diff --git a/exareme2/algorithms/flower/flower_data_processing.py b/exareme2/algorithms/flower/flower_data_processing.py
index db3463374..4ab92d7ed 100644
--- a/exareme2/algorithms/flower/flower_data_processing.py
+++ b/exareme2/algorithms/flower/flower_data_processing.py
@@ -5,7 +5,6 @@
 from typing import Optional
 
 import pandas as pd
-import pymonetdb
 import requests
 from pydantic import BaseModel
 from sklearn import preprocessing
@@ -28,38 +27,29 @@ class Inputdata(BaseModel):
     x: Optional[List[str]]
 
 
-def fetch_data(data_model, datasets, from_db=False) -> pd.DataFrame:
-    return (
-        _fetch_data_from_db(data_model, datasets)
-        if from_db
-        else _fetch_data_from_csv(data_model, datasets)
-    )
+def fetch_client_data(inputdata) -> pd.DataFrame:
+    dataframes = [
+        pd.read_csv(f"{os.getenv('DATA_PATH')}{csv_path}")
+        for csv_path in os.getenv("CSV_PATHS").split(",")
+    ]
+    df = pd.concat(dataframes, ignore_index=True)
+    df = df[df["dataset"].isin(inputdata.datasets)]
+    return df[inputdata.x + inputdata.y]
 
 
-def _fetch_data_from_db(data_model, datasets) -> pd.DataFrame:
-    query = f'SELECT * FROM "{data_model}"."primary_data"'
-    conn = pymonetdb.connect(
-        hostname=os.getenv("MONETDB_IP"),
-        port=int(os.getenv("MONETDB_PORT")),
-        username=os.getenv("MONETDB_USERNAME"),
-        password=os.getenv("MONETDB_PASSWORD"),
-        database=os.getenv("MONETDB_DB"),
+def fetch_server_data(inputdata) -> pd.DataFrame:
+    data_folder = Path(
+        f"{os.getenv('DATA_PATH')}/{inputdata.data_model.split(':')[0]}_v_0_1"
     )
-    df = pd.read_sql(query, conn)
-    conn.close()
-    df = df[df["dataset"].isin(datasets)]
-    return df
-
-
-def _fetch_data_from_csv(data_model, datasets) -> pd.DataFrame:
-    data_folder = Path(f"{os.getenv('DATA_PATH')}/{data_model.split(':')[0]}_v_0_1")
     print(f"Loading data from folder: {data_folder}")
     dataframes = [
         pd.read_csv(data_folder / f"{dataset}.csv")
-        for dataset in datasets
+        for dataset in inputdata.datasets
         if (data_folder / f"{dataset}.csv").exists()
     ]
-    return pd.concat(dataframes, ignore_index=True)
+    df = pd.concat(dataframes, ignore_index=True)
+    df = df[df["dataset"].isin(inputdata.datasets)]
+    return df[inputdata.x + inputdata.y]
 
 
 def preprocess_data(inputdata, full_data):
diff --git a/exareme2/algorithms/flower/logistic_regression/client.py b/exareme2/algorithms/flower/logistic_regression/client.py
index 72620d9d4..615f02d71 100644
--- a/exareme2/algorithms/flower/logistic_regression/client.py
+++ b/exareme2/algorithms/flower/logistic_regression/client.py
@@ -1,4 +1,5 @@
 import os
+import time
 import warnings
 
 import flwr as fl
@@ -8,7 +9,7 @@
 from utils import set_initial_params
 from utils import set_model_params
 
-from exareme2.algorithms.flower.flower_data_processing import fetch_data
+from exareme2.algorithms.flower.flower_data_processing import fetch_client_data
 from exareme2.algorithms.flower.flower_data_processing import get_input
 from exareme2.algorithms.flower.flower_data_processing import preprocess_data
 
@@ -39,11 +40,23 @@ def evaluate(self, parameters, config):
 if __name__ == "__main__":
     model = LogisticRegression(penalty="l2", max_iter=1, warm_start=True)
     inputdata = get_input()
-    full_data = fetch_data(inputdata.data_model, inputdata.datasets, from_db=True)
+    full_data = fetch_client_data(inputdata)
     X_train, y_train = preprocess_data(inputdata, full_data)
     set_initial_params(model, X_train, full_data, inputdata)
 
     client = LogisticRegressionClient(model, X_train, y_train)
-    fl.client.start_client(
-        server_address=os.environ["SERVER_ADDRESS"], client=client.to_client()
-    )
+    max_retries = 6
+    for attempt in range(max_retries):
+        try:
+            fl.client.start_client(
+                server_address=os.environ["SERVER_ADDRESS"], client=client.to_client()
+            )
+            print("Connection successful on attempt", attempt + 1)
+            break
+        except Exception as e:
+            print(f"Connection attempt {attempt + 1} failed: {e}")
+            if attempt < max_retries - 1:
+                time.sleep(1)
+            else:
+                print("Max retries reached. Exiting.")
+                raise
diff --git a/exareme2/algorithms/flower/logistic_regression/server.py b/exareme2/algorithms/flower/logistic_regression/server.py
index 4e91a5817..67aac3bf6 100644
--- a/exareme2/algorithms/flower/logistic_regression/server.py
+++ b/exareme2/algorithms/flower/logistic_regression/server.py
@@ -6,7 +6,7 @@
 from utils import set_initial_params
 from utils import set_model_params
 
-from exareme2.algorithms.flower.flower_data_processing import fetch_data
+from exareme2.algorithms.flower.flower_data_processing import fetch_server_data
 from exareme2.algorithms.flower.flower_data_processing import get_input
 from exareme2.algorithms.flower.flower_data_processing import post_result
 from exareme2.algorithms.flower.flower_data_processing import preprocess_data
@@ -36,7 +36,7 @@ def evaluate(server_round, parameters, config):
 if __name__ == "__main__":
     model = LogisticRegression()
     inputdata = get_input()
-    full_data = fetch_data(inputdata.data_model, inputdata.datasets)
+    full_data = fetch_server_data(inputdata)
     X_train, y_train = preprocess_data(inputdata, full_data)
     set_initial_params(model, X_train, full_data, inputdata)
     strategy = fl.server.strategy.FedAvg(
diff --git a/exareme2/controller/celery/tasks_handler.py b/exareme2/controller/celery/tasks_handler.py
index e7ae6c104..93de95430 100644
--- a/exareme2/controller/celery/tasks_handler.py
+++ b/exareme2/controller/celery/tasks_handler.py
@@ -298,13 +298,14 @@ def queue_healthcheck_task(
         )
 
     def start_flower_client(
-        self, request_id, algorithm_name, server_address
+        self, request_id, algorithm_name, server_address, csv_paths
     ) -> WorkerTaskResult:
         return self._queue_task(
             task_signature=TASK_SIGNATURES["start_flower_client"],
             request_id=request_id,
             algorithm_name=algorithm_name,
             server_address=server_address,
+            csv_paths=csv_paths,
         )
 
     def start_flower_server(
diff --git a/exareme2/controller/quart/endpoints.py b/exareme2/controller/quart/endpoints.py
index a6a9ffbdf..1bdaba54e 100644
--- a/exareme2/controller/quart/endpoints.py
+++ b/exareme2/controller/quart/endpoints.py
@@ -32,7 +32,14 @@ async def get_datasets() -> dict:
 
 @algorithms.route("/datasets_locations", methods=["GET"])
 async def get_datasets_locations() -> dict:
-    return get_worker_landscape_aggregator().get_datasets_locations().datasets_locations
+    return {
+        data_model: {
+            dataset: info.worker_id for dataset, info in datasets_location.items()
+        }
+        for data_model, datasets_location in get_worker_landscape_aggregator()
+        .get_datasets_locations()
+        .datasets_locations.items()
+    }
 
 
 @algorithms.route("/cdes_metadata", methods=["GET"])
diff --git a/exareme2/controller/services/flower/controller.py b/exareme2/controller/services/flower/controller.py
index fcfe9cb8f..ae957f366 100644
--- a/exareme2/controller/services/flower/controller.py
+++ b/exareme2/controller/services/flower/controller.py
@@ -1,4 +1,5 @@
 import asyncio
+from typing import Dict
 from typing import List
 
 from exareme2.controller import logger as ctrl_logger
@@ -52,10 +53,17 @@ async def exec_algorithm(self, algorithm_name, algorithm_request_dto):
             request_id = algorithm_request_dto.request_id
             context_id = UIDGenerator().get_a_uid()
             logger = ctrl_logger.get_request_logger(request_id)
-            workers_info = self._get_workers_info_by_dataset(
+            csv_paths_per_worker_id: Dict[
+                str, List[str]
+            ] = self.worker_landscape_aggregator.get_csv_paths_per_worker_id(
                 algorithm_request_dto.inputdata.data_model,
                 algorithm_request_dto.inputdata.datasets,
             )
+
+            workers_info = [
+                self.worker_landscape_aggregator.get_worker_info(worker_id)
+                for worker_id in csv_paths_per_worker_id
+            ]
             task_handlers = [
                 self._create_worker_tasks_handler(request_id, worker)
                 for worker in workers_info
@@ -80,14 +88,15 @@ async def exec_algorithm(self, algorithm_name, algorithm_request_dto):
             server_pid = None
             clients_pids = {}
             server_address = f"{server_ip}:{FLOWER_SERVER_PORT}"
-
             try:
                 server_pid = server_task_handler.start_flower_server(
                     algorithm_name, len(task_handlers), str(server_address)
                 )
                 clients_pids = {
                     handler.start_flower_client(
-                        algorithm_name, str(server_address)
+                        algorithm_name,
+                        str(server_address),
+                        csv_paths_per_worker_id[handler.worker_id],
                     ): handler
                     for handler in task_handlers
                 }
@@ -130,12 +139,3 @@ async def _cleanup(
 
     def _get_workers_info_by_dataset(self, data_model, datasets) -> List[WorkerInfo]:
         """Retrieves worker information for those handling the specified datasets."""
-        worker_ids = (
-            self.worker_landscape_aggregator.get_worker_ids_with_any_of_datasets(
-                data_model, datasets
-            )
-        )
-        return [
-            self.worker_landscape_aggregator.get_worker_info(worker_id)
-            for worker_id in worker_ids
-        ]
diff --git a/exareme2/controller/services/flower/tasks_handler.py b/exareme2/controller/services/flower/tasks_handler.py
index ac731dff2..eee1c73f2 100644
--- a/exareme2/controller/services/flower/tasks_handler.py
+++ b/exareme2/controller/services/flower/tasks_handler.py
@@ -29,9 +29,9 @@ def worker_id(self) -> str:
     def worker_data_address(self) -> str:
         return self._db_address
 
-    def start_flower_client(self, algorithm_name, server_address) -> int:
+    def start_flower_client(self, algorithm_name, server_address, csv_paths) -> int:
         return self._worker_tasks_handler.start_flower_client(
-            self._request_id, algorithm_name, server_address
+            self._request_id, algorithm_name, server_address, csv_paths
         ).get(timeout=self._tasks_timeout)
 
     def start_flower_server(
diff --git a/exareme2/controller/services/worker_landscape_aggregator/worker_info_tasks_handler.py b/exareme2/controller/services/worker_landscape_aggregator/worker_info_tasks_handler.py
index 9660b2d9e..1f11324f6 100644
--- a/exareme2/controller/services/worker_landscape_aggregator/worker_info_tasks_handler.py
+++ b/exareme2/controller/services/worker_landscape_aggregator/worker_info_tasks_handler.py
@@ -4,6 +4,8 @@
 from exareme2.controller.celery.tasks_handler import WorkerTasksHandler
 from exareme2.worker_communication import CommonDataElements
 from exareme2.worker_communication import DataModelAttributes
+from exareme2.worker_communication import DatasetInfo
+from exareme2.worker_communication import DatasetsInfoPerDataModel
 from exareme2.worker_communication import WorkerInfo
 
 
@@ -23,10 +25,11 @@ def get_worker_info_task(self) -> WorkerInfo:
         ).get(self._tasks_timeout)
         return WorkerInfo.parse_raw(result)
 
-    def get_worker_datasets_per_data_model_task(self) -> Dict[str, Dict[str, str]]:
-        return self._worker_tasks_handler.queue_worker_datasets_per_data_model_task(
+    def get_worker_datasets_per_data_model_task(self) -> DatasetsInfoPerDataModel:
+        result = self._worker_tasks_handler.queue_worker_datasets_per_data_model_task(
             self._request_id
         ).get(self._tasks_timeout)
+        return DatasetsInfoPerDataModel.parse_raw(result)
 
     def get_data_model_cdes_task(self, data_model: str) -> CommonDataElements:
         result = self._worker_tasks_handler.queue_data_model_cdes_task(
diff --git a/exareme2/controller/services/worker_landscape_aggregator/worker_landscape_aggregator.py b/exareme2/controller/services/worker_landscape_aggregator/worker_landscape_aggregator.py
index da12e24cf..f12b71fc0 100644
--- a/exareme2/controller/services/worker_landscape_aggregator/worker_landscape_aggregator.py
+++ b/exareme2/controller/services/worker_landscape_aggregator/worker_landscape_aggregator.py
@@ -28,6 +28,8 @@
 from exareme2.worker_communication import CommonDataElement
 from exareme2.worker_communication import CommonDataElements
 from exareme2.worker_communication import DataModelAttributes
+from exareme2.worker_communication import DatasetInfo
+from exareme2.worker_communication import DatasetsInfoPerDataModel
 from exareme2.worker_communication import WorkerInfo
 from exareme2.worker_communication import WorkerRole
 
@@ -68,6 +70,11 @@ class DataModelsAttributes(ImmutableBaseModel):
     data_models_attributes: Optional[Dict[str, DataModelAttributes]] = {}
 
 
+class DatasetLocation(ImmutableBaseModel):
+    worker_id: str
+    csv_path: str
+
+
 class DatasetsLocations(ImmutableBaseModel):
     """
     A dictionary representation of the locations of each dataset in the federation.
@@ -75,7 +82,7 @@ class DatasetsLocations(ImmutableBaseModel):
     Values are Dictionaries of datasets and their locations.
     """
 
-    datasets_locations: Optional[Dict[str, Dict[str, str]]] = {}
+    datasets_locations: Optional[Dict[str, Dict[str, DatasetLocation]]] = {}
 
 
 class DataModelRegistry(ImmutableBaseModel):
@@ -122,6 +129,28 @@ def dataset_exists(self, data_model: str, dataset: str) -> bool:
             and dataset in self.datasets_locations.datasets_locations[data_model]
         )
 
+    def get_csv_paths_per_worker_id(
+        self, data_model: str, datasets: List[str]
+    ) -> Dict[str, List[str]]:
+        if not self.data_model_exists(data_model):
+            return {}
+        csv_paths_per_worker_id = {}
+        datasets_info = [
+            dataset_info
+            for dataset, dataset_info in self.datasets_locations.datasets_locations[
+                data_model
+            ].items()
+            if dataset in datasets
+        ]
+        for dataset_info in datasets_info:
+            if dataset_info.worker_id not in csv_paths_per_worker_id:
+                csv_paths_per_worker_id[dataset_info.worker_id] = []
+            csv_paths_per_worker_id[dataset_info.worker_id].append(
+                dataset_info.csv_path
+            )
+
+        return csv_paths_per_worker_id
+
     def get_worker_ids_with_any_of_datasets(
         self, data_model: str, datasets: List[str]
     ) -> List[str]:
@@ -129,7 +158,7 @@ def get_worker_ids_with_any_of_datasets(
             return []
 
         local_workers_with_datasets = [
-            self.datasets_locations.datasets_locations[data_model][dataset]
+            self.datasets_locations.datasets_locations[data_model][dataset].worker_id
             for dataset in self.datasets_locations.datasets_locations[data_model]
             if dataset in datasets
         ]
@@ -161,7 +190,7 @@ def get_worker_specific_datasets(
             for dataset in self.datasets_locations.datasets_locations[data_model]
             if dataset in wanted_datasets
             and worker_id
-            == self.datasets_locations.datasets_locations[data_model][dataset]
+            == self.datasets_locations.datasets_locations[data_model][dataset].worker_id
         ]
         return datasets_in_worker
 
@@ -219,6 +248,16 @@ class DatasetsLabels(ImmutableBaseModel):
     datasets_labels: Dict[str, str]
 
 
+class DatasetsInfo(ImmutableBaseModel):
+    """
+    A dictionary representation of a dataset's information.
+    Key values are the names of the datasets.
+    Values are the info (label and csv_path) of the datasets.
+    """
+
+    datasets_info: Dict[str, DatasetInfo]
+
+
 class DatasetsLabelsPerDataModel(ImmutableBaseModel):
     """
     Key values are the names of the data_models.
@@ -233,7 +272,7 @@ class DataModelMetadata(ImmutableBaseModel):
     A representation of a data model's Metadata datasets info, cdes and attributes for a specific data model
     """
 
-    datasets_labels: DatasetsLabels
+    datasets_info: DatasetsInfo
     cdes: Optional[CommonDataElements]
     attributes: Optional[DataModelAttributes]
 
