++ test

pangloss.py

@@ -17,7 +17,6 @@ import csv
 import json
 import os
 import datasets
-from datasets.tasks import AutomaticSpeechRecognition
 
 _CITATION = {
     "yong1288": """
@@ -53,19 +52,13 @@ url          = {https://doi.org/10.5281/zenodo.5521112}
 }
 
 _DESCRIPTION = """\
-These datasets are extracts from the Pangloss collection and have
-been preprocessed for ASR experiments in Na and Japhug.
+These datasets are extracts from the Pangloss collection and have been preprocessed for ASR experiments in Yongning Na and Japhug.
 """
 
 _HOMEPAGE = "https://pangloss.cnrs.fr/"
 
 _LICENSE = "https://creativecommons.org/licenses/by-nc-sa/4.0/fr/legalcode"
 
-# The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
-# This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
-
-_VERSION = datasets.Version("1.0.0")
-
 _LANGUAGES = {
     "yong1288": {
         "url": "https://mycore.core-cloud.net/index.php/s/vaGMeRf4Iij8MWR/download",
@@ -93,6 +86,14 @@ class PanglossDataset(datasets.GeneratorBasedBuilder):
         "traduction:zh": "translation:zh"
     }
 
+VERSION = datasets.Version("1.2.0")
+
+# TODO: Name of the dataset usually matches the script name with CamelCase instead of snake_case
+class NewDataset(datasets.GeneratorBasedBuilder):
+    """TODO: Short description of my dataset."""
+
+
+
     # 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.
@@ -105,24 +106,24 @@ class PanglossDataset(datasets.GeneratorBasedBuilder):
     # data = datasets.load_dataset('my_dataset', 'first_domain')
     # data = datasets.load_dataset('my_dataset', 'second_domain')
     BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name=language_name, version=_VERSION, description=language_data["description"])
+        datasets.BuilderConfig(name=language_name, version=VERSION, description=language_data["description"])
         for language_name, language_data in _LANGUAGES.items()
     ]
 
-    #DEFAULT_CONFIG_NAME = "na"  # It's not mandatory to have a default configuration. Just use one if it make sense.
+    #DEFAULT_CONFIG_NAME = ""  # It's not mandatory to have a default configuration. Just use one if it make sense.
 
     def _info(self):
         # TODO: This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset
         features = datasets.Features(
             {
                 "path": datasets.Value("string"),
-                "audio": datasets.features.Audio(sampling_rate=16_000),
+                "audio": datasets.Audio(sampling_rate=16_000),
                 "sentence": datasets.Value("string"),
                 "doctype": datasets.Value("string"),
+                "speaker": datasets.Value("string"),
                 **{f"translation:{language_code}": datasets.Value("string") for language_code in _LANGUAGES[self.config.name]["translations"]}
             }
         )
-
         return datasets.DatasetInfo(
             # This is the description that will appear on the datasets page.
             description=_DESCRIPTION,
@@ -137,8 +138,6 @@ class PanglossDataset(datasets.GeneratorBasedBuilder):
             license=_LICENSE,
             # Citation for the dataset
             citation=_CITATION,
-            task_templates=[AutomaticSpeechRecognition(audio_column="audio", transcription_column="forme")],
-
         )
 
     def _split_generators(self, dl_manager):
@@ -191,9 +190,9 @@ class PanglossDataset(datasets.GeneratorBasedBuilder):
                 yield key, data
 
 
-if __name__ == "__main__":
+# if __name__ == "__main__":
     # for language in _LANGUAGES.keys():
-    datasets.load_dataset("pangloss.py", "japh1234")
+    # datasets.load_dataset("datasets/pangloss/pangloss.py", "japh1234")
 
 # datasets-cli test datasets/pangloss --save_infos --all_configs
 # datasets-cli dummy_data datasets/pangloss --auto_generate