Repository: LAION-AI/CLAP (language: python)

Issue:
clean codebase



Discussion / hints:

Fix patch:
diff --git a/run_code.txt b/run_code.txt
deleted file mode 100644
index 03b9632..0000000
--- a/run_code.txt
+++ /dev/null
@@ -1,433 +0,0 @@
-# Single Card toy dataset
-
-CUDA_VISIBLE_DEVICES=0 python -m training.main \
-    --save-frequency 100 \
-    --save-top-performance 3  \
-    --save-most-recent \
-    --dataset-type="webdataset" \
-    --precision="fp32" \
-    --pretrained="openai" \
-    --warmup 10000  \
-    --batch-size=96 \
-    --lr=1e-3 \
-    --wd=0.1 \
-    --epochs=200  \
-    --workers=4 \
-    --use-bn-sync  \
-    --amodel PANN-14 \
-    --tmodel transformer \
-    --datasetnames "Clotho" "audiocaps" "BBCSoundEffects" \
-    --datasetinfos "train" "unbalanced_train" "balanced_train"
-
-# Toy dataset Linear Probe
-CUDA_VISIBLE_DEVICES=0 python -m training.main \
-    --save-frequency 1 \
-    --dataset-type="toy" \
-    --train-data="/home/la/kechen/Research/ke_zsasp/workspace/hdf5s/indexes/balanced_train.h5"  \
-    --val-data="/home/la/kechen/Research/ke_zsasp/workspace/hdf5s/indexes/eval.h5"  \
-    --train-ipc="/home/la/kechen/Research/clap/CLAP/idc_train.npy" \
-    --val-ipc="/home/la/kechen/Research/clap/CLAP/idc_eval.npy" \
-    --precision="fp32" \
-    --warmup 10000 \
-    --batch-size=4 \
-    --lr=1e-3 \
-    --wd=0.1 \
-    --epochs=1 \
-    --workers=0 \
-    --amodel HTSAT-tiny \
-    --tmodel transformer \
-    --no-eval \
-    --lp-freeze \
-    --pretrained="/home/la/kechen/Research/clap/ckpt/2022_05_07-19_16_07-model_HTSAT-tiny-lr_0.001-b_96-j_4-p_fp32/checkpoints/epoch_top_0.pt"
-
-torchrun --nproc_per_node 2 -m training.lp_main \
-    --save-frequency 1 \
-    --dataset-type="toy" \
-    --train-data="/home/la/kechen/Research/ke_zsasp/workspace/hdf5s/indexes/balanced_train.h5"  \
-    --val-data="/home/la/kechen/Research/ke_zsasp/workspace/hdf5s/indexes/eval.h5"  \
-    --train-ipc="/home/la/kechen/Research/clap/CLAP/idc_train.npy" \
-    --val-ipc="/home/la/kechen/Research/clap/CLAP/idc_eval.npy" \
-    --precision="fp32" \
-    --warmup 10000 \
-    --batch-size=32 \
-    --lr=1e-3 \
-    --wd=0.1 \
-    --epochs=1 \
-    --workers=4 \
-    --amodel HTSAT-tiny \
-    --tmodel transformer \
-    --no-eval \
-    --lp-freeze \
-    --pretrained="/home/la/kechen/Research/clap/ckpt/2022_05_07-19_16_07-model_HTSAT-tiny-lr_0.001-b_96-j_4-p_fp32/checkpoints/epoch_top_0.pt"
-
-CUDA_VISIBLE_DEVICES=0 python -m training.main \
-    --save-frequency 1 \
-    --dataset-type="toy" \
-    --train-data="/home/la/kechen/Research/ke_zsasp/workspace/hdf5s/indexes/balanced_train.h5"  \
-    --val-data="/home/la/kechen/Research/ke_zsasp/workspace/hdf5s/indexes/eval.h5"  \
-    --train-ipc="/home/la/kechen/Research/clap/CLAP/idc_train.npy" \
-    --val-ipc="/home/la/kechen/Research/clap/CLAP/idc_eval.npy" \
-    --precision="fp32" \
-    --warmup 10000 \
-    --batch-size=32 \
-    --lr=1e-3 \
-    --wd=0.1 \
-    --epochs=1 \
-    --workers=4 \
-    --amodel PANN-14 \
-    --tmodel transformer \
-
-
-
-torchrun --nproc_per_node 8 -m training.main \
-    --save-frequency 100 \
-    --save-top-performance 3  \
-    --save-most-recent \
-    --dataset-type="webdataset" \
-    --precision="fp32" \
-    --pretrained="openai" \
-    --warmup 10000  \
-    --batch-size=96 \
-    --lr=1e-3 \
-    --wd=0.1 \
-    --epochs=200  \
-    --workers=4 \
-    --freeze-text \
-    --use-bn-sync  \
-    --amodel PANN-14 \
-    --tmodel transformer \
-    --datasetnames "Clotho" "audiocaps" "BBCSoundEffects" \
-    --datasetinfos "train" "unbalanced_train" "balanced_train"
-
-
-
-
-# run with wandb
-torchrun --nproc_per_node 8 -m training.main \
-    --save-frequency 100 \
-    --save-top-performance 3  \
-    --save-most-recent \
-    --dataset-type="webdataset" \
-    --precision="fp32" \
-    --pretrained="openai" \
-    --warmup 10000  \
-    --batch-size=96 \
-    --split-opt \
-    --lr=1e-3 \
-    --lr-new=1e-4 \
-    --wd=0.1 \
-    --epochs=200  \
-    --workers=4 \
-    --use-bn-sync  \
-    --amodel PANN-14 \
-    --tmodel transformer \
-    --report-to "wandb" \
-    --wandb-notes "text-audio-diff-lr-1e-3-1e-4-model-pann-14" \
-    --datasetnames "Clotho" "audiocaps" "BBCSoundEffects" \
-    --datasetinfos "train" "unbalanced_train" "balanced_train" \
-
-torchrun --nproc_per_node 8 -m training.main \
-    --save-frequency 100 \
-    --save-top-performance 3  \
-    --save-most-recent \
-    --dataset-type="webdataset" \
-    --precision="fp32" \
-    --pretrained="openai" \
-    --warmup 10000  \
-    --batch-size=96 \
-    --split-opt \
-    --lr=1e-3 \
-    --lr-new=1e-4 \
-    --wd=0.1 \
-    --epochs=200  \
-    --workers=4 \
-    --use-bn-sync  \
-    --amodel PANN-14 \
-    --tmodel transformer \
-    --report-to "wandb" \
-    --wandb-notes "text-audio-diff-lr-1e-3-1e-4-model-pann-14" \
-    --datasetnames "Clotho" "audiocaps" "BBCSoundEffects" \
-    --datasetinfos "train" "unbalanced_train" "balanced_train" "eval" \
-
-torchrun --nproc_per_node 8 -m training.main \
-    --save-frequency 100 \
-    --save-top-performance 3  \
-    --save-most-recent \
-    --dataset-type="webdataset" \
-    --precision="fp32" \
-    --pretrained="openai" \
-    --warmup 10000  \
-    --batch-size=96 \
-    --split-opt \
-    --lr=1e-3 \
-    --lr-new=1e-4 \
-    --wd=0.1 \
-    --epochs=200  \
-    --workers=4 \
-    --use-bn-sync  \
-    --amodel HTSAT-tiny \
-    --tmodel transformer \
-    --report-to "wandb" \
-    --wandb-notes "text-audio-diff-lr-1e-3-1e-4-model-htsat-tiny" \
-    --datasetnames "Clotho" "audiocaps" "BBCSoundEffects" \
-    --datasetinfos "train" "unbalanced_train" "balanced_train" \
-
-
-# tomorrow for yusong
-
-torchrun --nproc_per_node 8 -m training.main \
-    --save-frequency 100 \
-    --save-top-performance 3  \
-    --save-most-recent \
-    --dataset-type="webdataset" \
-    --precision="fp32" \
-    --pretrained="openai" \
-    --warmup 10000  \
-    --batch-size=96 \
-    --lr=1e-3 \
-    --wd=0.1 \
-    --epochs=200  \
-    --workers=4 \
-    --use-bn-sync  \
-    --freeze-text \
-    --amodel PANN-14 \
-    --tmodel transformer \
-    --report-to "wandb" \
-    --wandb-notes "text-audio-freeze-text-lr-1e-3-model-pann-14" \
-    --datasetnames "Clotho" "audiocaps" "BBCSoundEffects" "audioset"  \
-    --datasetinfos "train" "unbalanced_train" "balanced_train"\
-
-torchrun --nproc_per_node 8 -m training.main \
-    --save-frequency 100 \
-    --save-top-performance 3  \
-    --save-most-recent \
-    --dataset-type="webdataset" \
-    --precision="fp32" \
-    --pretrained="openai" \
-    --warmup 10000  \
-    --batch-size=96 \
-    --lr=1e-3 \
-    --wd=0.1 \
-    --epochs=200  \
-    --workers=4 \
-    --use-bn-sync  \
-    --freeze-text \
-    --amodel HTSAT-tiny \
-    --tmodel transformer \
-    --report-to "wandb" \
-    --wandb-notes "text-audio-freeze-text-lr-1e-3-model-htsat-tiny" \
-    --datasetnames "Clotho" "audiocaps" "BBCSoundEffects" "audioset"  \
-    --datasetinfos "train" "unbalanced_train" "balanced_train"\
-
-# freeze text after epoch 3 and make lr-pretrained=1e-5
-torchrun --nproc_per_node 8 -m training.main \
-    --save-frequency 100 \
-    --save-top-performance 3  \
-    --save-most-recent \
-    --dataset-type="webdataset" \
-    --precision="fp32" \
-    --pretrained="openai" \
-    --warmup 10000  \
-    --batch-size=96 \
-    --lr-new=1e-3 \
-    --lr-pretrained=1e-5 \
-    --freeze-text-after=5 \
-    --wd=0.1 \
-    --epochs=200  \
-    --workers=4 \
-    --use-bn-sync  \
-    --amodel PANN-14 \
-    --tmodel transformer \
-    --report-to "wandb" \
-    --wandb-notes "text-audio-diff-lr-1e-3-1e-5-freeze-after-5-model-pann-14" \
-    --datasetnames "Clotho" "audiocaps" "BBCSoundEffects"  \
-    --datasetinfos "train" "unbalanced_train" "balanced_train" \
-
-torchrun --nproc_per_node 8 -m training.main \
-    --save-frequency 100 \
-    --save-top-performance 3  \
-    --save-most-recent \
-    --dataset-type="webdataset" \
-    --precision="fp32" \
-    --pretrained="openai" \
-    --warmup 10000  \
-    --batch-size=192 \
-    --lr=1e-3 \
-    --wd=0.1 \
-    --epochs=400  \
-    --workers=10 \
-    --use-bn-sync  \
-    --freeze-text \
-    --amodel HTSAT-tiny \
-    --tmodel transformer \
-    --report-to "wandb" \
-    --wandb-notes "text-audio-freeze-text-lr-1e-3-8-dataset-model-htsat-tiny" \
-    --datasetnames "Clotho" "audiocaps" "BBCSoundEffects" "audioset" "free_to_use_sounds" "paramount_motion" "sonniss_game_effects" "wesoundeffects" \
-    --datasetinfos "train" "unbalanced_train" "balanced_train"\
-    --remotedata
-
-torchrun --nproc_per_node 8 -m training.main \
-    --save-frequency 100 \
-    --save-top-performance 3  \
-    --save-most-recent \
-    --dataset-type="webdataset" \
-    --precision="fp32" \
-    --pretrained="openai" \
-    --warmup 10000  \
-    --batch-size=192 \
-    --lr=1e-3 \
-    --wd=0.1 \
-    --epochs=400  \
-    --workers=10 \
-    --use-bn-sync  \
-    --freeze-text \
-    --amodel HTSAT-tiny \
-    --tmodel transformer \
-    --report-to "wandb" \
-    --wandb-notes "text-audio-freeze-text-lr-1e-3-8-dataset-model-htsat-tiny" \
-    --datasetnames "audioset" \
-    --datasetinfos "train" "unbalanced_train" "balanced_train"\
-    --remotedata
-
-# HTSAT-tiny max batch size: 184
-# PANN-14 max batch size: 184
-
-torchrun --nproc_per_node 8  -m training.main \
-    --save-frequency 50 \
-    --save-top-performance 3 \
-    --save-most-recent \
-    --dataset-type="webdataset" \
-    --precision="fp32" \
-    --pretrained="openai" \
-    --warmup 10000 \
-    --batch-size=184 \
-    --lr=1e-3 \
-    --wd=0.1 \
-    --epochs=400 \
-    --workers=10 \
-    --use-bn-sync \
-    --freeze-text \
-    --amodel HTSAT-tiny \
-    --tmodel transformer \
-    --report-to "wandb" \
-    --wandb-notes "text-audio-freeze-text-lr-1e-3-8-dataset-model-htsat-tiny" \
-    --datasetnames "Clotho" "audiocaps" "BBCSoundEffects" "audioset" "free_to_use_sounds" "paramount_motion" "sonniss_game_effects" "wesoundeffects" \
-    --datasetinfos "train" "unbalanced_train" "balanced_train" "valid" \
-    --top-k-checkpoint-select-dataset="Clotho-test" \
-    --top-k-checkpoint-select-metric="mAP@10" \
-    --seed 3407
-
-torchrun --nproc_per_node 8  -m training.main \
-    --save-frequency 50 \
-    --save-top-performance 3 \
-    --save-most-recent \
-    --dataset-type="webdataset" \
-    --precision="fp32" \
-    --pretrained="openai" \
-    --warmup 10000 \
-    --batch-size=184 \
-    --lr=1e-3 \
-    --wd=0.1 \
-    --epochs=400 \
-    --workers=10 \
-    --use-bn-sync \
-    --freeze-text \
-    --amodel PANN-14 \
-    --tmodel transformer \
-    --report-to "wandb" \
-    --wandb-notes "text-audio-freeze-text-lr-1e-3-8-dataset-model-pann-14" \
-    --datasetnames "Clotho" "audiocaps" "BBCSoundEffects" "audioset" "free_to_use_sounds" "paramount_motion" "sonniss_game_effects" "wesoundeffects" \
-    --datasetinfos "train" "unbalanced_train" "balanced_train" "valid" \
-    --top-k-checkpoint-select-dataset="Clotho-test" \
-    --top-k-checkpoint-select-metric="mAP@10" \
-    --seed 3407 \
-    --remotedata
-
-torchrun --nproc_per_node 8  -m training.main \
-    --save-frequency 50 \
-    --save-top-performance 3 \
-    --save-most-recent \
-    --dataset-type="webdataset" \
-    --precision="fp32" \
-    --warmup 10000 \
-    --batch-size=184 \
-    --lr=1e-3 \
-    --wd=0.1 \
-    --epochs=400 \
-    --workers=10 \
-    --use-bn-sync \
-    --freeze-text \
-    --amodel PANN-14 \
-    --tmodel bert \
-    --report-to "wandb" \
-    --wandb-notes "text-audio-freeze-text-lr-1e-3-8-dataset-model-pann-14" \
-    --datasetnames "Clotho" "audiocaps" "BBCSoundEffects" "audioset" "free_to_use_sounds" "paramount_motion" "sonniss_game_effects" "wesoundeffects" \
-    --datasetinfos "train" "unbalanced_train" "balanced_train" "valid" \
-    --top-k-checkpoint-select-dataset="Clotho-test" \
-    --top-k-checkpoint-select-metric="mAP@10" \
-    --seed 3407 \
-    --remotedata
-
-
-torchrun --nproc_per_node 8  -m training.main \
-    --save-frequency 50 \
-    --save-top-performance 3 \
-    --save-most-recent \
-    --dataset-type="webdataset" \
-    --precision="fp32" \
-    --warmup 10000 \
-    --batch-size=184 \
-    --lr=1e-3 \
-    --wd=0.1 \
-    --epochs=400 \
-    --workers=10 \
-    --use-bn-sync \
-    --freeze-text \
-    --amodel PANN-14 \
-    --tmodel roberta \
-    --report-to "wandb" \
-    --wandb-notes "text-audio-freeze-text-lr-1e-3-8-dataset-model-pann-14" \
-    --datasetnames "Clotho" "audiocaps" "BBCSoundEffects" "audioset" "free_to_use_sounds" "paramount_motion" "sonniss_game_effects" "wesoundeffects" \
-    --datasetinfos "train" "unbalanced_train" "balanced_train" "valid" \
-    --top-k-checkpoint-select-dataset="Clotho-test" \
-    --top-k-checkpoint-select-metric="mAP@10" \
-    --seed 3407 \
-    --remotedata
-----run on summit----
-
-module load open-ce/1.5.2-py39-0
-conda activate ~/audio_clip
-cd ~/CLAP/src
-
-num_nodes=16
-jsrun --launch_distribution=packed -bpacked:7 -n${num_nodes} -r1 -a6 -g6 -c42 ./launch-smt4.sh ./run_summit_clap.sh
-
-num_nodes=2
-jsrun --launch_distribution=packed -bpacked:7 -n${num_nodes} -r1 -a6 -g6 -c42 ./launch-smt4.sh ./run_summit_clap.sh
-
-jsrun --launch_distribution=packed -bpacked:7 -n1 -r1 -a1 -g1 -c7 ./launch-smt1.sh ./run_summit_clap_eval.sh
-
-num_nodes=1
-jsrun --launch_distribution=packed -bpacked:7 -n${num_nodes} -r1 -a6 -g6 -c42 ./launch-smt4.sh ./run_summit_clap.sh
-
-num_nodes=2
-jsrun --launch_distribution=packed -bpacked:7 -n${num_nodes} -r1 -a6 -g6 -c42 ./launch-smt4.sh ./run_summit_clap.sh
-
-jsrun --launch_distribution=packed -bpacked:7 -n1 -r1 -a1 -g1 -c7 ./launch-smt1.sh ./run_summit_clap_eval.sh
-
-num_nodes=1
-jsrun --launch_distribution=packed -bpacked:7 -n${num_nodes} -r1 -a6 -g6 -c42 ./launch-smt4.sh ./run_summit_clap.sh
-
-
-# pretrained_audio = ''
-# audio_ckpt = torch.load(pretrained_audio, map_location='cpu')
-# audio_ckpt = audio_ckpt['state_dict']
-# save_ckpt = {}
-# keys = list(audio_ckpt.keys())
-# for key in keys:
-#     if 'audio_branch' in key:
-#         v = audio_ckpt.pop(key)
-#         save_key = key.replace('module.clap_model.', '')
-#         save_ckpt[save_key] = v
-#
-# torch.save(save_ckpt, '10.13_pann_epoch_50_mixup_processed.pt')
\ No newline at end of file
diff --git a/src/data/BBCSoundEffects/train.txt b/src/data/BBCSoundEffects/train.txt
deleted file mode 100644
index 2339b51..0000000
--- a/src/data/BBCSoundEffects/train.txt
+++ /dev/null
@@ -1,29 +0,0 @@
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/BBCSoundEffects/train/0.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/BBCSoundEffects/train/1.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/BBCSoundEffects/train/2.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/BBCSoundEffects/train/3.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/BBCSoundEffects/train/4.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/BBCSoundEffects/train/5.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/BBCSoundEffects/train/6.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/BBCSoundEffects/train/7.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/BBCSoundEffects/train/8.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/BBCSoundEffects/train/9.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/BBCSoundEffects/train/10.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/BBCSoundEffects/train/11.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/BBCSoundEffects/train/12.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/BBCSoundEffects/train/13.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/BBCSoundEffects/train/14.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/BBCSoundEffects/train/15.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/BBCSoundEffects/train/16.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/BBCSoundEffects/train/17.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/BBCSoundEffects/train/18.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/BBCSoundEffects/train/19.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/BBCSoundEffects/train/20.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/BBCSoundEffects/train/21.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/BBCSoundEffects/train/22.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/BBCSoundEffects/train/23.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/BBCSoundEffects/train/24.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/BBCSoundEffects/train/25.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/BBCSoundEffects/train/26.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/BBCSoundEffects/train/27.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/BBCSoundEffects/train/28.tar
\ No newline at end of file
diff --git a/src/data/Clotho/train.txt b/src/data/Clotho/train.txt
deleted file mode 100644
index b4a1a23..0000000
--- a/src/data/Clotho/train.txt
+++ /dev/null
@@ -1,8 +0,0 @@
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/Clotho/train/0.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/Clotho/train/1.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/Clotho/train/2.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/Clotho/train/3.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/Clotho/train/4.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/Clotho/train/5.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/Clotho/train/6.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/Clotho/train/7.tar
\ No newline at end of file
diff --git a/src/data/Clotho/valid.txt b/src/data/Clotho/valid.txt
deleted file mode 100644
index a378ae7..0000000
--- a/src/data/Clotho/valid.txt
+++ /dev/null
@@ -1,3 +0,0 @@
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/Clotho/valid/0.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/Clotho/valid/1.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/Clotho/valid/2.tar
\ No newline at end of file
diff --git a/src/data/audiocaps/train.txt b/src/data/audiocaps/train.txt
deleted file mode 100644
index a894c56..0000000
--- a/src/data/audiocaps/train.txt
+++ /dev/null
@@ -1,90 +0,0 @@
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/0.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/1.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/2.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/3.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/4.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/5.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/6.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/7.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/8.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/9.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/10.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/11.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/12.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/13.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/14.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/15.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/16.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/17.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/18.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/19.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/20.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/21.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/22.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/23.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/24.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/25.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/26.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/27.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/28.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/29.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/30.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/31.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/32.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/33.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/34.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/35.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/36.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/37.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/38.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/39.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/40.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/41.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/42.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/43.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/44.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/45.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/46.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/47.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/48.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/49.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/50.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/51.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/52.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/53.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/54.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/55.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/56.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/57.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/58.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/59.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/60.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/61.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/62.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/63.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/64.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/65.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/66.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/67.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/68.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/69.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/70.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/71.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/72.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/73.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/74.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/75.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/76.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/77.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/78.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/79.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/80.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/81.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/82.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/83.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/84.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/85.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/86.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/87.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/88.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/train/89.tar
\ No newline at end of file
diff --git a/src/data/audiocaps/valid.txt b/src/data/audiocaps/valid.txt
deleted file mode 100644
index 890e17b..0000000
--- a/src/data/audiocaps/valid.txt
+++ /dev/null
@@ -1,5 +0,0 @@
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/valid/0.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/valid/1.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/valid/2.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/valid/3.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/valid/4.tar
\ No newline at end of file
diff --git a/src/data/audioset/balanced_train.txt b/src/data/audioset/balanced_train.txt
deleted file mode 100644
index 6201828..0000000
--- a/src/data/audioset/balanced_train.txt
+++ /dev/null
@@ -1,41 +0,0 @@
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/balanced_train/0.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/balanced_train/1.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/balanced_train/2.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/balanced_train/3.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/balanced_train/4.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/balanced_train/5.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/balanced_train/6.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/balanced_train/7.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/balanced_train/8.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/balanced_train/9.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/balanced_train/10.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/balanced_train/11.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/balanced_train/12.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/balanced_train/13.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/balanced_train/14.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/balanced_train/15.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/balanced_train/16.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/balanced_train/17.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/balanced_train/18.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/balanced_train/19.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/balanced_train/20.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/balanced_train/21.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/balanced_train/22.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/balanced_train/23.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/balanced_train/24.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/balanced_train/25.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/balanced_train/26.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/balanced_train/27.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/balanced_train/28.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/balanced_train/29.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/balanced_train/30.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/balanced_train/31.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/balanced_train/32.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/balanced_train/33.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/balanced_train/34.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/balanced_train/35.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/balanced_train/36.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/balanced_train/37.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/balanced_train/38.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/balanced_train/39.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/balanced_train/40.tar
\ No newline at end of file
diff --git a/src/data/audioset/eval.txt b/src/data/audioset/eval.txt
deleted file mode 100644
index a7c4194..0000000
--- a/src/data/audioset/eval.txt
+++ /dev/null
@@ -1,37 +0,0 @@
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/eval/0.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/eval/1.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/eval/2.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/eval/3.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/eval/4.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/eval/5.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/eval/6.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/eval/7.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/eval/8.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/eval/9.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/eval/10.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/eval/11.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/eval/12.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/eval/13.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/eval/14.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/eval/15.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/eval/16.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/eval/17.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/eval/18.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/eval/19.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/eval/20.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/eval/21.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/eval/22.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/eval/23.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/eval/24.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/eval/25.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/eval/26.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/eval/27.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/eval/28.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/eval/29.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/eval/30.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/eval/31.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/eval/32.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/eval/33.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/eval/34.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/eval/35.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/eval/36.tar
\ No newline at end of file
diff --git a/src/data/audioset/unbalanced_train.txt b/src/data/audioset/unbalanced_train.txt
deleted file mode 100644
index d949496..0000000
--- a/src/data/audioset/unbalanced_train.txt
+++ /dev/null
@@ -1,3734 +0,0 @@
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/0.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/4.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/5.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/6.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/7.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/8.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/9.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/10.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/11.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/12.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/13.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/14.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/15.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/16.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/17.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/18.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/19.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/20.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/21.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/22.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/23.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/24.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/25.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/26.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/27.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/28.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/29.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/30.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/31.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/32.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/33.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/34.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/35.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/36.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/37.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/38.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/39.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/40.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/41.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/42.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/43.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/44.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/45.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/46.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/47.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/48.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/49.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/50.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/51.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/52.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/53.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/54.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/55.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/56.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/57.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/58.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/59.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/60.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/61.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/62.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/63.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/64.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/65.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/66.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/67.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/68.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/69.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/70.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/71.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/72.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/73.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/74.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/75.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/76.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/77.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/78.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/79.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/80.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/81.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/82.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/83.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/84.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/85.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/86.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/87.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/88.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/89.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/90.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/91.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/92.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/93.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/94.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/95.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/96.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/97.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/98.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/99.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/100.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/101.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/102.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/103.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/104.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/105.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/106.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/107.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/108.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/109.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/110.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/111.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/112.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/113.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/114.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/115.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/116.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/117.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/118.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/119.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/120.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/121.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/122.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/123.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/124.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/125.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/126.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/127.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/128.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/129.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/130.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/131.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/132.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/133.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/134.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/135.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/136.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/137.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/138.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/139.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/140.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/141.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/142.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/143.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/144.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/145.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/146.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/147.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/148.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/149.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/150.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/151.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/152.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/153.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/154.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/155.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/156.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/157.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/158.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/159.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/160.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/161.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/162.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/163.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/164.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/165.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/166.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/167.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/168.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/169.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/170.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/171.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/172.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/173.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/174.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/175.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/176.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/177.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/178.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/179.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/180.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/181.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/182.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/183.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/184.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/185.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/186.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/187.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/188.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/189.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/190.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/191.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/192.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/193.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/194.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/195.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/196.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/197.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/198.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/199.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/200.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/201.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/202.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/203.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/204.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/205.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/206.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/207.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/208.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/209.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/210.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/211.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/212.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/213.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/214.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/215.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/216.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/217.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/218.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/219.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/220.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/221.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/222.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/223.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/224.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/225.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/226.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/227.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/228.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/229.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/230.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/231.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/232.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/233.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/234.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/235.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/236.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/237.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/238.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/239.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/240.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/241.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/242.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/243.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/244.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/245.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/246.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/247.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/248.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/249.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/250.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/251.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/252.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/253.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/254.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/255.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/256.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/257.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/258.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/259.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/260.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/261.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/262.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/263.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/264.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/265.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/266.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/267.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/268.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/269.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/270.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/271.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/272.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/273.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/274.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/275.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/276.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/277.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/278.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/279.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/280.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/281.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/282.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/283.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/284.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/285.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/286.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/287.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/288.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/289.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/290.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/291.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/292.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/293.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/294.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/295.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/296.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/297.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/298.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/299.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/300.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/301.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/302.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/303.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/304.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/305.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/306.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/307.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/308.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/309.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/310.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/311.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/312.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/313.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/314.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/315.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/316.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/317.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/318.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/319.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/320.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/321.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/322.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/323.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/324.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/325.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/326.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/327.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/328.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/329.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/330.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/331.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/332.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/333.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/334.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/335.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/336.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/337.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/338.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/339.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/340.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/341.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/342.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/343.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/344.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/345.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/346.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/347.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/348.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/349.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/350.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/351.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/352.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/353.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/354.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/355.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/356.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/357.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/358.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/359.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/360.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/361.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/362.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/363.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/364.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/365.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/366.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/367.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/368.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/369.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/370.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/371.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/372.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/373.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/374.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/375.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/376.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/377.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/378.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/379.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/380.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/381.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/382.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/383.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/384.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/385.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/386.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/387.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/388.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/389.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/390.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/391.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/392.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/393.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/394.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/395.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/396.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/397.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/398.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/399.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/400.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/401.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/402.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/403.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/404.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/405.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/406.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/407.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/408.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/409.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/410.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/411.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/412.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/413.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/414.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/415.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/416.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/417.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/418.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/419.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/420.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/421.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/422.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/423.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/424.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/425.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/426.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/427.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/428.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/429.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/430.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/431.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/432.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/433.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/434.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/435.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/436.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/437.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/438.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/439.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/440.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/441.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/442.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/443.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/444.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/445.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/446.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/447.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/448.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/449.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/450.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/451.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/452.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/453.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/454.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/455.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/456.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/457.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/458.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/459.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/460.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/461.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/462.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/463.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/464.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/465.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/466.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/467.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/468.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/469.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/470.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/471.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/472.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/473.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/474.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/475.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/476.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/477.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/478.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/479.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/480.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/481.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/482.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/483.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/484.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/485.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/486.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/487.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/488.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/489.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/490.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/491.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/492.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/493.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/494.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/495.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/496.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/497.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/498.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/499.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/500.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/501.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/502.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/503.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/504.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/505.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/506.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/507.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/508.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/509.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/510.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/511.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/512.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/513.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/514.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/515.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/516.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/517.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/518.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/519.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/520.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/521.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/522.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/523.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/524.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/525.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/526.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/527.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/528.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/529.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/530.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/531.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/532.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/533.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/534.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/535.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/536.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/537.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/538.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/539.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/540.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/541.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/542.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/543.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/544.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/545.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/546.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/547.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/548.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/549.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/550.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/551.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/552.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/553.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/554.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/555.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/556.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/557.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/558.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/559.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/560.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/561.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/562.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/563.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/564.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/565.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/566.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/567.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/568.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/569.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/570.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/571.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/572.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/573.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/574.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/575.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/576.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/577.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/578.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/579.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/580.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/581.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/582.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/583.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/584.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/585.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/586.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/587.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/588.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/589.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/590.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/591.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/592.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/593.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/594.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/595.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/596.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/597.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/598.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/599.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/600.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/601.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/602.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/603.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/604.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/605.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/606.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/607.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/608.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/609.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/610.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/611.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/612.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/613.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/614.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/615.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/616.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/617.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/618.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/619.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/620.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/621.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/622.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/623.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/624.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/625.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/626.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/627.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/628.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/629.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/630.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/631.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/632.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/633.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/634.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/635.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/636.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/637.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/638.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/639.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/640.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/641.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/642.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/643.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/644.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/645.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/646.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/647.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/648.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/649.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/650.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/651.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/652.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/653.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/654.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/655.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/656.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/657.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/658.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/659.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/660.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/661.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/662.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/663.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/664.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/665.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/666.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/667.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/668.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/669.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/670.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/671.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/672.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/673.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/674.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/675.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/676.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/677.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/678.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/679.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/680.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/681.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/682.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/683.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/684.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/685.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/686.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/687.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/688.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/689.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/690.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/691.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/692.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/693.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/694.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/695.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/696.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/697.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/698.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/699.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/700.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/701.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/702.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/703.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/704.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/705.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/706.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/707.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/708.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/709.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/710.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/711.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/712.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/713.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/714.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/715.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/716.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/717.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/718.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/719.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/720.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/721.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/722.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/723.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/724.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/725.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/726.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/727.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/728.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/729.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/730.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/731.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/732.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/733.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/734.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/735.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/736.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/737.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/738.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/739.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/740.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/741.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/742.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/743.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/744.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/745.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/746.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/747.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/748.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/749.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/750.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/751.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/752.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/753.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/754.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/755.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/756.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/757.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/758.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/759.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/760.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/761.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/762.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/763.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/764.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/765.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/766.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/767.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/768.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/769.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/770.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/771.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/772.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/773.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/774.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/775.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/776.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/777.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/778.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/779.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/780.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/781.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/782.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/783.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/784.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/785.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/786.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/787.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/788.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/789.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/790.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/791.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/792.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/793.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/794.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/795.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/796.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/797.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/798.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/799.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/800.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/801.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/802.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/803.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/804.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/805.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/806.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/807.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/808.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/809.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/810.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/811.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/812.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/813.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/814.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/815.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/816.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/817.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/818.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/819.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/820.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/821.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/822.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/823.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/824.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/825.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/826.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/827.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/828.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/829.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/830.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/831.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/832.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/833.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/834.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/835.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/836.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/837.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/838.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/839.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/840.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/841.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/842.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/843.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/844.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/845.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/846.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/847.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/848.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/849.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/850.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/851.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/852.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/853.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/854.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/855.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/856.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/857.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/858.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/859.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/860.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/861.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/862.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/863.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/864.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/865.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/866.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/867.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/868.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/869.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/870.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/871.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/872.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/873.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/874.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/875.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/876.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/877.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/878.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/879.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/880.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/881.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/882.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/883.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/884.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/885.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/886.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/887.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/888.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/889.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/890.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/891.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/892.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/893.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/894.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/895.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/896.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/897.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/898.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/899.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/900.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/901.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/902.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/903.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/904.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/905.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/906.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/907.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/908.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/909.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/910.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/911.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/912.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/913.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/914.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/915.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/916.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/917.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/918.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/919.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/920.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/921.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/922.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/923.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/924.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/925.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/926.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/927.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/928.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/929.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/930.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/931.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/932.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/933.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/934.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/935.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/936.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/937.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/938.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/939.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/940.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/941.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/942.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/943.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/944.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/945.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/946.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/947.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/948.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/949.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/950.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/951.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/952.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/953.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/954.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/955.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/956.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/957.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/958.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/959.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/960.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/961.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/962.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/963.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/964.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/965.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/966.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/967.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/968.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/969.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/970.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/971.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/972.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/973.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/974.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/975.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/976.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/977.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/978.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/979.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/980.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/981.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/982.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/983.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/984.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/985.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/986.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/987.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/988.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/989.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/990.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/991.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/992.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/993.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/994.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/995.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/996.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/997.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/998.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/999.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1000.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1001.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1002.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1003.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1004.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1005.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1006.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1007.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1008.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1009.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1010.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1011.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1012.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1013.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1014.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1015.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1016.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1017.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1018.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1019.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1020.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1021.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1022.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1023.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1024.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1025.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1026.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1027.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1028.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1029.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1030.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1031.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1032.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1033.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1034.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1035.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1036.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1037.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1038.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1039.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1040.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1041.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1042.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1043.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1044.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1045.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1046.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1047.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1048.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1049.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1050.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1051.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1052.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1053.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1054.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1055.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1056.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1057.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1058.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1059.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1060.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1061.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1062.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1063.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1064.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1065.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1066.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1067.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1068.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1069.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1070.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1071.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1072.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1073.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1074.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1075.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1076.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1077.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1078.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1079.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1080.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1081.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1082.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1083.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1084.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1085.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1086.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1087.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1088.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1089.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1090.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1091.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1092.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1093.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1094.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1095.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1096.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1097.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1098.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1099.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1100.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1101.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1102.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1103.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1104.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1105.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1106.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1107.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1108.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1109.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1110.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1111.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1112.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1113.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1114.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1115.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1116.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1117.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1118.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1119.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1120.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1121.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1122.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1123.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1124.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1125.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1126.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1127.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1128.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1129.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1130.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1131.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1132.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1133.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1134.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1135.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1136.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1137.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1138.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1139.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1140.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1141.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1142.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1143.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1144.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1145.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1146.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1147.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1148.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1149.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1150.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1151.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1152.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1153.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1154.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1155.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1156.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1157.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1158.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1159.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1160.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1161.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1162.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1163.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1164.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1165.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1166.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1167.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1168.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1169.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1170.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1171.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1172.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1173.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1174.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1175.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1176.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1177.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1178.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1179.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1180.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1181.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1182.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1183.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1184.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1185.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1186.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1187.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1188.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1189.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1190.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1191.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1192.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1193.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1194.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1195.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1196.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1197.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1198.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1199.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1200.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1201.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1202.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1203.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1204.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1205.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1206.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1207.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1208.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1209.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1210.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1211.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1212.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1213.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1214.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1215.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1216.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1217.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1218.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1219.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1220.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1221.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1222.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1223.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1224.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1225.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1226.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1227.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1228.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1229.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1230.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1231.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1232.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1233.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1234.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1235.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1236.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1237.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1238.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1239.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1240.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1241.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1242.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1243.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1244.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1245.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1246.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1247.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1248.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1249.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1250.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1251.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1252.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1253.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1254.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1255.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1256.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1257.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1258.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1259.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1260.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1261.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1262.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1263.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1264.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1265.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1266.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1267.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1268.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1269.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1270.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1271.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1272.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1273.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1274.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1275.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1276.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1277.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1278.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1279.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1280.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1281.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1282.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1283.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1284.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1285.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1286.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1287.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1288.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1289.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1290.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1291.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1292.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1293.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1294.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1295.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1296.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1297.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1298.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1299.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1300.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1301.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1302.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1303.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1304.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1305.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1306.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1307.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1308.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1309.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1310.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1311.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1312.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1313.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1314.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1315.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1316.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1317.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1318.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1319.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1320.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1321.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1322.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1323.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1324.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1325.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1326.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1327.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1328.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1329.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1330.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1331.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1332.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1333.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1334.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1335.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1336.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1337.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1338.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1339.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1340.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1341.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1342.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1343.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1344.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1345.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1346.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1347.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1348.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1349.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1350.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1351.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1352.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1353.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1354.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1355.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1356.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1357.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1358.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1359.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1360.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1361.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1362.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1363.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1364.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1365.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1366.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1367.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1368.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1369.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1370.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1371.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1372.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1373.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1374.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1375.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1376.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1377.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1378.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1379.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1380.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1381.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1382.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1383.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1384.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1385.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1386.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1387.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1388.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1389.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1390.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1391.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1392.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1393.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1394.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1395.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1396.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1397.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1398.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1399.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1400.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1401.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1402.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1403.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1404.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1405.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1406.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1407.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1408.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1409.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1410.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1411.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1412.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1413.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1414.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1415.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1416.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1417.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1418.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1419.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1420.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1421.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1422.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1423.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1424.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1425.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1426.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1427.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1428.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1429.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1430.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1431.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1432.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1433.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1434.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1435.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1436.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1437.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1438.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1439.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1440.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1441.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1442.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1443.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1444.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1445.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1446.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1447.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1448.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1449.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1450.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1451.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1452.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1453.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1454.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1455.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1456.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1457.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1458.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1459.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1460.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1461.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1462.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1463.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1464.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1465.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1466.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1467.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1468.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1469.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1470.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1471.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1472.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1473.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1474.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1475.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1476.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1477.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1478.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1479.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1480.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1481.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1482.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1483.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1484.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1485.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1486.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1487.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1488.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1489.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1490.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1491.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1492.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1493.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1494.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1495.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1496.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1497.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1498.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1499.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1500.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1501.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1502.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1503.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1504.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1505.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1506.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1507.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1508.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1509.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1510.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1511.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1512.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1513.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1514.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1515.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1516.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1517.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1518.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1519.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1520.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1521.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1522.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1523.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1524.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1525.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1526.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1527.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1528.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1529.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1530.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1531.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1532.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1533.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1534.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1535.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1536.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1537.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1538.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1539.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1540.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1541.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1542.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1543.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1544.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1545.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1546.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1547.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1548.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1549.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1550.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1551.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1552.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1553.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1554.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1555.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1556.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1557.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1558.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1559.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1560.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1561.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1562.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1563.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1564.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1565.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1566.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1567.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1568.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1569.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1570.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1571.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1572.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1573.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1574.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1575.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1576.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1577.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1578.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1579.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1580.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1581.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1582.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1583.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1584.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1585.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1586.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1587.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1588.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1589.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1590.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1591.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1592.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1593.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1594.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1595.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1596.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1597.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1598.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1599.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1600.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1601.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1602.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1603.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1604.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1605.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1606.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1607.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1608.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1609.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1610.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1611.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1612.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1613.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1614.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1615.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1616.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1617.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1618.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1619.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1620.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1621.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1622.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1623.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1624.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1625.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1626.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1627.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1628.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1629.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1630.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1631.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1632.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1633.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1634.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1635.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1636.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1637.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1638.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1639.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1640.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1641.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1642.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1643.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1644.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1645.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1646.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1647.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1648.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1649.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1650.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1651.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1652.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1653.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1654.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1655.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1656.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1657.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1658.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1659.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1660.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1661.