Fix audio schema to struct<bytes,path> + add text transcripts + HF feature metadata

README.md

@@ -47,7 +47,8 @@ A curated pool of **2,000 English reference voices**, each a single 12–30 seco
 | `sub_pool` | string | Internal grouping (`controller`) |
 | `gender_hint` | string | Null for this release |
 | `language` | string | BCP-47 language tag (`en`) |
-| `audio` | binary | FLAC-encoded mono audio bytes |
+| `text` | string | Normalized transcript from LibriTTS-R (`text_normalized`) |
+| `audio` | Audio | FLAC-encoded mono at 24 kHz (Hub viewer plays it inline) |
 
 ## Selection procedure
 
@@ -64,10 +65,11 @@ from datasets import load_dataset
 
 ds = load_dataset("twangodev/radiotalk-voices-2k", split="train")
 row = ds[0]
-print(row["voice_id"], row["duration_s"])
-# Decode audio bytes
-import io, soundfile as sf
-audio, sr = sf.read(io.BytesIO(row["audio"]))
+print(row["voice_id"], row["duration_s"], row["text"][:60])
+# Audio is already decoded by `datasets` into {array, sampling_rate, path}
+audio = row["audio"]
+import soundfile as sf
+sf.write("out.wav", audio["array"], audio["sampling_rate"])
 ```
 
 ## License & attribution
@@ -85,4 +87,4 @@ If you use this dataset, please cite the upstream corpus:
 }
 ```
 
-See `NOTICE.md` for the full source attribution.
+See `NOTICE.md` for the full source attribution.

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manifest.json

@@ -1,8 +1,8 @@
 {
   "total_rows": 2000,
   "last_shard_index": 3,
-  "started_at": "2026-04-24T02:00:11+00:00",
-  "updated_at": "2026-04-24T02:01:33+00:00",
+  "started_at": "2026-04-24T03:02:35+00:00",
+  "updated_at": "2026-04-24T03:03:56+00:00",
   "seed": 42,
   "target": 2000,
   "sources": [