Update divemt.py

divemt.py

@@ -35,12 +35,22 @@ _ALL_FIELDS = ['unit_id', 'flores_id', 'item_id', 'subject_id', 'task_type',
      'len_pause_geq_300', 'n_pause_geq_1000', 'len_pause_geq_1000',
      'event_time', 'num_annotations', 'last_modification_time', 'n_insert',
      'n_delete', 'n_substitute', 'n_shift', 'tot_shifted_words', 'tot_edits',
-     'hter', 'bleu', 'chrf', 'lang_id', 'doc_id', 'time_s', 'time_m',
+     'hter', 'cer', 'bleu', 'chrf', 'lang_id', 'doc_id', 'time_s', 'time_m',
      'time_h', 'time_per_char', 'time_per_word', 'key_per_char',
      'words_per_hour', 'words_per_minute', 'per_subject_visit_order',
      'src_text', 'mt_text', 'tgt_text', 'aligned_edit'
 ]
 
+_FLOAT_FIELDS = ["edit_time", "bleu", "chrf", "hter", "n_insert", "n_delete", "n_substitute",
+    "n_shift", "time_s", "time_m", "time_h", 'time_per_char', 'time_per_word', 'key_per_char',
+    'words_per_hour', 'words_per_minute', 'tot_shifted_words', 'tot_edits', "mt_len_chr",
+    "mt_len_wrd", "cer"
+]
+
+_STR_FIELDS = ["unit_id", "item_id", "subject_id", "lang_id", "task_type", "translation_type",
+    "src_text", "mt_text", "tgt_text", "aligned_edit"
+]
+
 class DivEMTConfig(datasets.BuilderConfig):
     """BuilderConfig for the DivEMT Dataset."""
 
@@ -74,10 +84,10 @@ class IkNlp22PEStyle(datasets.GeneratorBasedBuilder):
 
     def _info(self):
         features = {feature: datasets.Value("int32") for feature in self.config.features}
-        for field in ["unit_id", "item_id", "subject_id", "lang_id", "task_type", "translation_type", "src_text", "mt_text", "tgt_text", "aligned_edit"]:
+        for field in _STR_FIELDS:
             if field in self.config.features:
                 features[field] = datasets.Value("string")
-        for field in ["edit_time", "bleu", "chrf", "hter", "n_insert", "n_delete", "n_substitute", "n_shift", "time_s", "time_m", "time_h", 'time_per_char', 'time_per_word', 'key_per_char', 'words_per_hour', 'words_per_minute', 'tot_shifted_words', 'tot_edits', "mt_len_chr", "mt_len_wrd"]:
+        for field in _FLOAT_FIELDS:
             if field in self.config.features:
                 features[field] = datasets.Value("float32")
         return datasets.DatasetInfo(