@@ -382,7 +421,7 @@ def _get_workers_info(self, workers_socket_addr: List[str]) -> List[WorkerInfo]:
     def _get_worker_datasets_per_data_model(
         self,
         worker_queue_addr: str,
-    ) -> Dict[str, Dict[str, str]]:
+    ) -> DatasetsInfoPerDataModel:
         tasks_handler = WorkerInfoTasksHandler(
             worker_queue_addr=worker_queue_addr,
             tasks_timeout=self._worker_info_tasks_timeout,
@@ -507,6 +546,11 @@ def data_model_exists(self, data_model: str) -> bool:
     def dataset_exists(self, data_model: str, dataset: str) -> bool:
         return self._registries.data_model_registry.dataset_exists(data_model, dataset)
 
+    def get_csv_paths_per_worker_id(self, data_model: str, datasets: List[str]):
+        return self._registries.data_model_registry.get_csv_paths_per_worker_id(
+            data_model, datasets
+        )
+
     def get_worker_ids_with_any_of_datasets(
         self, data_model: str, datasets: List[str]
     ) -> List[str]:
@@ -561,7 +605,10 @@ def _get_data_models_metadata_per_worker(
             )
             if datasets_per_data_model:
                 worker_socket_addr = _get_worker_socket_addr(worker_info)
-                for data_model, datasets in datasets_per_data_model.items():
+                for (
+                    data_model,
+                    datasets_info,
+                ) in datasets_per_data_model.datasets_info_per_data_model.items():
                     cdes = self._get_worker_cdes(worker_socket_addr, data_model)
                     attributes = self._get_data_model_attributes(
                         worker_socket_addr, data_model
@@ -569,7 +616,7 @@ def _get_data_models_metadata_per_worker(
                     cdes = cdes if cdes else None
                     attributes = attributes if attributes else None
                     data_models_metadata[data_model] = DataModelMetadata(
-                        datasets_labels=DatasetsLabels(datasets_labels=datasets),
+                        datasets_info=DatasetsInfo(datasets_info=datasets_info),
                         cdes=cdes,
                         attributes=attributes,
                     )
@@ -625,57 +672,94 @@ def _aggregate_datasets_locations_and_labels(
          1. DatasetsLocations
          2. DatasetsLabelsPerDataModel
     """
-    datasets_locations = {}
+    datasets_location_per_data_model = {}
     datasets_labels = {}
+
     for (
         worker_id,
         data_models_metadata,
     ) in data_models_metadata_per_worker.data_models_metadata_per_worker.items():
+        _process_worker_data_models(
+            worker_id,
+            data_models_metadata,
+            datasets_location_per_data_model,
+            datasets_labels,
+        )
+
+    datasets_location_per_data_model_without_duplicates = _remove_duplicates_and_log(
+        datasets_location_per_data_model, datasets_labels, logger
+    )
+
+    return DatasetsLocations(
+        datasets_locations=datasets_location_per_data_model_without_duplicates
+    ), DatasetsLabelsPerDataModel(datasets_labels_per_data_model=datasets_labels)
+
+
+def _process_worker_data_models(
+    worker_id: str,
+    data_models_metadata,
+    datasets_location_per_data_model: Dict[str, Dict[str, List[DatasetLocation]]],
+    datasets_labels: Dict[str, DatasetsLabels],
+):
+    for (
+        data_model,
+        data_model_metadata,
+    ) in data_models_metadata.data_models_metadata.items():
+        current_labels = (
+            datasets_labels[data_model].datasets_labels
+            if data_model in datasets_labels
+            else {}
+        )
+        current_datasets = (
+            datasets_location_per_data_model[data_model]
+            if data_model in datasets_location_per_data_model
+            else {}
+        )
+
         for (
-            data_model,
-            data_model_metadata,
-        ) in data_models_metadata.data_models_metadata.items():
-            current_labels = (
-                datasets_labels[data_model].datasets_labels
-                if data_model in datasets_labels
-                else {}
-            )
-            current_datasets = (
-                datasets_locations[data_model]
-                if data_model in datasets_locations
-                else {}
+            dataset_name,
+            dataset_info,
+        ) in data_model_metadata.datasets_info.datasets_info.items():
+            current_labels[dataset_name] = dataset_info.label
+            dataset_location = DatasetLocation(
+                worker_id=worker_id, csv_path=dataset_info.csv_path
             )
-
-            for (
-                dataset_name,
-                dataset_label,
-            ) in data_model_metadata.datasets_labels.datasets_labels.items():
-                current_labels[dataset_name] = dataset_label
-
-                if dataset_name in current_datasets:
-                    current_datasets[dataset_name].append(worker_id)
-                else:
-                    current_datasets[dataset_name] = [worker_id]
-
-            datasets_labels[data_model] = DatasetsLabels(datasets_labels=current_labels)
-            datasets_locations[data_model] = current_datasets
-
-    datasets_locations_without_duplicates = {}
-    for data_model, dataset_locations in datasets_locations.items():
-        datasets_locations_without_duplicates[data_model] = {}
-
-        for dataset, worker_ids in dataset_locations.items():
-            if len(worker_ids) == 1:
-                datasets_locations_without_duplicates[data_model][dataset] = worker_ids[
-                    0
-                ]
+            if dataset_name in current_datasets:
+                current_datasets[dataset_name].append(dataset_location)
+            else:
+                current_datasets[dataset_name] = [dataset_location]
+
+        datasets_labels[data_model] = DatasetsLabels(datasets_labels=current_labels)
+        datasets_location_per_data_model[data_model] = current_datasets
+
+
+def _remove_duplicates_and_log(
+    datasets_location_per_data_model: Dict[str, Dict[str, List[DatasetLocation]]],
+    datasets_labels: Dict[str, DatasetsLabels],
+    logger,
+) -> Dict[str, Dict[str, DatasetLocation]]:
+    datasets_location_per_data_model_without_duplicates = {}
+    for data_model, dataset_locations in datasets_location_per_data_model.items():
+        datasets_location_per_data_model_without_duplicates[data_model] = {}
+
+        for dataset, datasets_locations in dataset_locations.items():
+            if len(datasets_locations) == 1:
+                datasets_location_per_data_model_without_duplicates[data_model][
+                    dataset
+                ] = datasets_locations[0]
             else:
                 del datasets_labels[data_model].datasets_labels[dataset]
-                _log_duplicated_dataset(worker_ids, data_model, dataset, logger)
+                _log_duplicated_dataset(
+                    [
+                        dataset_location.worker_id
+                        for dataset_location in datasets_locations
+                    ],
+                    data_model,
+                    dataset,
+                    logger,
+                )
 
-    return DatasetsLocations(
-        datasets_locations=datasets_locations_without_duplicates
-    ), DatasetsLabelsPerDataModel(datasets_labels_per_data_model=datasets_labels)
+    return datasets_location_per_data_model_without_duplicates
 
 
 def _aggregate_data_models_cdes(
@@ -873,7 +957,7 @@ def _log_datasets_added(old_datasets_locations, new_datasets_locations, logger):
                 data_model,
                 dataset,
                 logger,
-                new_datasets_locations[data_model][dataset],
+                new_datasets_locations[data_model][dataset].worker_id,
             )
 
 
@@ -887,7 +971,7 @@ def _log_datasets_removed(old_datasets_locations, new_datasets_locations, logger
                 data_model,
                 dataset,
                 logger,
-                old_datasets_locations[data_model][dataset],
+                old_datasets_locations[data_model][dataset].worker_id,
             )
 
 
diff --git a/exareme2/worker/exareme2/views/views_service.py b/exareme2/worker/exareme2/views/views_service.py
index b13ecb88b..0a7e5b16e 100644
--- a/exareme2/worker/exareme2/views/views_service.py
+++ b/exareme2/worker/exareme2/views/views_service.py
@@ -6,9 +6,7 @@
 from exareme2.worker.exareme2.views import views_db
 from exareme2.worker.utils.logger import initialise_logger
 from exareme2.worker.worker_info.worker_info_db import get_data_models
-from exareme2.worker.worker_info.worker_info_db import (
-    get_dataset_code_per_dataset_label,
-)
+from exareme2.worker.worker_info.worker_info_db import get_dataset_per_dataset_info
 from exareme2.worker_communication import DataModelUnavailable
 from exareme2.worker_communication import DatasetUnavailable
 from exareme2.worker_communication import TableInfo
@@ -184,7 +182,7 @@ def _validate_data_model_and_datasets_exist(data_model: str, datasets: List[str]
     if data_model not in get_data_models():
         raise DataModelUnavailable(worker_config.identifier, data_model)
 
-    available_datasets = get_dataset_code_per_dataset_label(data_model)
+    available_datasets = get_dataset_per_dataset_info(data_model)
     for dataset in datasets:
         if dataset not in available_datasets:
             raise DatasetUnavailable(worker_config.identifier, dataset)
diff --git a/exareme2/worker/flower/starter/flower_api.py b/exareme2/worker/flower/starter/flower_api.py
index 0d300eb1e..c5a428074 100644
--- a/exareme2/worker/flower/starter/flower_api.py
+++ b/exareme2/worker/flower/starter/flower_api.py
@@ -4,9 +4,11 @@
 
 
 @shared_task
-def start_flower_client(request_id: str, algorithm_name, server_address) -> int:
+def start_flower_client(
+    request_id: str, algorithm_name, server_address, csv_paths
+) -> int:
     return flower_service.start_flower_client(
-        request_id, algorithm_name, server_address
+        request_id, algorithm_name, server_address, csv_paths
     )
 
 
diff --git a/exareme2/worker/flower/starter/flower_service.py b/exareme2/worker/flower/starter/flower_service.py
index 0e848e12b..2a3ad78c1 100644
--- a/exareme2/worker/flower/starter/flower_service.py
+++ b/exareme2/worker/flower/starter/flower_service.py
@@ -5,18 +5,16 @@
 
 
 @initialise_logger
-def start_flower_client(request_id: str, algorithm_name, server_address) -> int:
+def start_flower_client(
+    request_id: str, algorithm_name, server_address, csv_paths
+) -> int:
     env_vars = {
-        "MONETDB_IP": worker_config.monetdb.ip,
-        "MONETDB_PORT": worker_config.monetdb.port,
-        "MONETDB_USERNAME": worker_config.monetdb.local_username,
-        "MONETDB_PASSWORD": worker_config.monetdb.local_password,
-        "MONETDB_DB": worker_config.monetdb.database,
         "SERVER_ADDRESS": server_address,
         "NUMBER_OF_CLIENTS": worker_config.monetdb.database,
         "CONTROLLER_IP": worker_config.controller.ip,
         "CONTROLLER_PORT": worker_config.controller.port,
         "DATA_PATH": worker_config.data_path,
+        "CSV_PATHS": ",".join(csv_paths),
     }
     process = FlowerProcess(f"{algorithm_name}/client.py", env_vars=env_vars)
     logger = get_logger()
diff --git a/exareme2/worker/worker_info/worker_info_api.py b/exareme2/worker/worker_info/worker_info_api.py
index 50ef98e48..c646e8af8 100644
--- a/exareme2/worker/worker_info/worker_info_api.py
+++ b/exareme2/worker/worker_info/worker_info_api.py
@@ -1,5 +1,3 @@
-from typing import Dict
-
 from celery import shared_task
 
 from exareme2.worker.worker_info import worker_info_service
@@ -11,8 +9,8 @@ def get_worker_info(request_id: str) -> str:
 
 
 @shared_task
-def get_worker_datasets_per_data_model(request_id: str) -> Dict[str, Dict[str, str]]:
-    return worker_info_service.get_worker_datasets_per_data_model(request_id)
+def get_worker_datasets_per_data_model(request_id: str) -> str:
+    return worker_info_service.get_worker_datasets_per_data_model(request_id).json()
 
 
 @shared_task
diff --git a/exareme2/worker/worker_info/worker_info_db.py b/exareme2/worker/worker_info/worker_info_db.py
index 30887ae3f..4ea53188c 100644
--- a/exareme2/worker/worker_info/worker_info_db.py
+++ b/exareme2/worker/worker_info/worker_info_db.py
@@ -8,6 +8,7 @@
 from exareme2.worker_communication import CommonDataElement
 from exareme2.worker_communication import CommonDataElements
 from exareme2.worker_communication import DataModelAttributes
+from exareme2.worker_communication import DatasetInfo
 
 HEALTHCHECK_VALIDATION_STRING = "HEALTHCHECK"
 
@@ -35,7 +36,7 @@ def get_data_models() -> List[str]:
 
 
 @sql_injection_guard(data_model=is_datamodel)
-def get_dataset_code_per_dataset_label(data_model: str) -> Dict[str, str]:
+def get_dataset_per_dataset_info(data_model: str) -> Dict[str, DatasetInfo]:
     """
     Retrieves the enabled key-value pair of code and label, for a specific data_model.
 
@@ -48,7 +49,7 @@ def get_dataset_code_per_dataset_label(data_model: str) -> Dict[str, str]:
 
     datasets_rows = db_execute_and_fetchall(
         f"""
-        SELECT code, label
+        SELECT code, label, csv_path
         FROM "mipdb_metadata"."datasets"
         WHERE data_model_id =
         (
@@ -60,7 +61,10 @@ def get_dataset_code_per_dataset_label(data_model: str) -> Dict[str, str]:
         AND status = 'ENABLED'
         """
     )
-    datasets = {code: label for code, label in datasets_rows}
+    datasets = {
+        code: DatasetInfo(label=label, csv_path=csv_path)
+        for code, label, csv_path in datasets_rows
+    }
     return datasets
 
 
diff --git a/exareme2/worker/worker_info/worker_info_service.py b/exareme2/worker/worker_info/worker_info_service.py
index 6dd03a11c..9fd37a775 100644
--- a/exareme2/worker/worker_info/worker_info_service.py
+++ b/exareme2/worker/worker_info/worker_info_service.py
@@ -5,11 +5,11 @@
 from exareme2.worker.worker_info import worker_info_db
 from exareme2.worker.worker_info.worker_info_db import check_database_connection
 from exareme2.worker.worker_info.worker_info_db import get_data_models
-from exareme2.worker.worker_info.worker_info_db import (
-    get_dataset_code_per_dataset_label,
-)
+from exareme2.worker.worker_info.worker_info_db import get_dataset_per_dataset_info
 from exareme2.worker_communication import CommonDataElements
 from exareme2.worker_communication import DataModelAttributes
+from exareme2.worker_communication import DatasetInfo
+from exareme2.worker_communication import DatasetsInfoPerDataModel
 from exareme2.worker_communication import WorkerInfo
 
 
@@ -33,7 +33,7 @@ def get_worker_info(request_id: str) -> WorkerInfo:
 
 
 @initialise_logger
-def get_worker_datasets_per_data_model(request_id: str) -> Dict[str, Dict[str, str]]:
+def get_worker_datasets_per_data_model(request_id: str) -> DatasetsInfoPerDataModel:
     """
     Parameters
     ----------
@@ -41,13 +41,15 @@ def get_worker_datasets_per_data_model(request_id: str) -> Dict[str, Dict[str, s
         The identifier for the logging
     Returns
     ------
-    Dict[str, Dict[str, str]]
-        A dictionary with key data model and value a list of pairs (dataset code and dataset label)
+    DatasetsInfoPerDataModel
+        A dictionary with key data model and value  a dictionary with keys dataset and value each corresponding Info (label, csv_path)
     """
-    return {
-        data_model: get_dataset_code_per_dataset_label(data_model)
-        for data_model in get_data_models()
-    }
+    return DatasetsInfoPerDataModel(
+        datasets_info_per_data_model={
+            data_model: get_dataset_per_dataset_info(data_model)
+            for data_model in get_data_models()
+        }
+    )
 
 
 @initialise_logger
diff --git a/exareme2/worker_communication.py b/exareme2/worker_communication.py
index 652c01bb7..b6dc0ee40 100644
--- a/exareme2/worker_communication.py
+++ b/exareme2/worker_communication.py
@@ -258,6 +258,15 @@ class DataModelAttributes(ImmutableBaseModel):
     properties: Dict
 
 
+class DatasetInfo(ImmutableBaseModel):
+    label: str
+    csv_path: str
+
+
+class DatasetsInfoPerDataModel(ImmutableBaseModel):
+    datasets_info_per_data_model: Dict[str, Dict[str, DatasetInfo]]
+
+
 class CommonDataElement(ImmutableBaseModel):
     code: str
     label: str
diff --git a/mipdb/Dockerfile b/mipdb/Dockerfile
index 86cfdbc99..69cdcf190 100644
--- a/mipdb/Dockerfile
+++ b/mipdb/Dockerfile
@@ -29,7 +29,7 @@ WORKDIR $DATA_PATH
 #######################################################
 # Installing dependencies
 #######################################################
-RUN pip install mipdb==2.4.7 # Must be updated together with pyproject.toml
+RUN pip install mipdb==2.4.9 # Must be updated together with pyproject.toml
 RUN pip install click==8.1.2
 RUN pip install pymonetdb==1.6.3 # Must be updated together with pyproject.toml
 
@@ -60,4 +60,4 @@ VOLUME $CREDENTIALS_CONFIG_FOLDER
 COPY mipdb/bootstrap.sh /home/bootstrap.sh
 RUN chmod 775 /home/bootstrap.sh
 
