diff --git a/dvc.lock b/dvc.lock
index 601d3744c8a31c714f04a460fd9541ea7a3cd411..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 100644
--- a/dvc.lock
+++ b/dvc.lock
@@ -1,5044 +0,0 @@
-schema: '2.0'
-stages:
- import_dataset_to_relation_manager@0:
- cmd: PYTHONPATH=. python experiment/pl_luna/import_relation_manager.py
- deps:
- - path: experiment/pl_luna/import_relation_manager.py
- md5: 0b72ccf1aa1107d85def09140e76bdf9
- size: 8284
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- outs:
- - path: experiment_data/dataset_relation_manager_data/pl_luna
- md5: 7c6720b017c9fa82bb1c2264239b3b03.dir
- size: 229007155
- nfiles: 1000
- import_dataset_to_relation_manager@1:
- cmd: PYTHONPATH=. python experiment/pl_minds14/import_relation_manager.py
- deps:
- - path: experiment/pl_minds14/import_relation_manager.py
- md5: d83011855f3f1b2ddec96713c3c41177
- size: 438
- - path: experiment_data/dataset/pl_minds14
- md5: d751713988987e9331980363e24189ce.dir
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- md5: b6838bb00cb83d69ae818d8de96a2f18.dir
- size: 3545062
- nfiles: 1124
- import_dataset_to_relation_manager@2:
- cmd: PYTHONPATH=. python experiment/pl_common_voice/import_relation_manager.py
- deps:
- - path: experiment/pl_common_voice/import_relation_manager.py
- md5: 2d0b47d14088c2c5b61a78ddeeff5293
- size: 547
- - path: experiment_data/dataset/pl_common_voice
- md5: d751713988987e9331980363e24189ce.dir
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- outs:
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- md5: fe73df318524dc33331c62b22a7f5237.dir
- size: 21756677
- nfiles: 16310
- process_gold_transcript@1:
- cmd: PYTHONPATH=. python experiment/pipeline_process_gold_transcript.py --dataset=pl_minds14
- deps:
- - path: experiment/pipeline_process_gold_transcript.py
- md5: baac4f80dcdfcc5a49806eea6eec832a
- size: 1195
- - path: experiment_data/dataset/pl_minds14
- md5: d751713988987e9331980363e24189ce.dir
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- nfiles: 0
- - path: experiment_data/dataset_relation_manager_data/pl_minds14
- md5: b6838bb00cb83d69ae818d8de96a2f18.dir
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- nfiles: 1124
- outs:
- - path: experiment_data/pipeline/pl_minds14/gold_transcript
- md5: 35661dfd20421a6a6068b7194e483eba.dir
- size: 689374
- nfiles: 562
- process_gold_transcript@0:
- cmd: PYTHONPATH=. python experiment/pipeline_process_gold_transcript.py --dataset=pl_luna
- deps:
- - path: experiment/pipeline_process_gold_transcript.py
- md5: baac4f80dcdfcc5a49806eea6eec832a
- size: 1195
- - path: experiment_data/dataset/pl_luna
- md5: d342155b1871e881797cf7da09d5dc3c.dir
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- - path: experiment_data/dataset_relation_manager_data/pl_luna
- md5: 7c6720b017c9fa82bb1c2264239b3b03.dir
- size: 229007155
- nfiles: 1000
- outs:
- - path: experiment_data/pipeline/pl_luna/gold_transcript
- md5: 7e71aa1b181ad75dd08dd7932bc0fc65.dir
- size: 6706925
- nfiles: 500
- process_asr@6:
- cmd: PYTHONPATH=. python experiment/pipeline_process_asr.py --dataset=pl_minds14
- --asr=wav2vec2
- deps:
- - path: experiment/pipeline_process_asr.py
- md5: efe378505897550fe1a8d423c321ef53
- size: 1403
- - path: experiment_data/cached_asr/pl_minds14
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- size: 3821899
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- - path: experiment_data/dataset/pl_minds14
- md5: d751713988987e9331980363e24189ce.dir
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- process_asr@2:
- cmd: PYTHONPATH=. python experiment/pipeline_process_asr.py --dataset=pl_luna
- --asr=wav2vec2
- deps:
- - path: experiment/pipeline_process_asr.py
- md5: efe378505897550fe1a8d423c321ef53
- size: 1403
- - path: experiment_data/cached_asr/pl_luna
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- - path: experiment_data/dataset/pl_luna
- md5: d342155b1871e881797cf7da09d5dc3c.dir
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- - path: experiment_data/dataset_relation_manager_data/pl_luna
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- size: 229007155
- nfiles: 1000
- outs:
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- md5: 80994fc18d2cc2a1fa56fd4436c5378b.dir
- size: 20658485
- nfiles: 456
- process_asr@5:
- cmd: PYTHONPATH=. python experiment/pipeline_process_asr.py --dataset=pl_minds14
- --asr=ajn
- deps:
- - path: experiment/pipeline_process_asr.py
- md5: efe378505897550fe1a8d423c321ef53
- size: 1403
- - path: experiment_data/cached_asr/pl_minds14
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- process_asr@4:
- cmd: PYTHONPATH=. python experiment/pipeline_process_asr.py --dataset=pl_minds14
- --asr=google
- deps:
- - path: experiment/pipeline_process_asr.py
- md5: efe378505897550fe1a8d423c321ef53
- size: 1403
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- outs:
- - path: experiment_data/pipeline/pl_minds14/google__result
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- size: 985004
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- process_asr@0:
- cmd: PYTHONPATH=. python experiment/pipeline_process_asr.py --dataset=pl_luna
- --asr=google
- deps:
- - path: experiment/pipeline_process_asr.py
- md5: efe378505897550fe1a8d423c321ef53
- size: 1403
- - path: experiment_data/cached_asr/pl_luna
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- - path: experiment_data/dataset/pl_luna
- md5: d342155b1871e881797cf7da09d5dc3c.dir
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- - path: experiment_data/dataset_relation_manager_data/pl_luna
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- size: 229007155
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- size: 5346497
- nfiles: 500
- process_asr@1:
- cmd: PYTHONPATH=. python experiment/pipeline_process_asr.py --dataset=pl_luna
- --asr=ajn
- deps:
- - path: experiment/pipeline_process_asr.py
- md5: efe378505897550fe1a8d423c321ef53
- size: 1403
- - path: experiment_data/cached_asr/pl_luna
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- - path: experiment_data/dataset/pl_luna
- md5: d342155b1871e881797cf7da09d5dc3c.dir
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- md5: 7c6720b017c9fa82bb1c2264239b3b03.dir
- size: 229007155
- nfiles: 1000
- outs:
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- md5: bca7f2eae18f606867c9880bd0fe1c8d.dir
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- process_asr@3:
- cmd: PYTHONPATH=. python experiment/pipeline_process_asr.py --dataset=pl_luna
- --asr=techmo
- deps:
- - path: experiment/pipeline_process_asr.py
- md5: efe378505897550fe1a8d423c321ef53
- size: 1403
- - path: experiment_data/cached_asr/pl_luna
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- - path: experiment_data/dataset/pl_luna
- md5: d342155b1871e881797cf7da09d5dc3c.dir
- size: 1578358645
- nfiles: 4500
- - path: experiment_data/dataset_relation_manager_data/pl_luna
- md5: 7c6720b017c9fa82bb1c2264239b3b03.dir
- size: 229007155
- nfiles: 1000
- outs:
