Document DSN hours gap (long-form clips excluded by 1-30s filter)
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README.md
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@@ -30,6 +30,14 @@ empty/garbage transcripts and undecodable audio were dropped at ingestion. Text
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lightly normalized (Unicode NFC, whitespace/punctuation cleanup) but **tones, digits,
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and code-switching are preserved** — nothing is stripped or transliterated.
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## Format
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The dataset ships as **WebDataset-style tar shards** (`shards/shard-00000.tar` …
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lightly normalized (Unicode NFC, whitespace/punctuation cleanup) but **tones, digits,
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and code-switching are preserved** — nothing is stripped or transliterated.
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**Note on DSN's hours specifically:** DSN African Voices' own published totals per
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language run higher than what's reflected in this source's contribution here. This is
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an intentional effect of the 1–30 second clip-length filter, not an error — DSN's raw
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export includes long-form spontaneous recordings up to several minutes long, dropped
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entirely rather than split (confirmed directly on the Hausa sibling release; see
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[Professor/hausa-speech-data](https://huggingface.co/datasets/Professor/hausa-speech-data)'s
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card for the full investigation). The same DSN ingest script and filter were used here.
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## Format
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The dataset ships as **WebDataset-style tar shards** (`shards/shard-00000.tar` …
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