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1662.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1663.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1664.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1665.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1666.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1667.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1668.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1669.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1670.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1671.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1672.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1673.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1674.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1675.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1676.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1677.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1678.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1679.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1680.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1681.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1682.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1683.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1684.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1685.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1686.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1687.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1688.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1689.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1690.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1691.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1692.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1693.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1694.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1695.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1696.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1697.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1698.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1699.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1700.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1701.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1702.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1703.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1704.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1705.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1706.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1707.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1708.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1709.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1710.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1711.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1712.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1713.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1714.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1715.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1716.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1717.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1718.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1719.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1720.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1721.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1722.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1723.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1724.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1725.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1726.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1727.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1728.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1729.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1730.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1731.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1732.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1733.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1734.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1735.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1736.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1737.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1738.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1739.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1740.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1741.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1742.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1743.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1744.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1745.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1746.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1747.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1748.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1749.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1750.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1751.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1752.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1753.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1754.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1755.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1756.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1757.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1758.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1759.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1760.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1761.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1762.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1763.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1764.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1765.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1766.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1767.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1768.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1769.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1770.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1771.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1772.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1773.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1774.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1775.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1776.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1777.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1778.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1779.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1780.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1781.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1782.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1783.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1784.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1785.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1786.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1787.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1788.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1789.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1790.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1791.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1792.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1793.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1794.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1795.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1796.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1797.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1798.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1799.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1800.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1801.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1802.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1803.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1804.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1805.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1806.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1807.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1808.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1809.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1810.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1811.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1812.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1813.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1814.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1815.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1816.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1817.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1818.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1819.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1820.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1821.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1822.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1823.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1824.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1825.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1826.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1827.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1828.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1829.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1830.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1831.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1832.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1833.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1834.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1835.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1836.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1837.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1838.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1839.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1840.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1841.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1842.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1843.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1844.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1845.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1846.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1847.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1848.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1849.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1850.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1851.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1852.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1853.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1854.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1855.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1856.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1857.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1858.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1859.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1860.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1861.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1862.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1863.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1864.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1865.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1866.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1867.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1868.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1869.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1870.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1871.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1872.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1873.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1874.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1875.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1876.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1877.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1878.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1879.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1880.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1881.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1882.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1883.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1884.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1885.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1886.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1887.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1888.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1889.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1890.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1891.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1892.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1893.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1894.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1895.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1896.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1897.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1898.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1899.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1900.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1901.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1902.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1903.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1904.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1905.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1906.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1907.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1908.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1909.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1910.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1911.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1912.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1913.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1914.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1915.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1916.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1917.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1918.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1919.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1920.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1921.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1922.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1923.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1924.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1925.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1926.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1927.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1928.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1929.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1930.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1931.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1932.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1933.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1934.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1935.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1936.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1937.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1938.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1939.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1940.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1941.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1942.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1943.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1944.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1945.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1946.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1947.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1948.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1949.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1950.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1951.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1952.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1953.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1954.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1955.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1956.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1957.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1958.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1959.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1960.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1961.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1962.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1963.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1964.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1965.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1966.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1967.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1968.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1969.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1970.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1971.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1972.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1973.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1974.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1975.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1976.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1977.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1978.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1979.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1980.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1981.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1982.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1983.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1984.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1985.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1986.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1987.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1988.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1989.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1990.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1991.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1992.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1993.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1994.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1995.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1996.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1997.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1998.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/1999.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2000.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2001.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2002.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2003.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2004.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2005.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2006.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2007.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2008.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2009.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2010.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2011.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2012.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2013.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2014.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2015.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2016.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2017.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2018.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2019.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2020.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2021.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2022.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2023.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2024.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2025.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2026.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2027.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2028.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2029.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2030.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2031.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2032.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2033.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2034.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2035.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2036.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2037.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2038.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2039.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2040.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2041.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2042.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2043.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2044.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2045.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2046.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2047.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2048.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2049.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2050.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2051.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2052.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2053.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2054.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2055.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2056.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2057.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2058.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2059.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2060.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2061.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2062.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2063.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2064.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2065.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2066.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2067.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2068.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2069.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2070.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2071.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2072.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2073.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2074.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2075.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2076.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2077.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2078.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2079.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2080.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2081.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2082.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2083.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2084.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2085.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2086.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2087.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2088.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2089.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2090.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2091.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2092.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2093.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2094.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2095.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2096.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2097.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2098.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2099.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2100.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2101.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2102.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2103.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2104.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2105.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2106.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2107.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2108.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2109.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2110.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2111.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2112.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2113.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2114.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2115.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2116.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2117.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2118.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2119.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2120.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2121.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2122.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2123.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2124.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2125.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2126.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2127.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2128.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2129.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2130.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2131.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2132.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2133.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2134.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2135.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2136.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2137.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2138.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2139.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2140.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2141.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2142.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2143.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2144.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2145.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2146.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2147.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2148.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2149.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2150.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2151.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2152.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2153.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2154.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2155.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2156.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2157.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2158.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2159.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2160.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2161.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2162.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2163.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2164.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2165.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2166.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2167.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2168.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2169.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2170.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2171.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2172.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2173.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2174.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2175.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2176.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2177.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2178.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2179.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2180.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2181.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2182.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2183.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2184.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2185.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2186.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2187.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2188.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2189.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2190.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2191.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2192.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2193.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2194.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2195.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2196.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2197.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2198.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2199.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2200.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2201.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2202.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2203.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2204.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2205.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2206.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2207.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2208.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2209.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2210.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2211.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2212.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2213.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2214.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2215.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2216.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2217.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2218.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2219.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2220.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2221.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2222.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2223.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2224.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2225.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2226.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2227.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2228.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2229.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2230.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2231.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2232.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2233.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2234.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2235.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2236.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2237.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2238.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2239.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2240.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2241.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2242.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2243.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2244.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2245.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2246.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2247.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2248.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2249.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2250.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2251.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2252.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2253.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2254.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2255.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2256.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2257.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2258.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2259.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2260.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2261.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2262.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2263.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2264.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2265.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2266.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2267.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2268.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2269.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2270.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2271.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2272.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2273.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2274.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2275.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2276.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2277.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2278.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2279.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2280.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2281.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2282.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2283.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2284.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2285.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2286.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2287.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2288.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2289.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2290.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2291.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2292.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2293.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2294.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2295.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2296.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2297.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2298.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2299.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2300.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2301.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2302.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2303.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2304.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2305.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2306.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2307.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2308.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2309.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2310.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2311.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2312.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2313.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2314.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2315.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2316.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2317.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2318.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2319.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2320.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2321.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2322.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2323.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2324.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2325.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2326.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2327.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2328.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2329.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2330.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2331.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2332.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2333.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2334.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2335.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2336.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2337.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2338.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2339.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2340.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2341.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2342.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2343.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2344.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2345.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2346.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2347.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2348.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2349.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2350.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2351.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2352.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2353.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2354.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2355.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2356.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2357.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2358.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2359.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2360.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2361.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2362.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2363.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2364.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2365.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2366.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2367.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2368.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2369.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2370.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2371.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2372.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2373.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2374.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2375.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2376.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2377.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2378.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2379.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2380.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2381.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2382.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2383.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2384.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2385.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2386.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2387.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2388.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2389.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2390.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2391.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2392.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2393.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2394.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2395.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2396.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2397.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2398.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2399.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2400.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2401.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2402.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2403.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2404.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2405.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2406.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2407.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2408.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2409.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2410.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2411.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2412.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2413.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2414.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2415.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2416.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2417.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2418.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2419.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2420.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2421.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2422.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2423.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2424.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2425.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2426.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2427.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2428.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2429.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2430.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2431.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2432.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2433.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2434.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2435.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2436.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2437.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2438.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2439.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2440.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2441.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2442.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2443.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2444.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2445.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2446.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2447.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2448.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2449.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2450.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2451.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2452.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2453.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2454.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2455.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2456.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2457.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2458.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2459.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2460.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2461.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2462.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2463.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2464.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2465.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2466.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2467.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2468.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2469.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2470.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2471.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2472.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2473.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2474.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2475.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2476.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2477.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2478.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2479.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2480.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2481.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2482.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2483.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2484.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2485.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2486.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2487.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2488.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2489.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2490.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2491.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2492.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2493.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2494.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2495.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2496.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2497.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2498.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2499.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2500.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2501.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2502.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2503.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2504.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2505.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2506.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2507.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2508.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2509.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2510.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2511.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2512.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2513.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2514.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2515.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2516.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2517.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2518.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2519.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2520.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2521.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2522.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2523.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2524.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2525.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2526.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2527.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2528.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2529.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2530.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2531.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2532.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2533.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2534.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2535.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2536.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2537.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2538.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2539.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2540.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2541.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2542.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2543.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2544.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2545.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2546.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2547.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2548.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2549.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2550.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2551.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2552.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2553.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2554.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2555.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2556.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2557.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2558.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2559.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2560.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2561.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2562.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2563.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2564.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2565.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2566.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2567.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2568.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2569.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2570.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2571.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2572.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2573.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2574.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2575.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2576.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2577.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2578.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2579.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2580.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2581.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2582.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2583.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2584.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2585.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2586.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2587.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2588.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2589.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2590.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2591.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2592.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2593.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2594.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2595.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2596.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2597.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2598.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2599.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2600.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2601.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2602.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2603.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2604.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2605.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2606.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2607.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2608.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2609.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2610.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2611.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2612.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2613.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2614.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2615.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2616.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2617.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2618.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2619.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2620.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2621.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2622.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2623.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2624.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2625.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2626.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2627.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2628.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2629.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2630.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2631.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2632.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2633.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2634.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2635.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2636.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2637.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2638.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2639.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2640.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2641.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2642.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2643.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2644.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2645.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2646.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2647.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2648.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2649.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2650.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2651.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2652.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2653.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2654.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2655.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2656.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2657.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2658.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2659.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2660.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2661.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2662.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2663.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2664.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2665.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2666.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2667.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2668.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2669.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2670.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2671.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2672.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2673.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2674.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2675.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2676.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2677.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2678.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2679.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2680.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2681.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2682.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2683.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2684.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2685.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2686.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2687.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2688.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2689.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2690.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2691.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2692.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2693.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2694.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2695.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2696.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2697.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2698.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2699.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2700.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2701.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2702.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2703.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2704.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2705.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2706.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2707.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2708.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2709.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2710.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2711.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2712.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2713.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2714.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2715.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2716.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2717.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2718.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2719.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2720.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2721.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2722.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2723.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2724.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2725.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2726.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2727.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2728.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2729.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2730.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2731.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2732.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2733.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2734.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2735.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2736.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2737.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2738.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2739.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2740.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2741.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2742.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2743.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2744.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2745.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2746.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2747.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2748.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2749.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2750.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2751.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2752.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2753.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2754.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2755.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2756.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2757.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2758.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2759.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2760.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2761.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2762.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2763.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2764.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2765.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2766.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2767.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2768.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2769.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2770.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2771.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2772.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2773.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2774.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2775.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2776.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2777.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2778.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2779.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2780.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2781.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2782.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2783.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2784.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2785.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2786.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2787.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2788.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2789.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2790.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2791.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2792.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2793.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2794.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2795.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2796.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2797.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2798.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2799.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2800.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2801.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2802.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2803.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2804.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2805.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2806.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2807.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2808.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2809.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2810.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2811.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2812.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2813.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2814.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2815.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2816.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2817.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2818.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2819.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2820.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2821.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2822.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2823.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2824.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2825.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2826.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2827.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2828.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2829.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2830.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2831.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2832.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2833.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2834.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2835.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2836.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2837.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2838.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2839.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2840.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2841.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2842.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2843.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2844.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2845.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2846.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2847.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2848.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2849.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2850.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2851.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2852.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2853.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2854.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2855.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2856.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2857.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2858.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2859.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2860.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2861.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2862.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2863.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2864.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2865.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2866.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2867.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2868.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2869.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2870.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2871.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2872.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2873.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2874.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2875.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2876.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2877.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2878.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2879.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2880.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2881.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2882.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2883.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2884.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2885.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2886.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2887.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2888.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2889.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2890.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2891.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2892.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2893.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2894.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2895.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2896.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2897.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2898.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2899.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2900.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2901.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2902.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2903.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2904.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2905.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2906.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2907.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2908.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2909.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2910.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2911.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2912.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2913.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2914.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2915.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2916.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2917.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2918.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2919.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2920.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2921.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2922.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2923.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2924.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2925.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2926.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2927.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2928.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2929.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2930.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2931.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2932.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2933.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2934.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2935.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2936.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2937.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2938.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2939.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2940.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2941.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2942.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2943.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2944.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2945.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2946.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2947.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2948.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2949.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2950.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2951.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2952.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2953.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2954.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2955.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2956.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2957.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2958.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2959.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2960.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2961.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2962.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2963.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2964.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2965.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2966.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2967.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2968.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2969.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2970.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2971.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2972.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2973.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2974.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2975.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2976.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2977.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2978.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2979.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2980.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2981.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2982.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2983.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2984.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2985.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2986.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2987.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2988.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2989.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2990.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2991.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2992.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2993.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2994.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2995.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2996.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2997.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2998.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/2999.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3000.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3001.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3002.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3003.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3004.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3005.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3006.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3007.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3008.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3009.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3010.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3011.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3012.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3013.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3014.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3015.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3016.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3017.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3018.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3019.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3020.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3021.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3022.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3023.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3024.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3025.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3026.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3027.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3028.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3029.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3030.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3031.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3032.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3033.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3034.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3035.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3036.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3037.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3038.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3039.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3040.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3041.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3042.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3043.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3044.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3045.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3046.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3047.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3048.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3049.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3050.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3051.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3052.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3053.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3054.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3055.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3056.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3057.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3058.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3059.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3060.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3061.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3062.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3063.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3064.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3065.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3066.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3067.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3068.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3069.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3070.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3071.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3072.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3073.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3074.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3075.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3076.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3077.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3078.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3079.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3080.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3081.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3082.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3083.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3084.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3085.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3086.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3087.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3088.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3089.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3090.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3091.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3092.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3093.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3094.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3095.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3096.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3097.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3098.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3099.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3100.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3101.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3102.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3103.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3104.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3105.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3106.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3107.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3108.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3109.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3110.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3111.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3112.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3113.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3114.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3115.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3116.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3117.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3118.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3119.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3120.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3121.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3122.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3123.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3124.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3125.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3126.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3127.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3128.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3129.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3130.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3131.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3132.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3133.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3134.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3135.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3136.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3137.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3138.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3139.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3140.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3141.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3142.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3143.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3144.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3145.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3146.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3147.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3148.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3149.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3150.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3151.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3152.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3153.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3154.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3155.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3156.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3157.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3158.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3159.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3160.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3161.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3162.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3163.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3164.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3165.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3166.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3167.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3168.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3169.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3170.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3171.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3172.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3173.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3174.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3175.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3176.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3177.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3178.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3179.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3180.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3181.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3182.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3183.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3184.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3185.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3186.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3187.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3188.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3189.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3190.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3191.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3192.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3193.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3194.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3195.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3196.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3197.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3198.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3199.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3200.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3201.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3202.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3203.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3204.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3205.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3206.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3207.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3208.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3209.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3210.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3211.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3212.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3213.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3214.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3215.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3216.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3217.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3218.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3219.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3220.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3221.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3222.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3223.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3224.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3225.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3226.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3227.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3228.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3229.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3230.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3231.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3232.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3233.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3234.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3235.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3236.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3237.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3238.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3239.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3240.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3241.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3242.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3243.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3244.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3245.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3246.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3247.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3248.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3249.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3250.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3251.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3252.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3253.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3254.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3255.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3256.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3257.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3258.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3259.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3260.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3261.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3262.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3263.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3264.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3265.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3266.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3267.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3268.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3269.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3270.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3271.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3272.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3273.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3274.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3275.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3276.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3277.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3278.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3279.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3280.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3281.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3282.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3283.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3284.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3285.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3286.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3287.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3288.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3289.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3290.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3291.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3292.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3293.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3294.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3295.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3296.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3297.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3298.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3299.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3300.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3301.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3302.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3303.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3304.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3305.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3306.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3307.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3308.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3309.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3310.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3311.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3312.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3313.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3314.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3315.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3316.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3317.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3318.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3319.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3320.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3321.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3322.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3323.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3324.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3325.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3326.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3327.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3328.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3329.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3330.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3331.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3332.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3333.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3334.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3335.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3336.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3337.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3338.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3339.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3340.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3341.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3342.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3343.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3344.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3345.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3346.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3347.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3348.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3349.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3350.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3351.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3352.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3353.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3354.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3355.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3356.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3357.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3358.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3359.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3360.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3361.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3362.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3363.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3364.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3365.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3366.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3367.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3368.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3369.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3370.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3371.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3372.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3373.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3374.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3375.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3376.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3377.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3378.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3379.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3380.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3381.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3382.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3383.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3384.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3385.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3386.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3387.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3388.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3389.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3390.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3391.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3392.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3393.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3394.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3395.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3396.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3397.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3398.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3399.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3400.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3401.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3402.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3403.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3404.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3405.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3406.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3407.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3408.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3409.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3410.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3411.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3412.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3413.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3414.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3415.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3416.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3417.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3418.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3419.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3420.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3421.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3422.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3423.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3424.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3425.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3426.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3427.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3428.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3429.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3430.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3431.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3432.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3433.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3434.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3435.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3436.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3437.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3438.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3439.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3440.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3441.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3442.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3443.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3444.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3445.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3446.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3447.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3448.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3449.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3450.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3451.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3452.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3453.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3454.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3455.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3456.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3457.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3458.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3459.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3460.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3461.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3462.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3463.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3464.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3465.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3466.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3467.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3468.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3469.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3470.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3471.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3472.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3473.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3474.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3475.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3476.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3477.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3478.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3479.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3480.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3481.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3482.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3483.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3484.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3485.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3486.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3487.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3488.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3489.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3490.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3491.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3492.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3493.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3494.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3495.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3496.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3497.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3498.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3499.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3500.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3501.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3502.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3503.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3504.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3505.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3506.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3507.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3508.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3509.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3510.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3511.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3512.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3513.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3514.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3515.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3516.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3517.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3518.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3519.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3520.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3521.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3522.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3523.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3524.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3525.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3526.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3527.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3528.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3529.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3530.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3531.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3532.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3533.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3534.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3535.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3536.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3537.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3538.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3539.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3540.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3541.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3542.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3543.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3544.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3545.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3546.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3547.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3548.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3549.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3550.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3551.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3552.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3553.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3554.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3555.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3556.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3557.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3558.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3559.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3560.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3561.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3562.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3563.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3564.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3565.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3566.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3567.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3568.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3569.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3570.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3571.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3572.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3573.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3574.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3575.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3576.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3577.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3578.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3579.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3580.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3581.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3582.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3583.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3584.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3585.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3586.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3587.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3588.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3589.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3590.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3591.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3592.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3593.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3594.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3595.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3596.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3597.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3598.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3599.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3600.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3601.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3602.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3603.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3604.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3605.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3606.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3607.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3608.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3609.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3610.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3611.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3612.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3613.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3614.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3615.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3616.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3617.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3618.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3619.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3620.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3621.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3622.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3623.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3624.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3625.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3626.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3627.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3628.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3629.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3630.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3631.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3632.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3633.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3634.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3635.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3636.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3637.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3638.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3639.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3640.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3641.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3642.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3643.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3644.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3645.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3646.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3647.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3648.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3649.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3650.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3651.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3652.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3653.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3654.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3655.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3656.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3657.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3658.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3659.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3660.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3661.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3662.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3663.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3664.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3665.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3666.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3667.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3668.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3669.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3670.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3671.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3672.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3673.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3674.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3675.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3676.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3677.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3678.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3679.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3680.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3681.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3682.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3683.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3684.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3685.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3686.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3687.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3688.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3689.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3690.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3691.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3692.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3693.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3694.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3695.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3696.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3697.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3698.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3699.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3700.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3701.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3702.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3703.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3704.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3705.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3706.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3707.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3708.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3709.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3710.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3711.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3712.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3713.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3714.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3715.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3716.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3717.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3718.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3719.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3720.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3721.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3722.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3723.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3724.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3725.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3726.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3727.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3728.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3729.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3730.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3731.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3732.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/3733.tar
\ No newline at end of file
diff --git a/src/data/gather_cc.py b/src/data/gather_cc.py
deleted file mode 100644
index 44da701..0000000
--- a/src/data/gather_cc.py
+++ /dev/null
@@ -1,93 +0,0 @@
-import requests
-import os
-import multiprocessing as mp
-from io import BytesIO
-import numpy as np
-import PIL
-from PIL import Image
-import pickle
-import sys
-
-
-def grab(line):
-    """
-    Download a single image from the TSV.
-    """
-    uid, split, line = line
-    try:
-        caption, url = line.split("\t")[:2]
-    except:
-        print("Parse error")
-        return
-
-    if os.path.exists(ROOT+"/%s/%d/%d.jpg"%(split,uid%1000,uid)):
-        print("Finished", uid)
-        return uid, caption, url
-
-    # Let's not crash if anythign weird happens
-    try:
-        dat = requests.get(url, timeout=20)
-        if dat.status_code != 200:
-            print("404 file", url)
-            return
-
-        # Try to parse this as an Image file, we'll fail out if not
-        im = Image.open(BytesIO(dat.content))
-        im.thumbnail((512, 512), PIL.Image.BICUBIC)
-        if min(*im.size) < max(*im.size)/3:
-            print("Too small", url)
-            return
-
-        im.save(ROOT+"/%s/%d/%d.jpg"%(split,uid%1000,uid))
-
-        # Another try/catch just because sometimes saving and re-loading
-        # the image is different than loading it once.
-        try:
-            o = Image.open(ROOT+"/%s/%d/%d.jpg"%(split,uid%1000,uid))
-            o = np.array(o)
-
-            print("Success", o.shape, uid, url)
-            return uid, caption, url
-        except:
-            print("Failed", uid, url)
-            
-    except Exception as e:
-        print("Unknown error", e)
-        pass
-
-if __name__ == "__main__":
-    ROOT = "cc_data"
-
-    if not os.path.exists(ROOT):
-        os.mkdir(ROOT)
-        os.mkdir(os.path.join(ROOT,"train"))
-        os.mkdir(os.path.join(ROOT,"val"))
-        for i in range(1000):
-            os.mkdir(os.path.join(ROOT,"train", str(i)))
-            os.mkdir(os.path.join(ROOT,"val", str(i)))
-
-    
-    p = mp.Pool(300)
-    
-    for tsv in sys.argv[1:]:
-        print("Processing file", tsv)
-        assert 'val' in tsv.lower() or 'train' in tsv.lower()
-        split = 'val' if 'val' in tsv.lower() else 'train'
-        results = p.map(grab,
-                        [(i,split,x) for i,x in enumerate(open(tsv).read().split("\n"))])
-        
-        out = open(tsv.replace(".tsv","_output.csv"),"w")
-        out.write("title\tfilepath\n")
-        
-        for row in results:
-            if row is None: continue
-            id, caption, url = row
-            fp = os.path.join(ROOT, split, str(id % 1000), str(id) + ".jpg")
-            if os.path.exists(fp):
-                out.write("%s\t%s\n"%(caption,fp))
-            else:
-                print("Drop", id)
-        out.close()
-        
-    p.close()
-
diff --git a/src/dev.py b/src/dev.py
deleted file mode 100644
index 09e61d9..0000000
--- a/src/dev.py
+++ /dev/null
@@ -1,248 +0,0 @@
-# from training.data import *
-# from easydict import EasyDict as edict
-# from open_clip import create_model_and_transforms, trace_model, create_model
-# from training.distributed import is_master, init_distributed_device, world_info_from_env
-# from training.params import parse_args
-
-# #     --save-frequency 1 \
-# #     --zeroshot-frequency 1 \
-# #     --dataset-type="toy" \
-# #     --train-data="/mnt/audio_clip/test/data/indexes/balanced_train.h5"  \
-# #     --val-data="/mnt/audio_clip/test/data/indexes/eval.h5"  \
-# #     --train-ipc="/mnt/audio_clip/test/data/train_ipc.npy" \
-# #     --val-ipc="/mnt/audio_clip/test/data/val_ipc.npy" \
-# #     --csv-img-key filepath \
-# #     --csv-caption-key title \
-# #     --precision="fp32" \
-# #     --warmup 10000 \
-# #     --batch-size=32 \
-# #     --lr=1e-3 \
-# #     --wd=0.1 \
-# #     --epochs=30 \
-# #     --workers=8 \
-# #     --model PANN-14
-# args = parse_args()
-# device = init_distributed_device(args)
-# args.train_data = ["/mnt/audio_clip/webdataset_tar/audioset/unbalanced_train/0.tar", "/mnt/audio_clip/webdataset_tar/audioset/unbalanced_train/1.tar"]
-# model, model_cfg = create_model(
-#     args.model,
-#     args.pretrained,
-#     precision=args.precision,
-#     device=device,
-#     jit=args.torchscript,
-#     force_quick_gelu=args.force_quick_gelu
-# )
-
-# data = get_wds_dataset(args, model_cfg, is_train=True)
-
-# dl = data.dataloader
-# for i, batch in enumerate(dl):
-#     # print(i, batch)
-#     # print("batch.keys", batch.keys())
-#     # # 'hdf5_path', 'index_in_hdf5', 'audio_name', 'waveform', 'target', 'text'
-#     # print("hdf5_path", batch["hdf5_path"])
-#     # print("index_in_hdf5", batch["index_in_hdf5"])
-#     # print("audio_name", batch["audio_name"])
-#     # print("waveform", batch["waveform"])
-#     # print("waveform.shape", batch["waveform"].shape)
-#     # print("target", batch["target"])
-#     # print("target.shape", batch["target"].shape)
-#     # print("text", batch["text"])
-#     # print("text.shape", batch["text"].shape)
-#     print("osr", batch[-1])
-#     print()
-#     break
-
-import webdataset as wds
-import soundfile as sf
-import io
-import os
-import random
-import copy
-from tqdm import tqdm
-import s3fs
-import numpy as np
-import shutil
-import json
-from open_clip.utils import load_p
-import logging
-lp_class_label = load_p("audioset_class_labels_indices.pkl")
-
-def log_and_continue(exn):
-    """Call in an exception handler to ignore any exception, isssue a warning, and continue."""
-    logging.warning(f"Handling webdataset error ({repr(exn)}). Ignoring.")
-    return True
-
-def preprocess(
-    sample,
-):
-    """
-    Preprocess a single sample for wdsdataloader.
