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on
CPU Upgrade
Update
Browse files- src/populate.py +2 -2
src/populate.py
CHANGED
@@ -22,7 +22,7 @@ COLUMNS_TO_NORMALIZE = [
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]
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def get_leaderboard_df(contents_repo: str, cols: list, benchmark_cols: list) -> pd.DataFrame:
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df = datasets.load_dataset(contents_repo, split="train").to_pandas()
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df["Model"] = df["model"].map(make_clickable_model)
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df["T"] = df["model_type"].map(lambda x: x.split(":")[0].strip())
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@@ -61,7 +61,7 @@ def get_leaderboard_df(contents_repo: str, cols: list, benchmark_cols: list) ->
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return df
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def get_evaluation_queue_df(save_path: str, cols: list) -> list[pd.DataFrame]:
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"""Creates the different dataframes for the evaluation queues requestes"""
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entries = [entry for entry in os.listdir(save_path) if not entry.startswith(".")]
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all_evals = []
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]
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def get_leaderboard_df(contents_repo: str, cols: list[str], benchmark_cols: list[str]) -> pd.DataFrame:
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df = datasets.load_dataset(contents_repo, split="train").to_pandas()
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df["Model"] = df["model"].map(make_clickable_model)
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df["T"] = df["model_type"].map(lambda x: x.split(":")[0].strip())
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return df
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+
def get_evaluation_queue_df(save_path: str, cols: list[str]) -> list[pd.DataFrame]:
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"""Creates the different dataframes for the evaluation queues requestes"""
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entries = [entry for entry in os.listdir(save_path) if not entry.startswith(".")]
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all_evals = []
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