Add dataset card

README.md

@@ -1,10 +1,22 @@
 ---
+language:
+- fon
+license: cc-by-4.0
+task_categories:
+- automatic-speech-recognition
+pretty_name: Fongbe ASR
+size_categories:
+- 1K<n<10K
+tags:
+- fongbe
+- asr
+- speech
+- african-languages
+- low-resource
 dataset_info:
   features:
   - name: audio
-    dtype:
-      audio:
-        sampling_rate: 16000
+    dtype: audio
   - name: sentence
     dtype: string
   - name: speaker
@@ -13,18 +25,96 @@ dataset_info:
     dtype: float64
   splits:
   - name: train
-    num_bytes: 661013497
     num_examples: 8234
   - name: test
-    num_bytes: 167445425
     num_examples: 2168
-  download_size: 828551284
-  dataset_size: 828458922
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: test
-    path: data/test-*
 ---
+
+# Fongbe ASR Dataset
+
+Speech recognition dataset for **Fongbe** (fɔ̀ngbè), a Gbe language spoken by approximately 4.1 million people, primarily in Benin and Togo.
+
+## Dataset Description
+
+This dataset contains read speech recordings in Fongbe with their transcriptions. It was originally collected by Fréjus A. A. Laleye and organized in the [pyFongbe](https://github.com/laleye/pyFongbe) repository.
+
+### Statistics
+
+| Split | Samples | Duration | Speakers |
+|-------|---------|----------|----------|
+| train | 8,234   | ~5.7h    | 23       |
+| test  | 2,168   | ~1.5h    | 4        |
+| **total** | **10,402** | **~7.2h** | **27** |
+
+### Audio Format
+
+- Format: WAV (PCM 16-bit)
+- Sample rate: 16,000 Hz
+- Channels: mono
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("alaleye/fon")
+
+# Access a sample
+sample = ds["train"][0]
+print(sample["sentence"])   # Fongbe transcription
+print(sample["audio"])      # {'array': np.array(...), 'sampling_rate': 16000}
+print(sample["speaker"])    # Speaker name
+print(sample["duration"])   # Duration in seconds
+```
+
+### Streaming
+
+```python
+ds = load_dataset("alaleye/fon", streaming=True)
+for sample in ds["train"]:
+    print(sample["sentence"])
+    break
+```
+
+## Features
+
+- `audio` (`Audio`): audio waveform sampled at 16kHz
+- `sentence` (`string`): Fongbe transcription
+- `speaker` (`string`): speaker identifier
+- `duration` (`float64`): audio duration in seconds
+
+## Speakers
+
+**Train set (23 speakers):** armandine, boris, davacan, denise, dolores, donald, emmanuel, eunice, hans, herman, inconnu, lorseque, mario, melissa, miguel, mikael, narcisse, nazer, osias, parisius, rose, sorel, stephanie
+
+**Test set (4 speakers):** antoine, cyrielle, frejus, helmut
+
+Train and test speakers are disjoint, ensuring speaker-independent evaluation.
+
+## Source
+
+- **Repository:** [laleye/pyFongbe](https://github.com/laleye/pyFongbe)
+- **Related project:** [ALFFA (African Languages in the Field: speech Fundamentals and Automation)](http://www.openslr.org/25/)
+
+## Citation
+
+If you use this dataset, please cite:
+
+```bibtex
+@inproceedings{laleye:hal-01436788,
+  TITLE = {{First Automatic Fongbe Continuous Speech Recognition System: Development of Acoustic Models and Language Models}},
+  AUTHOR = {Laleye, Fr{\'e}jus a A and Besacier, Laurent and Ezin, Eug{\`e}ne C and Motamed, Cina},
+  URL = {https://hal.science/hal-01436788},
+  BOOKTITLE = {{Proceedings of the Federated Conference on Computer Science and Information Systems}},
+  ADDRESS = {Gdansk, Poland},
+  VOLUME = {8},
+  PAGES = {477 - 482},
+  YEAR = {2016},
+  MONTH = Sep,
+  DOI = {10.15439/2016F153},
+  KEYWORDS = { corpus ;  African languages ;  Fongbe ;  under-resourced languages ; automatic speech recognition (ASR)},
+  PDF = {https://hal.science/hal-01436788v1/file/153.pdf},
+  HAL_ID = {hal-01436788},
+  HAL_VERSION = {v1},
+}
+```