-    """
-    keys = list(sample.keys())
-    audio_ext = "flac"
-    audio_data, orig_sr = sf.read(io.BytesIO(sample[audio_ext]))
-    sample["waveform"] = audio_data
-    json_dict_raw = json.loads(sample["json"].decode("utf-8"))
-    sample["multi_class_label"] = np.zeros(len(lp_class_label))
-    for x in json_dict_raw["class_names"]:
-        sample["multi_class_label"][lp_class_label[x]] = 1
-    return sample
-
-
-# def check(j):
-#     input_shards = ["/mnt/audio_clip/webdataset_tar/audioset/unbalanced_train/"+str(i)+".tar" for i in range(j,3735)]
-#     # input_shards = ["/mnt/audio_clip/webdataset_tar/audioset/unbalanced_train/"+str(i)+".tar" for i in range(38,56)]
-#     # input_shards = ["/mnt/audio_clip/webdataset_tar/audioset/eval/28.tar"]
-#     pipeline = [wds.SimpleShardList(input_shards)]
-#     _SHARD_SHUFFLE_SIZE = 2000
-#     _SHARD_SHUFFLE_INITIAL = 500
-#     _SAMPLE_SHUFFLE_SIZE = 5000
-#     _SAMPLE_SHUFFLE_INITIAL = 1000
-#     pipeline.extend([
-#         # wds.detshuffle(bufsize=_SHARD_SHUFFLE_SIZE, initial=_SHARD_SHUFFLE_INITIAL),
-#         wds.split_by_node,
-#         wds.split_by_worker,
-#         # at this point, we have an iterator over the shards assigned to each worker at each node
-#         wds.tarfile_to_samples(handler=log_and_continue),
-#         # wds.shuffle(
-#         #     bufsize=_SAMPLE_SHUFFLE_SIZE,
-#         #     initial=_SAMPLE_SHUFFLE_INITIAL,
-#         #     rng=random.Random(1)),
-#         #wds.repeatedly,  # FIXME determine if this is beneficial
-#     ])
-#     pipeline.extend([wds.map(preprocess),wds.to_tuple("__url__", "__key__", "waveform"),wds.batched(1)])
-#     dataset = wds.DataPipeline(*pipeline)
-#     dataloader = wds.WebLoader(dataset, batch_size=1, shuffle=False, num_workers=1)
-#     for i, batch in enumerate(dataloader):
-#         previous_batch = copy.deepcopy(batch)
-#     return previous_batch
-# errors = []
-# j = 279
-# while True:
-#     try:
-#         previous_batch = check(j)
-#     except:
-#         print(int(previous_batch[0][0][0].split("/")[-1].split(".tar")[0])+1)
-#         check(int(previous_batch[0][0][0].split("/")[-1].split(".tar")[0])+1)
-#         errors.append(int(previous_batch[0][0][0].split("/")[-1].split(".tar")[0]))
-#         pass
-# print(errors)
-
-
-# 假设有数据集dataset_all = [‘aaa’, ‘bbb’, ‘ccc’]和他们的split
-# dataset_split = {
-#     "audiocaps": ["train", "valid", "test"],
-#     "audioset": ["balanced_train", "unbalanced_train", "eval"],
-#     "BBCSoundEffects": ["train", "test"],
-#     "Clotho": ["train", "test", "valid"],
-# }
-# for dataset_name in ["audiocaps", "audioset", "BBCSoundEffects", "Clotho"]:
-#     for split in dataset_split[dataset_name]:
-#         if not os.path.exists(f"./json_files/{dataset_name}/{split}"):
-#             os.makedirs(f"./json_files/{dataset_name}/{split}")
-#         os.system(
-#             f"aws s3 cp s3://s-laion-audio/webdataset_tar/{dataset_name}/{split}/sizes.json ./json_files/{dataset_name}/{split}/sizes.json"
-#         )
-
-try:
-    # input_shards = [
-    #     f"pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audioset/unbalanced_train/{i}.tar -"
-    #     for i in range(0, 3734)
-    # ]
-    input_shards = ["file://D:/eval.tar"]
-    # input_shards = ["/mnt/audio_clip/webdataset_tar/audioset/eval/28.tar"]
-    pipeline = [wds.SimpleShardList(input_shards)]
-    _SHARD_SHUFFLE_SIZE = 2000
-    _SHARD_SHUFFLE_INITIAL = 500
-    _SAMPLE_SHUFFLE_SIZE = 5000
-    _SAMPLE_SHUFFLE_INITIAL = 1000
-    pipeline.extend(
-        [
-            # wds.detshuffle(bufsize=_SHARD_SHUFFLE_SIZE, initial=_SHARD_SHUFFLE_INITIAL),
-            wds.split_by_node,
-            wds.split_by_worker,
-            # at this point, we have an iterator over the shards assigned to each worker at each node
-            wds.tarfile_to_samples(handler=log_and_continue),
-            # wds.shuffle(
-            #     bufsize=_SAMPLE_SHUFFLE_SIZE,
-            #     initial=_SAMPLE_SHUFFLE_INITIAL,
-            #     rng=random.Random(1)),
-            # wds.repeatedly,  # FIXME determine if this is beneficial
-        ]
-    )
-    pipeline.extend(
-        [
-            wds.map(preprocess),
-            wds.to_tuple("__url__", "__key__", "waveform", "multi_class_label"),
-            wds.batched(1),
-        ]
-    )
-    dataset = wds.DataPipeline(*pipeline)
-    dataloader = wds.WebLoader(dataset, batch_size=2, shuffle=False, num_workers=0)
-    old_k = 0
-    old_batch = None
-    for k, batch in tqdm(enumerate(dataloader)):
-        print(k)
-        old_k = k
-        old_batch = copy.deepcopy(batch)
-        print(batch)
-except:
-    print(old_k)
-    print(old_batch)
-    pass
-# for i in tqdm(reversed(range(1226 * 2, 1226 * 3 + 1))):
-#     try:
-#         input_shards = [
-#             f"pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/test/{i}.tar -",
-#         ]
-#         # input_shards = ["/mnt/audio_clip/webdataset_tar/audioset/eval/28.tar"]
-#         pipeline = [wds.SimpleShardList(input_shards)]
-#         _SHARD_SHUFFLE_SIZE = 2000
-#         _SHARD_SHUFFLE_INITIAL = 500
-#         _SAMPLE_SHUFFLE_SIZE = 5000
-#         _SAMPLE_SHUFFLE_INITIAL = 1000
-#         pipeline.extend(
-#             [
-#                 # wds.detshuffle(bufsize=_SHARD_SHUFFLE_SIZE, initial=_SHARD_SHUFFLE_INITIAL),
-#                 wds.split_by_node,
-#                 wds.split_by_worker,
-#                 # at this point, we have an iterator over the shards assigned to each worker at each node
-#                 wds.tarfile_to_samples(handler=log_and_continue),
-#                 # wds.shuffle(
-#                 #     bufsize=_SAMPLE_SHUFFLE_SIZE,
-#                 #     initial=_SAMPLE_SHUFFLE_INITIAL,
-#                 #     rng=random.Random(1)),
-#                 # wds.repeatedly,  # FIXME determine if this is beneficial
-#             ]
-#         )
-#         pipeline.extend(
-#             [
-#                 wds.map(preprocess),
-#                 wds.to_tuple("__url__", "__key__", "waveform"),
-#                 wds.batched(1),
-#             ]
-#         )
-#         dataset = wds.DataPipeline(*pipeline)
-#         dataloader = wds.WebLoader(dataset, batch_size=1, shuffle=False, num_workers=0)
-#         for k, batch in enumerate(dataloader):
-#             previous_batch = copy.deepcopy(batch)
-#             print(batch)
-#     except:
-#         # print(i)
-#         # print(previous_batch)
-#         pass
-
-# main training loop
-# generator = iter(dataloader)
-# for i in range(9999999999999):
-#     try:
-#         # Samples the batch
-#         if i>0:
-#             previous = copy.deepcopy(batch)
-#         batch = next(generator)
-#         print(batch)
-#     except:
-#         errors.append(previous)
-#         pass
-# print(errors)
diff --git a/src/evaluate/gen_csv.py b/src/evaluate/gen_csv.py
deleted file mode 100644
index 4ecb2e3..0000000
--- a/src/evaluate/gen_csv.py
+++ /dev/null
@@ -1,228 +0,0 @@
-import argparse
-import torch
-import torch.nn as nn
-import torch.nn.functional as F
-import torch.backends.cudnn as cudnn
-from open_clip import create_model
-from open_clip import tokenize
-import glob
-import json
-import librosa
-from tqdm import tqdm
-import numpy as np
-import pandas as pd
-import os
-
-
-def get_output_from_single_audio(audio, text, model, device):
-    audio_embedding = model.audio_infer(audio, hopsize=5 * 48000, key="embedding", device=device)[
-        "embedding"
-    ]
-    if audio_embedding.ndim > 1:
-        audio_embedding = audio_embedding.mean(dim=0, keepdim=True)
-    audio_features = model.audio_projection(audio_embedding)
-    audio_features = F.normalize(audio_features, dim=-1)
-    text_features = model.encode_text(text)
-    text_features = F.normalize(text_features, dim=-1)
-
-    # CHANGE: before normalize or after
-    audio_features_mlp = model.audio_transform(audio_features)
-    text_features_mlp = model.text_transform(text_features)
-    return (
-        audio_features,
-        text_features,
-        audio_features_mlp,
-        text_features_mlp,
-        model.logit_scale_a.exp(),
-        model.logit_scale_t.exp(),
-    )
-
-
-def get_audio_embeddings(audio, model, device):
-    audio_embedding = model.audio_infer(audio, hopsize=5 * 48000, key="embedding", device=device)[
-        "embedding"
-    ]
-    if audio_embedding.ndim > 1:
-        audio_embedding = audio_embedding.mean(dim=0, keepdim=True)
-    audio_features = model.audio_projection(audio_embedding)
-    audio_features = F.normalize(audio_features, dim=-1)
-    audio_features_mlp = model.audio_transform(audio_features)
-    return audio_features, audio_features_mlp, model.logit_scale_a.exp()
-
-
-def get_text_embeddings(text, model):
-    text_features = model.encode_text(text)
-    text_features = F.normalize(text_features, dim=-1)
-    text_features_mlp = model.text_transform(text_features)
-    return text_features, text_features_mlp, model.logit_scale_t.exp()
-
-
-if __name__ == "__main__":
-    file_dir = "/mnt/audio_clip/dcase/retrieval_audio/test/"
-    audio_files = glob.glob(file_dir + "*")
-    df = pd.read_csv("/mnt/audio_clip/dcase/retrieval_audio/retrieval_captions.csv")
-    captions = list(df["caption"])
-
-    model_path_all = [
-        "/mnt/audio_clip/dcase_submission_systems/2022_05_07-19_16_07-model_HTSAT-tiny-lr_0.001-b_96-j_4-p_fp32/checkpoints/epoch_top_0.pt",
-        "/mnt/audio_clip/dcase_submission_systems/2022_05_07-19_16_07-model_HTSAT-tiny-lr_0.001-b_96-j_4-p_fp32/checkpoints/epoch_top_1.pt",
-        "/mnt/audio_clip/dcase_submission_systems/2022_05_07-19_16_07-model_HTSAT-tiny-lr_0.001-b_96-j_4-p_fp32/checkpoints/epoch_top_2.pt",
-        "/mnt/audio_clip/dcase_submission_systems/2022_06_05-17_53_56-model_HTSAT-tiny-lr_0.001-b_184-j_10-p_fp32/checkpoints/epoch_top_0.pt",
-        "/mnt/audio_clip/dcase_submission_systems/2022_06_05-17_53_56-model_HTSAT-tiny-lr_0.001-b_184-j_10-p_fp32/checkpoints/epoch_top_1.pt",
-        "/mnt/audio_clip/dcase_submission_systems/2022_06_05-17_53_56-model_HTSAT-tiny-lr_0.001-b_184-j_10-p_fp32/checkpoints/epoch_top_2.pt",
-        "/mnt/audio_clip/dcase_submission_systems/2022_05_31-02_55_14-model_HTSAT-tiny-lr_0.001-b_184-j_10-p_fp32/checkpoints/epoch_top_0.pt",
-        "/mnt/audio_clip/dcase_submission_systems/2022_05_31-02_55_14-model_HTSAT-tiny-lr_0.001-b_184-j_10-p_fp32/checkpoints/epoch_top_1.pt",
-        "/mnt/audio_clip/dcase_submission_systems/2022_05_31-02_55_14-model_HTSAT-tiny-lr_0.001-b_184-j_10-p_fp32/checkpoints/epoch_top_2.pt",
-        "/mnt/audio_clip/dcase_submission_systems/2022_06_11-02_55_57-model_HTSAT-tiny-lr_0.001-b_184-j_10-p_fp32/checkpoints/epoch_top_0.pt",
-        "/mnt/audio_clip/dcase_submission_systems/2022_06_11-02_55_57-model_HTSAT-tiny-lr_0.001-b_184-j_10-p_fp32/checkpoints/epoch_top_1.pt",
-        "/mnt/audio_clip/dcase_submission_systems/2022_06_11-02_55_57-model_HTSAT-tiny-lr_0.001-b_184-j_10-p_fp32/checkpoints/epoch_top_2.pt",
-        "/mnt/audio_clip/dcase_submission_systems/2022_06_04-05_56_46-model_PANN-14-lr_0.001-b_184-j_6-p_fp32/checkpoints/epoch_top_0.pt",
-        "/mnt/audio_clip/dcase_submission_systems/2022_06_04-05_56_46-model_PANN-14-lr_0.001-b_184-j_6-p_fp32/checkpoints/epoch_top_1.pt",
-        "/mnt/audio_clip/dcase_submission_systems/2022_06_04-05_56_46-model_PANN-14-lr_0.001-b_184-j_6-p_fp32/checkpoints/epoch_top_2.pt",
-        "/mnt/audio_clip/dcase_submission_systems/2022_06_11-21_01_57-model_PANN-14-lr_0.001-b_184-j_10-p_fp32/checkpoints/epoch_top_0.pt",
-        "/mnt/audio_clip/dcase_submission_systems/2022_06_11-21_01_57-model_PANN-14-lr_0.001-b_184-j_10-p_fp32/checkpoints/epoch_top_1.pt",
-        "/mnt/audio_clip/dcase_submission_systems/2022_06_11-21_01_57-model_PANN-14-lr_0.001-b_184-j_10-p_fp32/checkpoints/epoch_top_2.pt",
-    ]
-    model_type_all = [
-        "HTSAT-tiny",
-        "HTSAT-tiny",
-        "HTSAT-tiny",
-        "HTSAT-tiny",
-        "HTSAT-tiny",
-        "HTSAT-tiny",
-        "HTSAT-tiny",
-        "HTSAT-tiny",
-        "HTSAT-tiny",
-        "HTSAT-tiny",
-        "HTSAT-tiny",
-        "HTSAT-tiny",
-        "PANN-14",
-        "PANN-14",
-        "PANN-14",
-        "PANN-14",
-        "PANN-14",
-        "PANN-14",
-    ]
-
-    clotho_test_preprocessed_dir = "/mnt/audio_clip/processed_datasets/Clotho/test"
-
-    parser = argparse.ArgumentParser()
-    parser.add_argument("--device", type=str, default="cpu")
-    args = parser.parse_args()
-
-    cudnn.benchmark = True
-    cudnn.deterministic = False
-    pretrained = "openai"
-
-    audio_features_ensemble_all = []
-    text_features_ensemble_all = []
-    audio_features_mlp_ensemble_all = []
-    text_features_mlp_ensemble_all = []
-    logit_scale_a_ensemble_all = []
-    logit_scale_t_ensemble_all = []
-    # models = []
-    for model_path, model_type in zip(model_path_all, model_type_all):
-        device = torch.device(args.device)
-        model, model_cfg = create_model(
-            model_type,
-            pretrained,
-            precision="fp32",
-            device=device,
-            jit=False,
-            force_quick_gelu=False,
-        )
-
-        # load model
-        checkpoint = torch.load(model_path, map_location=device)
-        if "epoch" in checkpoint:
-            # resuming a train checkpoint w/ epoch and optimizer state
-            start_epoch = checkpoint["epoch"]
-            sd = checkpoint["state_dict"]
-            if next(iter(sd.items()))[0].startswith("module"):
-                sd = {k[len("module.") :]: v for k, v in sd.items()}
-            model.load_state_dict(sd)
-        else:
-            # loading a bare (model only) checkpoint for fine-tune or evaluation
-            model.load_state_dict(checkpoint)
-
-        model.to(device)
-        model.eval()
-        for param in model.parameters():
-            param.requires_grad = False
-
-        audio_features_all = []
-        text_features_all = []
-        audio_features_mlp_all = []
-        text_features_mlp_all = []
-        logit_scale_a_all = []
-        logit_scale_t_all = []
-
-        with torch.no_grad():
-            for file_path in audio_files:
-                audio, sr = librosa.load(file_path, sr=48000, mono=True)
-                audio = torch.from_numpy(audio).to(device)
-                (
-                    audio_features,
-                    audio_features_mlp,
-                    logit_scale_a,
-                ) = get_audio_embeddings(audio, model,device)
-
-                audio_features_all.append(audio_features)
-                audio_features_mlp_all.append(audio_features_mlp)
-                logit_scale_a_all.append(logit_scale_a)
-
-            for text in captions:
-                text = tokenize(text).to(device)
-                text_features, text_features_mlp, logit_scale_t = get_text_embeddings(
-                    text, model
-                )
-                text_features_all.append(text_features)
-                text_features_mlp_all.append(text_features_mlp)
-                logit_scale_t_all.append(logit_scale_t)
-
-        audio_features_ensemble_all.append(torch.cat(audio_features_all))
-        text_features_ensemble_all.append(torch.cat(text_features_all))
-        audio_features_mlp_ensemble_all.append(torch.cat(audio_features_mlp_all))
-        text_features_mlp_ensemble_all.append(torch.cat(text_features_mlp_all))
-        logit_scale_a_ensemble_all.append(logit_scale_a_all[0])
-        logit_scale_t_ensemble_all.append(logit_scale_t_all[0])
-
-    text_to_audio_logits_ensemble_all = []
-    for i in range(len(model_path_all)):
-        audio_features = audio_features_ensemble_all[i]
-        text_features = text_features_ensemble_all[i]
-        audio_features_mlp = audio_features_mlp_ensemble_all[i]
-        text_features_mlp = text_features_mlp_ensemble_all[i]
-        logit_scale_a = logit_scale_a_ensemble_all[i]
-        logit_scale_t = logit_scale_t_ensemble_all[i]
-
-        a_logits_per_audio = (
-            (logit_scale_a * audio_features @ text_features_mlp.t()).detach().cpu()
-        )
-        a_logits_per_text = a_logits_per_audio.t().detach().cpu()
-        t_logits_per_audio = (
-            (logit_scale_t * audio_features_mlp @ text_features.t()).detach().cpu()
-        )
-        t_logits_per_text = t_logits_per_audio.t().detach().cpu()
-
-        text_to_audio_logits = (a_logits_per_text + t_logits_per_text) / 2
-        text_to_audio_logits_ensemble_all.append(text_to_audio_logits)
-
-    text_to_audio_logits_avg = sum(text_to_audio_logits_ensemble_all) / len(
-        text_to_audio_logits_ensemble_all
-    )
-    ranks = torch.argsort(text_to_audio_logits_avg, dim=1, descending=True)
-    results = []
-    cols = ["caption"] + ["file_name_" + str(p + 1) for p in range(0, 10)]
-    out = pd.DataFrame(columns=cols)
-    for n in range(len(captions)):
-        tmp = {"caption": captions[n]}
-        tmp.update(
-            {
-                "file_name_" + str(p + 1): [os.path.basename(audio_files[ranks[n][p]])]
-                for p in range(0, 10)
-            }
-        )
-        entry = pd.DataFrame.from_dict(tmp)
-        out = pd.concat([out, entry], ignore_index=True)
-    out.to_csv("out.csv", index=False)
diff --git a/src/evaluate/metadata.yaml b/src/evaluate/metadata.yaml
deleted file mode 100644
index 0ae6fdf..0000000
--- a/src/evaluate/metadata.yaml
+++ /dev/null
@@ -1,303 +0,0 @@
-# Submission information for task 6 - subtask B
-submission:
-  # Submission label
-  # Label is used to index submissions.
-  # Generate your label following way to avoid
-  # overlapping codes among submissions:
-  # [Last name of corresponding author]_[Abbreviation of institute of the corresponding author]_task[task number]_[index number of your submission (1-4)]
-  label: Wu_Mila_task6b_1
-  #
-  # Submission name
-  # This name will be used in the results tables when space permits
-  name: DCASE2022 baseline system
-  #
-  # Submission name abbreviated
-  # This abbreviated name will be used in the result table when space is tight.
-  # Use maximum 10 characters.
-abbreviation: CLAP
-
-  # Authors of the submitted system. Mark authors in
-  # the order you want them to appear in submission lists.
-  # One of the authors has to be marked as corresponding author,
-  # this will be listed next to the submission in the results tables.
-  authors:
-    # First author
-    - lastname: Wu
-      firstname: Yusong
-      email: wu.yusong@mila.quebec                    # Contact email address
-      corresponding: true                         # Mark true for one of the authors
-
-      # Affiliation information for the author
-      affiliation:
-        abbreviation: Mila
-        institute: Mila, University of Montreal
-        department: DIRO            # Optional
-        location: Quebec, Canada
-
-    # Second author
-    - lastname: Zhang
-      firstname: Tianyu
-      email: tianyu.zhang@mila.quebec                # Contact email address
-
-      # Affiliation information for the author
-      affiliation:
-        abbreviation: Mila
-        institute: Mila, University of Montreal
-        department: DIRO            # Optional
-        location: Quebec, Canada
-
-    # Third author
-    - lastname: Chen
-      firstname: Ke
-      email: knutchen@ucsd.edu
-
-      # Affiliation information for the author
-      affiliation:
-        abbreviation: UCSD
-        institute: University of California San Diego
-        department: Music
-        location: San Diego, United States
-
-# System information
-system:
-  # System description, meta-data provided here will be used to do
-  # meta analysis of the submitted system.
-  # Use general level tags, when possible use the tags provided in comments.
-  # If information field is not applicable to the system, use "!!null".
-  description:
-    # Audio input / sampling rate
-    # e.g. 16kHz, 22.05kHz, 44.1kHz, 48.0kHz
-    input_sampling_rate: 48.0kHz
-
-    # Acoustic representation
-    # Here you should indicate what can or audio representation
-    # you used. If your system used hand-crafted features (e.g.
-    # mel band energies), then you can do:
-    #
-    # `acoustic_features: mel energies`
-    #
-    # Else, if you used some pre-trained audio feature extractor, 
-    # you can indicate the name of the system, for example:
-    #
-    # `acoustic_features: audioset`
-    acoustic_features: log-mel energies
-
-    # Word embeddings
-    # Here you can indicate how you treated word embeddings.
-    # If your method learned its own word embeddings (i.e. you
-    # did not use any pre-trained word embeddings) then you can
-    # do:
-    #
-    # `word_embeddings: learned`
-    #  
-    # Else, specify the pre-trained word embeddings that you used
-    # (e.g. Word2Vec, BERT, etc).
-    word_embeddings: learned
-
-    # Data augmentation methods
-    # e.g. mixup, time stretching, block mixing, pitch shifting, ...
-    data_augmentation: spec-augmentation
-
-    # Method scheme
-    # Here you should indicate the scheme of the method that you
-    # used. For example:
-    machine_learning_method: cross-modal alignment
-
-    # Learning scheme
-    # Here you should indicate the learning scheme. 
-    # For example, you could specify either
-    # supervised, self-supervised, or even 
-    # reinforcement learning. 
-    learning_scheme: self-supervised
-
-    # Ensemble
-    # Here you should indicate if you used ensemble
-    # of systems or not.
-    ensemble: Yes
-
-    # Audio modelling
-    # Here you should indicate the type of system used for
-    # audio modelling. For example, if you used some stacked CNNs, then
-    # you could do:
-    #
-    # audio_modelling: cnn
-    #
-    # If you used some pre-trained system for audio modelling,
-    # then you should indicate the system used (e.g. COALA, COLA,
-    # transformer).
-    audio_modelling: HTSAT-tiny, PANN-14
-
-    # Word modelling
-    # Similarly, here you should indicate the type of system used
-    # for word modelling. For example, if you used some RNNs,
-    # then you could do: 
-    #
-    # word_modelling: rnn
-    #
-    # If you used some pre-trained system for word modelling,
-    # then you should indicate the system used (e.g. transformer).
-    word_modelling: Transformer
-
-    # Loss function
-    # Here you should indicate the loss function that you employed.
-    loss_function: Contrastive Loss
-
-    # Optimizer
-    # Here you should indicate the name of the optimizer that you
-    # used. 
-    optimizer: AdamW
-
-    # Learning rate
-    # Here you should indicate the learning rate of the optimizer
-    # that you used.
-    learning_rate: 1e-3
-
-    # Gradient clipping
-    # Here you should indicate if you used any gradient clipping. 
-    # You do this by indicating the value used for clipping. Use
-    # 0 for no clipping.
-    gradient_clipping: 0
-
-    # Gradient norm
-    # Here you should indicate the norm of the gradient that you
-    # used for gradient clipping. This field is used only when 
-    # gradient clipping has been employed.
-    gradient_norm: !!null
-
-    # Metric monitored
-    # Here you should report the monitored metric
-    # for optimizing your method. For example, did you
-    # monitored the loss on the validation data (i.e. validation
-    # loss)? Or you monitored the SPIDEr metric? Maybe the training
-    # loss?
-    metric_monitored: text-to-audio-mAP@10
-
-  # System complexity, meta-data provided here will be used to evaluate
-  # submitted systems from the computational load perspective.
-  complexity:
-    # Total amount of parameters used in the acoustic model.
-    # For neural networks, this information is usually given before training process
-    # in the network summary.
-    # For other than neural networks, if parameter count information is not directly
-    # available, try estimating the count as accurately as possible.
-    # In case of ensemble approaches, add up parameters for all subsystems.
-    # In case embeddings are used, add up parameter count of the embedding
-    # extraction networks and classification network
-    # Use numerical value (do not use comma for thousands-separator).
-    total_parameters: 244087786
-
-  # List of datasets used for training the system.
-  # Development-training data is used here only as example.
-  training_datasets:
-    - name: BBC_Sound_Effects, Clotho, AudioCaps, AudioSet, Free_To_Use_Sounds, We_Sound_Effects, We_Sound_Effects, Sonniss_Game_Audio_Effects
-
-      # Dataset access url
-      url: see_report
-
-      # Has audio:
-      has_audio: Yes
-
-      # Has images
-      has_images: No
-
-      # Has video
-      has_video: No
-
-      # Has captions
-      has_captions: Yes
-
-      # Number of captions per audio
-      nb_captions_per_audio: 1
-
-      # Number of audio clips per caption
-      nb_clips_per_caption: 1
-
-      # Total amount durations (in seconds) of audio used
-      total_audio_length: 22159224
-
-      # Total amount of captions used
-      total_captions: 2012395
-
-  # List of datasets used for validating the system, for example, optimizing hyperparameter.
-  # Development-validation data is used here only as example.
-  validation_datasets:
-    - name: Clotho-evaluation
-
-      # Dataset access url
-      url: https://doi.org/10.5281/zenodo.4783391
-
-      # Has audio:
-      has_audio: Yes
-
-      # Has images
-      has_images: No
-
-      # Has video
-      has_video: No
-
-      # Has captions
-      has_captions: Yes
-
-      # Number of captions per audio
-      nb_captions_per_audio: 5
-
-      # Number of audio clips per caption
-      nb_clips_per_caption: 1
-
-      # Total amount durations (in seconds) of audio used
-      total_audio_length: 23636
-
-      # Total amount of captions used
-      total_captions: 1045
-
-  # List of external datasets used in the submission.
-  # Development dataset is used here only as example, list only external datasets
-  external_datasets:
-    # Dataset name
-    - name: BBC_Sound_Effects, AudioCaps, AudioSet, Free_To_Use_Sounds, We_Sound_Effects, We_Sound_Effects, Sonniss_Game_Audio_Effects
-
-      # Dataset access url
-      url: see_report
-
-      # Has audio:
-      has_audio: Yes
-
-      # Has images
-      has_images: No
-
-      # Has video
-      has_video: No
-
-      # Has captions
-      has_captions: Yes
-
-      # Number of captions per audio
-      nb_captions_per_audio: 1
-
-      # Number of audio clips per caption
-      nb_clips_per_caption: 1
-
-      # Total amount durations (in seconds) of audio used
-      total_audio_length: 22072860
-
-      # Total amount of captions used
-      total_captions: 1993200
-
-      # Used for (e.g. audio_modelling, word_modelling, audio_and_word_modelling)
-      used_for: audio_and_word_modelling
-
-      # URL to the source code of the system [optional]
-      source_code: see_report
-
-# System results
-results:
-  development_testing:
-    # System results for development testing split.
-    # Full results are not mandatory, however, they are highly recommended
-    # as they are needed for through analysis of the challenge submissions.
-    # If you are unable to provide all results, also incomplete
-    # results can be reported.
-    R@1: 0.12555023923444977
-    R@5: 0.33454545454545453
-    R@10: 0.4520574162679426
-    mAP@10: 0.21422305764411026
\ No newline at end of file
diff --git a/src/linear_probe_todo.txt b/src/linear_probe_todo.txt
deleted file mode 100644
index cd8664e..0000000
--- a/src/linear_probe_todo.txt
+++ /dev/null
@@ -1,8 +0,0 @@
-1. change the optimizer and scheduler  # lp_main.py 463
-2. change lp_out_ch lp_in_ch # lp_main.py 271 / 279
-3. ddp step before evaluate # lp_train.py 214-218
-4. dataset change and test  # lp_train.py 85 / 236
-5. loss does not need log_softmax/sigmoid
-6. ddp eval # loss.py 183 | # lp_train 215-219
-7. model should be load in args.pretrained
-8. what feature to use
\ No newline at end of file
diff --git a/src/open_clip/model_configs/timm-efficientnetv2_rw_s.json b/src/open_clip/model_configs/timm-efficientnetv2_rw_s.json
deleted file mode 100644
index e07e6be..0000000
--- a/src/open_clip/model_configs/timm-efficientnetv2_rw_s.json
+++ /dev/null
@@ -1,17 +0,0 @@
-{
-    "embed_dim": 768,
-    "vision_cfg": {
-        "timm_model_name": "efficientnetv2_rw_s",
-        "timm_model_pretrained": false,
-        "timm_pool": "abs_attn",
-        "timm_proj": "",
-        "image_size": 288
-    },
-    "text_cfg": {
-        "context_length": 77,
-        "vocab_size": 49408,
-        "width": 768,
-        "heads": 8,
-        "layers": 12
-    }
-}
\ No newline at end of file
diff --git a/src/open_clip/model_configs/timm-resnet50d.json b/src/open_clip/model_configs/timm-resnet50d.json
deleted file mode 100644
index 7bb0957..0000000
--- a/src/open_clip/model_configs/timm-resnet50d.json
+++ /dev/null
@@ -1,17 +0,0 @@
-{
-    "embed_dim": 1024,
-    "vision_cfg": {
-        "timm_model_name": "resnet50d",
-        "timm_model_pretrained": false,
-        "timm_pool": "abs_attn",
-        "timm_proj": "",
-        "image_size": 224
-    },
-    "text_cfg": {
-        "context_length": 77,
-        "vocab_size": 49408,
-        "width": 512,
-        "heads": 8,
-        "layers": 12
-    }
-}
diff --git a/src/open_clip/model_configs/timm-resnetaa50d.json b/src/open_clip/model_configs/timm-resnetaa50d.json
deleted file mode 100644
index c011e0c..0000000
--- a/src/open_clip/model_configs/timm-resnetaa50d.json
+++ /dev/null
@@ -1,17 +0,0 @@
-{
-    "embed_dim": 1024,
-    "vision_cfg": {
-        "timm_model_name": "resnetaa50d",
-        "timm_model_pretrained": false,
-        "timm_pool": "abs_attn",
-        "timm_proj": "",
-        "image_size": 224
-    },
-    "text_cfg": {
-        "context_length": 77,
-        "vocab_size": 49408,
-        "width": 512,
-        "heads": 8,
-        "layers": 12
-    }
-}
diff --git a/src/open_clip/model_configs/timm-resnetblur50.json b/src/open_clip/model_configs/timm-resnetblur50.json
deleted file mode 100644
index 05d0b20..0000000
--- a/src/open_clip/model_configs/timm-resnetblur50.json
+++ /dev/null
@@ -1,17 +0,0 @@
-{
-    "embed_dim": 1024,
-    "vision_cfg": {
-        "timm_model_name": "resnetblur50",
-        "timm_model_pretrained": false,
-        "timm_pool": "abs_attn",
-        "timm_proj": "",
-        "image_size": 224
-    },
-    "text_cfg": {
-        "context_length": 77,
-        "vocab_size": 49408,
-        "width": 512,
-        "heads": 8,
-        "layers": 12
-    }
-}
diff --git a/src/open_clip/model_configs/timm-swin_base_patch4_window7_224.json b/src/open_clip/model_configs/timm-swin_base_patch4_window7_224.json
deleted file mode 100644
index 29dd08f..0000000
--- a/src/open_clip/model_configs/timm-swin_base_patch4_window7_224.json
+++ /dev/null
@@ -1,17 +0,0 @@
-{
-    "embed_dim": 512,
-    "vision_cfg": {
-        "timm_model_name": "swin_base_patch4_window7_224",
-        "timm_model_pretrained": false,
