download_dataset command

new_experiment/pipeline/pipeline_process_word_embedding_wer.py

@@ -15,7 +15,7 @@ def run_word_wer_embedding_pipeline(dataset_name: str, asr_name: str):
                 task_name=f'EmbeddingWerMetricsTask___{dataset_name}___{asr_name}',
                 asr_property_name=PropertyHelper.asr_result(asr_name),
                 gold_transcript_property_name=PropertyHelper.get_gold_transcript_words(),
-                require_update=False,
+                require_update=True,
                 embedding_transformer=FasttextEmbeddingTransformer(dataset_name[:2]),
                 embeddings_alignment_property_name=PropertyHelper.word_wer_embeddings_alignment(asr_name),
                 embeddings_metrics_property_name=PropertyHelper.word_wer_embeddings_metrics(asr_name),