diff --git a/new_experiment/add_to_queue_pipeline.py b/new_experiment/add_to_queue_pipeline.py
index b929cf08e5121cdcb5a2ef6fb2c5459aa6fd5bd9..9b9728bfc29bde6482869d3efb1c91a82a9165d0 100644
--- a/new_experiment/add_to_queue_pipeline.py
+++ b/new_experiment/add_to_queue_pipeline.py
@@ -49,30 +49,31 @@ def add_whisper(channel: BlockingChannel):
         asr_name = f'whisper_{whisper_variant}'
         for dataset_name in get_all_datasets_with_language():
             for command in COMMANDS:
-                add_to_queue(dataset_name, asr_name, command, channel)
+                add_to_queue(dataset_name, asr_name, command, channel, 'asr_benchmark_experiments')
 
 
 def get_hf_facebook_wav2vec2_model_by_language_code(language_code: str) -> str:
     return {
-        'nl': 'facebook_wav2vec2_large_xlsr_53_dutch',
-        'en': 'facebook_wav2vec2_xls_r_300m',
-        'fr': 'facebook_wav2vec2_large_xlsr_53_french',
-        'de': 'facebook_wav2vec2_large_xlsr_53_german',
-        'it': 'facebook_wav2vec2_large_xlsr_53_italian',
-        'pl': 'facebook_wav2vec2_large_xlsr_53_polish',
-        'es': 'facebook_wav2vec2_large_xlsr_53_spanish'
+        # 'nl': 'facebook_wav2vec2_large_xlsr_53_dutch',
+        'en': 'facebook_wav2vec2_large_960h_lv60_self',
+        # 'fr': 'facebook_wav2vec2_large_xlsr_53_french',
+        # 'de': 'facebook_wav2vec2_large_xlsr_53_german',
+        # 'it': 'facebook_wav2vec2_large_xlsr_53_italian',
+        # 'pl': 'facebook_wav2vec2_large_xlsr_53_polish',
+        # 'es': 'facebook_wav2vec2_large_xlsr_53_spanish'
     }[language_code]
 
 
 def add_facebook_hf_wav2vec2_asr(channel: BlockingChannel):
     for dataset_name in get_all_datasets_with_language():
-        add_to_queue(
-            dataset_name,
-            get_hf_facebook_wav2vec2_model_by_language_code(dataset_name[:2]),
-            'hf_facebook_wav2vec2_asr',
-            channel,
-            'hf_facebook_wav2vec2_asr'
-        )
+        if dataset_name.startswith('en'):
+            add_to_queue(
+                dataset_name,
+                get_hf_facebook_wav2vec2_model_by_language_code(dataset_name[:2]),
+                'hf_facebook_wav2vec2_asr',
+                channel,
+                'hf_facebook_wav2vec2_asr'
+            )
 
 
 def main():
diff --git a/new_experiment/pipeline/pipeline_process_asr.py b/new_experiment/pipeline/pipeline_process_asr.py
index c883a3d759cca85dd0003b3e9159ff723cefd412..1860df6435f6e22e427f879b32b491979e7be5f8 100644
--- a/new_experiment/pipeline/pipeline_process_asr.py
+++ b/new_experiment/pipeline/pipeline_process_asr.py
@@ -10,8 +10,8 @@ from sziszapangma.integration.task.asr_task import AsrTask
 def get_asr_processor(asr_name: str) -> AsrProcessor:
     if asr_name == 'facebook_wav2vec2_large_xlsr_53_dutch':
         return Wav2Vec2AsrProcessor('facebook/wav2vec2-large-xlsr-53-dutch')
-    if asr_name == 'facebook_wav2vec2_xls_r_300m':
-        return Wav2Vec2AsrProcessor('facebook/wav2vec2-xls-r-300m')
+    if asr_name == 'facebook_wav2vec2_large_960h_lv60_self':
+        return Wav2Vec2AsrProcessor('facebook/wav2vec2-large-960h-lv60-self')
     if asr_name == 'facebook_wav2vec2_large_xlsr_53_french':
         return Wav2Vec2AsrProcessor('facebook/wav2vec2-large-xlsr-53-french')
     if asr_name == 'facebook_wav2vec2_large_xlsr_53_german':
@@ -34,7 +34,7 @@ def run_hf_facebook_wav2vec2_asr_task(dataset_name: str, asr_name: str):
             AsrTask(
                 asr_property_name=PropertyHelper.asr_result(asr_name),
                 task_name=f'AsrTask___{dataset_name}___{asr_name}',
-                require_update=True,
+                require_update=False,
                 asr_processor=get_asr_processor(asr_name),
                 record_path_provider=record_provider
             )
diff --git a/new_experiment/pipeline/pipeline_process_spacy_dep_tag_wer.py b/new_experiment/pipeline/pipeline_process_spacy_dep_tag_wer.py