- - path: experiment_data/pipeline/pl_luna/techmo__result
- md5: 4c6609ab50706ad45f3919eaf902a75e.dir
- size: 9697519
- nfiles: 500
- process_asr@7:
- cmd: PYTHONPATH=. python experiment/pipeline_process_asr.py --dataset=pl_minds14
- --asr=techmo
- deps:
- - path: experiment/pipeline_process_asr.py
- md5: efe378505897550fe1a8d423c321ef53
- size: 1403
- - path: experiment_data/cached_asr/pl_minds14
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- - path: experiment_data/dataset/pl_minds14
- md5: d751713988987e9331980363e24189ce.dir
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- md5: 13b6f9b23182b9255a802134c47ab4c4.dir
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- save_wave_files__pl_google_fleurs:
- cmd: PYTHONPATH=. python experiment/pl_google_fleurs/save_wav_files.py
- deps:
- - path: experiment/pl_google_fleurs/save_wav_files.py
- md5: 5fd1d6210a9766c35cf11892a9951266
- size: 610
- outs:
- - path: experiment_data/dataset/pl_google_fleurs
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- import_dataset_to_relation_manager@3:
- cmd: PYTHONPATH=. python experiment/pl_vpl_voicelab_cbizoicelab/import_relation_manager.py
- deps:
- - path: experiment/pl_voicelab_cbiz/import_relation_manager.py
- md5: 8b100b393470511b789ee4bc722f12ea
- size: 2026
- - path: experiment_data/dataset/pl_voicelab_cbiz
- md5: 3c2b18e1f1f89e4c5ad7b254e472b25e.dir
- size: 4803739404
- nfiles: 1600
- outs:
- - path: experiment_data/dataset_relation_manager_data/pl_voicelab_cbiz
- md5: 7ef4be9a4eeef095baf7a4cd765610d0.dir
- size: 110711470
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- import_dataset_to_relation_manager@4:
- cmd: PYTHONPATH=. python experiment/pl_google_fleurs/import_relation_manager.py
- deps:
- - path: experiment/pl_google_fleurs/import_relation_manager.py
- md5: f5547b678bb8fe0542eaaf047d1447aa
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- - path: experiment_data/dataset/pl_google_fleurs
- md5: dfcb8cf40b4a1e1a62f9ada00468cca9.dir
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- process_gold_transcript@2:
- cmd: PYTHONPATH=. python experiment/pipeline_process_gold_transcript.py --dataset=pl_common_voice
- deps:
- - path: experiment/pipeline_process_gold_transcript.py
- md5: baac4f80dcdfcc5a49806eea6eec832a
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- process_gold_transcript@3:
- cmd: PYTHONPATH=. python experiment/pipeline_process_gold_transcript.py --dataset=pl_voicelab_cbiz
- deps:
- - path: experiment/pipeline_process_gold_transcript.py
- md5: baac4f80dcdfcc5a49806eea6eec832a
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- process_gold_transcript@4:
- cmd: PYTHONPATH=. python experiment/pipeline_process_gold_transcript.py --dataset=pl_google_fleurs
- deps:
- - path: experiment/pipeline_process_gold_transcript.py
- md5: baac4f80dcdfcc5a49806eea6eec832a
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- process_asr@17:
- cmd: PYTHONPATH=. python experiment/pipeline_process_asr.py --dataset=pl_common_voice
- --asr=wav2vec2
- deps:
- - path: experiment/pipeline_process_asr.py
- md5: efe378505897550fe1a8d423c321ef53
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- process_asr@10:
- cmd: PYTHONPATH=. python experiment/pipeline_process_asr.py --dataset=pl_google_fleurs
- --asr=wav2vec2
- deps:
- - path: experiment/pipeline_process_asr.py
- md5: efe378505897550fe1a8d423c321ef53
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- process_asr@8:
- cmd: PYTHONPATH=. python experiment/pipeline_process_asr.py --dataset=pl_google_fleurs
- --asr=google
- deps:
- - path: experiment/pipeline_process_asr.py
- md5: efe378505897550fe1a8d423c321ef53
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- save_audio_files:
- cmd: PYTHONPATH=. python experiment/dataset_specific/pl_google_fleurs/pipeline_save_wav_files.py
- deps:
- - path: experiment/dataset_specific/pl_google_fleurs/pipeline_save_wav_files.py
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- pipeline_prepare_relation_manager@4:
- cmd: PYTHONPATH=. python experiment/dataset_specific/pl_voicelab_cbiz/import_relation_manager.py
- deps:
- - path: experiment/dataset_specific/pl_voicelab_cbiz/import_relation_manager.py
- md5: ca3760c3f051a00575bf015322575d1a
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- pipeline_prepare_relation_manager@3:
- cmd: PYTHONPATH=. python experiment/dataset_specific/pl_minds14/import_relation_manager.py
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- - path: experiment/dataset_specific/pl_minds14/import_relation_manager.py
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- pipeline_prepare_relation_manager@0:
- cmd: PYTHONPATH=. python experiment/dataset_specific/pl_common_voice/import_relation_manager.py
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- - path: experiment/dataset_specific/pl_common_voice/import_relation_manager.py
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- pipeline_prepare_relation_manager@1:
- cmd: PYTHONPATH=. python experiment/dataset_specific/pl_google_fleurs/import_relation_manager.py
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- - path: experiment/dataset_specific/pl_google_fleurs/import_relation_manager.py
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- pipeline_gold_transcript@0:
- cmd: PYTHONPATH=. python experiment/pipeline_process_gold_transcript.py --dataset=pl_common_voice
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- - path: experiment/pipeline_process_gold_transcript.py
- md5: baac4f80dcdfcc5a49806eea6eec832a
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- cmd: PYTHONPATH=. python experiment/pipeline_process_asr.py --dataset=pl_voicelab_cbiz
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- cmd: PYTHONPATH=. python experiment/pipeline_process_asr.py --dataset=pl_google_fleurs
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- cmd: PYTHONPATH=. python experiment/pipeline_process_asr.py --dataset=pl_luna
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- cmd: PYTHONPATH=. python experiment/pipeline_process_asr.py --dataset=pl_common_voice
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- cmd: PYTHONPATH=. python experiment/pipeline_process_asr.py --dataset=pl_voicelab_cbiz
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- cmd: PYTHONPATH=. python experiment/pipeline_process_asr.py --dataset=pl_google_fleurs
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- cmd: PYTHONPATH=. python experiment/pipeline_process_asr.py --dataset=pl_common_voice
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- cmd: PYTHONPATH=. python experiment/pipeline_process_asr.py --dataset=pl_google_fleurs
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- cmd: PYTHONPATH=. python experiment/pipeline_process_asr.py --dataset=pl_luna
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- cmd: PYTHONPATH=. python experiment/pipeline_process_asr.py --dataset=pl_common_voice
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- cmd: PYTHONPATH=. python experiment/pipeline_process_asr.py --dataset=pl_luna
