README.md

metadata

dataset_info:
  - config_name: Aka_Gha
    features:
      - name: input
        dtype: string
      - name: output
        dtype: string
    splits:
      - name: train
        num_bytes: 3710836
        num_examples: 4985
      - name: dev
        num_bytes: 928267
        num_examples: 1247
    download_size: 2320907
    dataset_size: 4639103
  - config_name: Amh_Eth
    features:
      - name: input
        dtype: string
      - name: output
        dtype: string
    splits:
      - name: train
        num_bytes: 772838
        num_examples: 1945
      - name: dev
        num_bytes: 193507
        num_examples: 487
    download_size: 464248
    dataset_size: 966345
  - config_name: Eng_Eth
    features:
      - name: input
        dtype: string
      - name: output
        dtype: string
    splits:
      - name: train
        num_bytes: 965427
        num_examples: 4391
      - name: dev
        num_bytes: 241411
        num_examples: 1098
    download_size: 499445
    dataset_size: 1206838
  - config_name: Eng_Gha
    features:
      - name: input
        dtype: string
      - name: output
        dtype: string
    splits:
      - name: train
        num_bytes: 3516170
        num_examples: 4986
      - name: dev
        num_bytes: 879395
        num_examples: 1247
    download_size: 2233535
    dataset_size: 4395565
  - config_name: Eng_Ken
    features:
      - name: input
        dtype: string
      - name: output
        dtype: string
    splits:
      - name: train
        num_bytes: 1357958
        num_examples: 2340
      - name: dev
        num_bytes: 340069
        num_examples: 586
    download_size: 494654
    dataset_size: 1698027
  - config_name: Eng_Uga
    features:
      - name: input
        dtype: string
      - name: output
        dtype: string
    splits:
      - name: train
        num_bytes: 6042352
        num_examples: 8848
      - name: dev
        num_bytes: 1510588
        num_examples: 2212
    download_size: 2055534
    dataset_size: 7552940
  - config_name: Lug_Uga
    features:
      - name: input
        dtype: string
      - name: output
        dtype: string
    splits:
      - name: train
        num_bytes: 2856255
        num_examples: 3801
      - name: dev
        num_bytes: 714627
        num_examples: 951
    download_size: 1378040
    dataset_size: 3570882
  - config_name: Swa_Ken
    features:
      - name: input
        dtype: string
      - name: output
        dtype: string
    splits:
      - name: train
        num_bytes: 1436139
        num_examples: 2339
      - name: dev
        num_bytes: 359188
        num_examples: 585
    download_size: 495626
    dataset_size: 1795327
configs:
  - config_name: Aka_Gha
    data_files:
      - split: train
        path: Aka/Aka_Gha/train-*
      - split: dev
        path: Aka/Aka_Gha/dev-*
  - config_name: Amh_Eth
    data_files:
      - split: train
        path: Amh/Amh_Eth/train-*
      - split: dev
        path: Amh/Amh_Eth/dev-*
  - config_name: Eng_Eth
    data_files:
      - split: train
        path: Eng/Eng_Eth/train-*
      - split: dev
        path: Eng/Eng_Eth/dev-*
  - config_name: Eng_Gha
    data_files:
      - split: train
        path: Eng/Eng_Gha/train-*
      - split: dev
        path: Eng/Eng_Gha/dev-*
  - config_name: Eng_Ken
    data_files:
      - split: train
        path: Eng/Eng_Ken/train-*
      - split: dev
        path: Eng/Eng_Ken/dev-*
  - config_name: Eng_Uga
    data_files:
      - split: train
        path: Eng/Eng_Uga/train-*
      - split: dev
        path: Eng/Eng_Uga/dev-*
  - config_name: Lug_Uga
    data_files:
      - split: train
        path: Lug/Lug_Uga/train-*
      - split: dev
        path: Lug/Lug_Uga/dev-*
  - config_name: Swa_Ken
    data_files:
      - split: train
        path: Swa/Swa_Ken/train-*
      - split: dev
        path: Swa/Swa_Ken/dev-*

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.

---

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)

---

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)

---

Dataset Details

Config	Train	Dev
Aka_Gha	4985	1247
Amh_Eth	1945	487
Eng_Eth	4391	1098
Eng_Gha	4986	1247
Eng_Ken	2340	586
Eng_Uga	8848	2212
Lug_Uga	3801	951
Swa_Ken	2339	585

---

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

---

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}