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Running
on
CPU Upgrade
feat-add-toggle-button-for-revision-col-0514 (#3)
Browse files- feat: add the toggle checkbox (ea7f641055b8b1920e6b13455ec5d3f48cef3a64)
- feat: add toggle checkbox for qa (fff686a88e3ddf8a1c85a594b174dfa51b97725f)
- feat: add toggle checkbox for long-doc (4ab9cec62b148e8ef70ac23e8205477d47d34a14)
- app.py +60 -33
- src/utils.py +19 -10
app.py
CHANGED
@@ -11,7 +11,7 @@ from src.about import (
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from src.benchmarks import DOMAIN_COLS_QA, LANG_COLS_QA, DOMAIN_COLS_LONG_DOC, LANG_COLS_LONG_DOC, METRIC_LIST, \
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DEFAULT_METRIC
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from src.display.css_html_js import custom_css
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-
from src.display.utils import COL_NAME_IS_ANONYMOUS
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from src.envs import API, EVAL_RESULTS_PATH, REPO_ID, RESULTS_REPO, TOKEN
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from src.read_evals import get_raw_eval_results, get_leaderboard_df
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from src.utils import update_table, update_metric, update_table_long_doc, upload_file, get_default_cols, submit_results
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@@ -45,11 +45,13 @@ leaderboard_df_qa = original_df_qa.copy()
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shown_columns_qa, types_qa = get_default_cols(
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'qa', leaderboard_df_qa.columns, add_fix_cols=True)
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leaderboard_df_qa = leaderboard_df_qa[~leaderboard_df_qa[COL_NAME_IS_ANONYMOUS]][shown_columns_qa]
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leaderboard_df_long_doc = original_df_long_doc.copy()
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shown_columns_long_doc, types_long_doc = get_default_cols(
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'long-doc', leaderboard_df_long_doc.columns, add_fix_cols=True)
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leaderboard_df_long_doc = leaderboard_df_long_doc[~leaderboard_df_long_doc[COL_NAME_IS_ANONYMOUS]][shown_columns_long_doc]
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def update_metric_qa(
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@@ -58,9 +60,10 @@ def update_metric_qa(
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langs: list,
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reranking_model: list,
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query: str,
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-
show_anonymous: bool
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):
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return update_metric(raw_data, 'qa', metric, domains, langs, reranking_model, query, show_anonymous)
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def update_metric_long_doc(
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@@ -69,9 +72,10 @@ def update_metric_long_doc(
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langs: list,
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reranking_model: list,
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query: str,
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-
show_anonymous: bool
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):
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return update_metric(raw_data, "long-doc", metric, domains, langs, reranking_model, query, show_anonymous)
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def update_table_without_ranking(
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@@ -80,9 +84,10 @@ def update_table_without_ranking(
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langs,
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reranking_query,
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query,
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-
show_anonymous
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):
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return update_table(hidden_df, domains, langs, reranking_query, query, show_anonymous, reset_ranking=False)
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def update_table_without_ranking_long_doc(
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@@ -91,9 +96,10 @@ def update_table_without_ranking_long_doc(
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langs,
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reranking_query,
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query,
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show_anonymous
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):
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return update_table_long_doc(hidden_df, domains, langs, reranking_query, query, show_anonymous, reset_ranking=False)
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demo = gr.Blocks(css=custom_css)
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@@ -157,6 +163,12 @@ with demo:
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value=False,
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info="The anonymous submissions might have invalid model information."
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)
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leaderboard_table = gr.components.Dataframe(
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value=leaderboard_df_qa,
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@@ -187,18 +199,21 @@ with demo:
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leaderboard_table,
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)
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-
selected_rerankings
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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# Set column-wise listener
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for selector in [
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@@ -288,6 +303,12 @@ with demo:
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value=False,
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info="The anonymous submissions might have invalid model information."
