fix: Add adapted_from to Cmedqaretrieval

docs/adding_a_dataset.md

@@ -100,7 +100,6 @@ class VGClustering(AbsTaskClustering):
             "revision": "d4c5a8ba10ae71224752c727094ac4c46947fa29",
         },
         date=("2012-01-01", "2020-01-01"),
-        form="Written",
         domains=["Academic", "Non-fiction"],
         task_subtypes=["Scientific Reranking"],
         license="cc-by-nc-4.0",

mteb/models/overview.py

@@ -38,6 +38,7 @@
     e5_v,
     evaclip_models,
     fa_models,
+    geogpt_models,
     gme_v_models,
     google_models,
     gritlm_models,
@@ -91,7 +92,6 @@
     voyage_models,
     voyage_v,
     xyz_models,
-    geogpt_models,
 )
 
 logger = logging.getLogger(__name__)

mteb/tasks/Clustering/deu/BlurbsClusteringP2P.py

@@ -25,7 +25,6 @@ class BlurbsClusteringP2P(AbsTaskClustering):
         eval_langs=["deu-Latn"],
         main_score="v_measure",
         date=None,
-        form=None,
         domains=["Written"],
         task_subtypes=None,
         license=None,

mteb/tasks/Clustering/deu/BlurbsClusteringS2S.py

@@ -33,7 +33,6 @@ class BlurbsClusteringS2S(AbsTaskClustering):
         eval_langs=["deu-Latn"],
         main_score="v_measure",
         date=None,
-        form=None,
         domains=["Written"],
         task_subtypes=None,
         license=None,

mteb/tasks/Clustering/deu/TenKGnadClusteringS2S.py

@@ -23,7 +23,6 @@ class TenKGnadClusteringS2S(AbsTaskClustering):
         eval_langs=["deu-Latn"],
         main_score="v_measure",
         date=None,
-        form=None,
         domains=["News", "Non-fiction", "Written"],
         task_subtypes=["Topic classification"],
         license=None,

mteb/tasks/Clustering/fra/AlloProfClusteringP2P.py

@@ -31,7 +31,6 @@ class AlloProfClusteringP2P(AbsTaskClustering):
         eval_langs=["fra-Latn"],
         main_score="v_measure",
         date=("1996-01-01", "2023-04-14"),
-        form=None,
         domains=["Encyclopaedic", "Written"],
         task_subtypes=["Thematic clustering"],
         license="mit",

mteb/tasks/Clustering/fra/AlloProfClusteringS2S.py

@@ -31,7 +31,6 @@ class AlloProfClusteringS2S(AbsTaskClustering):
         eval_langs=["fra-Latn"],
         main_score="v_measure",
         date=("1996-01-01", "2023-04-14"),
-        form=None,
         domains=["Encyclopaedic", "Written"],
         task_subtypes=["Thematic clustering"],
         license="mit",

mteb/tasks/Clustering/fra/HALClusteringS2S.py

@@ -33,7 +33,6 @@ class HALClusteringS2S(AbsTaskClustering):
         eval_langs=["fra-Latn"],
         main_score="v_measure",
         date=("2000-03-29", "2024-05-24"),
-        form=None,
         domains=["Academic", "Written"],
         task_subtypes=["Thematic clustering"],
         license="apache-2.0",

mteb/tasks/Clustering/zho/CMTEBClustering.py

@@ -149,7 +149,6 @@ class CLSClusteringS2S(AbsTaskClustering):
         eval_langs=["cmn-Hans"],
         main_score="v_measure",
         date=None,
-        form=None,
         domains=None,
         task_subtypes=None,
         license=None,
@@ -185,7 +184,6 @@ class CLSClusteringP2P(AbsTaskClustering):
         eval_langs=["cmn-Hans"],
         main_score="v_measure",
         date=None,
-        form=None,
         domains=None,
         task_subtypes=None,
         license=None,
@@ -339,7 +337,6 @@ class ThuNewsClusteringS2S(AbsTaskClustering):
         eval_langs=["cmn-Hans"],
         main_score="v_measure",
         date=None,
-        form=None,
         domains=None,
         task_subtypes=None,
         license=None,
@@ -383,7 +380,6 @@ class ThuNewsClusteringP2P(AbsTaskClustering):
         eval_langs=["cmn-Hans"],
         main_score="v_measure",
         date=None,
-        form=None,
         domains=None,
         task_subtypes=None,
         license=None,

mteb/tasks/Reranking/zho/CMTEBReranking.py

@@ -20,7 +20,6 @@ class T2Reranking(AbsTaskReranking):
         eval_langs=["cmn-Hans"],
         main_score="map",
         date=None,
-        form=None,
         domains=[],
         task_subtypes=None,
         license="not specified",
@@ -57,7 +56,6 @@ class MMarcoReranking(AbsTaskReranking):
         eval_langs=["cmn-Hans"],
         main_score="map",
         date=None,
-        form=None,
         domains=None,
         task_subtypes=None,
         license=None,
@@ -133,7 +131,6 @@ class CMedQAv2(AbsTaskReranking):
         eval_langs=["cmn-Hans"],
         main_score="map",
         date=None,
-        form=None,
         domains=["Medical", "Written"],
         task_subtypes=None,
         license=None,

mteb/tasks/Retrieval/zho/CMTEBRetrieval.py

@@ -278,6 +278,7 @@ class CmedqaRetrieval(AbsTaskRetrieval):
         prompt={
             "query": "Given a Chinese community medical question, retrieve replies that best answer the question"
         },
+        adapted_from=["CMedQAv2-reranking"],
     )
 
     def load_data(self, **kwargs):