language: - am - en - sw - lg - ak

ZINDI_HASH_DATASET

Multilingual Sexual and Reproductive Health Dataset (ZINDI_HASH_DATASET)

Dataset Summary

ZINDI_HASH_DATASET is a multilingual dataset for text-based sexual and reproductive health (SRH) content. It contains aligned text pairs across nine language-country configurations, designed to support research in natural language processing (NLP), translation, and text understanding for African languages.

The dataset is split into training and validation (dev) for each language pair. It is suitable for sequence-to-sequence tasks such as translation, paraphrasing, or text generation in the SRH domain.

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Languages

The dataset covers the following languages:

Language	Code
Amharic	am
English	en
Luganda	lg
Akan	ak
Swahili	sw

Each language is paired with a specific country context:

• Aka → Ghana (aka_gha)
• Amh → Ethiopia (amh_eth)
• Eng → Ethiopia, Ghana, Kenya, Uganda (eng_eth, eng_gha, eng_ken, eng_uga)
• Lug → Uganda (lug_uga)
• Swa → Kenya (swa_ken)

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language: - am - en - sw - lg - ak

Dataset Structure

The dataset is organized into language-first folders:

Dataset Structure

aka/
└── aka_gha/
    ├── train-*
    └── dev-*
eng/
├── eng_eth/
│   ├── train-*
│   └── dev-*
├── eng_gha/
│   ├── train-*
│   └── dev-*
├── eng_ken/
│   ├── train-*
│   └── dev-*
└── eng_uga/
    ├── train-*
    └── dev-*
lug/
└── lug_uga/
    ├── train-*
    └── dev-*
swa/
└─── swa_ken/
    ├── train-*
    └── dev-*

Each split contains files with two columns:

• input: original SRH text
• output: target text (translated, paraphrased, or processed)

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Dataset Details

Config	Train	Dev
Aka_Gha	4455	1114
Amh_Eth	1845	462
Eng_Eth	3915	979
Eng_Gha	4443	1111
Eng_Ken	2080	521
Eng_Uga	7624	1907
Lug_Uga	3383	846
Swa_Ken	2070	518
Swa_Uga	678	170

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Use Cases

ZINDI_HASH_DATASET can be used for:

• Machine translation and multilingual NLP research
• Sequence-to-sequence models in the SRH domain
• Text classification or paraphrasing
• Evaluating model performance across African languages

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Loading the Dataset

from datasets import load_dataset

# Example: load English-Ghana split
dataset = load_dataset("AiHub4MSRH-Hash/ZINDI_HASH_DATASET", "Eng_Gha")
print(dataset["train"][0])

@dataset{aihub4msrh-zindi_hash_dataset,
  title={ZINDI_HASH_DATASET},
  author={HASH / AiHub4MSRH},
  year={2026},
  url={https://huggingface.co/datasets/AiHub4MSRH-Hash/ZINDI_HASH_DATASET}