Update divemt.py

divemt.py

@@ -40,7 +40,8 @@ _ALL_FIELDS = ['unit_id', 'flores_id', 'item_id', 'subject_id', 'task_type',
      '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'
+     'src_text', 'mt_text', 'tgt_text', 'aligned_edit', 'src_tokens', 'src_annotations',
+     'mt_tokens', 'mt_annotations', 'tgt_tokens', 'tgt_annotations'
 ]
 
 _FLOAT_FIELDS = ["edit_time", "bleu", "chrf", "hter", "n_insert", "n_delete", "n_substitute",
@@ -53,6 +54,11 @@ _STR_FIELDS = ["unit_id", "item_id", "subject_id", "lang_id", "task_type", "tran
     "src_text", "mt_text", "tgt_text", "aligned_edit"
 ]
 
+_STR_SEQ_FIELDS = ['src_tokens', 'mt_tokens', 'tgt_tokens']
+
+_LANG_ANNOTATIONS_FIELDS = ['src_annotations', 'mt_annotations', 'tgt_annotations']
+
+
 class DivEMTConfig(datasets.BuilderConfig):
     """BuilderConfig for the DivEMT Dataset."""
 
@@ -86,12 +92,32 @@ class DivEMT(datasets.GeneratorBasedBuilder):
 
     def _info(self):
         features = {feature: datasets.Value("int32") for feature in self.config.features}
-        for field in _STR_FIELDS:
-            if field in self.config.features:
-                features[field] = datasets.Value("string")
-        for field in _FLOAT_FIELDS:
+        for field in _ALL_FIELDS:
             if field in self.config.features:
-                features[field] = datasets.Value("float32")
+                if field in _STR_FIELDS:
+                    features[field] = datasets.Value("string")
+                if field in _FLOAT_FIELDS:
+                    features[field] = datasets.Value("float32")
+                if field in _STR_SEQ_FIELDS:
+                    features[field] = datasets.Sequence(datasets.Value("string"))
+                if field in _LANG_ANNOTATIONS_FIELDS:
+                    features[field] = datasets.features.Sequence(
+                        datasets.features.Sequence(
+                            {
+                                "id": datasets.Value("int8"),
+                                "text": datasets.Value("string"),
+                                "lemma": datasets.Value("string"),
+                                "upos": datasets.Value("string"),
+                                "xpos": datasets.Value("string"),
+                                "feats": datasets.Value("string"),
+                                "head": datasets.Value("int8"),
+                                "deprel": datasets.Value("string"),
+                                "start_char": datasets.Value("int8"),
+                                "end_char": datasets.Value("int8"),
+                                "ner": datasets.Value("string"),
+                            }
+                        )
+                    )
         return datasets.DatasetInfo(
             description=_DESCRIPTION,
             features=datasets.Features(features),