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Datasets:
uctnlp
/
mzansi-text

Modalities:
Text
Formats:
parquet
Languages:
Afrikaans
English
Southern Ndebele
Size:
1M - 10M
ArXiv:
Tags:
pretraining
south-african-languages
multilingual
mzansitext
Libraries:
Datasets
Dask
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License:
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2

Correct MzansiText raw release

#2
by anrilombard - opened
base: refs/heads/main
←
from: refs/pr/2
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+155
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Files changed (50) hide show
  1. README.md +54 -29
  2. data/test-00000-of-00001.parquet +1 -1
  3. data/{train-00000-of-00021.parquet → train-00000-of-00033.parquet} +2 -2
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  28. data/train-00014-of-00033.parquet +3 -0
  29. data/train-00015-of-00021.parquet +0 -3
  30. data/train-00015-of-00033.parquet +3 -0
  31. data/train-00016-of-00021.parquet +0 -3
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README.md CHANGED
@@ -2,21 +2,48 @@
2
  language:
3
  - af
4
  - en
 
5
  - nso
6
- - sot
7
- - ssw
8
- - tsn
9
- - tso
10
- - ven
11
- - xho
12
- - zul
13
- - nbl
14
  tags:
15
  - pretraining
16
  - south-african-languages
17
  - multilingual
18
  - mzansitext
19
  license: apache-2.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
20
  ---
21
 
22
  # MzansiText
@@ -25,12 +52,13 @@ license: apache-2.0
25
 
26
  [![GitHub](https://img.shields.io/badge/GitHub-Anri--Lombard/sallm-blue)](https://github.com/Anri-Lombard/sallm)
27
  [![Paper](https://img.shields.io/badge/Paper-arXiv_2603.20732-red.svg)](https://arxiv.org/abs/2603.20732)
28
- [![Model](https://img.shields.io/badge/Model-MzansiLM_125M-green)](https://huggingface.co/anrilombard/mzansilm-125m)
29
  [![Collection](https://img.shields.io/badge/Collection-MzansiLM-orange)](https://huggingface.co/collections/anrilombard/mzansilm-69635ca7b60efedb9dfcb09e)
30
 
31
- ## Dataset Details
32
 
33
- - Languages: `af`, `en`, `nso`, `sot`, `ssw`, `tsn`, `tso`, `ven`, `xho`, `zul`, `nbl`
 
34
  - Schema:
35
 
36
  ```json
@@ -40,12 +68,15 @@ license: apache-2.0
40
  }
41
  ```
42
 
43
- - This repository contains the raw train, validation, and test text splits used for the MzansiLM pretraining release.
44
- - The token distribution table below matches the paper-reported corpus statistics.
 
45
 
46
- ### Token Distribution (after filtering + 65,536-vocab BPE tokenizer)
47
 
48
- | Language | Train Tokens | % | Val Tokens | Test Tokens |
 
 
49
  |---|---:|---:|---:|---:|
50
  | Afrikaans | 2,475,913,822 | 64.96 | 1,865,255 | 1,875,605 |
51
  | English | 740,994,679 | 19.44 | 1,813,651 | 1,821,803 |
@@ -60,39 +91,33 @@ license: apache-2.0
60
  | isiNdebele | 818,549 | 0.02 | 106,224 | 143,458 |
61
  | **Total** | **3,811,301,573** | **100** | **12,934,506** | **13,171,129** |
62
 
63
- Validation and test sets are capped at approximately 2M tokens per language to prevent high-resource languages from dominating early stopping.
64
-
65
  ## Usage
66
 
67
  ```python
68
  from datasets import load_dataset
69
 
70
- ds = load_dataset("anrilombard/mzansi-text", split="train")
71
- print(ds[0])
72
  ```
73
 
74
- ## Related Releases
75
 
76
  - Paper: [arXiv:2603.20732](https://arxiv.org/abs/2603.20732)
77
- - Model: [anrilombard/mzansilm-125m](https://huggingface.co/anrilombard/mzansilm-125m)
78
- - Tokenized corpus: [anrilombard/mzansi-text-tokenized](https://huggingface.co/datasets/anrilombard/mzansi-text-tokenized)
79
- - GitHub code and configs: [https://github.com/Anri-Lombard/sallm](https://github.com/Anri-Lombard/sallm)
80
-
81
- Full preprocessing pipeline (including this exact cleaning script) is in [`data/cleaning/`](https://github.com/Anri-Lombard/sallm/tree/main/data/cleaning) on GitHub.
82
 
83
  ## Citation
84
 
85
- Please cite the paper:
86
-
87
  ```bibtex
88
  @misc{lombard2026mzansitextmzansilmopencorpus,
89
- title={MzansiText and MzansiLM: An Open Corpus and Decoder-Only Language Model for South African Languages},
90
  author={Anri Lombard and Simbarashe Mawere and Temi Aina and Ethan Wolff and Sbonelo Gumede and Elan Novick and Francois Meyer and Jan Buys},
91
  year={2026},
92
  eprint={2603.20732},
93
  archivePrefix={arXiv},
94
  primaryClass={cs.CL},
95
- url={https://arxiv.org/abs/2603.20732},
96
  }
97
  ```
98
 
