| --- |
| language: |
| - en |
| --- |
| |
| # Marathi Sentence-Level ASR Dataset |
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| ## 📌 Overview |
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| This dataset contains sentence-level Marathi speech segments aligned with transcripts. |
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| The dataset was created by extracting subtitle timestamps (SRV3 format) from Marathi YouTube content and segmenting the corresponding audio using precise time alignment. |
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| Each sample contains: |
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| - A WAV audio file (sentence-level) |
| - The corresponding Marathi transcript text |
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| This dataset is suitable for: |
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| - Whisper fine-tuning |
| - Wav2Vec2 CTC training |
| - Marathi speech recognition research |
| - ASR benchmarking |
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|
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| ## 📊 Dataset Statistics |
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| - Language: Marathi (mr) |
| - Alignment Level: Sentence-level |
| - Format: WAV (mono) |
| - Metadata format: Hugging Face `audiofolder` |
| - Number of samples: ~8,900+ |
| - Segment duration range: ~2–20 seconds |
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| > Exact dataset size may vary depending on filtering thresholds. |
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| --- |
|
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| ## 📂 Dataset Structure |
| HF_Dataset_Sentences/ |
| └── train/ |
| ├── audio/ |
| │ ├── 00001.wav |
| │ ├── 00002.wav |
| │ └── ... |
| └── metadata.csv |
|
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| ### metadata.csv format |
| file_name,text |
| audio/00001.wav,नमस्कार मी भाऊ तोरसेकर |
| audio/00002.wav,आज आपण चर्चा करणार आहोत |
| --- |
| |
| ## 🛠 Data Creation Process |
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| 1. Audio downloaded from publicly available Marathi YouTube content. |
| 2. Subtitles extracted in SRV3 format. |
| 3. Sentence blocks (`<p>` tags) parsed for start and duration. |
| 4. Audio segmented using timestamp alignment. |
| 5. Text normalized and saved in Hugging Face `audiofolder` format. |
| |
| --- |
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| ## 🎯 Intended Use |
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| This dataset is intended for: |
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| - Academic research |
| - Marathi ASR system development |
| - Speech model fine-tuning |
| - Low-resource language modeling |