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)
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leaderboard_table_long_doc = gr.components.Dataframe(
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value=leaderboard_df_long_doc,
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@@ -314,22 +335,26 @@ with demo:
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selected_rerankings,
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search_bar,
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show_anonymous,
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],
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leaderboard_table_long_doc,
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)
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-
selected_rerankings
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-
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-
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-
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-
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# Set column-wise listener
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for selector in [
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@@ -344,6 +369,7 @@ with demo:
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selected_rerankings,
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search_bar,
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show_anonymous,
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],
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leaderboard_table_long_doc,
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queue=True,
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@@ -359,6 +385,7 @@ with demo:
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selected_rerankings,
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search_bar,
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show_anonymous,
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],
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leaderboard_table_long_doc,
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queue=True
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from src.benchmarks import DOMAIN_COLS_QA, LANG_COLS_QA, DOMAIN_COLS_LONG_DOC, LANG_COLS_LONG_DOC, METRIC_LIST, \
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DEFAULT_METRIC
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from src.display.css_html_js import custom_css
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+
from src.display.utils import COL_NAME_IS_ANONYMOUS, COL_NAME_REVISION, COL_NAME_TIMESTAMP
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from src.envs import API, EVAL_RESULTS_PATH, REPO_ID, RESULTS_REPO, TOKEN
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from src.read_evals import get_raw_eval_results, get_leaderboard_df
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from src.utils import update_table, update_metric, update_table_long_doc, upload_file, get_default_cols, submit_results
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shown_columns_qa, types_qa = get_default_cols(
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'qa', leaderboard_df_qa.columns, add_fix_cols=True)
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leaderboard_df_qa = leaderboard_df_qa[~leaderboard_df_qa[COL_NAME_IS_ANONYMOUS]][shown_columns_qa]
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+
leaderboard_df_qa.drop([COL_NAME_REVISION, COL_NAME_TIMESTAMP], axis=1, inplace=True)
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leaderboard_df_long_doc = original_df_long_doc.copy()
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shown_columns_long_doc, types_long_doc = get_default_cols(
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'long-doc', leaderboard_df_long_doc.columns, add_fix_cols=True)
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leaderboard_df_long_doc = leaderboard_df_long_doc[~leaderboard_df_long_doc[COL_NAME_IS_ANONYMOUS]][shown_columns_long_doc]
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+
leaderboard_df_long_doc.drop([COL_NAME_REVISION, COL_NAME_TIMESTAMP], axis=1, inplace=True)
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def update_metric_qa(
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langs: list,
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reranking_model: list,
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query: str,
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show_anonymous: bool,
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show_revision_and_timestamp,
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):
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return update_metric(raw_data, 'qa', metric, domains, langs, reranking_model, query, show_anonymous, show_revision_and_timestamp)
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def update_metric_long_doc(
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langs: list,
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reranking_model: list,
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query: str,
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show_anonymous: bool,
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show_revision_and_timestamp,
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):
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return update_metric(raw_data, "long-doc", metric, domains, langs, reranking_model, query, show_anonymous, show_revision_and_timestamp)
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def update_table_without_ranking(
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langs,
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reranking_query,
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query,
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show_anonymous,
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show_revision_and_timestamp,
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):
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return update_table(hidden_df, domains, langs, reranking_query, query, show_anonymous, reset_ranking=False, show_revision_and_timestamp=show_revision_and_timestamp)
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def update_table_without_ranking_long_doc(
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langs,
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reranking_query,
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query,
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show_anonymous,
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show_revision_and_timestamp,
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):
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return update_table_long_doc(hidden_df, domains, langs, reranking_query, query, show_anonymous, reset_ranking=False, show_revision_and_timestamp=show_revision_and_timestamp)
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demo = gr.Blocks(css=custom_css)
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value=False,
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info="The anonymous submissions might have invalid model information."
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)
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with gr.Row():
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show_revision_and_timestamp = gr.Checkbox(
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label="Show submission details",
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value=False,
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info="Show the revision and timestamp information of submissions"
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)
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leaderboard_table = gr.components.Dataframe(
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value=leaderboard_df_qa,
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leaderboard_table,
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)
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for selector in [show_revision_and_timestamp, selected_rerankings]:
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selector.change(
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update_table_without_ranking,
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[
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hidden_leaderboard_table_for_search,
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selected_domains,
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+
selected_langs,
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selected_rerankings,
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search_bar,
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show_anonymous,
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show_revision_and_timestamp
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],
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leaderboard_table,
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queue=True
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)
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# Set column-wise listener
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for selector in [
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value=False,
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info="The anonymous submissions might have invalid model information."
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)
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with gr.Row():
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show_revision_and_timestamp = gr.Checkbox(
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label="Show submission details",
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value=False,
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info="Show the revision and timestamp information of submissions"
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)
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leaderboard_table_long_doc = gr.components.Dataframe(
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value=leaderboard_df_long_doc,
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selected_rerankings,
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search_bar,
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show_anonymous,
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+
show_revision_and_timestamp
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],
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leaderboard_table_long_doc,
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)
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for selector in [show_revision_and_timestamp, selected_rerankings]:
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selector.change(
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update_table_without_ranking_long_doc,
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[
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hidden_leaderboard_table_for_search,
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+
selected_domains,
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+
selected_langs,
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+
selected_rerankings,
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+
search_bar,
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+
show_anonymous,
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+
show_revision_and_timestamp
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],
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leaderboard_table_long_doc,
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queue=True,
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)
