datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Raiden-DeepSeek-R1Click here to support our open-source dataset and model releases!
Raiden-DeepSeek-R1 is a dataset containing creative-reasoning and analytic-reasoning responses, testing the limits of DeepSeek R1's reasoning skills!
This dataset contains:
63k 'creative_content' and 'analytical_reasoning' prompts from microsoft/orca-agentinstruct-1M-v1, with all responses generated by deepseek-ai/DeepSeek-R1.
Responses demonstrate the reasoning capabilities of DeepSeek's 685b parameter R1 reasoning model.… See the full description on the dataset page: https://huggingface.co/datasets/sequelbox/Raiden-DeepSeek-R1.Raiden-Mini-DeepSeek-V3.2-SpecialeClick here to support our open-source dataset and model releases!
Raiden-Mini-DeepSeek-V3.2.Speciale is a dataset containing creative-reasoning and analytic-reasoning responses, testing the limits of DeepSeek-V3.2.Speciale's reasoning skills!
This dataset contains:
a default subset of ~8k 'creative_content' and 'analytical_reasoning' prompts from sequelbox/Raiden-DeepSeek-R1, with all responses generated by DeepSeek V3.2 Speciale.
provides an unfiltered look into the reasoning skills of… See the full description on the dataset page: https://huggingface.co/datasets/sequelbox/Raiden-Mini-DeepSeek-V3.2-Speciale.RAID
RAID: Referential Availability in Implied Discourse
Dataset Summary
The RAID (Referential Availability in Implied Discourse) dataset is a custom synthetic dataset designed to evaluate if Large Language Models (LLMs) track the dynamic availability of discourse entities through implied cues. The dataset is meant for probing and behavioural evaluation to see if an LLM has the ability to maintain an internal situation model of referential availability, whether an… See the full description on the dataset page: https://huggingface.co/datasets/tbogaers/RAID.Hierarchical-Preference-Dataset
Hierarchical Preference Dataset
The Hierarchical Preference Dataset is a structured dataset for analyzing and evaluating model reasoning through a hierarchical cognitive decomposition lens. It is derived from the prhegde/preference-data-math-stack-exchange dataset and extends it with annotations that separate model outputs into Refined Query, Meta-Thinking, and Refined Answer components.
Overview
Each sample in this dataset consists of:
An instruction or query.
Two… See the full description on the dataset page: https://huggingface.co/datasets/Death-Raider/Hierarchical-Preference-Dataset.