Create dataset.py

dataset.py

@@ -0,0 +1,94 @@
+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