Get language agnostic articlequality prediction

POST	`/service/lw/inference/v1/models/articlequality:predict`

The goal of this model is to predict/assess the quality of Wikipedia articles. Check the model card for more info.

Examples

curl

Anonymous access

# Get the quality score for an article on English Wikipedia identified by the revision id 123456.
$ curl https://api.wikimedia.org/service/lw/inference/v1/models/articlequality:predict -X POST -d '{"rev_id": 123456, "lang": "en"}' -H "Content-type: application/json"

Logged in access

# Get the quality score for an article on English Wikipedia identified by the revision id 123456.
$ curl https://api.wikimedia.org/service/lw/inference/v1/models/articlequality:predict -X POST -d '{"rev_id": 123456, "lang": "en"}' -H "Authorization: Bearer YOUR_ACCESS_TOKEN" -H "Content-type: application/json"

Python

# Python 3
# Get the quality score for an article on English Wikipedia identified by the revision id 123456.

import json
import requests

use_auth = False
inference_url = 'https://api.wikimedia.org/service/lw/inference/v1/models/articlequality:predict'

if use_auth:
  headers = {
      'Authorization': 'Bearer YOUR_ACCESS_TOKEN',
      'User-Agent': 'YOUR_APP_NAME (YOUR_EMAIL_OR_CONTACT_PAGE)',
      'Content-type': 'application/json'
  }
else:
  headers = {}
data = {"rev_id": 123456, "lang": "en"}
response = requests.post(inference_url, headers=headers, data=json.dumps(data))
print(response.json())

JavaScript

/*
Get the quality score for an article on English Wikipedia identified by the revision id 123456.
*/

const inferenceUrl = "https://api.wikimedia.org/service/lw/inference/v1/models/articlequality:predict";
const accessToken = "YOUR_ACCESS_TOKEN";
const appName = "YOUR_APP_NAME";
const email = "YOUR_EMAIL_OR_CONTACT_PAGE";
let headers = new Headers({
    "Content-Type": "application/json",
    "Authorization": "Bearer " + accessToken,
    "Api-User-Agent": appName + " ( " + email + " )"
});
let data = {"rev_id": 123456, "lang": "en"};

fetch(inferenceUrl, {
    method: "POST",
    headers: headers,
    body: JSON.stringify(data)
})
.then(response => response.json())
.then(inferenceData => console.log(inferenceData));

POST Parameters

`lang` required	A string representing the language code related to the target wiki. Example: "en" for English Wikipedia.
`rev_id` required	The revision id for the wiki identified by the `lang` parameter.
`extended_output`	Whether or not the response should include the extended output of the model. Either true or false. Default: false The extended output includes the feature values used during inference as well as the output label.

Responses

200

Success: Returns a Articlequality Score object.

Example

{
    "model_name": "articlequality", 
    "model_version": "1",
    "wiki_db": "enwiki",
    "revision_id": 123456,
    "score": 0.10748992767177634,
    "features":
    {
        "raw":
        {
            "characters": 625,
            "refs": 0,
            "wikilinks": 8,
            "categories": 0,
            "media": 0,
            "headings": 0,
            "sources": 0,
            "infobox": false,
            "messagebox": false
        },
        "normalized":
        {
            "characters": 0.2589179540286342,
            "refs": 0.0,
            "wikilinks": 0.2710334973090758,
            "categories": 0.0,
            "media": 0.0,
            "headings": 0.0,
            "sources": 0.0,
            "infobox": false,
            "messagebox": false
        }
    }
}