Update dataset_2.py

dataset_2.py

@@ -21,7 +21,7 @@ import datasets
 logger = datasets.logging.get_logger(__name__)
 
 
-""" Self Dataset"""
+""" MInDS-14 Dataset"""
 
 _CITATION = """\
 @article{gerz2021multilingual,
@@ -33,7 +33,7 @@ _CITATION = """\
 """
 
 _DESCRIPTION = """\
-Self Dataset is training and evaluation resource for intent
+MINDS-14 is training and evaluation resource for intent
 detection task with spoken data. It covers 14
 intents extracted from a commercial system
 in the e-banking domain, associated with spoken examples in 14 diverse language varieties.
@@ -44,20 +44,20 @@ _ALL_CONFIGS = sorted([
 ])
 
 
-_DESCRIPTION = "Self Dataset is a dataset for the intent detection task with spoken data. It covers 14 intents extracted from a commercial system in the e-banking domain, associated with spoken examples in 14 diverse language varieties."
+_DESCRIPTION = "MINDS-14 is a dataset for the intent detection task with spoken data. It covers 14 intents extracted from a commercial system in the e-banking domain, associated with spoken examples in 14 diverse language varieties."
 
 _HOMEPAGE_URL = "https://arxiv.org/abs/2104.08524"
 
-_DATA_URL = "https://www.dropbox.com/scl/fi/wr608qdxo5jnm0azwkbak/dataset.zip?rlkey=wktncggwoka8qdm46cjb41yac&dl=0"
+_DATA_URL = "https://www.dropbox.com/s/e2us0hcs3ilr20e/MInDS-14.zip?dl=1"
 
 
-class ATCConfig(datasets.BuilderConfig):
+class Minds14Config(datasets.BuilderConfig):
     """BuilderConfig for xtreme-s"""
 
     def __init__(
         self, name, description, homepage, data_url
     ):
-        super(ATCConfig, self).__init__(
+        super(Minds14Config, self).__init__(
             name=self.name,
             version=datasets.Version("1.0.0", ""),
             description=self.description,
@@ -69,7 +69,7 @@ class ATCConfig(datasets.BuilderConfig):
 
 
 def _build_config(name):
-    return ATCConfig(
+    return Minds14Config(
         name=name,
         description=_DESCRIPTION,
         homepage=_HOMEPAGE_URL,
@@ -77,7 +77,7 @@ def _build_config(name):
     )
 
 
-class ATC(datasets.GeneratorBasedBuilder):
+class Minds14(datasets.GeneratorBasedBuilder):
 
     DEFAULT_WRITER_BATCH_SIZE = 1000
     BUILDER_CONFIGS = [_build_config(name) for name in _ALL_CONFIGS + ["all"]]
@@ -87,16 +87,36 @@ class ATC(datasets.GeneratorBasedBuilder):
         langs = _ALL_CONFIGS
         features = datasets.Features(
             {
-                "file_path": datasets.Value("string"),
-                "reference": datasets.Value("string"),
-             
+                "path": datasets.Value("string"),
+                "audio": datasets.Audio(sampling_rate=8_000),
+                "transcription": datasets.Value("string"),
+                "english_transcription": datasets.Value("string"),
+                "intent_class": datasets.ClassLabel(
+                    names=[
+                        "abroad",
+                        "address",
+                        "app_error",
+                        "atm_limit",
+                        "balance",
+                        "business_loan",
+                        "card_issues",
+                        "cash_deposit",
+                        "direct_debit",
+                        "freeze",
+                        "high_value_payment",
+                        "joint_account",
+                        "latest_transactions",
+                        "pay_bill",
+                    ]
+                ),
+                "lang_id": datasets.ClassLabel(names=langs),
             }
         )
 
         return datasets.DatasetInfo(
             description=_DESCRIPTION,
             features=features,
-            supervised_keys=("file_path", "reference"),
+            supervised_keys=("audio", "transcription"),
             homepage=self.config.homepage,
             citation=_CITATION,
             task_templates=task_templates,
@@ -111,10 +131,10 @@ class ATC(datasets.GeneratorBasedBuilder):
 
         archive_path = dl_manager.download_and_extract(self.config.data_url)
         audio_path = dl_manager.extract(
-            os.path.join(archive_path, "dataset", "audio.zip")
+            os.path.join(archive_path, "MInDS-14", "audio.zip")
         )
         text_path = dl_manager.extract(
-            os.path.join(archive_path, "dataset", "text.zip")
+            os.path.join(archive_path, "MInDS-14", "text.zip")
         )
 
         text_path = {l: os.path.join(text_path, f"{l}.csv") for l in langs}
@@ -138,11 +158,15 @@ class ATC(datasets.GeneratorBasedBuilder):
                 csv_reader = csv.reader(csv_file, delimiter=",", skipinitialspace=True)
                 next(csv_reader)
                 for row in csv_reader:
-                    file_path, reference = row
+                    file_path, transcription, english_transcription, intent_class = row
 
                     file_path = os.path.join(audio_path, *file_path.split("/"))
                     yield key, {
-                        "path": file_path,                        
-                        "reference": transcription,
+                        "path": file_path,
+                        "audio": file_path,
+                        "transcription": transcription,
+                        "english_transcription": english_transcription,
+                        "intent_class": intent_class.lower(),
+                        "lang_id": _ALL_CONFIGS.index(lang),
                     }
-                    key += 1
+                    key += 1