Spaces:
Running
on
CPU Upgrade
Running
on
CPU Upgrade
Clémentine
commited on
Commit
•
58860b6
1
Parent(s):
fe64417
remove verification on items numbers to avoid NonMatchingSplitsSizesError
Browse files
app.py
CHANGED
@@ -30,7 +30,7 @@ YEAR_VERSION = "2023"
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os.makedirs("scored", exist_ok=True)
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# Display the results
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-
eval_results = load_dataset(RESULTS_DATASET, YEAR_VERSION, token=TOKEN, download_mode="force_redownload")
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def get_dataframe_from_results(eval_results, split):
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local_df = eval_results[split]
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local_df = local_df.map(lambda row: {"model": model_hyperlink(row["url"], row["model"])})
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@@ -151,7 +151,7 @@ def add_new_eval(
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def refresh():
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eval_results = load_dataset(RESULTS_DATASET, YEAR_VERSION, token=TOKEN, download_mode="force_redownload")
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eval_dataframe_val = get_dataframe_from_results(eval_results=eval_results, split="validation")
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eval_dataframe_test = get_dataframe_from_results(eval_results=eval_results, split="test")
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return eval_dataframe_val, eval_dataframe_test
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os.makedirs("scored", exist_ok=True)
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# Display the results
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eval_results = load_dataset(RESULTS_DATASET, YEAR_VERSION, token=TOKEN, download_mode="force_redownload", ignore_verifications=True)
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def get_dataframe_from_results(eval_results, split):
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local_df = eval_results[split]
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local_df = local_df.map(lambda row: {"model": model_hyperlink(row["url"], row["model"])})
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def refresh():
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eval_results = load_dataset(RESULTS_DATASET, YEAR_VERSION, token=TOKEN, download_mode="force_redownload", ignore_verifications=True)
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eval_dataframe_val = get_dataframe_from_results(eval_results=eval_results, split="validation")
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eval_dataframe_test = get_dataframe_from_results(eval_results=eval_results, split="test")
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return eval_dataframe_val, eval_dataframe_test
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