| --- |
| license: mit |
| task_categories: |
| - text-generation |
| language: |
| - en |
| tags: |
| - text-to-sql |
| - geospatial |
| - geocoding |
| - duckdb |
| - synthetic |
| size_categories: |
| - 10K<n<100K |
| --- |
| |
| # Gazet Dataset |
| |
| Synthetic training data for finetuning small language models on geospatial tasks over [Overture Maps](https://overturemaps.org/) and [Natural Earth](https://www.naturalearthdata.com/) parquet datasets. |
|
|
| ## Tasks |
| |
| ### SQL generation (`sql/`) |
|
|
| Input: user query + fuzzy-matched candidate entities (CSV) |
| Output: DuckDB spatial SQL query |
| |
| ### Place extraction (`places/`) |
|
|
| Input: natural language query |
| Output: structured JSON with place names, country codes, and subtypes |
| |
| ## Format |
|
|
| Each JSONL row is a conversation in chat-template format: |
| |
| ```json |
| { |
| "messages": [ |
| {"role": "system", "content": "..."}, |
| {"role": "user", "content": "..."}, |
| {"role": "assistant", "content": "..."} |
| ] |
| } |
| ``` |
|
|
| ## Splits |
|
|
| | Task | Train | Val | Test | |
| |---|---|---|---| |
| | SQL | `sql/train.jsonl` | `sql/val.jsonl` | `sql/test.jsonl` | |
| | Places | `places/train.jsonl` | `places/val.jsonl` | `places/test.jsonl` | |
|
|
| See `stats.json` for per-family sample counts. |
|
|
| ## Generation |
|
|
| Data is generated from SQL templates applied to real Overture/Natural Earth spatial relations (adjacency, containment, intersection, etc.). Templates produce both the training SQL and the natural language question. |
|
|
| ## Code & Development |
|
|
| This model was trained and evaluated using code in the [**developmentseed/gazet**](https://github.com/developmentseed/gazet) GitHub repository. |
|
|
| ## Trained model |
| `developmentseed/gazet-model` - Qwen3.5-0.8B finetuned on this dataset |
