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README.md

@@ -1,40 +1,76 @@
 ---
 license: cc-by-sa-4.0
-dataset_info:
-  features:
-  - name: audio
-    dtype:
-      audio:
-        sampling_rate: 16000
-  - name: text
-    dtype: string
-  - name: lang
-    dtype: string
-  - name: source
-    dtype: string
-  - name: license
-    dtype: string
-  - name: duration
-    dtype: float32
-  splits:
-  - name: train
-    num_bytes: 21537745496.30427
-    num_examples: 113126
-  - name: validation
-    num_bytes: 2393357836.695729
-    num_examples: 12571
-  - name: test
-    num_bytes: 3128703650.25
-    num_examples: 17054
-  download_size: 25555076951
-  dataset_size: 27059806983.25
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: validation
-    path: data/validation-*
-  - split: test
-    path: data/test-*
+language:
+- wo
+- ff
+- bm
+task_categories:
+- automatic-speech-recognition
+pretty_name: Bocalantics
+tags:
+- west-african
+- wolof
+- pulaar
+- fula
+- bambara
+- asr
+- speech
+- low-resource
+size_categories:
+- 100K<n<1M
 ---
+
+# Bocalantics
+
+One normalized, license-clean speech corpus for **West African languages** —
+Wolof, Pulaar/Fula, and Bambara — merged from the fragmented community datasets
+into a single source you can train on anywhere with `load_dataset`.
+
+West African languages are spoken by one interconnected, multilingual people;
+Bocalantics treats them as one corpus so a single model can learn across them.
+
+## Schema
+| field | type |
+|---|---|
+| `audio` | Audio (16 kHz) |
+| `text` | string — the transcription |
+| `lang` | string — `wo` / `ff` / `bam` |
+| `source` | string — upstream dataset id |
+| `license` | string — upstream license |
+| `duration` | float — seconds (0.0 where the source omitted it) |
+
+Splits: `train` / `validation` / `test`.
+
+## Composition (clips)
+| lang | clips |
+|---|---|
+| bam | 38769 |
+| ff | 17253 |
+| wo | 86729 |
+
+## Provenance & attribution
+Built only from clean-licensed sources, each row carrying its `source` and
+`license`. Please credit the upstream creators:
+
+| source | lang | license | credit | link |
+|---|---|---|---|---|
+| `soynade-research/Wolof-ASR-Data` | wo | CC-BY-SA-4.0 | soynade-research | [link](https://hf.co/datasets/soynade-research/Wolof-ASR-Data) |
+| `ngia/ASR_pulaar` | ff | CC-BY-4.0 | ngia | [link](https://hf.co/datasets/ngia/ASR_pulaar) |
+| `RobotsMali/bam-asr-early` | bam | CC-BY-4.0 | RobotsMali AI4D Lab (Jeli-ASR, Mali-Pensé / A. Ouattara) | [link](https://hf.co/datasets/RobotsMali/bam-asr-early) |
+
+## License
+The collection is released under **CC-BY-SA-4.0** (the share-alike umbrella, since
+one source is CC-BY-SA; the CC-BY sources are relicensed into the collection with
+attribution preserved). Attribute the upstream creators above.
+
+## Load
+```python
+from datasets import load_dataset
+ds = load_dataset("MOH749/Bocalantics", split="train")
+# per-language: ds = ds.filter(lambda x: x["lang"] == "wo")
+```
+
+## Roadmap
+- v1.1: add **Sereer** + more Wolof/Pulaar via Kallaama (CC-BY-4.0, Jokalante),
+  once re-hosted from `github.com/gauthelo/kallaama-speech-dataset`.
+- Mande siblings (Soninke, Mandinka) await licensed speech data.