 
2
  language:
3
  - af
4
  - en
5
+ - nr
6
  - nso
7
+ - st
8
+ - ss
9
+ - tn
10
+ - ts
11
+ - ve
12
+ - xh
13
+ - zu
 
14
  tags:
15
  - pretraining
16
  - south-african-languages
17
  - multilingual
18
  - mzansitext
19
  license: apache-2.0
20
+ dataset_info:
21
+ features:
22
+ - name: text
23
+ dtype: string
24
+ - name: lang
25
+ dtype: string
26
+ splits:
27
+ - name: validation
28
+ num_bytes: 49945450
29
+ num_examples: 19379
30
+ - name: test
31
+ num_bytes: 50660154
32
+ num_examples: 19341
33
+ - name: train
34
+ num_bytes: 16268486536
35
+ num_examples: 3943584
36
+ download_size: 10253287766
37
+ dataset_size: 16369092140
38
+ configs:
39
+ - config_name: default
40
+ data_files:
41
+ - split: validation
42
+ path: data/validation-*
43
+ - split: test
44
+ path: data/test-*
45
+ - split: train
46
+ path: data/train-*
47
  ---
48
 
49
  # MzansiText
 
52
 
53
  [![GitHub](https://img.shields.io/badge/GitHub-Anri--Lombard/sallm-blue)](https://github.com/Anri-Lombard/sallm)
54
  [![Paper](https://img.shields.io/badge/Paper-arXiv_2603.20732-red.svg)](https://arxiv.org/abs/2603.20732)
55
+ [![Model](https://img.shields.io/badge/Model-MzansiLM_125M-green)](https://huggingface.co/uctnlp/mzansilm-125m)
56
  [![Collection](https://img.shields.io/badge/Collection-MzansiLM-orange)](https://huggingface.co/collections/anrilombard/mzansilm-69635ca7b60efedb9dfcb09e)
57
 
58
+ ## Dataset details
59
 
60
+ - Splits: 3,943,584 train rows, 19,379 validation rows, and 19,341 test rows
61
+ - `lang` values: `afr`, `eng`, `nbl`, `nso`, `sot`, `ssw`, `tsn`, `tso`, `ven`, `xho`, `zul`
62
  - Schema:
63
 
64
  ```json
 
68
  }
69
  ```
70
 
71
+ Validation and test sets are capped at approximately 2M tokens per language to prevent high-resource languages from dominating early stopping.
72
+
73
+ ### Release correction
74
 
75
+ The raw train split was republished on 10 August 2026 after an audit found that an earlier Hub upload had been created from an incomplete input tree. The earlier upload omitted WURA, ParaCrawl, and the isiXhosa/isiZulu mC4 files and contained 2,487,635 train rows. The paper statistics, validation split, test split, and full tokenized training artifact were not affected.
76
 
77
+ ### Token distribution (65,536-vocabulary MzansiText BPE tokenizer)
78
+
79
+ | Language | Train tokens | % | Validation tokens | Test tokens |
80
  |---|---:|---:|---:|---:|
81
  | Afrikaans | 2,475,913,822 | 64.96 | 1,865,255 | 1,875,605 |
82
  | English | 740,994,679 | 19.44 | 1,813,651 | 1,821,803 |
 
91
  | isiNdebele | 818,549 | 0.02 | 106,224 | 143,458 |
92
  | **Total** | **3,811,301,573** | **100** | **12,934,506** | **13,171,129** |
93
 
 
 
94
  ## Usage
95
 
96
  ```python
97
  from datasets import load_dataset
98
 
99
+ dataset = load_dataset("uctnlp/mzansi-text")
100
+ print(dataset)
101
  ```
102
 
103
+ ## Related releases
104
 
105
  - Paper: [arXiv:2603.20732](https://arxiv.org/abs/2603.20732)
106
+ - Model: [uctnlp/mzansilm-125m](https://huggingface.co/uctnlp/mzansilm-125m)
107
+ - Tokenized corpus: [uctnlp/mzansi-text-tokenized](https://huggingface.co/datasets/uctnlp/mzansi-text-tokenized)
108
+ - Code and configs: [Anri-Lombard/sallm](https://github.com/Anri-Lombard/sallm)
 
 
109
 
110
  ## Citation
111
 
 
 
112
  ```bibtex
113
  @misc{lombard2026mzansitextmzansilmopencorpus,
114
+ title={MzansiText and MzansiLM: An Open Corpus and Decoder-Only Language Model for South African Languages},
115
  author={Anri Lombard and Simbarashe Mawere and Temi Aina and Ethan Wolff and Sbonelo Gumede and Elan Novick and Francois Meyer and Jan Buys},
116
  year={2026},
117
  eprint={2603.20732},
118
  archivePrefix={arXiv},
119
  primaryClass={cs.CL},
120
+ url={https://arxiv.org/abs/2603.20732},
121
  }
122
  ```
123
 
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