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714d69a
1
Parent(s):
9dfc3ef
update
Browse files- src/leaderboard/read_evals.py +1 -1
- src/populate.py +1 -0
src/leaderboard/read_evals.py
CHANGED
@@ -157,7 +157,7 @@ def get_request_file_for_model(requests_path, model_name, precision):
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def get_raw_eval_results(results_path: str, requests_path: str) -> list[EvalResult]:
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"""From the path of the results folder root, extract all needed info for results"""
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model_result_filepaths = []
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-
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for root, _, files in os.walk(results_path):
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# We should only have json files in model results
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if len(files) == 0 or any([not f.endswith(".json") for f in files]):
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def get_raw_eval_results(results_path: str, requests_path: str) -> list[EvalResult]:
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"""From the path of the results folder root, extract all needed info for results"""
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model_result_filepaths = []
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+
print(results_path)
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for root, _, files in os.walk(results_path):
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# We should only have json files in model results
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if len(files) == 0 or any([not f.endswith(".json") for f in files]):
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src/populate.py
CHANGED
@@ -11,6 +11,7 @@ from src.leaderboard.read_evals import get_raw_eval_results
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def get_leaderboard_df(results_path: str, requests_path: str, cols: list, benchmark_cols: list) -> pd.DataFrame:
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"""Creates a dataframe from all the individual experiment results"""
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raw_data = get_raw_eval_results(results_path, requests_path)
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all_data_json = [v.to_dict() for v in raw_data]
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df = pd.DataFrame.from_records(all_data_json)
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def get_leaderboard_df(results_path: str, requests_path: str, cols: list, benchmark_cols: list) -> pd.DataFrame:
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"""Creates a dataframe from all the individual experiment results"""
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raw_data = get_raw_eval_results(results_path, requests_path)
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print(raw_data)
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all_data_json = [v.to_dict() for v in raw_data]
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df = pd.DataFrame.from_records(all_data_json)
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