List all analyses
List all Analyses that user has created. The list can be filtered by providing query parameters such as 'model' or paginated with 'offset' and 'limit'.
Query Parameters
- model integer
ID of the model
- offset integer
An offset is simply the number of records you wish to skip before selecting records.
- limit integer
Limit of entries that should be returned.
- 200
- 401
- 500
List of Analyses.
- application/json
- Schema
- Example (from schema)
Schema array
- created date-time
The date and time the analysis was started
- finished date-time
The date and time the analysis has finished.
- document_count integer
Total of documents
- uuid uuid
The UUID of the analysis.
- id integer
The ID of the analysis.
- name string
The name of the analysis.
- progress float
The progress of the analysis.
- model_id integer
The ID of the model used by that analysis.
- status string
Possible values: [
CREATED
,QUEUED
,STARTED
,ANALYZING
,FAILED
,FINISHED
]The status of the analysis.
- type string
Possible values: [
ABSA
,CLASS
,LABEL
,CLASSLABEL
]The classification type of the analysis.
- description string
The description of the analysis.
classes object[]
All classes that belong to the analysis.
name stringThe class's name.
example stringA usage example.
description stringThe class's description to help the annotator.
id integerThe ID of the label
labels object[]
All labels that belong to the analysis.
id integerThe ID of the label
name stringThe label's name.
documents object[]
List of documents of the analysis.
text stringThe document text
segments object[]
list of segments
text stringThe segment text
span integer[]The interval at which the segment occurs in the original document
tags object[]
A list of tags
class stringThe class's name.
label stringThe label's name.
[
{
"created": "2023-11-02",
"finished": "2023-11-02",
"document_count": 100,
"uuid": "123e4567-e89b-12d3-a456-426614174000",
"id": 1,
"name": "This is my first analysis",
"progress": 87.7,
"model_id": 10,
"status": "CREATED",
"type": "ABSA",
"description": "string",
"classes": [
{
"name": "Comfort",
"example": "This is a good example",
"description": "This is a good description",
"id": 1
}
],
"labels": [
{
"id": 1,
"name": "POS"
}
],
"documents": [
{
"text": "Document 1",
"segments": [
{
"text": "Segment 1",
"span": [
0,
9
],
"tags": [
{
"class": "Comfort",
"label": "POS"
}
]
}
]
}
]
}
]
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