Querying Details About a Dataset

Function

This API is used to query details about a dataset.

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}

**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.

**Table 2** Query Parameters
Parameter	Mandatory	Type	Description
check_running_task	No	Boolean	Whether to detect tasks (including initialization tasks) that are running in a dataset. Options: true: Detect tasks (including initialization tasks) that are running in the dataset. false: Do not detect tasks that are running in the dataset. (Default value)
running_task_type	No	Integer	Type of the running tasks (including initialization tasks) to be detected. The options are as follows: 0: auto labeling 1: pre-labeling 2: export 3: version switch 4: manifest file export 5: manifest file import 6: version publishing 7: auto grouping

Request Parameters

None

Response Parameters

Status code: 200

**Table 3** Response body parameters
Parameter	Type	Description
annotated_sample_count	Integer	Number of labeled samples in a dataset.
annotated_sub_sample_count	Integer	Number of labeled subsamples.
content_labeling	Boolean	Whether to enable content labeling for the speech paragraph labeling dataset. This function is enabled by default.
create_time	Long	Time when a dataset is created.
current_version_id	String	Current version ID of a dataset.
current_version_name	String	Current version name of a dataset. Version name. The value is a string of 1 to 32 characters consisting of letters, digits, underscores (_), and hyphens (-).
data_format	String	Data format.
data_sources	Array of DataSource objects	Data source list.
data_statistics	Map<String,Object>	Sample statistics on a dataset, including the statistics on sample metadata.
data_update_time	Long	Time when a sample and a label are updated.
dataset_format	Integer	Dataset format. Options: 0: file 1: table
dataset_id	String	Dataset ID.
dataset_name	String	Dataset name.
dataset_tags	Array of strings	Key identifier list of a dataset, for example, ["Image","Object detection"].
dataset_type	Integer	Dataset type. Options: 0: image classification 1: object detection 3: image segmentation 100: text classification 101: named entity recognition 102: text triplet 200: sound classification 201: speech content 202: speech paragraph labeling 400: table dataset 600: video labeling 900: custom format
dataset_version_count	Integer	Number of dataset versions.
deleted_sample_count	Integer	Number of deleted samples.
deletion_stats	Map<String,Integer>	Deletion reason statistics.
description	String	Dataset description.
enterprise_project_id	String	Enterprise project ID.
exist_running_task	Boolean	Whether the dataset contains running (including initialization) tasks. Options: true: The dataset contains running tasks. false: The dataset does not contain running tasks.
exist_workforce_task	Boolean	Whether the dataset contains team labeling tasks. Options: true: The dataset contains team labeling tasks. false: The dataset does not contain team labeling tasks.
feature_supports	Array of strings	List of features supported by the dataset. Currently, only the value 0 is supported, indicating that the OBS file size is limited.
import_data	Boolean	Whether to import data. Options: true: Import data. false: Do not import data.
import_task_id	String	ID of an import task.
inner_annotation_path	String	Path for storing the labeling result of a dataset.
inner_data_path	String	Path for storing the internal data of a dataset.
inner_log_path	String	Path for storing internal logs of a dataset.
inner_task_path	String	Path for internal task of a dataset.
inner_temp_path	String	Path for storing internal temporary files of a dataset.
inner_work_path	String	Output directory of a dataset.
label_task_count	Integer	Number of labeling tasks.
labels	Array of Label objects	Dataset label list.
loading_sample_count	Integer	Number of loading samples.
managed	Boolean	Whether a dataset is hosted. Options: true: The dataset is hosted. false: The dataset is not hosted.
next_version_num	Integer	Number of next versions of a dataset.
running_tasks_id	Array of strings	ID list of running (including initialization) tasks.
schema	Array of Field objects	Schema list.
status	Integer	Dataset status. Options: 0: creating dataset 1: normal dataset 2: deleting dataset 3: deleted dataset 4: abnormal dataset 5: synchronizing dataset 6: releasing dataset 7: dataset in version switching 8: importing dataset
third_path	String	Third-party path.
total_sample_count	Integer	Total number of dataset samples.
total_sub_sample_count	Integer	Total number of subsamples generated from the parent samples. For example, the total number of key frame images extracted from the video labeling dataset is that of subsamples.
unconfirmed_sample_count	Integer	Number of auto labeling samples to be confirmed.
update_time	Long	Time when a dataset is updated.
versions	Array of DatasetVersion objects	Dataset version information. Currently, only the current version information of a dataset is recorded.
work_path	String	Output dataset path, which is used to store output files such as label files. The path is an OBS path in the format of /Bucket name/File path. For example: /obs-bucket.
work_path_type	Integer	Type of the dataset output path. The default value is 0, indicating an OBS bucket.
workforce_descriptor	WorkforceDescriptor object	Team labeling information.
workforce_task_count	Integer	Number of team labeling tasks of a dataset.
workspace_id	String	Workspace ID. If no workspace is created, the default value is 0. If a workspace is created and used, use the actual value.

**Table 4** DataSource
Parameter	Type	Description
data_path	String	Data source path.
data_type	Integer	Data type. Options: 0: OBS bucket (default value) 1: GaussDB(DWS) 2: DLI 3: RDS 4: MRS 5: AI Gallery 6: Inference service
schema_maps	Array of SchemaMap objects	Schema mapping information corresponding to the table data.
source_info	SourceInfo object	Information required for importing a table data source.
with_column_header	Boolean	Whether the first row in the file is a column name. This field is valid for the table dataset. Options: true: The first row in the file is the column name. false: The first row in the file is not the column name.

