toloka.client.TolokaClient.get_assignments_df | Source code
Downloads assignments as pandas.DataFrame.
Requires toloka-kit[pandas] extras. Install it with the following command:
pip install toloka-kit[pandas]Experimental method. Implements the same behavior as if you download results in web-interface and then read it by pandas.
| Parameters | Type | Description |
|---|---|---|
pool_id | str | From which pool the results are loaded. |
status | Optional[List[GetAssignmentsTsvParameters.Status]] | Statuses of assignments to download. |
start_time_from | Optional[datetime] | Download assignments submitted after the specified date and time. |
start_time_to | Optional[datetime] | Download assignments submitted before the specified date and time. |
exclude_banned | Optional[bool] | Exclude answers from banned Tolokers, even if their assignments have suitable status. |
field | Optional[List[GetAssignmentsTsvParameters.Field]] | Names of |
Returns:
DataFrame with all results. Contains groups of fields with prefixes:
"INPUT" - Fields that were at the input in the task.
"OUTPUT" - Fields that were received as a result of execution.
"GOLDEN" - Fields with correct answers. Filled in only for golden tasks and training tasks.
"HINT" - Hints for completing tasks. Filled in for training tasks.
"ACCEPT" - Fields describing the deferred acceptance of tasks.
"ASSIGNMENT" - fields describing additional information about the Assignment.
Return type:
DataFrame
Examples:
Get all assignments from the specified pool by pool_id to pandas.DataFrame.
And apply the native pandas rename method to change columns' names.
answers_df = toloka_client.get_assignments_df(pool_id='1')answers_df = answers_df.rename(columns={ 'INPUT:image': 'task', 'OUTPUT:result': 'label', 'ASSIGNMENT:worker_id': 'annotator'})Last updated: August 28, 2023