mode added for example generation

CommonVoiceBangla.py

@@ -18,7 +18,7 @@
 import csv
 import os
 import urllib
-
+import shutil
 import datasets
 import requests
 from datasets.utils.py_utils import size_str
@@ -37,7 +37,7 @@ _CITATION = """\
 }
 """
 
-_HOMEPAGE = "https://commonvoice.mozilla.org/en/datasets"
+_HOMEPAGE = "https://commonvoice.mozilla.org/bn/datasets"
 
 _LICENSE = "https://creativecommons.org/publicdomain/zero/1.0/"
 
@@ -71,7 +71,7 @@ class CommonVoiceConfig(datasets.BuilderConfig):
 
 
 class CommonVoice(datasets.GeneratorBasedBuilder):
-    DEFAULT_CONFIG_NAME = "en"
+    DEFAULT_CONFIG_NAME = "bn"
     DEFAULT_WRITER_BATCH_SIZE = 1000
 
     BUILDER_CONFIGS = [
@@ -165,14 +165,16 @@ class CommonVoice(datasets.GeneratorBasedBuilder):
             path_to_data = "/".join([bundle_version, self.config.name])
         path_to_clips = "/".join([path_to_data, "clips"]) if path_to_data else "clips"
 
+        
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 gen_kwargs={
                     "local_extracted_archive": local_extracted_archive,
                     "archive_iterator": dl_manager.iter_archive(archive_path),
-                    "metadata_filepath": "/".join([path_to_data, "train.tsv"]) if path_to_data else "train.tsv",
+                    "metadata_filepath": "train.tsv",
                     "path_to_clips": path_to_clips,
+                    "mode":"train",
                 },
             ),
             datasets.SplitGenerator(
@@ -182,6 +184,7 @@ class CommonVoice(datasets.GeneratorBasedBuilder):
                     "archive_iterator": dl_manager.iter_archive(archive_path),
                     "metadata_filepath": "/".join([path_to_data, "test.tsv"]) if path_to_data else "test.tsv",
                     "path_to_clips": path_to_clips,
+                    "mode":"test",
                 },
             ),
             datasets.SplitGenerator(
@@ -191,26 +194,7 @@ class CommonVoice(datasets.GeneratorBasedBuilder):
                     "archive_iterator": dl_manager.iter_archive(archive_path),
                     "metadata_filepath": "/".join([path_to_data, "dev.tsv"]) if path_to_data else "dev.tsv",
                     "path_to_clips": path_to_clips,
-                },
-            ),
-            datasets.SplitGenerator(
-                name="other",
-                gen_kwargs={
-                    "local_extracted_archive": local_extracted_archive,
-                    "archive_iterator": dl_manager.iter_archive(archive_path),
-                    "metadata_filepath": "/".join([path_to_data, "other.tsv"]) if path_to_data else "other.tsv",
-                    "path_to_clips": path_to_clips,
-                },
-            ),
-            datasets.SplitGenerator(
-                name="invalidated",
-                gen_kwargs={
-                    "local_extracted_archive": local_extracted_archive,
-                    "archive_iterator": dl_manager.iter_archive(archive_path),
-                    "metadata_filepath": "/".join([path_to_data, "invalidated.tsv"])
-                    if path_to_data
-                    else "invalidated.tsv",
-                    "path_to_clips": path_to_clips,
+                    "mode":"dev",
                 },
             ),
         ]
@@ -221,40 +205,75 @@ class CommonVoice(datasets.GeneratorBasedBuilder):
         archive_iterator,
         metadata_filepath,
         path_to_clips,
+        mode
     ):
         """Yields examples."""
         data_fields = list(self._info().features.keys())
         metadata = {}
         metadata_found = False
-        for path, f in archive_iterator:
-            if path == metadata_filepath:
-                metadata_found = True
-                lines = (line.decode("utf-8") for line in f)
-                reader = csv.DictReader(lines, delimiter="\t", quoting=csv.QUOTE_NONE)
-                for row in reader:
-                    # set absolute path for mp3 audio file
-                    if not row["path"].endswith(".mp3"):
-                        row["path"] += ".mp3"
-                    row["path"] = os.path.join(path_to_clips, row["path"])
-                    # accent -> accents in CV 8.0
-                    if "accents" in row:
-                        row["accent"] = row["accents"]
-                        del row["accents"]
-                    # if data is incomplete, fill with empty values
-                    for field in data_fields:
-                        if field not in row:
-                            row[field] = ""
-                    metadata[row["path"]] = row
-            elif path.startswith(path_to_clips):
-                assert metadata_found, "Found audio clips before the metadata TSV file."
-                if not metadata:
-                    break
-                if path in metadata:
-                    result = metadata[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": f.read()}
-                    # set path to None if the audio file doesn't exist locally (i.e. in streaming mode)
-                    result["path"] = path if local_extracted_archive else None
+        if mode in ["dev","test"]:
+            for path, f in archive_iterator:
+                if path == metadata_filepath:
+                    metadata_found = True
+                    lines = (line.decode("utf-8") for line in f)
+                    reader = csv.DictReader(lines, delimiter="\t", quoting=csv.QUOTE_NONE)
+                    for row in reader:
+                        # set absolute path for mp3 audio file
+                        if not row["path"].endswith(".mp3"):
+                            row["path"] += ".mp3"
+                        row["path"] = os.path.join(path_to_clips, row["path"])
+                        # accent -> accents in CV 8.0
+                        if "accents" in row:
+                            row["accent"] = row["accents"]
+                            del row["accents"]
+                        # if data is incomplete, fill with empty values
+                        for field in data_fields:
+                            if field not in row:
+                                row[field] = ""
+                        metadata[row["path"]] = row
+                elif path.startswith(path_to_clips):
+                    assert metadata_found, "Found audio clips before the metadata TSV file."
+                    if not metadata:
+                        break
+                    if path in metadata:
+                        result = metadata[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": f.read()}
+                        # set path to None if the audio file doesn't exist locally (i.e. in streaming mode)
+                        result["path"] = path if local_extracted_archive else None
+
+                        yield path, result
+        else:
+            metadata_found = True
+            with open(metadata_filepath, "rb") as file_obj:
+                lines = (line.decode("utf-8") for line in file_obj)
+            reader = csv.DictReader(lines, delimiter="\t", quoting=csv.QUOTE_NONE)
+            for row in reader:
+                # set absolute path for mp3 audio file
+                if not row["path"].endswith(".mp3"):
+                    row["path"] += ".mp3"
+                row["path"] = os.path.join(path_to_clips, row["path"])
+                # accent -> accents in CV 8.0
+                if "accents" in row:
+                    row["accent"] = row["accents"]
+                    del row["accents"]
+                # if data is incomplete, fill with empty values
+                for field in data_fields:
+                    if field not in row:
+                        row[field] = ""
+                metadata[row["path"]] = row
+            for path, f in archive_iterator:
+                if path.startswith(path_to_clips):
+                    assert metadata_found, "Found audio clips before the metadata TSV file."
+                    if not metadata:
+                        break
+                    if path in metadata:
+                        result = metadata[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": f.read()}
+                        # set path to None if the audio file doesn't exist locally (i.e. in streaming mode)
+                        result["path"] = path if local_extracted_archive else None
 
-                    yield path, result
+                        yield path, result