code: def batch_context(self, raw_batch, batch) -> Dict[str, Any]:
      context = super().batch_context(raw_batch, batch)
      for name in self.text_column_names:
          context[name] = [row[name] for row in raw_batch]
      return context
  
imports: from enum import Enum
  from typing import Any, Dict, List
  import numpy
  from pytext.common.constants import Stage
  from pytext.metric_reporters.channel import Channel, ConsoleChannel, FileChannel
  from pytext.metric_reporters.metric_reporter import MetricReporter
  from pytext.metrics.dense_retrieval_metrics import DenseRetrievalMetrics
label_desc: Use image node_id 5 for calling the DenseRetrievalMetricReporter obj's underlying member method code with example usage: obj.batch_context(raw_batch, batch) and returns: context