-CMD ["sh", "-c", "/home/bootstrap.sh"]
\ No newline at end of file
+CMD ["sh", "-c", "/home/bootstrap.sh"]
diff --git a/poetry.lock b/poetry.lock
index c934a312b..d078173d2 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -13,27 +13,27 @@ files = [
 
 [[package]]
 name = "amqp"
-version = "5.1.1"
+version = "5.2.0"
 description = "Low-level AMQP client for Python (fork of amqplib)."
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "amqp-5.1.1-py3-none-any.whl", hash = "sha256:6f0956d2c23d8fa6e7691934d8c3930eadb44972cbbd1a7ae3a520f735d43359"},
-    {file = "amqp-5.1.1.tar.gz", hash = "sha256:2c1b13fecc0893e946c65cbd5f36427861cffa4ea2201d8f6fca22e2a373b5e2"},
+    {file = "amqp-5.2.0-py3-none-any.whl", hash = "sha256:827cb12fb0baa892aad844fd95258143bce4027fdac4fccddbc43330fd281637"},
+    {file = "amqp-5.2.0.tar.gz", hash = "sha256:a1ecff425ad063ad42a486c902807d1482311481c8ad95a72694b2975e75f7fd"},
 ]
 
 [package.dependencies]
-vine = ">=5.0.0"
+vine = ">=5.0.0,<6.0.0"
 
 [[package]]
 name = "appnope"
-version = "0.1.3"
+version = "0.1.4"
 description = "Disable App Nap on macOS >= 10.9"
 optional = false
-python-versions = "*"
+python-versions = ">=3.6"
 files = [
-    {file = "appnope-0.1.3-py2.py3-none-any.whl", hash = "sha256:265a455292d0bd8a72453494fa24df5a11eb18373a60c7c0430889f22548605e"},
-    {file = "appnope-0.1.3.tar.gz", hash = "sha256:02bd91c4de869fbb1e1c50aafc4098827a7a54ab2f39d9dcba6c9547ed920e24"},
+    {file = "appnope-0.1.4-py2.py3-none-any.whl", hash = "sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c"},
+    {file = "appnope-0.1.4.tar.gz", hash = "sha256:1de3860566df9caf38f01f86f65e0e13e379af54f9e4bee1e66b48f2efffd1ee"},
 ]
 
 [[package]]
@@ -82,38 +82,40 @@ wrapt = {version = ">=1.11,<2", markers = "python_version < \"3.11\""}
 
 [[package]]
 name = "asttokens"
-version = "2.4.0"
+version = "2.4.1"
 description = "Annotate AST trees with source code positions"
 optional = false
 python-versions = "*"
 files = [
-    {file = "asttokens-2.4.0-py2.py3-none-any.whl", hash = "sha256:cf8fc9e61a86461aa9fb161a14a0841a03c405fa829ac6b202670b3495d2ce69"},
-    {file = "asttokens-2.4.0.tar.gz", hash = "sha256:2e0171b991b2c959acc6c49318049236844a5da1d65ba2672c4880c1c894834e"},
+    {file = "asttokens-2.4.1-py2.py3-none-any.whl", hash = "sha256:051ed49c3dcae8913ea7cd08e46a606dba30b79993209636c4875bc1d637bc24"},
+    {file = "asttokens-2.4.1.tar.gz", hash = "sha256:b03869718ba9a6eb027e134bfdf69f38a236d681c83c160d510768af11254ba0"},
 ]
 
 [package.dependencies]
 six = ">=1.12.0"
 
 [package.extras]
-test = ["astroid", "pytest"]
+astroid = ["astroid (>=1,<2)", "astroid (>=2,<4)"]
+test = ["astroid (>=1,<2)", "astroid (>=2,<4)", "pytest"]
 
 [[package]]
 name = "attrs"
-version = "23.1.0"
+version = "23.2.0"
 description = "Classes Without Boilerplate"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "attrs-23.1.0-py3-none-any.whl", hash = "sha256:1f28b4522cdc2fb4256ac1a020c78acf9cba2c6b461ccd2c126f3aa8e8335d04"},
-    {file = "attrs-23.1.0.tar.gz", hash = "sha256:6279836d581513a26f1bf235f9acd333bc9115683f14f7e8fae46c98fc50e015"},
+    {file = "attrs-23.2.0-py3-none-any.whl", hash = "sha256:99b87a485a5820b23b879f04c2305b44b951b502fd64be915879d77a7e8fc6f1"},
+    {file = "attrs-23.2.0.tar.gz", hash = "sha256:935dc3b529c262f6cf76e50877d35a4bd3c1de194fd41f47a2b7ae8f19971f30"},
 ]
 
 [package.extras]
 cov = ["attrs[tests]", "coverage[toml] (>=5.3)"]
-dev = ["attrs[docs,tests]", "pre-commit"]
+dev = ["attrs[tests]", "pre-commit"]
 docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
 tests = ["attrs[tests-no-zope]", "zope-interface"]
-tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+tests-mypy = ["mypy (>=1.6)", "pytest-mypy-plugins"]
+tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"]
 
 [[package]]
 name = "backcall"
@@ -159,13 +161,13 @@ tzdata = ["tzdata"]
 
 [[package]]
 name = "billiard"
-version = "4.1.0"
+version = "4.2.0"
 description = "Python multiprocessing fork with improvements and bugfixes"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "billiard-4.1.0-py3-none-any.whl", hash = "sha256:0f50d6be051c6b2b75bfbc8bfd85af195c5739c281d3f5b86a5640c65563614a"},
-    {file = "billiard-4.1.0.tar.gz", hash = "sha256:1ad2eeae8e28053d729ba3373d34d9d6e210f6e4d8bf0a9c64f92bd053f1edf5"},
+    {file = "billiard-4.2.0-py3-none-any.whl", hash = "sha256:07aa978b308f334ff8282bd4a746e681b3513db5c9a514cbdd810cbbdc19714d"},
+    {file = "billiard-4.2.0.tar.gz", hash = "sha256:9a3c3184cb275aa17a732f93f65b20c525d3d9f253722d26a82194803ade5a2c"},
 ]
 
 [[package]]
@@ -227,30 +229,30 @@ files = [
 
 [[package]]
 name = "celery"
-version = "5.3.4"
+version = "5.3.6"
 description = "Distributed Task Queue."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "celery-5.3.4-py3-none-any.whl", hash = "sha256:1e6ed40af72695464ce98ca2c201ad0ef8fd192246f6c9eac8bba343b980ad34"},
-    {file = "celery-5.3.4.tar.gz", hash = "sha256:9023df6a8962da79eb30c0c84d5f4863d9793a466354cc931d7f72423996de28"},
+    {file = "celery-5.3.6-py3-none-any.whl", hash = "sha256:9da4ea0118d232ce97dff5ed4974587fb1c0ff5c10042eb15278487cdd27d1af"},
+    {file = "celery-5.3.6.tar.gz", hash = "sha256:870cc71d737c0200c397290d730344cc991d13a057534353d124c9380267aab9"},
 ]
 
 [package.dependencies]
 "backports.zoneinfo" = {version = ">=0.2.1", markers = "python_version < \"3.9\""}
-billiard = ">=4.1.0,<5.0"
+billiard = ">=4.2.0,<5.0"
 click = ">=8.1.2,<9.0"
 click-didyoumean = ">=0.3.0"
 click-plugins = ">=1.1.1"
 click-repl = ">=0.2.0"
-kombu = ">=5.3.2,<6.0"
+kombu = ">=5.3.4,<6.0"
 python-dateutil = ">=2.8.2"
 tzdata = ">=2022.7"
-vine = ">=5.0.0,<6.0"
+vine = ">=5.1.0,<6.0"
 
 [package.extras]
 arangodb = ["pyArango (>=2.0.2)"]
-auth = ["cryptography (==41.0.3)"]
+auth = ["cryptography (==41.0.5)"]
 azureblockblob = ["azure-storage-blob (>=12.15.0)"]
 brotli = ["brotli (>=1.0.0)", "brotlipy (>=0.7.0)"]
 cassandra = ["cassandra-driver (>=3.25.0,<4)"]
@@ -260,36 +262,36 @@ couchbase = ["couchbase (>=3.0.0)"]
 couchdb = ["pycouchdb (==1.14.2)"]
 django = ["Django (>=2.2.28)"]
 dynamodb = ["boto3 (>=1.26.143)"]
-elasticsearch = ["elasticsearch (<8.0)"]
+elasticsearch = ["elastic-transport (<=8.10.0)", "elasticsearch (<=8.11.0)"]
 eventlet = ["eventlet (>=0.32.0)"]
 gevent = ["gevent (>=1.5.0)"]
 librabbitmq = ["librabbitmq (>=2.0.0)"]
 memcache = ["pylibmc (==1.6.3)"]
 mongodb = ["pymongo[srv] (>=4.0.2)"]
-msgpack = ["msgpack (==1.0.5)"]
+msgpack = ["msgpack (==1.0.7)"]
 pymemcache = ["python-memcached (==1.59)"]
 pyro = ["pyro4 (==4.82)"]
 pytest = ["pytest-celery (==0.0.0)"]
-redis = ["redis (>=4.5.2,!=4.5.5,<5.0.0)"]
+redis = ["redis (>=4.5.2,!=4.5.5,<6.0.0)"]
 s3 = ["boto3 (>=1.26.143)"]
 slmq = ["softlayer-messaging (>=1.0.3)"]
-solar = ["ephem (==4.1.4)"]
+solar = ["ephem (==4.1.5)"]
 sqlalchemy = ["sqlalchemy (>=1.4.48,<2.1)"]
 sqs = ["boto3 (>=1.26.143)", "kombu[sqs] (>=5.3.0)", "pycurl (>=7.43.0.5)", "urllib3 (>=1.26.16)"]
 tblib = ["tblib (>=1.3.0)", "tblib (>=1.5.0)"]
 yaml = ["PyYAML (>=3.10)"]
 zookeeper = ["kazoo (>=1.3.1)"]
-zstd = ["zstandard (==0.21.0)"]
+zstd = ["zstandard (==0.22.0)"]
 
 [[package]]
 name = "certifi"
-version = "2023.7.22"
+version = "2024.6.2"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "certifi-2023.7.22-py3-none-any.whl", hash = "sha256:92d6037539857d8206b8f6ae472e8b77db8058fec5937a1ef3f54304089edbb9"},
-    {file = "certifi-2023.7.22.tar.gz", hash = "sha256:539cc1d13202e33ca466e88b2807e29f4c13049d6d87031a3c110744495cb082"},
+    {file = "certifi-2024.6.2-py3-none-any.whl", hash = "sha256:ddc6c8ce995e6987e7faf5e3f1b02b302836a0e5d98ece18392cb1a36c72ad56"},
+    {file = "certifi-2024.6.2.tar.gz", hash = "sha256:3cd43f1c6fa7dedc5899d69d3ad0398fd018ad1a17fba83ddaf78aa46c747516"},
 ]
 
 [[package]]
@@ -369,86 +371,101 @@ files = [
 
 [[package]]
 name = "charset-normalizer"
-version = "3.2.0"
+version = "3.3.2"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
 python-versions = ">=3.7.0"
 files = [
-    {file = "charset-normalizer-3.2.0.tar.gz", hash = "sha256:3bb3d25a8e6c0aedd251753a79ae98a093c7e7b471faa3aa9a93a81431987ace"},
-    {file = "charset_normalizer-3.2.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:0b87549028f680ca955556e3bd57013ab47474c3124dc069faa0b6545b6c9710"},
-    {file = "charset_normalizer-3.2.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:7c70087bfee18a42b4040bb9ec1ca15a08242cf5867c58726530bdf3945672ed"},
-    {file = "charset_normalizer-3.2.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:a103b3a7069b62f5d4890ae1b8f0597618f628b286b03d4bc9195230b154bfa9"},
-    {file = "charset_normalizer-3.2.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:94aea8eff76ee6d1cdacb07dd2123a68283cb5569e0250feab1240058f53b623"},
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 [[package]]
@@ -467,13 +484,13 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
 [[package]]
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-version = "0.3.0"
+version = "0.3.1"
 description = "Enables git-like *did-you-mean* feature in click"
 optional = false
-python-versions = ">=3.6.2,<4.0.0"
+python-versions = ">=3.6.2"
 files = [
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 ]
 
 [package.dependencies]
@@ -691,13 +708,13 @@ profile = ["gprof2dot (>=2022.7.29)"]
 
 [[package]]
 name = "distlib"
-version = "0.3.7"
+version = "0.3.8"
 description = "Distribution utilities"
 optional = false
 python-versions = "*"
 files = [
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 ]
 
 [[package]]
@@ -773,13 +790,13 @@ six = ">=1.10.0"
 
 [[package]]
 name = "exceptiongroup"
-version = "1.1.3"
+version = "1.2.1"
 description = "Backport of PEP 654 (exception groups)"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.extras]
@@ -787,13 +804,13 @@ test = ["pytest (>=6)"]
 
 [[package]]
 name = "execnet"
-version = "2.0.2"
+version = "2.1.1"
 description = "execnet: rapid multi-Python deployment"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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-    {file = "execnet-2.0.2.tar.gz", hash = "sha256:cc59bc4423742fd71ad227122eb0dd44db51efb3dc4095b45ac9a08c770096af"},
+    {file = "execnet-2.1.1-py3-none-any.whl", hash = "sha256:26dee51f1b80cebd6d0ca8e74dd8745419761d3bef34163928cbebbdc4749fdc"},
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 ]
 
 [package.extras]
@@ -801,17 +818,17 @@ testing = ["hatch", "pre-commit", "pytest", "tox"]
 
 [[package]]
 name = "executing"
-version = "1.2.0"
+version = "2.0.1"
 description = "Get the currently executing AST node of a frame, and other information"
 optional = false
-python-versions = "*"
+python-versions = ">=3.5"
 files = [
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 name = "flwr"
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+protobuf = ["grpcio-tools (>=1.64.1)"]
 
 [[package]]
 name = "h11"
@@ -1130,13 +1133,13 @@ zoneinfo = ["backports.zoneinfo (>=0.2.1)", "tzdata (>=2023.3)"]
 
 [[package]]
 name = "identify"
-version = "2.5.29"
+version = "2.5.36"
 description = "File identification library for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
@@ -1144,33 +1147,33 @@ license = ["ukkonen"]
 
 [[package]]
 name = "idna"
-version = "3.4"
+version = "3.7"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.5"
 files = [
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 ]
 
 [[package]]
 name = "importlib-metadata"
-version = "6.8.0"
+version = "7.1.0"
 description = "Read metadata from Python packages"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
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 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
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 perf = ["ipython"]
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 [[package]]
 name = "iniconfig"
@@ -1196,13 +1199,13 @@ files = [
 
 [[package]]
 name = "ipython"
-version = "8.12.2"
+version = "8.12.3"
 description = "IPython: Productive Interactive Computing"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -1263,24 +1266,24 @@ files = [
 
 [[package]]
 name = "itsdangerous"
-version = "2.1.2"
+version = "2.2.0"
 description = "Safely pass data to untrusted environments and back."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
 name = "jedi"
-version = "0.19.0"
+version = "0.19.1"
 description = "An autocompletion tool for Python that can be used for text editors."
 optional = false
 python-versions = ">=3.6"
 files = [
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 ]
 
 [package.dependencies]
@@ -1289,17 +1292,17 @@ parso = ">=0.8.3,<0.9.0"
 [package.extras]
 docs = ["Jinja2 (==2.11.3)", "MarkupSafe (==1.1.1)", "Pygments (==2.8.1)", "alabaster (==0.7.12)", "babel (==2.9.1)", "chardet (==4.0.0)", "commonmark (==0.8.1)", "docutils (==0.17.1)", "future (==0.18.2)", "idna (==2.10)", "imagesize (==1.2.0)", "mock (==1.0.1)", "packaging (==20.9)", "pyparsing (==2.4.7)", "pytz (==2021.1)", "readthedocs-sphinx-ext (==2.1.4)", "recommonmark (==0.5.0)", "requests (==2.25.1)", "six (==1.15.0)", "snowballstemmer (==2.1.0)", "sphinx (==1.8.5)", "sphinx-rtd-theme (==0.4.3)", "sphinxcontrib-serializinghtml (==1.1.4)", "sphinxcontrib-websupport (==1.2.4)", "urllib3 (==1.26.4)"]
 qa = ["flake8 (==5.0.4)", "mypy (==0.971)", "types-setuptools (==67.2.0.1)"]
-testing = ["Django (<3.1)", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]
+testing = ["Django", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]
 
 [[package]]
 name = "jinja2"
-version = "3.1.2"
+version = "3.1.4"
 description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -1310,24 +1313,24 @@ i18n = ["Babel (>=2.7)"]
 
 [[package]]
 name = "joblib"
-version = "1.3.2"
+version = "1.4.2"
 description = "Lightweight pipelining with Python functions"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
 name = "kombu"
-version = "5.3.2"
+version = "5.3.7"
 description = "Messaging library for Python."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -1339,14 +1342,14 @@ vine = "*"
 [package.extras]
 azureservicebus = ["azure-servicebus (>=7.10.0)"]
 azurestoragequeues = ["azure-identity (>=1.12.0)", "azure-storage-queue (>=12.6.0)"]
-confluentkafka = ["confluent-kafka (==2.1.1)"]
+confluentkafka = ["confluent-kafka (>=2.2.0)"]
 consul = ["python-consul2"]
 librabbitmq = ["librabbitmq (>=2.0.0)"]
 mongodb = ["pymongo (>=4.1.1)"]
 msgpack = ["msgpack"]
 pyro = ["pyro4"]
 qpid = ["qpid-python (>=0.26)", "qpid-tools (>=0.26)"]
-redis = ["redis (>=4.5.2)"]
+redis = ["redis (>=4.5.2,!=4.5.5,!=5.0.2)"]
 slmq = ["softlayer-messaging (>=1.0.3)"]
 sqlalchemy = ["sqlalchemy (>=1.4.48,<2.1)"]
 sqs = ["boto3 (>=1.26.143)", "pycurl (>=7.43.0.5)", "urllib3 (>=1.26.16)"]
@@ -1355,127 +1358,128 @@ zookeeper = ["kazoo (>=2.8.0)"]
 
 [[package]]
 name = "lazy-object-proxy"
-version = "1.9.0"
+version = "1.10.0"
 description = "A fast and thorough lazy object proxy."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
 name = "markupsafe"
-version = "2.1.3"
+version = "2.1.5"
 description = "Safely add untrusted strings to HTML/XML markup."
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [[package]]
 name = "matplotlib-inline"
-version = "0.1.6"
+version = "0.1.7"
 description = "Inline Matplotlib backend for Jupyter"
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.8"
 files = [
-    {file = "matplotlib-inline-0.1.6.tar.gz", hash = "sha256:f887e5f10ba98e8d2b150ddcf4702c1e5f8b3a20005eb0f74bfdbd360ee6f304"},
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 ]
 
 [package.dependencies]
@@ -1494,13 +1498,13 @@ files = [
 
 [[package]]
 name = "mipdb"
-version = "2.4.7"
+version = "2.4.9"
 description = ""
 optional = false
-python-versions = ">=3.8,<3.9"
+python-versions = "<3.9,>=3.8"
 files = [
-    {file = "mipdb-2.4.7-py3-none-any.whl", hash = "sha256:ed725e2411dfbdd571a17692dd9ae8dc03ececf1df4b6d0d49d846e113e0477a"},
-    {file = "mipdb-2.4.7.tar.gz", hash = "sha256:11ea083bb3448c50b8603aca17e19527e89a6cd3126e2b94f0d8c65f30cbf978"},
+    {file = "mipdb-2.4.9-py3-none-any.whl", hash = "sha256:5af9c6db234499cefd02735a9f9b69e7b96b5223947997c2fadf8afd09aac8fd"},
+    {file = "mipdb-2.4.9.tar.gz", hash = "sha256:e33e55b2722f66a06fc326d9b7a4db86856c1334c11ef3a8e116d0c913ca01e5"},
 ]
 
 [package.dependencies]
@@ -1525,18 +1529,15 @@ files = [
 
 [[package]]
 name = "nodeenv"
-version = "1.8.0"
+version = "1.9.1"
 description = "Node.js virtual environment builder"
 optional = false
-python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*"
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
 files = [
-    {file = "nodeenv-1.8.0-py2.py3-none-any.whl", hash = "sha256:df865724bb3c3adc86b3876fa209771517b0cfe596beff01a92700e0e8be4cec"},
-    {file = "nodeenv-1.8.0.tar.gz", hash = "sha256:d51e0c37e64fbf47d017feac3145cdbb58836d7eee8c6f6d3b6880c5456227d2"},
+    {file = "nodeenv-1.9.1-py2.py3-none-any.whl", hash = "sha256:ba11c9782d29c27c70ffbdda2d7415098754709be8a7056d79a737cd901155c9"},
+    {file = "nodeenv-1.9.1.tar.gz", hash = "sha256:6ec12890a2dab7946721edbfbcd91f3319c6ccc9aec47be7c7e6b7011ee6645f"},
 ]
 
-[package.dependencies]
-setuptools = "*"
-
 [[package]]
 name = "numpy"
 version = "1.24.1"
@@ -1576,13 +1577,13 @@ files = [
 
 [[package]]
 name = "packaging"
-version = "23.1"
+version = "24.1"
 description = "Core utilities for Python packages"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "packaging-23.1-py3-none-any.whl", hash = "sha256:994793af429502c4ea2ebf6bf664629d07c1a9fe974af92966e4b8d2df7edc61"},
-    {file = "packaging-23.1.tar.gz", hash = "sha256:a392980d2b6cffa644431898be54b0045151319d1e7ec34f0cfed48767dd334f"},
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+    {file = "packaging-24.1.tar.gz", hash = "sha256:026ed72c8ed3fcce5bf8950572258698927fd1dbda10a5e981cdf0ac37f4f002"},
 ]
 
 [[package]]
@@ -1664,39 +1665,39 @@ strategies = ["hypothesis (>=5.41.1)"]
 
 [[package]]
 name = "parso"
-version = "0.8.3"
+version = "0.8.4"
 description = "A Python Parser"
 optional = false
 python-versions = ">=3.6"
 files = [
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+    {file = "parso-0.8.4-py2.py3-none-any.whl", hash = "sha256:a418670a20291dacd2dddc80c377c5c3791378ee1e8d12bffc35420643d43f18"},
+    {file = "parso-0.8.4.tar.gz", hash = "sha256:eb3a7b58240fb99099a345571deecc0f9540ea5f4dd2fe14c2a99d6b281ab92d"},
 ]
 
 [package.extras]
-qa = ["flake8 (==3.8.3)", "mypy (==0.782)"]
-testing = ["docopt", "pytest (<6.0.0)"]
+qa = ["flake8 (==5.0.4)", "mypy (==0.971)", "types-setuptools (==67.2.0.1)"]
+testing = ["docopt", "pytest"]
 
 [[package]]
 name = "pathspec"
-version = "0.11.2"
+version = "0.12.1"
 description = "Utility library for gitignore style pattern matching of file paths."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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+    {file = "pathspec-0.12.1.tar.gz", hash = "sha256:a482d51503a1ab33b1c67a6c3813a26953dbdc71c31dacaef9a838c4e29f5712"},
 ]
 
 [[package]]
 name = "patsy"
-version = "0.5.3"
+version = "0.5.6"
 description = "A Python package for describing statistical models and for building design matrices."
 optional = false
 python-versions = "*"
 files = [
-    {file = "patsy-0.5.3-py2.py3-none-any.whl", hash = "sha256:7eb5349754ed6aa982af81f636479b1b8db9d5b1a6e957a6016ec0534b5c86b7"},
-    {file = "patsy-0.5.3.tar.gz", hash = "sha256:bdc18001875e319bc91c812c1eb6a10be4bb13cb81eb763f466179dca3b67277"},
+    {file = "patsy-0.5.6-py2.py3-none-any.whl", hash = "sha256:19056886fd8fa71863fa32f0eb090267f21fb74be00f19f5c70b2e9d76c883c6"},
+    {file = "patsy-0.5.6.tar.gz", hash = "sha256:95c6d47a7222535f84bff7f63d7303f2e297747a598db89cf5c67f0c0c7d2cdb"},
 ]
 
 [package.dependencies]
@@ -1728,13 +1729,13 @@ testing = ["funcsigs", "pytest"]
 
 [[package]]
 name = "pexpect"
-version = "4.8.0"
+version = "4.9.0"
 description = "Pexpect allows easy control of interactive console applications."
 optional = false
 python-versions = "*"
 files = [
-    {file = "pexpect-4.8.0-py2.py3-none-any.whl", hash = "sha256:0b48a55dcb3c05f3329815901ea4fc1537514d6ba867a152b581d69ae3710937"},
-    {file = "pexpect-4.8.0.tar.gz", hash = "sha256:fc65a43959d153d0114afe13997d439c22823a27cefceb5ff35c2178c6784c0c"},
+    {file = "pexpect-4.9.0-py2.py3-none-any.whl", hash = "sha256:7236d1e080e4936be2dc3e326cec0af72acf9212a7e1d060210e70a47e253523"},
+    {file = "pexpect-4.9.0.tar.gz", hash = "sha256:ee7d41123f3c9911050ea2c2dac107568dc43b2d3b0c7557a33212c398ead30f"},
 ]
 
 [package.dependencies]
@@ -1753,28 +1754,29 @@ files = [
 
 [[package]]
 name = "platformdirs"
-version = "3.10.0"
-description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
+version = "4.2.2"
+description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "platformdirs-3.10.0-py3-none-any.whl", hash = "sha256:d7c24979f292f916dc9cbf8648319032f551ea8c49a4c9bf2fb556a02070ec1d"},
-    {file = "platformdirs-3.10.0.tar.gz", hash = "sha256:b45696dab2d7cc691a3226759c0d3b00c47c8b6e293d96f6436f733303f77f6d"},
+    {file = "platformdirs-4.2.2-py3-none-any.whl", hash = "sha256:2d7a1657e36a80ea911db832a8a6ece5ee53d8de21edd5cc5879af6530b1bfee"},
+    {file = "platformdirs-4.2.2.tar.gz", hash = "sha256:38b7b51f512eed9e84a22788b4bce1de17c0adb134d6becb09836e37d8654cd3"},
 ]
 
 [package.extras]
-docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.1)", "sphinx-autodoc-typehints (>=1.24)"]
-test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4)", "pytest-cov (>=4.1)", "pytest-mock (>=3.11.1)"]
+docs = ["furo (>=2023.9.10)", "proselint (>=0.13)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"]
+test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)"]
+type = ["mypy (>=1.8)"]
 
 [[package]]
 name = "pluggy"
-version = "1.3.0"
+version = "1.5.0"
 description = "plugin and hook calling mechanisms for python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "pluggy-1.3.0-py3-none-any.whl", hash = "sha256:d89c696a773f8bd377d18e5ecda92b7a3793cbe66c87060a6fb58c7b6e1061f7"},
-    {file = "pluggy-1.3.0.tar.gz", hash = "sha256:cf61ae8f126ac6f7c451172cf30e3e43d3ca77615509771b3a984a0730651e12"},
+    {file = "pluggy-1.5.0-py3-none-any.whl", hash = "sha256:44e1ad92c8ca002de6377e165f3e0f1be63266ab4d554740532335b9d75ea669"},
+    {file = "pluggy-1.5.0.tar.gz", hash = "sha256:2cffa88e94fdc978c4c574f15f9e59b7f4201d439195c3715ca9e2486f1d0cf1"},
 ]
 
 [package.extras]
@@ -1812,13 +1814,13 @@ files = [
 
 [[package]]
 name = "prompt-toolkit"
-version = "3.0.39"
+version = "3.0.47"
 description = "Library for building powerful interactive command lines in Python"
 optional = false
 python-versions = ">=3.7.0"
 files = [
-    {file = "prompt_toolkit-3.0.39-py3-none-any.whl", hash = "sha256:9dffbe1d8acf91e3de75f3b544e4842382fc06c6babe903ac9acb74dc6e08d88"},
-    {file = "prompt_toolkit-3.0.39.tar.gz", hash = "sha256:04505ade687dc26dc4284b1ad19a83be2f2afe83e7a828ace0c72f3a1df72aac"},
+    {file = "prompt_toolkit-3.0.47-py3-none-any.whl", hash = "sha256:0d7bfa67001d5e39d02c224b663abc33687405033a8c422d0d675a5a13361d10"},
+    {file = "prompt_toolkit-3.0.47.tar.gz", hash = "sha256:1e1b29cb58080b1e69f207c893a1a7bf16d127a5c30c9d17a25a5d77792e5360"},
 ]
 
 [package.dependencies]
@@ -1899,13 +1901,13 @@ tests = ["pytest"]
 
 [[package]]
 name = "pycparser"
-version = "2.21"
+version = "2.22"
 description = "C parser in Python"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+python-versions = ">=3.8"
 files = [
-    {file = "pycparser-2.21-py2.py3-none-any.whl", hash = "sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9"},
-    {file = "pycparser-2.21.tar.gz", hash = "sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206"},
+    {file = "pycparser-2.22-py3-none-any.whl", hash = "sha256:c3702b6d3dd8c7abc1afa565d7e63d53a1d0bd86cdc24edd75470f4de499cfcc"},
+    {file = "pycparser-2.22.tar.gz", hash = "sha256:491c8be9c040f5390f5bf44a5b07752bd07f56edf992381b05c701439eec10f6"},
 ]
 
 [[package]]
@@ -1951,47 +1953,47 @@ files = [
 
 [[package]]
 name = "pydantic"
-version = "1.10.13"
+version = "1.10.16"
 description = "Data validation and settings management using python type hints"
 optional = false
 python-versions = ">=3.7"
 files = [
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 [package.dependencies]
@@ -2003,31 +2005,31 @@ email = ["email-validator (>=1.0.3)"]
 
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-version = "2.16.1"
+version = "2.18.0"
 description = "Pygments is a syntax highlighting package written in Python."
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 [package.extras]
-plugins = ["importlib-metadata"]
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+version = "2.17.7"
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 colorama = {version = ">=0.4.5", markers = "sys_platform == \"win32\""}
 dill = {version = ">=0.2", markers = "python_version < \"3.11\""}
 isort = ">=4.2.5,<6"
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 [[package]]
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+version = "7.4.4"
 description = "pytest: simple powerful testing with Python"
 optional = false
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 ]
 
 [package.dependencies]
@@ -2115,13 +2117,13 @@ six = "*"
 
 [[package]]
 name = "pytest-asyncio"
-version = "0.21.1"
+version = "0.21.2"
 description = "Pytest support for asyncio"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -2218,13 +2220,13 @@ testing = ["filelock"]
 
 [[package]]
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+version = "2.9.0.post0"
 description = "Extensions to the standard Python datetime module"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -2232,35 +2234,35 @@ six = ">=1.5"
 
 [[package]]
 name = "pytoolconfig"
-version = "1.2.5"
+version = "1.3.1"
 description = "Python tool configuration"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "pytoolconfig-1.2.5-py3-none-any.whl", hash = "sha256:239ba9d3e537b91d0243275a497700ea39a5e259ddb80421c366e3b288bf30fe"},
-    {file = "pytoolconfig-1.2.5.tar.gz", hash = "sha256:a50f9dfe23b03a9d40414c1fdf902fefbeae12f2ac75a3c8f915944d6ffac279"},
+    {file = "pytoolconfig-1.3.1-py3-none-any.whl", hash = "sha256:5d8cea8ae1996938ec3eaf44567bbc5ef1bc900742190c439a44a704d6e1b62b"},
+    {file = "pytoolconfig-1.3.1.tar.gz", hash = "sha256:51e6bd1a6f108238ae6aab6a65e5eed5e75d456be1c2bf29b04e5c1e7d7adbae"},
 ]
 
 [package.dependencies]
-packaging = ">=22.0"
-platformdirs = {version = ">=1.4.4", optional = true, markers = "extra == \"global\""}
+packaging = ">=23.2"
+platformdirs = {version = ">=3.11.0", optional = true, markers = "extra == \"global\""}
 tomli = {version = ">=2.0.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
-doc = ["sphinx (>=4.5.0)", "tabulate (>=0.8.9)"]
-gendocs = ["pytoolconfig[doc]", "sphinx (>=4.5.0)", "sphinx-autodoc-typehints (>=1.18.1)", "sphinx-rtd-theme (>=1.0.0)"]
-global = ["platformdirs (>=1.4.4)"]
-validation = ["pydantic (>=1.7.4)"]
+doc = ["sphinx (>=7.1.2)", "tabulate (>=0.9.0)"]
+gendocs = ["pytoolconfig[doc]", "sphinx (>=7.1.2)", "sphinx-autodoc-typehints (>=1.25.2)", "sphinx-rtd-theme (>=2.0.0)"]
+global = ["platformdirs (>=3.11.0)"]
+validation = ["pydantic (>=2.5.3)"]
 
 [[package]]
 name = "pytz"
-version = "2023.3.post1"
+version = "2024.1"
 description = "World timezone definitions, modern and historical"
 optional = false
 python-versions = "*"
 files = [
-    {file = "pytz-2023.3.post1-py2.py3-none-any.whl", hash = "sha256:ce42d816b81b68506614c11e8937d3aa9e41007ceb50bfdcb0749b921bf646c7"},
-    {file = "pytz-2023.3.post1.tar.gz", hash = "sha256:7b4fddbeb94a1eba4b557da24f19fdf9db575192544270a9101d8509f9f43d7b"},
+    {file = "pytz-2024.1-py2.py3-none-any.whl", hash = "sha256:328171f4e3623139da4983451950b28e95ac706e13f3f2630a879749e7a8b319"},
+    {file = "pytz-2024.1.tar.gz", hash = "sha256:2a29735ea9c18baf14b448846bde5a48030ed267578472d8955cd0e7443a9812"},
 ]
 
