Delete ruv_tv_unknown_speakers.py

ruv_tv_unknown_speakers.py

@@ -1,82 +0,0 @@
-#!/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(),
-                }