Don't use `get_task_dict()` in task registration / initialization (#1331)

* don't use get_task_dict() as a helper, it will download the dataset!

* pre-commit

* Update README.md

---------
Co-authored-by: lintangsutawika <lintang@eleuther.ai>

README.md

@@ -192,7 +192,7 @@ Note that for externally hosted models, configs such as `--device` and `--batch_
 | Your local inference server!                                                                                              | :heavy_check_mark:                             | `local-completions` or `local-chat-completions` (using `openai-chat-completions` model type)    | Any server address that accepts GET requests using HF models and mirror's OpenAI's ChatCompletions interface                                  | `generate_until`                                           |                                | ...                |
 | `local-completions` (using `openai-completions` model type)    | Any server address that accepts GET requests using HF models and mirror's OpenAI's Completions interface                                  | `generate_until`                                           |                                | ...                                                      |
 
-Models which do not supply logits or logprobs can be used with tasks of type `generate_until` only, while models that are local or APIs that supply logprobs/logits can be run on all task types: `generate_until`, `loglikelihood`, `loglikelihood_rolling`, and `multiple_choice`.
+Models which do not supply logits or logprobs can be used with tasks of type `generate_until` only, while local models, or APIs that supply logprobs/logits of their prompts, can be run on all task types: `generate_until`, `loglikelihood`, `loglikelihood_rolling`, and `multiple_choice`.
 
 For more information on the different task `output_types` and model request types, see [our documentation](https://github.com/EleutherAI/lm-evaluation-harness/blob/main/docs/model_guide.md#interface).
 

lm_eval/tasks/__init__.py

@@ -67,12 +67,12 @@ def register_configurable_group(config: Dict[str, str], yaml_path: str = None) -
         if "task" in task_config:
             task_name = task_config["task"]
             if task_name in ALL_TASKS:
-                task_obj = get_task_dict(task_name)[task_name]
+                task_obj = TASK_REGISTRY[task_name]
                 if type(task_obj) == tuple:
                     _, task_obj = task_obj
 
                 if task_obj is not None:
-                    base_config = task_obj._config.to_dict(keep_callable=True)
+                    base_config = task_obj.CONFIG.to_dict(keep_callable=True)
                     task_name_config["task"] = f"{group}_{task_name}"
 
         task_config = utils.load_yaml_config(yaml_path, task_config)