datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Claude-Opus-4.6-stance-distilled-RELATIONALCreated: 2026-03-11
Target: 1000 training examples for QLoRA fine-tuning
Format: OpenAI chat format (system/user/assistant), <think> reasoning traces
Most people create AI to do science problems. I'm creating an AI (Eva) that can effectively navigate life, which is more about relating with people and day-to-day reasoning.
This is the first batch of relating data I distilled from Claude Opus 4.6 oriented with a specific stance, which produces measurably better quality outputs than an unoriented… See the full description on the dataset page: https://huggingface.co/datasets/aptgetupdate/Claude-Opus-4.6-stance-distilled-RELATIONAL.task209_stancedetection_classification
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task209_stancedetection_classification
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task209_stancedetection_classification.task513_argument_stance_classification
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task513_argument_stance_classification
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task513_argument_stance_classification.ALIA-es-discriminative-stance-detection
Dataset Introduction
This corpus comprises 3,000 manually annotated instances for stance detection in Spanish, built from real citizen comments posted on the Decide Madrid participatory democracy platform. Each instance consists of a civic topic (target) — defined by its title and description — paired with a citizen comment, annotated for stance as favor, against, or neutral by 3 independent human annotators.
The dataset is published in full accordance with the principles of… See the full description on the dataset page: https://huggingface.co/datasets/SINAI/ALIA-es-discriminative-stance-detection.