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Haxxsh/SHROOMCAP2025_DataSet

๐Ÿ„ SHROOM-CAP 2025 Unified Hallucination Detection Dataset ๐Ÿ“– Dataset Description This dataset was created for the SHROOM-CAP 2025 Shared Task on multilingual scientific hallucination detection. It combines and unifies multiple hallucination detection datasets into a single, balanced training corpus for fine-tuning XLM-RoBERTa-Large. Key Features 124,821 total samples - 172x larger than original SHROOM training data Perfectly balanced - 50%โ€ฆ See the full description on the dataset page: https://huggingface.co/datasets/Haxxsh/SHROOMCAP2025_DataSet.

Author / organizationHaxxsh
License (as declared)mit
Downloads126 (as reported by Hugging Face)
Likes0
Created6 December 2025
Last updated at source6 December 2025
hallucination-detectionnlpxlm-robertashroom-capmultilingualfact-checking
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  • 16 Oct 2026 Description: ๐Ÿ„ SHROOM-CAP 2025 Unified Hallucination Detection Dataset ๐Ÿ“– Dataset Description This dataset was created for the SHROOM-CAP 2025 Shared Task on multilingual scientific hallucination detection. It combines and unifies multiple hallucinatio โ†’ ๐Ÿ„ SHROOM-CAP 2025 Unified Hallucination Detection Dataset ๐Ÿ“– Dataset Description This dataset was created for the SHROOM-CAP 2025 Shared Task on multilingual scientific hallucination detection. It combines and unifies multiple hallucinatio

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