meilisearch: Wrong nbHits when using distinct attribute

There’s an example in meilisearch documentation https://docs.meilisearch.com/reference/features/distinct.html#example

As shown below, the dataset contains three documents representing different versions of a Lee jeans leather jacket.

[
  {
    "id": 1,
    "description": "Leather jacket",
    "brand": "Lee jeans",
    "color": "brown",
    "product_id": "123456"
  },
  {
    "id": 2,
    "description": "Leather jacket",
    "brand": "Lee jeans",
    "color": "black",
    "product_id": "123456"
  },
  {
    "id": 3,
    "description": "Leather jacket",
    "brand": "Lee jeans",
    "color": "blue",
    "product_id": "123456"
  }
]

After setting the distinct attribute (product_id), querying for lee leather jacket would only return the first document found.

{
  "hits": [
    {
      "id": 1,
      "description": "Leather jacket",
      "brand": "Lee jeans",
      "color": "brown",
      "product_id": "123456"
    }
  ],
  "offset": 0,
  "limit": 20,
  "nbHits": 1,
  "exhaustiveNbHits": false,
  "processingTimeMs": 0,
  "query": "lee leather jacket"
}

Example shows nbHits: 1 is expected. I agree with that nbHits value. Nevertheless in our project it returns nbHits: 3, it counts every document from the dataset.

Meilisearch versions: 0.22.0, 0.25.2

P.S. Facet distribution counts every document from the dataset (3 rather than 1), despite there’s a distinct attribute.