "Free-form text",
"value": "free-form_text",
"answer": "Correct text answer"
}
Sample Label payload - Text
[
{
"ID": "cknp3dwk4000b3g68ghqpti7y",
"DataRow ID": "ckekrwg3zqjbo0bs3hl15ex1i",
"Labeled Data": "https://storage.googleapis.com/labelbox-sample-datasets/nlp/lorem-ipsum.txt",
"Label": {
"objects": [
{
"featureId": "cknp3dvhg000a3g68hujtu6l1",
"schemaId": "ckkd4yl0e0le30ycl7i4944l5",
"title": "A",
"value": "a",
"color": "#1CE6FF",
"version": 1,
"format": "text.location",
"data": {
"location": {
"start": 6,
"end": 145
}
},
"instanceURI": "https://api.labelbox.com/masks/feature/cknp3dvhg000a3g68hujtu6l1?token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1c2VySWQiOiJjazUycnZ4MWtxYXpiMDc3MDBtcTI3eDRsIiwib3JnYW5pemF0aW9uSWQiOiJjazUycnZ4MG1wdzRnMDc2NndncXZqdGw5IiwiaWF0IjoxNjE4ODY2NjI4LCJleHAiOjE2MjE0NTg2Mjh9.tW78CH7C7Nb85w6epSULEpaY4sEg6UeWeSk0WmCP5jg"
}
],
"classifications": [
{
"featureId": "cknp3d0hw00013g68wkjemi6o",
"schemaId": "cknp3ctst06nq0ycte8icc2l3",
"title": "Radio",
"value": "radio",
"answer": {
"featureId": "cknp3d0hw00003g685c0nj5c1",
"schemaId": "cknp3cttx06oe0yct3f0d6pmz",
"title": "Yes",
"value": "yes"
}
},
{
"featureId": "cknp3dk5r00013g68lyduuwvp",
"schemaId": "cknp3dfo51h900y9y5j10g7hg",
"title": "Checklist",
"value": "checklist",
"answers": [
{
"featureId": "cknp3dk5r00003g6864se47ef",
"schemaId": "cknp3dfv21h9a0y9yagz41wtq",
"title": "1",
"value": "1"
},
{
"featureId": "cknp3dko500033g685s10zw9u",
"schemaId": "cknp3dfv21h9b0y9yg34i8xru",
"title": "2",
"value": "2"
}
]
}
]
},
"Created By": "[email protected]",
"Project Name": "NER",
"Created At": "2021-04-19T21:10:17.000Z",
"Updated At": "2021-04-19T21:10:18.000Z",
"Seconds to Label": 28.293,
"External ID": null,
"Agreement": -1,
"Benchmark Agreement": -1,
"Benchmark ID": null,
"Dataset Name": "Lorem ipsum.txt",
"Reviews": [],
"View Label": "https://editor.labelbox.com?project=ckkd4xstjqnsb0740zwio6grd&label=cknp3dwk4000b3g68ghqpti7y",
"Has Open Issues": 0,
"Skipped": false,
"DataRow Workflow Info": {
"taskName": "Done",
"Workflow History": [
{
"actorId": "cl3lobugu14pw0796fau0dgad",
"action": "APPROVE",
"createdAt": "2022-09-29T15:46:23.269Z",
"previousTaskId": "0ae49522-97f0-4a07-96c6-bd4d50963acd",
"previousTaskName": "Initial review task"
},
{
"actorId": "cl3lobugu14pw0796fau0dgad",
"action": "REWORK",
"createdAt": "2022-09-29T14:23:59.735Z",
"previousTaskId": "4a0d7f40-0c3f-0cc8-adc4-fd818684facd",
"previousTaskName": "Rework (all rejected)",
"nextTaskId": "0ae49522-97f0-4a07-96c6-bd4d50963acd",
"nextTaskName": "Initial review task"
},
{
"actorId": "cl1qe5naj3g460z6e0owr6mwj",
"action": "REJECT",
"createdAt": "2022-09-29T13:39:01.077Z",
"previousTaskId": "0ae49522-97f0-4a07-96c6-bd4d50963acd",
"previousTaskName": "Initial review task",
"nextTaskId": "4a0d7f40-0c3f-0cc8-adc4-fd818684facd",
"nextTaskName": "Rework (all rejected)"
},
{
"actorId": "cl3ucfsj22j8l073xaitnh1xe",
"action": "MOVE",
"createdAt": "2022-09-28T18:06:16.881Z",
"previousTaskId": "ea78e526-e429-002e-8b80-b72c4b591152",
"previousTaskName": "Initial labeling task",
"nextTaskId": "0ae49522-97f0-4a07-96c6-bd4d50963acd",
"nextTaskName": "Initial review task"
},
{
"actorId": "cl3ucfsj22j8l073xaitnh1xe",
"action": "MOVE",
"createdAt": "2022-09-28T18:06:16.859Z",
"nextTaskId": "ea78e526-e429-002e-8b80-b72c4b591152",
"nextTaskName": "Initial labeling task"
}
]
}
}
]