**Table 5** SchemaMap
Parameter	Type	Description
dest_name	String	Name of the destination column.
src_name	String	Name of the source column.

**Table 6** SourceInfo
Parameter	Type	Description
cluster_id	String	MRS cluster ID. You can log in to the MRS console to view the information.
cluster_mode	String	Running mode of an MRS cluster. Options: 0: normal cluster 1: security cluster
cluster_name	String	MRS cluster name You can log in to the MRS console to view the information.
database_name	String	Name of the database to which the table dataset is imported.
input	String	HDFS path of the table data set. For example, /datasets/demo.
ip	String	IP address of your GaussDB(DWS) cluster.
port	String	Port number of your GaussDB(DWS) cluster.
queue_name	String	DLI queue name of a table dataset.
subnet_id	String	Subnet ID of an MRS cluster.
table_name	String	Name of the table to which a table dataset is imported.
user_name	String	Username, which is mandatory for GaussDB(DWS) data.
user_password	String	User password, which is mandatory for GaussDB(DWS) data.
vpc_id	String	ID of the VPC where an MRS cluster resides.

**Table 7** Label
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.
name	String	Label name.
property	LabelProperty object	Basic attribute key-value pair of a label, such as color and shortcut keys.
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 8** Field
Parameter	Type	Description
description	String	Schema description.
name	String	Schema name.
schema_id	Integer	Schema ID.
type	String	Schema value type.

**Table 9** DatasetVersion
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 10** 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 11** 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 12** LabelAttributeValue
Parameter	Type	Description
id	String	Label attribute value ID.
value	String	Label attribute value.

**Table 13** 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.

**Table 14** WorkforceDescriptor
Parameter	Type	Description
current_task_id	String	ID of a team labeling task.
current_task_name	String	Name of a team labeling task.
reject_num	Integer	Number of rejected samples.
repetition	Integer	Number of persons who label each sample. The minimum value is 1.
is_synchronize_auto_labeling_data	Boolean	Whether to synchronously update auto labeling data. Options: true: Update auto labeling data synchronously. false: Do not update auto labeling data synchronously.
is_synchronize_data	Boolean	Whether to synchronize updated data, such as uploading files, synchronizing data sources, and assigning imported unlabeled files to team members. Options: true: Synchronize updated data to team members. false: Do not synchronize updated data to team members.
workers	Array of Worker objects	List of labeling team members.
workforce_id	String	ID of a labeling team.
workforce_name	String	Name of a labeling team.

**Table 15** Worker
Parameter	Type	Description
create_time	Long	Creation time.
description	String	Labeling team member description. The value contains 0 to 256 characters and does not support the following special characters: ^!<>=&"'
email	String	Email address of a labeling team member.
role	Integer	Role. Options: 0: labeling personnel 1: reviewer 2: team administrator 3: dataset owner
status	Integer	Current login status of a labeling team member. Options: 0: The invitation email has not been sent. 1: The invitation email has been sent but the user has not logged in. 2: The user has logged in. 3: The labeling team member has been deleted.
update_time	Long	Update time.
worker_id	String	ID of a labeling team member.
workforce_id	String	ID of a labeling team.

Example Requests

Querying Details About a Dataset

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

Example Responses

Status code: 200

{
  "dataset_id" : "gfghHSokody6AJigS5A",
  "dataset_name" : "dataset-f9e8",
  "dataset_type" : 0,
  "data_format" : "Default",
  "next_version_num" : 4,
  "status" : 1,
  "data_sources" : [ {
    "data_type" : 0,
    "data_path" : "/test-obs/classify/input/animals/"
  } ],
  "create_time" : 1605690595404,
  "update_time" : 1605690595404,
  "description" : "",
  "current_version_id" : "54IXbeJhfttGpL46lbv",
  "current_version_name" : "V003",
  "total_sample_count" : 10,
  "annotated_sample_count" : 10,
  "unconfirmed_sample_count" : 0,
  "work_path" : "/test-obs/classify/output/",
  "inner_work_path" : "/test-obs/classify/output/dataset-f9e8-gfghHSokody6AJigS5A/",
  "inner_annotation_path" : "/test-obs/classify/output/dataset-f9e8-gfghHSokody6AJigS5A/annotation/",
  "inner_data_path" : "/test-obs/classify/output/dataset-f9e8-gfghHSokody6AJigS5A/data/",
  "inner_log_path" : "/test-obs/classify/output/dataset-f9e8-gfghHSokody6AJigS5A/logs/",
  "inner_temp_path" : "/test-obs/classify/output/dataset-f9e8-gfghHSokody6AJigS5A/temp/",
  "inner_task_path" : "/test-obs/classify/output/dataset-f9e8-gfghHSokody6AJigS5A/task/",
  "work_path_type" : 0,
  "workspace_id" : "0",
  "enterprise_project_id" : "0",
  "workforce_task_count" : 0,
  "feature_supports" : [ "0" ],
  "managed" : false,
  "import_data" : false,
  "label_task_count" : 1,
  "dataset_format" : 0,
  "dataset_version_count" : 3,
  "content_labeling" : true,
  "labels" : [ {
    "name" : "Rabbits",
    "type" : 0,
    "property" : {
      "@modelarts:color" : "#3399ff"
    }
  }, {
    "name" : "Bees",
    "type" : 0,
    "property" : {
      "@modelarts:color" : "#3399ff"
    }
  } ]
}