Querying Details About a Dataset Version

Function

This API is used to query the details about a dataset version.

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}/versions/{version_id}

**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.
version_id	Yes	String	Dataset version ID.

Request Parameters

None

Response Parameters

Status code: 200

**Table 2** Response body parameters
Parameter	Type	Description
add_sample_count	Integer	Number of added samples.
analysis_cache_path	String	Cache path for feature analysis.
analysis_status	Integer	Status of a feature analysis task. Options: 0: initialized 1: running 2: completed 3: failed
analysis_task_id	String	ID of a feature analysis task.
annotated_sample_count	Integer	Number of samples with labeled versions.
annotated_sub_sample_count	Integer	Number of labeled subsamples.
clear_hard_property	Boolean	Whether to clear hard example properties during release. Options: true: Clear hard example properties. (Default value) false: Do not clear hard example properties.
code	String	Status code of a preprocessing task such as rotation and cropping.
create_time	Long	Time when a version is created.
crop	Boolean	Whether to crop the image. This field is valid only for the object detection dataset whose labeling box is in the rectangle shape. Options: true: Crop the image. false: Do not crop the image. (Default value)
crop_path	String	Path for storing cropped files.
crop_rotate_cache_path	String	Temporary directory for executing the rotation and cropping task.
data_analysis	Map<String,Object>	Feature analysis result in JSON format.
data_path	String	Path for storing data.
data_statistics	Map<String,Object>	Sample statistics on a dataset, including the statistics on sample metadata in JSON format.
data_validate	Boolean	Whether data is validated by the validation algorithm before release. Options: true: The data has been validated. false: The data has not been validated.
deleted_sample_count	Integer	Number of deleted samples.
deletion_stats	Map<String,Integer>	Deletion reason statistics.
description	String	Description of a version.
export_images	Boolean	Whether to export images to the version output directory during release. Options: true: Export images to the version output directory. false: Do not export images to the version output directory. (Default value)
extract_serial_number	Boolean	Whether to parse the subsample number during release. The field is valid for the healthcare dataset. Options: true: Parse the subsample number. false: Do not parse the subsample number. (Default value)
include_dataset_data	Boolean	Whether to include the source data of a dataset during release. Options: true: The source data of a dataset is included. false: The source data of a dataset is not included.
is_current	Boolean	Whether the current dataset version is used. Options: true: The current dataset version is used. false: The current dataset version is not used.
label_stats	Array of LabelStats objects	Label statistics list of a released version.
label_type	String	Label type of a released version. Options: multi: Multi-label samples are included. single: All samples are single-labeled.
manifest_cache_input_path	String	Input path for the manifest file cache during version release.
manifest_path	String	Path for storing the manifest file with the released version.
message	String	Task information recorded during release (for example, error information).
modified_sample_count	Integer	Number of modified samples.
previous_annotated_sample_count	Integer	Number of labeled samples of parent versions.
previous_total_sample_count	Integer	Total samples of parent versions.
previous_version_id	String	Parent version ID
processor_task_id	String	ID of a preprocessing task such as rotation and cropping.
processor_task_status	Integer	Status of a preprocessing task such as rotation and cropping. The options are as follows: 0: initialized - 1: running 2: completed 3: failed 4: stopped 5: timeout 6: Deletion failed. 7: Failed to stop.
remove_sample_usage	Boolean	Whether to clear the existing usage information of a dataset during release. Options: true: Clear the existing usage information of a dataset. (Default value) false: Do not clear the existing usage information of a dataset.
rotate	Boolean	Whether to rotate the image. Options: true: Rotate the image. false: Do not rotate the image. (Default value)
rotate_path	String	Path for storing the rotated file.
sample_state	String	Sample status. 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
start_processor_task	Boolean	Whether to start a data analysis task during release. Options: true: Start a data analysis task during release. false: Do not start a data analysis task during release. (Default value)
status	Integer	Status of a dataset version. Options: 0: creating 1: running 2: deleting 3: deleted 4: error
tags	Array of strings	Key identifier list of the dataset. The labeling type is used as the default label when the labeling task releases a version. For example, ["Image","Object detection"].
task_type	Integer	Labeling task type of the released version, which is the same as the dataset type.
total_sample_count	Integer	Total number of version samples.
total_sub_sample_count	Integer	Total number of subsamples generated from the parent samples.
train_evaluate_sample_ratio	String	Split training and verification ratio during version release. The default value is 1.00, indicating that all released versions are training sets.
update_time	Long	Time when a version is updated.
version_format	String	Format of a dataset version. Options: Default: default format CarbonData: CarbonData (supported only by table datasets) CSV: CSV
version_id	String	Dataset version ID.
version_name	String	Dataset version name.
with_column_header	Boolean	Whether the first row in the released CSV file is a column name. This field is valid for the table dataset. Options: true: The first row in the released CSV file is a column name. false: The first row in the released CSV file is not a column name.

**Table 3** 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 4** 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 5** LabelAttributeValue
Parameter	Type	Description
id	String	Label attribute value ID.
value	String	Label attribute value.

**Table 6** 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 Details About a Dataset Version

GET https://{endpoint}/v2/{project_id}/datasets/{dataset_id}/versions/{version_id}

Example Responses

Status code: 200

{
  "version_id" : "eSOKEQaXhKzxN00WKoV",
  "version_name" : "V002",
  "version_format" : "Default",
  "previous_version_id" : "vlGvUqOcxxGPIB0ugeE",
  "status" : 1,
  "create_time" : 1605691027084,
  "total_sample_count" : 10,
  "annotated_sample_count" : 10,
  "total_sub_sample_count" : 0,
  "annotated_sub_sample_count" : 0,
  "manifest_path" : "/test-obs/classify/output/dataset-f9e8-gfghHSokody6AJigS5A/annotation/V002/V002.manifest",
  "data_path" : "/test-obs/classify/output/dataset-f9e8-gfghHSokody6AJigS5A/annotation/V002/data/",
  "is_current" : true,
  "analysis_status" : 3,
  "train_evaluate_sample_ratio" : "0.9999",
  "remove_sample_usage" : false,
  "export_images" : false,
  "description" : "",
  "label_stats" : [ {
    "name" : "Rabbits",
    "type" : 0,
    "property" : {
      "@modelarts:color" : "#3399ff"
    },
    "count" : 5,
    "sample_count" : 5
  }, {
    "name" : "Bees",
    "type" : 0,
    "property" : {
      "@modelarts:color" : "#3399ff"
    },
    "count" : 5,
    "sample_count" : 5
  } ],
  "label_type" : "single",
  "task_type" : 0,
  "extract_serial_number" : false
}