Fix README data_fields so HF Viewer renders audio properly

README.md

@@ -1,49 +1 @@
----
-license: cc-by-4.0
-language:
-  - lt
-task_categories:
-  - automatic-speech-recognition
-  - text-to-speech
-pretty_name: LIEPA-3 Lithuanian Speech Corpus
-configs:
-  - config_name: read
-    data_files:
-      - split: train
-        path: data/read/train-*.parquet
-  - config_name: spon
-    data_files:
-      - split: train
-        path: data/spon/train-*.parquet
-  - config_name: dial
-    data_files:
-      - split: train
-        path: data/dial/train-*.parquet
----
-
-# LIEPA-3 Lithuanian Speech Corpus
-
-This repository repackages the original LIEPA-3 release into Hugging Face
-Parquet shards with embedded FLAC audio bytes. The original transcriptions are
-kept as released: normalized lowercase Lithuanian text without punctuation,
-digits, capitalization, or other symbols.
-
-Recommended use:
-
-- `read`: cleanest subset and the default starting point for TTS or ASR.
-- `spon`: spontaneous/broadcast/media speech; useful for ASR, not a clean TTS default.
-- `dial`: dialect subset.
-- `phon`: file-level phonetic metadata with TextGrid paths and utterance lists.
-
-Example:
-
-```python
-from datasets import Audio, load_dataset
-
-ds = load_dataset("ORG/REPO", "read", split="train", streaming=True)
-ds = ds.cast_column("audio", Audio(sampling_rate=16000))
-```
-
-Recent `datasets` versions decode `Audio` via `torchcodec`, so install
-`datasets`, `torch`, and `torchcodec` in training environments. If a pipeline
-already decodes FLAC itself, use `audio["bytes"]` directly.
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