fix: unify the slug naming

src/benchmarks.py

@@ -55,14 +55,14 @@ def get_benchmarks_enum(benchmark_version: str, task_type: TaskType):
 
 _qa_benchmark_dict = {}
 for version in BENCHMARK_VERSION_LIST:
-    safe_version_name = get_safe_name(version)[-4:]
+    safe_version_name = get_safe_name(version)
     _qa_benchmark_dict[safe_version_name] = Enum(
         f"QABenchmarks_{safe_version_name}", get_benchmarks_enum(version, TaskType.qa)
     )
 
 _doc_benchmark_dict = {}
 for version in BENCHMARK_VERSION_LIST:
-    safe_version_name = get_safe_name(version)[-4:]
+    safe_version_name = get_safe_name(version)
     _doc_benchmark_dict[safe_version_name] = Enum(
         f"LongDocBenchmarks_{safe_version_name}", get_benchmarks_enum(version, TaskType.long_doc)
     )

src/loaders.py

@@ -51,8 +51,7 @@ def load_raw_eval_results(results_path: str) -> List[FullEvalResult]:
 
 
 def load_leaderboard_datastore(file_path, version) -> LeaderboardDataStore:
-    slug = get_safe_name(version)[-4:]
-    ds = LeaderboardDataStore(version, slug, None, None, None, None, None, None, None, None)
+    ds = LeaderboardDataStore(version, get_safe_name(version), None, None, None, None, None, None, None, None)
     ds.raw_data = load_raw_eval_results(file_path)
     print(f"raw data: {len(ds.raw_data)}")
 
@@ -70,9 +69,7 @@ def load_leaderboard_datastore(file_path, version) -> LeaderboardDataStore:
     ds.doc_fmt_df = ds.doc_fmt_df[~ds.doc_fmt_df[COL_NAME_IS_ANONYMOUS]][doc_cols]
     ds.doc_fmt_df.drop([COL_NAME_REVISION, COL_NAME_TIMESTAMP], axis=1, inplace=True)
 
-    ds.reranking_models = sorted(
-        list(frozenset([eval_result.reranking_model for eval_result in ds.raw_data]))
-    )
+    ds.reranking_models = sorted(list(frozenset([eval_result.reranking_model for eval_result in ds.raw_data])))
     return ds
 
 

src/utils.py

@@ -145,13 +145,12 @@ def _update_df_elem(
         reset_ranking: bool = True,
         show_revision_and_timestamp: bool = False,
 ):
-    version_slug = get_safe_name(version)[-4:]
     filtered_df = source_df.copy()
     if not show_anonymous:
         filtered_df = filtered_df[~filtered_df[COL_NAME_IS_ANONYMOUS]]
     filtered_df = filter_models(filtered_df, reranking_query)
     filtered_df = filter_queries(query, filtered_df)
-    filtered_df = select_columns(filtered_df, domains, langs, task, reset_ranking, version_slug)
+    filtered_df = select_columns(filtered_df, domains, langs, task, reset_ranking, get_safe_name(version))
     if not show_revision_and_timestamp:
         filtered_df.drop([COL_NAME_REVISION, COL_NAME_TIMESTAMP], axis=1, inplace=True)
     return filtered_df