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- cmd: PYTHONPATH=. python experiment/pipeline_process_asr.py --dataset=pl_google_fleurs
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- cmd: PYTHONPATH=. python experiment/pipeline_process_asr.py --dataset=pl_common_voice
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- cmd: PYTHONPATH=. python experiment/pipeline_process_word_wer.py --dataset=pl_google_fleurs
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- cmd: PYTHONPATH=. python experiment/pipeline_process_word_wer.py --dataset=pl_voicelab_cbiz
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- md5: 98c7d6b43efbe0c2e84b5ad44d01fec9
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- --asr=whisper_tiny
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- md5: 98c7d6b43efbe0c2e84b5ad44d01fec9
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- --asr=techmo
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- - path: experiment/pipeline_process_word_wer.py
- md5: 98c7d6b43efbe0c2e84b5ad44d01fec9
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- cmd: PYTHONPATH=. python experiment/pipeline_process_word_wer.py --dataset=pl_luna
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- md5: 98c7d6b43efbe0c2e84b5ad44d01fec9
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- cmd: PYTHONPATH=. python experiment/pipeline_process_word_wer.py --dataset=pl_common_voice
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- - path: experiment/pipeline_process_word_wer.py
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- cmd: PYTHONPATH=. python experiment/pipeline_process_word_wer.py --dataset=pl_luna
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- - path: experiment/pipeline_process_word_wer.py
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- - path: experiment/pipeline_process_word_wer.py
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- cmd: PYTHONPATH=. python experiment/pipeline_process_word_wer.py --dataset=pl_voicelab_cbiz
- --asr=techmo
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- - path: experiment/pipeline_process_word_wer.py
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- cmd: PYTHONPATH=. python experiment/pipeline_process_word_wer.py --dataset=pl_common_voice
- --asr=techmo
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- - path: experiment/pipeline_process_word_wer.py
- md5: 98c7d6b43efbe0c2e84b5ad44d01fec9
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- - path: experiment/pipeline_process_spacy_pos_wer.py
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- cmd: PYTHONPATH=. python experiment/pipeline_process_spacy_pos_wer.py --dataset=pl_luna
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- cmd: PYTHONPATH=. python experiment/pipeline_process_spacy_pos_wer.py --dataset=pl_voicelab_cbiz
- --asr=ajn
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- cmd: PYTHONPATH=. python experiment/pipeline_process_spacy_pos_wer.py --dataset=pl_common_voice
- --asr=google
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- cmd: PYTHONPATH=. python experiment/pipeline_process_spacy_pos_wer.py --dataset=pl_google_fleurs
- --asr=wav2vec2
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- cmd: PYTHONPATH=. python experiment/pipeline_process_spacy_pos_wer.py --dataset=pl_luna
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- cmd: PYTHONPATH=. python experiment/pipeline_process_spacy_pos_wer.py --dataset=pl_google_fleurs
- --asr=whisper_tiny
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- cmd: PYTHONPATH=. python experiment/pipeline_process_spacy_pos_wer.py --dataset=pl_minds14
- --asr=google
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- cmd: PYTHONPATH=. python experiment/pipeline_process_spacy_pos_wer.py --dataset=pl_common_voice
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- cmd: PYTHONPATH=. python experiment/pipeline_process_spacy_pos_wer.py --dataset=pl_voicelab_cbiz
- --asr=techmo
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- cmd: PYTHONPATH=. python experiment/pipeline_process_spacy_pos_wer.py --dataset=pl_google_fleurs
- --asr=techmo
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- - path: experiment/pipeline_process_spacy_pos_wer.py
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- cmd: PYTHONPATH=. python experiment/pipeline_process_spacy_pos_wer.py --dataset=pl_luna
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- cmd: PYTHONPATH=. python experiment/pipeline_process_spacy_pos_wer.py --dataset=pl_voicelab_cbiz
- --asr=google
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- cmd: PYTHONPATH=. python experiment/pipeline_process_spacy_pos_wer.py --dataset=pl_google_fleurs
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- cmd: PYTHONPATH=. python experiment/pipeline_process_wikineural_ner.py --dataset=pl_google_fleurs
- --asr=wav2vec2
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- cmd: PYTHONPATH=. python experiment/pipeline_process_wikineural_ner.py --dataset=pl_google_fleurs
- --asr=google
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- cmd: PYTHONPATH=. python experiment/pipeline_process_wikineural_ner.py --dataset=pl_luna
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- cmd: PYTHONPATH=. python experiment/pipeline_process_wikineural_ner.py --dataset=pl_common_voice
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- cmd: PYTHONPATH=. python experiment/pipeline_process_flair_upos.py --dataset=pl_common_voice
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- cmd: PYTHONPATH=. python experiment/pipeline_process_wikineural_ner.py --dataset=pl_luna
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- cmd: PYTHONPATH=. python experiment/pipeline_process_flair_upos.py --dataset=pl_google_fleurs
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- cmd: PYTHONPATH=. python experiment/pipeline_process_wikineural_ner.py --dataset=pl_google_fleurs
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- cmd: PYTHONPATH=. python experiment/pipeline_process_wikineural_ner.py --dataset=pl_common_voice
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- cmd: PYTHONPATH=. python experiment/pipeline_process_flair_upos.py --dataset=pl_google_fleurs
- --asr=wav2vec2
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- cmd: PYTHONPATH=. python experiment/pipeline_process_wikineural_ner.py --dataset=pl_common_voice
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- cmd: PYTHONPATH=. python experiment/pipeline_process_flair_upos.py --dataset=pl_google_fleurs
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- cmd: PYTHONPATH=. python experiment/pipeline_process_wikineural_ner.py --dataset=pl_google_fleurs
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- cmd: PYTHONPATH=. python experiment/pipeline_process_flair_upos.py --dataset=pl_luna
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- cmd: PYTHONPATH=. python experiment/pipeline_process_wikineural_ner.py --dataset=pl_common_voice