 [[package]]
@@ -2492,22 +2494,6 @@ dev = ["click", "doit (>=0.36.0)", "flake8", "mypy", "pycodestyle", "pydevtool",
 doc = ["matplotlib (>2)", "numpydoc", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-design (>=0.2.0)"]
 test = ["asv", "gmpy2", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
 
-[[package]]
-name = "setuptools"
-version = "68.2.2"
-description = "Easily download, build, install, upgrade, and uninstall Python packages"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "setuptools-68.2.2-py3-none-any.whl", hash = "sha256:b454a35605876da60632df1a60f736524eb73cc47bbc9f3f1ef1b644de74fd2a"},
-    {file = "setuptools-68.2.2.tar.gz", hash = "sha256:4ac1475276d2f1c48684874089fefcd83bd7162ddaafb81fac866ba0db282a87"},
-]
-
-[package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-hoverxref (<2)", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
-testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pip (>=19.1)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-ruff", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
-testing-integration = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "packaging (>=23.1)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"]
-
 [[package]]
 name = "six"
 version = "1.16.0"
@@ -2604,13 +2590,13 @@ lite = ["monetdblite", "numpy"]
 
 [[package]]
 name = "stack-data"
-version = "0.6.2"
+version = "0.6.3"
 description = "Extract data from python stack frames and tracebacks for informative displays"
 optional = false
 python-versions = "*"
 files = [
-    {file = "stack_data-0.6.2-py3-none-any.whl", hash = "sha256:cbb2a53eb64e5785878201a97ed7c7b94883f48b87bfb0bbe8b623c74679e4a8"},
-    {file = "stack_data-0.6.2.tar.gz", hash = "sha256:32d2dd0376772d01b6cb9fc996f3c8b57a357089dec328ed4b6553d037eaf815"},
+    {file = "stack_data-0.6.3-py3-none-any.whl", hash = "sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695"},
+    {file = "stack_data-0.6.3.tar.gz", hash = "sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9"},
 ]
 
 [package.dependencies]
@@ -2681,13 +2667,13 @@ tests = ["pytest", "pytest-cov"]
 
 [[package]]
 name = "threadpoolctl"
-version = "3.2.0"
+version = "3.5.0"
 description = "threadpoolctl"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "threadpoolctl-3.2.0-py3-none-any.whl", hash = "sha256:2b7818516e423bdaebb97c723f86a7c6b0a83d3f3b0970328d66f4d9104dc032"},
-    {file = "threadpoolctl-3.2.0.tar.gz", hash = "sha256:c96a0ba3bdddeaca37dc4cc7344aafad41cdb8c313f74fdfe387a867bba93355"},
+    {file = "threadpoolctl-3.5.0-py3-none-any.whl", hash = "sha256:56c1e26c150397e58c4926da8eeee87533b1e32bef131bd4bf6a2f45f3185467"},
+    {file = "threadpoolctl-3.5.0.tar.gz", hash = "sha256:082433502dd922bf738de0d8bcc4fdcbf0979ff44c42bd40f5af8a282f6fa107"},
 ]
 
 [[package]]
@@ -2714,13 +2700,13 @@ files = [
 
 [[package]]
 name = "tomlkit"
-version = "0.12.1"
+version = "0.12.5"
 description = "Style preserving TOML library"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "tomlkit-0.12.1-py3-none-any.whl", hash = "sha256:712cbd236609acc6a3e2e97253dfc52d4c2082982a88f61b640ecf0817eab899"},
-    {file = "tomlkit-0.12.1.tar.gz", hash = "sha256:38e1ff8edb991273ec9f6181244a6a391ac30e9f5098e7535640ea6be97a7c86"},
+    {file = "tomlkit-0.12.5-py3-none-any.whl", hash = "sha256:af914f5a9c59ed9d0762c7b64d3b5d5df007448eb9cd2edc8a46b1eafead172f"},
+    {file = "tomlkit-0.12.5.tar.gz", hash = "sha256:eef34fba39834d4d6b73c9ba7f3e4d1c417a4e56f89a7e96e090dd0d24b8fb3c"},
 ]
 
 [[package]]
@@ -2745,28 +2731,28 @@ telegram = ["requests"]
 
 [[package]]
 name = "traitlets"
-version = "5.10.1"
+version = "5.14.3"
 description = "Traitlets Python configuration system"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "traitlets-5.10.1-py3-none-any.whl", hash = "sha256:07ab9c5bf8a0499fd7b088ba51be899c90ffc936ffc797d7b6907fc516bcd116"},
-    {file = "traitlets-5.10.1.tar.gz", hash = "sha256:db9c4aa58139c3ba850101913915c042bdba86f7c8a0dda1c6f7f92c5da8e542"},
+    {file = "traitlets-5.14.3-py3-none-any.whl", hash = "sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f"},
+    {file = "traitlets-5.14.3.tar.gz", hash = "sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7"},
 ]
 
 [package.extras]
 docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
-test = ["argcomplete (>=3.0.3)", "mypy (>=1.5.1)", "pre-commit", "pytest (>=7.0,<7.5)", "pytest-mock", "pytest-mypy-testing"]
+test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,<8.2)", "pytest-mock", "pytest-mypy-testing"]
 
 [[package]]
 name = "typing-extensions"
-version = "4.8.0"
+version = "4.12.2"
 description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "typing_extensions-4.8.0-py3-none-any.whl", hash = "sha256:8f92fc8806f9a6b641eaa5318da32b44d401efaac0f6678c9bc448ba3605faa0"},
-    {file = "typing_extensions-4.8.0.tar.gz", hash = "sha256:df8e4339e9cb77357558cbdbceca33c303714cf861d1eef15e1070055ae8b7ef"},
+    {file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
+    {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
 ]
 
 [[package]]
@@ -2786,87 +2772,87 @@ typing-extensions = ">=3.7.4"
 
 [[package]]
 name = "tzdata"
-version = "2023.3"
+version = "2024.1"
 description = "Provider of IANA time zone data"
 optional = false
 python-versions = ">=2"
 files = [
-    {file = "tzdata-2023.3-py2.py3-none-any.whl", hash = "sha256:7e65763eef3120314099b6939b5546db7adce1e7d6f2e179e3df563c70511eda"},
-    {file = "tzdata-2023.3.tar.gz", hash = "sha256:11ef1e08e54acb0d4f95bdb1be05da659673de4acbd21bf9c69e94cc5e907a3a"},
+    {file = "tzdata-2024.1-py2.py3-none-any.whl", hash = "sha256:9068bc196136463f5245e51efda838afa15aaeca9903f49050dfa2679db4d252"},
+    {file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"},
 ]
 
 [[package]]
 name = "urllib3"
-version = "2.0.5"
+version = "2.2.1"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "urllib3-2.0.5-py3-none-any.whl", hash = "sha256:ef16afa8ba34a1f989db38e1dbbe0c302e4289a47856990d0682e374563ce35e"},
-    {file = "urllib3-2.0.5.tar.gz", hash = "sha256:13abf37382ea2ce6fb744d4dad67838eec857c9f4f57009891805e0b5e123594"},
+    {file = "urllib3-2.2.1-py3-none-any.whl", hash = "sha256:450b20ec296a467077128bff42b73080516e71b56ff59a60a02bef2232c4fa9d"},
+    {file = "urllib3-2.2.1.tar.gz", hash = "sha256:d0570876c61ab9e520d776c38acbbb5b05a776d3f9ff98a5c8fd5162a444cf19"},
 ]
 
 [package.extras]
 brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
-secure = ["certifi", "cryptography (>=1.9)", "idna (>=2.0.0)", "pyopenssl (>=17.1.0)", "urllib3-secure-extra"]
+h2 = ["h2 (>=4,<5)"]
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "vine"
-version = "5.0.0"
-description = "Promises, promises, promises."
+version = "5.1.0"
+description = "Python promises."
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "vine-5.0.0-py2.py3-none-any.whl", hash = "sha256:4c9dceab6f76ed92105027c49c823800dd33cacce13bdedc5b914e3514b7fb30"},
-    {file = "vine-5.0.0.tar.gz", hash = "sha256:7d3b1624a953da82ef63462013bbd271d3eb75751489f9807598e8f340bd637e"},
+    {file = "vine-5.1.0-py3-none-any.whl", hash = "sha256:40fdf3c48b2cfe1c38a49e9ae2da6fda88e4794c810050a728bd7413811fb1dc"},
+    {file = "vine-5.1.0.tar.gz", hash = "sha256:8b62e981d35c41049211cf62a0a1242d8c1ee9bd15bb196ce38aefd6799e61e0"},
 ]
 
 [[package]]
 name = "virtualenv"
-version = "20.24.5"
+version = "20.26.2"
 description = "Virtual Python Environment builder"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "virtualenv-20.24.5-py3-none-any.whl", hash = "sha256:b80039f280f4919c77b30f1c23294ae357c4c8701042086e3fc005963e4e537b"},
-    {file = "virtualenv-20.24.5.tar.gz", hash = "sha256:e8361967f6da6fbdf1426483bfe9fca8287c242ac0bc30429905721cefbff752"},
+    {file = "virtualenv-20.26.2-py3-none-any.whl", hash = "sha256:a624db5e94f01ad993d476b9ee5346fdf7b9de43ccaee0e0197012dc838a0e9b"},
+    {file = "virtualenv-20.26.2.tar.gz", hash = "sha256:82bf0f4eebbb78d36ddaee0283d43fe5736b53880b8a8cdcd37390a07ac3741c"},
 ]
 
 [package.dependencies]
 distlib = ">=0.3.7,<1"
 filelock = ">=3.12.2,<4"
-platformdirs = ">=3.9.1,<4"
+platformdirs = ">=3.9.1,<5"
 
 [package.extras]
-docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"]
+docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2,!=7.3)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"]
 test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8)", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10)"]
 
 [[package]]
 name = "wcwidth"
-version = "0.2.6"
+version = "0.2.13"
 description = "Measures the displayed width of unicode strings in a terminal"
 optional = false
 python-versions = "*"
 files = [
-    {file = "wcwidth-0.2.6-py2.py3-none-any.whl", hash = "sha256:795b138f6875577cd91bba52baf9e445cd5118fd32723b460e30a0af30ea230e"},
-    {file = "wcwidth-0.2.6.tar.gz", hash = "sha256:a5220780a404dbe3353789870978e472cfe477761f06ee55077256e509b156d0"},
+    {file = "wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859"},
+    {file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"},
 ]
 
 [[package]]
 name = "websocket-client"
-version = "1.6.3"
+version = "1.8.0"
 description = "WebSocket client for Python with low level API options"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "websocket-client-1.6.3.tar.gz", hash = "sha256:3aad25d31284266bcfcfd1fd8a743f63282305a364b8d0948a43bd606acc652f"},
-    {file = "websocket_client-1.6.3-py3-none-any.whl", hash = "sha256:6cfc30d051ebabb73a5fa246efdcc14c8fbebbd0330f8984ac3bb6d9edd2ad03"},
+    {file = "websocket_client-1.8.0-py3-none-any.whl", hash = "sha256:17b44cc997f5c498e809b22cdf2d9c7a9e71c02c8cc2b6c56e7c2d1239bfa526"},
+    {file = "websocket_client-1.8.0.tar.gz", hash = "sha256:3239df9f44da632f96012472805d40a23281a991027ce11d2f45a6f24ac4c3da"},
 ]
 
 [package.extras]
-docs = ["Sphinx (>=6.0)", "sphinx-rtd-theme (>=1.1.0)"]
+docs = ["Sphinx (>=6.0)", "myst-parser (>=2.0.0)", "sphinx-rtd-theme (>=1.1.0)"]
 optional = ["python-socks", "wsaccel"]
 test = ["websockets"]
 
@@ -2906,86 +2892,81 @@ test = ["pytest"]
 
 [[package]]
 name = "wrapt"
-version = "1.15.0"
+version = "1.16.0"
 description = "Module for decorators, wrappers and monkey patching."
 optional = false
-python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
-files = [
-    {file = "wrapt-1.15.0-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:ca1cccf838cd28d5a0883b342474c630ac48cac5df0ee6eacc9c7290f76b11c1"},
-    {file = "wrapt-1.15.0-cp27-cp27m-manylinux1_i686.whl", hash = "sha256:e826aadda3cae59295b95343db8f3d965fb31059da7de01ee8d1c40a60398b29"},
-    {file = "wrapt-1.15.0-cp27-cp27m-manylinux1_x86_64.whl", hash = "sha256:5fc8e02f5984a55d2c653f5fea93531e9836abbd84342c1d1e17abc4a15084c2"},
-    {file = "wrapt-1.15.0-cp27-cp27m-manylinux2010_i686.whl", hash = "sha256:96e25c8603a155559231c19c0349245eeb4ac0096fe3c1d0be5c47e075bd4f46"},
-    {file = "wrapt-1.15.0-cp27-cp27m-manylinux2010_x86_64.whl", hash = "sha256:40737a081d7497efea35ab9304b829b857f21558acfc7b3272f908d33b0d9d4c"},
-    {file = "wrapt-1.15.0-cp27-cp27mu-manylinux1_i686.whl", hash = "sha256:f87ec75864c37c4c6cb908d282e1969e79763e0d9becdfe9fe5473b7bb1e5f09"},
-    {file = "wrapt-1.15.0-cp27-cp27mu-manylinux1_x86_64.whl", hash = "sha256:1286eb30261894e4c70d124d44b7fd07825340869945c79d05bda53a40caa079"},
-    {file = "wrapt-1.15.0-cp27-cp27mu-manylinux2010_i686.whl", hash = "sha256:493d389a2b63c88ad56cdc35d0fa5752daac56ca755805b1b0c530f785767d5e"},
-    {file = "wrapt-1.15.0-cp27-cp27mu-manylinux2010_x86_64.whl", hash = "sha256:58d7a75d731e8c63614222bcb21dd992b4ab01a399f1f09dd82af17bbfc2368a"},
-    {file = "wrapt-1.15.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:21f6d9a0d5b3a207cdf7acf8e58d7d13d463e639f0c7e01d82cdb671e6cb7923"},
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+    {file = "wrapt-1.16.0-cp37-cp37m-win_amd64.whl", hash = "sha256:66dfbaa7cfa3eb707bbfcd46dab2bc6207b005cbc9caa2199bcbc81d95071a00"},
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+    {file = "wrapt-1.16.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:44a2754372e32ab315734c6c73b24351d06e77ffff6ae27d2ecf14cf3d229202"},
+    {file = "wrapt-1.16.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8e9723528b9f787dc59168369e42ae1c3b0d3fadb2f1a71de14531d321ee05b0"},
+    {file = "wrapt-1.16.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:dbed418ba5c3dce92619656802cc5355cb679e58d0d89b50f116e4a9d5a9603e"},
+    {file = "wrapt-1.16.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:941988b89b4fd6b41c3f0bfb20e92bd23746579736b7343283297c4c8cbae68f"},
+    {file = "wrapt-1.16.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:6a42cd0cfa8ffc1915aef79cb4284f6383d8a3e9dcca70c445dcfdd639d51267"},
+    {file = "wrapt-1.16.0-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:1ca9b6085e4f866bd584fb135a041bfc32cab916e69f714a7d1d397f8c4891ca"},
+    {file = "wrapt-1.16.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:d5e49454f19ef621089e204f862388d29e6e8d8b162efce05208913dde5b9ad6"},
+    {file = "wrapt-1.16.0-cp38-cp38-win32.whl", hash = "sha256:c31f72b1b6624c9d863fc095da460802f43a7c6868c5dda140f51da24fd47d7b"},
+    {file = "wrapt-1.16.0-cp38-cp38-win_amd64.whl", hash = "sha256:490b0ee15c1a55be9c1bd8609b8cecd60e325f0575fc98f50058eae366e01f41"},
+    {file = "wrapt-1.16.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:9b201ae332c3637a42f02d1045e1d0cccfdc41f1f2f801dafbaa7e9b4797bfc2"},
+    {file = "wrapt-1.16.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:2076fad65c6736184e77d7d4729b63a6d1ae0b70da4868adeec40989858eb3fb"},
+    {file = "wrapt-1.16.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c5cd603b575ebceca7da5a3a251e69561bec509e0b46e4993e1cac402b7247b8"},
+    {file = "wrapt-1.16.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b47cfad9e9bbbed2339081f4e346c93ecd7ab504299403320bf85f7f85c7d46c"},
+    {file = "wrapt-1.16.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f8212564d49c50eb4565e502814f694e240c55551a5f1bc841d4fcaabb0a9b8a"},
+    {file = "wrapt-1.16.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:5f15814a33e42b04e3de432e573aa557f9f0f56458745c2074952f564c50e664"},
+    {file = "wrapt-1.16.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:db2e408d983b0e61e238cf579c09ef7020560441906ca990fe8412153e3b291f"},
+    {file = "wrapt-1.16.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:edfad1d29c73f9b863ebe7082ae9321374ccb10879eeabc84ba3b69f2579d537"},
+    {file = "wrapt-1.16.0-cp39-cp39-win32.whl", hash = "sha256:ed867c42c268f876097248e05b6117a65bcd1e63b779e916fe2e33cd6fd0d3c3"},
+    {file = "wrapt-1.16.0-cp39-cp39-win_amd64.whl", hash = "sha256:eb1b046be06b0fce7249f1d025cd359b4b80fc1c3e24ad9eca33e0dcdb2e4a35"},
+    {file = "wrapt-1.16.0-py3-none-any.whl", hash = "sha256:6906c4100a8fcbf2fa735f6059214bb13b97f75b1a61777fcf6432121ef12ef1"},
+    {file = "wrapt-1.16.0.tar.gz", hash = "sha256:5f370f952971e7d17c7d1ead40e49f32345a7f7a5373571ef44d800d06b1899d"},
 ]
 