index 8e2d5684d35878ec89a33a868af6734af6c3e215..c66a8f393188b41b8292be92335436aa4c682564 100644
--- a/new_experiment/pipeline/pipeline_process_spacy_dep_tag_wer.py
+++ b/new_experiment/pipeline/pipeline_process_spacy_dep_tag_wer.py
@@ -1,7 +1,3 @@
-import argparse
-
-from experiment.const_pipeline_names import GOLD_TRANSCRIPT
-from experiment.experiment_dependency_provider import get_record_provider, get_repository
 from experiment.sentence_wer_processor.spacy_pos_sentence_dep_tag_processor import SpacyDepTagSentenceWerProcessor
 from new_experiment.new_dependency_provider import get_experiment_repository, get_minio_audio_record_repository
 from new_experiment.utils.get_spacy_model_name import get_spacy_model_name
@@ -25,7 +21,7 @@ def run_spacy_dep_tag_wer_pipeline(dataset_name: str, asr_name: str):
                 alignment_property_name=PropertyHelper.dep_tag_alignment(asr_name, model_name),
                 wer_property_name=PropertyHelper.dep_tag_metrics(asr_name, model_name),
                 task_name=f'SpacyDepTagSentenceWerProcessor___{dataset_name}___{asr_name}',
-                require_update=True
+                require_update=False
             )
         ],
         experiment_repository=repository,
diff --git a/new_experiment/pipeline/pipeline_process_spacy_ner_wer.py b/new_experiment/pipeline/pipeline_process_spacy_ner_wer.py
index c74e41960e8123e9d6fb2f374eab57e0e083a2c2..9cdf4b02410bed11155a71d84b18a0bcf746ba0a 100644
--- a/new_experiment/pipeline/pipeline_process_spacy_ner_wer.py
+++ b/new_experiment/pipeline/pipeline_process_spacy_ner_wer.py
@@ -1,7 +1,3 @@
-import argparse
-
-from experiment.const_pipeline_names import GOLD_TRANSCRIPT
-from experiment.experiment_dependency_provider import get_record_provider, get_repository
 from experiment.sentence_wer_processor.spacy_ner_sentence_wer_processor import SpacyNerSentenceWerProcessor
 from new_experiment.new_dependency_provider import get_experiment_repository, get_minio_audio_record_repository
 from new_experiment.utils.get_spacy_model_name import get_spacy_model_name
@@ -25,7 +21,7 @@ def run_spacy_ner_wer_pipeline(dataset_name: str, asr_name: str):
                 alignment_property_name=PropertyHelper.ner_alignment(asr_name, model_name),
                 wer_property_name=PropertyHelper.ner_metrics(asr_name, model_name),
                 task_name=f'SpacyNerSentenceWerProcessor___{dataset_name}___{asr_name}',
-                require_update=True
+                require_update=False
             )
         ],
         experiment_repository=repository,
diff --git a/new_experiment/pipeline/pipeline_process_spacy_pos_wer.py b/new_experiment/pipeline/pipeline_process_spacy_pos_wer.py
index 5959dc97a59cc9e3d345aaa86da7d67ba4d499ac..1af0b659d10866a46aadacd3f628839e3ba1ab4f 100644
--- a/new_experiment/pipeline/pipeline_process_spacy_pos_wer.py
+++ b/new_experiment/pipeline/pipeline_process_spacy_pos_wer.py
@@ -1,4 +1,3 @@
-from experiment.experiment_dependency_provider import get_record_provider, get_repository
 from experiment.sentence_wer_processor.spacy_pos_sentence_wer_processor import SpacyPosSentenceWerProcessor
 from new_experiment.new_dependency_provider import get_experiment_repository, get_minio_audio_record_repository
 from new_experiment.utils.get_spacy_model_name import get_spacy_model_name
@@ -22,7 +21,7 @@ def run_spacy_pos_wer_pipeline(dataset_name: str, asr_name: str):
                 alignment_property_name=PropertyHelper.pos_alignment(asr_name, model_name),
                 wer_property_name=PropertyHelper.pos_metrics(asr_name, model_name),
                 task_name=f'SpacyPosSentenceWerProcessor___{dataset_name}___{asr_name}',
-                require_update=True
+                require_update=False
             )
         ],
         experiment_repository=repository,
