datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Superpotion-DeepSeek-V3.2-SpecialeClick here to support our open-source dataset and model releases!
Superpotion-DeepSeek-V3.2.Speciale is a dataset containing structured medical reasoning responses, testing the limits of DeepSeek V3.2 Speciale's medical reasoning skills across a wide variety of medical disciplines and tasks!
This dataset contains:
28.8k synthetically generated medical prompts, with all responses generated using DeepSeek V3.2 Speciale.
Structured medical reasoning: Superpotion uses organized, informative… See the full description on the dataset page: https://huggingface.co/datasets/sequelbox/Superpotion-DeepSeek-V3.2-Speciale.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.UML-Generator-Dataset-DeepSeek-V3.2Click here to support our open-source dataset and model releases!
UML-Generator-Dataset-DeepSeek-V3.2 is a dataset focused on analysis and code-reasoning, creating UML diagrams testing the limits of DeepSeek V3.2's modeling and design skills!
This dataset contains:
2.7k synthetically generated prompts to create UML diagrams in response to user input, with all responses generated using DeepSeek V3.2.
All responses contain a multi-step thinking process to perform effective analysis, followed by… See the full description on the dataset page: https://huggingface.co/datasets/sequelbox/UML-Generator-Dataset-DeepSeek-V3.2.Titanium3-DeepSeek-V3.1-TerminusClick here to support our open-source dataset and model releases!
Titanium3-DeepSeek-V3.1-Terminus is a dataset focused on architecture and DevOps, testing the limits of DeepSeek V3.1 Terminus's architect and coding skills!
This dataset contains:
27.7k synthetically generated prompts focused on architecture, cloud, and DevOps. All responses are generated using DeepSeek V3.1 Terminus in reasoning mode:
20k selected technical expertise prompts from sequelbox/Titanium2.1-DeepSeek-R1 focused on… See the full description on the dataset page: https://huggingface.co/datasets/gravermistakes/Titanium3-DeepSeek-V3.1-Terminus.Superpotion-DeepSeek-V3.2-SpecialeClick here to support our open-source dataset and model releases!
Superpotion-DeepSeek-V3.2.Speciale is a dataset containing structured medical reasoning responses, testing the limits of DeepSeek V3.2 Speciale's medical reasoning skills across a wide variety of medical disciplines and tasks!
This dataset contains:
28.8k synthetically generated medical prompts, with all responses generated using DeepSeek V3.2 Speciale.
Structured medical reasoning: Superpotion uses organized, informative… See the full description on the dataset page: https://huggingface.co/datasets/mmrech/Superpotion-DeepSeek-V3.2-Speciale.DES-Reasoning-DeepSeek-V3.1Click here to support our open-source dataset and model releases!
DES-Reasoning-DeepSeek-V3.1 is a dataset focused on analysis and reasoning, creating discrete event simulations testing the limits of DeepSeek V3.1's simulation, Python scripting, and analysis skills!
This dataset contains:
4.03k synthetically generated prompts to create discrete event simulations and analysis chat in response to user input, with all responses generated using DeepSeek V3.1.
All responses contain a multi-step… See the full description on the dataset page: https://huggingface.co/datasets/sequelbox/DES-Reasoning-DeepSeek-V3.1.Titanium3-DeepSeek-V3.1-TerminusClick here to support our open-source dataset and model releases!
Titanium3-DeepSeek-V3.1-Terminus is a dataset focused on architecture and DevOps, testing the limits of DeepSeek V3.1 Terminus's architect and coding skills!
This dataset contains:
27.7k synthetically generated prompts focused on architecture, cloud, and DevOps. All responses are generated using DeepSeek V3.1 Terminus in reasoning mode:
20k selected technical expertise prompts from sequelbox/Titanium2.1-DeepSeek-R1 focused on… See the full description on the dataset page: https://huggingface.co/datasets/sequelbox/Titanium3-DeepSeek-V3.1-Terminus.Tachibana3-Part2-DeepSeek-V3.2Click here to support our open-source dataset and model releases!
Tachibana3-Part2-DeepSeek-V3.2 is a dataset focused on high-difficulty code production tasks, testing the limits of DeepSeek V3.2's code-reasoning skills!
This dataset contains 9.3k high-difficulty code-production prompts:
Questions prioritize real-world, challenging coding tasks across a variety of programming languages and topics.
Areas of focus include back-end and front-end development, mobile, gamedev, cloud, QA, custom… See the full description on the dataset page: https://huggingface.co/datasets/sequelbox/Tachibana3-Part2-DeepSeek-V3.2.Tachibana3-Part1-DeepSeek-V3.1-TerminusClick here to support our open-source dataset and model releases!
Tachibana3-Part1-DeepSeek-V3.1-Terminus is a dataset focused on high-difficulty code production tasks, testing the limits of DeepSeek V3.1 Terminus's code-reasoning skills!
This dataset contains 9.3k high-difficulty code-production prompts:
Questions prioritize real-world, challenging coding tasks across a variety of programming languages and topics.
Areas of focus include back-end and front-end development, mobile, gamedev… See the full description on the dataset page: https://huggingface.co/datasets/sequelbox/Tachibana3-Part1-DeepSeek-V3.1-Terminus.