datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Hausa
Hausa Ajami OCR Dataset
Ce dataset contient des paires image/transcription de manuscrits haoussa en écriture ajami (écriture arabe adaptée au haoussa).
Contenu
Chaque ligne du fichier data/train/metadata.jsonl correspond à une ligne de texte ajami segmentée, avec :
file_name : nom du fichier image correspondant (image de la ligne, recadrée)
transcript : translittération en écriture latine de la ligne
source : identifiant du manuscrit d'origine (voir tableau… See the full description on the dataset page: https://huggingface.co/datasets/IntelligenceResearchLab/Hausa.hausa_ajami_ocrhausa-cultural-backdoorHuman-Artificial-HAUFlicense: All rights reserved
Copyright © 2025/6 JP A-Marl
Release Title:
HAUF - Human-Artificial Unified Framework by JP A-Marl is now available to Policymakers, Future Civilizational Designers, Future Institutional Governance Designers, AI Researchers, Data Scientists, AI and AGI Developers
Version v2.0 27July2026
Version v2.0 published on the 27Jul2025
https://zenodo.org/records/21630286
DOI 10.5281/zenodo.21630286
Version v1.0 originally… See the full description on the dataset page: https://huggingface.co/datasets/jpamarlphi-byte/Human-Artificial-HAUF.HausaVGMulti-modal Machine Translation (MMT) enables the use of visual information to enhance the quality of translations, especially where the full context is not available to enable the unambiguous translation in standard machine translation. Despite the increasing popularity of such technique, it lacks sufficient and qualitative datasets to maximize the full extent of its potential. Hausa, a Chadic language, is a member of the Afro-Asiatic language family. It is estimated that about 100 to 150 million people speak the language, with more than 80 million indigenous speakers. This is more than any of the other Chadic languages. Despite the large number of speakers, the Hausa language is considered as a low resource language in natural language processing (NLP). This is due to the absence of enough resources to implement most of the tasks in NLP. While some datasets exist, they are either scarce, machine-generated or in the religious domain. Therefore, there is the need to create training and evaluation data for implementing machine learning tasks and bridging the research gap in the language. This work presents the Hausa Visual Genome (HaVG), a dataset that contains the description of an image or a section within the image in Hausa and its equivalent in English. The dataset was prepared by automatically translating the English description of the images in the Hindi Visual Genome (HVG). The synthetic Hausa data was then carefully postedited, taking into cognizance the respective images. The data is made of 32,923 images and their descriptions that are divided into training, development, test, and challenge test set. The Hausa Visual Genome is the first dataset of its kind and can be used for Hausa-English machine translation, multi-modal research, image description, among various other natural language processing and generation tasks.imnet1k_oboe_hautboy_hautboisHausaVQAAjami_Hausa_OCR
Hausa Ajami OCR Dataset
Ce dataset contient des paires image/transcription de manuscrits haoussa en écriture ajami (écriture arabe adaptée au haoussa).
Contenu
Chaque ligne du fichier data/train/metadata.jsonl correspond à une ligne de texte ajami segmentée, avec :
file_name : nom du fichier image correspondant (image de la ligne)
transcript : translittération en écriture latine de la ligne
source : identifiant du manuscrit d'origine (voir tableau ci-dessous)… See the full description on the dataset page: https://huggingface.co/datasets/Sobanane/Ajami_Hausa_OCR.Hausa_Ajami_OCRhausa_turbandbsmol-liberoThis dataset was created using LeRobot.
Dataset Card for Smol-LIBERO
Dataset Summary
Smol-LIBERO is a compact version of the LIBERO benchmark, built to make experimentation fast and accessible.At just 1.79 GB (compared to ~34 GB for the full LIBERO), it contains fewer trajectories and cameras while keeping the same multimodal structure.
Each sample includes:
Images from two fixed cameras
Two types of robot state (end-effector pose + gripper, and full 7-DoF… See the full description on the dataset page: https://huggingface.co/datasets/hauvietnam/smol-libero.Hausa_Ajami_OCR_augmentedhaukeauk