Update parquet files

README.md

@@ -1,111 +0,0 @@
----
-annotations_creators:
-- no-annotation
-language:
-- sv
-language_creators:
-- found
-license:
-- mit
-multilinguality:
-- monolingual
-pretty_name: Recept
-size_categories:
-- 10K<n<100K
-source_datasets:
-- original
-tags: []
-task_categories:
-- text-classification
-task_ids: []
----
-
-# Dataset Card for Recept
-
-### Dataset Summary
-
-[More Information Needed]
-
-### Supported Tasks and Leaderboards
-
-[More Information Needed]
-
-### Languages
-
-[More Information Needed]
-
-## Dataset Structure
-
-### Data Instances
-
-[More Information Needed]
-
-### Data Fields
-
-[More Information Needed]
-
-### Data Splits
-
-[More Information Needed]
-
-## Dataset Creation
-
-### Curation Rationale
-
-[More Information Needed]
-
-### Source Data
-
-#### Initial Data Collection and Normalization
-
-[More Information Needed]
-
-#### Who are the source language producers?
-
-[More Information Needed]
-
-### Annotations
-
-#### Annotation process
-
-[More Information Needed]
-
-#### Who are the annotators?
-
-[More Information Needed]
-
-### Personal and Sensitive Information
-
-[More Information Needed]
-
-## Considerations for Using the Data
-
-### Social Impact of Dataset
-
-[More Information Needed]
-
-### Discussion of Biases
-
-[More Information Needed]
-
-### Other Known Limitations
-
-[More Information Needed]
-
-## Additional Information
-
-### Dataset Curators
-
-[More Information Needed]
-
-### Licensing Information
-
-[More Information Needed]
-
-### Citation Information
-
-[More Information Needed]
-
-### Contributions
-
-[More Information Needed]

ica.json → default/recept-train.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:31a19acccdc26ef5944d3b3e2245fe0144cff9e734bc3b19bc83c3d8822dd66d
-size 20817394
+oid sha256:9bf2ea60d7116c5fd1a3df34c2d407d6e6c7d966dccac6778be0b7584d74de95
+size 6363973

recept.py

@@ -1,113 +0,0 @@
-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 Recept(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")),
-                    "ingredients": 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"),
-                        "salt": 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,
-                        }
-                    )
-                
-                nutrition = recipe["nutrition"]
-
-                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": {
-                        "energy": nutrition.get("energy"),
-                        "fat": nutrition.get("fat"),
-                        "salt": nutrition.get("salt"),
-                        "carbohydrates": nutrition.get("carbohydrates"),
-                        "protein": nutrition.get("protein"),
-                    },
-                }