Remove deprecated dataset script

key-data.py

@@ -1,215 +0,0 @@
-"""Ouroboros-Key Dataset - Evolution telemetry from quine-conversion runs.
-
-This loading script provides multiple configs for different log types:
-- fitness: Population fitness evaluations per generation
-- mutations: Individual mutation events with trait deltas
-- crossovers: Crossover breeding events
-- selection: Tournament selection outcomes
-- speciation: Species clustering snapshots
-- comm_events: Pod-to-pod communication exchanges
-"""
-
-import json
-import datasets
-
-
-_DESCRIPTION = """
-Ouroboros-Key Dataset contains structured JSONL logs from neuroevolution runs.
-The KEY system converts pretrained models into quine-replicant capable models
-using NEAT-style speciation and LoRA adapters.
-"""
-
-_HOMEPAGE = "https://huggingface.co/datasets/tostido/key-data"
-_LICENSE = "MIT"
-
-_URLS = {
-    "fitness": "logs/fitness.jsonl",
-    "mutations": "logs/mutations.jsonl",
-    "crossovers": "logs/crossovers.jsonl",
-    "selection": "logs/selection.jsonl",
-    "speciation": "logs/speciation.jsonl",
-    "comm_events": "logs/comm_events.jsonl",
-    "errors": "logs/errors.jsonl",
-    "performance": "logs/performance.jsonl",
-}
-
-
-class KeyDataConfig(datasets.BuilderConfig):
-    """BuilderConfig for KeyData."""
-
-    def __init__(self, **kwargs):
-        super().__init__(**kwargs)
-
-
-class KeyData(datasets.GeneratorBasedBuilder):
-    """Ouroboros-Key evolution telemetry dataset."""
-
-    VERSION = datasets.Version("1.0.0")
-
-    BUILDER_CONFIGS = [
-        KeyDataConfig(
-            name="fitness",
-            version=VERSION,
-            description="Population fitness evaluations per generation",
-        ),
-        KeyDataConfig(
-            name="mutations",
-            version=VERSION,
-            description="Individual mutation events with trait deltas",
-        ),
-        KeyDataConfig(
-            name="crossovers",
-            version=VERSION,
-            description="Crossover breeding events between parents",
-        ),
-        KeyDataConfig(
-            name="selection",
-            version=VERSION,
-            description="Tournament selection outcomes",
-        ),
-        KeyDataConfig(
-            name="speciation",
-            version=VERSION,
-            description="Species clustering and dynamics",
-        ),
-        KeyDataConfig(
-            name="comm_events",
-            version=VERSION,
-            description="Pod-to-pod communication exchanges",
-        ),
-        KeyDataConfig(
-            name="errors",
-            version=VERSION,
-            description="System errors and warnings",
-        ),
-        KeyDataConfig(
-            name="performance",
-            version=VERSION,
-            description="Runtime performance telemetry",
-        ),
-    ]
-
-    DEFAULT_CONFIG_NAME = "fitness"
-
-    def _info(self):
-        if self.config.name == "fitness":
-            features = datasets.Features({
-                "timestamp": datasets.Value("float64"),
-                "iso_time": datasets.Value("string"),
-                "event": datasets.Value("string"),
-                "generation": datasets.Value("int32"),
-                "population_size": datasets.Value("int32"),
-                "best_fitness": datasets.Value("float64"),
-                "avg_fitness": datasets.Value("float64"),
-                "min_fitness": datasets.Value("float64"),
-                "max_fitness": datasets.Value("float64"),
-                "std_fitness": datasets.Value("float64"),
-                "top_10": datasets.Value("string"),  # JSON array
-                "bottom_5": datasets.Value("string"),  # JSON array
-            })
-        elif self.config.name == "mutations":
-            features = datasets.Features({
-                "timestamp": datasets.Value("float64"),
-                "iso_time": datasets.Value("string"),
-                "event": datasets.Value("string"),
-                "generation": datasets.Value("int32"),
-                "parent_id": datasets.Value("string"),
-                "child_id": datasets.Value("string"),
-                "parent_fitness": datasets.Value("float64"),
-                "mutation_rate": datasets.Value("float64"),
-                "num_mutations": datasets.Value("int32"),
-                "total_delta": datasets.Value("float64"),
-                "parent_traits": datasets.Value("string"),  # JSON object
-                "child_traits": datasets.Value("string"),  # JSON object
-                "deltas": datasets.Value("string"),  # JSON object
-                "mutated_traits": datasets.Value("string"),  # JSON array
-            })
-        elif self.config.name == "crossovers":
-            features = datasets.Features({
-                "timestamp": datasets.Value("float64"),
-                "iso_time": datasets.Value("string"),
-                "event": datasets.Value("string"),
-                "generation": datasets.Value("int32"),
-                "parent1_id": datasets.Value("string"),
-                "parent2_id": datasets.Value("string"),
-                "child_id": datasets.Value("string"),
-                "parent1_fitness": datasets.Value("float64"),
-                "parent2_fitness": datasets.Value("float64"),
-                "parent1_traits": datasets.Value("string"),
-                "parent2_traits": datasets.Value("string"),
-                "child_traits": datasets.Value("string"),
-                "inheritance": datasets.Value("string"),
-                "contribution_p1": datasets.Value("float64"),
-                "contribution_p2": datasets.Value("float64"),
-            })
-        elif self.config.name == "selection":
-            features = datasets.Features({
-                "timestamp": datasets.Value("float64"),
-                "iso_time": datasets.Value("string"),
-                "event": datasets.Value("string"),
-                "generation": datasets.Value("int32"),
-                "method": datasets.Value("string"),
-                "survivors": datasets.Value("int32"),
-                "eliminated": datasets.Value("int32"),
-                "elites_preserved": datasets.Value("int32"),
-                "survivor_fitnesses": datasets.Value("string"),
-                "eliminated_fitnesses": datasets.Value("string"),
-            })
-        elif self.config.name == "speciation":
-            features = datasets.Features({
-                "timestamp": datasets.Value("float64"),
-                "iso_time": datasets.Value("string"),
-                "event": datasets.Value("string"),
-                "generation": datasets.Value("int32"),
-                "species_id": datasets.Value("string"),
-                "species_snapshot": datasets.Value("string"),
-            })
-        elif self.config.name == "comm_events":
-            features = datasets.Features({
-                "timestamp": datasets.Value("float64"),
-                "event_type": datasets.Value("string"),
-                "from_pod": datasets.Value("string"),
-                "to_pods": datasets.Value("string"),
-                "embedding_hash": datasets.Value("string"),
-                "merkle_root": datasets.Value("string"),
-                "data": datasets.Value("string"),
-            })
-        else:
-            # Generic fallback for errors/performance
-            features = datasets.Features({
-                "timestamp": datasets.Value("float64"),
-                "event": datasets.Value("string"),
-                "data": datasets.Value("string"),
-            })
-
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-        )
-
-    def _split_generators(self, dl_manager):
-        filepath = dl_manager.download_and_extract(_URLS[self.config.name])
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={"filepath": filepath},
-            ),
-        ]
-
-    def _generate_examples(self, filepath):
-        with open(filepath, encoding="utf-8") as f:
-            for idx, line in enumerate(f):
-                line = line.strip()
-                if not line:
-                    continue
-                try:
-                    row = json.loads(line)
-                    # Serialize nested objects to JSON strings for HF compatibility
-                    for key in row:
-                        if isinstance(row[key], (dict, list)):
-                            row[key] = json.dumps(row[key])
-                    yield idx, row
-                except json.JSONDecodeError:
-                    continue