 [[package]]
@@ -3004,20 +2985,20 @@ h11 = ">=0.9.0,<1"
 
 [[package]]
 name = "zipp"
-version = "3.17.0"
+version = "3.19.2"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "zipp-3.17.0-py3-none-any.whl", hash = "sha256:0e923e726174922dce09c53c59ad483ff7bbb8e572e00c7f7c46b88556409f31"},
-    {file = "zipp-3.17.0.tar.gz", hash = "sha256:84e64a1c28cf7e91ed2078bb8cc8c259cb19b76942096c8d7b84947690cabaf0"},
+    {file = "zipp-3.19.2-py3-none-any.whl", hash = "sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c"},
+    {file = "zipp-3.19.2.tar.gz", hash = "sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19"},
 ]
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
 
 [metadata]
 lock-version = "2.0"
 python-versions = "~3.8"
-content-hash = "a2bea930cc10c9936a101beb532743be9caf8d7d253f3701eb113186da5bd572"
+content-hash = "a65901d4add9e8ef00471b9a4d12298e3a281cab36b536c7258acae25746e5dd"
diff --git a/pyproject.toml b/pyproject.toml
index ffc92cc04..ef6fc5733 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -24,6 +24,7 @@ eventlet = "~0.33"
 patsy = "~0.5.3"
 flwr = "1.7.0"
 psutil = "^5.9.8"
+werkzeug = "2.3.7"
 
 [tool.poetry.dev-dependencies]
 pytest = "~7.4"
@@ -54,7 +55,7 @@ hypothesis = "~6.81"
 pytest-rerunfailures = "~12.0"
 
 [tool.poetry.group.dev.dependencies]
-mipdb = "2.4.7" # Must be updated together with mipdb Dockerfile
+mipdb = "2.4.9" # Must be updated together with mipdb Dockerfile
 
 [tool.pytest.ini_options]
 markers = [
diff --git a/tasks.py b/tasks.py
index 126b96387..82fb6c103 100644
--- a/tasks.py
+++ b/tasks.py
@@ -442,7 +442,7 @@ def load_data(c, use_sockets=False, port=None):
             f"Loading the folder '{TEST_DATA_FOLDER}' in MonetDB at port {local_worker_ports[0]}...",
             Level.HEADER,
         )
-        run(c, cmd)
+        run(c, cmd, env={"DATA_PATH": TEST_DATA_FOLDER})
         return
 
     # Load the test data folder into the dbs
@@ -479,7 +479,7 @@ def load_data(c, use_sockets=False, port=None):
                 Level.HEADER,
             )
             cmd = f"poetry run mipdb add-dataset {csv} -d {data_model_code} -v {data_model_version} --copy_from_file {not use_sockets} {get_monetdb_configs_in_mipdb_format(port)}"
-            run(c, cmd)
+            run(c, cmd, env={"DATA_PATH": TEST_DATA_FOLDER})
 
         # Load the data model's remaining csvs in the rest of the workers with round-robin fashion
         remaining_csvs = sorted(
@@ -500,7 +500,7 @@ def load_data(c, use_sockets=False, port=None):
                 Level.HEADER,
             )
             cmd = f"poetry run mipdb add-dataset {csv} -d {data_model_code} -v {data_model_version} --copy_from_file {not use_sockets} {get_monetdb_configs_in_mipdb_format(port)}"
-            run(c, cmd)
+            run(c, cmd, env={"DATA_PATH": TEST_DATA_FOLDER})
 
 
 def get_monetdb_configs_in_mipdb_format(port):
@@ -1142,14 +1142,23 @@ def reload_udfio(c, db):
         run(c, command)
 
 
-def run(c, cmd, attach_=False, wait=True, warn=False, raise_error=False, show_ok=True):
+def run(
+    c,
+    cmd,
+    attach_=False,
+    wait=True,
+    warn=False,
+    raise_error=False,
+    show_ok=True,
+    env=None,
+):
     if attach_:
-        c.run(cmd, pty=True)
+        c.run(cmd, pty=True, env=env)
         return
 
     if not wait:
         # TODO disown=True will make c.run(..) return immediately
-        c.run(cmd, disown=True)
+        c.run(cmd, disown=True, env=env)
         # TODO wait is False to get in here
         # nevertheless, it will wait (sleep) for 4 seconds here, why??
         spin_wheel(time=4)
@@ -1158,7 +1167,7 @@ def run(c, cmd, attach_=False, wait=True, warn=False, raise_error=False, show_ok
         return
 
     # TODO this is supposed to run when wait=True, yet asynchronous=True
-    promise = c.run(cmd, asynchronous=True, warn=warn)
+    promise = c.run(cmd, asynchronous=True, warn=warn, env=env)
     # TODO and then it blocks here, what is the point of asynchronous=True?
     spin_wheel(promise=promise)
     stderr = promise.runner.stderr
diff --git a/tests/standalone_tests/controller/services/api/test_validate_algorithm_request.py b/tests/standalone_tests/controller/services/api/test_validate_algorithm_request.py
index 35a31f844..53dd25416 100644
--- a/tests/standalone_tests/controller/services/api/test_validate_algorithm_request.py
+++ b/tests/standalone_tests/controller/services/api/test_validate_algorithm_request.py
@@ -27,6 +27,9 @@
 from exareme2.controller.services.worker_landscape_aggregator.worker_landscape_aggregator import (
     DataModelsCDES,
 )
+from exareme2.controller.services.worker_landscape_aggregator.worker_landscape_aggregator import (
+    DatasetLocation,
+)
 from exareme2.controller.services.worker_landscape_aggregator.worker_landscape_aggregator import (
     DatasetsLocations,
 )
@@ -115,10 +118,21 @@ def worker_landscape_aggregator():
         datasets_locations=DatasetsLocations(
             datasets_locations={
                 "data_model_with_all_cde_types:0.1": {
-                    "sample_dataset1": "sample_worker",
-                    "sample_dataset2": "sample_worker",
+                    "sample_dataset1": DatasetLocation(
+                        worker_id="sample_worker",
+                        csv_path="/opt/data/sample_dataset1.csv",
+                    ),
+                    "sample_dataset2": DatasetLocation(
+                        worker_id="sample_worker",
+                        csv_path="/opt/data/sample_dataset2.csv",
+                    ),
+                },
+                "sample_data_model:0.1": {
+                    "sample_dataset": DatasetLocation(
+                        worker_id="sample_worker",
+                        csv_path="/opt/data/sample_dataset.csv",
+                    )
                 },
-                "sample_data_model:0.1": {"sample_dataset": "sample_worker"},
             }
         ),
     )
diff --git a/tests/standalone_tests/controller/services/worker_landscape_agreggator/test_data_model_registry.py b/tests/standalone_tests/controller/services/worker_landscape_agreggator/test_data_model_registry.py
index 3ab40eadc..d46221102 100644
--- a/tests/standalone_tests/controller/services/worker_landscape_agreggator/test_data_model_registry.py
+++ b/tests/standalone_tests/controller/services/worker_landscape_agreggator/test_data_model_registry.py
@@ -10,6 +10,9 @@
 from exareme2.controller.services.worker_landscape_aggregator.worker_landscape_aggregator import (
     DataModelsCDES,
 )
+from exareme2.controller.services.worker_landscape_aggregator.worker_landscape_aggregator import (
+    DatasetLocation,
+)
 from exareme2.controller.services.worker_landscape_aggregator.worker_landscape_aggregator import (
     DatasetsLocations,
 )
@@ -23,20 +26,44 @@ def mocked_datasets_locations():
     yield DatasetsLocations(
         datasets_locations={
             "tbi:0.1": {
-                "dummy_tbi0": "localworker1",
-                "dummy_tbi1": "localworker2",
-                "dummy_tbi3": "localworker2",
+                "dummy_tbi0": DatasetLocation(
+                    worker_id="localworker1", csv_path="/opt/data/dummy_tbi0.csv"
+                ),
+                "dummy_tbi1": DatasetLocation(
+                    worker_id="localworker2", csv_path="/opt/data/dummy_tbi1.csv"
+                ),
+                "dummy_tbi3": DatasetLocation(
+                    worker_id="localworker2", csv_path="/opt/data/dummy_tbi3.csv"
+                ),
             },
             "dementia:0.1": {
-                "ppmi0": "localworker1",
-                "ppmi1": "localworker2",
-                "ppmi3": "localworker2",
-                "edsd0": "localworker1",
-                "edsd1": "localworker2",
-                "edsd3": "localworker2",
-                "desd-synthdata0": "localworker1",
-                "desd-synthdata1": "localworker2",
-                "desd-synthdata3": "localworker2",
+                "ppmi0": DatasetLocation(
+                    worker_id="localworker1", csv_path="/opt/data/ppmi0.csv"
+                ),
+                "ppmi1": DatasetLocation(
+                    worker_id="localworker2", csv_path="/opt/data/ppmi1.csv"
+                ),
+                "ppmi3": DatasetLocation(
+                    worker_id="localworker2", csv_path="/opt/data/ppmi3.csv"
+                ),
+                "edsd0": DatasetLocation(
+                    worker_id="localworker1", csv_path="/opt/data/edsd0.csv"
+                ),
+                "edsd1": DatasetLocation(
+                    worker_id="localworker2", csv_path="/opt/data/edsd1.csv"
+                ),
+                "edsd3": DatasetLocation(
+                    worker_id="localworker2", csv_path="/opt/data/edsd3.csv"
+                ),
+                "synthdata0": DatasetLocation(
+                    worker_id="localworker1", csv_path="/opt/data/synthdata0.csv"
+                ),
+                "synthdata1": DatasetLocation(
+                    worker_id="localworker2", csv_path="/opt/data/synthdata1.csv"
+                ),
+                "synthdata2": DatasetLocation(
+                    worker_id="localworker2", csv_path="/opt/data/synthdata2.csv"
+                ),
             },
         }
     )
diff --git a/tests/standalone_tests/controller/services/worker_landscape_agreggator/test_federation_info_script.py b/tests/standalone_tests/controller/services/worker_landscape_agreggator/test_federation_info_script.py
index e8578da74..74e302387 100644
--- a/tests/standalone_tests/controller/services/worker_landscape_agreggator/test_federation_info_script.py
+++ b/tests/standalone_tests/controller/services/worker_landscape_agreggator/test_federation_info_script.py
@@ -7,6 +7,9 @@
 from exareme2 import AttrDict
 from exareme2.controller.federation_info_logs import log_experiment_execution
 from exareme2.controller.logger import init_logger
+from exareme2.controller.services.worker_landscape_aggregator.worker_landscape_aggregator import (
+    DatasetLocation,
+)
 from exareme2.controller.services.worker_landscape_aggregator.worker_landscape_aggregator import (
     _log_data_model_changes,
 )
@@ -97,8 +100,20 @@ def test_show_controller_audit_entries(patch_controller_logger_config, capsys):
         logger=logger,
     )
     _log_dataset_changes(
-        old_datasets_locations={"dementia:0.1": {"edsd": "localworker1"}},
-        new_datasets_locations={"tbi:0.1": {"dummy_tbi": "localworker2"}},
+        old_datasets_locations={
+            "dementia:0.1": {
+                "edsd": DatasetLocation(
+                    worker_id="localworker1", csv_path="/opt/data/edsd.csv"
+                )
+            }
+        },
+        new_datasets_locations={
+            "tbi:0.1": {
+                "dummy_tbi": DatasetLocation(
+                    worker_id="localworker2", csv_path="/opt/data/dummy_tbi.csv"
+                )
+            }
+        },
         logger=logger,
     )
     log_experiment_execution(
diff --git a/tests/standalone_tests/controller/services/worker_landscape_agreggator/test_worker_landscape_aggregator.py b/tests/standalone_tests/controller/services/worker_landscape_agreggator/test_worker_landscape_aggregator.py
index 8d4039e2b..c7a284469 100644
--- a/tests/standalone_tests/controller/services/worker_landscape_agreggator/test_worker_landscape_aggregator.py
+++ b/tests/standalone_tests/controller/services/worker_landscape_agreggator/test_worker_landscape_aggregator.py
@@ -21,7 +21,10 @@
     DataModelsMetadataPerWorker,
 )
 from exareme2.controller.services.worker_landscape_aggregator.worker_landscape_aggregator import (
-    DatasetsLabels,
+    DatasetLocation,
+)
+from exareme2.controller.services.worker_landscape_aggregator.worker_landscape_aggregator import (
+    DatasetsInfo,
 )
 from exareme2.controller.services.worker_landscape_aggregator.worker_landscape_aggregator import (
     DatasetsLocations,
@@ -35,6 +38,7 @@
 from exareme2.worker_communication import CommonDataElement
 from exareme2.worker_communication import CommonDataElements
 from exareme2.worker_communication import DataModelAttributes
+from exareme2.worker_communication import DatasetInfo
 from tests.standalone_tests.conftest import RABBITMQ_LOCALWORKERTMP_ADDR
 