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- cmd: PYTHONPATH=. python experiment/pipeline_process_spacy_ner_wer.py --dataset=pl_google_fleurs
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- cmd: PYTHONPATH=. python experiment/pipeline_process_flair_upos.py --dataset=pl_voicelab_cbiz
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- cmd: PYTHONPATH=. python experiment/pipeline_process_spacy_pos_wer.py --dataset=pl_common_voice
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- cmd: PYTHONPATH=. python experiment/pipeline_process_flair_upos.py --dataset=pl_common_voice
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- cmd: PYTHONPATH=. python experiment/pipeline_process_flair_upos.py --dataset=pl_voicelab_cbiz
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- cmd: PYTHONPATH=. python experiment/pipeline_process_wikineural_ner.py --dataset=pl_voicelab_cbiz
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- cmd: PYTHONPATH=. python experiment/pipeline_process_flair_upos.py --dataset=pl_google_fleurs
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- cmd: PYTHONPATH=. python experiment/pipeline_process_spacy_ner_wer.py --dataset=pl_luna
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- cmd: PYTHONPATH=. python experiment/pipeline_process_flair_upos.py --dataset=pl_google_fleurs
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- cmd: PYTHONPATH=. python experiment/pipeline_process_flair_upos.py --dataset=pl_common_voice
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- cmd: PYTHONPATH=. python experiment/pipeline_process_wikineural_ner.py --dataset=pl_luna
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- cmd: PYTHONPATH=. python experiment/pipeline_process_flair_upos.py --dataset=pl_luna
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- cmd: PYTHONPATH=. python experiment/pipeline_process_wikineural_ner.py --dataset=pl_luna
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- cmd: PYTHONPATH=. python experiment/pipeline_process_flair_upos.py --dataset=pl_luna
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- cmd: PYTHONPATH=. python experiment/pipeline_process_spacy_dep_tag_wer.py --dataset=pl_minds14
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- cmd: PYTHONPATH=. python experiment/pipeline_process_spacy_dep_tag_wer.py --dataset=pl_minds14
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- cmd: PYTHONPATH=. python experiment/pipeline_process_spacy_dep_tag_wer.py --dataset=pl_minds14
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- cmd: PYTHONPATH=. python experiment/pipeline_process_spacy_dep_tag_wer.py --dataset=pl_luna
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- cmd: PYTHONPATH=. python experiment/pipeline_process_spacy_dep_tag_wer.py --dataset=pl_minds14
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- cmd: PYTHONPATH=. python experiment/pipeline_process_spacy_dep_tag_wer.py --dataset=pl_google_fleurs
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- cmd: PYTHONPATH=. python experiment/pipeline_process_spacy_dep_tag_wer.py --dataset=pl_common_voice
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- pipeline_spacy_pos_wer@19:
- cmd: PYTHONPATH=. python experiment/pipeline_process_spacy_pos_wer.py --dataset=pl_minds14
- --asr=techmo
- deps:
- - path: experiment/pipeline_process_spacy_pos_wer.py
- md5: 3817c96d1d91d2cf2d8ec7fe570f1472
- size: 1469
- - path: experiment_data/dataset/pl_minds14
- md5: d751713988987e9331980363e24189ce.dir
- size: 0
- nfiles: 0
- - path: experiment_data/pipeline/pl_minds14/gold_transcript
- md5: d4da8b3a8c5f044af1403d70d8f60fcf.dir
- size: 689374
- nfiles: 562
- - path: experiment_data/pipeline/pl_minds14/techmo__result
- md5: 4c43636b4773f2bf9a2153ef3393a558.dir
- size: 1336305
- nfiles: 562
- outs:
- - path: experiment_data/pipeline/pl_minds14/techmo__spacy_pos_alignment
- md5: c1b9ede77bb9061f1c0507147029efee.dir
- size: 2640298
- nfiles: 562
- - path: experiment_data/pipeline/pl_minds14/techmo__spacy_pos_metrics
- md5: 3e56923bc3b678ee5263e5c8436da9ca.dir
- size: 6118
- nfiles: 562
- pipeline_word_wer@21:
- cmd: PYTHONPATH=. python experiment/pipeline_process_word_wer.py --dataset=pl_minds14
- --asr=wav2vec2
- deps:
- - path: experiment/pipeline_process_word_wer.py
- md5: 98c7d6b43efbe0c2e84b5ad44d01fec9
- size: 2125
- - path: experiment_data/dataset/pl_minds14
- md5: d751713988987e9331980363e24189ce.dir
- size: 0
- nfiles: 0
- - path: experiment_data/pipeline/pl_minds14/gold_transcript
- md5: d4da8b3a8c5f044af1403d70d8f60fcf.dir
- size: 689374
- nfiles: 562
- - path: experiment_data/pipeline/pl_minds14/wav2vec2__result
- md5: 5658da01ecdce39ed99156bbc7f2dc62.dir
- size: 3523907
- nfiles: 562
- outs:
- - path: experiment_data/pipeline/pl_minds14/wav2vec2__word_wer_classic_alignment
- md5: 171d4dddb9fd5b96479c62fa86ccfe57.dir
- size: 2811807
- nfiles: 562
- - path: experiment_data/pipeline/pl_minds14/wav2vec2__word_wer_classic_metrics
- md5: a3477ae81fcba4a8e21b044f279425bb.dir
- size: 17073
- nfiles: 562
- - path: experiment_data/pipeline/pl_minds14/wav2vec2__word_wer_embeddings_alignment
- md5: d5b7c18b6537344d7e0113ac8a8d9c28.dir
- size: 5684553
- nfiles: 562
- - path: experiment_data/pipeline/pl_minds14/wav2vec2__word_wer_embeddings_metrics
- md5: 64afcfdbe04279ed8dd3cc2b25e77093.dir
- size: 37859
- nfiles: 562
diff --git a/experiment/dataset_helper.py b/experiment/dataset_helper.py
index 964c4b8c3ab33c301a9eafd0aa341e3723d30e09..c245b76cd09eefa3328e53c280bd65639ad1119e 100644
--- a/experiment/dataset_helper.py
+++ b/experiment/dataset_helper.py
@@ -5,5 +5,5 @@ from sziszapangma.integration.record_path_provider import RecordPathProvider
from sziszapangma.integration.relation_manager_provider import RelationManagerProvider
-class DatasetHelper(RecordIdIterator, RecordPathProvider, RelationManagerProvider, ABC):
+class DatasetHelper(RecordIdIterator, RecordPathProvider, ABC):
pass
diff --git a/new_datasets/import_datasets/upload_audio.py b/new_datasets/import_datasets/upload_audio.py
index 3eb99bc7ffe54478b8b543f95f4df60e2f35acf3..51db0205292f2f3c9f496f244dfd1957ea7791ee 100644
--- a/new_datasets/import_datasets/upload_audio.py
+++ b/new_datasets/import_datasets/upload_audio.py
@@ -8,6 +8,7 @@ from hashlib import sha1
_TEMP_WAV_FILE = '_temp_file.wav'
+
def process_numpy_array_to_md5_hash(array: np.ndarray) -> str:
return sha1(array).hexdigest()
diff --git a/new_experiment/new_dependency_provider.py b/new_experiment/new_dependency_provider.py
new file mode 100644
index 0000000000000000000000000000000000000000..3ec1412d13307e452e576970112831ba805b45f3
--- /dev/null
+++ b/new_experiment/new_dependency_provider.py
@@ -0,0 +1,22 @@
+from minio import Minio
+from pymongo import MongoClient
+
+from new_experiment.utils.minio_audio_record_repository import MinioAudioRecordRepository
+from sziszapangma.integration.repository.experiment_repository import ExperimentRepository
+from sziszapangma.integration.repository.mongo_experiment_repository import MongoExperimentRepository
