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+*.gif filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
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NURC-SP_ENTOA_TTS.py

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+import csv
+import datasets
+from datasets import BuilderConfig, GeneratorBasedBuilder, DatasetInfo, SplitGenerator, Split
+from pathlib import Path
+
+_PROMPTS_PROSODIC_URLS = {
+    "dev": "prosodic/validation.csv",
+    "train": "prosodic/train.csv",
+}
+
+_PROMPTS_AUDIO_CORPUS_URLS = {
+    "dev": "audioCorpus/validation.csv",
+    "train": "audioCorpus/train.csv",
+}
+
+_PROMPTS_AUTOMATIC_URLS = {
+    "dev": "automatic/validation.csv",
+    "train": "automatic/train.csv",
+}
+
+_PROMPTS_TEST_URLS = {
+    "test": "test/test.csv",
+}
+
+_ARCHIVES_PROSODIC = {
+    "dev": "prosodic/audios.tar.gz",
+    "train": "prosodic/audios.tar.gz",
+}
+
+_ARCHIVES_AUDIO_CORPUS = {
+    "dev": "audioCorpus/audios.tar.gz",
+    "train": "audioCorpus/audios.tar.gz",
+}
+
+_ARCHIVES_AUTOMATIC = {
+    "train": "automatic/nurc_cm_automatic_segmented_audios.zip",
+    "dev": "automatic/nurc_cm_automatic_segmented_audios.zip",
+}
+
+_ARCHIVES_TEST = {
+    "test": "test/test.zip",
+}
+
+_PATH_TO_CLIPS = {
+    "dev": "",
+    "train": "",
+    "test": "",
+}
+
+
+class NurcSPConfig(BuilderConfig):
+    def __init__(self, prompts_type, **kwargs):
+        super().__init__(**kwargs)
+        self.prompts_type = prompts_type
+
+
+class NurcSPDataset(GeneratorBasedBuilder):
+    BUILDER_CONFIGS = [
+        NurcSPConfig(name="audioCorpus", description="Audio Corpus audio prompts", prompts_type="audioCorpus"),
+        NurcSPConfig(name="prosodic", description="Prosodic audio prompts", prompts_type="prosodic"),
+        NurcSPConfig(name="automatic", description="Automatic audio prompts", prompts_type="automatic"),
+        NurcSPConfig(name="test", description="Test audio prompts", prompts_type="test"),
+    ]
+
+    def _info(self):
+        if self.config.name == "prosodic":
+            return DatasetInfo(
+                features=datasets.Features(
+                    {
+                        "path": datasets.Value("string"),
+                        "name": datasets.Value("string"),
+                        "speaker": datasets.Value("string"),
+                        "start_time": datasets.Value("string"),
+                        "end_time": datasets.Value("string"),
+                        "normalized_text": datasets.Value("string"),
+                        "text": datasets.Value("string"),
+                        "duration": datasets.Value("string"),
+                        "type": datasets.Value("string"),
+                        "year": datasets.Value("string"),
+                        "gender": datasets.Value("string"),
+                        "age_range": datasets.Value("string"),
+                        "total_duration": datasets.Value("string"),
+                        "quality": datasets.Value("string"),
+                        "theme": datasets.Value("string"),
+                        "audio": datasets.Audio(sampling_rate=16_000, mono=True),
+                    }
+                )
+            )
+        elif self.config.name == "audioCorpus":
+            return DatasetInfo(
+                features=datasets.Features(
+                    {
+                        "audio_name": datasets.Value("string"),
+                        "file_path": datasets.Value("string"),
+                        "text": datasets.Value("string"),
+                        "start_time": datasets.Value("string"),
+                        "end_time": datasets.Value("string"),
+                        "duration": datasets.Value("string"),
+                        "quality": datasets.Value("string"),
+                        "speech_genre": datasets.Value("string"),
+                        "speech_style": datasets.Value("string"),
+                        "variety": datasets.Value("string"),
+                        "accent": datasets.Value("string"),
+                        "sex": datasets.Value("string"),
+                        "age_range": datasets.Value("string"),
+                        "num_speakers": datasets.Value("string"),
+                        "speaker_id": datasets.Value("string"),
+                        "audio": datasets.Audio(sampling_rate=16_000, mono=True),
+                    }
+                )
+            )
+        elif self.config.name == "automatic":
+            return DatasetInfo(
+                features=datasets.Features(
+                    {
+                        "path": datasets.Value("string"),
+                        "name": datasets.Value("string"),
+                        "speaker": datasets.Value("string"),
+                        "start_time": datasets.Value("string"),