 
@@ -80,10 +84,16 @@ def get_parametrization_cases():
                     "localworker1": DataModelsMetadata(
                         data_models_metadata={
                             "data_model:1": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset1": "DATASET1",
-                                        "dataset2": "DATASET2",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset1": DatasetInfo(
+                                            label="DATASET1",
+                                            csv_path="/opt/data/dataset1.csv",
+                                        ),
+                                        "dataset2": DatasetInfo(
+                                            label="DATASET2",
+                                            csv_path="/opt/data/dataset2.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -108,9 +118,12 @@ def get_parametrization_cases():
                                 ),
                             ),
                             "data_model:2": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset1": "DATASET1",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset1": DatasetInfo(
+                                            label="DATASET1",
+                                            csv_path="/opt/data/dataset1.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -138,10 +151,16 @@ def get_parametrization_cases():
                     "localworker2": DataModelsMetadata(
                         data_models_metadata={
                             "data_model:1": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset3": "DATASET3",
-                                        "dataset4": "DATASET4",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset3": DatasetInfo(
+                                            label="DATASET3",
+                                            csv_path="/opt/data/dataset3.csv",
+                                        ),
+                                        "dataset4": DatasetInfo(
+                                            label="DATASET4",
+                                            csv_path="/opt/data/dataset4.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -170,10 +189,16 @@ def get_parametrization_cases():
                     "localworker3": DataModelsMetadata(
                         data_models_metadata={
                             "data_model:1": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset5": "DATASET5",
-                                        "dataset6": "DATASET6",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset5": DatasetInfo(
+                                            label="DATASET5",
+                                            csv_path="/opt/data/dataset5.csv",
+                                        ),
+                                        "dataset6": DatasetInfo(
+                                            label="DATASET6",
+                                            csv_path="/opt/data/dataset6.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -198,9 +223,12 @@ def get_parametrization_cases():
                                 ),
                             ),
                             "data_model:2": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset2": "DATASET2",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset2": DatasetInfo(
+                                            label="DATASET2",
+                                            csv_path="/opt/data/dataset2.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -290,16 +318,40 @@ def get_parametrization_cases():
                 datasets_locations=DatasetsLocations(
                     datasets_locations={
                         "data_model:1": {
-                            "dataset1": "localworker1",
-                            "dataset2": "localworker1",
-                            "dataset3": "localworker2",
-                            "dataset4": "localworker2",
-                            "dataset5": "localworker3",
-                            "dataset6": "localworker3",
+                            "dataset1": DatasetLocation(
+                                worker_id="localworker1",
+                                csv_path="/opt/data/dataset1.csv",
+                            ),
+                            "dataset2": DatasetLocation(
+                                worker_id="localworker1",
+                                csv_path="/opt/data/dataset2.csv",
+                            ),
+                            "dataset3": DatasetLocation(
+                                worker_id="localworker2",
+                                csv_path="/opt/data/dataset3.csv",
+                            ),
+                            "dataset4": DatasetLocation(
+                                worker_id="localworker2",
+                                csv_path="/opt/data/dataset4.csv",
+                            ),
+                            "dataset5": DatasetLocation(
+                                worker_id="localworker3",
+                                csv_path="/opt/data/dataset5.csv",
+                            ),
+                            "dataset6": DatasetLocation(
+                                worker_id="localworker3",
+                                csv_path="/opt/data/dataset6.csv",
+                            ),
                         },
                         "data_model:2": {
-                            "dataset1": "localworker1",
-                            "dataset2": "localworker3",
+                            "dataset1": DatasetLocation(
+                                worker_id="localworker1",
+                                csv_path="/opt/data/dataset1.csv",
+                            ),
+                            "dataset2": DatasetLocation(
+                                worker_id="localworker3",
+                                csv_path="/opt/data/dataset2.csv",
+                            ),
                         },
                     }
                 ),
@@ -312,10 +364,16 @@ def get_parametrization_cases():
                     "localworker1": DataModelsMetadata(
                         data_models_metadata={
                             "data_model:1": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset1": "DATASET1",
-                                        "dataset2": "DATASET2",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset1": DatasetInfo(
+                                            label="DATASET1",
+                                            csv_path="/opt/data/dataset1.csv",
+                                        ),
+                                        "dataset2": DatasetInfo(
+                                            label="DATASET2",
+                                            csv_path="/opt/data/dataset2.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=None,
@@ -325,9 +383,12 @@ def get_parametrization_cases():
                                 ),
                             ),
                             "data_model:2": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset1": "DATASET1",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset1": DatasetInfo(
+                                            label="DATASET1",
+                                            csv_path="/opt/data/dataset1.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -355,10 +416,16 @@ def get_parametrization_cases():
                     "localworker2": DataModelsMetadata(
                         data_models_metadata={
                             "data_model:1": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset3": "DATASET3",
-                                        "dataset4": "DATASET4",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset3": DatasetInfo(
+                                            label="DATASET3",
+                                            csv_path="/opt/data/dataset3.csv",
+                                        ),
+                                        "dataset4": DatasetInfo(
+                                            label="DATASET4",
+                                            csv_path="/opt/data/dataset4.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -387,10 +454,16 @@ def get_parametrization_cases():
                     "localworker3": DataModelsMetadata(
                         data_models_metadata={
                             "data_model:1": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset5": "DATASET5",
-                                        "dataset6": "DATASET6",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset5": DatasetInfo(
+                                            label="DATASET5",
+                                            csv_path="/opt/data/dataset5.csv",
+                                        ),
+                                        "dataset6": DatasetInfo(
+                                            label="DATASET6",
+                                            csv_path="/opt/data/dataset6.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -415,9 +488,12 @@ def get_parametrization_cases():
                                 ),
                             ),
                             "data_model:2": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset2": "DATASET2",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset2": DatasetInfo(
+                                            label="DATASET2",
+                                            csv_path="/opt/data/dataset2.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -492,14 +568,32 @@ def get_parametrization_cases():
                 datasets_locations=DatasetsLocations(
                     datasets_locations={
                         "data_model:1": {
-                            "dataset3": "localworker2",
-                            "dataset4": "localworker2",
-                            "dataset5": "localworker3",
-                            "dataset6": "localworker3",
+                            "dataset3": DatasetLocation(
+                                worker_id="localworker2",
+                                csv_path="/opt/data/dataset3.csv",
+                            ),
+                            "dataset4": DatasetLocation(
+                                worker_id="localworker2",
+                                csv_path="/opt/data/dataset4.csv",
+                            ),
+                            "dataset5": DatasetLocation(
+                                worker_id="localworker3",
+                                csv_path="/opt/data/dataset5.csv",
+                            ),
+                            "dataset6": DatasetLocation(
+                                worker_id="localworker3",
+                                csv_path="/opt/data/dataset6.csv",
+                            ),
                         },
                         "data_model:2": {
-                            "dataset1": "localworker1",
-                            "dataset2": "localworker3",
+                            "dataset1": DatasetLocation(
+                                worker_id="localworker1",
+                                csv_path="/opt/data/dataset1.csv",
+                            ),
+                            "dataset2": DatasetLocation(
+                                worker_id="localworker3",
+                                csv_path="/opt/data/dataset2.csv",
+                            ),
                         },
                     }
                 ),
@@ -512,10 +606,16 @@ def get_parametrization_cases():
                     "localworker1": DataModelsMetadata(
                         data_models_metadata={
                             "data_model:1": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset1": "DATASET1",
-                                        "dataset2": "DATASET2",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset1": DatasetInfo(
+                                            label="DATASET1",
+                                            csv_path="/opt/data/dataset1.csv",
+                                        ),
+                                        "dataset2": DatasetInfo(
+                                            label="DATASET2",
+                                            csv_path="/opt/data/dataset2.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -549,9 +649,12 @@ def get_parametrization_cases():
                                 ),
                             ),
                             "data_model:2": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset1": "DATASET1",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset1": DatasetInfo(
+                                            label="DATASET1",
+                                            csv_path="/opt/data/dataset1.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -579,10 +682,16 @@ def get_parametrization_cases():
                     "localworker2": DataModelsMetadata(
                         data_models_metadata={
                             "data_model:1": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset3": "DATASET3",
-                                        "dataset4": "DATASET4",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset3": DatasetInfo(
+                                            label="DATASET3",
+                                            csv_path="/opt/data/dataset3.csv",
+                                        ),
+                                        "dataset4": DatasetInfo(
+                                            label="DATASET4",
+                                            csv_path="/opt/data/dataset4.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -620,10 +729,16 @@ def get_parametrization_cases():
                     "localworker3": DataModelsMetadata(
                         data_models_metadata={
                             "data_model:1": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset5": "DATASET5",
-                                        "dataset6": "DATASET6",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset5": DatasetInfo(
+                                            label="DATASET5",
+                                            csv_path="/opt/data/dataset5.csv",
+                                        ),
+                                        "dataset6": DatasetInfo(
+                                            label="DATASET6",
+                                            csv_path="/opt/data/dataset6.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -657,9 +772,12 @@ def get_parametrization_cases():
                                 ),
                             ),
                             "data_model:2": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset2": "DATASET2",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset2": DatasetInfo(
+                                            label="DATASET2",
+                                            csv_path="/opt/data/dataset2.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -715,8 +833,14 @@ def get_parametrization_cases():
                 datasets_locations=DatasetsLocations(
                     datasets_locations={
                         "data_model:2": {
-                            "dataset1": "localworker1",
-                            "dataset2": "localworker3",
+                            "dataset1": DatasetLocation(
+                                worker_id="localworker1",
+                                csv_path="/opt/data/dataset1.csv",
+                            ),
+                            "dataset2": DatasetLocation(
+                                worker_id="localworker3",
+                                csv_path="/opt/data/dataset2.csv",
+                            ),
                         },
                     }
                 ),
@@ -729,7 +853,7 @@ def get_parametrization_cases():
                     "localworker1": DataModelsMetadata(
                         data_models_metadata={
                             "data_model:1": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(datasets_labels={}),
+                                datasets_info=DatasetsInfo(datasets_info={}),
                                 cdes=CommonDataElements(
                                     values={
                                         "dataset": CommonDataElement(
@@ -752,7 +876,7 @@ def get_parametrization_cases():
                                 ),
                             ),
                             "data_model:2": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(datasets_labels={}),
+                                datasets_info=DatasetsInfo(datasets_info={}),
                                 cdes=CommonDataElements(
                                     values={
                                         "dataset": CommonDataElement(
@@ -778,7 +902,7 @@ def get_parametrization_cases():
                     "localworker2": DataModelsMetadata(
                         data_models_metadata={
                             "data_model:1": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(datasets_labels={}),
+                                datasets_info=DatasetsInfo(datasets_info={}),
                                 cdes=CommonDataElements(
                                     values={
                                         "dataset": CommonDataElement(
@@ -805,7 +929,7 @@ def get_parametrization_cases():
                     "localworker3": DataModelsMetadata(
                         data_models_metadata={
                             "data_model:1": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(datasets_labels={}),
+                                datasets_info=DatasetsInfo(datasets_info={}),
                                 cdes=CommonDataElements(
                                     values={
                                         "dataset": CommonDataElement(
@@ -828,7 +952,7 @@ def get_parametrization_cases():
                                 ),
                             ),
                             "data_model:2": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(datasets_labels={}),
+                                datasets_info=DatasetsInfo(datasets_info={}),
                                 cdes=CommonDataElements(
                                     values={
                                         "dataset": CommonDataElement(
@@ -919,10 +1043,16 @@ def get_parametrization_cases():
                     "localworker1": DataModelsMetadata(
                         data_models_metadata={
                             "data_model:1": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset1": "DATASET1",
-                                        "dataset2": "DATASET2",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset1": DatasetInfo(
+                                            label="DATASET1",
+                                            csv_path="/opt/data/dataset1.csv",
+                                        ),
+                                        "dataset2": DatasetInfo(
+                                            label="DATASET2",
+                                            csv_path="/opt/data/dataset2.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -947,9 +1077,12 @@ def get_parametrization_cases():
                                 ),
                             ),
                             "data_model:2": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset1": "DATASET1",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset1": DatasetInfo(
+                                            label="DATASET1",
+                                            csv_path="/opt/data/dataset1.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -977,10 +1110,16 @@ def get_parametrization_cases():
                     "localworker2": DataModelsMetadata(
                         data_models_metadata={
                             "data_model:1": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset1": "DATASET1",
-                                        "dataset2": "DATASET2",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset1": DatasetInfo(
+                                            label="DATASET1",
+                                            csv_path="/opt/data/dataset1.csv",
+                                        ),
+                                        "dataset2": DatasetInfo(
+                                            label="DATASET2",
+                                            csv_path="/opt/data/dataset2.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -1005,9 +1144,12 @@ def get_parametrization_cases():
                                 ),
                             ),
                             "data_model:2": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset1": "DATASET1",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset1": DatasetInfo(
+                                            label="DATASET1",
+                                            csv_path="/opt/data/dataset1.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -1035,10 +1177,16 @@ def get_parametrization_cases():
                     "localworker3": DataModelsMetadata(
                         data_models_metadata={
                             "data_model:1": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset1": "DATASET1",
-                                        "dataset2": "DATASET2",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset1": DatasetInfo(
+                                            label="DATASET1",
+                                            csv_path="/opt/data/dataset1.csv",
+                                        ),
+                                        "dataset2": DatasetInfo(
+                                            label="DATASET2",
+                                            csv_path="/opt/data/dataset2.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -1063,9 +1211,12 @@ def get_parametrization_cases():
                                 ),
                             ),
                             "data_model:2": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset1": "DATASET1",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset1": DatasetInfo(
+                                            label="DATASET1",
+                                            csv_path="/opt/data/dataset1.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -1093,10 +1244,16 @@ def get_parametrization_cases():
                     "localworker4": DataModelsMetadata(
                         data_models_metadata={
                             "data_model:1": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset1": "DATASET1",
-                                        "dataset2": "DATASET2",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset1": DatasetInfo(
+                                            label="DATASET1",
+                                            csv_path="/opt/data/dataset1.csv",
+                                        ),
+                                        "dataset2": DatasetInfo(
+                                            label="DATASET2",
+                                            csv_path="/opt/data/dataset2.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -1121,9 +1278,12 @@ def get_parametrization_cases():
                                 ),
                             ),
                             "data_model:2": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset1": "DATASET1",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset1": DatasetInfo(
+                                            label="DATASET1",
+                                            csv_path="/opt/data/dataset1.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -1199,10 +1359,16 @@ def get_parametrization_cases():
                     "localworker1": DataModelsMetadata(
                         data_models_metadata={
                             "data_model:1": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset1": "DATASET1",
-                                        "dataset2": "DATASET2",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset1": DatasetInfo(
+                                            label="DATASET1",
+                                            csv_path="/opt/data/dataset1.csv",
+                                        ),
+                                        "dataset2": DatasetInfo(
+                                            label="DATASET2",
+                                            csv_path="/opt/data/dataset2.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -1227,9 +1393,12 @@ def get_parametrization_cases():
                                 ),
                             ),
                             "data_model:2": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset1": "DATASET1",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset1": DatasetInfo(
+                                            label="DATASET1",
+                                            csv_path="/opt/data/dataset1.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -1257,10 +1426,16 @@ def get_parametrization_cases():
                     "localworker2": DataModelsMetadata(
                         data_models_metadata={
                             "data_model:1": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset3": "DATASET3",
-                                        "dataset4": "DATASET4",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset3": DatasetInfo(
+                                            label="DATASET3",
+                                            csv_path="/opt/data/dataset3.csv",
+                                        ),
+                                        "dataset4": DatasetInfo(
+                                            label="DATASET4",
+                                            csv_path="/opt/data/dataset4.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -1289,10 +1464,16 @@ def get_parametrization_cases():
                     "localworker3": DataModelsMetadata(
                         data_models_metadata={
                             "data_model:1": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset5": "DATASET5",
-                                        "dataset6": "DATASET6",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset5": DatasetInfo(
+                                            label="DATASET5",
+                                            csv_path="/opt/data/dataset5.csv",
+                                        ),
+                                        "dataset6": DatasetInfo(
+                                            label="DATASET6",
+                                            csv_path="/opt/data/dataset6.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -1317,9 +1498,12 @@ def get_parametrization_cases():
                                 ),
                             ),
                             "data_model:2": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset1": "DATASET1",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset1": DatasetInfo(
+                                            label="DATASET1",
+                                            csv_path="/opt/data/dataset1.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -1393,12 +1577,30 @@ def get_parametrization_cases():
                 datasets_locations=DatasetsLocations(
                     datasets_locations={
                         "data_model:1": {
-                            "dataset1": "localworker1",
-                            "dataset2": "localworker1",
-                            "dataset3": "localworker2",
-                            "dataset4": "localworker2",
-                            "dataset5": "localworker3",
-                            "dataset6": "localworker3",
+                            "dataset1": DatasetLocation(
+                                worker_id="localworker1",
+                                csv_path="/opt/data/dataset1.csv",
+                            ),
+                            "dataset2": DatasetLocation(
+                                worker_id="localworker1",
+                                csv_path="/opt/data/dataset2.csv",
+                            ),
+                            "dataset3": DatasetLocation(
+                                worker_id="localworker2",
+                                csv_path="/opt/data/dataset3.csv",
+                            ),
+                            "dataset4": DatasetLocation(
+                                worker_id="localworker2",
+                                csv_path="/opt/data/dataset4.csv",
+                            ),
+                            "dataset5": DatasetLocation(
+                                worker_id="localworker3",
+                                csv_path="/opt/data/dataset5.csv",
+                            ),
+                            "dataset6": DatasetLocation(
+                                worker_id="localworker3",
+                                csv_path="/opt/data/dataset6.csv",
+                            ),
                         },
                         "data_model:2": {},
                     }
@@ -1412,10 +1614,16 @@ def get_parametrization_cases():
                     "localworker1": DataModelsMetadata(
                         data_models_metadata={
                             "data_model:1": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset1": "DATASET1",
-                                        "dataset2": "DATASET2",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset1": DatasetInfo(
+                                            label="DATASET1",
+                                            csv_path="/opt/data/dataset1.csv",
+                                        ),
+                                        "dataset2": DatasetInfo(
+                                            label="DATASET2",
+                                            csv_path="/opt/data/dataset2.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -1449,9 +1657,12 @@ def get_parametrization_cases():
                                 ),
                             ),
                             "data_model:2": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset1": "DATASET1",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset1": DatasetInfo(
+                                            label="DATASET1",
+                                            csv_path="/opt/data/dataset1.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -1479,10 +1690,16 @@ def get_parametrization_cases():
                     "localworker2": DataModelsMetadata(
                         data_models_metadata={
                             "data_model:1": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset3": "DATASET3",
-                                        "dataset4": "DATASET4",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset3": DatasetInfo(
+                                            label="DATASET3",
+                                            csv_path="/opt/data/dataset3.csv",
+                                        ),
+                                        "dataset4": DatasetInfo(
+                                            label="DATASET4",
+                                            csv_path="/opt/data/dataset4.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -1511,10 +1728,16 @@ def get_parametrization_cases():
                     "localworker3": DataModelsMetadata(
                         data_models_metadata={
                             "data_model:1": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset5": "DATASET5",
-                                        "dataset6": "DATASET6",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset5": DatasetInfo(
+                                            label="DATASET5",
+                                            csv_path="/opt/data/dataset5.csv",
+                                        ),
+                                        "dataset6": DatasetInfo(
+                                            label="DATASET6",
+                                            csv_path="/opt/data/dataset6.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -1539,9 +1762,12 @@ def get_parametrization_cases():
                                 ),
                             ),
                             "data_model:2": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset2": "DATASET2",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset2": DatasetInfo(
+                                            label="DATASET2",
+                                            csv_path="/opt/data/dataset2.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -1597,8 +1823,14 @@ def get_parametrization_cases():
                 datasets_locations=DatasetsLocations(
                     datasets_locations={
                         "data_model:2": {
-                            "dataset1": "localworker1",
-                            "dataset2": "localworker3",
+                            "dataset1": DatasetLocation(
+                                worker_id="localworker1",
+                                csv_path="/opt/data/dataset1.csv",
+                            ),
+                            "dataset2": DatasetLocation(
+                                worker_id="localworker3",
+                                csv_path="/opt/data/dataset2.csv",
+                            ),
                         },
                     }
                 ),
@@ -1611,10 +1843,16 @@ def get_parametrization_cases():
                     "localworker1": DataModelsMetadata(
                         data_models_metadata={
                             "data_model:1": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset1": "DATASET1",
-                                        "dataset2": "DATASET2",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset1": DatasetInfo(
+                                            label="DATASET1",
+                                            csv_path="/opt/data/dataset1.csv",
+                                        ),
+                                        "dataset2": DatasetInfo(
+                                            label="DATASET2",
+                                            csv_path="/opt/data/dataset2.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -1648,9 +1886,12 @@ def get_parametrization_cases():
                                 ),
                             ),
                             "data_model:2": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset1": "DATASET1",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset1": DatasetInfo(
+                                            label="DATASET1",
+                                            csv_path="/opt/data/dataset1.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -1678,10 +1919,16 @@ def get_parametrization_cases():
                     "localworker2": DataModelsMetadata(
                         data_models_metadata={
                             "data_model:1": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset3": "DATASET3",
-                                        "dataset4": "DATASET4",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset3": DatasetInfo(
+                                            label="DATASET3",
+                                            csv_path="/opt/data/dataset3.csv",
+                                        ),
+                                        "dataset4": DatasetInfo(
+                                            label="DATASET4",
+                                            csv_path="/opt/data/dataset4.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -1710,10 +1957,16 @@ def get_parametrization_cases():
                     "localworker3": DataModelsMetadata(
                         data_models_metadata={
                             "data_model:1": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset5": "DATASET5",
-                                        "dataset6": "DATASET6",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset5": DatasetInfo(
+                                            label="DATASET5",
+                                            csv_path="/opt/data/dataset5.csv",
+                                        ),
+                                        "dataset6": DatasetInfo(
+                                            label="DATASET6",
+                                            csv_path="/opt/data/dataset6.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -1738,9 +1991,12 @@ def get_parametrization_cases():
                                 ),
                             ),
                             "data_model:2": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset2": "DATASET2",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset2": DatasetInfo(
+                                            label="DATASET2",
+                                            csv_path="/opt/data/dataset2.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -1796,8 +2052,14 @@ def get_parametrization_cases():
                 datasets_locations=DatasetsLocations(
                     datasets_locations={
                         "data_model:2": {
-                            "dataset1": "localworker1",
-                            "dataset2": "localworker3",
+                            "dataset1": DatasetLocation(
+                                worker_id="localworker1",
+                                csv_path="/opt/data/dataset1.csv",
+                            ),
+                            "dataset2": DatasetLocation(
+                                worker_id="localworker3",
+                                csv_path="/opt/data/dataset2.csv",
+                            ),
                         },
                     }
                 ),
@@ -1810,10 +2072,16 @@ def get_parametrization_cases():
                     "localworker1": DataModelsMetadata(
                         data_models_metadata={
                             "data_model:1": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset1": "DATASET1",
-                                        "dataset2": "DATASET2",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset1": DatasetInfo(
+                                            label="DATASET1",
+                                            csv_path="/opt/data/dataset1.csv",
+                                        ),
+                                        "dataset2": DatasetInfo(
+                                            label="DATASET2",
+                                            csv_path="/opt/data/dataset2.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -1841,9 +2109,12 @@ def get_parametrization_cases():
                                 ),
                             ),
                             "data_model:2": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset1": "DATASET1",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset1": DatasetInfo(
+                                            label="DATASET1",
+                                            csv_path="/opt/data/dataset1.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -1871,10 +2142,16 @@ def get_parametrization_cases():
                     "localworker2": DataModelsMetadata(
                         data_models_metadata={
                             "data_model:1": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset3": "DATASET3",
-                                        "dataset4": "DATASET4",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset3": DatasetInfo(
+                                            label="DATASET3",
+                                            csv_path="/opt/data/dataset3.csv",
+                                        ),
+                                        "dataset4": DatasetInfo(
+                                            label="DATASET4",
+                                            csv_path="/opt/data/dataset4.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -1906,10 +2183,16 @@ def get_parametrization_cases():
                     "localworker3": DataModelsMetadata(
                         data_models_metadata={
                             "data_model:1": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset5": "DATASET5",
-                                        "dataset6": "DATASET6",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset5": DatasetInfo(
+                                            label="DATASET5",
+                                            csv_path="/opt/data/dataset5.csv",
+                                        ),
+                                        "dataset6": DatasetInfo(
+                                            label="DATASET6",
+                                            csv_path="/opt/data/dataset6.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -1934,9 +2217,12 @@ def get_parametrization_cases():
                                 ),
                             ),
                             "data_model:2": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset2": "DATASET2",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset2": DatasetInfo(
+                                            label="DATASET2",
+                                            csv_path="/opt/data/dataset2.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -2027,16 +2313,40 @@ def get_parametrization_cases():
                 datasets_locations=DatasetsLocations(
                     datasets_locations={
                         "data_model:1": {
-                            "dataset1": "localworker1",
-                            "dataset2": "localworker1",
-                            "dataset3": "localworker2",
-                            "dataset4": "localworker2",
-                            "dataset5": "localworker3",
-                            "dataset6": "localworker3",
+                            "dataset1": DatasetLocation(
+                                worker_id="localworker1",
+                                csv_path="/opt/data/dataset1.csv",
+                            ),
+                            "dataset2": DatasetLocation(
+                                worker_id="localworker1",
+                                csv_path="/opt/data/dataset2.csv",
+                            ),
+                            "dataset3": DatasetLocation(
+                                worker_id="localworker2",
+                                csv_path="/opt/data/dataset3.csv",
+                            ),
+                            "dataset4": DatasetLocation(
+                                worker_id="localworker2",
+                                csv_path="/opt/data/dataset4.csv",
+                            ),
+                            "dataset5": DatasetLocation(
+                                worker_id="localworker3",
+                                csv_path="/opt/data/dataset5.csv",
+                            ),
+                            "dataset6": DatasetLocation(
+                                worker_id="localworker3",
+                                csv_path="/opt/data/dataset6.csv",
+                            ),
                         },
                         "data_model:2": {
-                            "dataset1": "localworker1",
-                            "dataset2": "localworker3",
+                            "dataset1": DatasetLocation(
+                                worker_id="localworker1",
+                                csv_path="/opt/data/dataset1.csv",
+                            ),
+                            "dataset2": DatasetLocation(
+                                worker_id="localworker3",
+                                csv_path="/opt/data/dataset2.csv",
+                            ),
                         },
                     }
                 ),
@@ -2049,10 +2359,16 @@ def get_parametrization_cases():
                     "localworker1": DataModelsMetadata(
                         data_models_metadata={
                             "data_model:1": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset1": "DATASET1",
-                                        "dataset2": "DATASET2",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset1": DatasetInfo(
+                                            label="DATASET1",
+                                            csv_path="/opt/data/dataset1.csv",
+                                        ),
+                                        "dataset2": DatasetInfo(
+                                            label="DATASET2",
+                                            csv_path="/opt/data/dataset2.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -2080,9 +2396,12 @@ def get_parametrization_cases():
                                 ),
                             ),
                             "data_model:2": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset1": "DATASET1",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset1": DatasetInfo(
+                                            label="DATASET1",
+                                            csv_path="/opt/data/dataset1.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -2110,10 +2429,16 @@ def get_parametrization_cases():
                     "localworker2": DataModelsMetadata(
                         data_models_metadata={
                             "data_model:1": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset3": "DATASET3",
-                                        "dataset4": "DATASET4",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset3": DatasetInfo(
+                                            label="DATASET3",
+                                            csv_path="/opt/data/dataset3.csv",
+                                        ),
+                                        "dataset4": DatasetInfo(
+                                            label="DATASET4",
+                                            csv_path="/opt/data/dataset4.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -2145,10 +2470,16 @@ def get_parametrization_cases():
                     "localworker3": DataModelsMetadata(
                         data_models_metadata={
                             "data_model:1": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset5": "DATASET5",
-                                        "dataset6": "DATASET6",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset5": DatasetInfo(
+                                            label="DATASET5",
+                                            csv_path="/opt/data/dataset5.csv",
+                                        ),
+                                        "dataset6": DatasetInfo(
+                                            label="DATASET6",
+                                            csv_path="/opt/data/dataset6.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -2173,9 +2504,12 @@ def get_parametrization_cases():
                                 ),
                             ),
                             "data_model:2": DataModelMetadata(
-                                datasets_labels=DatasetsLabels(
-                                    datasets_labels={
-                                        "dataset2": "DATASET2",
+                                datasets_info=DatasetsInfo(
+                                    datasets_info={
+                                        "dataset2": DatasetInfo(
+                                            label="DATASET2",
+                                            csv_path="/opt/data/dataset2.csv",
+                                        ),
                                     }
                                 ),
                                 cdes=CommonDataElements(
@@ -2266,16 +2600,40 @@ def get_parametrization_cases():
                 datasets_locations=DatasetsLocations(
                     datasets_locations={
                         "data_model:1": {
-                            "dataset1": "localworker1",
-                            "dataset2": "localworker1",
-                            "dataset3": "localworker2",
-                            "dataset4": "localworker2",
-                            "dataset5": "localworker3",
-                            "dataset6": "localworker3",
+                            "dataset1": DatasetLocation(
+                                worker_id="localworker1",
+                                csv_path="/opt/data/dataset1.csv",
+                            ),
+                            "dataset2": DatasetLocation(
+                                worker_id="localworker1",
+                                csv_path="/opt/data/dataset2.csv",
+                            ),
+                            "dataset3": DatasetLocation(
+                                worker_id="localworker2",
+                                csv_path="/opt/data/dataset3.csv",
+                            ),
+                            "dataset4": DatasetLocation(
+                                worker_id="localworker2",
+                                csv_path="/opt/data/dataset4.csv",
+                            ),
+                            "dataset5": DatasetLocation(
+                                worker_id="localworker3",
+                                csv_path="/opt/data/dataset5.csv",
+                            ),
+                            "dataset6": DatasetLocation(
+                                worker_id="localworker3",
+                                csv_path="/opt/data/dataset6.csv",
+                            ),
                         },
                         "data_model:2": {
-                            "dataset1": "localworker1",
-                            "dataset2": "localworker3",
+                            "dataset1": DatasetLocation(
+                                worker_id="localworker1",
+                                csv_path="/opt/data/dataset1.csv",
+                            ),
+                            "dataset2": DatasetLocation(
+                                worker_id="localworker3",
+                                csv_path="/opt/data/dataset2.csv",
+                            ),
                         },
                     }
                 ),
@@ -2317,10 +2675,14 @@ def test_data_model_registry_missing_data_model_attributes(worker_landscape_aggr
             "localworker1": DataModelsMetadata(
                 data_models_metadata={
                     "data_model:1": DataModelMetadata(
-                        datasets_labels=DatasetsLabels(
-                            datasets_labels={
-                                "dataset1": "DATASET1",
-                                "dataset2": "DATASET2",
+                        datasets_info=DatasetsInfo(
+                            datasets_info={
+                                "dataset1": DatasetInfo(
+                                    label="DATASET1", csv_path="/opt/data/dataset1.csv"
+                                ),
+                                "dataset2": DatasetInfo(
+                                    label="DATASET2", csv_path="/opt/data/dataset2.csv"
+                                ),
                             }
                         ),
                         cdes=CommonDataElements(
@@ -2342,9 +2704,11 @@ def test_data_model_registry_missing_data_model_attributes(worker_landscape_aggr
                         attributes=None,
                     ),
                     "data_model:2": DataModelMetadata(
-                        datasets_labels=DatasetsLabels(
-                            datasets_labels={
-                                "dataset1": "DATASET1",
+                        datasets_info=DatasetsInfo(
+                            datasets_info={
+                                "dataset1": DatasetInfo(
+                                    label="DATASET1", csv_path="/opt/data/dataset1.csv"
+                                ),
                             }
                         ),
                         cdes=CommonDataElements(
@@ -2372,10 +2736,14 @@ def test_data_model_registry_missing_data_model_attributes(worker_landscape_aggr
             "localworker2": DataModelsMetadata(
                 data_models_metadata={
                     "data_model:1": DataModelMetadata(
-                        datasets_labels=DatasetsLabels(
-                            datasets_labels={
-                                "dataset3": "DATASET3",
-                                "dataset4": "DATASET4",
+                        datasets_info=DatasetsInfo(
+                            datasets_info={
+                                "dataset3": DatasetInfo(
+                                    label="DATASET3", csv_path="/opt/data/dataset3.csv"
+                                ),
+                                "dataset4": DatasetInfo(
+                                    label="DATASET4", csv_path="/opt/data/dataset4.csv"
+                                ),
                             }
                         ),
                         cdes=CommonDataElements(
@@ -2404,10 +2772,14 @@ def test_data_model_registry_missing_data_model_attributes(worker_landscape_aggr
             "localworker3": DataModelsMetadata(
                 data_models_metadata={
                     "data_model:1": DataModelMetadata(
-                        datasets_labels=DatasetsLabels(
-                            datasets_labels={
-                                "dataset5": "DATASET5",
-                                "dataset6": "DATASET6",
+                        datasets_info=DatasetsInfo(
+                            datasets_info={
+                                "dataset5": DatasetInfo(
+                                    label="DATASET5", csv_path="/opt/data/dataset5.csv"
+                                ),
+                                "dataset6": DatasetInfo(
+                                    label="DATASET6", csv_path="/opt/data/dataset6.csv"
+                                ),
                             }
                         ),
                         cdes=CommonDataElements(
@@ -2432,9 +2804,11 @@ def test_data_model_registry_missing_data_model_attributes(worker_landscape_aggr
                         ),
                     ),
                     "data_model:2": DataModelMetadata(
-                        datasets_labels=DatasetsLabels(
-                            datasets_labels={
-                                "dataset2": "DATASET2",
+                        datasets_info=DatasetsInfo(
+                            datasets_info={
+                                "dataset2": DatasetInfo(
+                                    label="DATASET2", csv_path="/opt/data/dataset2.csv"
+                                ),
                             }
                         ),
                         cdes=CommonDataElements(
@@ -2523,14 +2897,26 @@ def test_data_model_registry_missing_data_model_attributes(worker_landscape_aggr
         datasets_locations=DatasetsLocations(
             datasets_locations={
                 "data_model:1": {
-                    "dataset3": "localworker2",
-                    "dataset4": "localworker2",
-                    "dataset5": "localworker3",
-                    "dataset6": "localworker3",
+                    "dataset3": DatasetLocation(
+                        worker_id="localworker2", csv_path="/opt/data/dataset3.csv"
+                    ),
+                    "dataset4": DatasetLocation(
+                        worker_id="localworker2", csv_path="/opt/data/dataset4.csv"
+                    ),
+                    "dataset5": DatasetLocation(
+                        worker_id="localworker3", csv_path="/opt/data/dataset5.csv"
+                    ),
+                    "dataset6": DatasetLocation(
+                        worker_id="localworker3", csv_path="/opt/data/dataset6.csv"
+                    ),
                 },
                 "data_model:2": {
-                    "dataset1": "localworker1",
-                    "dataset2": "localworker3",
+                    "dataset1": DatasetLocation(
+                        worker_id="localworker1", csv_path="/opt/data/dataset1.csv"
+                    ),
+                    "dataset2": DatasetLocation(
+                        worker_id="localworker3", csv_path="/opt/data/dataset2.csv"
+                    ),
                 },
             }
         ),
diff --git a/tests/standalone_tests/worker/worker_info/test_get_datasets_per_data_model.py b/tests/standalone_tests/worker/worker_info/test_get_datasets_per_data_model.py
index 2079e0dad..865296f52 100644
--- a/tests/standalone_tests/worker/worker_info/test_get_datasets_per_data_model.py
+++ b/tests/standalone_tests/worker/worker_info/test_get_datasets_per_data_model.py
@@ -2,6 +2,7 @@
 