+
+
+def get_minio_client() -> Minio:
+ return Minio('minio-asr-benchmarks.theliver.pl', 'minio_user', 'eUxzEQbyYPdzrLxuvvethSbk18kB2s7G')
+
+
+def get_mongo_client() -> MongoClient:
+ return MongoClient('mongodb://root:example@mongo-asr-benchmarks.theliver.pl:27021/', ssl=True)
+
+
+def get_experiment_repository(dataset_name: str) -> ExperimentRepository:
+ return MongoExperimentRepository(mongo_client=get_mongo_client(), database_name=dataset_name)
+
+
+def get_minio_audio_record_repository() -> MinioAudioRecordRepository:
+ return MinioAudioRecordRepository(get_minio_client(), 'dataset-audio')
diff --git a/new_experiment/pipeline/dataset_importer/__init__.py b/new_experiment/pipeline/dataset_importer/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/new_experiment/pipeline/dataset_importer/fleurs_dataset_importer.py b/new_experiment/pipeline/dataset_importer/fleurs_dataset_importer.py
new file mode 100644
index 0000000000000000000000000000000000000000..9b88c89112b4eef3fb620dbda4d34979a79ef133
--- /dev/null
+++ b/new_experiment/pipeline/dataset_importer/fleurs_dataset_importer.py
@@ -0,0 +1,30 @@
+from pathlib import Path
+from typing import Dict, Any, List
+
+from minio import Minio
+from nltk import RegexpTokenizer
+
+from new_datasets.import_datasets.upload_audio import process_numpy_array_to_md5_hash
+from new_experiment.utils.hf_dataset_importer import HfDatasetImporter
+from new_experiment.utils.minio_audio_record_repository import MinioAudioRecordRepository
+from sziszapangma.integration.repository.experiment_repository import ExperimentRepository
+
+
+class FleursDatasetImporter(HfDatasetImporter):
+
+ def __init__(self, experiment_repository: ExperimentRepository,
+ minio_audio_record_repository: MinioAudioRecordRepository, dataset_name: str):
+ super().__init__(experiment_repository, minio_audio_record_repository, dataset_name)
+
+ def get_words(self, record: Dict[str, Any]) -> List[str]:
+ tokenizer = RegexpTokenizer(r'\w+')
+ return tokenizer.tokenize(record['transcription'])
+
+ def get_raw_transcription(self, record: Dict[str, Any]) -> str:
+ return record['transcription']
+
+ def get_audio_file(self, record: Dict[str, Any]) -> Path:
+ return record['path']
+
+ def get_record_id(self, record: Dict[str, Any]) -> str:
+ return record["id"]
diff --git a/new_experiment/pipeline/dataset_importer/minds14_dataset_importer.py b/new_experiment/pipeline/dataset_importer/minds14_dataset_importer.py
new file mode 100644
index 0000000000000000000000000000000000000000..b8e8e5e8b7252c9247dcffd6fe09939752a5391c
--- /dev/null
+++ b/new_experiment/pipeline/dataset_importer/minds14_dataset_importer.py
@@ -0,0 +1,30 @@
+from pathlib import Path
+from typing import Dict, Any, List
+
+from minio import Minio
+from nltk import RegexpTokenizer
+
+from new_datasets.import_datasets.upload_audio import process_numpy_array_to_md5_hash
+from new_experiment.utils.hf_dataset_importer import HfDatasetImporter
+from new_experiment.utils.minio_audio_record_repository import MinioAudioRecordRepository
+from sziszapangma.integration.repository.experiment_repository import ExperimentRepository
+
+
+class Minds14DatasetImporter(HfDatasetImporter):
+
+ def __init__(self, experiment_repository: ExperimentRepository,
+ minio_audio_record_repository: MinioAudioRecordRepository, dataset_name: str):
+ super().__init__(experiment_repository, minio_audio_record_repository, dataset_name)
+
+ def get_words(self, record: Dict[str, Any]) -> List[str]:
+ tokenizer = RegexpTokenizer(r'\w+')
+ return tokenizer.tokenize(record['transcription'])
+
+ def get_raw_transcription(self, record: Dict[str, Any]) -> str:
+ return record['transcription']
+
+ def get_audio_file(self, record: Dict[str, Any]) -> Path:
+ return record['path']
+
+ def get_record_id(self, record: Dict[str, Any]) -> str:
+ return process_numpy_array_to_md5_hash(record['audio']['array'])
diff --git a/new_experiment/pipeline/dataset_importer/voxpopuli_dataset_importer.py b/new_experiment/pipeline/dataset_importer/voxpopuli_dataset_importer.py
new file mode 100644
index 0000000000000000000000000000000000000000..d89ec959205c1a66169bfb29bbfd79b119adcfab
--- /dev/null
+++ b/new_experiment/pipeline/dataset_importer/voxpopuli_dataset_importer.py
@@ -0,0 +1,30 @@
+from pathlib import Path
+from typing import Dict, Any, List
+
+from minio import Minio
+from nltk import RegexpTokenizer
+
+from new_datasets.import_datasets.upload_audio import process_numpy_array_to_md5_hash
+from new_experiment.utils.hf_dataset_importer import HfDatasetImporter
+from new_experiment.utils.minio_audio_record_repository import MinioAudioRecordRepository
+from sziszapangma.integration.repository.experiment_repository import ExperimentRepository
+
+
+class VoxpopuliDatasetImporter(HfDatasetImporter):
+
+ def __init__(self, experiment_repository: ExperimentRepository,
+ minio_audio_record_repository: MinioAudioRecordRepository, dataset_name: str):
+ super().__init__(experiment_repository, minio_audio_record_repository, dataset_name)
+
+ def get_words(self, record: Dict[str, Any]) -> List[str]:
+ tokenizer = RegexpTokenizer(r'\w+')
+ return tokenizer.tokenize(record['normalized_text'])
+
+ def get_raw_transcription(self, record: Dict[str, Any]) -> str:
+ return record['raw_text']
+
+ def get_audio_file(self, record: Dict[str, Any]) -> Path:
+ return record['audio']['path']
+
+ def get_record_id(self, record: Dict[str, Any]) -> str:
+ return process_numpy_array_to_md5_hash(record['audio']['array'])
diff --git a/new_experiment/pipeline/import_datasets.py b/new_experiment/pipeline/import_datasets.py
new file mode 100644
index 0000000000000000000000000000000000000000..1633088b377f28039d65dd65635580fac6ca23e2
--- /dev/null
+++ b/new_experiment/pipeline/import_datasets.py
@@ -0,0 +1,35 @@
+from datasets import Dataset, load_dataset
+
+from new_experiment.new_dependency_provider import get_experiment_repository, get_minio_client, \
+ get_minio_audio_record_repository
+from new_experiment.pipeline.dataset_importer.fleurs_dataset_importer import FleursDatasetImporter
+from new_experiment.pipeline.dataset_importer.minds14_dataset_importer import Minds14DatasetImporter
+from new_experiment.utils.hf_dataset_importer import HfDatasetImporter
+
+
+def import_single_dataset(importer: HfDatasetImporter, dataset: Dataset):
+ importer.process_dataset(dataset)
+
+
+def import_fleurs_dataset(dataset_lang: str, experiment_dataset_name: str):
+ import_single_dataset(FleursDatasetImporter(
+ get_experiment_repository(experiment_dataset_name),
+ get_minio_audio_record_repository(),
+ experiment_dataset_name,
+ ), load_dataset('google/fleurs', dataset_lang))
+
+
+def import_minds14_dataset(dataset_lang: str, experiment_dataset_name: str):
+ import_single_dataset(Minds14DatasetImporter(
+ get_experiment_repository(experiment_dataset_name),
+ get_minio_audio_record_repository(),
+ experiment_dataset_name,
+ ), load_dataset('PolyAI/minds14', dataset_lang))
+
+
+def import_voxpopuli_dataset(dataset_lang: str, experiment_dataset_name: str):
