datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
QA_TaiwanEdoctorgemma-4-31b-it-qat-q4_0-unquantized-distribution-fidelity-768x2048-v1
gemma-4-31B-it-qat-q4_0-unquantized quantization analysis
Mean KL divergence against on-disk size
Scored under the distribution-fidelity laws, version 15. Read LAWS.md first: these numbers are comparable only within this artifact's token suite, geometry, and runtime identity, and not against any number produced elsewhere.
Each candidate directory holds its one-pager (report.md), its raw report, its compliance receipt, and its Law 14 attribution where one was produced. reference/… See the full description on the dataset page: https://huggingface.co/datasets/phaedawg/gemma-4-31b-it-qat-q4_0-unquantized-distribution-fidelity-768x2048-v1.Apertus-v1.5-QAT-10K
mlx-community/Apertus-v1.5-QAT-10K
This is a 2000 sample subset of the chosen pairs inside swiss-ai/Apertus_v1p5_Preference_Data for MLX-LM-LoRA and MLX-LoRA-Studio and the Quantization Aware Trained Appertus models.
TheFalcon360-Qatar-Sentinel2
The Falcon 360° Bahrain Sentinel-2 Dataset
Dataset Summary
The Falcon 360° Bahrain Sentinel-2 Dataset is an AI-ready satellite imagery dataset created for computer vision and deep learning applications.
The dataset contains RGB satellite image patches generated from Sentinel-2 Level-2A imagery covering Bahrain.
Creator
Author:
Walaa Ali H. Jumiawi
Organization:
The Falcon 360°
Website:
https://thefalcon360.com
ORCID:… See the full description on the dataset page: https://huggingface.co/datasets/TheFalcon360/TheFalcon360-Qatar-Sentinel2.qa-tvlpl-11kqatari-passports
Disclaimer: All passport images and associated data in this dataset are synthetically generated and do not correspond to real individuals. Any names, numbers, or personal details are fictional and used solely for research and development purposes.
Introduction - Qatar
The Synthetic Qatar Passports Dataset assembles more than 1,000 AI-generated passport images crafted for training OCR and computer vision models on identity documents. Every entry is fully synthetic, so the… See the full description on the dataset page: https://huggingface.co/datasets/ud-synthetic/qatari-passports.QATestQA_TVTS_2024_DATASET
Dataset Q&A Tuyển sinh Đại học Công nghệ - ĐHQGHN (2024)
Mô tả
Bộ dữ liệu gồm các cặp câu hỏi – trả lời (Q&A) được sinh tự động từ nội dung Đề án Tuyển sinh 2024 của Trường Đại học Công nghệ – Đại học Quốc gia Hà Nội. Dữ liệu hướng tới mục tiêu đánh giá các hệ thống hỏi đáp (QA) theo ngữ cảnh chính xác, có thể truy vết nguồn tham chiếu.
Mục đích sử dụng
Sử dụng làm validation mô hình LLM theo bối cảnh giáo dục – tuyển sinh phục vụ mục đích tư vấn tuyển sinh… See the full description on the dataset page: https://huggingface.co/datasets/vnu-llm2023-ftdata/QA_TVTS_2024_DATASET.qa_test_1QA-textbook-datasetqa_test2QAtaminQA_test_jsonqa_tocquevilleqatar-customs-nl2sql
Qatar Customs NL2SQL — Arabic Natural Language to SAP HANA SQL
Fine-tuning dataset for converting Arabic natural language questions into SAP HANA SQL queries for the Qatar General Directorate of Customs (GDC) database.
Dataset Overview
Metric
Value
Total question sets
99
Training examples
320 (3 fuzz levels × 80 questions + 80 follow-ups)
Test examples
76 (3 fuzz levels × 19 questions + 19 follow-ups)
Language
Arabic 🇶🇦 (formal + dialectal)
SQL… See the full description on the dataset page: https://huggingface.co/datasets/replysadiq/qatar-customs-nl2sql.QA_test_tamlyQA_test_tamlyqa_test_datasetsqa_train_datasets