Agentic AI Instructions: 1,200 Bilingual (ID-EN) Synthetic Pairs

1,200 complex instruction-response pairs were autonomously generated by a local LLM via Ollama. This bilingual dataset in English and Indonesian is designed for training Agentic AI systems. The pipeline, created by Kimsang766, was last updated on June 15, 2026.

Use Cases

• Fine-tuning instruction-following models based on the generated complex instruction-response pairs.
• Training bilingual AI agents based on the parallel English and Indonesian content.
• Benchmarking synthetic data generation pipelines based on the described automated validation and compilation process.
• Developing cross-lingual transfer learning methods based on the paired Indonesian-English data.

Strengths

• Contains 1,200 complex instruction-response pairs, providing a substantial volume of training examples.
• Data is bilingual, offering parallel content in both English and Indonesian.
• Generation pipeline includes automated validation steps, which likely contributes to data consistency.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is known but the specific features and structure of each pair are not detailed.

Provenance

Source

huggingface

Collection Method

Synthetically generated by a local Large Language Model (LLM) running on Ollama via an automated pipeline.

Freshness

Last updated 2026-06-15 16:00:39; freshness should be verified.