hier is my log:
"python -m prodigy ner.teach ensi_set de_core_news_sm “G:/OneDrive - Bircomp GmbH/Bircomp/Projekte/Entwicklung/AI/Tools/Wortindex/ENSI-Texte/ensi_de_utf8.txt”
14:39:57 - RECIPE: Calling recipe ‘ner.teach’
14:39:57 - RECIPE: Starting recipe ner.teach
{‘spacy_model’: ‘de_core_news_sm’, ‘loader’: None, ‘patterns’: None, ‘exclude’: None, ‘api’: None, ‘source’: ‘G:/OneDrive - Bircomp GmbH/Bircomp/Projekte/Entwicklung/AI/Tools/Wortindex/ENSI-Texte/ensi_de_utf8.txt’, ‘unsegmented’: False, ‘label’: None, ‘dataset’: ‘ensi_set’}
14:39:57 - LOADER: Using file extension ‘txt’ to find loader
G:/OneDrive - Bircomp GmbH/Bircomp/Projekte/Entwicklung/AI/Tools/Wortindex/ENSI-Texte/ensi_de_utf8.txt
14:39:57 - LOADER: Loading stream from txt
14:39:57 - LOADER: Rehashing stream
14:39:58 - RECIPE: Creating EntityRecognizer using model de_core_news_sm
14:39:59 - MODEL: Added sentence boundary detector to model pipeline
[‘sbd’, ‘tagger’, ‘parser’, ‘ner’]
14:39:59 - SORTER: Resort stream to prefer uncertain scores (bias 0.0)
14:39:59 - CONTROLLER: Initialising from recipe
{‘stream’: <prodigy.components.sorters.ExpMovingAverage object at 0x0000022236687278>, ‘dataset’: ‘ensi_set’, ‘on_load’: None, ‘self’: <prodigy.core.Controller object at 0x0000022236687390>, ‘exclude’: None, ‘get_session_id’: None, ‘on_exit’: None, ‘progress’: <prodigy.components.progress.ProgressEstimator object at 0x00000222366872E8>, ‘config’: {‘dataset’: ‘ensi_set’, ‘port’: 8080, ‘auto_create’: True, ‘show_bounding_box_center’: False, ‘host’: ‘localhost’, ‘choice_style’: ‘single’, ‘ner_manual_require_click’: False, ‘diff_style’: ‘words’, ‘theme’: ‘basic’, ‘ner_manual_label_style’: ‘list’, ‘split_sents_threshold’: False, ‘writing_dir’: ‘ltr’, ‘batch_size’: 10, ‘preview_bounding_boxes’: False, ‘show_stats’: False, ‘custom_theme’: {}, ‘choice_auto_accept’: False, ‘api_keys’: {}, ‘show_flag’: False, ‘label’: ‘all’, ‘instructions’: False, ‘db_settings’: {}, ‘swipe’: False, ‘hide_meta’: False, ‘shade_bounding_boxes’: False, ‘html_template’: False, ‘darken_image’: 0, ‘card_css’: False, ‘cors’: True, ‘db’: ‘sqlite’, ‘lang’: ‘de’}, ‘update’: <bound method EntityRecognizer.update of <prodigy.models.ner.EntityRecognizer object at 0x00000222228747F0>>, ‘view_id’: ‘ner’, ‘db’: True}
14:39:59 - VALIDATE: Creating validator for view ID ‘ner’
14:39:59 - DB: Initialising database SQLite
14:39:59 - DB: Connecting to database SQLite
14:39:59 - DB: Loading dataset ‘ensi_set’ (0 examples)
14:39:59 - DB: Creating dataset ‘2018-06-13_14-39-59’
{‘created’: datetime.datetime(2018, 6, 13, 11, 45, 19), ‘description’: ‘ENSI-2017’, ‘author’: ‘RalfBendzko’}
14:39:59 - CONTROLLER: Validating the first batch
14:39:59 - CONTROLLER: Iterating over stream
14:39:59 - PREPROCESS: Splitting sentences
{‘stream’: <generator object at 0x00000222227C0168>, ‘min_length’: None, ‘batch_size’: 32, ‘nlp’: <spacy.lang.de.German object at 0x00000222228745C0>, ‘text_key’: ‘text’}
14:39:59 - FILTER: Filtering duplicates from stream
{‘by_input’: True, ‘stream’: <generator object at 0x00000222227C0048>, ‘by_task’: True}
14:39:59 - FILTER: Filtering out empty examples for key ‘text’
14:39:59 - FILTER: Skipping invalid ‘text’ task
{‘text’: ‘’, ‘_task_hash’: 1839039364, ‘_input_hash’: 616230852}
14:40:00 - MODEL: Predicting spans for batch (batch size 64)
14:40:00 - MODEL: Sorting batch by entity type (batch size 32)
? Starting the web server at http://localhost:8080 …
Open the app in your browser and start annotating!"
But I think I might have the solution: in your 
Sorry again! I’ve already added the fix to prevent this sort of stuff in the next version. I also moved the posts over to this thread, which turned out to be related to the same problem.