add XCM classes

gadme.py

@@ -20,7 +20,7 @@ import pandas as pd
 
 from .classes import BIRD_NAMES_NIPS4BPLUS, BIRD_NAMES_AMAZON_BASIN, BIRD_NAMES_HAWAII, \
     BIRD_NAMES_HIGH_SIERRAS, BIRD_NAMES_SIERRA_NEVADA, BIRD_NAMES_POWDERMILL_NATURE, BIRD_NAMES_SAPSUCKER, \
-    BIRD_NAMES_COLUMBIA_COSTA_RICA, BIRD_NAMES_XENOCANTO
+    BIRD_NAMES_COLUMBIA_COSTA_RICA, BIRD_NAMES_XENOCANTO, BIRD_NAMES_XENOCANTO_M
 
 from .descriptions import _BIRD_DB_CITATION, _NIPS4BPLUS_CITATION, _NIPS4BPLUS_DESCRIPTION, \
     _HIGH_SIERRAS_DESCRIPTION, _HIGH_SIERRAS_CITATION, _SIERRA_NEVADA_DESCRIPTION, _SIERRA_NEVADA_CITATION, \
@@ -47,7 +47,7 @@ _BIRDSET_DESCRIPTION = """\
 base_url = "https://huggingface.co/datasets/DBD-research-group/gadme/resolve/data"
 
 
-#base_url = "data"  # set a path to data folder to load localy
+base_url = "../data"  # set a path to data folder to load locally
 
 
 class BirdSetConfig(datasets.BuilderConfig):
@@ -67,7 +67,7 @@ class BirdSetConfig(datasets.BuilderConfig):
             "low_freq": datasets.Value("int64"),
             "high_freq": datasets.Value("int64"),
             "ebird_code": datasets.ClassLabel(names=class_list),
-            "ebird_code_multilabel": datasets.Sequence(datasets.ClassLabel(names=class_list)),
+            "ebird_code_multilabel": datasets.Sequence(datasets.ClassLabel(names=["no_call"] + class_list)),
             "ebird_code_secondary": datasets.Sequence(datasets.Value("string")),
             "call_type": datasets.Value("string"),
             "sex": datasets.Value("string"),
@@ -267,7 +267,7 @@ class BirdSet(datasets.GeneratorBasedBuilder):
             description="TODO",
             citation="TODO",
             data_dir=f"{base_url}/XCM",
-            class_list=BIRD_NAMES_XENOCANTO,
+            class_list=BIRD_NAMES_XENOCANTO_M,
         ),
         BirdSetConfig(
             name="XCL",