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Datasets:
prathoshap
/
vagdhenu-data

Tasks:
Text-to-Speech
Modalities:
Audio
Text
Formats:
soundfolder
Languages:
Sanskrit
Size:
1K - 10K
Libraries:
Datasets
License:
Dataset card Data Studio Files
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  1. .DS_Store +0 -0
  2. README.md +50 -0
  3. style_a/.DS_Store +0 -0
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+ ---
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+ license: cc-by-4.0
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+ task_categories:
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+ - text-to-speech
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+ language:
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+ - sa
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+ pretty_name: Vāgdhenu — Sanskrit Chant Corpus
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+ size_categories:
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+ - 1K<n<10K
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+ configs:
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+ - config_name: style_a
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+ data_files: style_a/**
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+ - config_name: style_b
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+ data_files: style_b/**
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+ ---
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+
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+ # Vāgdhenu — Sanskrit Chant Corpus
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+
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+ A single-speaker **Sanskrit chant (pārāyaṇa) recording corpus** — classical ślokas chanted with tradition-faithful prosody and metrically-aware durations. Training data behind the [Vāgdhenu Sanskrit Chant TTS](https://github.com/prathoshap/vagdhenu).
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+
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+ **~1,467 clips · ~5.3 hours · 24 kHz mono.** One reciter (the author); classical śāstra chant, no Vedic svaras. Two configs (two cutting/normalization passes over the recording sessions, **largely different verses**):
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+
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+ | config | clips | hours | sources (sessions) | metadata |
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+ |---|---|---|---|---|
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+ | **`style_b`** | 703 | 2.64 | Sumadhvavijaya, MBTN adh 4–7, Vāyustuti, Narasiṃha, Rudra, maṅgala | deva · slp1 · kannada · **meter** · n_syll · session · take |
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+ | **`style_a`** | 764 | 2.70 | MBTN adh 1–3 & 7, Sumadhvavijaya, Narasiṃha, Śiva, Vāyustuti, maṅgala | deva · slp1 · kannada · duration · session |
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+
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+ ```python
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+ from datasets import load_dataset
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+ ds = load_dataset("prathoshap/vagdhenu-data", "style_b") # or "style_a"
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+ ```
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+
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+ ## Format (AudioFolder, per config)
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+ ```
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+ style_a/ audio/<clip>.wav + metadata.csv
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+ style_b/ audio/<clip>.wav + metadata.csv
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+ ```
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+ `metadata.csv` columns: `file_name`, `text_devanagari`, `text_slp1`, `text_kannada` (Kannada-routed model input), `meter` (style_b), `duration`, `n_syll` (style_b), `session`, `take`.
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+
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+ ## Recording protocol (the hard-won rules — part of the contribution)
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+ - One room, one large-diaphragm condenser, fixed ~15–20 cm + pop filter, noise floor ≤ −60 dB, **24-bit/48 kHz** (→ 24 kHz), peaks ~ −6 dB, lossless WAV. A **tanpura/śruti drone in the monitor** anchors Sa across sessions (**not** in the recordings).
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+ - Natural pārāyaṇa delivery; steady pace/register; slight natural tempo variation welcome.
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+ - **Word-boundary rule:** *no audible gaps between words within a pāda* — each pāda is one continuous breath-group; **pause only at a daṇḍa** (`।` short, `॥` longer). In long meters, one silent breath at the **yati** (caesura), at the same fixed position every clip.
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+ - Phonetic emphasis: hold long vowels, sustain terminal visarga, articulate retroflex ṇ/ṣ/ṭ/ḍ, audible aspiration, hold geminates, keep conjuncts (sph/kṣ/jñ/hr/dr) crisp.
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+
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+ ## Intended use
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+ Training/fine-tuning Sanskrit chant TTS; prosody/meter research; study and accessibility. Use responsibly; do not impersonate the speaker.
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+
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+ ## License & attribution
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+ **CC-BY-4.0.** The voice and recordings are the author's own. Please cite *Vāgdhenu* (BibTeX added with the technical report).
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