Upload README.md

README.md

@@ -1,24 +1,63 @@
 ---
-dataset_info:
-  features:
-  - name: audio_path
-    dtype: audio
-  - name: transcription
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 3224629019.71
-    num_examples: 25659
-  - name: test
-    num_bytes: 448510866.3
-    num_examples: 2934
-  download_size: 4281760095
-  dataset_size: 3673139886.01
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: test
-    path: data/test-*
+tags:
+- speech
+- audio
+- asr
+- fante
+- multilingual
+license: mit  # Change if needed
+datasets:
+- michsethowusu/fante_multispeaker_audio_transcribed
+language:
+- fat
+task_categories:
+- automatic-speech-recognition
 ---
+
+# Fante Multispeaker Audio Transcribed Dataset
+
+## Overview
+The **Fante Multispeaker Audio Transcribed** dataset is a collection of speech recordings and their transcriptions in Fante, a widely spoken dialect of the Akan language in Ghana. The dataset is designed for training and evaluating automatic speech recognition (ASR) models and other natural language processing (NLP) applications.
+
+## Dataset Details
+- **Source**: The dataset is derived from the [Financial Inclusion Speech Dataset](https://github.com/Ashesi-Org/Financial-Inclusion-Speech-Dataset), which focuses on financial conversations in Fante.
+- **Format**: The dataset consists of audio recordings (.wav) and corresponding transcriptions (.txt or .csv).
+- **Speakers**: Multiple speakers contribute to the dataset, making it useful for speaker-independent ASR models.
+- **Domain**: Primarily focused on financial and general conversations.
+
+## Splits
+The dataset is divided as follows:
+- **Train Set**: 90% of the data
+- **Test Set**: 10% of the data
+
+## Use Cases
+This dataset is useful for:
+- Training and evaluating ASR models for Fante.
+- Developing Fante language models and NLP applications.
+- Linguistic analysis of Fante speech.
+
+## Usage
+To use this dataset in your Hugging Face project, you can load it as follows:
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("michsethowusu/fante_multispeaker_audio_transcribed")
+```
+
+## License
+Refer to the original dataset repository for licensing details: [Financial Inclusion Speech Dataset](https://github.com/Ashesi-Org/Financial-Inclusion-Speech-Dataset).
+
+## Acknowledgments
+This dataset is based on the work by [Ashesi-Org](https://github.com/Ashesi-Org). Special thanks to contributors who helped in data collection and annotation. **I am only making it more accessible for machine learning**.
+
+## Citation
+If you use this dataset in your research or project, please cite it appropriately:
+```
+@misc{financialinclusion2022,
+  author = {Asamoah Owusu, D., Korsah, A., Quartey, B., Nwolley Jnr., S., Sampah, D., Adjepon-Yamoah, D., Omane Boateng, L.},
+  title = {Financial Inclusion Speech Dataset},
+  year = {2022},
+  publisher = {Ashesi University and Nokwary Technologies},
+  url = {https://github.com/Ashesi-Org/Financial-Inclusion-Speech-Dataset}
+}
+```