Tunisian Darija Corpus
Conversational Tunisian Arabic — transcribed, de-duplicated, dialect-tagged. Train/eval splits ready for fine-tuning.
Arabic corpora, Tunisian dialect datasets, and open APIs — built sovereign, in Tunis. The data and tools that train the next generation of Arabic-native AI, free for any builder who needs them. No paywalls, no extraction, no foreign custody of our own language.
Conversational Tunisian Arabic — transcribed, de-duplicated, dialect-tagged. Train/eval splits ready for fine-tuning.
Fully vocalized fuṣḥā from heritage manuscripts and modern presses. Diacritic-complete, cleaned, paragraph-aligned.
Pre-computed 1024-dim vectors over a decade of Arabic and French regional press. Indexed and ready for retrieval.
Native Tunisian speech with verbatim transcripts and speaker metadata. Balanced across age, gender, and region.
Sentence-aligned translation pairs across legal, civic, and editorial domains. Human-verified and deduplicated.
Scanned Maghrebi Arabic handwriting with character and word-level annotations. Augmented for OCR and HTR models.
One endpoint for Arabic, French, and Tunisian Darija vectors. Diacritic-aware, dialect-aware, pinned to Tunis.
Bidirectional FR ⇄ AR ⇄ Darija translation tuned on the parallel corpus. Domain hints for legal and civic text.
pip install myn-tokenizer. Splits Tunisian Darija and fuṣḥā correctly where generic tokenizers break. Diacritic-safe.