afriberta-corpus

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The dataset viewer is not available for this dataset.

Cannot get the config names for the dataset.

Error code:   ConfigNamesError
Exception:    RuntimeError
Message:      Dataset scripts are no longer supported, but found afriberta-corpus.py
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
                  config_names = get_dataset_config_names(
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                                   ^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1207, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1167, in dataset_module_factory
                  raise RuntimeError(f"Dataset scripts are no longer supported, but found {filename}")
              RuntimeError: Dataset scripts are no longer supported, but found afriberta-corpus.py

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Dataset Card for AfriBERTa's Corpus

Dataset Description

Dataset Summary

This is the corpus on which AfriBERTa was trained on. The dataset is mostly from the BBC news website, but some languages also have data from Common Crawl.

Homepage: https://github.com/keleog/afriberta
Models:
Paper: https://aclanthology.org/2021.mrl-1.11/
Point of Contact: kelechi.ogueji@uwaterloo.ca

Supported Tasks and Leaderboards

The AfriBERTa corpus was mostly intended to pre-train language models.

Languages

afaanoromoo
amharic
gahuza
hausa
igbo
pidgin
somali
swahili
tigrinya
yoruba

Loading Dataset

An example to load the train split of the Somali corpus:

dataset = load_dataset("castorini/afriberta-corpus", "somali", split="train")

An example to load the test split of the Pidgin corpus:

dataset = load_dataset("castorini/afriberta-corpus", "pidgin", split="test")

Dataset Structure

Data Instances

Each data point is a line of text. An example from the igbo dataset:

{"id": "6", "text": "Ngwá ọrụ na-echebe ma na-ebuli gị na kọmputa."}

Data Fields

The data fields are:

id: id of the example
text: content as a string

Data Splits

Each language has a train and test split, with varying sizes.

Considerations for Using the Data

Discussion of Biases

Since majority of the data is obtained from the BBC's news website, models trained on this dataset are likely going to be biased towards the news domain.

Also, since some of the data is obtained from Common Crawl, care should be taken (especially for text generation models) since personal and sensitive information might be present.

Additional Information

Citation Information

@inproceedings{ogueji-etal-2021-small,
    title = "Small Data? No Problem! Exploring the Viability of Pretrained Multilingual Language Models for Low-resourced Languages",
    author = "Ogueji, Kelechi  and
      Zhu, Yuxin  and
      Lin, Jimmy",
    booktitle = "Proceedings of the 1st Workshop on Multilingual Representation Learning",
    month = nov,
    year = "2021",
    address = "Punta Cana, Dominican Republic",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.mrl-1.11",
    pages = "116--126",
}

Contributions

Thanks to Kelechi Ogueji for adding this dataset.

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