README.md

---
license: apache-2.0
configs:
- config_name: bam
  data_files:
  - split: robotsmali
    path: bam/robotsmali/*
  - split: dokotoro
    path: bam/dokotoro/*
  - split: flores
    path: bam/flores/*
  - split: mafand
    path: bam/mafand/*
  - split: xp3
    path: bam/xp3/*
  - split: opus
    path: bam/opus/*
  - split: bible
    path: bam/bible/*
  - split: sentiments
    path: bam/sentiments/*
  - split: donkibaru
    path: bam/donkibaru/*
  - split: corbama
    path: bam/corbama/*
  - split: smol
    path: bam/smol/*
  - split: rfi
    path: bam/rfi/*
  - split: jw
    path: bam/jw/*
  - split: fakan
    path: bam/fakan/*
  - split: constitution
    path: bam/constitution/*
- config_name: taq
  data_files: []
- config_name: bmq
  data_files: []
- config_name: mku
  data_files: []
- config_name: dtm
  data_files: []
- config_name: myk
  data_files: []
- config_name: boz
  data_files: []
- config_name: ses
  data_files: []
- config_name: ful
  data_files: []
- config_name: snk
  data_files: []
- config_name: mlq
  data_files: []
- config_name: hsy
  data_files: []
- config_name: seq
  data_files: []
task_categories:
- feature-extraction
- token-classification
- text-classification
- sentence-similarity
language:
- bm
- mey
- taq
- bmq
- myk
- sep
- boz
- bze
- khq
- ses
- mlq
- mku
- dtm
- ff
pretty_name: sebenx
size_categories:
- 1M<n<10M
---

# West African Multilingual Tokenized Corpus

This repository contains a high-quality, linguistically annotated corpus for West African languages, featuring deep tokenization, lemmatization, and morphological analysis. The dataset is designed to support advanced NLP tasks such as POS tagging, lemmatization, and machine translation for under-resourced languages.

## 📊 Data Structure

Each entry in the dataset consists of a raw sentence and a highly detailed `Tokens` object. Unlike standard tokenizers, this dataset provides nested linguistic metadata for every word.

### Column Definitions

* **Sentence**: The raw string of text in the target language.
* **Tokens**: A JSON object containing:
* `text`: Individual tokens (words and punctuation).
* `start` / `end`: Character offsets within the original sentence.
* `type`: Classification (e.g., `word`, `character`).
* `lemmas`: A list of potential lemmas, Parts of Speech (`ps`), French glosses (`gloss_fr`), and detailed `morphemes` breakdowns.



### Data Example (Bamanankan)

**Sentence:** `Kumaw yɛrɛ kɛcogo fɛ e n'a dɔn...`

**Token Breakdown (JSON snippet):**

```json
{
  "text": ["Kumaw", "yɛrɛ"],
  "lemmas": [
    {
      "lemma": ["kumaw"],
      "ps": ["n"],
      "gloss_fr": ["parole"],
      "morphemes": [{"morph": ["kúma", "w"], "ps": ["n", "mrph"], "gloss_fr": ["parole", "PL"]}
      ]
    }
  ]
}

```

---

## 📂 Configuration & Splits

The dataset is partitioned by ISO 639-3 language codes. The current primary focus is **Bamanankan (bam)**, with multiple specialized sub-splits:

| Config | Split Name | Description |
| --- | --- | --- |
| **bam** | `robotsmali` | All major NLP related internal datasets |
| **bam** | `corbama` | Corpus Bamana de Référence |
| **bam** | `donkibaru` | News and media |
| **bam** | `constitution` | Legal and administrative |
| **bam** | `flores` / `xp3` | Benchmark and instruction sets |


## 🌍 Language Coverage Roadmap

### Currently Active / Populated

* **Bamanankan (bam)**: Extensive coverage across 15+ sources.
* **Initial Configs Ready:** `taq` (Tamasheq), `bmq` (Bomu), `mku` (Konyanka), `dtm` (Tomo Kan), `myk` (Mamara), `ses` (Koyraboro Senni), `ful` (Fulfulde), `snk` (Soninke).

