Delete letras-carnaval-cadiz.py

letras-carnaval-cadiz.py

@@ -1,64 +0,0 @@
-from datasets import DatasetBuilder, SplitGenerator, Split, Features, Value, Sequence, BuilderConfig
-from datasets.utils.download_manager import DownloadManager
-from typing import List, Any, Tuple
-import json
-import os
-
-# Mapping for song_type and group_type
-song_type_mapping = {
-    1: "presentación",
-    2: "pasodoble/tango",
-    3: "cuplé",
-    4: "estribillo",
-    5: "popurrí",
-    6: "cuarteta",
-}
-
-group_type_mapping = {
-    1: "coro",
-    2: "comparsa",
-    3: "chirigota",
-    4: "cuarteto",
-}
-
-class CadizCarnivalConfig(BuilderConfig):
-    def __init__(self, **kwargs):
-        super(CadizCarnivalConfig, self).__init__(**kwargs)
-
-class CadizCarnivalDataset(DatasetBuilder):
-    VERSION = "1.0.0"
-    BUILDER_CONFIGS = [
-        CadizCarnivalConfig(name="accurated", description="This part of my dataset covers accurated data"),
-        CadizCarnivalConfig(name="mid-accurated", description="This part of my dataset covers mid-accurated data"),
-    ]
-
-    def _info(self):
-        return Features({
-            "id": Value("string"),
-            "authors": Sequence(Value("string")),
-            "song_type": Value("string"),
-            "year": Value("string"),
-            "group": Value("string"),
-            "group_type": Value("string"),
-            "lyric": Sequence(Value("string")),
-        })
-
-    def _split_generators(self, dl_manager: DownloadManager) -> List[SplitGenerator]:
-        paths = dl_manager.download_and_extract({
-            "accurated": "data/accurate-00000-of-00001.json",
-            "mid-accurated": "data/mid-accurate-00000-of-00001.json"
-        })
-
-        if self.config.name == "accurated":
-            return [SplitGenerator(name=Split.TRAIN, gen_kwargs={"filepath": paths["accurated"]})]
-        elif self.config.name == "mid-accurated":
-            return [SplitGenerator(name=Split.TEST, gen_kwargs={"filepath": paths["mid-accurated"]})
-    ]
-
-def _generate_examples(self, filepath: str) -> Tuple[str, Any]:
-    with open(filepath, encoding="utf-8") as f:
-        data = json.load(f)
-        for item in data:
-            item["song_type"] = song_type_mapping.get(item["song_type"], "indefinido")
-            item["group_type"] = group_type_mapping.get(item["group_type"], "indefinido")
-            yield item["id"], item