Which LLM Behavior Datasets Would You Actually Want? (tool Use, Grounding, Multi-step, Etc.)

Quick question for folks here working with LLMs

If you could get ready-to-use, behavior-specific datasets, what would you actually want?

I’ve been building Dino Dataset around “lanes” (each lane trains a specific behavior instead of mixing everything), and now I’m trying to prioritize what to release next based on real demand.

Some example lanes / bundles we’re exploring:

Single lanes:

• Structured outputs (strict JSON / schema consistency)
• Tool / API calling (reliable function execution)
• Grounding (staying tied to source data)
• Conciseness (less verbosity, tighter responses)
• Multi-step reasoning + retries

Automation-focused bundles:

• Agent Ops Bundle → tool use + retries + decision flows
• Data Extraction Bundle → structured outputs + grounding (invoices, finance, docs)
• Search + Answer Bundle → retrieval + grounding + summarization
• Connector / Actions Bundle → API calling + workflow chaining

The idea is you shouldn’t have to retrain entire models every time, just plug in the behavior you need.

Curious what people here would actually want to use:

• Which lane would be most valuable for you right now?
• Any specific workflow you’re struggling with?
• Would you prefer single lanes or bundled “use-case packs”?

Trying to build this based on real needs, not guesses.