-        "timm_pool": "",
-        "timm_proj": "linear",
-        "image_size": 224
-    },
-    "text_cfg": {
-        "context_length": 77,
-        "vocab_size": 49408,
-        "width": 512,
-        "heads": 8,
-        "layers": 12
-    }
-}
\ No newline at end of file
diff --git a/src/open_clip/model_configs/timm-vit_base_patch16_224.json b/src/open_clip/model_configs/timm-vit_base_patch16_224.json
deleted file mode 100644
index 39341ce..0000000
--- a/src/open_clip/model_configs/timm-vit_base_patch16_224.json
+++ /dev/null
@@ -1,17 +0,0 @@
-{
-    "embed_dim": 512,
-    "vision_cfg": {
-        "timm_model_name": "vit_base_patch16_224",
-        "timm_model_pretrained": false,
-        "timm_pool": "",
-        "timm_proj": "linear",
-        "image_size": 224
-    },
-    "text_cfg": {
-        "context_length": 77,
-        "vocab_size": 49408,
-        "width": 512,
-        "heads": 8,
-        "layers": 12
-    }
-}
\ No newline at end of file
diff --git a/src/open_clip/model_configs/timm-vit_base_patch32_224.json b/src/open_clip/model_configs/timm-vit_base_patch32_224.json
deleted file mode 100644
index 39b8452..0000000
--- a/src/open_clip/model_configs/timm-vit_base_patch32_224.json
+++ /dev/null
@@ -1,17 +0,0 @@
-{
-    "embed_dim": 512,
-    "vision_cfg": {
-        "timm_model_name": "vit_base_patch32_224",
-        "timm_model_pretrained": false,
-        "timm_pool": "",
-        "timm_proj": "linear",
-        "image_size": 224
-    },
-    "text_cfg": {
-        "context_length": 77,
-        "vocab_size": 49408,
-        "width": 512,
-        "heads": 8,
-        "layers": 12
-    }
-}
\ No newline at end of file
diff --git a/src/open_clip/model_configs/timm-vit_small_patch16_224.json b/src/open_clip/model_configs/timm-vit_small_patch16_224.json
deleted file mode 100644
index 45863ab..0000000
--- a/src/open_clip/model_configs/timm-vit_small_patch16_224.json
+++ /dev/null
@@ -1,17 +0,0 @@
-{
-    "embed_dim": 512,
-    "vision_cfg": {
-        "timm_model_name": "vit_small_patch16_224",
-        "timm_model_pretrained": false,
-        "timm_pool": "",
-        "timm_proj": "linear",
-        "image_size": 224
-    },
-    "text_cfg": {
-        "context_length": 77,
-        "vocab_size": 49408,
-        "width": 512,
-        "heads": 8,
-        "layers": 12
-    }
-}
\ No newline at end of file
diff --git a/src/out.csv b/src/out.csv
deleted file mode 100644
index 0e4efd9..0000000
--- a/src/out.csv
+++ /dev/null
@@ -1,1001 +0,0 @@
-caption,file_name_1,file_name_2,file_name_3,file_name_4,file_name_5,file_name_6,file_name_7,file_name_8,file_name_9,file_name_10
-A liquid continuously being poured out and hitting a bottom base.,gotes lent.wav,"Water - Leak, small.wav",gotes mig.wav,gootsteen.wav,Water_bubbles_stereo_StereoPiezo_44_24.wav,Washing and scrubbing.wav,drainage pipe running.wav,WATER DRIP 2 ECHO LOW PITCH.wav,lavar platos.wav,WaterRunning.wav
-Water coming out of a shower head and hitting the floor.,WATER SHOWER 001.wav,shower short.wav,Water_Falling_Bathtub_Drain.wav,sink1.wav,gully with water drips.wav,lavar platos.wav,gotes mig.wav,Tap Water Open.wav,Sink_on_off.wav,bathroomSink1.wav
-A grass cutter is roaring very loudly when revving up the engine.,motors-moteurs.wav,F-1-race-cars-restart-1stLap-Turn11-DR081.wav,Boulevard with motorbike.wav,25_MIXER.wav,Oxford Cambridge boat race 2010.wav,street.wav,Engine Reving.wav,Outside Sound.wav,bumble bee web.wav,german motorway or the autobahn.wav
-Heavy machinery is being used inside a building.,dumpster truck.wav,ambiant hangar sound.wav,Roof with fans.wav,20091217.05.street.cleaning.wav,WM_drain_pre_spin_cycle_24_96_mono.wav,bath room fan.wav,refrigerator buzzing.wav,City Street.wav,NY 176andSt.Nicholas AMB.wav,Apartment Ambiance 2.wav
-"Calm water flows down stream, two rocks clash.",WS RunningWater.wav,White Water.wav,river_small_close_01.wav,burton_waterfall_02.wav,Running water 20121021T2335.wav,Loch-Ness-At-night.wav,20130825-Water-fountain-Slavonice.wav,131227_strumyk_2.wav,Water on tarp 2.wav,waves and that helicopter.wav
-Large and stormy gusts of wind are blowing repeatedly.,"Wind in a tree, close to the foliage.wav",RainFallsonUmbrellaMcCoy.wav,Heavy wind and rain.wav,leaves_on_the_wind.wav,Heavy Rain tin roof.wav,Rain 02 091012.wav,20100110.rain.marshes.wav,13_Rain_onGrassStone_Gutter_44_16.wav,md1trk18.wav,plastic foil (outdoor recording).wav
-A person is urinating into a toilet bowl full of water.,Draining Kitchen Sink by Fajack.wav,Taps in the Bath.wav,sink1.wav,dishwasher01.wav,Toilet 2.wav,Shower Turn on - Turn off.wav,"Toilet flushing, water filling bowl.wav",Toilet Flush Krucifix Productions Sound Effects.wav,tub faucet and drain.wav,Dropping water.wav
-"A vehicle motor runs, grows quiet, then revs up twice.",Engine Reving.wav,Diesel truck and small car.wav,Crossroads with traffic lights #1.wav,motors-moteurs.wav,Boulevard with motorbike.wav,german motorway or the autobahn.wav,City Street.wav,psikedelic.wav,110719_glasgowdemolish.wav,tata_hungary__ady_endre_road_20080718.wav
-Water is poured and a buzzing machine is turned on.,dishwasher01.wav,Espresso Machine.wav,Water_Falling_Bathtub_Drain.wav,gootsteen.wav,shower short.wav,Shower Turn on - Turn off.wav,Plastic Rain Barrel long.wav,bathroomSink1.wav,"Water - Leak, small.wav",sink1.wav
-someone is going up to the stairs and tacking shoes off,Walking on Wood Floor.wav,door walking exit.wav,Footsteps on Wood floor 1.wav,Footsteps Dirt 02.wav,echo_ljubljana_castle.wav,Walking Downstairs.wav,foley footsteps walking in room indoors.wav,Foley Man Collapsing.wav,Schritte_BootsTeppich.wav,FootstepsOnaDock.wav
-A door is shut and knuckles are rapped against it.,fist bang 2.wav,RowanMagennis_160019_SD100_DeadBodyHitsWoodenFloor.wav,closing washing machine.wav,Auto_Door_Open_Close.wav,hits_bathroomStomp.wav,150209 Trevor Webb Snooker.wav,Opening Closing old oven.wav,PaperTossOnDesk.wav,door walking exit.wav,echo_ljubljana_castle.wav
-A supersonic fighter jet passes by in the sky.,Tornado Left To  Right.wav,5_Navy-Blue-Angels-jets_CLIP.wav,airliner_ascend.wav,2009-07-23_1554_Serralves Park Airplane flying by.wav,treinREM2.wav,Landing Jet 3.wav,Synth Wind.wav,spaced.wav,Ambience of the battle field2.wav,Mouth Wind Howling.wav
-Stones are being moved against another surface and makes a chime like noise.,Bell Ring.R.wav,Key Jingling.wav,Bell from large rabbit plush.wav,bikebell.wav,Rustling keys.wav,abandoned-ballroom-objects-wood-metal.wav,Bell7.wav,wine_glasses_drying_bottom_up (miroslawski.net).wav,Glasses Kitchen_IO.wav,steps in the station.wav
-someone is flushing the toilet and the water is filling.,Draining Kitchen Sink by Fajack.wav,Shower Turn on - Turn off.wav,"Toilet flushing, water filling bowl.wav",Toilet 2.wav,FLUSH .wav,Toilet Flush Krucifix Productions Sound Effects.wav,sink1.wav,Plastic Rain Barrel long.wav,Dropping water.wav,dishwasher01.wav
-a bird is singing in the night on a busy road.,Neighbourhood Ambiance.wav,Morning Ambience city.wav,spider_monkeys.wav,ambient_sound.wav,Birds and Nature.wav,screech_owl.wav,Cicada.1.45.wav,street.wav,004-Ambient Recording at Saint-Augustin (FR 7pm in October).wav,pineforest winter NL SHORT 130110_00.wav
-Some people are talking and the rain is pouring down.,Fountain at place pigale - Paris - France.wav,20110823_mountain.01.wav,"Rain next to open window, dog barks in the distance.wav",rainy morning in town.wav,Oxford Cambridge boat race 2010.wav,Rain 02 091012.wav,RainFallsonUmbrellaMcCoy.wav,rainy alleyway.wav,Heavy Rain tin roof.wav,maastricht town sounds.wav
-Someone has struck a match and is lighting pilot light.,Match being lit.wav,160170_Gravel_OWI.wav,Melon Stabs (Juicy).wav,Fire Crackle with Roaring Chimney.wav,Mascara.wav,rockonice.wav,soda can_pop.wav,opening and swallowing pills.wav,envelope.wav,Popcorn Foley.wav
-An item is being scrubbed with a cleaning tool with bristles.,ambiant hangar sound.wav,Ambient washing dishes.wav,Blinds being opened and closed quickly and slowly.wav,closing washing machine.wav,indoors WC bathroom ambient room tone.wav,kitchen indoor atmosphere.wav,lift_relais.wav,different variations of taring material.wav,Walking Downstairs.wav,entering shower moving curtain raffle raffling foley VARIOUS TAKES.wav
-someone is moving the hangers in the wardrobe.,butter_toast_2x.wav,Blinds being opened and closed quickly and slowly.wav,Mascara.wav,RKeaton_EMF366_3_Water In Glass Bottle with Metal Cap.wav,Gun Cleaning.wav,Metal coat hanger on steel hook.wav,Gun Handling.wav,md3trk14.wav,Tool Box.wav,plants-watering.wav
-Continuous very loud metal bell ringing over and over again.,templebell.wav,Carillon Servaas Church 100411.wav,cowbells1.wav,Bell Ring.R.wav,20060730.bells.wav,20090419.san.pedro.bells.wav,Marble Church.wav,More china bowl.wav,Wine glass hits.wav,church bell_ljubljana.wav
-"Multiple birds are singing outside, a breeze passes leaves.",Rain And Birds Chirping Krucifix Productions Sound Effects.wav,Sk310308 chaffinch crow.wav,The Commons.wav,Birds and insects in the wetlands of Melissant.wav,In an English Suburban Garden.wav,ambient_sound.wav,spider_monkeys.wav,pineforest winter NL SHORT 130110_00.wav,Spring Birds in Finnish forest.wav,20070628.casual.ambiance.wav
-A car slowly passes by and then more pass by afterwards.,traffic_night_street.wav,tata_hungary__ady_endre_road_20080718.wav,german motorway or the autobahn.wav,Highway Traffic_1-2.wav,Japan_Yukinoura_Bamboo_Forest_and_Road_.wav,Diesel truck and small car.wav,Crossroads with traffic lights #1.wav,street.wav,traffic at green light.wav,Boulevard with motorbike.wav
-windows screens are working very hard after few minute the car stops and someone goes out of the car.,Getting Into Car and Driving Away.wav,windscreen wipers light rain.wav,FastCarAmb.wav,Crossroads with traffic lights #1.wav,LR FRONT_INT CAR DOOR SHUT MVT cricket eve.wav,traffic from inside an apartment.wav,getting_on_the_highway.wav,City Street.wav,00208 tractors passing by.wav,Footsteps on Wood floor 1.wav
-An evening with beautiful rain in a town.,"wind, basement, dripping water.wav",Fountain at place pigale - Paris - France.wav,Heavy wind and rain.wav,Water on tarp 2.wav,inicio.wav,Rain 02 091012.wav,"Rain next to open window, dog barks in the distance.wav",20100110.rain.marshes.wav,"Wind in a tree, close to the foliage.wav",creek_tyrol_austria.wav
-Motor tries to start and misfires then stops before coming back running constant.,ambiant hangar sound.wav,dumpster truck.wav,WM_drain_pre_spin_cycle_24_96_mono.wav,20091217.05.street.cleaning.wav,Engine Reving.wav,car moving 01.wav,FP_Diesel_Tractor_Start_Run.wav,bath room fan.wav,Diesel train arrives and departs 1.wav,Construction Work 1 - 44.1kHz16Bit - Measurement Mirophone - Mono - TASCAM_DR40 - normalized - fade in and fade out low-3.wav
-A man grunts and exhales quickly as heavy items are being put down and slid around.,Foley Man Collapsing.wav,foley noisy chair moving standing up different speed.wav,rutting deer 2.wav,md1trk13.wav,Moving Chair On Carpet.wav,Scraping of a Carpet with a Brush.wav,zippers02.wav,indoors dorm dormitory ambient room tone closed window distant noises neighbours.wav,"Footsteps, slippers dragging on tile.wav",Brushing Hair.wav
-Someone is working at his home and his system alerting his notifications.,Footsteps on Wood floor 1.wav,Squeaky Windshield Wipers.wav,20060129.scrub.04.wav,Foley Man Collapsing.wav,entering shower moving curtain raffle raffling foley VARIOUS TAKES.wav,Walking Downstairs.wav,plastic foil (outdoor recording).wav,Walking on Wood Floor.wav,jetengines.wav,3 persons walking slowly on grass noisy ambient 2.wav
-A chainsaw is cutting a tree while birds are chirping in the background.,Outside Sound.wav,bumble bee web.wav,004-Ambient Recording at Saint-Augustin (FR 7pm in October).wav,street.wav,motors-moteurs.wav,Cricket2.wav,Cicada.1.45.wav,Buzzbees.wav,Chainsaw_4.wav,Chainsaw_2.wav
-A person treads on a soggy surface while rain falls in the background.,RainFallsonUmbrellaMcCoy.wav,"Wind in a tree, close to the foliage.wav",rainy alleyway.wav,13_Rain_onGrassStone_Gutter_44_16.wav,Heavy wind and rain.wav,20100110.rain.marshes.wav,Fountain at place pigale - Paris - France.wav,Rain 02 091012.wav,"Rain next to open window, dog barks in the distance.wav",leaves_on_the_wind.wav
-Water flows quickly over rocks as grass blades rustle.,White Water.wav,Fountain at place pigale - Paris - France.wav,Water on tarp 2.wav,"Wind in a tree, close to the foliage.wav",RainFallsonUmbrellaMcCoy.wav,20130406_nasty.weather.09.wav,creek_tyrol_austria.wav,Heavy Rain tin roof.wav,StreamPTDMos.wav,Running water 20121021T2335.wav
-An engine runs before revving up and driving away while coughing in the background.,Diesel truck and small car.wav,Engine Reving.wav,street.wav,Boulevard with motorbike.wav,Crossroads with traffic lights #1.wav,motors-moteurs.wav,german motorway or the autobahn.wav,110719_glasgowdemolish.wav,F-1-race-cars-restart-1stLap-Turn11-DR081.wav,bath room fan.wav
-Insects making weird noises at night time in bushes.,August night.wav,AugustNightInCornField.wav,greece_naxos_cicadas_6.wav,Cricket2.wav,20060804.marshes.cricket02.wav,Cicada 1.wav,Night in nature 2.wav,Crickets Night 2.wav,alabamaFrogs.wav,070821_flsp_narrows.wav
-A door opens and screeches and closes four times.,FX_Closing Sqeezing Wooden Door.wav,door_squeaky.wav,creaky-door-11.wav,Opening and closing a big old door.wav,entering1.wav,door walking exit.wav,big wooden door open close.wav,Opening Closing old oven.wav,closing washing machine.wav,Elevator Ride and Door Open Merchants Bldg.wav
-Water drips and flows while a bird chirps and sings quietly.,Waterflow_Ib.wav,Birds and insects in the wetlands of Melissant.wav,Rain And Birds Chirping Krucifix Productions Sound Effects.wav,river_small_close_01.wav,Water on tarp 2.wav,Stream trickling with small waterfall close by.wav,20070628.casual.ambiance.wav,forest stream ambiance.wav,creekclose.wav,131227_strumyk_2.wav
-a machine is making really bad noise in a factory.,Apartment Ambiance 2.wav,bath room fan.wav,room tone empty train station quiet.wav,City Street.wav,crossing bells.wav,20091217.05.street.cleaning.wav,Roof with fans.wav,5. Apartment ambience inside room.wav,refrigerator buzzing.wav,ambiant hangar sound.wav
-A bee buzzes and drones while bugs and birds chirp in the background.,soundscape forest.wav,Cicada.1.45.wav,Buzzbees.wav,20060620.ambiance.forest.summer01.wav,"Bumblebees in garden, calm wind, crickets in background 1,21min.wav",bumble bee web.wav,Cricket2.wav,An English Country Garden in July.wav,Yellow Throated Honeyeater.wav,"Village Square, Kardamyli, Ciccadas and distant chat.wav"
-someone is closing his coat and after walking the dog in the hood.,20060129.scrub.04.wav,3 persons walking slowly on grass noisy ambient 2.wav,Footsteps on Wood floor 1.wav,Walking on Wood Floor.wav,running_forest_snow.wav,walking on lava.wav,footsteps-gravel-birds.wav,footsteps_pebble_each_01.wav,Foley Man Collapsing.wav,walk_hard_snow.wav
-"An organ is being played softly while a child screams, then grows louder.",church_bell_song.wav,Inside Servaas Church 01 100411.wav,Lisbon&#39;s church.wav,vendedor_ambulante.wav,Welte Philharmonic Organ.wav,popibuuns.wav,church organ 2.wav,Cityscape 02 100208.wav,01451 war scene arrangement 1.wav,NEW INTRO FEB 2012 TDAR.wav
-"Wooden objects are struck many times at strange intervals, men murmur as it goes on further.",IRON_SLIDE.wav,"Call to Prayer, Old Dehli.wav",Vocal Strain - Unprocessed.wav,rutting deer 2.wav,Drinking Water and refreshing sigh.wav,contact_mic_on_satellite_dish09.wav,foley noisy chair moving standing up different speed.wav,stretch .wav,md1trk13.wav,Bell from large rabbit plush.wav
-A  race car starts and speeds off as it leaves spectators cheering.,F-1-race-cars-restart-1stLap-Turn11-DR081.wav,german motorway or the autobahn.wav,Boulevard with motorbike.wav,motors-moteurs.wav,Oxford Cambridge boat race 2010.wav,balloonburner.wav,street.wav,20110903_cycadas.n.wind.06.wav,bright_wind.wav,CP_Whipping_Wind_Storm_Medium01.wav
-A small bell is struck 3 times with a quickly falling off tone.,templebell.wav,More Bells.wav,metal-bowl-long-decay.wav,clunks_in_water.wav,church bell_ljubljana.wav,Wine glass hits.wav,Bell Ring.R.wav,bikebell.wav,3overtones.wav,Bell7.wav
-A saw motor runs as the blade spins increasingly faster and then slows to a stop.,25_MIXER.wav,departing_train.wav,JM_MACHINE_Coffee Machine 01 - Office.wav,Machine.wav,kitchen refrigerator working.wav,sd_coffee3.wav,150209 Trevor Webb Tire Squeeke.wav,Electromagnetic Waves on a Macbook Pro.wav,newport-hotel-blow-drier.wav,Stanley Knife Scraping Macbook.wav
-A person is riding a skateboard on a hard surface.,Skateboard rolling down concrete ramp.wav,14-Nails Scratching-consolidated.wav,JBF Buggy Race 3.wav,Stanley Knife Scraping Macbook.wav,contact_mic_coffee_maker.wav,stretch .wav,zippers02.wav,Paper_Shake.wav,plastic foil (outdoor recording).wav,rios_barney_geo_fonia_contra_el_viento.wav
-A person wearing shoes walks on a hardwood floor then proceeds to walk up some stairs.,Walking on Wood Floor.wav,Footsteps Dirt 02.wav,door walking exit.wav,Footsteps on Hard Floor.wav,running_forest_snow.wav,20091226.squeaky.door.wav,Footsteps on Wood floor 1.wav,foley footsteps walking in room indoors.wav,footsteps-gravel-birds.wav,20150712_underground.parking.wav
-rain or wind have in the area and woman are speaking in that time.,rainy alleyway.wav,Heavy wind and rain.wav,Rain 02 091012.wav,"Rain next to open window, dog barks in the distance.wav","Wind in a tree, close to the foliage.wav",20070610.thunder.wav,Fountain at place pigale - Paris - France.wav,thunderstorm_4.wav,Heavy Rain tin roof.wav,rainy morning in town.wav
-a locust is rubbing itself then birds are chirping.,high park crickets.3.wav,Cicada.1.45.wav,Tokyo-cicadas.wav,"Insects in the herbs of the plain, thunders in background.wav",20070628.casual.ambiance.wav,Rain And Birds Chirping Krucifix Productions Sound Effects.wav,Cricket2.wav,Desert at Night.wav,pineforest winter NL SHORT 130110_00.wav,screech_owl.wav
-A bird is chirping and some kind of sound is audible.,ambient_sound.wav,Birds and Nature.wav,screech_owl.wav,spider_monkeys.wav,nightbird.wav,The Commons.wav,Birds of Noosa Biosphere Reserve.wav,Ambient noise Kauai.wav,20070628.casual.ambiance.wav,Sk310308 chaffinch crow.wav
-A train is roaring by on a track making steady rumbling and periodic high pitched sounds.,NY 176andSt.Nicholas AMB.wav,ambience winter train station outdoor quiet distant construction.wav,office.refrigerator.wav,vertrek.wav,OMV_02.wav,TREIN3.wav,WasherEndWashCycleStartSpinCycle.wav,110719_glasgowdemolish.wav,"Sredniy Nikolopeskovsky lane, evening ambiance.wav",2 Subway Nice Place to Live.wav
-Water running then fades out and comes back before stopping.,Water_Falling_Bathtub_Drain.wav,20130825-Water-fountain-Slavonice.wav,gully with water drips.wav,gootsteen.wav,bathroomSink1.wav,dishwasher01.wav,Rain_Patter_01.wav,shower short.wav,sink1.wav,Stream Under Rocks.wav
-A thick plastic sheet is making noise on been shaken.,Remulada.wav,stretch .wav,Wheat ears shaken.wav,AlexandreJourdan_2013_s2.wav,md1trk18.wav,Melon Stabs (Juicy).wav,Plastic bag crumple.wav,Pills .wav,160170_Gravel_OWI.wav,nxSample-158.wav
-Loud noise is decreasing after a particular time.,ambiant hangar sound.wav,jetengines.wav,Mouth Wind Howling.wav,NY 176andSt.Nicholas AMB.wav,City Street.wav,windy day indoors windows rattle.wav,bath room fan.wav,HARDWARE STORE ROOMTONE.wav,City House Ambience.wav,indoors ambient room tone 1.wav
-A chime is periodically being hit in multiples of three.,Wine glass hits.wav,templebell.wav,metal-bowl-long-decay.wav,Doorsbell.wav,Pounding a metal stake with hammer v2.wav,Bell Ring.R.wav,Bell7.wav,crossing bells.wav,cowbells1.wav,Bell from large rabbit plush.wav
-A large metal bowl filled with water is being hit repeatedly by an object.,gotes mig.wav,dishwasher01.wav,sink1.wav,water jugs.wav,Water drops into a metallic bowl.wav,gotes lent.wav,Ambience_hurricane tube_low freq.wav,Hammering_Empty tank_large_CLOSE.wav,Bell from large rabbit plush.wav,abandoned-ballroom-objects-wood-metal.wav
-People walk up metal steps as an emergency vehicle siren sounds in the background.,Cityscape 02 100208.wav,steps in the station.wav,STREET_AMBULANCE_01.wav,UoA_Kcq_voices2_120224.wav,istanbul tram.wav,Sirena_24.05.11.wav,Covent_Garden_rain_5.wav,Place Pigalle ambience Paris.wav,BangkokMarket.wav,aup.wav
-Rain drops in the background at a continuous and heavy rate.,Heavy wind and rain.wav,Rain 02 091012.wav,"Wind in a tree, close to the foliage.wav",Heavy Rain tin roof.wav,13_Rain_onGrassStone_Gutter_44_16.wav,Fountain at place pigale - Paris - France.wav,rainy alleyway.wav,"Rain next to open window, dog barks in the distance.wav",RainFallsThruTinGutterMcCoy.wav,WATER SHOWER 001.wav
-Church bells are ringing and a dog is barking in the distance.,church bell_ljubljana.wav,Lisbon&#39;s church.wav,20101118.omnium.sanctorum.wav,Carillon Servaas Church 100411.wav,1167church_clock_striking_ten.wav,20060730.bells.wav,20090419.san.pedro.bells.wav,Marble Church.wav,Inside Servaas Church 01 100411.wav,cowbells1.wav
-Rain starts slowly and increases after some time.,Heavy wind and rain.wav,Fountain at place pigale - Paris - France.wav,20070610.thunder.wav,Rain 02 091012.wav,"Rain next to open window, dog barks in the distance.wav","Wind in a tree, close to the foliage.wav",thunderstorm_4.wav,Storm in the mountain forest of Parc regional des Cevennes_1.wav,13_Rain_onGrassStone_Gutter_44_16.wav,WATER SHOWER 001.wav
-Small dog crying inside a car which is been driven.,Squeaky Windshield Wipers.wav,zippers02.wav,01451 war scene arrangement 1.wav,Stanley Knife Scraping Macbook.wav,stones on thin ice.wav,150209 Trevor Webb Teeth Brushing.wav,cat food.wav,Cat Meow and Purr.wav,stray_dogs.wav,redbarn_feeding-horses.wav
-A man is speaking with a distorted pitch and water is running.,20110823_mountain.01.wav,Fountain at place pigale - Paris - France.wav,ambient bubbling liquid.wav,radio_am_01.wav,Apartment Ambiance 2.wav,Espresso Machine.wav,Inside Car Ambience Next to School More Quiet Version.wav,kenrokuen.wav,amsterdam bijmer station escalator.wav,Hair Clippers 2.wav
-Waves crashing hard on the beach water sounds really rough.,Sea Waves Splash the Beach on the Isle of Wight Coast.wav,Pirita Storm waves06.12.2015.wav,Waves on to rocks.wav,waves recording.wav,rbh Waves Lake Medium 01.wav,Wind in trees-force8-night.wav,CP_Whipping_Wind_Storm_Medium01.wav,20130406_nasty.weather.09.wav,Waves near the dock.wav,CFX-20130331-UK-DorsetSeaBeach02.wav
-The blades of a windmill creak as they spin around.,wine_glasses_drying_bottom_up (miroslawski.net).wav,stones on thin ice.wav,Squeaky Windshield Wipers.wav,Electric Stovetop.wav,Squeaking of door handle and rumbling of door.wav,JM_MACHINE_Coffee Machine 01 - Office.wav,Rain on the Window Sill (indoors).wav,Pills02.wav,Construction Work 1 - 44.1kHz16Bit - Measurement Mirophone - Mono - TASCAM_DR40 - normalized - fade in and fade out low-3.wav,metallic_crackle.wav
-A car engine runs and gets stronger as people talk in the background.,Oxford Cambridge boat race 2010.wav,WM_drain_pre_spin_cycle_24_96_mono.wav,Roof with fans.wav,Place Pigalle ambience Paris.wav,Rain 02 091012.wav,traffic at green light.wav,Crossroads with traffic lights #1.wav,Traffic Karl-Liebknechtstrasse 111223.wav,Apartment Ambiance 2.wav,20091217.05.street.cleaning.wav
-It is raining steadily and heavily and faint traffic goes by.,Heavy wind and rain.wav,Rain 02 091012.wav,Heavy Rain tin roof.wav,Fountain at place pigale - Paris - France.wav,The Commons.wav,german motorway or the autobahn.wav,traffic_night_street.wav,"Rain next to open window, dog barks in the distance.wav",psikedelic.wav,forestandocean.wav
-"Insects are high-pitched screeching, birds are chirping and a truck drives by.",Cricket2.wav,hereg_hungary__car_passing_by_1_20080712.wav,Cicada.1.45.wav,AugustNightInCornField.wav,August night.wav,Crickets Night 2.wav,high park crickets.3.wav,20160610_fading.plane.forest.wav,hereg_hungary__car_passing_by_2_20080712.wav,Japan_Yukinoura_Bamboo_Forest_and_Road_.wav
-"A motor bike goes by in heavy traffic, then revs its engine.",Diesel truck and small car.wav,Boulevard with motorbike.wav,Engine Reving.wav,traffic_night_street.wav,german motorway or the autobahn.wav,Crossroads with traffic lights #1.wav,traffic at green light.wav,motors-moteurs.wav,tata_hungary__ady_endre_road_20080718.wav,street.wav
-A piece of metal touching some plates and people talking.,CafeAmbience.wav,16 coffee shop ambience.wav,begin-metro-BCN.wav,people chatting background.wav,toy_tower.wav,Busy Drug Store.wav,Cafe 1.wav,Busy Dining Room Atmos.wav,PS3F_FOZ_centro_Mufato_carrinhos_tarde.wav,Portugese Fish Market.wav
-A train or a very heavy machine is in operation.,NY 176andSt.Nicholas AMB.wav,ambiant hangar sound.wav,Apartment Ambiance 2.wav,office.refrigerator.wav,Roof with fans.wav,WasherEndWashCycleStartSpinCycle.wav,Airplane Cabin.wav,refrigerator buzzing.wav,110719_glasgowdemolish.wav,City Street.wav
-Birds are resting in their nest at the night time.,Helicopter and crows passing overhead.wav,Birds and insects in the wetlands of Melissant.wav,070821_flsp_narrows.wav,The Commons.wav,20070628.casual.ambiance.wav,pineforest winter NL SHORT 130110_00.wav,Rain And Birds Chirping Krucifix Productions Sound Effects.wav,20160610_fading.plane.forest.wav,Cricket2.wav,"Insects in the herbs of the plain, thunders in background.wav"
-Crickets and bird sounds at night with the wind blowing.,AugustNightInCornField.wav,Crickets Night 2.wav,"Insects in the herbs of the plain, thunders in background.wav",Cicada 1.wav,high park crickets.3.wav,070821_flsp_narrows.wav,August night.wav,Night in nature 2.wav,Cricket2.wav,20060804.marshes.cricket02.wav
-Torrents of rain are falling and water is dripping.,Fountain at place pigale - Paris - France.wav,WATER SHOWER 001.wav,RainFallsThruTinGutterMcCoy.wav,White Water.wav,creek_tyrol_austria.wav,13_Rain_onGrassStone_Gutter_44_16.wav,Rain 02 091012.wav,Heavy wind and rain.wav,Heavy Rain tin roof.wav,"Rain next to open window, dog barks in the distance.wav"
-"Water is coming out of a spout, as a man hums in the background and water then shuts off.",waves recording.wav,Storm wind.wav,rbh Waves Lake Medium 01.wav,icesplashes3.wav,CFX-20130331-UK-DorsetSeaBeach02.wav,Sea Waves Splash the Beach on the Isle of Wight Coast.wav,waves and that helicopter.wav,Splashing in water.wav,Water on Coal.wav,Wind in trees-force8-night.wav
-A helicopter is getting louder and louder before dampening off.,"Helicopter interior, no rotor.wav",Crickets Night 2.wav,Helicopter Landing.wav,faucet2.wav,graveylargo.wav,WasherEndWashCycleStartSpinCycle.wav,kitchen refrigerator working.wav,20110903_cycadas.n.wind.06.wav,crossing bells.wav,departing_train.wav
-It's raining heavily and a heavy truck goes by and a motorcycle revs in the distance.,Rain 02 091012.wav,psikedelic.wav,Fountain at place pigale - Paris - France.wav,Heavy Rain tin roof.wav,german motorway or the autobahn.wav,traffic at green light.wav,Heavy wind and rain.wav,The Commons.wav,WM_drain_pre_spin_cycle_24_96_mono.wav,traffic_night_street.wav
-Sewing machine is on while a women is laughing in the background.,Sewing_machine_OWI.wav,ModernSewingMachine.wav,RomaBenzinaioGas_viaPomonte.wav,sd_coffee3.wav,Construction Work 1 - 44.1kHz16Bit - Measurement Mirophone - Mono - TASCAM_DR40 - normalized - fade in and fade out low-3.wav,11_car_radio.wav,PS3F_FOZ_centro_Mufato_carrinhos_tarde.wav,WM_drain_pre_spin_cycle_24_96_mono.wav,20091217.05.street.cleaning.wav,JM_MACHINE_Coffee Machine 01 - Office.wav
-A crowd of people is talking and then a baby cries.,16 coffee shop ambience.wav,20110212_mercado.05.wav,jf Resonant Space.wav,110420-001_openair_cafe_karlsruhe_Schlosscafe.wav,Bar atmosphere - Not So Busy.wav,Cafe 1.wav,Ambience outside a series of restaurants.wav,firenze_kids_churchyard.wav,Busy Dining Room Atmos.wav,Mall Ambient.wav
-A horse is walking down a street with horse shoes on.,horse in woods 130213_00.wav,FootstepsOnaDock.wav,UoA_PJ120202_HighStAlleyEch.wav,Walking on Wood Floor.wav,maastricht town sounds.wav,running_forest_snow.wav,HorseGoingBy.wav,Footsteps on Hard Floor.wav,steps in the station.wav,Footsteps on Slushy Cement.wav
-Some people are talking to each other in a large room.,Ambience outside a series of restaurants.wav,16 coffee shop ambience.wav,Kurla local train station Mumbai (1).wav,Portugese Fish Market.wav,people chatting background.wav,BigCrowdBigHall.wav,Kurla local train station Mumbai (2).wav,begin-metro-BCN.wav,110420-001_openair_cafe_karlsruhe_Schlosscafe.wav,160718 HSN spanish fish market.wav
-Wind is blowing in a steady stream and gets stronger.,forestandocean.wav,Water on tarp 2.wav,Wind in trees-force8-night.wav,White Water.wav,"Wind in a tree, close to the foliage.wav",Wasserfall 2.wav,Waves near the dock.wav,inicio.wav,creek_tyrol_austria.wav,Loch-Ness-At-night.wav
-Many Birds and frogs are making sound loudly.,2_frogs_qinghua.wav,Clark&#39;s Nutcrackers 01.wav,alabamaFrogs.wav,Birds and insects in the wetlands of Melissant.wav,grilla_garden_ambience.wav,Vieques night soundscape 10-10-10.wav,20070628.casual.ambiance.wav,FR.CTC.08.CoyuyoS.006.wav,20110423_distant.cuckoo.wav,August night.wav
-"a bird is chirping repetitively, it is the same chirp over and over again.",ambient_sound.wav,nightbird.wav,spider_monkeys.wav,Birds and Nature.wav,Birds of Noosa Biosphere Reserve.wav,screech_owl.wav,Budgies Chirping 2.wav,Birds_Singing.wav,Ambient noise Kauai.wav,20060607.bird.gone.nuts.wav
-someone is blowing a hot air balloon and people like it.,balloonburner.wav,Electromagnetic Waves on a Macbook Pro.wav,Scraping of a Carpet with a Brush.wav,20110823_mountain.01.wav,Inside Car Ambience Next to School More Quiet Version.wav,08-Bakken_RacingCars.wav,Dry Erase.wav,Squeaky Windshield Wipers.wav,zippers02.wav,stereo noise experiment 130820.wav
-A busy public area with crowd of people walking and talking.,Ambience outside a series of restaurants.wav,BigCrowdBigHall.wav,Cafe 1.wav,20091217.20.pedestrians.wav,maastricht town sounds.wav,SR005F.wav,In_a_que01.wav,Mall Ambient.wav,shopper_atmos.wav,Public Place.wav
-"Train approaching and passing by, metal scraping on metal.",vertrek.wav,TREIN3.wav,"Amtrak Crescent and Commuter Train, Left to Right.wav",backhoes.wav,kamakura_train.wav,tram turn.wav,Train Plan V 090627.wav,Moscow metro journey.wav,train11.wav,Metropassingclose(L-R).wav
-A vacuum cleaner is continuously running while solid objects pieces get sucked into it hitting its surface.,electric screwdriver_ST.wav,departing_train.wav,kitchen refrigerator working.wav,JM_MACHINE_Coffee Machine 01 - Office.wav,vacuuming upholstery.wav,25_MIXER.wav,ambiant hangar sound.wav,dumpster truck.wav,faucet2.wav,lift_relais.wav
-A fast plane flies by at low altitude.,graveylargo.wav,strange wind 03.wav,office.refrigerator.wav,Underground Parking Ambience.wav,treinREM2.wav,City House Ambience.wav,thunder wind 02.wav,NY 176andSt.Nicholas AMB.wav,room tone empty train station quiet.wav,Ambiance1.wav
