fix token

app.py

@@ -27,66 +27,13 @@ def restart_space():
 
 # Function to load data from a given CSV file
 def baseline_load_data(tasks, task_metrics):
-    # # version = version.replace("%", "p")
-    # file_path = f"submissions/baseline/baseline.csv"  # Replace with your file paths
-    # df = pd.read_csv(file_path)
-
-    # we only want specific columns and in a specific order
-
-    # column_names = [
-    #     "Method",
-    #     "Submitted By",
-    #     "L-NER",
-    #     "RR",
-    #     "CJPE",
-    #     "BAIL",
-    #     "LSI",
-    #     "PCR",
-    #     "SUMM",
-    #     "Average",
-    # ]
-    # # Method,Submitted by,L-NER,RR,CJPE,BAIL,LSI,PCR,SUMM,L-MT
-    # column_names = [
-    #     "Method",
-    #     "Submitted By",
-    #     "L-NER",
-    #     "RR",
-    #     "CJPE",
-    #     "BAIL",
-    #     "LSI",
-    #     "PCR",
-    #     "SUMM",
-    #     # "Average",
-    # ]
-
-    # if tasks is None:
-    #     breakpoint()
-    # # based on the tasks, remove the columns that are not needed
-    # if "L-NER" not in tasks:
-    #     column_names.remove("L-NER")
-    # if "RR" not in tasks:
-    #     column_names.remove("RR")
-    # if "CJPE" not in tasks:
-    #     column_names.remove("CJPE")
-    # if "BAIL" not in tasks:
-    #     column_names.remove("BAIL")
-    # if "LSI" not in tasks:
-    #     column_names.remove("LSI")
-    # if "PCR" not in tasks:
-    #     column_names.remove("PCR")
-    # if "SUMM" not in tasks:
-    #     column_names.remove("SUMM")
-
-    # df = df[column_names]
 
     import json
 
     # load the results json file
     with open("submissions/baseline/results.json") as f:
         results = json.load(f)
-    # add the results to the dataframe
-    # Method,Submitted By,L-NER,RR,CJPE,BAIL,LSI,PCR,SUMM,L-MT
-    # Metric,-,strict mF1,mF1,mF1|ROUGE-L|BLEU,mF1,mF1,muF1@K,ROUGE-L|BERTSCORE,BLEU|GLEU|chrF++
+
     # create a new df to display the results
     results_df = pd.DataFrame(
         columns=[
@@ -124,12 +71,7 @@ def baseline_load_data(tasks, task_metrics):
             ignore_index=True,
         )
 
-    # breakpoint()
-    # add the average column
-    # results_df["Average"] = results_df.mean(axis=1)
-
     df = results_df
-    # df = df.sort_values(by="Average", ascending=False)
     # remove the columns that are not in tasks
     selected_columns = (
         [
@@ -139,7 +81,6 @@ def baseline_load_data(tasks, task_metrics):
         + tasks
         + ["Github Link"]
     )
-    # print(tasks)
     df = df[selected_columns]
 
     df = df.drop_duplicates(subset=["Method"], keep="first")

uploads.py

@@ -125,7 +125,7 @@ def add_new_eval(
     api.upload_file(
         repo_id=LEADERBOARD_PATH,
         # path_in_repo=f"submissions/baseline/baseline.csv",
-        path_in_repo=f"submissions/results.json",
+        path_in_repo=f"submissions/baseline/results.json",
         path_or_fileobj=leaderboard_buffer,
         token=TOKEN,
         repo_type="space",