add script

.gitattributes

@@ -52,3 +52,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.jpg filter=lfs diff=lfs merge=lfs -text
 *.jpeg filter=lfs diff=lfs merge=lfs -text
 *.webp filter=lfs diff=lfs merge=lfs -text
+ica.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1 @@
+# Recept

ica.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:31a19acccdc26ef5944d3b3e2245fe0144cff9e734bc3b19bc83c3d8822dd66d
+size 20817394

recept.py

@@ -0,0 +1,104 @@
+import json
+
+import datasets
+
+_DESCRIPTION = "Recipes scraped from ICA.se"
+
+_TRAIN_DOWNLOAD_URL = "./ica.json"
+
+
+difficulty_translations = {
+    "Enkel": "easy",
+    "Medel": "medium",
+    "Avancerad": "hard",
+}
+
+
+difficulties = ["easy", "medium", "hard"]
+
+
+class Skolmat(datasets.GeneratorBasedBuilder):
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "id": datasets.Value("int32"),
+                    "title": datasets.Value("string"),
+                    "preamble": datasets.Value("string"),
+                    "url": datasets.Value("string"),
+                    "cooking_time": datasets.Value("string"),
+                    "difficulty": datasets.ClassLabel(names=difficulties),
+                    "categories": datasets.Sequence(datasets.Value("string")),
+                    "rating": datasets.Value("float32"),
+                    "reviews": datasets.Value("int32"),
+                    "instructions": datasets.Sequence(datasets.Value("string")),
+                    "ingredeints": datasets.Sequence(
+                        {
+                            "heading": datasets.Value("string"),
+                            "list": datasets.Sequence(
+                                {
+                                    "name": datasets.Value("string"),
+                                    "amount": datasets.Value("string"),
+                                }
+                            ),
+                        }
+                    ),
+                    "nutrition": {
+                        "energy": datasets.Value("string"),
+                        "fat": datasets.Value("string"),
+                        "carbohydrates": datasets.Value("string"),
+                        "protein": datasets.Value("string"),
+                    },
+                }
+            ),
+        )
+
+    def _split_generators(self, dl_manager):
+        train_path = dl_manager.download_and_extract(_TRAIN_DOWNLOAD_URL)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN, gen_kwargs={"filepath": train_path}
+            ),
+        ]
+
+    def _generate_examples(self, filepath):
+        with open(filepath, encoding="utf8") as file:
+            for row in file:
+                recipe = json.loads(row)
+                difficulty = recipe.get("difficulty")
+                if difficulty is not None:
+                    difficulty = difficulties.index(difficulty_translations[difficulty])
+
+                ingredient_sections = []
+
+                for section in recipe["ingredients"]:
+                    ingredients = []
+                    for ingredient in section["list"]:
+                        ingredients.append(
+                            {
+                                "name": ingredient["ingr"],
+                                "amount": ingredient["qty"],
+                            }
+                        )
+                    ingredient_sections.append(
+                        {
+                            "heading": section["heading"],
+                            "list": ingredients,
+                        }
+                    )
+
+                yield recipe["id"], {
+                    "id": recipe["id"],
+                    "title": recipe["title"],
+                    "preamble": recipe["preamble"],
+                    "url": recipe["absoluteUrl"],
+                    "cooking_time": recipe.get("cookingTime"),
+                    "difficulty": difficulty,
+                    "categories": recipe["categories"],
+                    "rating": recipe["rating"]["averageRating"],
+                    "reviews": recipe["rating"]["numberOfVotes"],
+                    "instructions": recipe["instructions"],
+                    "ingredients": ingredient_sections,
+                    "nutrition": recipe["nutrition"],
+                }