class_docstr: This is a dataset for classifying citation intents in academic papers.
class_docstr_tok: ["This","is","a","dataset","for","classifying","citation","intents","in","academic","papers","."]
docstr: Returns SplitGenerators.
docstr_tok: ["Returns","SplitGenerators","."]
code: def _split_generators(self, dl_manager):
      """Returns SplitGenerators."""
      dl_paths = dl_manager.download_and_extract(
          {
              "scicite": "https://s3-us-west-2.amazonaws.com/ai2-s2-research/scicite/scicite.tar.gz",
          }
      )
      path = os.path.join(dl_paths["scicite"], "scicite")
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN,
              gen_kwargs={"path": os.path.join(path, "train.jsonl")},
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.VALIDATION,
              gen_kwargs={"path": os.path.join(path, "dev.jsonl")},
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.TEST,
              gen_kwargs={"path": os.path.join(path, "test.jsonl")},
          ),
      ]
  
file_path: datasets/tensorflow_datasets/datasets/scicite/scicite_dataset_builder.py
imports: import json
  import os
  from etils import epath
  import numpy
  import tensorflow_datasets.public_api
label_desc: Use image node_id 2 for calling the Builder obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: list