datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
algerian-darja-corpus
Algerian Darja Corpus
A high-quality dataset containing conversational transcripts in Algerian Darja (Algerian Arabic dialect). The corpus features natural, real-world discussions, podcasts, and conversations that represent how Darja is spoken today. It highlights extensive code-switching between Algerian Arabic, French, and English, written in both Arabic and Latin (Arabizi/Franco-Algerian) scripts.
Dataset Summary
The Algerian Darja Corpus consists of… See the full description on the dataset page: https://huggingface.co/datasets/touati-kamel/algerian-darja-corpus.algerian-darja-corpus
Algerian Darja Corpus
11,151 long-form conversational transcripts in Algerian Darja for language modeling of real spoken Algerian, by Kamel Touati (Independent AI Researcher, Algiers, ORCID 0009-0000-5330-2123, Hugging Face touati-kamel), mirrored on the Algerian NLP Collective. Counted 2026-09-17 via the Hub datasets-server (/info?dataset=algerian-nlp/algerian-darja-corpus: 11,151 train rows) and re-counted row-by-row with datasets streaming… See the full description on the dataset page: https://huggingface.co/datasets/algerian-nlp/algerian-darja-corpus.darja-blindspot-eval
Blind Spot Evaluation: Algerian Darja, Arabizi, and French Code-Switching
Author: Khadija Abderrahmane
Model evaluated: Qwen/Qwen2.5-1.5B-Instruct (1.5B parameters)
1. The blind spot
Nearly every widely used Arabic NLP benchmark — ArabicMMLU, ARLUE, AraSentiment, and most Arabic instruction-tuning datasets — is built almost entirely on Modern Standard Arabic (MSA), with limited coverage of major spoken dialects (Egyptian, Gulf, Levantine). Algerian Darja, the… See the full description on the dataset page: https://huggingface.co/datasets/khadidjaabderrahmane/darja-blindspot-eval.koch_small_block_dataeval_koch_testkoch_test_data