| from datasets import GeneratorBasedBuilder, DatasetInfo, SplitGenerator, Split, Features, Value, Audio,SplitGenerator, Split | |
| import os | |
| import json | |
| import csv | |
| import datasets | |
| from datasets.utils.py_utils import size_str | |
| from tqdm import tqdm | |
| _BASE_URL = "https://huggingface.co/datasets/iulik-pisik/horoscop_urania/resolve/main/" | |
| _AUDIO_URL = _BASE_URL + "audio.tar" | |
| _TRANSCRIPT_URL = _BASE_URL + "transcript.tsv" | |
| class HoroscopUrania(GeneratorBasedBuilder): | |
| def _info(self): | |
| return DatasetInfo( | |
| description="Descrierea datasetului tău.", | |
| features=Features({ | |
| "path": Value("string"), | |
| "audio": Audio(sampling_rate=16000), | |
| "sentence": Value("string"), | |
| }), | |
| supervised_keys=("audio", "transcript"), | |
| homepage="https://huggingface.co/datasets/iulik-pisik/horoscop_urania", | |
| citation="Referința de citare a datasetului", | |
| ) | |
| def _split_generators(self, dl_manager): | |
| downloaded_audio_files = dl_manager.download_and_extract(_AUDIO_URL) | |
| downloaded_tsv_files = dl_manager.download(_TRANSCRIPT_URL) | |
| return [ | |
| SplitGenerator( | |
| name=Split.DATA, | |
| gen_kwargs={ | |
| "archive_path": downloaded_audio_files, | |
| "tsv_path": downloaded_tsv_files, | |
| }, | |
| ), | |
| ] | |
| def _generate_examples(self, archive_path, tsv_path): | |
| with open(tsv_path, encoding="utf-8") as f: | |
| reader = csv.DictReader(f, delimiter="\t", quoting=csv.QUOTE_NONE) | |
| for row in tqdm(reader, desc="Se citesc datele..."): | |
| audio_file_name = row["path"] | |
| audio_path = os.path.join(archive_path, audio_file_name) | |
| if not os.path.isfile(audio_path): | |
| continue | |
| yield audio_file_name, { | |
| "path": audio_path, | |
| "audio": audio_path, | |
| "sentence": row["sentence"], | |
| } |