remove custom loading script

parlogs-observations.py

@@ -1,91 +0,0 @@
-"""Loading script for Paranal Logs Observations."""
-
-import datasets
-import pandas as pd
-
-logger = datasets.logging.get_logger(__name__)
-
-# Add metadata here
-_DESCRIPTION = """
-Paranal Logs Observations is a dataset of observations from the Paranal Observatory.
-"""
-_HOMEPAGE = "https://github.com/paranal-sw/parlogs-observations"
-_LICENSE = "LGPL-2.1"
-_VERSION = "0.1.0"
-_CITATION = ""
-
-
-# Add the root directory of the dataset here
-_ROOT = "https://huggingface.co/datasets/Paranal/parlogs-observations/resolve/main/data"
-
-class ParlogsObsDBConfig(datasets.BuilderConfig):
-    """BuilderConfig for ParlogsObsDB."""
-
-    def __init__(self, name, **kwargs):
-        """Constructs a ParlogsObsDBConfig.
-        Args:
-          **kwargs: keyword arguments forwarded to super.
-        """
-        super(ParlogsObsDBConfig, self).__init__(
-            version=_VERSION, 
-            name=name, 
-            description=_DESCRIPTION,
-            **kwargs,
-        )
-
-class ParlogsObsDB(datasets.GeneratorBasedBuilder):
-    """Paranal Logs Observations."""
-
-    BUILDER_CONFIGS = [
-        ParlogsObsDBConfig(name="GRAVITY-1d"),
-    ]
-
-    def _info(self):
-        if self.config.name == "GRAVITY-1d":
-            features = datasets.Features(
-                {
-                    "@timestamp": datasets.Value("timestamp[s, tz=America/Santiago]"),
-                    "system": datasets.Value("string"),
-                    "hostname": datasets.Value("string"),
-                    "loghost": datasets.Value("string"),
-                    "logtype": datasets.Value("string"),
-                    "envname": datasets.Value("string"),
-                    "procname": datasets.Value("string"),
-                    "procid": datasets.Value("string"),
-                    "module": datasets.Value("string"),
-                    "keywname": datasets.Value("string"),
-                    "keywvalue": datasets.Value("string"),
-                    "keywmask": datasets.Value("string"),
-                    "logtext": datasets.Value("string"),
-                    "trace_id": datasets.Value("int64"),
-                }
-            )
-
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-
-        if self.config.name == "GRAVITY-1d":
-            INSTRUMENT, RANGE = self.config.name.split("-")
-            return [
-                datasets.SplitGenerator(
-                    name=datasets.Split.TRAIN,
-                    gen_kwargs={
-                        "filepath": f'{_ROOT}/{INSTRUMENT}-{RANGE}-meta.parket',
-                        "split": "train",
-                    },
-                ),
-            ]
-
-    def _generate_examples(self, filepath, split):
-
-        if self.config.name == "GRAVITY-1d":
-            out = pd.read_parquet(filepath).to_dict('records')
-            logger.info(f'output: {out}')
-            return out