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The task_ids "automatic-speech-recognition" is not in the official list: acceptability-classification, entity-linking-classification, fact-checking, intent-classification, language-identification, multi-class-classification, multi-label-classification, multi-input-text-classification, natural-language-inference, semantic-similarity-classification, sentiment-classification, topic-classification, semantic-similarity-scoring, sentiment-scoring, sentiment-analysis, hate-speech-detection, text-scoring, named-entity-recognition, part-of-speech, parsing, lemmatization, word-sense-disambiguation, coreference-resolution, extractive-qa, open-domain-qa, closed-domain-qa, news-articles-summarization, news-articles-headline-generation, dialogue-modeling, dialogue-generation, conversational, language-modeling, text-simplification, explanation-generation, abstractive-qa, open-domain-abstractive-qa, closed-domain-qa, open-book-qa, closed-book-qa, slot-filling, masked-language-modeling, keyword-spotting, speaker-identification, audio-intent-classification, audio-emotion-recognition, audio-language-identification, multi-label-image-classification, multi-class-image-classification, face-detection, vehicle-detection, instance-segmentation, semantic-segmentation, panoptic-segmentation, image-captioning, image-inpainting, image-colorization, super-resolution, grasping, task-planning, tabular-multi-class-classification, tabular-multi-label-classification, tabular-single-column-regression, rdf-to-text, multiple-choice-qa, multiple-choice-coreference-resolution, document-retrieval, utterance-retrieval, entity-linking-retrieval, fact-checking-retrieval, univariate-time-series-forecasting, multivariate-time-series-forecasting, visual-question-answering, document-question-answering, pose-estimation
Uzbek Speech-to-Text Dataset
Maqsad
Ushbu dataset O‘zbekiston tilidagi nutqni matnga aylantirish (Speech-to-Text) bo‘yicha modellarni o‘qitish va baholash uchun yaratilgan. Bu dataset avtomatik nutqni aniqlash (ASR) texnologiyalarini rivojlantirish maqsadida ishlab chiqilgan.
Strukturasi
Dataset quyidagi tuzilishga ega:
audio/: Audio fayllar saqlanadigan papka.meta.csv: Audio fayllar va ularga mos transkripsiyalarni bog‘lovchi meta fayl.- Transkripsiyalar: Har bir audio fayl uchun to‘g‘ri yozilgan matn.
meta.csv Fayl Tuzilishi
| id | path | sentence |
|---|---|---|
| 1 | audio/audio_0001/00000001.wav | Bolalar maydonchalari qurilgan. |
| 2 | audio/audio_0002/00000002.wav | Ro‘yxatni Matiz boshqarmoqda. |
Foydalanish
Datasetni yuklab olish va ishlatish uchun quyidagi kodni ishlating:
from datasets import load_dataset
# Datasetni yuklash
dataset = load_dataset("username/dataset-name")
# Train qismidagi birinchi yozuvni ko‘rsatish
print(dataset["train"][0])
# Audio faylni o‘qish va tinglash
audio = dataset["train"][0]["audio"]["array"]
print("Audio:", audio)
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