metadata

license: mit
dataset_info:
  - config_name: Derja_tunsi
    features:
      - name: text
        dtype: string
    splits:
      - name: train
        num_bytes: 230560
        num_examples: 13037
    download_size: 137033
    dataset_size: 230560
  - config_name: HkayetErwi
    features:
      - name: text
        dtype: string
    splits:
      - name: train
        num_bytes: 383744
        num_examples: 946
    download_size: 146010
    dataset_size: 383744
  - config_name: TunBERT
    features:
      - name: text
        dtype: string
    splits:
      - name: train
        num_bytes: 5868844
        num_examples: 67186
    download_size: 3459576
    dataset_size: 5868844
  - config_name: Tunisian_Dialectic_English_Derja
    features:
      - name: text
        dtype: string
    splits:
      - name: Tunisian_Dialectic_English_Derja
        num_bytes: 547732666.7098647
        num_examples: 1220712
    download_size: 273966174
    dataset_size: 547732666.7098647
configs:
  - config_name: Derja_tunsi
    data_files:
      - split: train
        path: Derja_tunsi/train-*
  - config_name: HkayetErwi
    data_files:
      - split: train
        path: HkayetErwi/train-*
  - config_name: TunBERT
    data_files:
      - split: train
        path: TunBERT/train-*
  - config_name: Tunisian_Dialectic_English_Derja
    data_files:
      - split: train
        path: Tunisian_Dialectic_English_Derja/train-*

Tunisian Derja Dataset (Tunisian Arabic)

This is a collection of Tunisian dialect textual documents for Language Modeling.

It was used for contunial pretraining of Jais LLM model in Tunisian dialect

Languages

The dataset is available in Tunisian Arabic (Derja).

Data Table

subset	Lines	words	#Unique Words
Tunisian_Dialectic_English_Derja	1220712
HkayetErwi	966	43957	8045
Derja_tunsi	13037	19963	11324
T-HSAB	6024	70736	27171

TRCD	145	4036	1575
TSAC	8479	69606	19457
TuDiCOI	3426	10570	1392
TunBERT	67219	579748	117756

TunSwitchCodeSwitching	394163	4406672	192530
TunSwitchTunisiaOnly	380546	4211374	178108

Tweet_TN	39637	329479	37275