+                        "end_time": datasets.Value("string"),
+                        "text": datasets.Value("string"),
+                        "duration": datasets.Value("string"),
+                        "audio": datasets.Audio(sampling_rate=16_000, mono=True),
+                    }
+                )
+            )
+        elif self.config.name == "test":
+            return DatasetInfo(
+                features=datasets.Features(
+                    {
+                        "path": datasets.Value("string"),
+                        "name": datasets.Value("string"),
+                        "speaker": datasets.Value("string"),  
+                        "start_time": datasets.Value("string"),
+                        "end_time": datasets.Value("string"),
+                        "text": datasets.Value("string"),
+                        "duration": datasets.Value("string"),
+                        "audio": datasets.Audio(sampling_rate=16_000, mono=True),                  
+                    }
+                )
+            )
+
+
+    def _split_generators(self, dl_manager):
+        if self.config.prompts_type == "prosodic":
+            prompts_urls = _PROMPTS_PROSODIC_URLS
+            archive_link = _ARCHIVES_PROSODIC
+        elif self.config.prompts_type == "audioCorpus":
+            prompts_urls = _PROMPTS_AUDIO_CORPUS_URLS
+            archive_link = _ARCHIVES_AUDIO_CORPUS
+        elif self.config.prompts_type == "automatic":
+            prompts_urls = _PROMPTS_AUTOMATIC_URLS
+            archive_link = _ARCHIVES_AUTOMATIC
+        elif self.config.prompts_type == "test":
+            prompts_urls = _PROMPTS_TEST_URLS
+            archive_link = _ARCHIVES_TEST
+        else:
+            return
+
+        prompts_path = dl_manager.download(prompts_urls)
+        archive = dl_manager.download(archive_link)
+
+        if self.config.prompts_type == "prosodic" or self.config.prompts_type == "audioCorpus":
+            return [
+                SplitGenerator(
+                    name=Split.VALIDATION,
+                    gen_kwargs={
+                        "prompts_path": prompts_path["dev"],
+                        "path_to_clips": _PATH_TO_CLIPS["dev"],
+                        "audio_files": dl_manager.iter_archive(archive["dev"]),
+                        "split_name": "validation"
+                    }
+                ),
+                SplitGenerator(
+                    name=Split.TRAIN,
+                    gen_kwargs={
+                        "prompts_path": prompts_path["train"],
+                        "path_to_clips": _PATH_TO_CLIPS["train"],
+                        "audio_files": dl_manager.iter_archive(archive["train"]),
+                        "split_name": "train"
+                    }
+                ),
+            ]
+        elif self.config.prompts_type == "automatic":
+            return [
+                SplitGenerator(
+                    name=Split.VALIDATION,
+                    gen_kwargs={
+                        "prompts_path": prompts_path["dev"],
+                        "path_to_clips": _PATH_TO_CLIPS["dev"],
+                        "audio_files": dl_manager.iter_archive(archive["dev"]),
+                        "split_name": "validation"
+                    }
+                ),
+                SplitGenerator(
+                    name=Split.TRAIN,
+                    gen_kwargs={
+                        "prompts_path": prompts_path["train"],
+                        "path_to_clips": _PATH_TO_CLIPS["train"],
+                        "audio_files": dl_manager.iter_archive(archive["train"]),
+                        "split_name": "train"
+                    }
+                ),
+            ]
+        elif self.config.prompts_type == "test":
+            return[
+                SplitGenerator(
+                    name=Split.TEST,
+                    gen_kwargs={
+                        "prompts_path": prompts_path["test"],
+                        "path_to_clips": _PATH_TO_CLIPS["test"],
+                        "audio_files": dl_manager.iter_archive(archive["test"]),
+                        "split_name": "test"
+                    }
+                ),
+            ]
+
+    def _generate_examples(self, prompts_path, path_to_clips, audio_files, split_name):
+        examples = {}
+        csv_paths = []
+
+        with open(prompts_path, "r", encoding="utf-8") as f:
+            if self.config.prompts_type == "test":
+                csv_reader = csv.DictReader(f, delimiter=";")  # Explicitly set delimiter
+            else:
+                csv_reader = csv.DictReader(f)
+                
+            if self.config.prompts_type == "prosodic":
+                for row in csv_reader:
+                    file_path = Path(row['path']).as_posix()
