datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
olivers-mtor-atlas
Oliver's mTOR Atlas
The mTOR pathway, mapped by what the evidence can actually carry. This dataset is the curated corpus behind mtor-atlas.org: 414 hand-selected studies on mTOR (mechanistic target of rapamycin) signalling, each labelled by the kind of study behind it, and a list of 149 pathway entities (genes and proteins, complexes, drugs, interventions, biological processes, diseases, outcomes, organelles, nutrients and conditions) that the studies refer to.
Homepage:… See the full description on the dataset page: https://huggingface.co/datasets/pampalini1/olivers-mtor-atlas.turkish-legal-rag
Turkish Legal RAG Corpus — Türk Hukuku için Açık RAG Datasetı
Tek cümle: 25 önemli Türk kanununun (mevzuat.gov.tr kaynaklı, madde bazlı temiz chunk'lar) + 290 manuel doğrulanmış soru-cevap altın benchmark'ının olduğu açık kaynak Türkçe hukuk RAG datasetı.
🇹🇷 Türkçe Özet — Bu dataset, Türkçe hukuk uygulamaları için sıfırdan üretilmiş açık ve denetlenebilir bir RAG corpus'udur. mevzuat.gov.tr üzerinden alınan 25 ana kanunun madde madde temizlenmiş, chunk'lanmış sürümünü (6.350… See the full description on the dataset page: https://huggingface.co/datasets/mtntasci/turkish-legal-rag.MTSBerquadMTSBerquad is a cleaned and enriched dataset SberQuAD transferred to the Generative QA task. All entities were truecased, refactored by hand to improve readability and consistency. Answers have been expanded and rearranged from MLM QA task to Generative/Long Form QA task. MTSBerquad presented in PyCon 2024 by MTS AI Search Group.
Developed by MTS AI Search Group (Krayko Nikita, Laputin Fedor, Sidorov Ivan)
OCEAN
Big Five Personality Traits
OCEAN
Openness
Conscientiousness
Extraversion
Agreeableness
Neuroticism
MT-ConsistencyDataset Summary
MT-Consistency is a curated benchmark to evaluate how well LLMs maintain correct judgments over multi-turn interactions.
It combines controlled multiple-choice questions with eight types of follow-up prompts that probe susceptibility to pressure, tone, and misinformation, and supports two evaluation protocols—Repetitive and Diverse follow-ups. The benchmark is used to compute metrics such as Position-Weighted Consistency (PWC) and to test mitigation methods like… See the full description on the dataset page: https://huggingface.co/datasets/yubol/MT-Consistency.
