## Validate that a set of Datasets can be combined

`datasets.combine.validate(CombineValidateParams**kwargs)`

**post** `/api/v1/datasets/combine/validate`

Synchronous compatibility check. Returns a single `issues` array containing both blockers (`level: "error"`) and reconcilable concerns (`level: "warning"`). `compatible: false` means at least one error-level issue is present (cardinality, ownership, status, run_id). Warning-level entries — column-type mismatches, DPO sources missing ranked generations — are non-blocking; the merge resolves them automatically (mixed types downgrade to instruction_dataset, type mismatches CAST to a common type, etc.). Nothing is written.

### Parameters

- `dataset_ids: Sequence[str]`

  Source Dataset IDs to combine. Must all belong to the caller’s org and be in a combinable state.

### Example

```python
import os
from adaption import Adaption

client = Adaption(
    api_key=os.environ.get("ADAPTION_API_KEY"),  # This is the default and can be omitted
)
client.datasets.combine.validate(
    dataset_ids=["string", "string"],
)
```