Querying Details About Team Labeling Task Statistics

Function

This API is used to query details about team labeling task statistics.

Debugging

You can debug this API through automatic authentication in API Explorer or use the SDK sample code generated by API Explorer.

URI

GET /v2/{project_id}/datasets/{dataset_id}/workforce-tasks/{workforce_task_id}/data-annotations/stats

**Table 1** Path Parameters
Parameter	Mandatory	Type	Description
dataset_id	Yes	String	Dataset ID.
project_id	Yes	String	Project ID. For details about how to obtain a project ID, see Obtaining a Project ID and Name.
workforce_task_id	Yes	String	ID of a team labeling task.

**Table 2** Query Parameters
Parameter	Mandatory	Type	Description
sample_state	No	String	Statistics on the specified sample state. The options are as follows: __ALL__: labeled __NONE__: not marked __UNCHECK__: to be accepted __ACCEPTED__: The acceptance is passed. __REJECTED__: rejected __UNREVIEWED__: to be reviewed __REVIEWED__: approved __WORKFORCE_SAMPLED__: sampled __WORKFORCE_SAMPLED_UNCHECK__: Sampling is to be accepted. __WORKFORCE_SAMPLED_CHECKED__: Sampling has been accepted. __WORKFORCE_SAMPLED_ACCEPTED__: The sampling is passed. __WORKFORCE_SAMPLED_REJECTED__: The sampling has been rejected. __AUTO_ANNOTATION__: to be confirmed

Request Parameters

None

Response Parameters

Status code: 200

**Table 3** Response body parameters
Parameter	Type	Description
data_path	String	Path for storing data of a dataset.
data_spliting_enable	Boolean	Whether the dataset can be split into training set and validation set based on the sample labeling statistics. Options: true: The dataset can be split into training set and validation set. false: The dataset cannot be split into training set and validation set.
grouped_label_stats	Map<String,Array<LabelStats>>	Label statistics grouped by labeling type.
hard_detail_stats	Map<String,PairOfintAndHardDetail>	Statistics on hard example reasons. The type is Map<Integer, Pair<Integer, HardDetail>>. The key of Map indicates the ID of the hard example reason, the key of Pair indicates the number of times that the hard example reason occurs, and the value of Pair indicates the hard example reason.
key_sample_stats	Map<String,Integer>	Statistics on hard examples.
label_stats	Array of LabelStats objects	List of label statistics.
metadata_stats	Map<String,Object>	Statistics on sample metadata, in JSON format.
sample_stats	Map<String,Integer>	Statistics on sample status.

**Table 4** LabelStats
Parameter	Type	Description
attributes	Array of LabelAttribute objects	Multi-dimensional attribute of a label. For example, if the label is music, attributes such as style and artist may be included.
count	Integer	Number of labels.
name	String	Label name.
property	LabelProperty object	Basic attribute key-value pair of a label, such as color and shortcut keys.
sample_count	Integer	Number of samples containing the label.
type	Integer	Label type. Options: 0: image classification 1: object detection 3: image segmentation 100: text classification 101: named entity recognition 102: text triplet relationship 103: text triplet entity 200: sound classification 201: speech content 202: speech paragraph labeling 600: video labeling

**Table 5** PairOfintAndHardDetail
Parameter	Type	Description
key	Integer	Number of times that a hard example reason occurs.
value	HardDetail object	Reason for a hard example.

**Table 6** HardDetail
Parameter	Type	Description
alo_name	String	Alias.
id	Integer	Reason ID.
reason	String	Reason description.
suggestion	String	Handling suggestion.

**Table 7** LabelAttribute
Parameter	Type	Description
default_value	String	Default value of a label attribute.
id	String	Label attribute ID. You can query the tag by invoking the tag list.
name	String	Label attribute name. The value contains a maximum of 64 characters and cannot contain the character. <>=&"'.
type	String	Label attribute type. Options: text: text select: single-choice drop-down list
values	Array of LabelAttributeValue objects	List of label attribute values.

**Table 8** LabelAttributeValue
Parameter	Type	Description
id	String	Label attribute value ID.
value	String	Label attribute value.

**Table 9** LabelProperty
Parameter	Type	Description
@modelarts:color	String	Default attribute: Label color, which is a hexadecimal code of the color. By default, this parameter is left blank. Example: #FFFFF0.
@modelarts:default_shape	String	Default attribute: Default shape of an object detection label (dedicated attribute). By default, this parameter is left blank. Options: bndbox: rectangle polygon: polygon circle: circle line: straight line dashed: dotted line point: point polyline: polyline
@modelarts:from_type	String	Default attribute: Type of the head entity in the triplet relationship label. This attribute must be specified when a relationship label is created. This parameter is used only for the text triplet dataset.
@modelarts:rename_to	String	Default attribute: The new name of the label.
@modelarts:shortcut	String	Default attribute: Label shortcut key. By default, this parameter is left blank. For example: D.
@modelarts:to_type	String	Default attribute: Type of the tail entity in the triplet relationship label. This attribute must be specified when a relationship label is created. This parameter is used only for the text triplet dataset.

Example Requests

Querying Statistics on Unapproved Samples of a Team Labeling Task

GET https://{endpoint}/v2/{project_id}/datasets/WxCREuCkBSAlQr9xrde/workforce-tasks/tY330MHxV9dqIPVaTRM/data-annotations/stats?sample_state=__unreviewed__

Example Responses

Status code: 200

{
  "label_stats" : [ {
    "name" : "Rabbits",
    "type" : 1,
    "property" : {
      "@modelarts:color" : "#3399ff"
    },
    "count" : 0,
    "sample_count" : 0
  }, {
    "name" : "Bees",
    "type" : 1,
    "property" : {
      "@modelarts:color" : "#3399ff"
    },
    "count" : 1,
    "sample_count" : 1
  } ],
  "sample_stats" : {
    "un_annotation" : 308,
    "total" : 309,
    "rejected" : 0,
    "unreviewed" : 1,
    "accepted" : 0,
    "auto_annotation" : 0,
    "uncheck" : 0
  },
  "key_sample_stats" : {
    "total" : 309,
    "non_key_sample" : 309,
    "key_sample" : 0
  },
  "metadata_stats" : { },
  "data_spliting_enable" : false
}