datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
COLING-2025-CHIPSAL
Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [More Information Needed]
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Dataset Sources [optional]… See the full description on the dataset page: https://huggingface.co/datasets/1-800-SHARED-TASKS/COLING-2025-CHIPSAL.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.COLING-2025-GENAI-3
🚨 RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors 🚨
🌐 Website, 🖥️ Github, 📝 Paper
RAID is the largest & most comprehensive dataset for evaluating AI-generated text detectors.
It contains over 10 million documents spanning 11 LLMs, 11 genres, 4 decoding strategies, and 12 adversarial attacks.
It is designed to be the go-to location for trustworthy third-party evaluation of both open-source and closed-source generated text detectors.
Load… See the full description on the dataset page: https://huggingface.co/datasets/1-800-SHARED-TASKS/COLING-2025-GENAI-3.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.COLING-2025-FINNLP-FMD
Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Dataset Sources [optional]… See the full description on the dataset page: https://huggingface.co/datasets/1-800-SHARED-TASKS/COLING-2025-FINNLP-FMD.LegalLensNER-SharedTaskLegalLensNLI-SharedTasktelugu_news_classificationShared_Task_Fake_News_binarytelugu-summarization-generation
Summary
aya-telugu-news-articles is an open source dataset of instruct-style records generated by webscraping a Telugu news articles website. This was created as part of Aya Open Science Initiative from Cohere For AI.
This dataset can be used for any purpose, whether academic or commercial, under the terms of the Apache 2.0 License.
Supported Tasks:
Training LLMs
Synthetic Data Generation
Data Augmentation
Languages: Telugu Version: 1.0
Dataset Overview… See the full description on the dataset page: https://huggingface.co/datasets/1-800-SHARED-TASKS/telugu-summarization-generation.shared_TaskATextGraphs17-shared-task-datasetWe present a dataset for graph-based question answering. The dataset consists of <question; candidate answer> pairs. For each candidate, we present a graph that is obtained by finding the shortest path between named entities mentioned in a question and a candidate answer. As a knowledge graph, we adopted Wikidata. Our dataset has the following fields:
sample_id - an identifier for <question, candidate answer>;
question - question text;
questionEntity - comma-separated list of names (textual… See the full description on the dataset page: https://huggingface.co/datasets/s-nlp/TextGraphs17-shared-task-dataset.COLING-2025-GENAI-MULTItelugu_teknium_GPTeacher_general_instruct_filtered_romanizedCOLING-2025-GENAI-MONOshared_taskB
