Upload covost2.py with huggingface_hub

covost2.py

@@ -21,9 +21,9 @@ from typing import Dict, List, Tuple
 import datasets
 import pandas as pd
 
-from nusacrowd.utils import schemas
-from nusacrowd.utils.configs import NusantaraConfig
-from nusacrowd.utils.constants import DEFAULT_NUSANTARA_VIEW_NAME, DEFAULT_SOURCE_VIEW_NAME, Tasks
+from seacrowd.utils import schemas
+from seacrowd.utils.configs import SEACrowdConfig
+from seacrowd.utils.constants import DEFAULT_SEACROWD_VIEW_NAME, DEFAULT_SOURCE_VIEW_NAME, Tasks
 
 _LANGUAGES = ["ind", "eng"]
 _CITATION = """\
@@ -48,7 +48,7 @@ _CITATION = """\
 
 _DATASETNAME = "covost2"
 _SOURCE_VIEW_NAME = DEFAULT_SOURCE_VIEW_NAME
-_UNIFIED_VIEW_NAME = DEFAULT_NUSANTARA_VIEW_NAME
+_UNIFIED_VIEW_NAME = DEFAULT_SEACROWD_VIEW_NAME
 
 _DESCRIPTION = """\
 CoVoST2 is a large-scale multilingual speech translation corpus covering translations from 21 languages to English
@@ -68,17 +68,17 @@ _URLS = {_DATASETNAME: {"ind": COMMONVOICE_URL_TEMPLATE.format(lang=LANG_CODE["i
 
 _SUPPORTED_TASKS = [Tasks.SPEECH_TO_TEXT_TRANSLATION, Tasks.MACHINE_TRANSLATION]
 _SOURCE_VERSION = "1.0.0"
-_NUSANTARA_VERSION = "1.0.0"
+_SEACROWD_VERSION = "2024.06.20"
 
 
-def nusantara_config_constructor(src_lang, tgt_lang, schema, version):
+def seacrowd_config_constructor(src_lang, tgt_lang, schema, version):
     if src_lang == "" or tgt_lang == "":
         raise ValueError(f"Invalid src_lang {src_lang} or tgt_lang {tgt_lang}")
 
-    if schema not in ["source", "nusantara_sptext", "nusantara_t2t"]:
+    if schema not in ["source", "seacrowd_sptext", "seacrowd_t2t"]:
         raise ValueError(f"Invalid schema: {schema}")
 
-    return NusantaraConfig(
+    return SEACrowdConfig(
         name="covost2_{src}_{tgt}_{schema}".format(src=src_lang, tgt=tgt_lang, schema=schema),
         version=datasets.Version(version),
         description="covost2 source schema for {schema} from {src} to {tgt}".format(schema=schema, src=src_lang, tgt=tgt_lang),
@@ -90,7 +90,7 @@ def nusantara_config_constructor(src_lang, tgt_lang, schema, version):
 class Covost2(datasets.GeneratorBasedBuilder):
     """CoVoST2 dataset is a dataset mainly for speech to text translation task. The data was taken from Mozilla Common
     Voices dataset. In the implementation of the source schema, the audio and transcriptions of the source language,
-    as well as the translated transcriptions are provided. In the implementation of the nusantara schema, only the audio of the source language and transcriptions of the
+    as well as the translated transcriptions are provided. In the implementation of the seacrowd schema, only the audio of the source language and transcriptions of the
     target language are provided. The source and target languages available are eng->ind and ind -> eng respectively.
     In addition to the speech to text translation, this dataset (text only) can be used as a machine translation for
     eng->ind and ind->eng.
@@ -101,12 +101,12 @@ class Covost2(datasets.GeneratorBasedBuilder):
     COVOST_URL_TEMPLATE = "https://dl.fbaipublicfiles.com/covost/covost_v2.{src_lang}_{tgt_lang}.tsv.tar.gz"
 
     SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
-    NUSANTARA_VERSION = datasets.Version(_NUSANTARA_VERSION)
+    SEACROWD_VERSION = datasets.Version(_SEACROWD_VERSION)
 
     BUILDER_CONFIGS = (
-        [nusantara_config_constructor(src, tgt, "source", _SOURCE_VERSION) for (src, tgt) in LANG_COMBINATION_CODE]
-        + [nusantara_config_constructor(src, tgt, "nusantara_sptext", _NUSANTARA_VERSION) for (src, tgt) in LANG_COMBINATION_CODE]
-        + [nusantara_config_constructor(src, tgt, "nusantara_t2t", _NUSANTARA_VERSION) for (src, tgt) in LANG_COMBINATION_CODE]
+        [seacrowd_config_constructor(src, tgt, "source", _SOURCE_VERSION) for (src, tgt) in LANG_COMBINATION_CODE]
+        + [seacrowd_config_constructor(src, tgt, "seacrowd_sptext", _SEACROWD_VERSION) for (src, tgt) in LANG_COMBINATION_CODE]
+        + [seacrowd_config_constructor(src, tgt, "seacrowd_t2t", _SEACROWD_VERSION) for (src, tgt) in LANG_COMBINATION_CODE]
     )
 
     DEFAULT_CONFIG_NAME = f"{_DATASETNAME}_eng_ind_source"
@@ -116,9 +116,9 @@ class Covost2(datasets.GeneratorBasedBuilder):
             features = datasets.Features(
                 {"client_id": datasets.Value("string"), "file": datasets.Value("string"), "audio": datasets.Audio(sampling_rate=16_000), "sentence": datasets.Value("string"), "translation": datasets.Value("string"), "id": datasets.Value("string")}
             )
-        elif self.config.schema == "nusantara_sptext":
+        elif self.config.schema == "seacrowd_sptext":
             features = schemas.speech_text_features
-        elif self.config.schema == "nusantara_t2t":
+        elif self.config.schema == "seacrowd_t2t":
             features = schemas.text2text_features
 
         return datasets.DatasetInfo(
@@ -127,7 +127,7 @@ class Covost2(datasets.GeneratorBasedBuilder):
             homepage=_HOMEPAGE,
             license=_LICENSE,
             citation=_CITATION,
-            task_templates=[datasets.AutomaticSpeechRecognition(audio_column="audio", transcription_column="sentences")] if (self.config.schema == "nusantara_sptext" or self.config.schema == "source") else None,
+            task_templates=[datasets.AutomaticSpeechRecognition(audio_column="audio", transcription_column="sentences")] if (self.config.schema == "seacrowd_sptext" or self.config.schema == "source") else None,
         )
 
     def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
@@ -209,7 +209,7 @@ class Covost2(datasets.GeneratorBasedBuilder):
                     "file": os.path.join(filepath, "clips", row["path"]),
                     "audio": os.path.join(filepath, "clips", row["path"]),
                 }
-            elif self.config.schema == "nusantara_sptext":
+            elif self.config.schema == "seacrowd_sptext":
                 yield id, {
                     "id": row["path"].replace(".mp3", ""),
                     "speaker_id": row["client_id"],
@@ -221,7 +221,7 @@ class Covost2(datasets.GeneratorBasedBuilder):
                         "speaker_gender": None,
                     },
                 }
-            elif self.config.schema == "nusantara_t2t":
+            elif self.config.schema == "seacrowd_t2t":
                 yield id, {"id": row["path"].replace(".mp3", ""), "text_1": row["sentence"], "text_2": row["translation"], "text_1_name": src_lang, "text_2_name": tgt_lang}
             else:
                 raise NotImplementedError(f"Schema '{self.config.schema}' is not defined.")