+ import_single_dataset(Minds14DatasetImporter(
+ get_experiment_repository(experiment_dataset_name),
+ get_minio_audio_record_repository(),
+ experiment_dataset_name,
+ ), load_dataset('facebook/voxpopuli', dataset_lang))
diff --git a/new_experiment/pipeline/import_fleurs.py b/new_experiment/pipeline/import_fleurs.py
new file mode 100644
index 0000000000000000000000000000000000000000..f08197d50132213a8e23b313b04893bb0dae0b81
--- /dev/null
+++ b/new_experiment/pipeline/import_fleurs.py
@@ -0,0 +1,10 @@
+from new_experiment.pipeline.import_datasets import import_fleurs_dataset
+
+if __name__ == '__main__':
+ import_fleurs_dataset('nl_nl', 'nl_google_fleurs')
+ import_fleurs_dataset('fr_fr', 'fr_google_fleurs')
+ import_fleurs_dataset('de_de', 'de_google_fleurs')
+ import_fleurs_dataset('it_it', 'it_google_fleurs')
+ import_fleurs_dataset('pl_pl', 'pl_google_fleurs')
+ import_fleurs_dataset('es_419', 'es_google_fleurs')
+ import_fleurs_dataset('en_us', 'en_google_fleurs')
diff --git a/new_experiment/utils/hf_dataset_importer.py b/new_experiment/utils/hf_dataset_importer.py
new file mode 100644
index 0000000000000000000000000000000000000000..94db715eb3901c722c83583b7fbf77856247d998
--- /dev/null
+++ b/new_experiment/utils/hf_dataset_importer.py
@@ -0,0 +1,63 @@
+from abc import ABC, abstractmethod
+from hashlib import sha1
+from pathlib import Path
+from typing import List, Any, Dict
+
+import numpy as np
+from datasets import Dataset
+from minio import Minio
+
+from new_experiment.utils.minio_audio_record_repository import MinioAudioRecordRepository
+from new_experiment.utils.property_helper import PropertyHelper
+from sziszapangma.integration.repository.experiment_repository import ExperimentRepository
+from sziszapangma.model.model_creators import create_new_word
+
+
+class HfDatasetImporter(ABC):
+ _experiment_repository: ExperimentRepository
+ _minio_audio_record_repository: MinioAudioRecordRepository
+ _experiment_dataset_name: str
+
+ def __init__(self, experiment_repository: ExperimentRepository,
+ minio_audio_record_repository: MinioAudioRecordRepository, experiment_dataset_name: str):
+ self._experiment_repository = experiment_repository
+ self._minio_audio_record_repository = minio_audio_record_repository
+ self._experiment_dataset_name = experiment_dataset_name
+
+ @abstractmethod
+ def get_words(self, record: Dict[str, Any]) -> List[str]:
+ pass
+
+ @abstractmethod
+ def get_raw_transcription(self, record: Dict[str, Any]) -> str:
+ pass
+
+ @abstractmethod
+ def get_audio_file(self, record: Dict[str, Any]) -> Path:
+ pass
+
+ @abstractmethod
+ def get_record_id(self, record: Dict[str, Any]) -> str:
+ pass
+
+ def process_dataset(self, dataset: Dataset):
+ for it in dataset:
+ self.process_record(it)
+
+ def process_record(self, record: Dict[str, Any]):
+ record_id = self.get_record_id(record)
+ words = [create_new_word(it) for it in self.get_words(record)]
+ raw_transcription = self.get_raw_transcription(record)
+ audio_file_path = self.get_audio_file(record)
+ self._experiment_repository.update_property_for_key(
+ record_id=record_id,
+ property_name=PropertyHelper.get_gold_transcript_words(),
+ property_value=words
+ )
+ self._experiment_repository.update_property_for_key(
+ record_id=record_id,
+ property_name=PropertyHelper.get_gold_transcript_raw(),
+ property_value={'gold_transcript_raw': raw_transcription}
+ )
+ # TODO uncomment
+ # self._minio_audio_record_repository.save_file(audio_file_path, self._experiment_dataset_name, record_id)
diff --git a/new_experiment/utils/id_calculator.py b/new_experiment/utils/id_calculator.py
new file mode 100644
index 0000000000000000000000000000000000000000..15419d1850cc9ae323e3bf1854504f2bb37951a4
--- /dev/null
+++ b/new_experiment/utils/id_calculator.py
@@ -0,0 +1,7 @@
+from hashlib import sha1
+
+import numpy as np
+
+
+def process_numpy_array_to_md5_hash(array: np.ndarray) -> str:
+ return sha1(array).hexdigest()
diff --git a/new_experiment/utils/loaded_remote_dataset_helper.py b/new_experiment/utils/loaded_remote_dataset_helper.py
new file mode 100644
index 0000000000000000000000000000000000000000..78dc8bf3a6d7a8ef0d2a5c3abd4317e000d950de
--- /dev/null
+++ b/new_experiment/utils/loaded_remote_dataset_helper.py
@@ -0,0 +1,32 @@
+from pathlib import Path
+from typing import Set
+
+from minio import Minio
+from urllib3 import HTTPResponse
+
+from experiment.dataset_helper import DatasetHelper
+from new_experiment.utils.minio_audio_record_repository import MinioRecordRepository
+from new_experiment.utils.property_helper import PropertyHelper
+from sziszapangma.integration.repository.experiment_repository import ExperimentRepository
+
+
+class LoadedRemoteDatasetHelper(DatasetHelper):
+ _experiment_repository: ExperimentRepository
+ _minio_record_repository: MinioRecordRepository
+ _dataset_name: str
+
+ def __init__(self, experiment_repository: ExperimentRepository, minio_record_repository: MinioRecordRepository,
+ dataset_name: str):
+ self._experiment_repository = experiment_repository
+ self._minio_record_repository = minio_record_repository
+ self._dataset_name = dataset_name
+
+ def get_all_records(self) -> Set[str]:
+ return self._experiment_repository.get_all_record_ids_for_property(PropertyHelper.get_gold_transcript_words())
+
+ def get_path(self, record_id: str) -> str:
+ record_path = Path.home() / f'.cache/asr_benchmark/{self._dataset_name}/{record_id}.wav'
+ if record_path.exists():
+ return record_path.as_posix()
+ self._minio_record_repository.save_file(record_path, self._dataset_name, record_id)
+ return record_path.as_posix()
diff --git a/new_experiment/utils/minio_audio_record_repository.py b/new_experiment/utils/minio_audio_record_repository.py
new file mode 100644
index 0000000000000000000000000000000000000000..0c699c8f5c71566988b05312ae798d7eaca30866
--- /dev/null
+++ b/new_experiment/utils/minio_audio_record_repository.py
@@ -0,0 +1,28 @@
+from pathlib import Path
+
+from minio import Minio
+from urllib3 import HTTPResponse
+
+
+class MinioAudioRecordRepository:
+ _minio: Minio
+ _bucket: str
+
+ def __init__(self, minio: Minio, bucket: str):
+ self._minio = minio
+ self._bucket = bucket
+
+ @staticmethod
+ def _get_record_path(dataset_name: str, record_id: str) -> str:
+ return f'{dataset_name}/{record_id}.wav'
+
+ def save_file(self, local_path: Path, dataset_name: str, record_id: str):
+ self._minio.put_object(self._bucket, self._get_record_path(dataset_name, record_id), open(local_path, 'rb'),
+ len(open(local_path, 'rb').read()))
+
+ def load_file(self, local_path: Path, dataset_name: str, record_id: str):
+ record_response: HTTPResponse = self._minio.get_object(self._bucket,
+ self._get_record_path(dataset_name, record_id))
+ local_path.parent.mkdir(parents=True, exist_ok=True)
+ with open(local_path, 'wb') as writer:
+ writer.write(record_response.data)
diff --git a/new_experiment/utils/property_helper.py b/new_experiment/utils/property_helper.py
index 7cff60d3bc95a8573d9cab7c90db508db89a8f7d..f00ebe88c470938b03b0dc4303cc5a6fd21ae0b5 100644