-Someone is chopping something on a very hard surface.,screenplayTheater__footsteps_leatherSoles-onWood.wav,pukanie1.wav,PaperTossOnDesk.wav,foley footsteps walking in room indoors.wav,door walking exit.wav,RowanMagennis_160019_SD100_DeadBodyHitsWoodenFloor.wav,Walking on Wood Floor.wav,fist bang 2.wav,Footsteps Dirt 02.wav,echo_ljubljana_castle.wav
-The growls and breath of a small animal.,Pug Woof 3.wav,Cat Meow and Purr.wav,md1trk13.wav,foley noisy chair moving standing up different speed.wav,Drinking Water and refreshing sigh.wav,stretch .wav,redbarn_feeding-horses.wav,rutting deer 2.wav,zippers02.wav,stray_dogs.wav
-An ice-cream van is crossing the street making bell noise.,Inside Servaas Church 01 100411.wav,Bell Ring.R.wav,templebell.wav,church_bell_song.wav,crossing bells.wav,cowbells1.wav,Carillon Servaas Church 100411.wav,Lisbon&#39;s church.wav,1167church_clock_striking_ten.wav,MetroTrain.wav
-A person is trying to make the dry leaves to powder using crusher.,Scraping of a Carpet with a Brush.wav,nxSample-158.wav,Blinds being opened and closed quickly and slowly.wav,Dry Erase.wav,md1trk13.wav,Remulada.wav,Squeaky Windshield Wipers.wav,plastic foil (outdoor recording).wav,150209 Trevor Webb Teeth Brushing.wav,Wheat ears shaken.wav
-A motorcycle starts its engine and drives off.,arrancada i aturada de la moto.wav,FP_Diesel_Tractor_Start_Run.wav,ATV foley &amp; drive in woods - Reverberant [ST].wav,CarStart Idle Rev.wav,RC Helicopter Wind Blowing.wav,engine boat passing by.wav,bath room fan.wav,Morning Ride 7.wav,motors-moteurs.wav,Motor bikes passing by.wav
-Many different species of birds are chirping while a truck idles in the background.,Neighbourhood Ambiance.wav,The Commons.wav,spider_monkeys.wav,Helicopter and crows passing overhead.wav,street.wav,Japan_Yukinoura_Bamboo_Forest_and_Road_.wav,Small italian village - Quite afternoon.wav,pineforest winter NL SHORT 130110_00.wav,ambient_sound.wav,Birds and Nature.wav
-Church bells are ringing in a sequence to mark the time.,Carillon Servaas Church 100411.wav,20090419.san.pedro.bells.wav,Lisbon&#39;s church.wav,20101118.omnium.sanctorum.wav,20060730.bells.wav,Marble Church.wav,Inside Servaas Church 01 100411.wav,church bell_ljubljana.wav,1167church_clock_striking_ten.wav,cowbells1.wav
-Rain is coming heavily with thunder and the water is flowing on the road.,thunderstorm_4.wav,Rain falling and thunder clapping in a storm.wav,20070610.thunder.wav,inicio.wav,"Rain next to open window, dog barks in the distance.wav",Storm in the mountain forest of Parc regional des Cevennes_1.wav,Fountain at place pigale - Paris - France.wav,Rain 02 091012.wav,thunder_nl.wav,"Wind in a tree, close to the foliage.wav"
-A toolbox is being rattled around with items inside.,light.wav,Polaroid Camera Shot.wav,Squeaking of door handle and rumbling of door.wav,Blinds being opened and closed quickly and slowly.wav,Office environment.wav,Dropping and Putting Down of Keys.wav,Glass crushed 1.wav,bread_machine_1.wav,fliping paper.wav,Twist Off Bottle Cap.wav
-Many people are chatting while the registers are beeping.,BigCrowdBigHall.wav,Ambience outside a series of restaurants.wav,160718 HSN spanish fish market.wav,110420-001_openair_cafe_karlsruhe_Schlosscafe.wav,aup.wav,SR005F.wav,Cafe 1.wav,Grocery Shop Atmos.wav,In_a_que01.wav,Kurla local train station Mumbai (1).wav
-A person crushes snow with their boots as they walk.,20060129.scrub.04.wav,footsteps_pebble_each_01.wav,20060510.walk.scrub.wav,Footsteps on Crunchy Snow.wav,walk_hard_snow.wav,gravel walking.wav,plastic foil (outdoor recording).wav,walking 1.wav,Melon Stabs (Juicy).wav,3 persons walking slowly on grass noisy ambient 2.wav
-Wind chimes are blowing in the wind making music and birds are chirping.,church_bell_song.wav,1_ambiente inicio.wav,cowbells1.wav,ambient_sound.wav,spider_monkeys.wav,The Commons.wav,Rain And Birds Chirping Krucifix Productions Sound Effects.wav,screech_owl.wav,004-Ambient Recording at Saint-Augustin (FR 7pm in October).wav,crossing bells.wav
-A truck drives by while a woman speaks in the background.,Traffic Karl-Liebknechtstrasse 111223.wav,Diesel truck and small car.wav,City Street.wav,130916 General Paz y Panamericana.wav,psikedelic.wav,traffic at green light.wav,Roof with fans.wav,stoplight.wav,Ambience - Quiet Train.wav,Engine Reving.wav
-Children and Adults talk with each other positively and laugh.,firenze_kids_churchyard.wav,city park Tel Aviv.wav,Twee dozen aardbeien.wav,shopper_atmos.wav,16 coffee shop ambience.wav,Binnenrotte market live 100309.wav,toy_tower.wav,begin-metro-BCN.wav,Kids GardenHose 130723_02.wav,PS3F_FOZ_centro_Mufato_anuncio2_tarde.wav
-The wind is blowing in a steady gust until it dissipates.,CP_Whipping_Wind_Storm_Medium01.wav,Waves near the dock.wav,synthwind.wav,Mouth Wind Howling.wav,AMB_traffic_night_distant_02.wav,Ambience of the battle field2.wav,bright_wind.wav,Synthetic Thunderstorm.wav,plastic foil (outdoor recording).wav,Sea&amp;wind.wav
-a fire is burning outside during a quite night.,RainFallsonUmbrellaMcCoy.wav,WaterDrops.wav,13_Rain_onGrassStone_Gutter_44_16.wav,leaves_on_the_wind.wav,"Wind in a tree, close to the foliage.wav",rainy morning in town.wav,20081231.fire.02.wav,Pork sausage.wav,inicio.wav,ICE55.wav
-bell is ringing in a church with certain time intervals.,20060730.bells.wav,20101118.omnium.sanctorum.wav,church bell_ljubljana.wav,Lisbon&#39;s church.wav,Marble Church.wav,Carillon Servaas Church 100411.wav,1167church_clock_striking_ten.wav,20090419.san.pedro.bells.wav,templebell.wav,Inside Servaas Church 01 100411.wav
-a pot is hit with a plastic pen.,md1trk13.wav,stretch .wav,trolley wheels foley-mg.wav,screenplayTheater__footsteps_leatherSoles-onWood.wav,abandoned-ballroom-objects-wood-metal.wav,Paper_Shake.wav,tile-scrape-flange1.wav,Bell from large rabbit plush.wav,150209 Trevor Webb Teeth Brushing.wav,Squeaking of door handle and rumbling of door.wav
-beating fast to an object and it would be nail and hammer.,pukanie1.wav,Door pounding - increasing intensity.wav,Hammering_Empty tank_large_CLOSE.wav,fist bang 2.wav,Stiff Metal Wire.wav,04122 metallic cinematic hits.wav,150209 Trevor Webb Snooker.wav,Metal_Tin_Hit_bang.wav,settingdownglassbottle.wav,playing chess.wav
-Slogan chanting is going on along with surrounding noise.,004-Ambient Recording at Saint-Augustin (FR 7pm in October).wav,Pad_1_w_melody.wav,NEW INTRO FEB 2012 TDAR.wav,"wind, basement, dripping water.wav",August night.wav,1167church_clock_striking_ten.wav,Synth Wind.wav,PlanetaryAndXporterSingleLoop_STTOS_recreated.wav,stray_dogs.wav,20110423_distant.cuckoo.wav
-"A person runs, pants and snorts while birds chirp in the background.",Ambience - Freerange Birds - 96kHzsdasd.wav,pineforest winter NL SHORT 130110_00.wav,nia walking.wav,3 persons walking slowly on grass noisy ambient 2.wav,COUNTRY-farm-yard.wav,redbarn_feeding-horses.wav,spider_monkeys.wav,20070628.casual.ambiance.wav,Night in nature 2.wav,street.wav
-It is a dazzling loud of rain and it is not as much heavy.,"Rain next to open window, dog barks in the distance.wav",Fountain at place pigale - Paris - France.wav,Heavy Rain tin roof.wav,inicio.wav,White Water.wav,Rain 02 091012.wav,"Wind in a tree, close to the foliage.wav",Heavy wind and rain.wav,RainFallsonUmbrellaMcCoy.wav,Stream 5 at Krka falls.wav
-Static feedback with several loud thumps in the background.,03480 static white noise.wav,TONE pink noise  44.1 16bit.wav,stereo noise experiment 130820.wav,5. Apartment ambience inside room.wav,Electromagnetic Waves on a Macbook Pro.wav,JM_NOIZ_Buzz 01 - Neon Light.wav,crossing bells.wav,amsterdam bijmer station escalator.wav,Ambience_Outdoor_Wind_Birds.wav,ambiant hangar sound.wav
-Some metal drums are being dragged across the floor.,Ambience_hurricane tube_low freq.wav,abandoned-ballroom-objects-wood-metal.wav,safe deposit box lock-unlock.wav,Door pounding - increasing intensity.wav,Hammering_Empty tank_large_CLOSE.wav,04122 metallic cinematic hits.wav,Remove crashed glass.wav,contact_mic_on_satellite_dish09.wav,window rapping.wav,Bell from large rabbit plush.wav
-Sandpaper makes a scratchy sound amid newspapers being moved and crumpled.,Washing short hair.wav,Melon Stabs (Juicy).wav,footsteps_pebble_each_01.wav,md1trk18.wav,AlexandreJourdan_2013_s2.wav,Scraping of a Carpet with a Brush.wav,Brushing Hair.wav,Pills .wav,"Footsteps, slippers dragging on tile.wav",envelope.wav
-A clock pendulum swings back and forth consistently.,Analog Wall Clock.wav,Electric Stovetop.wav,SmallCarriageClockTicking.wav,Kitchen Roomtone w_Dripping Faucet_1-2.wav,timber.wav,Hangers Moving.wav,CanChaos.wav,DeLisa Foley clicky robot talk 02.wav,Ambience_hurricane tube_low freq.wav,tile-scrape-flange1.wav
-Group of people enjoying their day at a party night.,korea_flohmarkt.wav,110420-001_openair_cafe_karlsruhe_Schlosscafe.wav,Twee dozen aardbeien.wav,Carmel Market.wav,Cafe 1.wav,Binnenrotte market live 100309.wav,BigCrowdBigHall.wav,20110212_mercado.05.wav,In_a_que01.wav,Public Place.wav
-"A boy talking in a public place, with voices in the background.",Ambience outside a series of restaurants.wav,Kurla local train station Mumbai (1).wav,BigCrowdBigHall.wav,shopper_atmos.wav,Kurla local train station Mumbai (2).wav,Cafe 1.wav,110420-001_openair_cafe_karlsruhe_Schlosscafe.wav,Mall Ambient.wav,16 coffee shop ambience.wav,160718 HSN spanish fish market.wav
-"Bacon pops and sizzles in a pan, while liquid is splashing.",Pork sausage.wav,shower short.wav,Rain_Patter_01.wav,Grill.wav,13_Rain_onGrassStone_Gutter_44_16.wav,RainFallsThruTinGutterMcCoy.wav,WATER SHOWER 001.wav,Oil sizzling.wav,"Running Water, various pressure.wav",20081231.fire.02.wav
-A car engine is turned on and makes a slow deep sound that turns into a faster higher pitch sound.,bath room fan.wav,Engine Reving.wav,CarStart Idle Rev.wav,car moving 01.wav,dumpster truck.wav,ambiant hangar sound.wav,washing_machine_beginning.wav,City House Ambience.wav,WM_drain_pre_spin_cycle_24_96_mono.wav,Crossroads with traffic lights #1.wav
-Many people are having some conversations while a baby cries in the background.,16 coffee shop ambience.wav,110420-001_openair_cafe_karlsruhe_Schlosscafe.wav,Ambience outside a series of restaurants.wav,PS3F_FOZ_centro_Mufato_anuncio2_tarde.wav,20110212_mercado.05.wav,Twee dozen aardbeien.wav,Binnenrotte market live 100309.wav,korea_flohmarkt.wav,Cafe 1.wav,people chatting background.wav
-It is be the rain slows down and the water drops fall down.,Heavy wind and rain.wav,Fountain at place pigale - Paris - France.wav,Rain 02 091012.wav,20100110.rain.marshes.wav,13_Rain_onGrassStone_Gutter_44_16.wav,"Wind in a tree, close to the foliage.wav","Rain next to open window, dog barks in the distance.wav",RainFallsThruTinGutterMcCoy.wav,20070610.thunder.wav,Storm in the mountain forest of Parc regional des Cevennes_1.wav
-"Someone is walking through snow, then they kick the snow off there shoes and then walk in the snow again.",20060129.scrub.04.wav,20060510.walk.scrub.wav,Footsteps Dirt 02.wav,footsteps_pebble_each_01.wav,3 persons walking slowly on grass noisy ambient 2.wav,footsteps in woods.wav,footsteps-gravel-birds.wav,running_forest_snow.wav,Footsteps on Crunchy Snow.wav,walk_hard_snow.wav
-Birds are chirping nicely and the children are playing.,sparrows_berlin.wav,Small italian village - Quite afternoon.wav,09-07-15_2053_Small place near metro station Faria Guimaraes in the evening.wav,ambient_sound.wav,AMB_CityPark_Day_Seagull_People.wav,swifts 2.wav,Ambient noise Kauai.wav,spider_monkeys.wav,Birds and Nature.wav,city park Tel Aviv.wav
-A high speed train is passing by from the train station without stopping at the station.,vertrek.wav,"Train Passing, Close, Left to Right, B.wav","Amtrak Crescent and Commuter Train, Left to Right.wav",Intersection Wet_Metro Pass.wav,Train Mill Hill v1.wav,passage_tgv.wav,TREIN3.wav,Moscow metro journey.wav,Train Plan V 090627.wav,kamakura_train.wav
-A rooster is crowing multiple times and flapping its wings.,chickens in coop.wav,grilla_garden_ambience.wav,ambience_rural_house_outdoors_noon.wav,160170_warm afternoon_OWI.wav,single bird.wav,spider_monkeys.wav,World Spinning_01.wav,thunder without rain.wav,crows and owl.wav,Budgies Chirping 2.wav
-A group of men chanting and talking together.,wien_demo.wav,"Call to Prayer, Old Dehli.wav",20110212_mercado.05.wav,gaunermarkt_werbung.wav,Bar atmosphere - Not So Busy.wav,Busy Dining Room Atmos.wav,Cafe 1.wav,110420-001_openair_cafe_karlsruhe_Schlosscafe.wav,jf Resonant Space.wav,Portugese Fish Market.wav
-Tap water is flowing into a container from fast to slow motion.,20130825-Water-fountain-Slavonice.wav,Water_Falling_Bathtub_Drain.wav,shower short.wav,bathroomSink1.wav,Taps in the Bath.wav,gully with water drips.wav,Dropping water.wav,sink1.wav,Peeing into toilet.wav,WATER DRIP 2 ECHO LOW PITCH.wav
-A person is starting the vehicle and moves it.,ambiant hangar sound.wav,Engine Reving.wav,Ferry 03.wav,City Street.wav,FP_Diesel_Tractor_Start_Run.wav,dumpster truck.wav,110719_glasgowdemolish.wav,FastCarAmb.wav,getting_on_the_highway.wav,office.refrigerator.wav
-Water pours into a container at an inconstant rate.,20130825-Water-fountain-Slavonice.wav,Stream Under Rocks.wav,creekclose.wav,gully with water drips.wav,Running water 20121021T2335.wav,Water_Falling_Bathtub_Drain.wav,drainage pipe running.wav,kenrokuen.wav,Stream trickling with small waterfall close by.wav,131227_strumyk_2.wav
-Paper is slid across something and then folded and then the process repeats.,Scraping of a Carpet with a Brush.wav,Washing short hair.wav,"Footsteps, slippers dragging on tile.wav",Melon Stabs (Juicy).wav,Clothing Rubbing Foley Sound.wav,Brushing Hair.wav,3 persons walking slowly on grass noisy ambient 2.wav,entering shower moving curtain raffle raffling foley VARIOUS TAKES.wav,150209 Trevor Webb Teeth Brushing.wav,HeavySkirtMovement.wav
-"A train coming down the track, getting louder and louder.",vertrek.wav,TREIN3.wav,Moscow metro journey.wav,110719_glasgowdemolish.wav,Train Plan V 090627.wav,WasherEndWashCycleStartSpinCycle.wav,NY 176andSt.Nicholas AMB.wav,"Amtrak Crescent and Commuter Train, Left to Right.wav",istanbul tram.wav,kamakura_train.wav
-Wind chimes are blowing and jangling against each other.,cowbells1.wav,Key Jingling.wav,crossing bells.wav,1_ambiente inicio.wav,templebell.wav,Bell Ring.R.wav,MetroTrain.wav,copper-chimes.wav,Bell from large rabbit plush.wav,More china bowl.wav
-the helicopter is starting to get ready for a flight.,"Helicopter interior, no rotor.wav",Helicopter Landing.wav,WasherEndWashCycleStartSpinCycle.wav,graveylargo.wav,bath room fan.wav,kitchen refrigerator working.wav,WASHER machine 2.wav,refrigerator buzzing.wav,departing_train.wav,crossing bells.wav
-A man is quickly urinating in the toilet bowl.,Draining Kitchen Sink by Fajack.wav,Toilet Flush Krucifix Productions Sound Effects.wav,Plastic Rain Barrel short.wav,Plastic Rain Barrel long.wav,sink1.wav,gootsteen.wav,"Toilet flushing, water filling bowl.wav",Shower Turn on - Turn off.wav,Dropping water.wav,Toilet 2.wav
-A person is opening and closing the zip from the bag.,Footsteps on Wood floor 1.wav,footsteps_pebble_each_01.wav,Washing short hair.wav,entering shower moving curtain raffle raffling foley VARIOUS TAKES.wav,Melon Stabs (Juicy).wav,Footsteps on Crunchy Snow.wav,bread_in_toaster.wav,Brushing Hair.wav,Snapping Stick.wav,envelope.wav
-Someone walking then a few beeping noises and people talking.,steps in the station.wav,20091217.20.pedestrians.wav,maastricht town sounds.wav,UoA_Kcq_voices2_120224.wav,Covent_Garden_rain_5.wav,UoA_PJ120202_HighStAlleyEch.wav,noise pollution in a city park.wav,Ousman Ramble.wav,In_a_que01.wav,Outside Library.wav
-"A motor engine rumbles slowly, then quickly, then slowing as a belt chirps in the background.",City Street.wav,Neighbourhood Ambiance.wav,street.wav,NY 176andSt.Nicholas AMB.wav,Diesel truck and small car.wav,Cicada.1.45.wav,110719_glasgowdemolish.wav,german motorway or the autobahn.wav,Cricket2.wav,office.refrigerator.wav
-"A man reads a story in a loud robotic monotone drone, becoming very robotic at the end.",sweep phrase.wav,NEW INTRO FEB 2012 TDAR.wav,hillden.wav,PlanetaryAndXporterSingleLoop_STTOS_recreated.wav,Voktebef_I&#39;m not sure if I&#39;m here.wav,Hair Clippers 2.wav,Underground Parking Ambience.wav,"wind, basement, dripping water.wav",Interference3.wav,resonante bass ring-15.J.wav
-Papers from a binder are being flipped through while the binder taps the desk.,Washing short hair.wav,bread_in_toaster.wav,Cash Money sounds_fieldtapes.wav,160170_Gravel_OWI.wav,envelope.wav,Melon Stabs (Juicy).wav,Fire crackling.wav,Cutting paper.wav,Glass crushed 1.wav,pepper grinder.wav
-someone is walking inside a shallow water continuously.,20060129.scrub.04.wav,Waves at the edge of Bosphorus.wav,Splashing in water.wav,Footsteps Water 01.wav,icesplashes3.wav,20110903_splashing.walk.wav,gravel walking.wav,Chewing_Fx.wav,rbh Waves Lake Medium 01.wav,walking 1.wav
-Multiple birds chirp together outside during the day.,ambient_sound.wav,Birds and Nature.wav,spider_monkeys.wav,Ambient noise Kauai.wav,In an English Suburban Garden.wav,Sk310308 chaffinch crow.wav,The Commons.wav,20060607.bird.gone.nuts.wav,An English Country Garden in July.wav,nightbird.wav
-TV is running loudly in someone's house playing a song.,amsterdam bijmer station escalator.wav,dog howl in woods.wav,Tokyo-cicadas.wav,08-Bakken_RacingCars.wav,20110823_mountain.01.wav,"Village Square, Kardamyli, Ciccadas and distant chat.wav",Inside Car Ambience Next to School More Quiet Version.wav,Crickets Night 2.wav,20060426.marsh.crikets.bee-eaters.stereo.wav,stereo noise experiment 130820.wav
-A flat plane slides on a wood surface and comes to a thudding stop several times.,Squeaky Windshield Wipers.wav,Stanley Knife Scraping Macbook.wav,zippers02.wav,14-Nails Scratching-consolidated.wav,door walking exit.wav,md1trk13.wav,Remulada.wav,stretch .wav,rutting deer 2.wav,Paper_Shake.wav
-A person plays a white noise machine of rain hitting a window and pauses it several times.,130915 - Interior Room - Hard Rain on Flat Roof.wav,5. Apartment ambience inside room.wav,Heavy wind and rain.wav,windy day indoors windows rattle.wav,"wind, basement, dripping water.wav",Rain 02 091012.wav,raindrops on metal_police background.wav,"Wind in a tree, close to the foliage.wav",jetengines.wav,RainFallsonUmbrellaMcCoy.wav
-Complete silence then a flick and a few bangs.,04122 metallic cinematic hits.wav,fist bang 2.wav,150209 Trevor Webb Snooker.wav,pukanie1.wav,Opening Closing old oven.wav,Hammering_Empty tank_large_CLOSE.wav,Gas Door.wav,Stiff Metal Wire.wav,Auto_Door_Open_Close.wav,clang_metal_(hit).wav
-Silence with a handful of seagulls making noise.,single bird.wav,CFX-20130331-UK-DorsetSeaCliff07.wav,AMB_CityPark_Day_Seagull_People.wav,PJcalls2.wav,Canada geese.wav,outdoors ambient distant village 2.wav,Urban owl hoot.wav,World Spinning_01.wav,Birds and insects in the wetlands of Melissant.wav,screech_owl.wav
-Water is being poured constantly and freely into a sink.,gotes lent.wav,"Water - Leak, small.wav",Dribbling water Edited.wav,gootsteen.wav,gully with water drips.wav,gotes mig.wav,bathroomSink1.wav,Water_Falling_Bathtub_Drain.wav,bathroom_water_tap_on_fill_off_drain_24_96_stereo.wav,shower short.wav
-"A bus opens it's doors, feet shuffle on the ground, and vehicle sirens go off in the background.",110719_glasgowdemolish.wav,istanbul tram.wav,stoplight.wav,erilee_tram_over_bridge.wav,Neighbourhood Ambiance.wav,City Street.wav,"Sredniy Nikolopeskovsky lane, evening ambiance.wav",DH12_141Tram1.wav,road_spikes.wav,Cityscape 02 100208.wav
-air is released from a balloon then the balloon is released into the air.,Electromagnetic Waves on a Macbook Pro.wav,Dry Erase.wav,Scraping of a Carpet with a Brush.wav,AftershaveSpray.wav,Zipper sounds.wav,Remulada.wav,Man inhale and exhale vape.wav,bitmapnoise3.wav,different variations of taring material.wav,stereo noise experiment 130820.wav
-"Machinery is humming with a heavy bass hum, getting quieter towards the end.",NY 176andSt.Nicholas AMB.wav,Roof with fans.wav,office.refrigerator.wav,refrigerator buzzing.wav,City Street.wav,ambiant hangar sound.wav,dumpster truck.wav,WM_drain_pre_spin_cycle_24_96_mono.wav,bath room fan.wav,room tone empty train station quiet.wav
-People speak and laugh and place objects on surfaces.,110420-001_openair_cafe_karlsruhe_Schlosscafe.wav,Quiet Chat.wav,Busy Dining Room Atmos.wav,16 coffee shop ambience.wav,Public Place.wav,begin-metro-BCN.wav,Cafe 1.wav,SR005F.wav,Twee dozen aardbeien.wav,people chatting background.wav
-Animals squawk in a jungle as a large vehicle comes closer.,Neighbourhood Ambiance.wav,AMB_CityPark_Day_Seagull_People.wav,spider_monkeys.wav,The Commons.wav,grilla_garden_ambience.wav,Helicopter and crows passing overhead.wav,ambient_sound.wav,Morning Ambience city.wav,Birds and Nature.wav,street.wav
-"A news anchor speaks about Presley leaving Texas to Germany on a TV in a noisy background,",Subway to Namba St. .wav,02-BikeDemo_Chimes_Speak.wav,24 may 2011.wav,Tea Garden Outside Ambience.wav,0129 Big_shop.wav,gaunermarkt_werbung.wav,Train Luzern-Engelberg.wav,UoA_Kcq_voices2_120224.wav,vendedor_ambulante.wav,Cafe 1.wav
-"A click, followed by metallic whirring which gains intensity then fades out.",CR SharktoGnawAmb.wav,014_House_Fan.wav,Bell from large rabbit plush.wav,Opening a Mysterious Trunk.wav,earthkiller background 1.wav,Tone Shift.wav,novasound7100.wav,resonante bass ring-15.J.wav,110719_glasgowdemolish.wav,Water drops into a metallic bowl.wav
-Someone is pulling a metal cart with squeaky wheels.,Coming into a hospital in saturday.wav,110719_glasgowdemolish.wav,Construction Work 1 - 44.1kHz16Bit - Measurement Mirophone - Mono - TASCAM_DR40 - normalized - fade in and fade out low-3.wav,Bell from large rabbit plush.wav,Glasses Kitchen_IO.wav,Squeaky Windshield Wipers.wav,tile-scrape-flange1.wav,Remove crashed glass.wav,Old metal pail.wav,tram turn.wav
-A motor bike starting and then after it is slows down and stopped.,arrancada i aturada de la moto.wav,25_MIXER.wav,Construction Work 1 - 44.1kHz16Bit - Measurement Mirophone - Mono - TASCAM_DR40 - normalized - fade in and fade out low-3.wav,ATV foley &amp; drive in woods - Reverberant [ST].wav,FP_Diesel_Tractor_Start_Run.wav,JM_MACHINE_Coffee Machine 01 - Office.wav,Interference3.wav,TAMPER_0332.wav,Outside Sound.wav,RC Helicopter Wind Blowing.wav
-"A motor runs at a steady pace, staying at the same level throughout.",Diesel train arrives and departs 1.wav,20091217.05.street.cleaning.wav,Roof with fans.wav,City Street.wav,WM_drain_pre_spin_cycle_24_96_mono.wav,psikedelic.wav,ambiant hangar sound.wav,room tone empty train station quiet.wav,car moving 01.wav,Microwave 01.wav
-Two noises at the same time different speeds get faster and change.,JM_MACHINE_Coffee Machine 01 - Office.wav,plastic foil (outdoor recording).wav,Stanley Knife Scraping Macbook.wav,CR SharktoGnawAmb.wav,Electromagnetic Waves on a Macbook Pro.wav,nxSample-158.wav,Engine Reving.wav,110719_glasgowdemolish.wav,ambiant hangar sound.wav,Squeaking of door handle and rumbling of door.wav
-An aircraft takes off from a runway in an airport.,5_Navy-Blue-Angels-jets_CLIP.wav,2009-07-23_1554_Serralves Park Airplane flying by.wav,airliner_ascend.wav,german motorway or the autobahn.wav,Tornado Left To  Right.wav,Landing Jet 3.wav,treinREM2.wav,graveylargo.wav,OMV_02.wav,spaced.wav
-Dripping water progressively getting louder and more often.,Rain_Patter_01.wav,gotes lent.wav,"Water - Leak, small.wav",RainFallsThruTinGutterMcCoy.wav,gotes mig.wav,drainage pipe running.wav,20130825-Water-fountain-Slavonice.wav,Water_Falling_Bathtub_Drain.wav,13_Rain_onGrassStone_Gutter_44_16.wav,WATER SHOWER 001.wav
-A flight is taken off from the airport.,Footsteps on Wood floor 1.wav,plastic foil (outdoor recording).wav,steps in the station.wav,3 persons walking slowly on grass noisy ambient 2.wav,Covent_Garden_rain_5.wav,rainy alleyway.wav,indoors ambient room tone 1.wav,road_spikes.wav,110719_glasgowdemolish.wav,20061017.apres.lapluie.pigeon.wav
-The wind is blowing strongly as cars drive by.,german motorway or the autobahn.wav,Neighborhood Ambiance.wav,FastCarAmb.wav,AMB_traffic_night_distant_02.wav,CP_Whipping_Wind_Storm_Medium01.wav,street.wav,Waves near the dock.wav,City Street.wav,Rural nightfall atmos.wav,traffic_night_street.wav
-The door on a vehicle is closing and the tires are dragged across a surface.,Coming into a hospital in saturday.wav,110719_glasgowdemolish.wav,erilee_tram_over_bridge.wav,01451 war scene arrangement 1.wav,Elevator Ride and Door Open Merchants Bldg.wav,Getting Into Car and Driving Away.wav,road_spikes.wav,elevator 001.wav,London Bus.wav,130916 General Paz y Panamericana.wav
-"Multiple cars driving by, and continuous motor sounds.",traffic_night_street.wav,traffic at green light.wav,Diesel truck and small car.wav,german motorway or the autobahn.wav,tata_hungary__ady_endre_road_20080718.wav,Boulevard with motorbike.wav,street.wav,Japan_Yukinoura_Bamboo_Forest_and_Road_.wav,Crossroads with traffic lights #1.wav,DH12_141Tram1.wav
-Cricket and snack noises then a beat comes in and gets louder.,Cicada 1.wav,20060804.marshes.cricket02.wav,Cricket2.wav,AugustNightInCornField.wav,greece_naxos_cicadas_6.wav,August night.wav,20060426.marsh.crikets.bee-eaters.stereo.wav,"Village Square, Kardamyli, Ciccadas and distant chat.wav",070821_flsp_narrows.wav,grasshopper.wav
-A electronic device makes a screech repeatedly that starts off louder and becomes softer.,Vocal Strain - Unprocessed.wav,water blups.wav,Tone Shift.wav,thebit2.wav,Interference3.wav,STEREO INTERFERENCE.wav,Tap Drip Vox inc reverb.wav,disquetera3.wav,trame5_5.wav,Synth Wind.wav
-a jet is coming close then passes by.,5_Navy-Blue-Angels-jets_CLIP.wav,treinREM2.wav,Synth Wind.wav,airliner_ascend.wav,2009-07-23_1554_Serralves Park Airplane flying by.wav,Tornado Left To  Right.wav,spaced.wav,Landing Jet 3.wav,german motorway or the autobahn.wav,20110903_cycadas.n.wind.06.wav
-Water is being drained from a squeaky toy continuously.,Water_bubbles_stereo_StereoPiezo_44_24.wav,drainage pipe running.wav,water blups.wav,ambient bubbling liquid.wav,Waterflow_Ib.wav,Espresso Machine.wav,gootsteen.wav,Water on tarp 2.wav,Squeaky Windshield Wipers.wav,Stream Running Into Pond.wav
-A metal hitting against another metal crackling continuously.,Bell from large rabbit plush.wav,Glasses Kitchen_IO.wav,bruits.chute.petite.urne.gravillons.wav,Key Jingling.wav,metallic_crackle.wav,CR SharktoGnawAmb.wav,abandoned-ballroom-objects-wood-metal.wav,object falls on wood.wav,Rustling keys.wav,Fire crackling.wav
-a machine is making very loud noise in a factory.,refrigerator buzzing.wav,Apartment Ambiance 2.wav,ambiant hangar sound.wav,20091217.05.street.cleaning.wav,bath room fan.wav,kitchen refrigerator working.wav,room tone empty train station quiet.wav,City Street.wav,dumpster truck.wav,departing_train.wav
-A man is asking to his companion in rush town space.,gaunermarkt_werbung.wav,rutting deer 2.wav,vendedor_ambulante.wav,Neighbourhood Ambiance.wav,Urban owl hoot.wav,09-07-15_2053_Small place near metro station Faria Guimaraes in the evening.wav,Wailing Wind.wav,outdoors ambient distant village 2.wav,city pond ducks yell.wav,"Call to Prayer, Old Dehli.wav"
-Water is flowing in a fountain while birds chirp in the background.,Stream trickling with small waterfall close by.wav,forest stream ambiance.wav,Rain And Birds Chirping Krucifix Productions Sound Effects.wav,river_small_close_01.wav,Birds and insects in the wetlands of Melissant.wav,kenrokuen.wav,Waterflow_Ib.wav,Water on tarp 2.wav,creekclose.wav,burton_waterfall_02.wav
-Water is flowing through the tap and filling the vessel.,Water_Falling_Bathtub_Drain.wav,20130825-Water-fountain-Slavonice.wav,gully with water drips.wav,WATER SHOWER 001.wav,Stream Under Rocks.wav,shower short.wav,bathroomSink1.wav,Peeing into toilet.wav,Tap Water Open.wav,Sink_on_off.wav
-Tap water is pouring freely in a sink.,sink1.wav,shower short.wav,bathroom_water_tap_on_fill_off_drain_24_96_stereo.wav,Tap Water Open.wav,Sink running-drain.wav,Dribbling water Edited.wav,gotes mig.wav,Taps in the Bath.wav,Peeing into toilet.wav,bathroomSink1.wav
-A machine is on rotating and making swish noises.,refrigerator buzzing.wav,Electromagnetic Waves on a Macbook Pro.wav,bitmapnoise3.wav,kitchen refrigerator working.wav,JM_MACHINE_Coffee Machine 01 - Office.wav,JM_NOIZ_Buzz 01 - Neon Light.wav,014_House_Fan.wav,Espresso Machine.wav,bath room fan.wav,Apartment Ambiance 2.wav
-Birds chirp and a crow caws on a road as cars pass by.,street.wav,Neighbourhood Ambiance.wav,Japan_Yukinoura_Bamboo_Forest_and_Road_.wav,Helicopter and crows passing overhead.wav,The Commons.wav,Morning Ambience city.wav,spider_monkeys.wav,Small italian village - Quite afternoon.wav,Car Pass and Horse Twang - CherryGardens.wav,ambient_sound.wav
-A drum is being tapped consistently then randomly.,Hammering_Empty tank_large_CLOSE.wav,Door pounding - increasing intensity.wav,Ambience_hurricane tube_low freq.wav,Stiff Metal Wire.wav,CR SharktoGnawAmb.wav,abandoned-ballroom-objects-wood-metal.wav,Metal_Tin_Hit_bang.wav,closing washing machine.wav,pukanie1.wav,window rapping.wav
-a wooden block is dropped and then it is scooted three times then two more are the blocks are dropped.,abandoned-ballroom-objects-wood-metal.wav,safe deposit box lock-unlock.wav,object falls on wood.wav,Metal_Tin_Hit_bang.wav,Bell from large rabbit plush.wav,clunks_in_water.wav,Ambience_hurricane tube_low freq.wav,kettle-watergong3.wav,clang_metal_(hit).wav,Stiff Metal Wire.wav
-"Buzzing, a high speed rail approaches, then passes by.",motors-moteurs.wav,20160610_fading.plane.forest.wav,street.wav,hereg_hungary__car_passing_by_1_20080712.wav,004-Ambient Recording at Saint-Augustin (FR 7pm in October).wav,Boulevard with motorbike.wav,F-1-race-cars-restart-1stLap-Turn11-DR081.wav,AMB_Ext_Residential_Day_Stereo_002.wav,Cicada.1.45.wav,scooter_pass-by4.wav
-Rain is falling and then thunder sounds out in the distance.,Rain falling and thunder clapping in a storm.wav,thunder_nl.wav,very strong thunder by fresco.wav,20070610.thunder.wav,LightningCrash.wav,rain_villaverde1.wav,Torden og lynild 3.wav,thunderstorm_4.wav,sw_thunder_03.wav,Rain &amp; Thunder 1 Clap.wav
-A loud bell is struck and the tone slowly tapers off.,templebell.wav,crossing bells.wav,Bell Ring.R.wav,metal-bowl-long-decay.wav,clunks_in_water.wav,Bell7.wav,bikebell.wav,20060729.lid.wav,Wine glass hits.wav,Old alarm clock (ticking and ringing).wav
-"A hollow plastic container is dropped multiple times, a brief crinkling of paper in the middle.",Plastic bag crumple.wav,pepper grinder.wav,AlexandreJourdan_2013_s2.wav,Fire crackling.wav,Pecan nuts cracked open.wav,160170_Gravel_OWI.wav,Glass crushed 1.wav,bread_in_toaster.wav,envelope.wav,Match being lit.wav
