| # | uttid | text |
yt4_no_giga
basket_config_path: /home/user/v2v/quality/tts/tortoise-baskets/en_en_mapping_1000.json
data_meta: null
exp_name: yt4_giga
lang: en
meta:
basket_generation_config:
basket_lang: en
basket_path: /home/user/v2v/quality/tts/tortoise-baskets/en_en_mapping_1000.json
batch_size: 4
gpus: 1
inference:
diff_steps: 400
exp: /mount/s3/tts-binary-data-nb/slave/exp/yt4_giga
gpt_generate_args:
do_sample: true
num_return_sequences: 50
override_conditioning_features:
c50: 0.0
snr: 100.0
reranking_options:
mode: MBR
top_k: 1
target_len_rate: 0.75
vocoder: bigvgan
num_workers: 1
output_dir: en_en_mapping/yt4_giga__2024-10-06_21-22-51
ticket: ABC-123
basket_generation_git_hash: 79bdf6d6a693119621c75320997d395368efdc96
model_data_type: tts-cloning
ticket: ABC-123
version: 2024-10-06_21-22-51
|
yt4
basket_config_path: /home/user/v2v/quality/tts/tortoise-baskets/en_en_mapping_1000.json
data_meta: null
exp_name: yt4
lang: en
meta:
basket_generation_config:
basket_lang: en
basket_path: /home/user/v2v/quality/tts/tortoise-baskets/en_en_mapping_1000.json
batch_size: 4
gpus: 4
inference:
diff_steps: 400
exp: /mount/s3/tts-binary-data-nb/slave/exp/yt4
gpt_generate_args:
do_sample: true
num_return_sequences: 50
override_conditioning_features:
bad_text_proba: 0
c50: 0.0
snr: 100.0
reranking_options:
mode: MBR
top_k: 1
target_len_rate: 0.75
vocoder: bigvgan
num_workers: 4
output_dir: en_en_mapping/yt4__2024-09-06_19-41-53
ticket: ABC-123
basket_generation_git_hash: 24b4dda71601398537804f4b24b213e2ec163d5d
model_data_type: tts-cloning
ticket: ABC-123
version: 2024-09-06_19-41-53
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620
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6EhWN5Pk5qM_001/97cb83fa
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I have a variety of Components and pieces in this model.
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621
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Aem7LMLEWes_001/5ef450d7
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Will this be dependent on the height in some way?
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622
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tWkWJxL4xiM_001/51939da4
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Please share your methodology with me in the comments, I am interested to know.
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623
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pcEdR90tbvo_001/fd5e44bd
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Icebergs vary in their shapes and sizes.
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624
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hXMquh9YQUM_001/5a36d34d
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This is an illustration of the kind of experiments that were taking place at that time.
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625
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SO9KnCbBNeY_001/1d6de8b3
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We will continue to have all alleles represented, ensuring a wide range of diversity.
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626
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oR3740vYf-g_002/506885e9
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Is it possible to do this on a Mac?
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627
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02kg7Oxxd20_001/1d775e87
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I had a great time drawing with the 22.
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628
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DRtXJ2ih0AI_001/26afea9a
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I remember it being as light as a pad of paper.
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629
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DRtXJ2ih0AI_001/4cb9e1ad
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I will always remember receiving an email when the iPad 2 was launched.
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630
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r7e5rhVXaCg_001/629c4822
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If I don't enjoy the taste, someone else may be interested in drinking it.
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631
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9PSW2HI3Kng_001/8cbf5de9
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That is something that happens in potential marriage partnerships.
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632
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2Rl7DrjHv5Q_001/b1dde1d7
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The main tower of the castle, known as the donjon, is located in the northern sector of the castle.
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633
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oR3740vYf-g_001/5440a9af
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It doesn't appear cinematic from my perspective.
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634
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y6jOzSdTtjI_001/2cd69b87
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Would you like to open another one tomorrow?
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635
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y6jOzSdTtjI_001/30f07b79
|
Would you like to give it a try or would you prefer not to?
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636
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-DnkFcR6vrc_001/894134b5
|
The boulder, similar to the mast, also appears to be indicating the central iceberg.
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637
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7snYoNLkxcY_001/7500b1c3
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There is plenty of space available.
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638
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MpJ883uplYU_001/e18f0472
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What are your thoughts on children's programming?
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639
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oR3740vYf-g_001/c1dac7b4
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I have positioned it on my desk for the purpose of carrying my phone.
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