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Adding metadata and builder script

ruv_tv_unknown_speakers.py

@@ -0,0 +1,82 @@
+#!/usr/bin/env python3
+from collections import defaultdict
+import os
+import csv
+import datasets
+
+_NAME="RUV TV unknown speakers"
+_VERSION="1.0.0"
+_DESCRIPTION = """
+RUV TV unknown speakers
+"""
+
+class RuvConfig(datasets.BuilderConfig):
+    """BuilderConfig for The RUV TV unknown speakers Corpus"""
+
+    def __init__(self, name, **kwargs):
+        name=_NAME
+        super().__init__(name=name, **kwargs)
+
+class RuvAsr(datasets.GeneratorBasedBuilder):
+    """RUV TV unknown speakers 1.0"""
+
+    VERSION = datasets.Version(_VERSION)
+    BUILDER_CONFIGS = [
+        RuvConfig(
+            name=_NAME,
+            version=datasets.Version(_VERSION),
+        )
+    ]
+
+    def _info(self):
+        features = datasets.Features(
+            {
+                "audio_id": datasets.Value("string"),
+                "audio": datasets.Audio(sampling_rate=16000),
+                "show_name": datasets.Value("string"),
+                "episode_id": datasets.Value("string"),
+                "text": datasets.Value("string"),
+            }
+        )
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+        )
+
+    def _split_generators(self, dl_manager: datasets.DownloadManager):
+        metadata_path = dl_manager.download_and_extract("metadata.tsv")
+        audio_dir = "audio"
+        audio_paths = {}
+        audio_archives = {}
+        texts_path = dl_manager.download_and_extract("text")
+
+        with open(metadata_path) as f:
+            metadata = csv.DictReader(f, fieldnames=["audio_id", "episode_id", "show_name", "duration"], delimiter="\t")
+            for line in metadata:
+                audio_path = os.path.join(audio_dir, line["show_name"], line["episode_id"], line["audio_id"] + ".flac")
+                audio_paths[line["audio_id"]] = audio_path
+                try:
+                    audio_archives[line["audio_id"]] = dl_manager.download_and_extract(audio_path)
+                except FileNotFoundError as e:
+                    print(e)
+                    print("Failed to download", audio_path, "continuing...")
+                    continue
+
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"metadata_path": metadata_path, "audio_archives": audio_archives, "texts_path": texts_path}),
+        ]
+
+    def _generate_examples(self, metadata_path, audio_archives, texts_path):
+        with open(metadata_path) as f, open(texts_path) as g:
+            metadata = csv.DictReader(f, fieldnames=["audio_id", "episode_id", "show_name", "duration"], delimiter="\t")
+            for line, text_line in zip(metadata, g.readlines()):
+                audio_id = line["audio_id"]
+                audio_file = audio_archives[audio_id]
+
+                yield audio_id, {
+                    "audio_id": audio_id,
+                    "audio": {"path": audio_file, "bytes": open(audio_file, "rb").read()},
+                    "show_name": line["show_name"],
+                    "episode_id": line["episode_id"],
+                    "text": text_line.split(" ", maxsplit=1)[1].rstrip(),
+                }