fix loading script, rename dev data paths to validation

data/{dev_bm_1.tar.gz → validation_bm_1.tar.gz}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:798e05953acb17a50050447b106cc703902a8ef7d7696c5f408bae4089a1258a
-size 170237998
+oid sha256:bd00721de3280d7badd3d21748449c2e6e85656b0f1efb43e06b3b13ef26b7f9
+size 204513280

data/{dev_nn_1.tar.gz → validation_nn_1.tar.gz}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4e0152d1c323bf089fd9599f9de52742e107da208e4f921ab002bdcdcba8d796
-size 52968093
+oid sha256:7d88d67097644ac8ab152d9698081a7f9186aa55ea1d7a38637b0b1031b4e5c2
+size 63129600

nb_samtale.py

@@ -75,6 +75,7 @@ def normalize_transcription(transcription: str, config="annotations"):
         return transcription
     return transcription
 
+
 class NBSamtaleConfig(datasets.BuilderConfig):
     """BuilderConfig for NBSamtale"""
 
@@ -82,23 +83,12 @@ class NBSamtaleConfig(datasets.BuilderConfig):
         # Version history:
         # 1.0.0: Initial version.
         super(NBSamtaleConfig, self).__init__(version=datasets.Version("1.0.0"), **kwargs)
-        #self.language = language
 
 
 class NBSamtale(datasets.GeneratorBasedBuilder):
     """Norwegian conversational speech audio dataset with a total of 24 hours transcribed speech from 69 speakers. """
-
-    # This is an example of a dataset with multiple configurations.
-    # If you don't want/need to define several sub-sets in your dataset,
-    # just remove the BUILDER_CONFIG_CLASS and the BUILDER_CONFIGS attributes.
-
-    # If you need to make complex sub-parts in the datasets with configurable options
-    # You can create your own builder configuration class to store attribute, inheriting from datasets.BuilderConfig
     BUILDER_CONFIG_CLASS = NBSamtaleConfig
 
-    # You will be able to load one or the other configurations in the following list with
-    # data = datasets.load_dataset('Sprakbanken/nb_samtale', 'normalized')
-    # data = datasets.load_dataset('Sprakbanken/nb_samtale', 'verbatim')
     BUILDER_CONFIGS = [
         NBSamtaleConfig(name="annotations", description="Transcriptions contain original annotations, including hesitations, laughter, interruptions etc. See https://www.nb.no/sbfil/taledata/NB_Samtale_About_the_corpus.pdf section 'Transcriptions' for more information."),
         NBSamtaleConfig(name="orthographic",  description="Transcriptions have been normalized and word forms that comply with the orthographic standard are chosen, even for dialect specific words, e.g. 'korsen'/'kossen' is replaced with 'hvordan' in bokmål, or 'korleis' in nynorsk."),
@@ -107,7 +97,7 @@ class NBSamtale(datasets.GeneratorBasedBuilder):
         #NBSamtaleConfig(name="nn", language="nynorsk", description="Normalized nynorsk transcriptions. Word forms that comply with the orthographic standard are chosen, e.g. 'kossen' is replaced with 'korleis'."),
     ]
 
-    DEFAULT_CONFIG_NAME = "annotations"  # It's not mandatory to have a default configuration. Just use one if it make sense.
+    DEFAULT_CONFIG_NAME = "annotations"
 
     def _info(self):
         """This method specifies the datasets.DatasetInfo object
@@ -115,9 +105,7 @@ class NBSamtale(datasets.GeneratorBasedBuilder):
         """
 
         return datasets.DatasetInfo(
-            # This is the description that will appear on the datasets page.
             description=_DESCRIPTION,
-            # This defines the different columns of the dataset and their types
             features=datasets.Features(
                 {
                     'source_file_id': datasets.Value(dtype='string'),
@@ -136,14 +124,9 @@ class NBSamtale(datasets.GeneratorBasedBuilder):
                     'audio': datasets.Audio(sampling_rate=16000, mono=True, decode=True),
                 }
             ),
-            # If there's a common (input, target) tuple from the features, uncomment supervised_keys line below and
-            # specify them. They'll be used if as_supervised=True in builder.as_dataset.
             supervised_keys=None,
-            # Homepage of the dataset for documentation
             homepage=_HOMEPAGE,
-            # License for the dataset if available
             license=_LICENSE,
-            # Citation for the dataset
             citation=_CITATION,
         )
 
@@ -155,18 +138,17 @@ class NBSamtale(datasets.GeneratorBasedBuilder):
         split_type = {
             "train": datasets.Split.TRAIN,
             "test": datasets.Split.TEST,
-            "dev": datasets.Split.VALIDATION,
+            "validation": datasets.Split.VALIDATION,
             }
         for split in split_type:
-            #audio_path[split] = dl_manager.download([f"data/{split}_{lang}_1.tar.gz" for lang in ["bm", "nn"]])
-            audio_path[split] = dl_manager.download(f"data/{split}_bm_1.tar.gz")
+            audio_path[split] = dl_manager.download([f"data/{split}_{lang}_1.tar.gz" for lang in ["bm", "nn"]])
 
         return [
             datasets.SplitGenerator(
             name=split_type[split],
             gen_kwargs={
                 "local_extracted_archive": dl_manager.extract(audio_path[split]) if not dl_manager.is_streaming else None,
-                "audio_files": dl_manager.iter_archive(audio_path[split]),#[dl_manager.iter_archive(archive) for archive in audio_path[split]],
+                "audio_files":[dl_manager.iter_archive(archive) for archive in audio_path[split]],  #dl_manager.iter_archive(audio_path[split]),
                 "metadata": dl_manager.download_and_extract(f"data/{split}_metadata.jsonl"),
                 }
             ) for split in split_type
@@ -175,9 +157,6 @@ class NBSamtale(datasets.GeneratorBasedBuilder):
     # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
     def _generate_examples(self, local_extracted_archive, audio_files, metadata):
         """Loads the data files and extract the features."""
-        #data_fields = list(self._info().features.keys())
-        # TODO: This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
-        # The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.
         meta = {}
         with open(metadata, encoding="utf-8") as mf:
             datalines = mf.read().splitlines()
@@ -189,15 +168,14 @@ class NBSamtale(datasets.GeneratorBasedBuilder):
 
         id_ = 0
 
-        #for archive in audio_files:
-        for path, audio_file in audio_files:
-            if not path in meta:
-                print(f"{path} not in metadata")
-            else:
-                result = dict(meta[path])
-                # set the audio feature and the path to the extracted file
-                path = os.path.join(local_extracted_archive, path) if local_extracted_archive else path
-                result["audio"] = {"path": path, "bytes": audio_file.read()}
-                result["path"] = path
-                yield id_, result
-                id_ += 1
+        for archive in audio_files:
+            for path, audio_file in archive:
+                if not path in meta:
+                    print(f"{path} not in metadata")
+                else:
+                    result = dict(meta[path])
+                    # set the audio feature and the path to the extracted file
+                    path = os.path.join(local_extracted_archive, path) if local_extracted_archive else path
+                    result["audio"] = {"path": path, "bytes": audio_file.read()}
+                    yield id_, result
+                    id_ += 1