Datasets:

anrilombard
/

mzansi-text-tokenized

input_ids listlengths 15 2.05k	token_type_ids listlengths 15 2.05k	attention_mask listlengths 15 2.05k
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MzansiText Tokenized

Ready-to-train tokenized version of MzansiText, chunked to a context length of 2048 tokens.

Dataset Details

Tokenizer: custom BPE, 65536 vocabulary
Chunking: 2048 tokens per example with EOS separators between documents
Schema:

{
  "input_ids": ["int"],
  "lang": "string"
}

Split Sizes

Split	Examples
Train	3,943,584
Validation	19,379
Test	19,341

Usage

from datasets import load_dataset

ds = load_dataset("anrilombard/mzansi-text-tokenized", split="train")
print(ds[0].keys())

Related Releases

Model: anrilombard/mzansilm-125m
Raw corpus: anrilombard/mzansi-text
GitHub code and configs: https://github.com/Anri-Lombard/sallm

Full preprocessing pipeline (including this exact cleaning script) is in data/cleaning/ on GitHub.

Citation

Until the public paper record is live, please cite the repository:

@misc{mzansitext-mzansilm-github,
  title = {MzansiText and MzansiLM: An Open Corpus and Decoder-Only Language Model for South African Languages},
  author = {Lombard, Anri and Mawere, Simbarashe and Aina, Temi and Wolff, Ethan and Gumede, Sbonelo and Novick, Elan and Meyer, Francois and Buys, Jan},
  year = {2026},
  howpublished = {\url{https://github.com/Anri-Lombard/sallm}},
  note = {GitHub repository}
}

License

Apache License 2.0

Downloads last month: 18

Size of downloaded dataset files:

5.64 GB

Size of the auto-converted Parquet files:

5.64 GB

Number of rows:

3,982,304

Collection including anrilombard/mzansi-text-tokenized

MzansiLM

Collection

South African Language Models - SALLM project for low-resource African language modeling • 3 items • Updated 5 days ago