Delete dataset.py

dataset.py

@@ -1,94 +0,0 @@
-import os
-import csv
-import json
-import datasets
-
-EXPERIMENTS = {
-    "test1": "05-19-35",
-    "test2": "06-38-03",
-    "test3": "15-12-05",
-    "test4": "10-49-18",
-    "test5": "11-04-24",
-}
-
-FILETYPES = [
-    "output",
-    "cpu_monitor",
-    "cpustat_monitor",
-    "irq_monitor",
-    "softirq_monitor",
-    "meminfo_monitor",
-    "sysinfo",
-]
-
-
-class MonitoringConfig(datasets.BuilderConfig):
-    def __init__(self, filetype, **kwargs):
-        super().__init__(version=datasets.Version("1.0.0"), **kwargs)
-        self.filetype = filetype
-
-
-class MonitoringDataset(datasets.GeneratorBasedBuilder):
-
-    BUILDER_CONFIGS = [
-        MonitoringConfig(
-            name=filetype,
-            filetype=filetype,
-            description=f"{filetype} across all experiments"
-        )
-        for filetype in FILETYPES
-    ]
-
-    def _info(self):
-        filetype = self.config.filetype
-
-        # JSON sysinfo
-        if filetype == "sysinfo":
-            return datasets.DatasetInfo(
-                features=datasets.Features({"json": datasets.Value("string")})
-            )
-
-        # For optional output.csv, detect header only if a sample exists
-        for folder in EXPERIMENTS.values():
-            path = os.path.join(folder, f"{filetype}.csv")
-            if os.path.exists(path):
-                with open(path, "r") as f:
-                    header = next(csv.reader(f))
-                return datasets.DatasetInfo(
-                    features=datasets.Features({col: datasets.Value("string") for col in header})
-                )
-
-        # No experiment contains this filetype → return empty schema
-        return datasets.DatasetInfo(
-            features=datasets.Features({})
-        )
-
-    def _split_generators(self, dl_manager):
-        return [
-            datasets.SplitGenerator(
-                name=exp_name,
-                gen_kwargs={"folder": folder, "filetype": self.config.filetype}
-            )
-            for exp_name, folder in EXPERIMENTS.items()
-        ]
-
-    def _generate_examples(self, folder, filetype):
-
-        # JSON
-        if filetype == "sysinfo":
-            json_path = os.path.join(folder, "sysinfo.json")
-            if not os.path.exists(json_path):
-                return
-            with open(json_path, "r") as f:
-                data = json.load(f)
-            yield 0, {"json": json.dumps(data)}
-            return
-
-        path = os.path.join(folder, f"{filetype}.csv")
-        if not os.path.exists(path):
-            return  # gracefully skip this experiment
-
-        with open(path, "r") as f:
-            reader = csv.DictReader(f)
-            for idx, row in enumerate(reader):
-                yield idx, row