+                    examples[file_path] = {
+                        "path": row['path'],
+                        "name": row['name'],
+                        "speaker": row['speaker'],
+                        "start_time": row['start_time'],
+                        "end_time": row['end_time'],
+                        "normalized_text": row['normalized_text'],
+                        "text": row['text'],
+                        "duration": row['duration'],
+                        "type": row['type'],
+                        "year": row['year'],
+                        "gender": row['gender'],
+                        "age_range": row['age_range'],
+                        "total_duration": row['total_duration'],
+                        "quality": row['quality'],
+                        "theme": row['theme'],
+                    }
+                    csv_paths.append(file_path)
+            elif self.config.prompts_type == "audioCorpus":
+                for row in csv_reader:
+                    file_path = Path(row['file_path']).as_posix()
+                    examples[file_path] = {
+                        "audio_name": row['audio_name'],
+                        "file_path": row['file_path'],
+                        "text": row['text'],
+                        "start_time": row['start_time'],
+                        "end_time": row['end_time'],
+                        "duration": row['duration'],
+                        "quality": row['quality'],
+                        "speech_genre": row['speech_genre'],
+                        "speech_style": row['speech_style'],
+                        "variety": row['variety'],
+                        "accent": row['accent'],
+                        "sex": row['sex'],
+                        "age_range": row['age_range'],
+                        "num_speakers": row['num_speakers'],
+                        "speaker_id": row['speaker_id'],
+                    }
+                    csv_paths.append(file_path)
+            elif self.config.prompts_type == "automatic":
+                for row in csv_reader:
+                    file_path = Path(row['path']).as_posix()
+                    examples[file_path] = {
+                        "path": row['path'],
+                        "name": row['name'],
+                        "speaker": row['speaker'],
+                        "start_time": row['start_time'],
+                        "end_time": row['end_time'],
+                        "text": row['text'],
+                        "duration": row['duration'],
+                    }
+                    csv_paths.append(file_path)
+            elif self.config.prompts_type == "test":
+                for row in csv_reader:
+                    file_path = Path(row['path']).as_posix()
+                    examples[file_path] = {
+                        "path": row['path'],
+                        "name": row['name'],
+                        "speaker": row['speaker'],
+                        "start_time": row['start_time'],
+                        "end_time": row['end_time'],
+                        "text": row['text'],
+                        "duration": row['duration'],
+                    }
+                    csv_paths.append(file_path)
+
+        id_ = 0
+        for path, f in audio_files:
+            path = Path(path).as_posix()
+            if path.startswith(path_to_clips) and path in examples:
+                audio = {"path": path, "bytes": f.read()}
+                yield id_, {**examples[path], "audio": audio}
+                id_ += 1
+
+
+if __name__ == "__main__":
+    from datasets import DatasetDict, DatasetInfo
+    import json
+    from pathlib import Path
+
+    infos = {}
+
+    for cfg in ["prosodic", "audioCorpus", "automatic", "test"]:
+        # Load parquet files into a DatasetDict
+        parquet_files = list(Path(f"parquet/{cfg}").glob("*.parquet"))
+        ds = DatasetDict({
+            f.stem.split("_")[-1]:  # e.g., "train", "validation", "test"
+            DatasetDict.from_parquet(str(f)) for f in parquet_files
+        })
+
+        # Build info object
+        info = DatasetInfo.from_dataset_dict(ds)
+
+        # Store in dict
+        infos[cfg] = info.to_dict()
+
+    # Save to dataset_infos.json
+    with open("dataset_infos.json", "w", encoding="utf-8") as f:
+        json.dump(infos, f, indent=2, ensure_ascii=False)
+
+    '''
+    for cfg in ["prosodic", "audioCorpus", "automatic", "test"]:
+        builder = NurcSPDataset(config_name=cfg)
+        builder.download_and_prepare()
+        ds: DatasetDict = builder.as_dataset()
+
+        out_dir = Path(f"parquet/{cfg}")
+        out_dir.mkdir(parents=True, exist_ok=True)
+
+        for split, dataset in ds.items():
+            dataset.to_parquet(out_dir / f"{cfg}_{split}.parquet")
+    '''