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# Set column-wise listener
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for selector in [
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selected_rerankings,
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search_bar,
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show_anonymous,
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+
show_revision_and_timestamp
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],
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leaderboard_table_long_doc,
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queue=True,
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selected_rerankings,
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search_bar,
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show_anonymous,
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+
show_revision_and_timestamp
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],
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leaderboard_table_long_doc,
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queue=True
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src/utils.py
CHANGED
@@ -9,7 +9,7 @@ import pandas as pd
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from src.benchmarks import BENCHMARK_COLS_QA, BENCHMARK_COLS_LONG_DOC, BenchmarksQA, BenchmarksLongDoc
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from src.display.formatting import styled_message, styled_error
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from src.display.utils import COLS_QA, TYPES_QA, COLS_LONG_DOC, TYPES_LONG_DOC, COL_NAME_RANK, COL_NAME_AVG, \
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-
COL_NAME_RERANKING_MODEL, COL_NAME_RETRIEVAL_MODEL, COL_NAME_IS_ANONYMOUS, get_default_auto_eval_column_dict
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from src.envs import API, SEARCH_RESULTS_REPO
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from src.read_evals import FullEvalResult, get_leaderboard_df, calculate_mean
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@@ -130,14 +130,18 @@ def _update_table(
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reranking_query: list,
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query: str,
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show_anonymous: bool,
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-
reset_ranking: bool = True
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):
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filtered_df = hidden_df.copy()
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if not show_anonymous:
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filtered_df = filtered_df[~filtered_df[COL_NAME_IS_ANONYMOUS]]
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filtered_df = filter_models(filtered_df, reranking_query)
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filtered_df = filter_queries(query, filtered_df)
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-
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def update_table(
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@@ -147,10 +151,11 @@ def update_table(
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reranking_query: list,
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query: str,
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show_anonymous: bool,
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-
reset_ranking: bool = True
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):
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return _update_table(
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-
"qa", hidden_df, domains, langs, reranking_query, query, show_anonymous, reset_ranking)
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def update_table_long_doc(
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@@ -160,10 +165,11 @@ def update_table_long_doc(
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reranking_query: list,
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query: str,
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show_anonymous: bool,
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-
reset_ranking: bool = True
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):
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return _update_table(
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-
"long-doc", hidden_df, domains, langs, reranking_query, query, show_anonymous, reset_ranking)
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def update_metric(
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@@ -174,7 +180,8 @@ def update_metric(
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langs: list,
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reranking_model: list,
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query: str,
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-
show_anonymous: bool = False
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) -> pd.DataFrame:
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if task == 'qa':
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leaderboard_df = get_leaderboard_df(raw_data, task=task, metric=metric)
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@@ -184,7 +191,8 @@ def update_metric(
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langs,
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reranking_model,
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query,
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-
show_anonymous
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)
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elif task == "long-doc":
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leaderboard_df = get_leaderboard_df(raw_data, task=task, metric=metric)
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@@ -194,7 +202,8 @@ def update_metric(
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langs,
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reranking_model,
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query,
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-
show_anonymous
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)
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from src.benchmarks import BENCHMARK_COLS_QA, BENCHMARK_COLS_LONG_DOC, BenchmarksQA, BenchmarksLongDoc
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from src.display.formatting import styled_message, styled_error
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from src.display.utils import COLS_QA, TYPES_QA, COLS_LONG_DOC, TYPES_LONG_DOC, COL_NAME_RANK, COL_NAME_AVG, \
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+
COL_NAME_RERANKING_MODEL, COL_NAME_RETRIEVAL_MODEL, COL_NAME_IS_ANONYMOUS, COL_NAME_TIMESTAMP, COL_NAME_REVISION, get_default_auto_eval_column_dict
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from src.envs import API, SEARCH_RESULTS_REPO
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from src.read_evals import FullEvalResult, get_leaderboard_df, calculate_mean
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reranking_query: list,
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query: str,
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show_anonymous: bool,
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+
reset_ranking: bool = True,
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+
show_revision_and_timestamp: bool = False
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):
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filtered_df = hidden_df.copy()
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if not show_anonymous:
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filtered_df = filtered_df[~filtered_df[COL_NAME_IS_ANONYMOUS]]
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filtered_df = filter_models(filtered_df, reranking_query)
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filtered_df = filter_queries(query, filtered_df)
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+
filtered_df = select_columns(filtered_df, domains, langs, task, reset_ranking)
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+
if not show_revision_and_timestamp:
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+
filtered_df.drop([COL_NAME_REVISION, COL_NAME_TIMESTAMP], axis=1, inplace=True)
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+
return filtered_df
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147 |
def update_table(
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reranking_query: list,
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query: str,
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153 |
show_anonymous: bool,
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+
reset_ranking: bool = True,
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+
show_revision_and_timestamp: bool = False
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):
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return _update_table(
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+
"qa", hidden_df, domains, langs, reranking_query, query, show_anonymous, reset_ranking, show_revision_and_timestamp)
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def update_table_long_doc(
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reranking_query: list,
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query: str,
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show_anonymous: bool,
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+
reset_ranking: bool = True,
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+
show_revision_and_timestamp: bool = False
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):
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return _update_table(
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+
"long-doc", hidden_df, domains, langs, reranking_query, query, show_anonymous, reset_ranking, show_revision_and_timestamp)
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def update_metric(
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langs: list,
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reranking_model: list,
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query: str,
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+
show_anonymous: bool = False,
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+
show_revision_and_timestamp: bool = False,
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) -> pd.DataFrame:
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186 |
if task == 'qa':
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187 |
leaderboard_df = get_leaderboard_df(raw_data, task=task, metric=metric)
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langs,
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reranking_model,
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query,
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+
show_anonymous,
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+
show_revision_and_timestamp
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)
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elif task == "long-doc":
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leaderboard_df = get_leaderboard_df(raw_data, task=task, metric=metric)
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langs,
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reranking_model,
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query,
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+
show_anonymous,
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+
show_revision_and_timestamp
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)
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