### Future Coverage

We are expanding to cover over 100+ languages across the Sahel and West Africa, including:

<details>
<summary><b>Mali & Guinea</b></summary>

* **Mali:** Hasanya Arabic (`mey`), Maasina Fulfulde (`ffm`), various Dogon dialects (`dds`, `dto`, `dts`), and Bozo varieties.
* **Guinea:** Susu (`sus`), N’Ko (`nqo`), Pular (`fuf`), and Toma (`tod`).

</details>

<details>
<summary><b>Burkina Faso & Niger</b></summary>

* **Burkina Faso:** Moore (`mos`), Jula (`dyu`), Lobi (`lob`), and Lyélé (`lee`).
* **Niger:** Hausa (`hau`), Zarma (`dje`), and various Kanuri dialects.

</details>

<details>
<summary><b>Senegal & Cross-Border</b></summary>

* **Senegal:** Wolof (`wol`), Serer-Sine (`srr`), and Pulaar (`fuc`).
* **Cross-Border:** Tamasheq (`taq`), Mandinka (`mnk`), and Dazaga (`dzg`).

</details>

Below is the complete list of target languages categorized by region and ISO 639-3 code.


### 🤝 Shared & Cross-Border

| Code | Language | Code | Language |
| --- | --- | --- | --- |
| **beh** | Biali | **bof** | Bolon |
| **bmq** | Bomu | **fuh** | Burkina Faso Fulfulde |
| **dzg** | Dazaga | **ddn** | Dendi |
| **emk** | Eastern Maninkakan | **gux** | Gourmanchéma |
| **hmb** | Humburi Senni Songhay | **yal** | Jalunga |
| **djm** | Jamsay Dogon | **dyo** | Jola-Fonyi |
| **bbo** | Konabéré | **kfz** | Koromfé |
| **mnk** | Mandinka | **mfv** | Mandjak |
| **rkm** | Marka | **stj** | Matya Samo |
| **bsc** | Oniyan | **pnq** | Pana |
| **fuc** | Pulaar | **fuf** | Pular |
| **sym** | Sàmòmá | **srr** | Serer-Sine |
| **shu** | Shuwa Arabic | **sep** | Sìcìté Sénoufo |
| **snk** | Soninke | **ttq** | Tamajaq |
| **taq** | Tamasheq | **tuq** | Tedaga |
| **dtm** | Tomo Kan Dogon | **cou** | Wamey |
| **mlq** | Western Maninkakan | **knc** | Yerwa Kanuri |

### 🇲🇱 Mali

| Code | Language | Code | Language |
| --- | --- | --- | --- |
| **bam** | Bamanankan | **dbw** | Bankan Tey Dogon |
| **dbt** | Ben Tey Dogon | **dbu** | Bondum Dom Dogon |
| **dds** | Donno So Dogon | **mey** | Hasanya Arabic |
| **bze** | Jenaama Bozo | **bzx** | Kelengaxo Bozo |
| **mwk** | Kita Maninkakan | **khq** | Koyra Chiini Songhay |
| **ses** | Koyraboro Senni Songhay | **ffm** | Maasina Fulfulde |
| **myk** | Mamara Sénoufo | **seb** | Shempire Sénoufo |
| **spp** | Supyire Sénoufo | **shz** | Syenara Sénoufo |
| **dsq** | Tadaksahak | **boo** | Tiemacèwè Bozo |
| **boz** | Tieyaxo Bozo | **dtk** | Togo Kan Dogon |
| **dto** | Tommo So Dogon | **dts** | Toro So Dogon |
| **dtt** | Toro Tegu Dogon | **kao** | Xaasongaxango |