-Some fly's are buzzing around exploring outside and get close to a bird that is whistling.,screech_owl.wav,Morning Ambience city.wav,Cicada.1.45.wav,pineforest winter NL SHORT 130110_00.wav,09-07-15_2053_Small place near metro station Faria Guimaraes in the evening.wav,Helicopter and crows passing overhead.wav,Neighbourhood Ambiance.wav,Cricket2.wav,20070628.casual.ambiance.wav,street.wav
-People are swimming in water at a brisk pace.,bathtub feet squeek with water splashes .wav,20110823_mountain.01.wav,rbh Waves Lake Medium 01.wav,08-Bakken_RacingCars.wav,Oxford Cambridge boat race 2010.wav,Loch-Ness-At-night.wav,WS RunningWater.wav,Splashing in water.wav,White Water.wav,waves and that helicopter.wav
-A motorbike vrooms past and then it fades into the distance.,street.wav,motors-moteurs.wav,german motorway or the autobahn.wav,Boulevard with motorbike.wav,F-1-race-cars-restart-1stLap-Turn11-DR081.wav,20160610_fading.plane.forest.wav,strange wind 03.wav,Crossroads with traffic lights #1.wav,tata_hungary__ady_endre_road_20080718.wav,Cicada.1.45.wav
-Water droplets falling into a container of even more water.,gotes lent.wav,WaterRunning.wav,drainage pipe running.wav,gotes mig.wav,Waterflow_Ib.wav,"Water - Leak, small.wav",gully with water drips.wav,Washing and scrubbing.wav,Water_bubbles_stereo_StereoPiezo_44_24.wav,WATER DRIP 2 ECHO LOW PITCH.wav
-Bubble wrap is being touched and popped repeatedly.,plastic foil (outdoor recording).wav,walk_hard_snow.wav,envelope.wav,md1trk18.wav,BodyDrag2.wav,fly 1 sands_05.wav,footsteps_pebble_each_01.wav,AlexandreJourdan_2013_s2.wav,Smoke.wav,Melon Stabs (Juicy).wav
-A group of girls laughing harder and louder as time goes by.,lachen.wav,16 coffee shop ambience.wav,grilla_garden_ambience.wav,Bar atmosphere - Not So Busy.wav,Next To School in Street Ambience.wav,Busy Dining Room Atmos.wav,Kids GardenHose 130723_02.wav,applause_and_whistle.wav,firenze_kids_churchyard.wav,jf Resonant Space.wav
-Multiple fireworks shoot into the sky during the day.,Fireworks_2_Amsterdam_48_24.wav,Fireworks_Amsterdam_48_24.wav,ThreeFireworks.wav,Sorrento Fireworks.wav,strange sounding firework rocket explosions.wav,plastic foil (outdoor recording).wav,Thunderstrikes very close.wav,nxSample-158.wav,BodyDrag2.wav,Talll Grass Hits 2.wav
-Wind blowing and cars driving by fast outside.,german motorway or the autobahn.wav,FastCarAmb.wav,street.wav,Car Pass and Horse Twang - CherryGardens.wav,traffic_night_street.wav,Highway Traffic_1-2.wav,tata_hungary__ady_endre_road_20080718.wav,Japan_Yukinoura_Bamboo_Forest_and_Road_.wav,Neighborhood Ambiance.wav,traffic at green light.wav
-Two persons are discussing about something in a longer phase.,zippers02.wav,20100806.stockholm.street.ambiance.wav,3 persons walking slowly on grass noisy ambient 2.wav,bumble bee web.wav,Remulada.wav,maastricht town sounds.wav,Footsteps on Hard Floor.wav,20060510.walk.scrub.wav,market1.wav,walking 1.wav
-Sharpening of knife by rubbing it on a surface.,Gun Cleaning.wav,butter_toast_2x.wav,Filing Nail.wav,sanding wallboard.wav,md1trk13.wav,150209 Trevor Webb Teeth Brushing.wav,tile-scrape-flange1.wav,Metal coat hanger on steel hook.wav,Stanley Knife Scraping Macbook.wav,Blinds being opened and closed quickly and slowly.wav
-Water drips on water while rain falls and birds chirps.,forest stream ambiance.wav,Stream trickling with small waterfall close by.wav,Waterflow_Ib.wav,Stream Under Rocks.wav,Fountain at place pigale - Paris - France.wav,Water on tarp 2.wav,StreamPTDMos.wav,kenrokuen.wav,creek_tyrol_austria.wav,Rain And Birds Chirping Krucifix Productions Sound Effects.wav
-A horse riding sound for a longer time.,horse in woods 130213_00.wav,HorseGoingBy.wav,wine_glasses_drying_bottom_up (miroslawski.net).wav,FootstepsOnaDock.wav,walking 1.wav,Rain on the Window Sill (indoors).wav,CFX-20130331-UK-DorsetHarbour08.wav,UoA_PJ120202_HighStAlleyEch.wav,24 hn_footstepsSneakerConcreteSnow.wav,rios_barney_geo_fonia_contra_el_viento.wav
-Birds are chirping while it is raining outside.,Rain And Birds Chirping Krucifix Productions Sound Effects.wav,The Commons.wav,Birds and insects in the wetlands of Melissant.wav,20070628.casual.ambiance.wav,Sk310308 chaffinch crow.wav,spider_monkeys.wav,Heavy wind and rain.wav,"Wind in a tree, close to the foliage.wav",Ambient noise Kauai.wav,EXT Quiet Valley.wav
-Fifteen mallet or hammer hits are being done.,Door pounding - increasing intensity.wav,Metal_Tin_Hit_bang.wav,04122 metallic cinematic hits.wav,abandoned-ballroom-objects-wood-metal.wav,clang_metal_(hit).wav,Hammering_Empty tank_large_CLOSE.wav,strange sounding firework rocket explosions.wav,echo_ljubljana_castle.wav,3overtones.wav,clunks_in_water.wav
-Twigs crackle and snap while burning in a fire.,fly 1 sands_05.wav,WaterDrops.wav,RainFallsonUmbrellaMcCoy.wav,13_Rain_onGrassStone_Gutter_44_16.wav,plastic foil (outdoor recording).wav,preparing fire at the picnic.wav,Fire Crackle with Roaring Chimney.wav,leaves_on_the_wind.wav,envelope.wav,ICE55.wav
-A loud thunder noise caused by lighting along with rain.,Rain falling and thunder clapping in a storm.wav,very strong thunder by fresco.wav,LightningCrash.wav,thunder_nl.wav,Torden og lynild 3.wav,20070610.thunder.wav,rain_villaverde1.wav,Storm in the mountain forest of Parc regional des Cevennes_1.wav,sw_thunder_03.wav,thunderstorm_4.wav
-A woman talks while a train travels down the tracks and the train's brakes squeal.,Subway to Namba St. .wav,Cityscape 02 100208.wav,istanbul tram.wav,Train Luzern-Engelberg.wav,24 may 2011.wav,tube_arriving.wav,Tea Garden Outside Ambience.wav,0129 Big_shop.wav,metro underground  ambient opening closing doors noisy transport catalan spanish barcelona.wav,Noise and Walking 2.wav
-periodic high intensity bursts from a smaller engine coming in contact occasionally with small debris.,refrigerator buzzing.wav,Electromagnetic Waves on a Macbook Pro.wav,crossing bells.wav,tile-scrape-flange1.wav,Synth Wind.wav,014_House_Fan.wav,Interference3.wav,nxSample-158.wav,faucet2.wav,bitmapnoise3.wav
-A person is crunching an apple and swallows.,gravel walking.wav,20060129.scrub.04.wav,Footsteps on Crunchy Snow.wav,20060510.walk.scrub.wav,footsteps_pebble_each_01.wav,plastic foil (outdoor recording).wav,fly 1 sands_05.wav,walking 1.wav,footsteps in woods.wav,envelope.wav
-A motor is running and fan blades are striking the framing.,refrigerator buzzing.wav,Microwave 01.wav,ambiant hangar sound.wav,City Street.wav,NY 176andSt.Nicholas AMB.wav,WM_drain_pre_spin_cycle_24_96_mono.wav,bath room fan.wav,20091217.05.street.cleaning.wav,room tone empty train station quiet.wav,Roof with fans.wav
-A gust of wind is hitting an object.,plastic foil (outdoor recording).wav,bebops_wind2.wav,bebops_wind1.wav,windy day indoors windows rattle.wav,Cotton Flapping.wav,Waves near the dock.wav,3 persons walking slowly on grass noisy ambient 2.wav,CP_Whipping_Wind_Storm_Medium01.wav,HeavySkirtMovement.wav,footsteps in woods.wav
-"Jet airplanes fly in the distance, then pass over head, then fly off in the distance.",5_Navy-Blue-Angels-jets_CLIP.wav,Tornado Left To  Right.wav,airliner_ascend.wav,Landing Jet 3.wav,Ambience of the battle field2.wav,treinREM2.wav,thunder002.wav,2009-07-23_1554_Serralves Park Airplane flying by.wav,spaced.wav,strange wind 03.wav
-A metal gate being shut by way of a metal wheel.,Old metal pail.wav,Bell from large rabbit plush.wav,"Iron gate, street.wav",Glasses Kitchen_IO.wav,contact_mic_on_satellite_dish09.wav,tile-scrape-flange1.wav,abandoned-ballroom-objects-wood-metal.wav,Ambience_hurricane tube_low freq.wav,Hammering on Anvil.wav,Tool Box.wav
-"Many people are moving and talking, as a baby cries, then a women shouts, then a child and women talk.",firenze_kids_churchyard.wav,city park Tel Aviv.wav,16 coffee shop ambience.wav,shopper_atmos.wav,20110212_mercado.05.wav,Next To School in Street Ambience.wav,toy_tower.wav,Twee dozen aardbeien.wav,Binnenrotte market live 100309.wav,Kurla local train station Mumbai (1).wav
-Insects are humming while a car drives past.,Cricket2.wav,Cicada.1.45.wav,hereg_hungary__car_passing_by_1_20080712.wav,high park crickets.3.wav,AugustNightInCornField.wav,hereg_hungary__car_passing_by_2_20080712.wav,070821_flsp_narrows.wav,City House Ambience.wav,Cicada 1.wav,Crickets Night 2.wav
-few people having conversation while they are traveling.,24 may 2011.wav,BigCrowdBigHall.wav,market1.wav,Cafe 1.wav,In_a_que01.wav,20100806.stockholm.street.ambiance.wav,noise pollution in a city park.wav,Binnenrotte market live 100309.wav,110420-001_openair_cafe_karlsruhe_Schlosscafe.wav,160718 HSN spanish fish market.wav
-Someone plays music on the side of a metal object.,Bell from large rabbit plush.wav,abandoned-ballroom-objects-wood-metal.wav,Ambience_hurricane tube_low freq.wav,CR SharktoGnawAmb.wav,safe deposit box lock-unlock.wav,kettle-watergong3.wav,Door in SPB-045.wav,Glasses Kitchen_IO.wav,water jugs.wav,IRON_SLIDE.wav
-A radio station playing music with a poor and  distorted signals.,fm-radio-tuning-sweeps.wav,Electromagnetic Waves on a Macbook Pro.wav,radio_am_01.wav,Voktebef_I&#39;m not sure if I&#39;m here.wav,bitmapnoise3.wav,popibuuns.wav,Tone Shift.wav,telefono_en_espera.wav,refrigerator buzzing.wav,Alien junkyard.wav
-Water slowly and then quickly drops into a container of water.,gotes mig.wav,gotes lent.wav,"Water - Leak, small.wav",sink1.wav,WATER DRIP 2 ECHO LOW PITCH.wav,gully with water drips.wav,lavar platos.wav,Water plopping in pulling out small object.wav,WaterRunning.wav,Dribbling water Edited.wav
-"Reeling in a fishing pole, regular thumping in the background.",20060129.scrub.04.wav,Walking on Wood Floor.wav,Footsteps Dirt 02.wav,Footsteps on Wood floor 1.wav,3 persons walking slowly on grass noisy ambient 2.wav,footsteps_pebble_each_01.wav,plastic foil (outdoor recording).wav,Foley Man Collapsing.wav,20060510.walk.scrub.wav,Walking Downstairs.wav
-A man is speaking  and keep silence to end.,Hair Clippers 2.wav,Outside UU FSW 080701.wav,Inside Car Ambience Next to School More Quiet Version.wav,CFX-20130329-UK-DorsetRoomTone03.wav,gaunermarkt_werbung.wav,cigarette_lighter.wav,indoors ambient room tone.wav,Ball and Tennis Racket_01.wav,110420-001_openair_cafe_karlsruhe_Schlosscafe.wav,Sound_FX_dishmachine_digital.wav
-A machine is whirring constantly as another one screeches as time goes on.,kitchen refrigerator working.wav,refrigerator buzzing.wav,ambiant hangar sound.wav,JM_MACHINE_Coffee Machine 01 - Office.wav,bath room fan.wav,Apartment Ambiance 2.wav,departing_train.wav,dumpster truck.wav,JM_NOIZ_Buzz 01 - Neon Light.wav,indoors WC bathroom ambient room tone.wav
-Birds are singing with high pitched chirps as traffic moves on a nearby road.,Neighbourhood Ambiance.wav,Birds and Nature.wav,spider_monkeys.wav,ambient_sound.wav,The Commons.wav,street.wav,Small italian village - Quite afternoon.wav,Morning Ambience city.wav,Sk310308 chaffinch crow.wav,An English Country Garden in July.wav
-Birds chirp in a loop of ascending then flat tones.,Birds and Nature.wav,screech_owl.wav,ambient_sound.wav,spider_monkeys.wav,Sk310308 chaffinch crow.wav,20060607.bird.gone.nuts.wav,Birds of Noosa Biosphere Reserve.wav,Rain And Birds Chirping Krucifix Productions Sound Effects.wav,nightbird.wav,20070628.casual.ambiance.wav
-Rain and water are dripping from a rooftop.,RainFallsThruTinGutterMcCoy.wav,Fountain at place pigale - Paris - France.wav,WATER SHOWER 001.wav,13_Rain_onGrassStone_Gutter_44_16.wav,Rain_Patter_01.wav,"Rain next to open window, dog barks in the distance.wav","Wind in a tree, close to the foliage.wav",Rain 02 091012.wav,20100110.rain.marshes.wav,Heavy wind and rain.wav
-a baby is crying because he wants is dummy.,Asher.wav,mau2.wav,stan_laughing_12292012.wav,cat_door.wav,dog howl in woods.wav,"Call to Prayer, Old Dehli.wav",city pond ducks yell.wav,Wailing Wind.wav,sheep calling her baby lambs.wav,20080302.sheeps.close.wav
-"A man makes some weird sounds, stops after a bleep and then continues in a fading tone.",Hair Clippers 2.wav,Short circuit.wav,telefono_en_espera.wav,BRITISH PHONE.wav,door sound.wav,sheep calling her baby lambs.wav,Interference3.wav,Vocal Strain - Unprocessed.wav,Bell7.wav,IRON_SLIDE.wav
-A large machine is being turned on that makes a deep vibrating sound and then it gets turned off.,refrigerator buzzing.wav,ambiant hangar sound.wav,dumpster truck.wav,Microwave 01.wav,washing_machine_beginning.wav,bath room fan.wav,014_House_Fan.wav,Interference3.wav,WM_drain_pre_spin_cycle_24_96_mono.wav,office.refrigerator.wav
-Heavy traffic is driving by and something is periodically making a high pitched screech.,stoplight.wav,german motorway or the autobahn.wav,tata_hungary__ady_endre_road_20080718.wav,Diesel truck and small car.wav,"Sredniy Nikolopeskovsky lane, evening ambiance.wav",traffic_night_street.wav,Japan_Yukinoura_Bamboo_Forest_and_Road_.wav,110719_glasgowdemolish.wav,Neighbourhood Ambiance.wav,street.wav
-A baby is crying in the background for milk.,Asher.wav,mau2.wav,cat_door.wav,stan_laughing_12292012.wav,grilla_garden_ambience.wav,01451 war scene arrangement 1.wav,ambience_rural_house_outdoors_noon.wav,Squeaky Windshield Wipers.wav,tile-scrape-flange1.wav,"Call to Prayer, Old Dehli.wav"
-Machinery is running outside on a busy city street.,Roof with fans.wav,City Street.wav,WM_drain_pre_spin_cycle_24_96_mono.wav,NY 176andSt.Nicholas AMB.wav,Apartment Ambiance 2.wav,20091217.05.street.cleaning.wav,110719_glasgowdemolish.wav,"Sredniy Nikolopeskovsky lane, evening ambiance.wav",indoors empty bar noisy ambient 2.wav,traffic from inside an apartment.wav
-Monkey is shouting at peoples on a zoo.,City Traffic (Outdoor).wav,sparrows_berlin.wav,city park Tel Aviv.wav,swifts 2.wav,Ambient noise Kauai.wav,Tokyo-cicadas.wav,korea_flohmarkt.wav,AMB_CityPark_Day_Seagull_People.wav,firenze_kids_churchyard.wav,Birds and Nature.wav
-Rain drops and a person walks while others talk and birds chirp in the background.,rainy alleyway.wav,maastricht town sounds.wav,Covent_Garden_rain_5.wav,Rain 02 091012.wav,Heavy wind and rain.wav,The Commons.wav,20091217.20.pedestrians.wav,noise pollution in a city park.wav,rainy morning in town.wav,UoA_PJ120202_HighStAlleyEch.wav
-someone ripping one sheet of paper over and over.,Washing short hair.wav,footsteps_pebble_each_01.wav,Melon Stabs (Juicy).wav,Brushing Hair.wav,md1trk18.wav,Clothing Rubbing Foley Sound.wav,envelope.wav,HeavySkirtMovement.wav,BodyDrag2.wav,3 persons walking slowly on grass noisy ambient 2.wav
-A man is conducting an interview and asking question to the another man.,IRON_SLIDE.wav,foley noisy chair moving standing up different speed.wav,md1trk13.wav,Wailing Wind.wav,rutting deer 2.wav,Foley Man Collapsing.wav,zippers02.wav,indoors dorm dormitory ambient room tone closed window distant noises neighbours.wav,Drinking Water and refreshing sigh.wav,"Call to Prayer, Old Dehli.wav"
-The bell is ringing continuously in the church during prayer time.,20101118.omnium.sanctorum.wav,Carillon Servaas Church 100411.wav,20060730.bells.wav,Lisbon&#39;s church.wav,Marble Church.wav,20090419.san.pedro.bells.wav,church bell_ljubljana.wav,1167church_clock_striking_ten.wav,Inside Servaas Church 01 100411.wav,templebell.wav
-A person is eating chips in his sofa.,Through Slime.wav,Chewing_Fx.wav,gravel walking.wav,cat food.wav,coffee Elite opening.wav,AlexandreJourdan_2013_s2.wav,walking on lava.wav,160170_Gravel_OWI.wav,20060129.scrub.04.wav,Melon Stabs (Juicy).wav
-someone running while a car drove passed him.,City Street.wav,110719_glasgowdemolish.wav,NY 176andSt.Nicholas AMB.wav,indoors empty bar noisy ambient 2.wav,130916 General Paz y Panamericana.wav,Diesel truck and small car.wav,Ambience - Quiet Train.wav,erilee_tram_over_bridge.wav,Roof with fans.wav,Rural nightfall atmos.wav
-"Dragging, scraping noises across wood, also several loud footsteps.",Walking on Wood Floor.wav,door walking exit.wav,foley noisy chair moving standing up different speed.wav,footsteps_pebble_each_01.wav,"Footsteps, slippers dragging on tile.wav",Walking Downstairs.wav,Foley Man Collapsing.wav,Washing short hair.wav,walk_hard_snow.wav,Rolling Chair.wav
-Someone is looking at a photo album and turned three pages of it.,Melon Stabs (Juicy).wav,AlexandreJourdan_2013_s2.wav,Pills .wav,Paper_Tear_Fx.wav,Zipper sounds.wav,160170_Gravel_OWI.wav,footsteps_pebble_each_01.wav,Brushing Hair.wav,Smoke.wav,walk_hard_snow.wav
-A vehicle is moving and a  man who is onboard leads with a song  and others joins in.,erilee_tram_over_bridge.wav,Subway to Namba St. .wav,Cityscape 02 100208.wav,130916 General Paz y Panamericana.wav,London Bus.wav,street.wav,Ousman Ramble.wav,Ambience - Quiet Train.wav,20100806.stockholm.street.ambiance.wav,02-BikeDemo_Chimes_Speak.wav
-lots of different animals and birds are making noise in the wood.,spider_monkeys.wav,An English Country Garden in July.wav,Neighbourhood Ambiance.wav,Birds and Nature.wav,Cicada.1.45.wav,pineforest winter NL SHORT 130110_00.wav,Helicopter and crows passing overhead.wav,Small italian village - Quite afternoon.wav,Ambient noise Kauai.wav,Buzzbees.wav
-A click noise is made then complete silence.,The Great Outdoors of Kortepohja.wav,indoors dorm dormitory ambient room tone closed window distant noises neighbours.wav,rockonice.wav,soda can_pop.wav,thunder002.wav,natural_wind.wav,Fire Crackle with Roaring Chimney.wav,HARDWARE STORE ROOMTONE.wav,Footsteps on Wood floor 1.wav,thunder wind 02.wav
-someone is rapping with his mouth making beats.,Wailing Wind.wav,Urban owl hoot.wav,indoors dorm dormitory ambient room tone closed window distant noises neighbours.wav,md1trk13.wav,Help Me.wav,outdoors ambient distant village 2.wav,Foley Man Collapsing.wav,CFX-20130329-UK-DorsetRoomTone03.wav,AMB_traffic_night_distant_02.wav,foley noisy chair moving standing up different speed.wav
-Soft music changing to a loud different tone.,resonante bass ring-15.J.wav,Voktebef_I&#39;m not sure if I&#39;m here.wav,Pad_1_w_melody.wav,"wind, basement, dripping water.wav",radio_am_01.wav,thebit2.wav,ambientBell.wav,Hair Clippers 2.wav,PipeWork.wav,earthkiller background 1.wav
-Two to three person cross the river in very fast.,Loch-Ness-At-night.wav,river_small_close_01.wav,burton_waterfall_02.wav,WS RunningWater.wav,Stream Running Into Pond.wav,Creek Running water.wav,creekclose.wav,Water on tarp 2.wav,131227_strumyk_2.wav,Footsteps Water 01.wav
-Sea waves approaching a sea show at intervals.,Sea Waves Splash the Beach on the Isle of Wight Coast.wav,Waves near the dock.wav,Pirita Storm waves06.12.2015.wav,waves recording.wav,Wind in trees-force8-night.wav,CP_Whipping_Wind_Storm_Medium01.wav,CFX-20130331-UK-DorsetSeaBeach02.wav,Siberian Weather Front 5 PM 110304.wav,Storm wind.wav,CFX-20130331-UK-DorsetHarbour02.wav
-A radio playing orchestra music with a very loud voice.,fm-radio-tuning-sweeps.wav,vendedor_ambulante.wav,Sao_Paulo_Liberdade_Forro_2014_10_12.wav,chicago police scanner.wav,Electromagnetic Waves on a Macbook Pro.wav,GORAZD_0075_Omori_Pachinko.wav,times_square.wav,20110823_mountain.01.wav,static choppy 1400 kHz.wav,radio_am_01.wav
-"Wind is swooshing, people chatting and birds chirping in the background.",09-07-15_2053_Small place near metro station Faria Guimaraes in the evening.wav,pineforest winter NL SHORT 130110_00.wav,bebops_wind2.wav,Omni_Ambiental_ParkingLot.wav,outdoors ambient distant village 2.wav,street.wav,dog howl in woods.wav,Desert at Night.wav,Inside Car Ambience Next to School More Quiet Version.wav,AMB_traffic_night_distant_02.wav
-"A machine or engine is running at a constant speed, making an engine-idling sound.",refrigerator buzzing.wav,20091217.05.street.cleaning.wav,bath room fan.wav,WM_drain_pre_spin_cycle_24_96_mono.wav,Diesel train arrives and departs 1.wav,kitchen refrigerator working.wav,ambiant hangar sound.wav,Microwave 01.wav,car moving 01.wav,dumpster truck.wav
-Rain is falling on the ground with a normal speed.,Fountain at place pigale - Paris - France.wav,"Wind in a tree, close to the foliage.wav",RainFallsonUmbrellaMcCoy.wav,"Rain next to open window, dog barks in the distance.wav",Heavy Rain tin roof.wav,Rain 02 091012.wav,Heavy wind and rain.wav,White Water.wav,13_Rain_onGrassStone_Gutter_44_16.wav,RainFallsThruTinGutterMcCoy.wav
-A  family is talking and playing in a park.,people chatting background.wav,Kurla local train station Mumbai (1).wav,korea_flohmarkt.wav,PS3F_FOZ_centro_Mufato_anuncio2_tarde.wav,begin-metro-BCN.wav,shopper_atmos.wav,Ambience outside a series of restaurants.wav,Twee dozen aardbeien.wav,20110212_mercado.05.wav,110420-001_openair_cafe_karlsruhe_Schlosscafe.wav
-"beautiful, spiritual and relaxing music is playing in a church.",church_bell_song.wav,NEW INTRO FEB 2012 TDAR.wav,popibuuns.wav,church organ 2.wav,PipeWork.wav,Voktebef_I&#39;m not sure if I&#39;m here.wav,Inside Servaas Church 01 100411.wav,crossing bells.wav,1167church_clock_striking_ten.wav,Pad_1_w_melody.wav
-"A person is in process of searching something, thus picking many stuff and keeping back.",indoors house ambient living room tone distant neighbours and traffic.wav,indoors ambient room tone 1.wav,InsideBus.wav,Wailing Wind.wav,NY 176andSt.Nicholas AMB.wav,traffic from inside an apartment.wav,City Street.wav,lift_relais.wav,ambiant hangar sound.wav,windy day indoors windows rattle.wav
-"A group of people are chanting at a protest, some people are using a megaphone to repeat the phrase.",20110212_mercado.05.wav,jf Resonant Space.wav,wien_demo.wav,Bar atmosphere - Not So Busy.wav,16 coffee shop ambience.wav,"Call to Prayer, Old Dehli.wav",110420-001_openair_cafe_karlsruhe_Schlosscafe.wav,Busy Dining Room Atmos.wav,Portugese Fish Market.wav,ChurchProcession.wav
-An container with objects is being shaken around making noise.,Wheat ears shaken.wav,Pills02.wav,md1trk13.wav,Mascara.wav,Remulada.wav,Pecan nuts cracked open.wav,Fire crackling.wav,stretch .wav,150209 Trevor Webb Teeth Brushing.wav,Filing Nail.wav
-Pieces of metal make clattering sounds as they are dropped in a glass jar.,Glasses Kitchen_IO.wav,Bell from large rabbit plush.wav,metallic_crackle.wav,bruits.chute.petite.urne.gravillons.wav,Tool Box.wav,object falls on wood.wav,md3trk14.wav,Key Jingling.wav,Rustling keys.wav,abandoned-ballroom-objects-wood-metal.wav
-"A ball bouncing loudly and then softer, but continuously.",echo_ljubljana_castle.wav,Door pounding - increasing intensity.wav,foley footsteps walking in room indoors.wav,strange sounding firework rocket explosions.wav,Footsteps Dirt 02.wav,20150712_underground.parking.wav,door walking exit.wav,pukanie1.wav,playing chess.wav,Hammering_Empty tank_large_CLOSE.wav
-high-pitched ethereal sound that occasionally changes tone.,PlanetaryAndXporterSingleLoop_STTOS_recreated.wav,Synth Wind.wav,resonante bass ring-15.J.wav,treinREM2.wav,Tone Shift.wav,Underground Parking Ambience.wav,departing_train.wav,crossing bells.wav,kitchen refrigerator working.wav,Spooky Atmosphere.wav
-In a grinder grinds things and it working fast as fast.,JM_MACHINE_Coffee Machine 01 - Office.wav,25_MIXER.wav,Espresso Machine.wav,kitchen refrigerator working.wav,Coffee Machine - Brew 1.wav,dremmel-noise2.wav,sd_coffee3.wav,Electromagnetic Waves on a Macbook Pro.wav,Interference3.wav,Machine.wav
-"Two women talk, while a car engine revs, drowning out their voices.",Ousman Ramble.wav,Oxford Cambridge boat race 2010.wav,Tea Garden Outside Ambience.wav,Subway to Namba St. .wav,20100806.stockholm.street.ambiance.wav,Cityscape 02 100208.wav,Place Pigalle ambience Paris.wav,130916 General Paz y Panamericana.wav,Crossroads with traffic lights #1.wav,Street scene in Bangkok.wav
-a child asking loudly for her need and another one woman is responding.,Next To School in Street Ambience.wav,city pond ducks yell.wav,city park Tel Aviv.wav,stenochscentre.wav,firenze_kids_churchyard.wav,grilla_garden_ambience.wav,09-07-15_2053_Small place near metro station Faria Guimaraes in the evening.wav,stanley_and_reese_bath_03.wav,16 coffee shop ambience.wav,Kids GardenHose 130723_02.wav
-2 frogs are copulating and talking to each other.,2_frogs_qinghua.wav,alabamaFrogs.wav,Clark&#39;s Nutcrackers 01.wav,FR.CTC.08.CoyuyoS.006.wav,Cicada 1.wav,disquetera3.wav,Birds and insects in the wetlands of Melissant.wav,20060804.marshes.cricket02.wav,Espresso Machine.wav,Cricket2.wav
-a bag of chips being closed up and then a cabinet being opened and closed.,bread_in_toaster.wav,envelope.wav,160170_Gravel_OWI.wav,footsteps_pebble_each_01.wav,Paper_Tear_Fx.wav,Match being lit.wav,Melon Stabs (Juicy).wav,Footsteps on Crunchy Snow.wav,Fire crackling.wav,Eating a TicTac.wav
-Water dripping into a water bowl with bird noises.,gotes lent.wav,Waterflow_Ib.wav,WaterRunning.wav,drainage pipe running.wav,forest stream ambiance.wav,gotes mig.wav,gully with water drips.wav,Rain_Patter_01.wav,"Water - Leak, small.wav",Water on tarp 2.wav
-Quiet flick then a pause another flick then constant flicking.,Microwave1.wav,dishwasher01.wav,Toilet Flush Krucifix Productions Sound Effects.wav,Opening a Mysterious Trunk.wav,ambiant hangar sound.wav,Fan noise.wav,gotes mig.wav,raindrops on metal_police background.wav,sink1.wav,Gas Door.wav
-Someone is cutting plant using plant cutter in his garden.,3 persons walking slowly on grass noisy ambient 2.wav,Achter de Stekke .wav,steps in the station.wav,footsteps_pebble_each_01.wav,20091226.squeaky.door.wav,plastic foil (outdoor recording).wav,abandoned-ballroom-objects-wood-metal.wav,rutting deer 2.wav,nxSample-158.wav,Pushing Trolley.wav
-A rainstorm is going and the windows are hitting the house.,Heavy wind and rain.wav,20100110.rain.marshes.wav,Rain 02 091012.wav,"Wind in a tree, close to the foliage.wav",Fountain at place pigale - Paris - France.wav,13_Rain_onGrassStone_Gutter_44_16.wav,Rain_Patter_01.wav,20070610.thunder.wav,sw_thunder_03.wav,Storm in the mountain forest of Parc regional des Cevennes_1.wav
-someone has started a motorbike and drove away.,street.wav,Cicada.1.45.wav,Coming into a hospital in saturday.wav,01451 war scene arrangement 1.wav,motors-moteurs.wav,NY 176andSt.Nicholas AMB.wav,indoors empty bar noisy ambient 2.wav,Neighbourhood Ambiance.wav,rutting deer 2.wav,City Street.wav
-Rain is coming heavily with thunder and the birds are chirping.,"Wind in a tree, close to the foliage.wav",very strong thunder by fresco.wav,inicio.wav,Heavy wind and rain.wav,20070610.thunder.wav,Rain And Birds Chirping Krucifix Productions Sound Effects.wav,thunderstorm_4.wav,Rain falling and thunder clapping in a storm.wav,thunder_nl.wav,sw_thunder_03.wav
-A wind chime sounds while birds chirp in the background.,ambient_sound.wav,Desert at Night.wav,1_ambiente inicio.wav,spider_monkeys.wav,screech_owl.wav,Rain And Birds Chirping Krucifix Productions Sound Effects.wav,The Commons.wav,pineforest winter NL SHORT 130110_00.wav,Sk310308 chaffinch crow.wav,In an English Suburban Garden.wav
-woman are laughing loudly and gang found happy with that.,lachen.wav,applause_and_whistle.wav,Baby throwing sand all over the place.wav,grilla_garden_ambience.wav,city pond ducks yell.wav,DallasWorldAquarium01.wav,20060129.scrub.04.wav,UoA_PJ120202_HighStAlleyEch.wav,Next To School in Street Ambience.wav,noise pollution in a city park.wav
-A person is ringing the calling bell for two times.,templebell.wav,Bell Ring.R.wav,Wine glass hits.wav,metal-bowl-long-decay.wav,Doorsbell.wav,Bell7.wav,church bell_ljubljana.wav,bikebell.wav,3overtones.wav,Pounding a metal stake with hammer v2.wav
-A person is throwing wood items in a room.,hits_bathroomStomp.wav,closing washing machine.wav,Blinds being opened and closed quickly and slowly.wav,kitchen indoor atmosphere.wav,RowanMagennis_160019_SD100_DeadBodyHitsWoodenFloor.wav,foley noisy chair moving standing up different speed.wav,door walking exit.wav,Drawers.wav,fist bang 2.wav,Walking Downstairs.wav
-A household washing machine spinning while washing clothes.,dishwasher01.wav,ambiant hangar sound.wav,130915 - Interior Room - Hard Rain on Flat Roof.wav,WM_drain_pre_spin_cycle_24_96_mono.wav,indoors WC bathroom ambient room tone.wav,washing_machine_beginning.wav,jetengines.wav,Rain_Patter_01.wav,gootsteen.wav,"wind, basement, dripping water.wav"
-Water is splashing and bubbling while quietly roaring in the background.,LakeWavesOct25th2015.wav,Splashing in water.wav,Waves at the edge of Bosphorus.wav,river_small_close_01.wav,WS RunningWater.wav,drainage pipe running.wav,Water on tarp 2.wav,waves and that helicopter.wav,131227_strumyk_2.wav,20130825-Water-fountain-Slavonice.wav
-Someone is cleaning an object that has a slippery surface with a piece of cloth.,Foley Man Collapsing.wav,Melon Stabs (Juicy).wav,Washing short hair.wav,Brushing Hair.wav,Scraping of a Carpet with a Brush.wav,entering shower moving curtain raffle raffling foley VARIOUS TAKES.wav,Walking Downstairs.wav,"Footsteps, slippers dragging on tile.wav",icesplashes3.wav,closing washing machine.wav
-A woman is talking into loudspeakers over a crowd of people and music.,Ambience outside a series of restaurants.wav,Kurla local train station Mumbai (1).wav,jf Resonant Space.wav,BigCrowdBigHall.wav,Kurla local train station Mumbai (2).wav,160718 HSN spanish fish market.wav,times_square.wav,Mall Ambient.wav,20091217.20.pedestrians.wav,Amusement Park (Ambience).wav
-when typing keyboard is making a beeping noise.,Short circuit.wav,type writer.wav,telefono_en_espera.wav,DeLisa Foley clicky robot talk 02.wav,Kitchen Timer Ticking Long.wav,wine_glasses_drying_bottom_up (miroslawski.net).wav,Squeaking of door handle and rumbling of door.wav,Analog Wall Clock.wav,texting with i-phone.wav,WOF_slots5.wav
-A large truck comes to a stop with its air brakes and then accelerates away.,110719_glasgowdemolish.wav,Diesel truck and small car.wav,Bus sound.wav,stoplight.wav,Engine Reving.wav,DH12_141Tram1.wav,psikedelic.wav,Boulevard with motorbike.wav,130916 General Paz y Panamericana.wav,Travers.wav
-Lightning strikes two times with the first being louder.,Thunderstrikes very close.wav,NM-Mejor-Lado-Thunder-01.wav,Thunder (Olympus LS-20M).wav,0808091.wav,thunder002.wav,fireworkslong2.wav,Thunder Sounds Long.wav,very strong thunder by fresco.wav,ThreeFireworks.wav,Torden og lynild 3.wav
-The wind is blowing in a tube as it makes some music.,Mouth Wind Howling.wav,synthwind.wav,bright_wind.wav,radio_am_01.wav,Synth Wind.wav,Desert at Night.wav,AMB_traffic_night_distant_02.wav,CP_Whipping_Wind_Storm_Medium01.wav,earthkiller background 1.wav,screech_owl.wav
-A person is shaking the paint bottle to flow easily.,Fire crackling.wav,Pecan nuts cracked open.wav,Pills02.wav,envelope.wav,Plastic bag crumple.wav,AlexandreJourdan_2013_s2.wav,160170_Gravel_OWI.wav,Glass crushed 1.wav,wine_glasses_drying_bottom_up (miroslawski.net).wav,trolley wheels foley-mg.wav
-A person is walking with longer steps in night.,footsteps-gravel-birds.wav,footsteps in woods.wav,Walking on Wood Floor.wav,Footsteps Dirt 02.wav,nia walking.wav,Footsteps on Wood floor 1.wav,3 persons walking slowly on grass noisy ambient 2.wav,20060510.walk.scrub.wav,running_forest_snow.wav,plastic foil (outdoor recording).wav