--- a/new_experiment/utils/property_helper.py
+++ b/new_experiment/utils/property_helper.py
@@ -1,8 +1,8 @@
class PropertyHelper:
@staticmethod
- def get_gold_transcript() -> str:
- return 'gold_transcript'
+ def get_gold_transcript_words() -> str:
+ return 'gold_transcript_words'
@staticmethod
def get_gold_transcript_raw() -> str:
diff --git a/poetry.lock b/poetry.lock
index bd253e19184751c7f9a76128a90ad8d515dd637d..236cdabaa77f7ef4bd318a8011bb4a3b8c9c3fdd 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -738,14 +738,14 @@ test = ["flake8 (==3.7.8)", "hypothesis (==3.55.3)"]
[[package]]
name = "confection"
-version = "0.0.3"
+version = "0.0.4"
description = "The sweetest config system for Python"
category = "main"
optional = false
python-versions = ">=3.6"
files = [
- {file = "confection-0.0.3-py3-none-any.whl", hash = "sha256:51af839c1240430421da2b248541ebc95f9d0ee385bcafa768b8acdbd2b0111d"},
- {file = "confection-0.0.3.tar.gz", hash = "sha256:4fec47190057c43c9acbecb8b1b87a9bf31c469caa0d6888a5b9384432fdba5a"},
+ {file = "confection-0.0.4-py3-none-any.whl", hash = "sha256:aeac5919ba770c7b281aa5863bb6b0efed42568a7ad8ea26b6cb632154503fb2"},
+ {file = "confection-0.0.4.tar.gz", hash = "sha256:b1ddf5885da635f0e260a40b339730806dfb1bd17d30e08764f35af841b04ecf"},
]
[package.dependencies]
@@ -1113,14 +1113,14 @@ wmi = ["wmi (>=1.5.1,<2.0.0)"]
[[package]]
name = "dpath"
-version = "2.1.3"
+version = "2.1.4"
description = "Filesystem-like pathing and searching for dictionaries"
category = "main"
optional = false
python-versions = ">=3.7"
files = [
- {file = "dpath-2.1.3-py3-none-any.whl", hash = "sha256:d9560e03ccd83b3c6f29988b0162ce9b34fd28b9d8dbda46663b20c68d9cdae3"},
- {file = "dpath-2.1.3.tar.gz", hash = "sha256:d1a7a0e6427d0a4156c792c82caf1f0109603f68ace792e36ca4596fd2cb8d9d"},
+ {file = "dpath-2.1.4-py3-none-any.whl", hash = "sha256:3a4f6cc07e3a1b34bc73baa3a6854ee0a48fb2cf18a8c9b1911b66fd72afaa85"},
+ {file = "dpath-2.1.4.tar.gz", hash = "sha256:3380a77d0db4abf104125860ff6eb4bd07c97c65b81aad42a609717089a1bed0"},
]
[[package]]
@@ -1207,14 +1207,14 @@ pgp = ["gpg"]
[[package]]
name = "dvc"
-version = "2.39.0"
+version = "2.41.1"
description = "Git for data scientists - manage your code and data together"
category = "main"
optional = false
python-versions = ">=3.8"
files = [
- {file = "dvc-2.39.0-py3-none-any.whl", hash = "sha256:e0765516c85efac36148804c01fadaf19f4b3a862675499814a96a127a2fa9c1"},
- {file = "dvc-2.39.0.tar.gz", hash = "sha256:efb00f96b296446c951107d4d82a2fb0b5be4c457d3c9f2d285fbcbf1f7be266"},
+ {file = "dvc-2.41.1-py3-none-any.whl", hash = "sha256:a3fafd63c3e9bedd278add480d62be38b7f51db891e14e37d754c986c6bc284d"},
+ {file = "dvc-2.41.1.tar.gz", hash = "sha256:d875358ce2463b0b93de1e4a91ee8ca960793b96462048e72f40d3168ae5e97c"},
]
[package.dependencies]
@@ -1223,7 +1223,7 @@ colorama = ">=0.3.9"
configobj = ">=5.0.6"
distro = ">=1.3.0"
dpath = ">=2.0.2,<3"
-dvc-data = "0.28.5"
+dvc-data = "0.29.0"
dvc-http = "*"
dvc-render = "0.0.17"
dvc-s3 = {version = "2.21.0", optional = true, markers = "extra == \"s3\""}
@@ -1270,28 +1270,28 @@ ssh = ["dvc-ssh (==2.20.0)"]
ssh-gssapi = ["dvc-ssh[gssapi] (==2.20.0)"]
terraform = ["tpi[ssh] (>=2.1.0)"]
testing = ["pytest-test-utils (==0.0.8)"]
-tests = ["beautifulsoup4 (==4.11.1)", "dvc-ssh (==2.20.0)", "filelock (==3.9.0)", "flaky (==3.7.0)", "mypy (==0.991)", "pylint (==2.15.9)", "pylint-plugin-utils (==0.7)", "pylint-pytest (==1.1.2)", "pytest (==7.2.0)", "pytest-cov (==4.0.0)", "pytest-docker (==0.11.0)", "pytest-lazy-fixture (==0.6.3)", "pytest-mock (==3.10.0)", "pytest-test-utils (==0.0.8)", "pytest-timeout (==2.1.0)", "pytest-xdist (==3.1.0)", "pywin32 (>=225)", "tpi[ssh] (>=2.1.0)", "types-requests", "types-tabulate", "types-toml"]
+tests = ["beautifulsoup4 (==4.11.1)", "dvc-ssh (==2.20.0)", "filelock (==3.9.0)", "flaky (==3.7.0)", "mypy (==0.991)", "pylint (==2.15.10)", "pylint-plugin-utils (==0.7)", "pylint-pytest (==1.1.2)", "pytest (==7.2.0)", "pytest-cov (==4.0.0)", "pytest-docker (==0.11.0)", "pytest-lazy-fixture (==0.6.3)", "pytest-mock (==3.10.0)", "pytest-test-utils (==0.0.8)", "pytest-timeout (==2.1.0)", "pytest-xdist (==3.1.0)", "pywin32 (>=225)", "tpi[ssh] (>=2.1.0)", "types-requests", "types-tabulate", "types-toml"]
webdav = ["dvc-webdav (==2.19.0)"]
webhdfs = ["dvc-webhdfs (==2.19.0)"]
webhdfs-kerberos = ["dvc-webhdfs[kerberos] (==2.19.0)"]
[[package]]
name = "dvc-data"
-version = "0.28.5"
+version = "0.29.0"
description = "dvc data"
category = "main"
optional = false
python-versions = ">=3.8"
files = [
- {file = "dvc-data-0.28.5.tar.gz", hash = "sha256:cf6ae7a7d9220fcd223504427829ef7e9b6088e94b83e7d2882a9846eafb85cb"},
- {file = "dvc_data-0.28.5-py3-none-any.whl", hash = "sha256:dc5fc5e4d20e20f595a5b84bf1b623652e3d65804f37cb6c937a75e4fc1c0bad"},
+ {file = "dvc-data-0.29.0.tar.gz", hash = "sha256:3385054422b66738948690d96944bc547f2f26edfa5776bc0c0a4f9f64a8cc42"},
+ {file = "dvc_data-0.29.0-py3-none-any.whl", hash = "sha256:004ee9c20971e17c26dbf0ef59ce38dde1c03612e55d81a91b1331ff71774bb5"},
]
[package.dependencies]
attrs = ">=21.3.0"
dictdiffer = ">=0.8.1"
diskcache = ">=5.2.1"
-dvc-objects = "0.14.0"
+dvc-objects = "0.14.1"
funcy = ">=1.14"
nanotime = ">=0.5.2"
pygtrie = ">=2.3.2"
@@ -1325,14 +1325,14 @@ tests = ["dvc[testing]", "flaky (==3.7.0)", "mypy (==0.910)", "pylint (==2.15.9)
[[package]]
name = "dvc-objects"
-version = "0.14.0"
+version = "0.14.1"
description = "dvc objects"
category = "main"
optional = false
python-versions = ">=3.8"
files = [
- {file = "dvc-objects-0.14.0.tar.gz", hash = "sha256:039b7be98f4c8325bd90e2869072e3a776bf8e27419723b459704d7cd984e11f"},
- {file = "dvc_objects-0.14.0-py3-none-any.whl", hash = "sha256:8767ab7df049dbd41ed318bdc402976073c51b0d0c95aaa48dd13d337572fcc2"},
+ {file = "dvc-objects-0.14.1.tar.gz", hash = "sha256:181ad4eadaee592cd37a5027b2c8b4727ca00aba7ae60e8417075dd4e5ef0d42"},
+ {file = "dvc_objects-0.14.1-py3-none-any.whl", hash = "sha256:36587b4a0e1eec1778998070fd804cd5feac33b03fe7f8bbcb191110631977ec"},
]
[package.dependencies]
@@ -2757,6 +2757,7 @@ packaging = ">=20.0"
pillow = ">=6.2.0"
pyparsing = ">=2.2.1"
python-dateutil = ">=2.7"
+setuptools_scm = ">=7"
[[package]]
name = "miniful"
@@ -3256,14 +3257,14 @@ files = [
[[package]]
name = "packaging"
-version = "22.0"
+version = "23.0"
description = "Core utilities for Python packages"
category = "main"
optional = false
python-versions = ">=3.7"
files = [
- {file = "packaging-22.0-py3-none-any.whl", hash = "sha256:957e2148ba0e1a3b282772e791ef1d8083648bc131c8ab0c1feba110ce1146c3"},
- {file = "packaging-22.0.tar.gz", hash = "sha256:2198ec20bd4c017b8f9717e00f0c8714076fc2fd93816750ab48e2c41de2cfd3"},
+ {file = "packaging-23.0-py3-none-any.whl", hash = "sha256:714ac14496c3e68c99c29b00845f7a2b85f3bb6f1078fd9f72fd20f0570002b2"},
+ {file = "packaging-23.0.tar.gz", hash = "sha256:b6ad297f8907de0fa2fe1ccbd26fdaf387f5f47c7275fedf8cce89f99446cf97"},
]
[[package]]
@@ -4393,7 +4394,6 @@ files = [
