Hanoi Weather Router Data V7 is a training dataset for a weather chatbot router small language model. The dataset contains 3470 training rows and 380 validation rows formatted in a multi-turn ChatML schema with a sliding window context of K=3. It was created by author daredevil467 and last updated on May 7, 2026.
Use Cases
- Training intent classification models based on the described multi-task intent classification data.
- Training scope classification models based on the described scope classification data.
- Training text rewrite models based on the described rewrite classification data.
- Evaluating chatbot routing performance using the provided stratified validation split.
- Benchmarking small language models on multi-turn dialogue tasks using the ChatML format.
Strengths
- Contains 3470 training examples, providing a substantial base for model training.
- Includes a separate validation set of 380 examples created via a stratified split.
- Provides a dedicated system prompt file (1.7k characters) for the router application.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count for the full dataset is unknown, which may limit suitability assessment.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- daredevil467
- Freshness
- Last updated 2026-05-07 10:29:36; freshness should be verified.
- Geography
- Hanoi