-series of fingers hitting a desk/table continuously.,md1trk13.wav,hits_bathroomStomp.wav,foley noisy chair moving standing up different speed.wav,RowanMagennis_160019_SD100_DeadBodyHitsWoodenFloor.wav,pukanie1.wav,Squeaking of door handle and rumbling of door.wav,screenplayTheater__footsteps_leatherSoles-onWood.wav,settingdownglassbottle.wav,window rapping.wav,fist bang 2.wav
-It is an announcement in railways and it is a woman was announcing.,Kurla local train station Mumbai (1).wav,Kurla local train station Mumbai (2).wav,UoA_NuLibraryGlassLift_1202.wav,Tea Garden Outside Ambience.wav,160718 HSN spanish fish market.wav,24 may 2011.wav,In_a_que01.wav,Ambience outside a series of restaurants.wav,Inside Car Ambience Next to School More Quiet Version.wav,110420-001_openair_cafe_karlsruhe_Schlosscafe.wav
-A sleigh bell is being shaken so it jingles.,Key Jingling.wav,bikebell.wav,metallic_crackle.wav,Bell7.wav,Bell from large rabbit plush.wav,Rustling keys.wav,Bell Ring.R.wav,Wine glass hits.wav,20061214.wrench.01.wav,templebell.wav
-People doing welding work at an  welding station.,balloonburner.wav,PS3F_FOZ_centro_Mufato_anuncio2_tarde.wav,3 persons walking slowly on grass noisy ambient 2.wav,PS3F_FOZ_centro_Mufato_carrinhos_tarde.wav,aup.wav,indoors ambient room tone 1.wav,Inside Car Ambience Next to School More Quiet Version.wav,Water on Coal.wav,market1.wav,md1trk18.wav
-someone is to try to open a iron gate with keys.,abandoned-ballroom-objects-wood-metal.wav,entering1.wav,20091226.soft.door.wav,Coming into a hospital in saturday.wav,Squeaking of door handle and rumbling of door.wav,Bell from large rabbit plush.wav,Footsteps on Wood floor 1.wav,Key Jingling.wav,Ambience_hurricane tube_low freq.wav,kitchen indoor atmosphere.wav
-someone is playing a video game who takes place in a different world.,20110823_mountain.01.wav,radio_am_01.wav,vendedor_ambulante.wav,Ousman Ramble.wav,rutting deer 2.wav,church_bell_song.wav,steps in the station.wav,110719_glasgowdemolish.wav,plastic foil (outdoor recording).wav,01451 war scene arrangement 1.wav
-A machine which is cutting an object fast and loud.,JM_MACHINE_Coffee Machine 01 - Office.wav,sd_coffee3.wav,ambiant hangar sound.wav,kitchen refrigerator working.wav,refrigerator buzzing.wav,Construction Work 1 - 44.1kHz16Bit - Measurement Mirophone - Mono - TASCAM_DR40 - normalized - fade in and fade out low-3.wav,lift_relais.wav,washing_machine_beginning.wav,departing_train.wav,Machine.wav
-After rain is over the remaining drops of water is falling in the ground.,Fountain at place pigale - Paris - France.wav,"Rain next to open window, dog barks in the distance.wav",Rain 02 091012.wav,Heavy wind and rain.wav,creek_tyrol_austria.wav,"Wind in a tree, close to the foliage.wav",13_Rain_onGrassStone_Gutter_44_16.wav,White Water.wav,StreamPTDMos.wav,RainFallsThruTinGutterMcCoy.wav
-A person walks through a quiet area that is also populated.,3 persons walking slowly on grass noisy ambient 2.wav,footsteps-gravel-birds.wav,Footsteps on Wood floor 1.wav,footsteps in woods.wav,Footsteps Dirt 02.wav,20060510.walk.scrub.wav,20060129.scrub.04.wav,running_forest_snow.wav,Walking on Wood Floor.wav,Footsteps on Crunchy Snow.wav
-A bell is being rung persistently and a young child is speaking.,toy_tower.wav,Lisbon&#39;s church.wav,Inside Servaas Church 01 100411.wav,Pounding a metal stake with hammer v2.wav,shopper_atmos.wav,Old alarm clock (ticking and ringing).wav,160718 HSN spanish fish market.wav,20101118.omnium.sanctorum.wav,Bell Ring.R.wav,church_bell_song.wav
-A person is working on the steel parts.,20091226.squeaky.door.wav,Footsteps on Wood floor 1.wav,closing washing machine.wav,entering1.wav,Coming into a hospital in saturday.wav,indoors ambient room tone 1.wav,Walking Downstairs.wav,20091226.soft.door.wav,entering shower moving curtain raffle raffling foley VARIOUS TAKES.wav,door walking exit.wav
-Sheep are bleating ceremoniously as a dog barks in the background.,sheep calling her baby lambs.wav,20080302.sheeps.close.wav,Sheep bleating.wav,redbarn_feeding-horses.wav,stray_dogs.wav,Ambience - Pig Pen - Day - 96kHzsssssss.wav,harbour scene 2.wav,grilla_garden_ambience.wav,City Traffic (Outdoor).wav,city pond ducks yell.wav
-A train is passing by while cars drive by.,DH12_141Tram1.wav,110719_glasgowdemolish.wav,vertrek.wav,Train Mill Hill v1.wav,"Train Passing, Close, Left to Right, B.wav",AMB_Ext_Residential_Day_Stereo_002.wav,"Sredniy Nikolopeskovsky lane, evening ambiance.wav","Amtrak Crescent and Commuter Train, Left to Right.wav",istanbul tram.wav,TREIN3.wav
-A loud unadjusted shaving machine that is connected to power source.,25_MIXER.wav,JM_MACHINE_Coffee Machine 01 - Office.wav,Electromagnetic Waves on a Macbook Pro.wav,nxSample-158.wav,Construction Work 1 - 44.1kHz16Bit - Measurement Mirophone - Mono - TASCAM_DR40 - normalized - fade in and fade out low-3.wav,refrigerator buzzing.wav,Coffee Machine - Brew 1.wav,bitmapnoise3.wav,stereo noise experiment 130820.wav,IRON_SLIDE.wav
-A wind up device is wound and then rewound a few times.,windy day indoors windows rattle.wav,Mouth Wind Howling.wav,jetengines.wav,natural_wind.wav,bebops_wind1.wav,Neighborhood Ambiance.wav,AMB_traffic_night_distant_02.wav,CFX-20130331-UK-DorsetSeaCliff07.wav,rockonice.wav,Fake Wind - Blowing into the Mic - 30 sec.wav
-Someone in an auto repair shop is tightening or loosening lug nuts with an air tool.,Construction Work 1 - 44.1kHz16Bit - Measurement Mirophone - Mono - TASCAM_DR40 - normalized - fade in and fade out low-3.wav,Electromagnetic Waves on a Macbook Pro.wav,sd_coffee3.wav,Blinds being opened and closed quickly and slowly.wav,JM_MACHINE_Coffee Machine 01 - Office.wav,Remove crashed glass.wav,nxSample-158.wav,PS3F_FOZ_centro_Mufato_carrinhos_tarde.wav,Office environment.wav,20061214.wrench.01.wav
-A crowd of people are chanting and shouting as a car drives past.,Oxford Cambridge boat race 2010.wav,times_square.wav,wien_demo.wav,jf Resonant Space.wav,F-1-race-cars-restart-1stLap-Turn11-DR081.wav,20110212_mercado.05.wav,"Call to Prayer, Old Dehli.wav",Ambience outside a series of restaurants.wav,Amusement Park (Ambience).wav,20100806.stockholm.street.ambiance.wav
-pieces of metal makes noise as they are being scattered around the floor.,Snapping Stick.wav,plastic foil (outdoor recording).wav,walking on lava.wav,Footsteps on Wood floor 1.wav,footsteps-gravel-birds.wav,Chewing_Fx.wav,Glasses Kitchen_IO.wav,WaterDrops.wav,3 persons walking slowly on grass noisy ambient 2.wav,fly 1 sands_05.wav
-The oceans waves are hitting the beach and birds are chirping.,CFX-20130331-UK-DorsetHarbour02.wav,Day 10 10th July acclivity Seaside Town Soundscape.wav,bebops_wind2.wav,Sea Waves Splash the Beach on the Isle of Wight Coast.wav,pineforest winter NL SHORT 130110_00.wav,Desert at Night.wav,Rain And Birds Chirping Krucifix Productions Sound Effects.wav,The Commons.wav,Pirita Storm waves06.12.2015.wav,Storm wind.wav
-A wood cutting machine at a mill is continuously running and two cutting strokes takes place.,ambiant hangar sound.wav,JM_MACHINE_Coffee Machine 01 - Office.wav,Construction Work 1 - 44.1kHz16Bit - Measurement Mirophone - Mono - TASCAM_DR40 - normalized - fade in and fade out low-3.wav,WM_drain_pre_spin_cycle_24_96_mono.wav,sd_coffee3.wav,bumble bee web.wav,lift_relais.wav,faucet2.wav,raindrops on metal_police background.wav,Machine.wav
-A person is starting the machine in the workshop.,JM_MACHINE_Coffee Machine 01 - Office.wav,sd_coffee3.wav,refrigerator buzzing.wav,dremmel-noise2.wav,washing_machine_beginning.wav,Interference3.wav,JM_NOIZ_Buzz 01 - Neon Light.wav,bitmapnoise3.wav,kitchen refrigerator working.wav,Electromagnetic Waves on a Macbook Pro.wav
-The phone is ringing continuously but no one is answering.,telefono_en_espera.wav,telephone ring.wav,Hair Clippers 2.wav,Bell7.wav,BRITISH PHONE.wav,Short circuit.wav,KMC_Bell_Ring_01.wav,resonante bass ring-15.J.wav,GobletPing2LHR.wav,texting with i-phone.wav
-A sport car moving longside a siren fitted vehicle.,Sirena_24.05.11.wav,Whelen Piercer.wav,ship horn.wav,STREET_AMBULANCE_01.wav,police motorcycle distance to stop.wav,"Sredniy Nikolopeskovsky lane, evening ambiance.wav",PlanetaryAndXporterSingleLoop_STTOS_recreated.wav,Ambulence - WARNING LOUD.wav,traffic from inside an apartment.wav,stoplight.wav
-Continuous bubbles being blown and popped in a liquid.,Water_bubbles_stereo_StereoPiezo_44_24.wav,gootsteen.wav,water blups.wav,ambient bubbling liquid.wav,drainage pipe running.wav,20130825-Water-fountain-Slavonice.wav,Running water 20121021T2335.wav,creekclose.wav,Stream Running Into Pond.wav,Water on tarp 2.wav
-Echoing ambience of people talking continues on as a squeaky door is opened and closed.,steps in the station.wav,indoors house ambient living room tone distant neighbours and traffic.wav,Cityscape 02 100208.wav,tube_arriving.wav,UoA_Kcq_voices2_120224.wav,01451 war scene arrangement 1.wav,erilee_tram_over_bridge.wav,istanbul tram.wav,inside an old factory under recustruction.wav,Travers.wav
-someone is using closing and opening a zip a lot of times.,FX_Closing Sqeezing Wooden Door.wav,closing washing machine.wav,door_squeaky.wav,Gun Handling.wav,Squeaking of door handle and rumbling of door.wav,creaky-door-11.wav,entering1.wav,ouverture-contenair_1.wav,hits_bathroomStomp.wav,RKeaton_EMF366_3_Water In Glass Bottle with Metal Cap.wav
-Rain drops while birds chirp in the background and vehicles drive by.,The Commons.wav,Heavy wind and rain.wav,Rain 02 091012.wav,Rain And Birds Chirping Krucifix Productions Sound Effects.wav,"Wind in a tree, close to the foliage.wav",spider_monkeys.wav,Rural nightfall atmos.wav,Japan_Yukinoura_Bamboo_Forest_and_Road_.wav,rainy alleyway.wav,pineforest winter NL SHORT 130110_00.wav
-Operating a sewing machine strongly and at a high speed.,JM_MACHINE_Coffee Machine 01 - Office.wav,sd_coffee3.wav,Sewing_machine_OWI.wav,Closing automatic garage door.wav,ModernSewingMachine.wav,25_MIXER.wav,Construction Work 1 - 44.1kHz16Bit - Measurement Mirophone - Mono - TASCAM_DR40 - normalized - fade in and fade out low-3.wav,refrigerator buzzing.wav,kitchen refrigerator working.wav,WM_drain_pre_spin_cycle_24_96_mono.wav
-Someone is using a hammer to bang repeatedly on wood.,door walking exit.wav,Door pounding - increasing intensity.wav,fist bang 2.wav,echo_ljubljana_castle.wav,closing washing machine.wav,pukanie1.wav,entering1.wav,150209 Trevor Webb Snooker.wav,Metal_Tin_Hit_bang.wav,Opening Closing old oven.wav
-Some pieces of paper are being ripped up.,Washing short hair.wav,Melon Stabs (Juicy).wav,Cash Money sounds_fieldtapes.wav,Brushing Hair.wav,bread_in_toaster.wav,Cutting paper.wav,envelope.wav,"Footsteps, slippers dragging on tile.wav",Clothing Rubbing Foley Sound.wav,Booklet_-_Leaf_through_02_L_Close_R_Distant.wav
-The sound is from the factory by the machine.,ambiant hangar sound.wav,20091217.05.street.cleaning.wav,refrigerator buzzing.wav,Apartment Ambiance 2.wav,traffic from inside an apartment.wav,WM_drain_pre_spin_cycle_24_96_mono.wav,lift_relais.wav,NY 176andSt.Nicholas AMB.wav,City Street.wav,bath room fan.wav
-Frog is shout it in the water and give one noise.,2_frogs_qinghua.wav,alabamaFrogs.wav,Clark&#39;s Nutcrackers 01.wav,Birds and insects in the wetlands of Melissant.wav,Waterflow_Ib.wav,Stream trickling with small waterfall close by.wav,creekclose.wav,Espresso Machine.wav,Vieques night soundscape 10-10-10.wav,drainage pipe running.wav
-"Someone approaching, opening a creaky door, then shutting the creaky door.",door_squeaky.wav,FX_Closing Sqeezing Wooden Door.wav,Opening and Closing an old Glass Door.wav,creaky-door-11.wav,Squeaky Windshield Wipers.wav,door sound.wav,Coming into a hospital in saturday.wav,Elevator Ride and Door Open Merchants Bldg.wav,bread_machine_1.wav,Squeaking of door handle and rumbling of door.wav
-People sing and play instruments while others talk and then clap.,train-station-Rajasthan.wav,Busy Drug Store.wav,Inside Servaas Church 01 100411.wav,20091214.christmas.song.wav,BigCrowdBigHall.wav,In_a_que01.wav,Ousman Ramble.wav,toy_tower.wav,20110212_mercado.05.wav,20091217.20.pedestrians.wav
-A person is scratching something to make a hallow and inconsistent sound.,md1trk13.wav,erasing 1.wav,Foley Man Collapsing.wav,Filing Nail.wav,Scraping of a Carpet with a Brush.wav,Brushing Hair.wav,stretch .wav,Writing_Fx.wav,150209 Trevor Webb Teeth Brushing.wav,foley noisy chair moving standing up different speed.wav
-Machinery is operating in a circular motion and bangs periodically.,ambiant hangar sound.wav,refrigerator buzzing.wav,lift_relais.wav,bath room fan.wav,Apartment Ambiance 2.wav,dumpster truck.wav,20091217.05.street.cleaning.wav,indoors WC bathroom ambient room tone.wav,WM_drain_pre_spin_cycle_24_96_mono.wav,Ambience_hurricane tube_low freq.wav
-An apartment fire alarm goes off continuously while a child is speaking in the background.,Sound_FX_dishmachine_digital.wav,Apartment Ambiance 2.wav,Inside Car Ambience Next to School More Quiet Version.wav,20110823_mountain.01.wav,Sirena_24.05.11.wav,vendedor_ambulante.wav,traffic from inside an apartment.wav,dog howl in woods.wav,indoors house ambient living room tone distant neighbours and traffic.wav,Omni_Ambiental_ParkingLot.wav
-A metal drum makes sound as its being hit with metal.,clang_metal_(hit).wav,Ambience_hurricane tube_low freq.wav,Hammering_Empty tank_large_CLOSE.wav,safe deposit box lock-unlock.wav,kettle-watergong3.wav,contact_mic_on_satellite_dish09.wav,Hammering on Anvil.wav,Metal_Tin_Hit_bang.wav,04122 metallic cinematic hits.wav,clunks_in_water.wav
-Something makes a faint tapping sound as a jet aircraft passes overhead.,5_Navy-Blue-Angels-jets_CLIP.wav,treinREM2.wav,airliner_ascend.wav,thunder wind 02.wav,jetengines.wav,Ambience of the battle field2.wav,Tornado Left To  Right.wav,2009-07-23_1554_Serralves Park Airplane flying by.wav,Synth Wind.wav,traffic-construction-noise.wav
-An engine is running as three vehicles pass by.,traffic_night_street.wav,Diesel truck and small car.wav,traffic at green light.wav,Highway Traffic_1-2.wav,Japan_Yukinoura_Bamboo_Forest_and_Road_.wav,Engine Reving.wav,tata_hungary__ady_endre_road_20080718.wav,psikedelic.wav,Boulevard with motorbike.wav,german motorway or the autobahn.wav
-It is like ambulance siren and it is moving fast.,Ambulence - WARNING LOUD.wav,STREET_AMBULANCE_01.wav,police motorcycle distance to stop.wav,Sirena_24.05.11.wav,Whelen Piercer.wav,vendedor_ambulante.wav,Synth Wind.wav,FIRE ENGINE long approach and drive away.wav,004-Ambient Recording at Saint-Augustin (FR 7pm in October).wav,PlanetaryAndXporterSingleLoop_STTOS_recreated.wav
-A instrumental sound for a short time and a person is speaking.,Hair Clippers 2.wav,IRON_SLIDE.wav,trolley car B.wav,Windermere Ferry Door Closing.wav,thebit2.wav,water jugs.wav,Tone Shift.wav,Windchimes + Neighborhood Mutt.wav,vendedor_ambulante.wav,radio_am_01.wav
-The insects makes noisy sound mostly at night.,AugustNightInCornField.wav,Cicada 1.wav,August night.wav,20060804.marshes.cricket02.wav,greece_naxos_cicadas_6.wav,Cricket2.wav,Crickets Night 2.wav,Night in nature 2.wav,20060426.marsh.crikets.bee-eaters.stereo.wav,high park crickets.3.wav
-Crickets are chirping at different levels of volume.,AugustNightInCornField.wav,August night.wav,Cicada 1.wav,20060804.marshes.cricket02.wav,Night in nature 2.wav,Crickets Night 2.wav,"Insects in the herbs of the plain, thunders in background.wav",20060426.marsh.crikets.bee-eaters.stereo.wav,Tokyo-cicadas.wav,20070628.casual.ambiance.wav
-Crickets are awake and being loud with their sounds while some cars drive past.,Cricket2.wav,Cicada.1.45.wav,AugustNightInCornField.wav,hereg_hungary__car_passing_by_1_20080712.wav,Crickets Night 2.wav,high park crickets.3.wav,hereg_hungary__car_passing_by_2_20080712.wav,Cicada 1.wav,20110903_cycadas.n.wind.06.wav,August night.wav
-Someone is walking and birds are singing faintly.,footsteps-gravel-birds.wav,footsteps in woods.wav,nia walking.wav,Walking on Wood Floor.wav,20060510.walk.scrub.wav,running_forest_snow.wav,the sound of melting snow on the path high in the mountains - front.wav,Footsteps Dirt 02.wav,3 persons walking slowly on grass noisy ambient 2.wav,horse in woods 130213_00.wav
-clanging of metallic objects against themselves and then being put down.,Glasses Kitchen_IO.wav,Bell from large rabbit plush.wav,bruits.chute.petite.urne.gravillons.wav,object falls on wood.wav,abandoned-ballroom-objects-wood-metal.wav,kitchen indoor atmosphere.wav,3overtones.wav,Pounding a metal stake with hammer v2.wav,Metal_Tin_Hit_bang.wav,clunks_in_water.wav
-A animal is playing some sound in the forest.,August night.wav,Night in nature 2.wav,AugustNightInCornField.wav,Tokyo-cicadas.wav,20070628.casual.ambiance.wav,high park crickets.3.wav,"Insects in the herbs of the plain, thunders in background.wav",Cricket2.wav,070821_flsp_narrows.wav,20060426.marsh.crikets.bee-eaters.stereo.wav
-A car is approaching and screeching it's tires and a woman laughs.,bike race 05.wav,tata_hungary__ady_endre_road_20080718.wav,street.wav,Japan_Yukinoura_Bamboo_Forest_and_Road_.wav,Place Pigalle ambience Paris.wav,Neighbourhood Ambiance.wav,Highway Traffic_1-2.wav,Diesel truck and small car.wav,Boulevard with motorbike.wav,Crossroads with traffic lights #1.wav
-heavy rain with thunder and lightning storm environment.,very strong thunder by fresco.wav,thunder_nl.wav,Rain falling and thunder clapping in a storm.wav,LightningCrash.wav,rain_villaverde1.wav,Torden og lynild 3.wav,20070610.thunder.wav,Storm in the mountain forest of Parc regional des Cevennes_1.wav,thunderstorm_4.wav,0808091.wav
-Low dragged out growl that pauses and comes back in a lower and longer tone.,radio_am_01.wav,rutting deer 2.wav,ambient bubbling liquid.wav,014_House_Fan.wav,trame5_5.wav,Mouth Wind Howling.wav,Voktebef_I&#39;m not sure if I&#39;m here.wav,earthkiller background 1.wav,Interference3.wav,Pad_1_w_melody.wav
-"Geese are honking ever louder, then fading away.",Canada geese.wav,Old metal pail.wav,sheep calling her baby lambs.wav,20080302.sheeps.close.wav,city pond ducks yell.wav,ship horn.wav,004-Ambient Recording at Saint-Augustin (FR 7pm in October).wav,20080321.warbler.n.dogs.wav,single bird.wav,rutting deer 2.wav
-A woman is trembling and falling of the wooden sounds well.,Ball bouncing.wav,RainFallsonUmbrellaMcCoy.wav,jetengines.wav,Paper_Shake.wav,Microwave1.wav,bath room fan.wav,natural_wind.wav,thunder wind 02.wav,water blups.wav,FootstepsOnaDock.wav
-A slow sound becomes faster and faster at the end.,CR SharktoGnawAmb.wav,stretch .wav,water blups.wav,graveylargo.wav,014_House_Fan.wav,RainFallsonUmbrellaMcCoy.wav,ambient bubbling liquid.wav,novasound7100.wav,"wind, basement, dripping water.wav",bath room fan.wav
-Heavy rainfall as someone walks through puddles of water.,Rain 02 091012.wav,Fountain at place pigale - Paris - France.wav,Heavy wind and rain.wav,rainy alleyway.wav,"Rain next to open window, dog barks in the distance.wav",White Water.wav,Rain_Patter_01.wav,"Wind in a tree, close to the foliage.wav",20100110.rain.marshes.wav,Heavy Rain tin roof.wav
-A lawnmower or other tractor device being used outside.,engine boat passing by.wav,arrancada i aturada de la moto.wav,TAMPER_0332.wav,03199 power generator construction place .wav,cinemato.wav,ATV foley &amp; drive in woods - Reverberant [ST].wav,Rain on the Window Sill (indoors).wav,FP_Diesel_Tractor_Start_Run.wav,bumble bee web.wav,11_car_radio.wav
-walking in the path and it is rain in the area.,rainy alleyway.wav,"Wind in a tree, close to the foliage.wav",Rain 02 091012.wav,Heavy wind and rain.wav,RainFallsonUmbrellaMcCoy.wav,Heavy Rain tin roof.wav,"Rain next to open window, dog barks in the distance.wav",20100110.rain.marshes.wav,rainy morning in town.wav,13_Rain_onGrassStone_Gutter_44_16.wav
-Convenience store door opening bell rings and the bell echo continues for a while and dies out.,Doorsbell.wav,More Bells.wav,church bell_ljubljana.wav,templebell.wav,20060729.lid.wav,metal-bowl-long-decay.wav,Bell Ring.R.wav,1167church_clock_striking_ten.wav,20101118.omnium.sanctorum.wav,bikebell.wav
-A person is trying to taking the rusting bucket.,Foley Man Collapsing.wav,foley noisy chair moving standing up different speed.wav,entering shower moving curtain raffle raffling foley VARIOUS TAKES.wav,Brushing Hair.wav,closing washing machine.wav,Scraping of a Carpet with a Brush.wav,Blinds being opened and closed quickly and slowly.wav,Walking Downstairs.wav,plastic foil (outdoor recording).wav,Walking on Wood Floor.wav
-WInd chymes being hit by wind making a beautiful melody.,crossing bells.wav,"wind, basement, dripping water.wav",THAI GONG3.wav,clunks_in_water.wav,20060729.lid.wav,templebell.wav,resonante bass ring-15.J.wav,Hammering_Empty tank_large_CLOSE.wav,Mouth Wind Howling.wav,Klangschale weich ff.wav
-A printer beeps and then proceeds to start running.,md3trk7.wav,Fan noise.wav,Short circuit.wav,bread_machine_1.wav,raindrops on metal_police background.wav,Office environment.wav,traffic from inside an apartment.wav,ambiant hangar sound.wav,sd_coffee3.wav,antique-sawmill-01.wav
-Someone is frantically knocking on a door and the knocks get louder.,door walking exit.wav,pukanie1.wav,fist bang 2.wav,RowanMagennis_160019_SD100_DeadBodyHitsWoodenFloor.wav,entering1.wav,150209 Trevor Webb Snooker.wav,FX_Closing Sqeezing Wooden Door.wav,closing washing machine.wav,Opening Closing old oven.wav,door_squeaky.wav
-Some people are speak very loudly in public place and made one energy at a time.,Ambience outside a series of restaurants.wav,jf Resonant Space.wav,16 coffee shop ambience.wav,Mall Ambient.wav,Cafe 1.wav,Portugese Fish Market.wav,stenochscentre.wav,08-Bakken_RacingCars.wav,BigCrowdBigHall.wav,20110212_mercado.05.wav
-Emptying a liquid from one vessel to another then throwing the container a way.,gootsteen.wav,Plastic Rain Barrel long.wav,Water_bubbles_stereo_StereoPiezo_44_24.wav,Water plopping in pulling out small object.wav,dishwasher01.wav,Washing and scrubbing.wav,Draining Kitchen Sink by Fajack.wav,"Water - Leak, small.wav",Plastic Rain Barrel short.wav,Dropping water.wav
-Three times a loud sound is audible at a regular interval.,screech_owl.wav,bath room fan.wav,Cicada 1.wav,Crickets Night 2.wav,Desert at Night.wav,PlanetaryAndXporterSingleLoop_STTOS_recreated.wav,crossing bells.wav,"wind, basement, dripping water.wav",stray_dogs.wav,resonante bass ring-15.J.wav
-Someone opens a squeaky wooden door and then pressed a button that makes a beeping sound.,creaky-door-11.wav,FX_Closing Sqeezing Wooden Door.wav,door walking exit.wav,door_squeaky.wav,Squeaky Windshield Wipers.wav,door sound.wav,Squeaking of door handle and rumbling of door.wav,Short circuit.wav,Old metal pail.wav,entering1.wav
-A machine echoing in a basement and then fading out.,refrigerator buzzing.wav,bath room fan.wav,ambiant hangar sound.wav,indoors WC bathroom ambient room tone.wav,NY 176andSt.Nicholas AMB.wav,kitchen refrigerator working.wav,Apartment Ambiance 2.wav,earthkiller background 1.wav,dumpster truck.wav,washing_machine_beginning.wav
-peoples making noises in a mega super  market.,maastricht town sounds.wav,Ousman Ramble.wav,20091217.20.pedestrians.wav,platform.wav,SR005F.wav,begin-metro-BCN.wav,In_a_que01.wav,shopper_atmos.wav,toy_tower.wav,PS3F_FOZ_centro_Mufato_anuncio2_tarde.wav
-A machine buzzing that gets slightly louder over time.,JM_MACHINE_Coffee Machine 01 - Office.wav,refrigerator buzzing.wav,kitchen refrigerator working.wav,JM_NOIZ_Buzz 01 - Neon Light.wav,Espresso Machine.wav,Interference3.wav,Coffee Machine - Brew 1.wav,014_House_Fan.wav,Microwave 01.wav,washing_machine_beginning.wav
-A food item is unwrapped from a cellophane wrapper and then eaten.,nxSample-158.wav,Smoke.wav,Plastic bag crumple.wav,Fire crackling.wav,AlexandreJourdan_2013_s2.wav,envelope.wav,RainFallsonUmbrellaMcCoy.wav,fly 1 sands_05.wav,Rain_Patter_01.wav,footsteps_pebble_each_01.wav
-a person is pressing flush after using the toilet.,"Toilet flushing, water filling bowl.wav",Toilet Flush Krucifix Productions Sound Effects.wav,Draining Kitchen Sink by Fajack.wav,Shower Turn on - Turn off.wav,Toilet 2.wav,FLUSH .wav,sink1.wav,dishwasher01.wav,Plastic Rain Barrel long.wav,bathroom_water_tap_on_fill_off_drain_24_96_stereo.wav
-A person is doing work with tools that makes this sound.,Gun Cleaning.wav,ambiant hangar sound.wav,lift_relais.wav,traffic from inside an apartment.wav,indoors ambient room tone 1.wav,NY 176andSt.Nicholas AMB.wav,HARDWARE STORE ROOMTONE.wav,Wailing Wind.wav,Foley Man Collapsing.wav,indoors WC bathroom ambient room tone.wav
-A stationary vehicle sounds its horn near bystanders.,ship horn.wav,004-Ambient Recording at Saint-Augustin (FR 7pm in October).wav,Cicada.1.45.wav,motors-moteurs.wav,City Street.wav,JM_MACHINE_Coffee Machine 01 - Office.wav,Sirena_24.05.11.wav,refrigerator buzzing.wav,Hair Clippers 2.wav,Interference3.wav
-"A drum is hit loudly, water splashes softly, people talk, and then the stick rolls on the floor.",20110823_mountain.01.wav,water jugs.wav,Oxford Cambridge boat race 2010.wav,08-Bakken_RacingCars.wav,amsterdam bijmer station escalator.wav,inside an old factory under recustruction.wav,balloonburner.wav,Inside Car Ambience Next to School More Quiet Version.wav,bathtub feet squeek with water splashes .wav,Noise and Walking 2.wav
-Papers are being stapled together in groups in a rhythm.,Polaroid Camera Shot.wav,bread_in_toaster.wav,Cash Money sounds_fieldtapes.wav,fliping paper.wav,Cutting paper.wav,newport-hotel-door-slam.wav,plants-watering.wav,Walking Downstairs.wav,Footsteps on Wood floor 1.wav,Washing short hair.wav
-A man is yelling with an echoing voice while cars honk and a whistle blows.,vendedor_ambulante.wav,Place Pigalle ambience Paris.wav,F-1-race-cars-restart-1stLap-Turn11-DR081.wav,City Traffic (Outdoor).wav,Cityscape 02 100208.wav,gaunermarkt_werbung.wav,Oxford Cambridge boat race 2010.wav,02-BikeDemo_Chimes_Speak.wav,times_square.wav,ship horn.wav
-A tractor or other outside device is consistently running and picking up something.,engine boat passing by.wav,City Street.wav,Diesel train arrives and departs 1.wav,20091217.05.street.cleaning.wav,WM_drain_pre_spin_cycle_24_96_mono.wav,dumpster truck.wav,Engine Reving.wav,psikedelic.wav,Roof with fans.wav,Diesel truck and small car.wav
-lots of cars are driving on a busy road.,traffic_night_street.wav,traffic at green light.wav,german motorway or the autobahn.wav,Place Pigalle ambience Paris.wav,Diesel truck and small car.wav,street.wav,Crossroads with traffic lights #1.wav,Boulevard with motorbike.wav,DH12_141Tram1.wav,tata_hungary__ady_endre_road_20080718.wav
-People are talking when a loud bang happens when people quite and then two people talk.,inside an old factory under recustruction.wav,20110823_mountain.01.wav,begin-metro-BCN.wav,Oxford Cambridge boat race 2010.wav,balloonburner.wav,PS3F_FOZ_centro_Mufato_anuncio2_tarde.wav,stenochscentre.wav,shopper_atmos.wav,20110212_mercado.05.wav,city town Havana afternoon balcony.wav
-Several birds are all chirping at one time.,Birds and Nature.wav,Ambient noise Kauai.wav,spider_monkeys.wav,ambient_sound.wav,nightbird.wav,20060607.bird.gone.nuts.wav,Budgies Chirping 2.wav,Birds_Singing.wav,In an English Suburban Garden.wav,Sk310308 chaffinch crow.wav
-A foot is stomping around on the floor.,Footsteps Dirt 02.wav,Walking on Wood Floor.wav,Footsteps on Wood floor 1.wav,20091226.squeaky.door.wav,Walking Downstairs.wav,footsteps-gravel-birds.wav,running_forest_snow.wav,3 persons walking slowly on grass noisy ambient 2.wav,Footsteps on Hard Floor.wav,footsteps_pebble_each_01.wav
-Someone walking closer and louder then a door is opened and shut.,Footsteps on Wood floor 1.wav,Walking on Wood Floor.wav,door walking exit.wav,entering1.wav,footsteps-gravel-birds.wav,20091226.soft.door.wav,20091226.squeaky.door.wav,20150330_11.wooden.floor.night.MS.wav,closing washing machine.wav,Walking Downstairs.wav
-a man is talking and opening a packaging.,POTATO_CHIP_BAG OPEN.wav,Washing short hair.wav,Pills .wav,fly 1 sands_05.wav,bread_in_toaster.wav,Eating a TicTac.wav,Footsteps on Crunchy Snow.wav,pepper grinder.wav,envelope.wav,160170_Gravel_OWI.wav
-Reverb from an audio system blasts into the air and reverberates over time softening.,earthkiller background 1.wav,Mouth Wind Howling.wav,Underground Parking Ambience.wav,City House Ambience.wav,resonante bass ring-15.J.wav,thunder wind 02.wav,Voktebef_I&#39;m not sure if I&#39;m here.wav,radio_am_01.wav,room tone empty train station quiet.wav,Apartment Ambiance 2.wav
-Motor is running for a longer time at a regular time interval.,Microwave 01.wav,bath room fan.wav,20091217.05.street.cleaning.wav,ambiant hangar sound.wav,City House Ambience.wav,WM_drain_pre_spin_cycle_24_96_mono.wav,refrigerator buzzing.wav,kitchen refrigerator working.wav,room tone empty train station quiet.wav,car moving 01.wav
-Rain first slows down and falling heavier for a particular time.,"Wind in a tree, close to the foliage.wav",Fountain at place pigale - Paris - France.wav,RainFallsThruTinGutterMcCoy.wav,"Rain next to open window, dog barks in the distance.wav",Rain 02 091012.wav,RainFallsonUmbrellaMcCoy.wav,Heavy wind and rain.wav,Heavy Rain tin roof.wav,13_Rain_onGrassStone_Gutter_44_16.wav,20100110.rain.marshes.wav
-Group of people are talking in a event.,Cafe 1.wav,110420-001_openair_cafe_karlsruhe_Schlosscafe.wav,BigCrowdBigHall.wav,Ambience outside a series of restaurants.wav,Twee dozen aardbeien.wav,Binnenrotte market live 100309.wav,Public Place.wav,In_a_que01.wav,Carmel Market.wav,korea_flohmarkt.wav
-Bells are ringing and musical instruments are playing in the function.,church_bell_song.wav,Inside Servaas Church 01 100411.wav,crossing bells.wav,cowbells1.wav,Carillon Servaas Church 100411.wav,20090419.san.pedro.bells.wav,popibuuns.wav,1167church_clock_striking_ten.wav,after nine.wav,Bell7.wav
-Church bell ringing and a door is opened.,church bell_ljubljana.wav,20101118.omnium.sanctorum.wav,More Bells.wav,Marble Church.wav,20060730.bells.wav,Lisbon&#39;s church.wav,Doorsbell.wav,Bell Ring.R.wav,templebell.wav,1167church_clock_striking_ten.wav
-A person is warming after rain in the house.,Fountain at place pigale - Paris - France.wav,RainFallsonUmbrellaMcCoy.wav,Rain 02 091012.wav,Heavy Rain tin roof.wav,130915 - Interior Room - Hard Rain on Flat Roof.wav,RainFallsThruTinGutterMcCoy.wav,"Wind in a tree, close to the foliage.wav",StreamPTDMos.wav,Heavy wind and rain.wav,WM_drain_pre_spin_cycle_24_96_mono.wav
-A man coughing loudly and found that he got fever.,Help Me.wav,indoors dorm dormitory ambient room tone closed window distant noises neighbours.wav,foley noisy chair moving standing up different speed.wav,Drinking Water and refreshing sigh.wav,md1trk13.wav,Foley Man Collapsing.wav,rutting deer 2.wav,Broom brushing on mat.wav,Tap Drip Vox inc reverb.wav,door walking exit.wav
-A vehicle's engine and the screeching of brakes.,Diesel truck and small car.wav,Boulevard with motorbike.wav,psikedelic.wav,Neighbourhood Ambiance.wav,Japan_Yukinoura_Bamboo_Forest_and_Road_.wav,Engine Reving.wav,stoplight.wav,traffic_night_street.wav,street.wav,german motorway or the autobahn.wav
