fix: use top-level direct imports where possible, inline only where circular

Move imports from mteb.get_tasks, mteb.models.get_model_meta, and
mteb.benchmarks.get_benchmark to top-level in files where it doesn't
cause circular dependencies (abs_encoder, cache, deprecated_evaluator).
Keep inline imports only in task_metadata.py and task_result.py where
circular dependency chains make top-level imports impossible.
Replace `import mteb` with direct submodule imports throughout.

Author: fzoll

mteb/abstasks/task_metadata.py

@@ -587,11 +587,10 @@ def _create_dataset_card_data(
             multilinguality = "translated"
 
         if self.adapted_from is not None:
-            import mteb
+            from mteb.get_tasks import get_tasks
 
             source_datasets = [
-                task.metadata.dataset["path"]
-                for task in mteb.get_tasks(self.adapted_from)
+                task.metadata.dataset["path"] for task in get_tasks(self.adapted_from)
             ]
             source_datasets.append(self.dataset["path"])
         else:

mteb/cache.py

@@ -19,7 +19,9 @@
 from mteb._helpful_enum import HelpfulStrEnum
 from mteb.abstasks import AbsTask
 from mteb.benchmarks.benchmark import Benchmark
+from mteb.benchmarks.get_benchmark import get_benchmark
 from mteb.models import ModelMeta
+from mteb.models.get_model_meta import get_model_metas
 from mteb.models.model_meta import _serialize_experiment_kwargs_to_name
 from mteb.results import BenchmarkResults, ModelResult, TaskResult
 
@@ -545,11 +547,9 @@ def _rebuild_from_full_repository(self, quick_cache_path: Path) -> BenchmarkResu
         # Download or update the full repository
         self.download_from_remote()
 
-        import mteb
-
         all_model_names = [
             model_meta.name
-            for model_meta in mteb.get_model_metas()
+            for model_meta in get_model_metas()
             if model_meta.name is not None
         ]
 
@@ -862,9 +862,7 @@ def load_results(
             ... )
         """
         if isinstance(tasks, str):
-            import mteb
-
-            tasks = mteb.get_benchmark(tasks)
+            tasks = get_benchmark(tasks)
 
         if isinstance(load_experiments, str):
             load_experiments = LoadExperimentEnum.from_str(load_experiments)

mteb/deprecated_evaluator.py

@@ -17,6 +17,7 @@
 
 from mteb.abstasks import AbsTask
 from mteb.benchmarks import Benchmark
+from mteb.get_tasks import get_tasks
 from mteb.models import (
     CrossEncoderWrapper,
     ModelMeta,
@@ -155,8 +156,6 @@ def mteb_benchmarks(self):
     @classmethod
     def mteb_tasks(cls):
         """Get all tasks available in the MTEB."""
-        from mteb.get_tasks import get_tasks
-
         tasks = get_tasks()
         instance = cls(tasks)
         instance._display_tasks(tasks, name="MTEB tasks")

mteb/models/abs_encoder.py

@@ -6,6 +6,7 @@
 from typing import TYPE_CHECKING, Any, Literal, cast, get_args, overload
 
 from mteb.abstasks.task_metadata import TaskType
+from mteb.get_tasks import get_task
 from mteb.similarity_functions import (
     cos_sim,
     dot_score,
@@ -165,8 +166,6 @@ def validate_task_to_prompt_name(
 
             if task_name not in task_types and task_name not in prompt_types:
                 try:
-                    from mteb.get_tasks import get_task
-
                     get_task(task_name=task_name)
                 except KeyError:
                     msg = f"Task name {task_name} is not valid. {valid_keys_msg}"
@@ -225,8 +224,6 @@ def get_instruction(
         if prompt:
             return prompt
 
-        from mteb.get_tasks import get_task
-
         abstask = get_task(task_name=task_metadata.name)
         return abstask.abstask_prompt