titanium
Datasets
All datasets matching “titanium”Titanium2-DeepSeek-R1Click here to support our open-source dataset and model releases!
Titanium2-DeepSeek-R1 is a dataset focused on architecture and DevOps, testing the limits of DeepSeek R1's architect and coding skills!
This dataset contains:
32.4k synthetically generated prompts focused on architecture, cloud, and DevOps. All responses are generated using DeepSeek R1. Primary areas of expertise are architecture (problem solving, scenario analysis, coding, full SDLC) and DevOps (Azure, AWS, GCP, Terraform… See the full description on the dataset page: https://huggingface.co/datasets/sequelbox/Titanium2-DeepSeek-R1.TitaniumTitanium is a dataset containing DevOps-instruct data.
The 2024-10-02 version contains:
26.6k rows of synthetic DevOps-instruct data, using synthetically generated prompts and responses generated using Llama 3.1 405b Instruct. Primary areas of expertise are AWS, Azure, GCP, Terraform, Dockerfiles, pipelines, and shell scripts.
This dataset contains synthetically generated data and has not been subject to manual review.
Titanium4-DeepSeek-V4-ProClick here to support our open-source dataset and model releases - help us speed up our release schedule!
Titanium 4 is an agentic coding dataset focused on DevOps and architecture, testing the limits of DeepSeek-V4-Pro's agentic skills:
Questions prioritize real-world, challenging agentic coding tasks in DevOps and architecture across a variety of programming languages and topics.
Areas of focus include IaC, cloud architecture, incident response, configuration and cost optimization, security… See the full description on the dataset page: https://huggingface.co/datasets/sequelbox/Titanium4-DeepSeek-V4-Pro.Titanium2.1-DeepSeek-R1Click here to support our open-source dataset and model releases!
Titanium2.1-DeepSeek-R1 is a dataset focused on architecture and DevOps, testing the limits of DeepSeek R1's architect and coding skills!
This dataset contains:
31.7k synthetically generated prompts focused on architecture, cloud, and DevOps. All responses are generated using DeepSeek R1. Primary areas of expertise are architecture (problem solving, scenario analysis, coding, full SDLC) and DevOps (Azure, AWS, GCP, Terraform… See the full description on the dataset page: https://huggingface.co/datasets/sequelbox/Titanium2.1-DeepSeek-R1.Titanium2-DeepSeek-R1Click here to support our open-source dataset and model releases!
Titanium2-DeepSeek-R1 is a dataset focused on architecture and DevOps, testing the limits of DeepSeek R1's architect and coding skills!
This dataset contains:
32.4k synthetically generated prompts focused on architecture, cloud, and DevOps. All responses are generated using DeepSeek R1. Primary areas of expertise are architecture (problem solving, scenario analysis, coding, full SDLC) and DevOps (Azure, AWS, GCP, Terraform… See the full description on the dataset page: https://huggingface.co/datasets/gravermistakes/Titanium2-DeepSeek-R1.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.