Datasets:
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README.md
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## Dataset Overview
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| Total hours (incl. metadata-only) | 53,635 |
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| Embedded-audio hours | ~49,694 |
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## Recommended use cases
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- **Multilingual ASR pretraining and fine-tuning**, especially for languages outside MLS / VoxPopuli coverage.
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- **Multilingual TTS pretraining**, after filtering on DNSMOS / SNR / CER.
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- **Long-form / streaming ASR**, since `source_start_s` / `source_end_s` allow reconstruction of original session context.
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- **Speech enhancement**, using the wide DNSMOS distribution as an in-distribution quality range.
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## Known limitations
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- **Domain skew.** Parliamentary, broadcast, and read-audiobook content dominate. Conversational speech is under-represented.
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- **Speaker imbalance.** Several configs are dominated by a small number of frequent speakers. No per-speaker labels are provided.
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- **Alignment uncertainty.** Human transcripts are aligned via ASR; the `cer` field gives a per-segment quality estimate.
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- **Variable audio quality.** Weighted avg DNSMOS OVR is 2.82, with substantial variance. Filter aggressively for TTS-grade work.
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- **11 languages have < 10 hours** (`grc`, `mi`, `ml`, `mr`, `nr`, `nso`, `pa`, `ss`, `st`, `ts`, `ve`). Treat these as evaluation signal rather than training data.
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- **Five RFA configs are metadata-only.** See embedding caveat above.
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## Ethical considerations
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Sources are public records (parliaments, courts, broadcasters, public-domain audiobooks). Speakers are public figures speaking in their official capacity. No private conversations or non-consensual material are included. Configs with non-commercial-only upstream terms (UN, ICC, Vatican Radio, RFA, RFE/RL) are flagged in the Licenses table.
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If you identify content that should not have been included, open an issue and we will action takedowns within 30 days.
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## Configs
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113 configs total, sorted by hours descending.
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## Dataset Overview
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| Total hours (incl. metadata-only) | 53,635 |
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| Embedded-audio hours | ~49,694 |
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## Configs
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113 configs total, sorted by hours descending.
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