Add v2 configs and documentation for already speaker-disjoint languages

Akan, Amharic, Oromo, Sidama, Tigrinya, and Wolaytta were already
speaker-disjoint in their original (v1) datasets with 0% speaker
leakage in eval splits.

This update:
1. Adds dedicated _v2 configs in the dataset metadata for these six
languages (aka_asr_v2, amh_asr_v2, orm_asr_v2, sid_asr_v2,
tir_asr_v2, wal_asr_v2) pointing directly to the original data files.
2. Documents in the dataset card that these languages do not require
the v2 split-map re-filtering and can be loaded directly from the
original splits.

README.md

@@ -390,6 +390,66 @@ configs:
   #       path: data/TTS/wol/wol-validation-*
   #     - split: test
   #       path: data/TTS/wol/wol-test-*
+  - config_name: aka_asr_v2
+    data_files:
+      - split: train
+        path: data/ASR/aka/aka-train-*
+      - split: validation
+        path: data/ASR/aka/aka-validation-*
+      - split: test
+        path: data/ASR/aka/aka-test-*
+      - split: unlabeled
+        path: data/ASR/aka/aka-unlabeled-*
+  - config_name: amh_asr_v2
+    data_files:
+      - split: train
+        path: data/ASR/amh/amh-train-*
+      - split: validation
+        path: data/ASR/amh/amh-validation-*
+      - split: test
+        path: data/ASR/amh/amh-test-*
+      - split: unlabeled
+        path: data/ASR/amh/amh-unlabeled-*
+  - config_name: orm_asr_v2
+    data_files:
+      - split: train
+        path: data/ASR/orm/orm-train-*
+      - split: validation
+        path: data/ASR/orm/orm-validation-*
+      - split: test
+        path: data/ASR/orm/orm-test-*
+      - split: unlabeled
+        path: data/ASR/orm/orm-unlabeled-*
+  - config_name: sid_asr_v2
+    data_files:
+      - split: train
+        path: data/ASR/sid/sid-train-*
+      - split: validation
+        path: data/ASR/sid/sid-validation-*
+      - split: test
+        path: data/ASR/sid/sid-test-*
+      - split: unlabeled
+        path: data/ASR/sid/sid-unlabeled-*
+  - config_name: tir_asr_v2
+    data_files:
+      - split: train
+        path: data/ASR/tir/tir-train-*
+      - split: validation
+        path: data/ASR/tir/tir-validation-*
+      - split: test
+        path: data/ASR/tir/tir-test-*
+      - split: unlabeled
+        path: data/ASR/tir/tir-unlabeled-*
+  - config_name: wal_asr_v2
+    data_files:
+      - split: train
+        path: data/ASR/wal/wal-train-*
+      - split: validation
+        path: data/ASR/wal/wal-validation-*
+      - split: test
+        path: data/ASR/wal/wal-test-*
+      - split: unlabeled
+        path: data/ASR/wal/wal-unlabeled-*
 dataset_info:
   - config_name: ach_asr
     features:
@@ -909,6 +969,90 @@ dataset_info:
         dtype: string
       - name: audio
         dtype: audio
+  - config_name: aka_asr_v2
+    features:
+      - name: id
+        dtype: string
+      - name: speaker_id
+        dtype: string
+      - name: transcription
+        dtype: string
+      - name: language
+        dtype: string
+      - name: gender
+        dtype: string
+      - name: audio
+        dtype: audio
+  - config_name: amh_asr_v2
+    features:
+      - name: id
+        dtype: string
+      - name: speaker_id
+        dtype: string
+      - name: transcription
+        dtype: string
+      - name: language
+        dtype: string
+      - name: gender
+        dtype: string
+      - name: audio
+        dtype: audio
+  - config_name: orm_asr_v2
+    features:
+      - name: id
+        dtype: string
+      - name: speaker_id
+        dtype: string
+      - name: transcription
+        dtype: string
+      - name: language
+        dtype: string
+      - name: gender
+        dtype: string
+      - name: audio
+        dtype: audio
+  - config_name: sid_asr_v2
+    features:
+      - name: id
+        dtype: string
+      - name: speaker_id
+        dtype: string
+      - name: transcription
+        dtype: string
+      - name: language
+        dtype: string
+      - name: gender
+        dtype: string
+      - name: audio
+        dtype: audio
+  - config_name: tir_asr_v2
+    features:
+      - name: id
+        dtype: string
+      - name: speaker_id
+        dtype: string
+      - name: transcription
+        dtype: string
+      - name: language
+        dtype: string
+      - name: gender
+        dtype: string
+      - name: audio
+        dtype: audio
+  - config_name: wal_asr_v2
+    features:
+      - name: id
+        dtype: string
+      - name: speaker_id
+        dtype: string
+      - name: transcription
+        dtype: string
+      - name: language
+        dtype: string
+      - name: gender
+        dtype: string
+      - name: audio
+        dtype: audio
 ---
 
 # Waxal Datasets
@@ -1117,7 +1261,24 @@ release of the recordings.
 `data/ASR_v2/metadata/split_comparison.csv`, and the full provenance -- seed,
 source revision, every parameter -- in `metadata/splits_manifest.json`.
 
-#### Reading v2
+#### Already speaker-disjoint languages (Akan, Amharic, Oromo, Sidama, Tigrinya, Wolaytta)
+
+Six languages were **already speaker-disjoint in the original (v1) datasets** and did not require a re-split:
+- **Amharic (`amh`)**, **Oromo (`orm`)**, **Sidama (`sid`)**, **Tigrinya (`tir`)**, and **Wolaytta (`wal`)** (Digital Umuganda) already had 0.00% speaker leakage between `train` and `validation`/`test`.
+- **Akan (`aka`)** (University of Ghana) already had 0.00% speaker leakage in its `test` split.
+
+For these six languages, v2 directly points to the original dataset splits. You can load them directly via their v2 configs (`aka_asr_v2`, `amh_asr_v2`, `orm_asr_v2`, `sid_asr_v2`, `tir_asr_v2`, `wal_asr_v2`) or their original configs without the split map re-labelling procedure:
+
+```python
+from datasets import load_dataset
+
+# Direct loading for already speaker-disjoint languages (e.g. Amharic)
+ds_test = load_dataset("google/WaxalNLP", "amh_asr_v2", split="test")
+# Or equivalently using the original config:
+# ds_test = load_dataset("google/WaxalNLP", "amh_asr", split="test")
+```
+
+#### Reading v2 (for re-partitioned languages)
 
 Read the existing ASR configs and re-label each row from the split map: