## Complete a batch upload and trigger processing

**post** `/api/v1/datasets/upload/complete-batch`

Any TXT files in the batch are converted to csv/jsonl. Batches that still contain documents (pdf/docx/pptx/xlsx/html, or unpacked zip contents) move to awaiting_preprocessing and wait for an explicit launch-preprocessing call. Batches with only tabular formats (csv/json/jsonl/parquet, plus any converted-from-TXT files) move directly to column extraction.

### Body Parameters

- `dataset_id: string`

  Dataset ID from initiate-batch

- `files: array of object { s3_key, file_name, file_format, file_size_bytes }`

  - `s3_key: string`

    S3 key returned from initiate-batch

  - `file_name: string`

    Original file name

  - `file_format: "csv" or "json" or "jsonl" or 8 more`

    File format

    - `"csv"`

    - `"json"`

    - `"jsonl"`

    - `"parquet"`

    - `"pdf"`

    - `"docx"`

    - `"pptx"`

    - `"xlsx"`

    - `"html"`

    - `"zip"`

    - `"txt"`

  - `file_size_bytes: number`

    File size in bytes

- `defer_adaption: optional boolean`

  When true, the upload is stored but Adaptive Data does not start. The dataset stays in `awaiting_preprocessing` until POST /datasets/:id/start-adaption.

### Returns

- `dataset_id: string`

  Dataset ID

- `status: string`

  Current dataset status

### Example

```http
curl https://api.prod.adaptionlabs.ai/api/v1/datasets/upload/complete-batch \
    -H 'Content-Type: application/json' \
    -H "Authorization: Bearer $ADAPTION_API_KEY" \
    -d '{
          "dataset_id": "dataset_id",
          "files": [
            {
              "s3_key": "s3_key",
              "file_name": "file_name",
              "file_format": "csv",
              "file_size_bytes": 0
            }
          ]
        }'
```

#### Response

```json
{
  "dataset_id": "dataset_id",
  "status": "status"
}
```