audioCorpus/audios.tar.gz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a4b062179d68ef46f9121e1b05f3b308df92feff95f16cdfe1335fba91745c55
+size 1165154541

automatic/nurc_cm_automatic_segmented_audios.zip

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+oid sha256:a4564f316a1ac299a8fcc84f2ddd8063c2b8b996f87159f956e1007add1a33a0
+size 1551683455

prosodic/audios.tar.gz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:721242ae050a96404a5a3ea16b80b443ad53d05b98f546dcb1360af947ee53b9
+size 1485530566

test/test.csv

@@ -0,0 +1,30 @@
+path;name;speaker;start_time;end_time;text;duration
+segmented_audios/SP_DID_234/0016_SP_DID_234.wav_44.74_46.81.wav;SP_DID_234;SP_DID_234_2;44,744;46,806;Eu quase não vou ao cinema e teatro.;32991
+segmented_audios/SP_DID_234/0017_SP_DID_234.wav_47.27_48.09.wav;SP_DID_234;SP_DID_234_2;47,266;48,087;Às vezes eu vou.;13136
+segmented_audios/SP_DID_234/0022_SP_DID_234.wav_57.95_58.92.wav;SP_DID_234;SP_DID_234_2;57,955;58,916;Eu tenho ido ao teatro.;15375
+segmented_audios/SP_DID_234/0162_SP_DID_234.wav_524.63_525.64.wav;SP_DID_234;SP_DID_234_2;524,635;525,637;Deve ser como na televisão.;16032
+segmented_audios/SP_DID_234/0176_SP_DID_234.wav_604.75_608.25.wav;SP_DID_234;SP_DID_234_2;604,745;608,249;Então, no teatro, eu acho que é bem mais difícil.;56064
+segmented_audios/SP_DID_234/0178_SP_DID_234.wav_609.85_612.19.wav;SP_DID_234;SP_DID_234_2;609,851;612,194;A televisão é horrorosa quando eles estão fazendo programa.;37488
+segmented_audios/SP_DID_234/0210_SP_DID_234.wav_786.57_788.69.wav;SP_DID_234;SP_DID_234_2;786,571;788,694;Eu sei que não há preparação toda.;33968
+segmented_audios/SP_DID_234/0220_SP_DID_234.wav_829.21_830.99.wav;SP_DID_234;SP_DID_234_2;829,206;830,988;Porque o grupo que trabalha em Ré era enorme.;28512
+segmented_audios/SP_DID_234/0223_SP_DID_234.wav_836.27_841.04.wav;SP_DID_234;SP_DID_234_2;836,274;841,04;Tem a impressão que ali levou tanto tempo de ensaio?;76256
+segmented_audios/SP_DID_234/0232_SP_DID_234.wav_876.28_877.74.wav;SP_DID_234;SP_DID_234_2;876,278;877,739;Me chocou tremendamente.;23376
+segmented_audios/SP_DID_234/0275_SP_DID_234.wav_1034.67_1039.76.wav;SP_DID_234;SP_DID_234_2;1034,673;1039,758;Eu saber que o filme é bom, porque, por exemplo, nós temos tido filmes bons, né?;81360
+segmented_audios/SP_DID_234/0292_SP_DID_234.wav_1123.84_1124.70.wav;SP_DID_234;SP_DID_234_2;1123,841;1124,702;Eu gostei bastante.;13776
+segmented_audios/SP_DID_234/0305_SP_DID_234.wav_1213.75_1215.71.wav;SP_DID_234;SP_DID_234_2;1213,751;1215,714;Eu me lembro de vários filmes, não lembro os nomes.;31407