{file = "ruamel.yaml.clib-0.2.7-cp310-cp310-win_amd64.whl", hash = "sha256:d000f258cf42fec2b1bbf2863c61d7b8918d31ffee905da62dede869254d3b8a"},
{file = "ruamel.yaml.clib-0.2.7-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:045e0626baf1c52e5527bd5db361bc83180faaba2ff586e763d3d5982a876a9e"},
{file = "ruamel.yaml.clib-0.2.7-cp311-cp311-macosx_12_6_arm64.whl", hash = "sha256:721bc4ba4525f53f6a611ec0967bdcee61b31df5a56801281027a3a6d1c2daf5"},
- {file = "ruamel.yaml.clib-0.2.7-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl", hash = "sha256:41d0f1fa4c6830176eef5b276af04c89320ea616655d01327d5ce65e50575c94"},
{file = "ruamel.yaml.clib-0.2.7-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:4b3a93bb9bc662fc1f99c5c3ea8e623d8b23ad22f861eb6fce9377ac07ad6072"},
{file = "ruamel.yaml.clib-0.2.7-cp36-cp36m-macosx_12_0_arm64.whl", hash = "sha256:a234a20ae07e8469da311e182e70ef6b199d0fbeb6c6cc2901204dd87fb867e8"},
{file = "ruamel.yaml.clib-0.2.7-cp36-cp36m-manylinux2014_aarch64.whl", hash = "sha256:15910ef4f3e537eea7fe45f8a5d19997479940d9196f357152a09031c5be59f3"},
@@ -4649,6 +4649,28 @@ docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "pygments-g
testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8 (<5)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pip (>=19.1)", "pip-run (>=8.8)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
testing-integration = ["build[virtualenv]", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"]
+[[package]]
+name = "setuptools-scm"
+version = "7.1.0"
+description = "the blessed package to manage your versions by scm tags"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "setuptools_scm-7.1.0-py3-none-any.whl", hash = "sha256:73988b6d848709e2af142aa48c986ea29592bbcfca5375678064708205253d8e"},
+ {file = "setuptools_scm-7.1.0.tar.gz", hash = "sha256:6c508345a771aad7d56ebff0e70628bf2b0ec7573762be9960214730de278f27"},
+]
+
+[package.dependencies]
+packaging = ">=20.0"
+setuptools = "*"
+tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""}
+typing-extensions = "*"
+
+[package.extras]
+test = ["pytest (>=6.2)", "virtualenv (>20)"]
+toml = ["setuptools (>=42)"]
+
[[package]]
name = "shortuuid"
version = "1.0.11"
@@ -5091,7 +5113,7 @@ testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"]
name = "tomli"
version = "2.0.1"
description = "A lil' TOML parser"
-category = "dev"
+category = "main"
optional = false
python-versions = ">=3.7"
files = [
@@ -5306,14 +5328,14 @@ files = [
[[package]]
name = "urllib3"
-version = "1.26.13"
+version = "1.26.14"
description = "HTTP library with thread-safe connection pooling, file post, and more."
category = "main"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
files = [
- {file = "urllib3-1.26.13-py2.py3-none-any.whl", hash = "sha256:47cc05d99aaa09c9e72ed5809b60e7ba354e64b59c9c173ac3018642d8bb41fc"},
- {file = "urllib3-1.26.13.tar.gz", hash = "sha256:c083dd0dce68dbfbe1129d5271cb90f9447dea7d52097c6e0126120c521ddea8"},
+ {file = "urllib3-1.26.14-py2.py3-none-any.whl", hash = "sha256:75edcdc2f7d85b137124a6c3c9fc3933cdeaa12ecb9a6a959f22797a0feca7e1"},
+ {file = "urllib3-1.26.14.tar.gz", hash = "sha256:076907bf8fd355cde77728471316625a4d2f7e713c125f51953bb5b3eecf4f72"},
]
[package.extras]
@@ -5419,7 +5441,7 @@ dev = ["pytest"]
type = "git"
url = "https://github.com/openai/whisper.git"
reference = "HEAD"
-resolved_reference = "28769fcfe50755a817ab922a7bc83483159600a9"
+resolved_reference = "f82bc59f5ea234d4b97fb2860842ed38519f7e65"
[[package]]
name = "wikipedia-api"
diff --git a/pyproject.toml b/pyproject.toml
index e7b17bc4e61b85de61028bf6dbfa3549975b51b0..69c306443cf025893bd363b6f9eff254df2f5bd9 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -21,7 +21,7 @@ spacy = "^3.4.4"
pysoundfile = "^0.9.0.post1"
datasets = "^2.8.0"
torchaudio = "^0.13.1"
-flair = "^0.11.3"
+#flair = "^0.11.3"
whisper = {git = "https://github.com/openai/whisper.git"}
ffmpeg-python = "^0.2.0"
pydub = "^0.25.1"
diff --git a/sziszapangma/integration/repository/experiment_repository.py b/sziszapangma/integration/repository/experiment_repository.py
index 4e01d5565d224faa235f51aa2f1eb58279b2f861..e50666dab0f4553dbe7495f742d935b2ed6d2b55 100644
--- a/sziszapangma/integration/repository/experiment_repository.py
+++ b/sziszapangma/integration/repository/experiment_repository.py
@@ -30,6 +30,10 @@ class ExperimentRepository(ABC):
def get_all_record_ids(self) -> Set[str]:
"""Methods returns all possible record ids."""
+ @abstractmethod
+ def get_all_record_ids_for_property(self, property_name: str) -> Set[str]:
+ """Methods returns all possible record ids."""
+
@abstractmethod
def get_all_properties(self) -> Set[str]:
"""Methods returns all possible properties."""
diff --git a/sziszapangma/integration/repository/mongo_experiment_repository.py b/sziszapangma/integration/repository/mongo_experiment_repository.py
index b169735a55a6e36a1ffb66e0abc1d0901658bb4f..6c87a1dc87b4e83c636b8006bebb5ac8ef3202c5 100644
--- a/sziszapangma/integration/repository/mongo_experiment_repository.py
+++ b/sziszapangma/integration/repository/mongo_experiment_repository.py
@@ -49,9 +49,12 @@ class MongoExperimentRepository(ExperimentRepository):
def get_all_record_ids(self) -> Set[str]:
records = set()
for collection_name in self.get_all_properties():
- for record in self._get_database()[collection_name].find():
- records.add(record[ID])
+ for record_id in self.get_all_record_ids_for_property(collection_name):
+ records.add(record_id)
return records
+ def get_all_record_ids_for_property(self, property_name: str) -> Set[str]:
+ return set(record[ID] for record in self._get_database()[property_name].find())
+
def get_all_properties(self) -> Set[str]:
return set(self._get_database().list_collection_names())
diff --git a/sziszapangma/integration/task/processing_task.py b/sziszapangma/integration/task/processing_task.py
index 5c03afb465b099c246e5d95069c7976e0fab935c..be9e52391acc5415adee1700db848a18eafc2a6b 100644
--- a/sziszapangma/integration/task/processing_task.py
+++ b/sziszapangma/integration/task/processing_task.py
@@ -20,8 +20,7 @@ class ProcessingTask(ABC):
def run_single_process(
self,
record_id: str,
- experiment_repository: ExperimentRepository,
- relation_manager: RelationManager,
+ experiment_repository: ExperimentRepository
):
pass
@@ -32,8 +31,7 @@ class ProcessingTask(ABC):
def process(
self,
record_id_iterator: RecordIdIterator,
- experiment_repository: ExperimentRepository,
- relation_manager_provider: RelationManagerProvider,
+ experiment_repository: ExperimentRepository
):
records_ids = list(record_id_iterator.get_all_records())
for record_index in range(len(records_ids)):
@@ -46,8 +44,7 @@ class ProcessingTask(ABC):
if not skip or self._require_update:
print(base_log)
try:
- relation_manager = relation_manager_provider.get_relation_manager(record_id)
- self.run_single_process(record_id, experiment_repository, relation_manager)
+ self.run_single_process(record_id, experiment_repository)
except Exception as err:
print("Handling run-time error:", err)
traceback.print_exc()