Delete Phantom_Hallucination_Detection.py

Phantom_Hallucination_Detection.py

@@ -1,71 +0,0 @@
-import os
-import datasets
-
-_CITATION = ""  # Add citation if available
-_DESCRIPTION = "Phantom Hallucination Detection dataset with multiple configurations based on token length and position."
-_HOMEPAGE = "https://huggingface.co/datasets/seyled/Phantom_Hallucination_Detection"
-_LICENSE = "for-review-only"
-
-# List of all configurations (filename without path or extension)
-CONFIG_NAMES = [
-    "10K_seed", "497K_seed", "8K_seed", "def14a_seed",
-    "10K_2000tokens_beginning", "10K_2000tokens_middle", "10K_2000tokens_end",
-    "10K_5000tokens_beginning", "10K_5000tokens_middle", "10K_5000tokens_end",
-    "10K_10000tokens_beginning", "10K_10000tokens_middle", "10K_10000tokens_end",
-    "10K_20000tokens_beginning", "10K_20000tokens_middle", "10K_20000tokens_end",
-    "10K_30000tokens_beginning", "10K_30000tokens_middle", "10K_30000tokens_end",
-    "def14A_2000tokens_beginning", "def14A_2000tokens_middle", "def14A_2000tokens_end",
-    "def14A_5000tokens_beginning", "def14A_5000tokens_middle", "def14A_5000tokens_end",
-    "def14A_10000tokens_beginning", "def14A_10000tokens_middle", "def14A_10000tokens_end",
-    "def14A_20000tokens_beginning", "def14A_20000tokens_middle", "def14A_20000tokens_end",
-    "def14A_30000tokens_beginning", "def14A_30000tokens_middle", "def14A_30000tokens_end"
-]
-
-# Define a config per dataset variant
-class PhantomConfig(datasets.BuilderConfig):
-    def __init__(self, data_file, **kwargs):
-        super().__init__(**kwargs)
-        self.data_file = data_file
-
-class PhantomDataset(datasets.GeneratorBasedBuilder):
-    BUILDER_CONFIG_CLASS = PhantomConfig
-    BUILDER_CONFIGS = [
-        PhantomConfig(
-            name=config_name,
-            version=datasets.Version("1.0.0"),
-            description=f"Phantom dataset variant: {config_name}",
-            data_file=f"PhantomDataset/Phantom_{config_name}.csv"
-        )
-        for config_name in CONFIG_NAMES
-    ]
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features({
-                "query": datasets.Value("string"),
-                "context": datasets.Value("string"),
-                "answer": datasets.Value("string"),
-                "ground_truth_label": datasets.Value("string"),
-            }),
-            supervised_keys=None,
-            homepage=_HOMEPAGE,
-            citation=_CITATION,
-            license=_LICENSE,
-        )
-
-    def _split_generators(self, dl_manager):
-        data_file = dl_manager.download_and_extract(self.config.data_file)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={"filepath": data_file},
-            )
-        ]
-
-    def _generate_examples(self, filepath):
-        import csv
-        with open(filepath, encoding="utf-8") as f:
-            reader = csv.DictReader(f)
-            for idx, row in enumerate(reader):
-                yield idx, row