[User]
[SCHEMA]
{"fields": [{"name": "order_id", "type": "string"}, {"name": "item", "type": "string"}, {"name": "qty", "type": "integer"}]}

<|document|>
Orders today:
- O-1003: 2x pencil
- O-1004: 1x notebook

generation_only:
Based on the provided schema, here's a breakdown of the data:

- **order_id**: a unique identifier for each order (e.g., O-1003, O-1004)
- **item**: the product being ordered (e.g., pencil, notebook)
- **qty**: the quantity of the item ordered (e.g., 2, 1)

So, the data can be represented as a list of dictionaries, where each dictionary represents an order:

```json
[
  {
    "order_id": "O-1003",
    "item": "pencil",
    "qty": 2
  },
  {
    "order_id": "O-1004",
    "item": "notebook",
    "qty": 1
  }
]
```

If you want to add more orders, you can simply append another dictionary to the list:

```json
[
  {
    "order_id": "O-1003",
    "item": "pencil",
    "qty": 2
  },
  {
    "order_id": "O-1004",
    "item": "notebook",
    "qty": 1
  },
  {
    "order_id": "O-1005


[User]
[SCHEMA]
{"fields": [{"name": "name", "type": "string"}, {"name": "department", "type": "string"}, {"name": "start_date", "type": "date"}, {"name": "full_time", "type": "boolean"}]}

<|document|>
New hires:
- Priya Singh joined Sales on 2024-08-01 full‑time.
- Ken Adams joined Engineering on 2024-09-15 part‑time.

generation_only:
Based on the provided schema and the given information, we can create a JSON object for each new hire. However, since the schema specifies that the "full_time" field should be a boolean, we will assume that "part-time" is equivalent to False and "full-time" is equivalent to True.

Here's the JSON data:

```json
[
  {
    "name": "Priya Singh",
    "department": "Sales",
    "start_date": "2024-08-01",
    "full_time": true
  },
  {
    "name": "Ken Adams",
    "department": "Engineering",
    "start_date": "2024-09-15",
    "full_time": false
  }
]
```

If you want to add more new hires, you can simply add more JSON objects to the array.