Update README.md

README.md

@@ -4,10 +4,10 @@ emoji: 🐨
 colorFrom: purple
 colorTo: blue
 sdk: gradio
-sdk_version: 4.38.1
+sdk_version: 4.19.2
 app_file: app.py
 pinned: false
 license: mit
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -17,7 +17,7 @@ from content import format_error, format_warning, format_log, TITLE, INTRODUCTIO
 
 TOKEN = os.environ.get("TOKEN", None)
 OWNER="ucla-contextual"
-TEST_DATASET = f"{OWNER}/contextual_test"
+ALL_DATASET = f"{OWNER}/contextual_all"
 VAL_DATASET = f"{OWNER}/contextual_val"
 SUBMISSION_DATASET = f"{OWNER}/submissions_internal"
 CONTACT_DATASET = f"{OWNER}/contact_info"
@@ -38,13 +38,13 @@ def save_json_file(filepath, data_dict):
                                 
 os.makedirs("scored", exist_ok=True)
 
-test_data_files = {"test": "contextual_test.csv"}
-test_dataset = load_dataset(TEST_DATASET, data_files=test_data_files , token=TOKEN, download_mode="force_redownload", ignore_verifications=True)
+all_data_files = {"overall": "contextual_all.csv"}
+all_dataset = load_dataset(ALL_DATASET, data_files=all_data_files , token=TOKEN, download_mode="force_redownload", ignore_verifications=True)
 
 val_data_files = {"val": "contextual_val.csv"}
 val_dataset = load_dataset(VAL_DATASET, data_files=val_data_files , token=TOKEN, download_mode="force_redownload", ignore_verifications=True)
 
-results_data_files = {"test": "contextual_test_results.csv", "val": "contextual_val_results.csv"}
+results_data_files = {"overall": "contextual_all_results.csv", "val": "contextual_val_results.csv"}
 results = load_dataset(RESULTS_DATASET, data_files=
 results_data_files, token=TOKEN, download_mode="force_redownload", ignore_verifications=True)
 
@@ -57,13 +57,13 @@ def get_dataframe_from_results(results, split):
     df = df.sort_values(by=["All"], ascending=False)
     return df
 
-test_dataset_dataframe = test_dataset["test"].to_pandas()
+all_dataset_dataframe = all_dataset["overall"].to_pandas()
 val_dataset_dataframe = val_dataset["val"].to_pandas()
 
 contacts_dataframe = contact_infos["contacts"].to_pandas()
 
 val_results_dataframe = get_dataframe_from_results(results=results, split="val")
-test_results_dataframe = get_dataframe_from_results(results=results, split="test")
+all_results_dataframe = get_dataframe_from_results(results=results, split="overall")
 
 def restart_space():
     api.restart_space(repo_id=LEADERBOARD_PATH, token=TOKEN)
@@ -197,12 +197,12 @@ def add_new_eval(
 
 
 def refresh():
-    results_data_files = {"test": "contextual_test_results.csv", "val": "contextual_val_results.csv"}
+    results_data_files = {"overall": "contextual_all_results.csv", "val": "contextual_val_results.csv"}
     results = load_dataset(RESULTS_DATASET, data_files=
     results_data_files, token=TOKEN, download_mode="force_redownload", ignore_verifications=True)
     val_results_dataframe = get_dataframe_from_results(results=results, split="val")
-    test_results_dataframe = get_dataframe_from_results(results=results, split="test")
-    return val_results_dataframe, test_results_dataframe
+    all_results_dataframe = get_dataframe_from_results(results=results, split="overall")
+    return val_results_dataframe, all_results_dataframe
 
 def upload_file(files):
     file_paths = [file.name for file in files]
@@ -230,8 +230,8 @@ with demo:
                 elem_id="citation-button",
             ) 
     with gr.Tab("Results: Test"):
-        leaderboard_table_test = gr.components.Dataframe(
-            value=test_results_dataframe, datatype=TYPES, interactive=False,
+        leaderboard_table_all = gr.components.Dataframe(
+            value=all_results_dataframe, datatype=TYPES, interactive=False,
             column_widths=["20%"] 
         )
     with gr.Tab("Results: Val"):
@@ -246,7 +246,7 @@ with demo:
         inputs=[],
         outputs=[
             leaderboard_table_val,
-            leaderboard_table_test,
+            leaderboard_table_all,
         ],
     )
     with gr.Accordion("Submit a new model for evaluation"):

content.py

@@ -15,10 +15,10 @@ ConTextual comprises **506 examples covering 8 real-world visual scenarios** - *
 ### Data Access
 ConTextual data can be found on HuggingFace and GitHub.
 - HuggingFace
-    - [Test](https://huggingface.co/datasets/ucla-contextual/contextual_test)
+    - [Test](https://huggingface.co/datasets/ucla-contextual/contextual_all)
     - [Val](https://huggingface.co/datasets/ucla-contextual/contextual_val)
 - Github
-    - [Test](https://github.com/rohan598/ConTextual/blob/main/data/contextual_test.csv)
+    - [Test](https://github.com/rohan598/ConTextual/blob/main/data/contextual_all.csv)
     - [Val](https://github.com/rohan598/ConTextual/blob/main/data/contextual_val.csv)
 
 ### Data Format