 import pytest
 
+from exareme2.worker_communication import DatasetsInfoPerDataModel
 from tests.standalone_tests.conftest import TASKS_TIMEOUT
 from tests.standalone_tests.controller.workers_communication_helper import (
     get_celery_task_signature,
@@ -22,7 +23,7 @@ def setup_data_table_in_db(datasets_per_data_model, cursor):
         cursor.execute(sql_query)
         for dataset_name in datasets_per_data_model[data_model]:
             dataset_id += 1
-            sql_query = f"""INSERT INTO "mipdb_metadata"."datasets" VALUES ({dataset_id}, {data_model_id}, '{dataset_name}', '{label_identifier}', 'ENABLED', null);"""
+            sql_query = f"""INSERT INTO "mipdb_metadata"."datasets" VALUES ({dataset_id}, {data_model_id}, '{dataset_name}', '{label_identifier}', 'ENABLED', '/opt/data/{dataset_name}.csv', null);"""
             cursor.execute(sql_query)
 
 
@@ -94,12 +95,14 @@ def test_get_worker_datasets_per_data_model(
         request_id=request_id,
     )
 
-    datasets_per_data_model = globalworker_celery_app.get_result(
-        async_result=async_result,
-        logger=StdOutputLogger(),
-        timeout=TASKS_TIMEOUT,
+    datasets_info_per_data_model = DatasetsInfoPerDataModel.parse_raw(
+        globalworker_celery_app.get_result(
+            async_result=async_result,
+            logger=StdOutputLogger(),
+            timeout=TASKS_TIMEOUT,
+        )
     )
-
+    datasets_per_data_model = datasets_info_per_data_model.datasets_info_per_data_model
     assert set(datasets_per_data_model.keys()) == set(
         expected_datasets_per_data_model.keys()
     )