All the import components can be created from a single dialog, but the steps below create them one at a time:

1. First, create a container for the data to be imported. This will be the import's target container.
2. Upload a CSV file. Click on the Create expand_more dropdown at the bottom of the page and select File. This will open a new form.
3. Fill out the Item fields — the document's Title (required) and optional Description, the same fields used when creating a document.
4. Fill out the mandatory File fields:

   Filename

   Click on Choose file and select a CSV file from your computer

   Title

   File title

5. Once all the fields have been filled in, click Save.
6. The browser will open your imported file.
7. Create a mapping query that will transform the uploaded CSV to RDF — the tutorial's Data stage walks through a complete example, categories.rq. Click on the Create expand_more dropdown at the bottom of the page and select CONSTRUCT. This will open a new form.
8. Fill out the Item fields.
9. Fill out the mandatory Query fields:

   Text

   SPARQL CONSTRUCT query string

   You will not be able to save the query if its syntax is not valid SPARQL 1.1.

   Title

   Query title

10. Once all the fields have been filled in, click Save. You can find it saved in the Queries container, which you can open from the document tree in the left sidebar.
11. Click on the Create expand_more dropdown button at the bottom of the page and select CSV Import. This will open a new form.
12. Fill out the Item fields.
13. Fill out the mandatory CSV Import fields:

    File

    Start typing the name of your CSV file and select it from the typeahead

    Query

    Select the mapping query using the typeahead

    Title

    Import title

14. Click Save and you will be redirected to the newly created import document.
15. Reload the document after a few moments to see the import progress. On success, the amount of data imported is displayed; on failure, the constraint violations or other import errors.
16. Go back to the target container to see the newly imported data items.

The import is described by a document, which the command takes as its last argument, so create that document first. With the CLI installed and the LDH_* variables set:

doc=$(ldh create item \
    --title "Categories import" \
    --container "${LDH_BASE}categories/")

ldh import csv \
    --title "Categories" \
    --query-file categories/categories.rq \
    --csv-file categories/categories.csv \
    "$doc"

Source: categories.rq, categories.csv — the mapping and the data are walked through in the CSV imports reference and the tutorial's Data stage

--delimiter defaults to , and can be set to another character.

The command prints the URI of the import it created, a fragment of $doc. The import runs in the background; add --wait to return only once it has ended, with exit code 1 and the error if it failed.