diff --git a/new_experiment/pipeline/pipeline_process_wikineural_ner_wer.py b/new_experiment/pipeline/pipeline_process_wikineural_ner_wer.py
index 761abb4315150b7fdd9e47c4f531250b038c4507..3675fc95d3e93e6053ee2df352e79f7ffb1ca1c4 100644
--- a/new_experiment/pipeline/pipeline_process_wikineural_ner_wer.py
+++ b/new_experiment/pipeline/pipeline_process_wikineural_ner_wer.py
@@ -1,4 +1,3 @@
-from experiment.experiment_dependency_provider import get_record_provider, get_repository
 from experiment.sentence_wer_processor.wikineural_multilingual_ner_transformers_wer_processor_base import \
     WikineuralMultilingualNerTransformersWerProcessorBase
 from new_experiment.new_dependency_provider import get_experiment_repository, get_minio_audio_record_repository
diff --git a/new_experiment/pipeline/pipeline_process_word_classic_wer.py b/new_experiment/pipeline/pipeline_process_word_classic_wer.py
index 231a696ae4190ab8c261e6718f56148e98f480ec..212e3db6eb95eb802a7d95134374e3c79dc0f1e5 100644
--- a/new_experiment/pipeline/pipeline_process_word_classic_wer.py
+++ b/new_experiment/pipeline/pipeline_process_word_classic_wer.py
@@ -15,7 +15,7 @@ def run_word_wer_classic_pipeline(dataset_name: str, asr_name: str):
                 asr_property_name=PropertyHelper.asr_result(asr_name),
                 gold_transcript_property_name=PropertyHelper.get_gold_transcript_words(),
                 metrics_property_name=PropertyHelper.word_wer_classic_metrics(asr_name),
-                require_update=True,
+                require_update=False,
                 alignment_property_name=PropertyHelper.word_wer_classic_alignment(asr_name)
             ),
         ],
diff --git a/new_experiment/pipeline/pipeline_process_word_embedding_wer.py b/new_experiment/pipeline/pipeline_process_word_embedding_wer.py
index 8f942f0c32c33e1386753100bfb83b0660f93772..90267877bc05a2d152f4f4041c62ccb160ef2ad8 100644
--- a/new_experiment/pipeline/pipeline_process_word_embedding_wer.py
+++ b/new_experiment/pipeline/pipeline_process_word_embedding_wer.py
@@ -1,14 +1,8 @@
-import argparse
-
-from experiment.const_pipeline_names import GOLD_TRANSCRIPT
-from experiment.experiment_dependency_provider import get_record_provider, get_repository
 from new_experiment.new_dependency_provider import get_experiment_repository, get_minio_audio_record_repository
 from new_experiment.utils.loaded_remote_dataset_helper import LoadedRemoteDatasetHelper
 from new_experiment.utils.property_helper import PropertyHelper
 from sziszapangma.core.transformer.fasttext_embedding_transformer import FasttextEmbeddingTransformer
-from sziszapangma.core.transformer.web_embedding_transformer import WebEmbeddingTransformer
 from sziszapangma.integration.experiment_manager import ExperimentManager
-from sziszapangma.integration.task.classic_wer_metric_task import ClassicWerMetricTask
 from sziszapangma.integration.task.embedding_wer_metrics_task import EmbeddingWerMetricsTask
 
 
@@ -22,7 +16,7 @@ def run_word_wer_embedding_pipeline(dataset_name: str, asr_name: str):
                 asr_property_name=PropertyHelper.asr_result(asr_name),
                 gold_transcript_property_name=PropertyHelper.get_gold_transcript_words(),
                 metrics_property_name=PropertyHelper.word_wer_embeddings_metrics(asr_name),
-                require_update=True,
+                require_update=False,
                 embedding_transformer=FasttextEmbeddingTransformer(dataset_name[:2]),
                 alignment_property_name=PropertyHelper.word_wer_embeddings_alignment(asr_name)
             )
diff --git a/new_experiment/new_worker.py b/new_experiment/worker_asr.py
similarity index 100%
rename from new_experiment/new_worker.py
rename to new_experiment/worker_asr.py
diff --git a/new_experiment/worker.py b/new_experiment/worker_pipeline.py
similarity index 100%
rename from new_experiment/worker.py
rename to new_experiment/worker_pipeline.py