---
license: apache-2.0
task_categories:
- text-generation
language:
- en
tags:
- intent-parsing
- structured-output
- synthetic
- weather
size_categories:
- 1K<n<10K
configs:
- config_name: default
  data_files:
  - split: train
    path: train.jsonl
  - split: eval
    path: eval.jsonl
---
# weather-intent

Synthetic dataset for fine-tuning a small model to parse a natural-language weather
question into a compact structured **intent** (JSON), scored by field-level exact
match. Trains [Nicholas55555/qwen2.5-1.5b-weather-intent](https://huggingface.co/Nicholas55555/qwen2.5-1.5b-weather-intent).

```json
{"utterance": "will it rain in Paris this weekend?",
 "intent": {"location": "Paris", "date": "this_weekend", "metric": "rain", "time_of_day": null},
 "category": "basic"}
```

## Fields

| field | description |
|---|---|
| `utterance` | the natural-language weather question |
| `intent` | target slots: `location`, `date`, `metric`, `time_of_day` |
| `category` | failure-mode bucket (below) |

## Slot vocabulary

| slot | values |
|---|---|
| `location` | place name, or `null` |
| `date` | `today`, `tomorrow`, `day_after_tomorrow`, `this_weekend`, `next_weekend`, `next_week`, a weekday, or `null` |
| `metric` | `temperature`, `rain`, `snow`, `wind`, `humidity`, `uv`, `cloud`, `general` |
| `time_of_day` | `morning`, `afternoon`, `evening`, `night`, or `null` |

## Splits

| split | rows |
|---|---|
| train | 1200 |
| eval | 217 |

The `eval` split is category-balanced with a hand-authored hard set. `category`
buckets each example by failure mode: `basic`, `multi_slot`, `implicit_slot`, `date_reasoning`, `vague`, `ood`.

## Generation

Programmatic and correct-by-construction: slots are sampled first, the utterance is
rendered from them, so labels are exact. Deliberate phrasing variety (prefixes, slot
ordering, synonymous stems); an optional distillation mode paraphrases seeds with a
frontier model. The task is **parsing only** — volatile forecast facts and any
rendering live in downstream code, never in the labels.