code: def test_read_from_file_ag_news_corpus(self):
      reader = TextClassificationJsonReader()
      ag_path = (
          AllenNlpTestCase.FIXTURES_ROOT
          / "data"
          / "text_classification_json"
          / "ag_news_corpus.jsonl"
      )
      instances = list(reader.read(ag_path))
      is_version_3 = spacy.__version__ >= "3.0"
  
      instance1 = {
          "tokens": [
              "Memphis",
              "Rout",
              "Still",
              "Stings",
              "for",
              "No",
              ".",
              "14",
              "Louisville",
              ";",
              "Coach",
              "Petrino",
              "Vows",
              "to",
              "Have",
              "Team",
              "Better",
              "Prepared",
              ".",
              "NASHVILLE",
              ",",
              "Tenn.",
              "Nov",
              "3",
              ",",
              "2004",
              "-",
              "Louisville",
              "#",
              "39;s",
              "30-point",
              "loss",
              "at",
              "home",
              "to",
              "Memphis",
              "last",
              "season",
              "is",
              "still",
              "a",
              "painful",
              "memory",
              "for",
              "the",
              "Cardinals",
              ".",
          ],
          "label": "2",
      }
      instance1_v3 = {
          "tokens": [
              "Memphis",
              "Rout",
              "Still",
              "Stings",
              "for",
              "No",
              ".",
              "14",
              "Louisville",
              ";",
              "Coach",
              "Petrino",
              "Vows",
              "to",
              "Have",
              "Team",
              "Better",
              "Prepared",
              ".",
              "NASHVILLE",
              ",",
              "Tenn.",
              "Nov",
              "3",
              ",",
              "2004",
              "-",
              "Louisville",
              "#",
              "39;s",
              "30",
              "-",
              "point",
              "loss",
              "at",
              "home",
              "to",
              "Memphis",
              "last",
              "season",
              "is",
              "still",
              "a",
              "painful",
              "memory",
              "for",
              "the",
              "Cardinals",
              ".",
          ],
          "label": "2",
      }
  
      instance2 = {
          "tokens": [
              "AP",
              "-",
              "Eli",
              "Manning",
              "has",
              "replaced",
              "Kurt",
              "Warner",
              "as",
              "the",
              "New",
              "York",
              "Giants",
              "'",
              "starting",
              "quarterback",
              ".",
          ],
          "label": "2",
      }
      instance3 = {
          "tokens": [
              "A",
              "conference",
              "dedicated",
              "to",
              "online",
              "journalism",
              "explores",
              "the",
              "effect",
              "blogs",
              "have",
              "on",
              "news",
              "reporting",
              ".",
              "Some",
              "say",
              "they",
              "draw",
              "attention",
              "to",
              "under",
              "-",
              "reported",
              "stories",
              ".",
              "Others",
              "struggle",
              "to",
              "establish",
              "the",
              "credibility",
              "enjoyed",
              "by",
              "professionals",
              ".",
          ],
          "label": "4",
      }
  
      assert len(instances) == 3
      fields = instances[0].fields
      if is_version_3:
          assert [
              t.text for t in fields["tokens"].tokens
          ] == instance1_v3["tokens"]
      else:
          assert [t.text for t in fields["tokens"].tokens] == instance1[
              "tokens"
          ]
      assert fields["label"].label == instance1["label"]
      fields = instances[1].fields
      assert [t.text for t in fields["tokens"].tokens] == instance2[
          "tokens"
      ]
      assert fields["label"].label == instance2["label"]
      fields = instances[2].fields
      assert [t.text for t in fields["tokens"].tokens] == instance3[
          "tokens"
      ]
      assert fields["label"].label == instance3["label"]
  
file_path: allennlp/tests/data/dataset_readers/text_classification_json_test.py
imports: import pytest
  from typing import List
  import spacy
  from allennlp.data.dataset_readers import TextClassificationJsonReader
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.data.tokenizers.sentence_splitter import SpacySentenceSplitter
  from allennlp.common.util import get_spacy_model
label_desc: Use image node_id 2 for calling the TestTextClassificationJsonReader obj's underlying member method code with example usage: obj.test_read_from_file_ag_news_corpus() without return types