Support custom results path

src/lighteval/logging/evaluation_tracker.py

@@ -183,7 +183,7 @@ def save(self) -> None:
             details_datasets[task_name] = dataset
 
         # We save results at every case
-        self.save_results(date_id, results_dict)
+        self.save_results(date_id=date_id, results_dict=results_dict)
 
         if self.should_save_details:
             self.save_details(date_id, details_datasets)
@@ -200,12 +200,19 @@ def save(self) -> None:
                 results=self.metrics_logger.metric_aggregated, details=self.details_logger.compiled_details
             )
 
-    def save_results(self, date_id: str, results_dict: dict):
-        output_dir_results = Path(self.output_dir) / "results" / self.general_config_logger.model_name
-        self.fs.mkdirs(output_dir_results, exist_ok=True)
-        output_results_file = output_dir_results / f"results_{date_id}.json"
-        logger.info(f"Saving results to {output_results_file}")
-        with self.fs.open(output_results_file, "w") as f:
+    def save_results(
+        self, date_id: str | None = None, results_dict: dict | None = None, output_path: str | None = None
+    ):
+        if output_path:
+            fs, output_path = url_to_fs(output_path)
+        else:
+            output_path = (
+                Path(self.output_dir) / "results" / self.general_config_logger.model_name / f"results_{date_id}.json"
+            )
+            fs = self.fs
+        fs.mkdirs(output_path.parent, exist_ok=True)
+        logger.info(f"Saving results to {output_path}")
+        with fs.open(output_path, "w") as f:
             f.write(json.dumps(results_dict, cls=EnhancedJSONEncoder, indent=2, ensure_ascii=False))
 
     def save_details(self, date_id: str, details_datasets: dict[str, Dataset]):