From 0f96d4b1f76a7e2278a8964aceae6b89da8623de Mon Sep 17 00:00:00 2001
From: John Lehmann <john.lehmann@gmail.com>
Date: Tue, 5 Mar 2019 13:38:28 -0600
Subject: [PATCH] Run classifier processor for SST-2.

---
 examples/run_classifier.py | 35 ++++++++++++++++++++++++++++++++++-
 1 file changed, 34 insertions(+), 1 deletion(-)

diff --git a/examples/run_classifier.py b/examples/run_classifier.py
index 83f0683a48..4d267fad3b 100644
--- a/examples/run_classifier.py
+++ b/examples/run_classifier.py
@@ -196,6 +196,37 @@ class ColaProcessor(DataProcessor):
         return examples
 
 
+class Sst2Processor(DataProcessor):
+    """Processor for the SST-2 data set (GLUE version)."""
+
+    def get_train_examples(self, data_dir):
+        """See base class."""
+        return self._create_examples(
+            self._read_tsv(os.path.join(data_dir, "train.tsv")), "train")
+
+    def get_dev_examples(self, data_dir):
+        """See base class."""
+        return self._create_examples(
+            self._read_tsv(os.path.join(data_dir, "dev.tsv")), "dev")
+
+    def get_labels(self):
+        """See base class."""
+        return ["0", "1"]
+
+    def _create_examples(self, lines, set_type):
+        """Creates examples for the training and dev sets."""
+        examples = []
+        for (i, line) in enumerate(lines):
+            if i == 0:
+                continue
+            guid = "%s-%s" % (set_type, i)
+            text_a = line[0]
+            label = line[1]
+            examples.append(
+                InputExample(guid=guid, text_a=text_a, text_b=None, label=label))
+        return examples
+
+
 def convert_examples_to_features(examples, label_list, max_seq_length, tokenizer):
     """Loads a data file into a list of `InputBatch`s."""
 
@@ -401,10 +432,12 @@ def main():
         "cola": ColaProcessor,
         "mnli": MnliProcessor,
         "mrpc": MrpcProcessor,
+        "sst-2": Sst2Processor,
     }
 
     num_labels_task = {
         "cola": 2,
+        "sst-2": 2,
         "mnli": 3,
         "mrpc": 2,
     }
@@ -597,7 +630,7 @@ def main():
         model.eval()
         eval_loss, eval_accuracy = 0, 0
         nb_eval_steps, nb_eval_examples = 0, 0
- 
+
         for input_ids, input_mask, segment_ids, label_ids in tqdm(eval_dataloader, desc="Evaluating"):
             input_ids = input_ids.to(device)
             input_mask = input_mask.to(device)