Merge branch 'main' into clem_homogeneize_generation_params

community_tasks/_template.py

@@ -116,10 +116,3 @@ def __init__(
     sample_level_fn=lambda x: x,  # how to compute score for one sample
     corpus_level_fn=np.mean,  # aggregation
 )
-
-# MODULE LOGIC
-# You should not need to touch this
-# Convert to dict for lighteval
-if __name__ == "__main__":
-    print(t.name for t in TASKS_TABLE)
-    print(len(TASKS_TABLE))

community_tasks/aimo_evals.py

@@ -56,11 +56,3 @@ def aimo_prompt(line, task_name: str = None):
 
 # STORE YOUR EVALS
 TASKS_TABLE = [task]
-
-
-# MODULE LOGIC
-# You should not need to touch this
-
-if __name__ == "__main__":
-    print(t.name for t in TASKS_TABLE)
-    print(len(TASKS_TABLE))

community_tasks/arabic_evals.py

@@ -856,7 +856,3 @@ def __init__(
     + [toxigen_ar_task]
     + [sciq_ar_task]
 )
-
-if __name__ == "__main__":
-    print(t.name for t in TASKS_TABLE)
-    print(len(TASKS_TABLE))

community_tasks/german_rag_evals.py

@@ -221,11 +221,3 @@ def prompt_fn_context_question_match(line, task_name: str = None):
 
 # STORE YOUR EVALS
 TASKS_TABLE = [task1, task2, task3, task4]
-
-
-# MODULE LOGIC
-# You should not need to touch this
-
-if __name__ == "__main__":
-    print(t.name for t in TASKS_TABLE)
-    print(len(TASKS_TABLE))

community_tasks/oz_evals.py

@@ -87,8 +87,3 @@ def prompt_fn_oz_eval_task(line, task_name: str = None):
 
 # STORE YOUR EVALS
 TASKS_TABLE = [oz_eval_task]
-
-
-if __name__ == "__main__":
-    print(t["name"] for t in TASKS_TABLE)
-    print(len(TASKS_TABLE))

community_tasks/serbian_eval.py

@@ -784,7 +784,3 @@ def create_task_config(
     mmlu_world_religions,
     mmlu_all,
 ]
-
-if __name__ == "__main__":
-    print(t.name for t in TASKS_TABLE)
-    print(len(TASKS_TABLE))

docs/source/adding-a-custom-task.mdx

@@ -167,17 +167,6 @@ TASKS_TABLE = SUBSET_TASKS
 # TASKS_TABLE = [task]
 ```
 
-Finally, you need to add a module logic to convert your task to a dict for lighteval.
-
-```python
-# MODULE LOGIC
-# You should not need to touch this
-# Convert to dict for lighteval
-if __name__ == "__main__":
-    print(t.name for t in TASKS_TABLE)
-    print(len(TASKS_TABLE))
-```
-
 Once your file is created you can then run the evaluation with the following command:
 
 ```bash

docs/source/using-the-python-api.mdx

@@ -11,7 +11,7 @@ After that, simply run the pipeline and save the results.
 ```python
 import lighteval
 from lighteval.logging.evaluation_tracker import EvaluationTracker
-from lighteval.models.model_config import VLLMModelConfig
+from lighteval.models.vllm.vllm_model import VLLMModelConfig
 from lighteval.pipeline import ParallelismManager, Pipeline, PipelineParameters
 from lighteval.utils.utils import EnvConfig
 from lighteval.utils.imports import is_accelerate_available

examples/nanotron/custom_evaluation_tasks.py

@@ -671,7 +671,3 @@ def __init__(
     "all": ",".join(t[1] for t in _TASKS_STRINGS),
     "early-signal": EARLY_SIGNAL_TASKS,
 }
-
-if __name__ == "__main__":
-    print(t["name"] for t in TASKS_TABLE)
-    print(len(TASKS_TABLE))

src/lighteval/tasks/extended/ifeval/main.py

@@ -160,8 +160,3 @@ def agg_inst_level_acc(items):
 TASKS_TABLE = [ifeval]
 
 extend_enum(Metrics, "ifeval_metric", ifeval_metrics)
-
-if __name__ == "__main__":
-    # Adds the metric to the metric list!
-    print(t["name"] for t in TASKS_TABLE)
-    print(len(TASKS_TABLE))

src/lighteval/tasks/extended/mix_eval/main.py

@@ -228,8 +228,3 @@ def mean_dv_5(x):
 
 
 TASKS_TABLE = [mixeval_multichoice_easy, mixeval_freeform_easy, mixeval_multichoice_hard, mixeval_freeform_hard]
-
-if __name__ == "__main__":
-    # Adds the metric to the metric list!
-    print(t["name"] for t in TASKS_TABLE)
-    print(len(TASKS_TABLE))

src/lighteval/tasks/extended/mt_bench/main.py

@@ -95,7 +95,3 @@ def flow_judge_mt_bench_prompt(question, answer, options, gold):
 
 
 TASKS_TABLE = [task]
-
-if __name__ == "__main__":
-    print(t["name"] for t in TASKS_TABLE)
-    print(len(TASKS_TABLE))

src/lighteval/tasks/extended/tiny_benchmarks/main.py

@@ -283,11 +283,3 @@ def aggregate(self, y_input):
             corpus_level_fn=TinyCorpusAggregator(name).aggregate,
         ),
     )
-
-
-# MODULE LOGIC
-# You should not need to touch this
-# Convert to dict for lighteval
-if __name__ == "__main__":
-    print(t["name"] for t in TASKS_TABLE)
-    print(len(TASKS_TABLE))