code: def tldr_filtered_queries_generator(split):
      assert split in ["test", "train", "valid"]
  
      gcs_path = f"https://openaipublic.blob.core.windows.net/summarize-from-feedback/datasets/tldr_3_filtered_queries/{split}.jsonl"
      with blobs.open_file_cached(gcs_path, "rb") as f:
          datas = [json.loads(l) for l in f.readlines()]
  
      for data in datas:
          # NOTE: don't use ref summary, not filtered
          yield dict(
              reference=data["summary"],
              **{k: v for (k, v) in data.items() if k != "summary"},
          )
  
imports: import json
  from summarize_from_feedback.utils import blobs
label_desc: Use image node_id 2 for calling a global function with example usage: tldr_filtered_queries_generator(split) without return types