frappuccino commited on
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Fix viewer (root paths + pipe sep); apply emotion_final relabel (12 styles, drop yawn); author order; license v1.1
Browse files- LICENSE.md +2 -2
- README.md +8 -8
- metadata.csv +0 -0
- test.csv +0 -0
- train.csv +0 -0
- val.csv +0 -0
LICENSE.md
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@@ -9,7 +9,7 @@ restrictions. By downloading, accessing, or using the Dataset, you ("you" or the
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## 0. Definitions
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- **Licensors:** Ilya
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of the Dataset.
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- **Voice Talent:** the individuals whose voices are recorded in the Dataset, who
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have provided written informed consent to its open release and use (including
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You must give appropriate credit, indicate if changes were made, and cite the
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Dataset's accompanying publication:
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> I.
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> conversational Russian speech corpus for dialog assistants," in *Proc.
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> Interspeech*, 2026.
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## 0. Definitions
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- **Licensors:** Ilya Shigabeev and Ilya Latyshev, the authors and rights holders
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of the Dataset.
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- **Voice Talent:** the individuals whose voices are recorded in the Dataset, who
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have provided written informed consent to its open release and use (including
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You must give appropriate credit, indicate if changes were made, and cite the
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Dataset's accompanying publication:
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> I. Shigabeev and I. Latyshev, "Dialogs: a studio-quality expressive
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> conversational Russian speech corpus for dialog assistants," in *Proc.
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> Interspeech*, 2026.
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README.md
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@@ -26,11 +26,11 @@ configs:
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sep: "|"
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data_files:
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- split: train
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path:
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- split: validation
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path:
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- split: test
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path:
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---
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# Dialogs: A Studio-Quality Expressive Conversational Russian Speech Corpus
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performing scripted dialogs **face-to-face**, capturing natural turn-taking,
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timing, and expressive variation.
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Presented at **Interspeech 2026** — I.
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## Highlights
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- 🎙️ **20.6 hours**, **11,796 utterances**, avg. 6.3 s/utterance
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- 🗣️ **3 professional actors** — Masha (F, 9.9 h), Sveta (F, 4.4 h), Dima (M, 6.2 h)
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- 🎭 **
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tongue-twister, poem, whisper, arrogance,
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- 🔊 **Studio quality**: 44.1 kHz, 16-bit WAV, ~20 dBA ambient noise
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- 📊 **Ready-made splits**: train / validation / test = 11,428 / 180 / 188
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(19.9 h / 0.30 h / 0.37 h); test/dev stratified (5 per speaker per emotion)
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## Citation
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```bibtex
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@inproceedings{
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title = {Dialogs: A Studio-Quality Expressive Conversational Russian Speech Corpus for Dialog Assistants},
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author = {
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booktitle = {Proc. Interspeech},
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year = {2026}
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}
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sep: "|"
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data_files:
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- split: train
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path: train.csv
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- split: validation
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path: val.csv
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- split: test
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path: test.csv
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---
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# Dialogs: A Studio-Quality Expressive Conversational Russian Speech Corpus
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performing scripted dialogs **face-to-face**, capturing natural turn-taking,
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timing, and expressive variation.
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Presented at **Interspeech 2026** — I. Shigabeev and I. Latyshev (Langswap).
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## Highlights
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- 🎙️ **20.6 hours**, **11,796 utterances**, avg. 6.3 s/utterance
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- 🗣️ **3 professional actors** — Masha (F, 9.9 h), Sveta (F, 4.4 h), Dima (M, 6.2 h)
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- 🎭 **12 style/emotion labels** (neutral, happy, surprise, sad, disgust, angry,
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tongue-twister, poem, whisper, arrogance, laughing, fear)
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- 🔊 **Studio quality**: 44.1 kHz, 16-bit WAV, ~20 dBA ambient noise
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- 📊 **Ready-made splits**: train / validation / test = 11,428 / 180 / 188
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(19.9 h / 0.30 h / 0.37 h); test/dev stratified (5 per speaker per emotion)
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## Citation
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```bibtex
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@inproceedings{shigabeev2026dialogs,
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title = {Dialogs: A Studio-Quality Expressive Conversational Russian Speech Corpus for Dialog Assistants},
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author = {Shigabeev, Ilya and Latyshev, Ilya},
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booktitle = {Proc. Interspeech},
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year = {2026}
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}
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metadata.csv
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test.csv
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train.csv
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val.csv
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