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‎README.md

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@@ -48,27 +48,27 @@ Let's make STT in Russian (and more) as open and available as CV models.
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# **Dataset composition**
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| Dataset | Utterances | Hours | GB | Av s/chars | Comment | Annotation | Quality/noise |
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|--------------------------|------------|--------|-------|-------------|-------------------------|-------------------|---------------------|
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| radio_v4 | 7,603,192 | 10,430 | 1,195 | 4.94s / 68 | Radio | Alignment (*) | 95% / crisp |
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| public_speech | 1,700,060 | 2,709 | 301 | 5,73s / 79 | Public speech | Alignment (*) | 95% / crisp |
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| audiobook_2 | 1,149,404 | 1,511 | 162 | 4.7s / 56 | Books | Alignment (*) | 95% / crisp |
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| radio_2 | 651,645 | 1,439 | 154 | 7.95s / 110 | Radio | Alignment (*) | TBC, should be high |
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| public_youtube1120 | 1,410,979 | 1,104 | 237 | 2.82s / 34 | Youtube videos | Subtitles | 95% / ~crisp |
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| public_youtube700 | 759,483 | 701 | 75 | 3.3s / 43 | Youtube videos | Subtitles | 95% / ~crisp |
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| tts_russian_addresses | 1,741,838 | 754 | 81 | 1.6s / 20 | Russian addresses | TTS 4 voices | 100% / crisp |
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| asr_public_phone_calls_2 | 603,797 | 601 | 66 | 3.6s / 37 | Phone calls | ASR | 70% / noisy |
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| public_youtube1120_hq | 369,245 | 291 | 31 | 2.84s / 37 | YouTube videos HQ sound | Subtitles | 95% / ~crisp |
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| asr_public_phone_calls_1 | 233,868 | 211 | 23 | 3.3s / 29 | Phone calls | ASR | 70% / noisy |
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| radio_v4_add | 92,679 | 157 | 18 | 6.1s / 80 | Radio | Alignment (*) | 95% / crisp |
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| asr_public_stories_2 | 78,186 | 78 | 9 | 3.5s / 43 | Books | ASR | 80% / crisp |
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| asr_public_stories_1 | 46,142 | 38 | 4 | 3.0s / 30 | Books | ASR | 80% / crisp |
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| public_series_1 | 20,243 | 17 | 2 | 3.1s / 38 | Youtube videos | Subtitles | 95% / ~crisp |
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| asr_calls_2_val | 12,950 | 7,7 | 2 | 2.15s / 34 | Phone calls | Manual annotation | 99% / crisp |
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| public_lecture_1 | 6,803 | 6 | 1 | 3.4s / 47 | Lectures | Subtitles | 95% / crisp |
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| buriy_audiobooks_2_val | 7,850 | 4,9 | 1 | 2.25s / 31 | Books | Manual annotation | 99% / crisp |
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| public_youtube700_val | 7,311 | 4,5 | 1 | 2.2 / 35 | Youtube videos | Manual annotation | 99% / crisp |
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| Total | 16,513,202‬ | 20,108 | 2,369 | | | | |
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| Dataset | Utterances | Hours | GB | Secs/chars | Comment | Annotation | Quality/noise |
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|--------------------------|------------|--------|-------|------------|---------------|-------------------|---------------|
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| radio_v4 | 7,603,192 | 10,430 | 1,195 | 5s / 68 | Radio | Align (*) | 95% / crisp |
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| public_speech | 1,700,060 | 2,709 | 301 | 6s / 79 | Public speech | Align (*) | 95% / crisp |
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| audiobook_2 | 1,149,404 | 1,511 | 162 | 5s / 56 | Books | Align (*) | 95% / crisp |
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| radio_2 | 651,645 | 1,439 | 154 | 8s / 110 | Radio | Align (*) | 95% / crisp |
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| public_youtube1120 | 1,410,979 | 1,104 | 237 | 3s / 34 | Youtube | Subtitles | 95% / ~crisp |
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| public_youtube700 | 759,483 | 701 | 75 | 3s / 43 | Youtube | Subtitles | 95% / ~crisp |
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| tts_russian_addresses | 1,741,838 | 754 | 81 | 2s / 20 | Addresses | TTS 4 voices | 100% / crisp |
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| asr_public_phone_calls_2 | 603,797 | 601 | 66 | 4s / 37 | Phone calls | ASR | 70% / noisy |
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| public_youtube1120_hq | 369,245 | 291 | 31 | 3s / 37 | YouTube HQ | Subtitles | 95% / ~crisp |
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| asr_public_phone_calls_1 | 233,868 | 211 | 23 | 3s / 29 | Phone calls | ASR | 70% / noisy |
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| radio_v4_add | 92,679 | 157 | 18 | 6s / 80 | Radio | Align (*) | 95% / crisp |
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| asr_public_stories_2 | 78,186 | 78 | 9 | 4s / 43 | Books | ASR | 80% / crisp |
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| asr_public_stories_1 | 46,142 | 38 | 4 | 3s / 30 | Books | ASR | 80% / crisp |
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| public_series_1 | 20,243 | 17 | 2 | 3s / 38 | Youtube | Subtitles | 95% / ~crisp |
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| asr_calls_2_val | 12,950 | 7,7 | 2 | 2s / 34 | Phone calls | Manual annotation | 99% / crisp |
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| public_lecture_1 | 6,803 | 6 | 1 | 3s / 47 | Lectures | Subtitles | 95% / crisp |
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| buriy_audiobooks_2_val | 7,850 | 4,9 | 1 | 2s / 31 | Books | Manual annotation | 99% / crisp |
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| public_youtube700_val | 7,311 | 4,5 | 1 | 2s / 35 | Youtube | Manual annotation | 99% / crisp |
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| Total | 16,513,202‬ | 20,108 | 2,369 | | | | |
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**(*) Automatic alignment**
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