datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
CAMELYON17
CAMELYON17
1. Tổng quan
CAMELYON17 là dataset mở rộng của CAMELYON16, gồm ảnh WSI hạch bạch huyết canh gác từ 5 trung tâm y tế khác nhau (multi-center), với 1000 WSI (5 slide/bệnh nhân x 200 bệnh nhân). Bài toán chính là phân loại di căn theo 4 mức tại cấp lymph-node (negative/isolated tumor cells/micro-metastases/macro-metastases) và tổng hợp thành pN-stage tại cấp bệnh nhân.
Nguồn dữ liệu: AWS Open Data, s3://camelyon-dataset/CAMELYON17/ (region us-west-2, truy… See the full description on the dataset page: https://huggingface.co/datasets/okbro1234/CAMELYON17.BAREC-Shared-Task-2025-sent
BAREC Shared Task 2025
Dataset Summary
BAREC (the Balanced Arabic Readability Evaluation Corpus) is a large-scale dataset developed for the BAREC Shared Task 2025, focused on fine-grained Arabic readability assessment. The dataset includes over 1M words, annotated across 19 readability levels, with additional mappings to coarser 7, 5, and 3 level schemes.
The dataset is annotated at the sentence level. Document-level readability scores are derived by assigning each… See the full description on the dataset page: https://huggingface.co/datasets/CAMeL-Lab/BAREC-Shared-Task-2025-sent.FIGNEWS-2024This dataset contains the data submitted by all teams in the FIGNEWS shared task as part of the the Second Arabic Natural Language Processing Conference (ArabicNLP 2024).
You can find more details about this shared task at the FIGNEWS homepage.
For more details about the data, please check the FIGNEWS github page.
@misc{zaghouani2024fignewssharedtasknews,
title={The FIGNEWS Shared Task on News Media Narratives},
author={Wajdi Zaghouani and Mustafa Jarrar and Nizar Habash and… See the full description on the dataset page: https://huggingface.co/datasets/CAMeL-Lab/FIGNEWS-2024.BAREC-Shared-Task-2025-doc
BAREC Shared Task 2025
Dataset Summary
BAREC (the Balanced Arabic Readability Evaluation Corpus) is a large-scale dataset developed for the BAREC Shared Task 2025, focused on fine-grained Arabic readability assessment. The dataset includes over 1M words, annotated across 19 readability levels, with additional mappings to coarser 7, 5, and 3 level schemes.
The dataset is annotated at the sentence level. Document-level readability scores are derived by assigning each… See the full description on the dataset page: https://huggingface.co/datasets/CAMeL-Lab/BAREC-Shared-Task-2025-doc.llama2-camel-5kemodu-text-csvthematic_generalization