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--- |
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dataset_info: |
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features: |
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- name: sentence |
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dtype: string |
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- name: ISO-639-3 |
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dtype: string |
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- name: script |
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dtype: string |
|
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- name: domain |
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dtype: string |
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- name: lang_family_1 |
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dtype: string |
|
|
- name: lang_family_2 |
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|
dtype: string |
|
|
- name: lang_family_3 |
|
|
dtype: string |
|
|
- name: lang_family_4 |
|
|
dtype: string |
|
|
- name: lang_family_5 |
|
|
dtype: string |
|
|
- name: label |
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dtype: string |
|
|
splits: |
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|
- name: train |
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|
num_bytes: 4035426467 |
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|
num_examples: 17755776 |
|
|
- name: validation |
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|
num_bytes: 237264556 |
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|
num_examples: 1044489 |
|
|
- name: test |
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|
num_bytes: 17240082 |
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|
num_examples: 65503 |
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|
download_size: 1339922188 |
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dataset_size: 4289931105 |
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configs: |
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|
- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: validation |
|
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path: data/validation-* |
|
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- split: test |
|
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path: data/test-* |
|
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--- |
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# Afroscope-Data |
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This is the corpus released as part of the AfroScope project for large-scale African language identification, supporting 713 languages. It provides sentence-level text with language labels and linguistic metadata and was used to train the open [Afroscope-model](https://huggingface.co/14kwonss/afroscope-model). |
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The source project and additional resources are openly available here: |
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https://github.com/skwon01-UBC/AfroScope |
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## Dataset Features |
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- **sentence** *(string)*: The text sample. |
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- **ISO-639-3** *(string)*: The ISO 639-3 language code. |
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- **script** *(string)*: The writing script (e.g., `Latn`, `Arab`). |
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- **domain** *(string)*: Source/domain category of the sample. |
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- **lang_family_1 ~ 5** *(string)*: Language family hierarchy. |
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- **label** *(string)*: The final label used for classification. |
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## Loading the dataset |
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```python |
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from datasets import load_dataset |
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ds = load_dataset( |
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"UBC-NLP/afroscope-dataset", |
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split="train" |
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) |
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print(ds[0]) |
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``` |
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## Citation |
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```bibtex |
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@article{kwon2026afroscope, |
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title={AfroScope: A Framework for Studying the Linguistic Landscape of Africa}, |
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author={Kwon, Sang Yun and Elmadany, AbdelRahim and Abdul-Mageed, Muhammad}, |
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journal={arXiv preprint arXiv:2601.13346}, |
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year={2026} |
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} |
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``` |
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