### 🇧🇫 Burkina Faso

| Code | Language | Code | Language |
| --- | --- | --- | --- |
| **mos** | Moore | **bib** | Bisa |
| **box** | Buamu | **cme** | Cerma |
| **bwy** | Cwi Bwamu | **dgd** | Dagaari Dioula |
| **dos** | Dogosé | **dya** | Dyan |
| **dnn** | Dzùùngoo | **kar** | Eastern Karaboro |
| **dyu** | Jula | **gna** | Kaansa |
| **xsm** | Kasem | **cpo** | Kpeego |
| **kus** | Kusaal | **bwj** | Láá Láá Bwamu |
| **lob** | Lobi | **lee** | Lyélé |
| **bfo** | Malba Birifor | **sym** | Maya Samo |
| **mfq** | Moba | **sen** | Nanerigé Sénoufo |
| **gur** | Ninkare | **dgi** | Northern Dagara |
| **nuv** | Northern Nuni | **tsp** | Northern Toussian |
| **pug** | Phuie | **sos** | Seenku |
| **seq** | Senara Sénoufo | **sif** | Siamou |
| **sld** | Sissala | **bwq** | Southern Bobo Madaré |
| **nnw** | Southern Nuni | **sbd** | Southern Samo |
| **wib** | Southern Toussian | **lor** | Téén |
| **tiq** | Tiéfo | **tuz** | Turka |
| **kza** | Western Karaboro | **kst** | Winyé |

### 🇬🇳 Guinea

| Code | Language | Code | Language |
| --- | --- | --- | --- |
| **bqf** | Baga Kaloum | **bsp** | Baga Sitemu |
| **dnj** | Dan | **lma** | East Limba |
| **gkp** | Guinea Kpelle | **jad** | Jahanka |
| **kke** | Kakabe | **lda** | Kla-Dan |
| **kno** | Kono | **mku** | Konyanka |
| **knk** | Kuranko | **ldm** | Landoma |
| **llc** | Lele | **mev** | Mano |
| **mzj** | Manya | **mfg** | Mogofin |
| **nqo** | N’Ko | **naj** | Nalu |
| **kqs** | Northern Kissi | **msc** | Sankaran Maninka |
| **sus** | Susu | **tod** | Toma |
| **zil** | Zialo |  |  |

### 🇳🇪 Niger

| Code | Language | Code | Language |
| --- | --- | --- | --- |
| **dje** | Zarma | **bms** | Bilma Kanuri |
| **fuq** | Central-Eastern Niger Fulfulde | **hau** | Hausa |
| **ayl** | Libyan Arabic | **kby** | Manga Kanuri |
| **tda** | Tagdal | **thv** | Tahaggart Tamahaq |
| **twq** | Tasawaq | **thz** | Tayart Tamajeq |
| **tez** | Tetserret | **krt** | Tumari Kanuri |

### 🇸🇳 Senegal

| Code | Language | Code | Language |
| --- | --- | --- | --- |
| **bbg** | Bainouk-Gunyaamolo | **bcb** | Bainouk-Samik |
| **bjt** | Balanta-Ganja | **bqj** | Bandial |
| **bda** | Bayot | **eja** | Ejamat |
| **gsl** | Gusilay | **csk** | Jola-Kasa |
| **krx** | Karon | **cwt** | Kuwaataay |
| **cae** | Laalaa | **knf** | Mankanya |
| **ndv** | Ndut | **snf** | Noon |
| **fap** | Paloor | **sav** | Saafi-Saafi |
| **wol** | Wolof |  |  |

---

## 🛠 Usage

You can load the data using the Hugging Face `datasets` library:

```python
from datasets import load_dataset

# Load Bamanankan news data
ds = load_dataset("s7d11/sebenx", "bam", split="donkibaru")

# Access deep tokenization
first_row = ds[0]
print(f"Sentence: {first_row['Sentence']}")
print(f"Tokens: {first_row['Tokens']['text']}")

```

---

## 📜 License

This dataset is released under the **Apache-2.0 License**.

---