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Speech_to_fine_tuning

Tasks:
Automatic Speech Recognition
Text-to-Audio
Modalities:
Audio
Text
Formats:
parquet
Languages:
Uzbek
Size:
10K - 100K
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Duplicate from nickoo004/FeruzaSpeech_to_fine_tuning

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Co-authored-by: Nicholas <nickoo004@users.noreply.huggingface.co>

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+ ---
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+ dataset_info:
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+ features:
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+ - name: audio
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+ dtype: audio
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+ - name: text
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+ dtype: string
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+ - name: duration
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+ dtype: float64
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+ - name: token_count
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+ dtype: int64
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+ splits:
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+ - name: train
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+ num_bytes: 5374523458.74
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+ num_examples: 11444
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+ - name: dev
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+ num_bytes: 338070338
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+ num_examples: 648
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+ - name: test
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+ num_bytes: 470470140
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+ num_examples: 899
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+ download_size: 13334454656
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+ dataset_size: 6183063936.74
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: data/train-*
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+ - split: dev
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+ path: data/dev-*
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+ - split: test
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+ path: data/test-*
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+ license: apache-2.0
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+ task_categories:
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+ - automatic-speech-recognition
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+ - text-to-audio
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+ language:
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+ - uz
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+ pretty_name: FeruzaSpeech
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+ size_categories:
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+ - 10K<n<100K
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+ ---
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+
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+ # FeruzaSpeech_to_fine_tuning
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+
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+ A speech corpus of **⏱️ ~59.1 total hours** of Uzbek audio paired with Latin‑script transcripts, intended for fine‑tuning ASR / speech‑to‑text models.
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+
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+ ---
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+
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+ ## Dataset Details
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+
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+ ### Dataset Description
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+
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+ This dataset contains recordings of native Uzbek speakers reading a mix of classical literature excerpts and school‑level writing prompts:
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+
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+ - **001**: Choliqushi (a novel by Rashod Nuri Guntekin, trans. by Mirzakalon Ismoiliy; first pub. Sept 1900).
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+ - **002**: Excerpts from Uzbek secondary‑school essays (“To‘rtinchi sinfda edim…”, “Hayotdagi ilk xotiralaringizni yozing…”).
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+ - .....
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+
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+ Each line in `text_latin.txt` is of the form:
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+
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+
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+
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+
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+
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+
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+
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+
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+ //
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+
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+
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+ We strip the filename prefix in preprocessing so that the `text` field contains only the spoken words.
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+
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+ ### Dataset Statistics
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+
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+ | Split | # Examples | Total Size | Approx. Duration |
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+ |-------|-----------:|-----------:|-----------------:|
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+ | train | 11 444 | 5.37 GB | 52.09 hours |
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+ | dev | 648 | 0.34 GB | 2.93 hours |
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+ | test | 899 | 0.47 GB | 4.08 hours |
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+
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+
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+ ## Dataset Creation
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+
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+ ### Curation Rationale
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+
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+ We aim to provide a high‑quality, publicly available Uzbek ASR dataset combining both literary and educational domains to improve model robustness.
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+
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+ ### Source Data
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+
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+ - Audio recorded in a quiet home‑studio environment, 16 kHz mono WAV, 16‑bit PCM.
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+ - Transcripts created from existing texts (classical novels, school writing prompts).
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+
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+ ### Who Are the Source Data Producers?
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+
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+ - **Recordings & Transcriptions by:** k2speech/FeruzaSpeech
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+ - **Translators / Editors:** Nickoo 004
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+
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+ ## Uses
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+
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+ ### Direct Use
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+
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+ Fine‑tuning or evaluating speech‑to‑text/ASR models for Uzbek. It’s also suitable for speech processing research (voice activity detection, speaker diarization, etc.).
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+
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+ ### Out‑of‑Scope Use
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+
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+ - Speaker identification / sensitive demographic inference.
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+ - Real‑time speech generation.
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+
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+ ## Supported Tasks and Leaderboards
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+
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+ - **Task:** Automatic Speech Recognition
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+
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+ ## Dataset Structure
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+
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+ Each example has the following fields:
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+
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+ - `audio`: an `Audio` object (`array` + `sampling_rate`)
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+ - `text`: Latin‑script transcript, cleaned of filename tokens
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+ - `duration`: audio length in seconds
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+ - `token_count`: length of the transcript in raw word‑piece tokens
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+
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+ ## Distribution
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+
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+ - **License:** Apache 2.0
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+ - **Repository:** https://huggingface.co/datasets/nickoo004/FeruzaSpeech_to_fine_tuning
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+
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+ ## Who Maintains This Dataset
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+
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+ - **Created and maintained by:** Nickoo 004
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+ - **Last updated:** 2025‑05‑02
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+ - **Contact & Social:**
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+ - Email: nursultankoshekbaev477@gmail.com
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+
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+ ## Citation
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+
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+ If you use this dataset, please cite:
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+
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+ ```bibtex
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+ @misc{feruzaspeech2025,
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+ title = {FeruzaSpeech\_to\_fine\_tuning: An Uzbek ASR Dataset},
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+ author = {Nickoo\, 004},
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+ year = {2025},
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+ howpublished = {\url{https://huggingface.co/datasets/nickoo004/FeruzaSpeech_to_fine_tuning}},
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+ license = {Apache 2.0}
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+ }
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