WithinUsAI released 1,000,000 JSONL records on January 5, 2026. The dataset is designed for training and evaluating prompt orchestration techniques. Each record references at least one evidence capsule with a public source.
Use Cases
- Train prompt packet compilation systems based on the described prompt orchestration features.
- Evaluate retrieval grounding (RAG) performance based on the evidence capsules referenced in each record.
- Develop tool-use loops (ReAct) based on the described schema enforcement and reasking loops.
- Implement end-of-pass meta-optimization (self-refine style) based on the described training objective.
Strengths
- Contains 1,000,000 JSONL records, providing a substantial volume for training.
- Each record references at least one evidence capsule with a public source, providing a basis for grounding.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- WithinUsAI
- Freshness
- Last updated 2026-01-05 19:43:13; freshness should be verified.