+segmented_audios/SP_DID_234/0310_SP_DID_234.wav_1224.51_1225.93.wav;SP_DID_234;SP_DID_234_2;1224,511;1225,933;Por isso que eu deixo de ir ao cinema.;22752
+segmented_audios/SP_DID_234/0316_SP_DID_234.wav_1240.81_1243.82.wav;SP_DID_234;SP_DID_234_3;1240,815;1243,819;Hoje está tudo meio louco, né?;48064
+segmented_audios/SP_DID_234/0324_SP_DID_234.wav_1256.14_1256.98.wav;SP_DID_234;SP_DID_234_2;1256,139;1256,98;Assisti em Araraquara.;13456
+segmented_audios/SP_DID_234/0325_SP_DID_234.wav_1257.72_1259.00.wav;SP_DID_234;SP_DID_234_2;1257,721;1259,002;Eu não lembro o nome do filme.;20495
+segmented_audios/SP_DID_234/0326_SP_DID_234.wav_1259.02_1259.84.wav;SP_DID_234;SP_DID_234_2;1259,022;1259,843;A molecada adorou.;13135
+segmented_audios/SP_DID_234/0327_SP_DID_234.wav_1260.68_1261.94.wav;SP_DID_234;SP_DID_234_2;1260,684;1261,945;Eles adoraram o filme.;20175
+segmented_audios/SP_DID_234/0341_SP_DID_234.wav_1303.16_1308.93.wav;SP_DID_234;SP_DID_234_2;1303,164;1308,931;Outro filme, ela... Porque eu saio cansada mesmo, fico numa tensão nervosa.;92272
+segmented_audios/SP_DID_234/0350_SP_DID_234.wav_1331.95_1332.99.wav;SP_DID_234;SP_DID_234_2;1331,954;1332,995;Nós saímos para ir ao teatro.;16655
+segmented_audios/SP_DID_234/0351_SP_DID_234.wav_1333.60_1336.26.wav;SP_DID_234;SP_DID_234_2;1333,596;1336,259;Não conseguimos entrar, por causa desse filme.;42608
+segmented_audios/SP_DID_234/0360_SP_DID_234.wav_1362.73_1365.19.wav;SP_DID_234;SP_DID_234_2;1362,727;1365,191;Eu acho que influi bastante.;39423
+segmented_audios/SP_DID_234/0404_SP_DID_234.wav_1598.25_1600.35.wav;SP_DID_234;SP_DID_234_2;1598,247;1600,35;Eu acho que teatro está bem mais caro.;33648
+segmented_audios/SP_DID_234/0408_SP_DID_234.wav_1612.21_1615.57.wav;SP_DID_234;SP_DID_234_3;1612,207;1615,572;Eu acho que o público prefere cinema ainda.;53839
+segmented_audios/SP_DID_234/0443_SP_DID_234.wav_1823.62_1824.98.wav;SP_DID_234;SP_DID_234_3;1823,616;1824,978; Eu não entendi a pergunta.;21792
+segmented_audios/SP_DID_234/0481_SP_DID_234.wav_1970.34_1974.36.wav;SP_DID_234;SP_DID_234_2;1970,338;1974,363;Sei lá, eu não tenho... Eu acho que o cinema está perdendo, viu?;64400
+segmented_audios/SP_DID_234/0497_SP_DID_234.wav_2044.34_2050.79.wav;SP_DID_234;SP_DID_234_2;2044,338;2050,788;O que eu noto é isso.;103200
+segmented_audios/SP_DID_234/0517_SP_DID_234.wav_2159.16_2160.53.wav;SP_DID_234;SP_DID_234_2;2159,163;2160,525;Principalmente nos fins de semana.;21792

test/test.zip

@@ -0,0 +1,3 @@
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+size 1695186