Delete querie.py

querie.py

@@ -1,119 +0,0 @@
-import csv
-import json
-import lzma
-import os
-
-import datasets
-try:
-    import lzma as xz
-except ImportError:
-    import pylzma as xz
-
-
-# TODO: Add BibTeX citation
-# Find for instance the citation on arxiv or on the dataset repo/website
-_CITATION = """\
-@InProceedings{huggingface:dataset,
-title = {A great new dataset},
-author={huggingface, Inc.
-},
-year={2020}
-}
-"""
-
-# You can copy an official description
-_DESCRIPTION = """TODO"""
-
-# TODO: Add a link to an official homepage for the dataset here
-_HOMEPAGE = ""
-
-# TODO: Add the licence for the dataset here if you can find it
-_LICENSE = ""
-
-# The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
-# This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
-_URLS = {
-    "german": "https://huggingface.co/datasets/Stern5497/querie/resolve/main/queries_de.jsonl",
-    "italian": "https://huggingface.co/datasets/Stern5497/querie/resolve/main/queries_it.jsonl",
-    "french": "https://huggingface.co/datasets/Stern5497/querie/resolve/main/queries_fr.jsonl",
-
-}
-
-def get_url(config_name):
-    return _URLS[config_name]
-
-
-class querie(datasets.GeneratorBasedBuilder):
-    """This dataset contains court decision for law area prediction task."""
-
-    VERSION = datasets.Version("1.1.0")
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name="german", version=VERSION, description="This part of my dataset covers the whole dataset"),
-        datasets.BuilderConfig(name="italian", version=VERSION, description="This dataset is for predicting the sub law areas of the public law"),
-        datasets.BuilderConfig(name="french", version=VERSION, description="This dataset is for predicting the sub law areas of the civil law"),
-    ]
-
-    DEFAULT_CONFIG_NAME = "german"  # It's not mandatory to have a default configuration. Just use one if it make sense.
-
-    def _info(self):
-        features = datasets.Features(
-            {
-                "id": datasets.Value("string")
-                # These are the features of your dataset like images, labels ...
-            }
-        )
-        return datasets.DatasetInfo(
-            # This is the description that will appear on the datasets page.
-            description=_DESCRIPTION,
-            # This defines the different columns of the dataset and their types
-            features=features,  # Here we define them above because they are different between the two configurations
-            # If there's a common (input, target) tuple from the features, uncomment supervised_keys line below and
-            # specify them. They'll be used if as_supervised=True in builder.as_dataset.
-            # supervised_keys=("sentence", "label"),
-            # Homepage of the dataset for documentation
-            # homepage=_HOMEPAGE,
-            # License for the dataset if available
-            # license=_LICENSE,
-            # Citation for the dataset
-            # citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        # If several configurations are possible (listed in BUILDER_CONFIGS), the configuration selected by the user is in self.config.name
-
-        # dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLS
-        # It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
-        # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
-        urls = get_url(self.config.name)
-        filepath = dl_manager.download(urls)
-
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "filepath": filepath,
-                    "split": "train",
-                },
-            )
-        ]
-
-    # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
-    def _generate_examples(self, filepath, split):
-        # The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.
-        line_counter = 0
-        try:
-            with xz.open(open(filepath, "rb"), "rt", encoding="utf-8") as f:
-                for id, line in enumerate(f):
-                    line_counter += 1
-                    if line:
-                        data = json.loads(line)
-                        if self.config.name == "german" or self.config.name == "italian" or self.config.name == "french":
-                            yield id,  {
-                                "id": data["id"]
-                            }
-        except lzma.LZMAError as e:
-            print(split, e)
-            if line_counter == 0:
-                raise e