Update README.md

README.md

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-## Recommended use cases
-
-- **Multilingual ASR pretraining and fine-tuning**, especially for languages with no MLS / VoxPopuli coverage.
-- **Multilingual TTS pretraining**, after filtering on DNSMOS / SNR / CER.
-- **Long-form / streaming ASR**, since `source_start_s` / `source_end_s` allow reconstruction of original session context.
-- **Speech enhancement**, using the wide DNSMOS distribution as an in-distribution quality range.
-
----
-
-## Known limitations
-
-- **Domain skew toward formal speech.** Parliamentary, broadcast, and read-audiobook content dominate. Conversational and spontaneous speech are under-represented.
-- **Speaker imbalance.** Several configs are dominated by a small number of frequent speakers (e.g. regular parliamentary members, prolific audiobook narrators). No per-speaker labels are provided.
-- **Alignment uncertainty.** Human transcripts are aligned to audio via ASR; segment boundaries inherit ASR alignment error. The `cer` field gives a per-segment estimate.
-- **Variable audio quality.** Median DNSMOS OVR is 2.84, with substantial variance. Filter aggressively for TTS-grade work.
-- **11 languages have < 10 hours** (`grc`, `mi`, `ml`, `mr`, `nr`, `nso`, and others). Treat these as evaluation or token-coverage signal rather than training data.
-- **Five RFA configs are metadata-only.** See the embedding caveat at the top.
-
----
-
 ## Configs
 
 113 configs total, sorted by hours descending.
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-## Roadmap
-
-- [ ] **v1.1** — speaker-disjoint held-out evaluation split
-- [ ] **v1.1** — per-row machine-readable license field
-- [ ] **v1.2** — speaker diarization labels for parliamentary configs
-- [ ] **v1.2** — WorldSpeech-Eval companion leaderboard with contamination-protected test sets
-- [ ] **v2** — expansion of low-resource African and Indigenous-language configs
-
----
 
 ## Citation