Titanium4: Agentic Coding Tasks for DevOps and Cloud Architecture

Titanium 4 is an upcoming dataset of 4,900 rows focused on real-world, challenging agentic coding tasks. Generated by the DeepSeek-V4-Pro model, it prioritizes DevOps and architecture problems across multiple programming languages. The preview was released by sequelbox on Hugging Face in June 2026.

Use Cases

• Fine-tuning language models for infrastructure-as-code (IaC) generation based on the described focus area.
• Benchmarking agent performance on complex cloud architecture tasks mentioned in the description.
• Training coding assistants to handle multi-language, real-world DevOps challenges as indicated by the dataset's scope.

Strengths

• Contains 4,900 rows of preview data for early access.
• Focuses on real-world, challenging agentic coding tasks as described.
• Generated by a specific, named model (DeepSeek-V4-Pro).

Limitations

• Row count is unknown for the full dataset, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

sequelbox on Hugging Face

Collection Method

Generated by the DeepSeek-V4-Pro model.

Freshness

Last updated 2026-06-02 17:53:32; freshness should be verified.