-A large group of seagulls caw loudly and continuously.,crows and owl.wav,AMB_CityPark_Day_Seagull_People.wav,09-07-15_2053_Small place near metro station Faria Guimaraes in the evening.wav,Neighbourhood Ambiance.wav,20070628.casual.ambiance.wav,Ambient noise Kauai.wav,ambient_sound.wav,Clark&#39;s Nutcrackers 01.wav,Helicopter and crows passing overhead.wav,grilla_garden_ambience.wav
-Some water is being splashed around in the rain.,Fountain at place pigale - Paris - France.wav,RainFallsThruTinGutterMcCoy.wav,WATER SHOWER 001.wav,White Water.wav,Rain_Patter_01.wav,20130825-Water-fountain-Slavonice.wav,13_Rain_onGrassStone_Gutter_44_16.wav,"Rain next to open window, dog barks in the distance.wav",20100110.rain.marshes.wav,StreamPTDMos.wav
-"a ball bounces twice, then three times quickly, a chair slides, a ball bounces again.",door walking exit.wav,fist bang 2.wav,pukanie1.wav,Door pounding - increasing intensity.wav,RowanMagennis_160019_SD100_DeadBodyHitsWoodenFloor.wav,foley footsteps walking in room indoors.wav,Foley Man Collapsing.wav,closing washing machine.wav,Walking on Wood Floor.wav,Auto_Door_Open_Close.wav
-Rain falls heavily while birds chirp in the background.,Rain And Birds Chirping Krucifix Productions Sound Effects.wav,The Commons.wav,"Wind in a tree, close to the foliage.wav",Heavy wind and rain.wav,Rain 02 091012.wav,"Rain next to open window, dog barks in the distance.wav",Heavy Rain tin roof.wav,EXT Quiet Valley.wav,inicio.wav,Fountain at place pigale - Paris - France.wav
-It's like the air is coming out of something.,Electromagnetic Waves on a Macbook Pro.wav,bitmapnoise3.wav,ambiant hangar sound.wav,synthwind.wav,refrigerator buzzing.wav,Mouth Wind Howling.wav,bath room fan.wav,City House Ambience.wav,earthkiller background 1.wav,stereo noise experiment 130820.wav
-the engine of a plane is while its stationary.,graveylargo.wav,departing_train.wav,office.refrigerator.wav,kitchen refrigerator working.wav,City House Ambience.wav,refrigerator buzzing.wav,bath room fan.wav,faucet2.wav,room tone empty train station quiet.wav,20091217.05.street.cleaning.wav
-Some machinery is turning on with men shouting to each other.,Apartment Ambiance 2.wav,Oxford Cambridge boat race 2010.wav,City Street.wav,RomaBenzinaioGas_viaPomonte.wav,130916 General Paz y Panamericana.wav,traffic from inside an apartment.wav,indoors house ambient living room tone distant neighbours and traffic.wav,WM_drain_pre_spin_cycle_24_96_mono.wav,Street scene in Bangkok.wav,City Traffic (Outdoor).wav
-Three men are talking and a television plays in the background.,110420-001_openair_cafe_karlsruhe_Schlosscafe.wav,Tea Garden Outside Ambience.wav,Busy Dining Room Atmos.wav,Quiet Chat.wav,UoA_NuLibraryGlassLift_1202.wav,people chatting background.wav,Cafe 1.wav,160718 HSN spanish fish market.wav,In_a_que01.wav,Portugese Fish Market.wav
-The air comes out as if it were coming uniformly.,Stanley Knife Scraping Macbook.wav,Machine.wav,faucet2.wav,departing_train.wav,25_MIXER.wav,20091217.05.street.cleaning.wav,014_House_Fan.wav,ambiant hangar sound.wav,WM_drain_pre_spin_cycle_24_96_mono.wav,graveylargo.wav
-toilet being flushed after use with a mild vibrating sound.,Draining Kitchen Sink by Fajack.wav,"Toilet flushing, water filling bowl.wav",Toilet 2.wav,Toilet Flush Krucifix Productions Sound Effects.wav,dishwasher01.wav,FLUSH .wav,Shower Turn on - Turn off.wav,Plastic Rain Barrel long.wav,Plastic Rain Barrel short.wav,Dropping water.wav
-hanging pieces of a chandelier are being moved around and are rustling.,bread_in_toaster.wav,Glass crushed 1.wav,Washing short hair.wav,light.wav,footsteps_pebble_each_01.wav,Footsteps on Wood floor 1.wav,160170_Gravel_OWI.wav,Fire crackling.wav,20091226.squeaky.door.wav,envelope.wav
-water is leaking in drops slowly more water splash.,Rain_Patter_01.wav,shower short.wav,"Water - Leak, small.wav",20130825-Water-fountain-Slavonice.wav,Washing and scrubbing.wav,lavar platos.wav,drainage pipe running.wav,icesplashes3.wav,WATER DRIP 2 ECHO LOW PITCH.wav,gotes lent.wav
-One vehicle is move one place to other place with high speed.,Diesel truck and small car.wav,german motorway or the autobahn.wav,Japan_Yukinoura_Bamboo_Forest_and_Road_.wav,psikedelic.wav,City Street.wav,Neighbourhood Ambiance.wav,Rural nightfall atmos.wav,traffic_night_street.wav,street.wav,Engine Reving.wav
-An orchestra finishing a song and the crowd applauding.,ending.applause.wav,applause_and_whistle.wav,static choppy 1400 kHz.wav,20091214.christmas.song.wav,jf Resonant Space.wav,"Call to Prayer, Old Dehli.wav",train-station-Rajasthan.wav,Sao_Paulo_Liberdade_Forro_2014_10_12.wav,wien_demo.wav,Cafe 1.wav
-"Tweeting of an animal, thumbing of an item bing put down and someone walking by.",EnterGate.wav,spider_monkeys.wav,wine_glasses_drying_bottom_up (miroslawski.net).wav,Helicopter and crows passing overhead.wav,COUNTRY-farm-yard.wav,Squeaky Windshield Wipers.wav,Pushing Trolley.wav,nia walking.wav,footsteps-gravel-birds.wav,The Commons.wav
-the airplane is flying in the sky in high pressure.,spaced.wav,graveylargo.wav,departing_train.wav,faucet2.wav,2009-07-23_1554_Serralves Park Airplane flying by.wav,Tornado Left To  Right.wav,treinREM2.wav,20110903_cycadas.n.wind.06.wav,Stanley Knife Scraping Macbook.wav,Synth Wind.wav
-A person is rapping their knuckles on a surface.,texting with i-phone.wav,various slap takes.wav,Tortured Apple 02.wav,playing chess.wav,indoors dorm dormitory ambient room tone closed window distant noises neighbours.wav,Match being lit.wav,Footsteps Dirt 02.wav,foley footsteps walking in room indoors.wav,opening and swallowing pills.wav,Help Me.wav
-"The door opens with squeaky hinges, shoes then tap on the floor and the door closes with squeaky hinges.",entering1.wav,door_squeaky.wav,door walking exit.wav,FX_Closing Sqeezing Wooden Door.wav,big wooden door open close.wav,Opening and closing a big old door.wav,creaky-door-11.wav,Walking on Wood Floor.wav,20091226.squeaky.door.wav,Footsteps on Wood floor 1.wav
-The wind is blowing heavily to clean the machine in the factory.,CP_Whipping_Wind_Storm_Medium01.wav,Waves near the dock.wav,windy day indoors windows rattle.wav,AMB_traffic_night_distant_02.wav,bright_wind.wav,synthwind.wav,5. Apartment ambience inside room.wav,Siberian Weather Front 5 PM 110304.wav,room tone empty train station quiet.wav,Mouth Wind Howling.wav
-The birds are chirping and a train is passing by the station.,AMB_Ext_Residential_Day_Stereo_002.wav,spider_monkeys.wav,Neighbourhood Ambiance.wav,004-Ambient Recording at Saint-Augustin (FR 7pm in October).wav,Sk310308 chaffinch crow.wav,Birds and Nature.wav,Morning Ambience city.wav,ambient_sound.wav,street.wav,The Commons.wav
-Formula one cars are cruising on the racecourse.,F-1-race-cars-restart-1stLap-Turn11-DR081.wav,german motorway or the autobahn.wav,Engine Reving.wav,Boulevard with motorbike.wav,CP_Whipping_Wind_Storm_Medium01.wav,Diesel truck and small car.wav,bath room fan.wav,synthwind.wav,spaced.wav,traffic_night_street.wav
-Birds and insects are chirping  around the place.,20060426.marsh.crikets.bee-eaters.stereo.wav,20060804.marshes.cricket02.wav,Night in nature 2.wav,Tokyo-cicadas.wav,August night.wav,Cricket2.wav,AugustNightInCornField.wav,high park crickets.3.wav,Cicada 1.wav,greece_naxos_cicadas_6.wav
-A machine spins and buzzes harshly while continuously running.,JM_MACHINE_Coffee Machine 01 - Office.wav,refrigerator buzzing.wav,kitchen refrigerator working.wav,Coffee Machine - Brew 1.wav,Electromagnetic Waves on a Macbook Pro.wav,JM_NOIZ_Buzz 01 - Neon Light.wav,Espresso Machine.wav,bitmapnoise3.wav,Interference3.wav,Apartment Ambiance 2.wav
-Loud constant scopes with pauses and single scrapes.,Remulada.wav,Stanley Knife Scraping Macbook.wav,md1trk13.wav,stretch .wav,Paper_Shake.wav,Filing Nail.wav,Scraping of a Carpet with a Brush.wav,150209 Trevor Webb Teeth Brushing.wav,Electromagnetic Waves on a Macbook Pro.wav,nxSample-158.wav
-A cash register being opened showing little ding noises.,Office environment.wav,md3trk7.wav,weights rope.wav,Bell from large rabbit plush.wav,Fan noise.wav,Coming into a hospital in saturday.wav,bread_machine_1.wav,turning door lock.wav,creaky-door-11.wav,Short circuit.wav
-An alarm going off outside with a bit of wind.,crossing bells.wav,screech_owl.wav,Desert at Night.wav,AMB_traffic_night_distant_02.wav,"Insects in the herbs of the plain, thunders in background.wav",PlanetaryAndXporterSingleLoop_STTOS_recreated.wav,STEREO INTERFERENCE.wav,Ambience_Outdoor_Wind_Birds.wav,1_ambiente inicio.wav,bright_wind.wav
-The movement of the train and touching in the track.,Moscow metro journey.wav,vertrek.wav,Train Plan V 090627.wav,110719_glasgowdemolish.wav,2 Subway Nice Place to Live.wav,Noise and Walking 2.wav,TREIN3.wav,istanbul tram.wav,WasherEndWashCycleStartSpinCycle.wav,metro underground  ambient opening closing doors noisy transport catalan spanish barcelona.wav
-Men and women are singing a song while others talk in the background.,Kurla local train station Mumbai (1).wav,BigCrowdBigHall.wav,110420-001_openair_cafe_karlsruhe_Schlosscafe.wav,people chatting background.wav,160718 HSN spanish fish market.wav,Ambience outside a series of restaurants.wav,Binnenrotte market live 100309.wav,In_a_que01.wav,Cafe 1.wav,Kurla local train station Mumbai (2).wav
-Continuous 8-bit arcade game sounds that are building in pitch.,church_bell_song.wav,popibuuns.wav,Apartment Ambiance 2.wav,20110823_mountain.01.wav,church organ 2.wav,Inside Servaas Church 01 100411.wav,Voktebef_I&#39;m not sure if I&#39;m here.wav,radio_am_01.wav,The Commons.wav,NEW INTRO FEB 2012 TDAR.wav
-A person is typing document using type writer.,type writer.wav,Squeaking of door handle and rumbling of door.wav,Kitchen Timer Ticking Long.wav,fliping paper.wav,Polaroid Camera Shot.wav,wine_glasses_drying_bottom_up (miroslawski.net).wav,turning door lock.wav,dognailsonlinoleum.wav,Pills02.wav,DVD Cases.wav
-A car revs up its engine multiple times.,CarStart Idle Rev.wav,Engine Reving.wav,Diesel truck and small car.wav,bath room fan.wav,Crossroads with traffic lights #1.wav,motors-moteurs.wav,Boulevard with motorbike.wav,F-1-race-cars-restart-1stLap-Turn11-DR081.wav,car moving 01.wav,dumpster truck.wav
-Nuts are being roasted in a metal cooking device.,nxSample-158.wav,Remove crashed glass.wav,Wheat ears shaken.wav,20061214.wrench.01.wav,Blinds being opened and closed quickly and slowly.wav,metallic_crackle.wav,Key Jingling.wav,Construction Work 1 - 44.1kHz16Bit - Measurement Mirophone - Mono - TASCAM_DR40 - normalized - fade in and fade out low-3.wav,Mechanical office sharpener.wav,different variations of taring material.wav
-Many people are clapping and making sound as an appreciation of performance.,applause_and_whistle.wav,ending.applause.wav,wien_demo.wav,20110212_mercado.05.wav,lachen.wav,20091214.christmas.song.wav,trolley wheels foley-mg.wav,RainFallsonUmbrellaMcCoy.wav,"Call to Prayer, Old Dehli.wav",Cafe 1.wav
-An emergency siren is repeatedly going off at the same speed constantly.,PlanetaryAndXporterSingleLoop_STTOS_recreated.wav,Sirena_24.05.11.wav,police motorcycle distance to stop.wav,Ambulence - WARNING LOUD.wav,Whelen Piercer.wav,Synth Wind.wav,crossing bells.wav,sirenaWAV.wav,004-Ambient Recording at Saint-Augustin (FR 7pm in October).wav,FIRE ENGINE long approach and drive away.wav
-A man is talking and the birds are chirping sweetly on the background.,"Village Square, Kardamyli, Ciccadas and distant chat.wav",An English Country Garden in July.wav,Tokyo-cicadas.wav,sparrows_berlin.wav,swifts 2.wav,Small italian village - Quite afternoon.wav,Ambient noise Kauai.wav,20060426.marsh.crikets.bee-eaters.stereo.wav,vendedor_ambulante.wav,ambient_sound.wav
-A crowd of people talk as a machine  hums loudly.,BigCrowdBigHall.wav,Ambience outside a series of restaurants.wav,Cafe 1.wav,Tea Garden Outside Ambience.wav,trolley car B.wav,160718 HSN spanish fish market.wav,Portugese Fish Market.wav,16 coffee shop ambience.wav,people chatting background.wav,Oxford Cambridge boat race 2010.wav
-A large amount of fireworks were set off at once.,Fireworks_Amsterdam_48_24.wav,Fireworks_2_Amsterdam_48_24.wav,RainFallsonUmbrellaMcCoy.wav,stereo noise experiment 130820.wav,BodyDrag2.wav,03480 static white noise.wav,plastic foil (outdoor recording).wav,nxSample-158.wav,strange sounding firework rocket explosions.wav,md1trk18.wav
-A bird is chirping with an echo in the background.,ambient_sound.wav,screech_owl.wav,spider_monkeys.wav,Birds and Nature.wav,nightbird.wav,Birds of Noosa Biosphere Reserve.wav,20070628.casual.ambiance.wav,Ambient noise Kauai.wav,In an English Suburban Garden.wav,pineforest winter NL SHORT 130110_00.wav
-Heavy wind is blowing against some paper that some fly off.,CP_Whipping_Wind_Storm_Medium01.wav,Waves near the dock.wav,synthwind.wav,AMB_traffic_night_distant_02.wav,windy day indoors windows rattle.wav,plastic foil (outdoor recording).wav,Neighborhood Ambiance.wav,natural_wind.wav,Ambience of the battle field2.wav,Mouth Wind Howling.wav
-"An insect chirps steadily while light rain pours, the chirping intensifies at the end.",Rain And Birds Chirping Krucifix Productions Sound Effects.wav,20060804.marshes.cricket02.wav,high park crickets.3.wav,Cicada 1.wav,20070628.casual.ambiance.wav,Tokyo-cicadas.wav,Birds and insects in the wetlands of Melissant.wav,August night.wav,Waterflow_Ib.wav,20060426.marsh.crikets.bee-eaters.stereo.wav
-a lid is dropped then screwed back on.,object falls on wood.wav,bruits.chute.petite.urne.gravillons.wav,clunks_in_water.wav,3overtones.wav,Gun Handling.wav,Bell from large rabbit plush.wav,Glasses Kitchen_IO.wav,Tool Box.wav,clang_metal_(hit).wav,Key Jingling.wav
-An ambulance is going in middle of a crowded road.,STREET_AMBULANCE_01.wav,Place Pigalle ambience Paris.wav,Oxford Cambridge boat race 2010.wav,BangkokMarket.wav,City Traffic (Outdoor).wav,bike race 05.wav,Ambience outside a series of restaurants.wav,Ambulence - WARNING LOUD.wav,BigCrowdBigHall.wav,20100806.stockholm.street.ambiance.wav
-"Kids are talking, birds are chirping in the background suddenly people are running.",sparrows_berlin.wav,noise pollution in a city park.wav,city park Tel Aviv.wav,09-07-15_2053_Small place near metro station Faria Guimaraes in the evening.wav,swifts 2.wav,Small italian village - Quite afternoon.wav,Ambience outside a series of restaurants.wav,UoA_Kcq_voices2_120224.wav,20100806.stockholm.street.ambiance.wav,20091217.20.pedestrians.wav
-An underground electric train arriving at a station.,Travers.wav,2 Subway Nice Place to Live.wav,NY 176andSt.Nicholas AMB.wav,"Sredniy Nikolopeskovsky lane, evening ambiance.wav",110719_glasgowdemolish.wav,Moscow metro journey.wav,vertrek.wav,OMV_02.wav,Roof with fans.wav,subway train.L.wav
-A man and woman are talking and a car alarm goes off.,vendedor_ambulante.wav,Cityscape 02 100208.wav,Subway to Namba St. .wav,Tea Garden Outside Ambience.wav,Apartment Ambiance 2.wav,24 may 2011.wav,Place Pigalle ambience Paris.wav,130916 General Paz y Panamericana.wav,Neighbourhood Ambiance.wav,indoors house ambient living room tone distant neighbours and traffic.wav
-A coconut is being chopped at with a machete to open it.,Pushing Trolley.wav,Waves at the edge of Bosphorus.wav,Fire Crackle with Roaring Chimney.wav,wine_glasses_drying_bottom_up (miroslawski.net).wav,Footsteps Water 01.wav,icesplashes3.wav,WaterDrops.wav,footsteps_pebble_each_01.wav,Tortured Apple 02.wav,stones on thin ice.wav
-A piece of metal is cut throw a machine.,lift_relais.wav,Construction Work 1 - 44.1kHz16Bit - Measurement Mirophone - Mono - TASCAM_DR40 - normalized - fade in and fade out low-3.wav,ambiant hangar sound.wav,Ambience_hurricane tube_low freq.wav,dumpster truck.wav,JM_MACHINE_Coffee Machine 01 - Office.wav,refrigerator buzzing.wav,sd_coffee3.wav,Machine.wav,departing_train.wav
-A person is shaking out some sheets to fluff them up.,Washing short hair.wav,Brushing Hair.wav,Foley Man Collapsing.wav,"Footsteps, slippers dragging on tile.wav",screenplayTheater__footsteps_leatherSoles-onWood.wav,erasing 1.wav,Clothing Rubbing Foley Sound.wav,Melon Stabs (Juicy).wav,Walking on Wood Floor.wav,foley noisy chair moving standing up different speed.wav
-Someone is breaking sticks from tree for camp fire,Pushing Trolley.wav,plastic foil (outdoor recording).wav,RainFallsonUmbrellaMcCoy.wav,Very loud thunder clap.wav,Snapping Stick.wav,WaterDrops.wav,footsteps_pebble_each_01.wav,Footsteps Dirt 02.wav,envelope.wav,Tortured Apple 02.wav
-Women are talking while they wash dishes and scrape dishes while a radio plays music.,Busy Drug Store.wav,160718 HSN spanish fish market.wav,trolley car B.wav,toy_tower.wav,0129 Big_shop.wav,Tea Garden Outside Ambience.wav,Amusement Park (Ambience).wav,GORAZD_0075_Omori_Pachinko.wav,20091217.20.pedestrians.wav,church_bell_song.wav
-Someone is walking in water on a riverside.,20060129.scrub.04.wav,Waves at the edge of Bosphorus.wav,Splashing in water.wav,Footsteps Water 01.wav,20110903_splashing.walk.wav,rbh Waves Lake Medium 01.wav,icesplashes3.wav,gravel walking.wav,20060510.walk.scrub.wav,footsteps-gravel-birds.wav
-Birds singing  loudly with dog barking on the background.,20080321.warbler.n.dogs.wav,outdoors ambient distant village 2.wav,Ambient noise Kauai.wav,stray_dogs.wav,004-Ambient Recording at Saint-Augustin (FR 7pm in October).wav,Birds and Nature.wav,Sk310308 chaffinch crow.wav,An English Country Garden in July.wav,20070628.casual.ambiance.wav,spider_monkeys.wav
-"a man talkin, with a kid laughing along with him, the kid spoke with a woman speaking along too.",Twee dozen aardbeien.wav,Binnenrotte market live 100309.wav,110420-001_openair_cafe_karlsruhe_Schlosscafe.wav,city park Tel Aviv.wav,people_sitting_by_fire.wav,korea_flohmarkt.wav,Kids GardenHose 130723_02.wav,20100806.stockholm.street.ambiance.wav,Cafe 1.wav,people chatting background.wav
-Water is falling from a water fall while kids yell in the background.,20110823_mountain.01.wav,Fountain at place pigale - Paris - France.wav,Oxford Cambridge boat race 2010.wav,forestandocean.wav,Loch-Ness-At-night.wav,atmo__wind_leaves_water_traffic.wav,CFX-20130331-UK-DorsetHarbour02.wav,river_small_close_01.wav,Stream trickling with small waterfall close by.wav,08-Bakken_RacingCars.wav
-Poorly tuned radio the radio waves are unstable.,Waves near the dock.wav,Electromagnetic Waves on a Macbook Pro.wav,TONE pink noise  44.1 16bit.wav,20110823_mountain.01.wav,Wind in trees-force8-night.wav,bright_wind.wav,Sea Waves Splash the Beach on the Isle of Wight Coast.wav,Wasserfall 2.wav,03480 static white noise.wav,CFX-20130331-UK-DorsetSeaBeach02.wav
-Chefs are cleaning up in the kitchen of a busy restaurant.,CafeAmbience.wav,Busy Drug Store.wav,begin-metro-BCN.wav,PS3F_FOZ_centro_Mufato_carrinhos_tarde.wav,16 coffee shop ambience.wav,160718 HSN spanish fish market.wav,PS3F_FOZ_centro_Mufato_anuncio2_tarde.wav,SR005F.wav,Grocery Shop Atmos.wav,Noise and Walking 2.wav
-Engines are revving and horns are honking in traffic.,Boulevard with motorbike.wav,Place Pigalle ambience Paris.wav,motors-moteurs.wav,traffic at green light.wav,Diesel truck and small car.wav,City Traffic (Outdoor).wav,tata_hungary__ady_endre_road_20080718.wav,traffic_night_street.wav,City Street.wav,110719_glasgowdemolish.wav
-A person wearing boots is walking with heavy footsteps.,footsteps-gravel-birds.wav,Footsteps Dirt 02.wav,Walking on Wood Floor.wav,running_forest_snow.wav,footsteps in woods.wav,Footsteps on Wood floor 1.wav,nia walking.wav,Footsteps on Hard Floor.wav,24 hn_footstepsSneakerConcreteSnow.wav,FootstepsOnaDock.wav
-"A bell rings and then stops, and repeats the same process over severally.",templebell.wav,church bell_ljubljana.wav,20060730.bells.wav,Lisbon&#39;s church.wav,metal-bowl-long-decay.wav,Inside Servaas Church 01 100411.wav,1167church_clock_striking_ten.wav,20101118.omnium.sanctorum.wav,cowbells1.wav,20060729.lid.wav
-A ball falling down stairs and several others start following.,echo_ljubljana_castle.wav,Footsteps Dirt 02.wav,20150712_underground.parking.wav,door walking exit.wav,foley footsteps walking in room indoors.wav,strange sounding firework rocket explosions.wav,Door pounding - increasing intensity.wav,Walking on Wood Floor.wav,Footsteps on Hard Floor.wav,20091226.squeaky.door.wav
-People are talking outside while cars and busses drive by.,20100806.stockholm.street.ambiance.wav,BangkokMarket.wav,Place Pigalle ambience Paris.wav,Oxford Cambridge boat race 2010.wav,aup.wav,Ousman Ramble.wav,bike race 05.wav,City Traffic (Outdoor).wav,noise pollution in a city park.wav,09-07-15_2053_Small place near metro station Faria Guimaraes in the evening.wav
-cleaning the surface or sweeping with broom loudly.,Scraping of a Carpet with a Brush.wav,Dry Erase.wav,"Footsteps, slippers dragging on tile.wav",3 persons walking slowly on grass noisy ambient 2.wav,Filing Nail.wav,Washing short hair.wav,Brushing Hair.wav,plants-watering.wav,md1trk18.wav,Clothing Rubbing Foley Sound.wav
-A rattlesnake rattles its tail loudly and then gets slightly quieter.,RainFallsonUmbrellaMcCoy.wav,plastic foil (outdoor recording).wav,nxSample-158.wav,BodyDrag2.wav,drainage pipe running.wav,WaterDrops.wav,Water on Coal.wav,Fire Crackle with Roaring Chimney.wav,leaves_on_the_wind.wav,Rain_Patter_01.wav
-Crackers are cracking continuously in the function to show the happy mood.,Rain on the Window Sill (indoors).wav,wine_glasses_drying_bottom_up (miroslawski.net).wav,Pushing Trolley.wav,150209 Trevor Webb Teeth Brushing.wav,footsteps_pebble_each_01.wav,Smoke.wav,3 persons walking slowly on grass noisy ambient 2.wav,redbarn_feeding-horses.wav,Stones sound.wav,Rain_Patter_01.wav
-A musical instrument is playing nicely by a person.,church_bell_song.wav,radio_am_01.wav,Voktebef_I&#39;m not sure if I&#39;m here.wav,NEW INTRO FEB 2012 TDAR.wav,german motorway or the autobahn.wav,street.wav,Synth Wind.wav,synthwind.wav,thebit2.wav,bright_wind.wav
-"Someone slowly opens a plastic bag, crinkling the bag softly.",envelope.wav,Footsteps on Crunchy Snow.wav,AlexandreJourdan_2013_s2.wav,Melon Stabs (Juicy).wav,160170_Gravel_OWI.wav,Washing short hair.wav,gravel walking.wav,Plastic bag crumple.wav,footsteps_pebble_each_01.wav,fly 1 sands_05.wav
-someone is looking for something in a plastic bag.,Footsteps on Crunchy Snow.wav,envelope.wav,footsteps_pebble_each_01.wav,20060510.walk.scrub.wav,gravel walking.wav,walk_hard_snow.wav,Melon Stabs (Juicy).wav,Washing short hair.wav,AlexandreJourdan_2013_s2.wav,fly 1 sands_05.wav
-A person is washing dishes and placing them in their respective areas.,Ambient washing dishes.wav,ambiant hangar sound.wav,indoors WC bathroom ambient room tone.wav,amsterdam bijmer station escalator.wav,gotes mig.wav,water jugs.wav,indoors ambient room tone 1.wav,gotes lent.wav,SuctionTool.wav,kitchen indoor atmosphere.wav
-Manny different birds chirp while a jet passes over.,20160610_fading.plane.forest.wav,Helicopter and crows passing overhead.wav,Sk310308 chaffinch crow.wav,004-Ambient Recording at Saint-Augustin (FR 7pm in October).wav,street.wav,spider_monkeys.wav,pineforest winter NL SHORT 130110_00.wav,ambient_sound.wav,"Insects in the herbs of the plain, thunders in background.wav",Neighbourhood Ambiance.wav
-Chopping Wood Sound  frequently in rhyming  effect continuously.,pukanie1.wav,Ball bouncing.wav,screenplayTheater__footsteps_leatherSoles-onWood.wav,Metal_Tin_Hit_bang.wav,settingdownglassbottle.wav,boxes_falling_down_stairs_01.wav,playing chess.wav,Knife hit on Bread Board.wav,Chalk Writing - Slow.wav,Door pounding - increasing intensity.wav
-"A train is coming closer and closer, then passes","Train Passing, Close, Left to Right, B.wav","Amtrak Crescent and Commuter Train, Left to Right.wav",passage_tgv.wav,vertrek.wav,kamakura_train.wav,Metropassingclose(L-R).wav,Moscow metro journey.wav,TREIN3.wav,Train Plan V 090627.wav,Class 31 No 31108 at Sutton Cross Halt.wav
-Bells ringing and echoing to a melody outside.,Carillon Servaas Church 100411.wav,church bell_ljubljana.wav,Lisbon&#39;s church.wav,20090419.san.pedro.bells.wav,20101118.omnium.sanctorum.wav,20060730.bells.wav,Marble Church.wav,Inside Servaas Church 01 100411.wav,1167church_clock_striking_ten.wav,crossing bells.wav
-people speaking in the town space and it found to be rush area.,110420-001_openair_cafe_karlsruhe_Schlosscafe.wav,Quiet Chat.wav,16 coffee shop ambience.wav,20110212_mercado.05.wav,In_a_que01.wav,Ambience outside a series of restaurants.wav,jf Resonant Space.wav,Cafe 1.wav,Bar atmosphere - Not So Busy.wav,Outside UU FSW 080701.wav
-A bird is chirping outside with other nature oriented sounds happening in the background.,ambient_sound.wav,screech_owl.wav,Birds and Nature.wav,Sk310308 chaffinch crow.wav,20070628.casual.ambiance.wav,nightbird.wav,spider_monkeys.wav,Ambient noise Kauai.wav,In an English Suburban Garden.wav,"Insects in the herbs of the plain, thunders in background.wav"
-A person is making noises while the wind is blowing.,AMB_traffic_night_distant_02.wav,Mouth Wind Howling.wav,windy day indoors windows rattle.wav,Wailing Wind.wav,jetengines.wav,Desert at Night.wav,Neighborhood Ambiance.wav,Waves near the dock.wav,synthwind.wav,CP_Whipping_Wind_Storm_Medium01.wav
-A train passes by and the railway crossing bell keeps ringing.,MetroTrain.wav,train11.wav,kamakura_train.wav,vertrek.wav,TREIN3.wav,"Amtrak Crescent and Commuter Train, Left to Right.wav",md9trk2.wav,bangalore_zug_schnell.wav,backhoes.wav,Class 31 No 31108 at Sutton Cross Halt.wav
-A man is encouraging loudly and he is roaring like lion.,rutting deer 2.wav,Vocal Strain - Unprocessed.wav,"Call to Prayer, Old Dehli.wav",IRON_SLIDE.wav,Before-After Remix of 53263__stomachache__pterodactyl.wav,gaunermarkt_werbung.wav,trame5_5.wav,contact_mic_on_satellite_dish09.wav,Synth Wind.wav,thebit2.wav
-"A knob is turned, and water flows and gurgles down the drain.",gotes mig.wav,gotes lent.wav,lavar platos.wav,sink1.wav,Water plopping in pulling out small object.wav,bathroomSink1.wav,shower short.wav,dishwasher01.wav,"Water - Leak, small.wav",Rain_Patter_01.wav
-Few birds are chipping  where people are having some conversation on back ground.,sparrows_berlin.wav,noise pollution in a city park.wav,Small italian village - Quite afternoon.wav,city town Havana afternoon balcony.wav,swifts 2.wav,20100806.stockholm.street.ambiance.wav,09-07-15_2053_Small place near metro station Faria Guimaraes in the evening.wav,korea_flohmarkt.wav,Ambience outside a series of restaurants.wav,market1.wav
-"A whirring device spins continuously, a loud saw briefly cuts something.",kitchen refrigerator working.wav,JM_MACHINE_Coffee Machine 01 - Office.wav,departing_train.wav,Machine.wav,25_MIXER.wav,sd_coffee3.wav,newport-hotel-blow-drier.wav,Electromagnetic Waves on a Macbook Pro.wav,faucet2.wav,WASHER machine 2.wav
-"Steam hisses, getting louder and louder while a car passes by.",faucet2.wav,breath003.wav,hereg_hungary__car_passing_by_1_20080712.wav,bath room fan.wav,FLUSH .wav,2 Subway Nice Place to Live.wav,indoors WC bathroom ambient room tone.wav,Dry Erase.wav,20091217.05.street.cleaning.wav,balloonburner.wav
-"Birds chirp and warble loudly, while a bee buzzes.",An English Country Garden in July.wav,Birds and Nature.wav,soundscape forest.wav,Cicada.1.45.wav,20070628.casual.ambiance.wav,20060620.ambiance.forest.summer01.wav,Tokyo-cicadas.wav,Birds and insects in the wetlands of Melissant.wav,Buzzbees.wav,"Insects in the herbs of the plain, thunders in background.wav"
-A person raps on a hollow wall and looks for places where it is not hollow.,clunks_in_water.wav,Vocal Strain - Unprocessed.wav,IRON_SLIDE.wav,contact_mic_on_satellite_dish09.wav,Wine glass hits.wav,Water_bubbles_stereo_StereoPiezo_44_24.wav,metal-bowl-long-decay.wav,Bell from large rabbit plush.wav,3overtones.wav,Hammering_Empty tank_large_CLOSE.wav
-Ocean waves splash heavily in an irregularly frequent cycle.,waves recording.wav,rbh Waves Lake Medium 01.wav,Sea Waves Splash the Beach on the Isle of Wight Coast.wav,Pirita Storm waves06.12.2015.wav,Waves on to rocks.wav,Waves near the dock.wav,CP_Whipping_Wind_Storm_Medium01.wav,Wind in trees-force8-night.wav,CFX-20130331-UK-DorsetSeaBeach02.wav,waves and that helicopter.wav
-a flight getting off while it's raining really badly.,Fountain at place pigale - Paris - France.wav,Rain 02 091012.wav,Heavy Rain tin roof.wav,"Rain next to open window, dog barks in the distance.wav",RainFallsThruTinGutterMcCoy.wav,Heavy wind and rain.wav,WATER SHOWER 001.wav,creek_tyrol_austria.wav,13_Rain_onGrassStone_Gutter_44_16.wav,inicio.wav
-A tone is being made by an electronic wind instrument.,AMB_traffic_night_distant_02.wav,Mouth Wind Howling.wav,room tone empty train station quiet.wav,Synth Wind.wav,crossing bells.wav,refrigerator buzzing.wav,"wind, basement, dripping water.wav",bright_wind.wav,thunder wind 02.wav,german motorway or the autobahn.wav
-"A machine makes a rhythmic repetitive low pitched sound, stops, starts more softly, and then rises again in volume.",refrigerator buzzing.wav,kitchen refrigerator working.wav,014_House_Fan.wav,JM_MACHINE_Coffee Machine 01 - Office.wav,Interference3.wav,JM_NOIZ_Buzz 01 - Neon Light.wav,Espresso Machine.wav,Espresso.wav,bath room fan.wav,room tone empty train station quiet.wav
-A tractor is revving up it's engine very loud.,Engine Reving.wav,ATV foley &amp; drive in woods - Reverberant [ST].wav,Diesel truck and small car.wav,engine boat passing by.wav,motors-moteurs.wav,graveylargo.wav,bath room fan.wav,25_MIXER.wav,Diesel train arrives and departs 1.wav,FP_Diesel_Tractor_Start_Run.wav
-A guy is brushing his/her teeth swiftly.,md1trk13.wav,Scraping of a Carpet with a Brush.wav,Gun Cleaning.wav,Filing Nail.wav,Remulada.wav,Scratching Hair.wav,Chopping of vegetables and fruit - knife on cutting board.wav,150209 Trevor Webb Teeth Brushing.wav,zippers02.wav,Writing_Fx.wav
-A person is unsuccessfully trying to start a car engine.,Getting Into Car and Driving Away.wav,dumpster truck.wav,Engine Reving.wav,150209 Trevor Webb Tire Squeeke.wav,25_MIXER.wav,Moving Chair On Carpet.wav,faucet2.wav,ambiant hangar sound.wav,CarStart Idle Rev.wav,bath room fan.wav
-A person is walking in gravel and slows their pace gradually.,20060129.scrub.04.wav,gravel walking.wav,Footsteps Dirt 02.wav,footsteps-gravel-birds.wav,footsteps in woods.wav,20060510.walk.scrub.wav,Footsteps on Crunchy Snow.wav,walking on lava.wav,footsteps_pebble_each_01.wav,walking 1.wav
-"A weed whacker or some other lawn device is being started, run for a little bit and then stopped.",25_MIXER.wav,ATV foley &amp; drive in woods - Reverberant [ST].wav,bumble bee web.wav,arrancada i aturada de la moto.wav,Espresso.wav,JM_MACHINE_Coffee Machine 01 - Office.wav,Outside Sound.wav,motors-moteurs.wav,Motor bikes passing by.wav,engine boat passing by.wav
-A strong wind is blowing creating a whistling sound.,AMB_traffic_night_distant_02.wav,Desert at Night.wav,Urban owl hoot.wav,screech_owl.wav,Mouth Wind Howling.wav,Waves near the dock.wav,outdoors ambient distant village 2.wav,Wailing Wind.wav,natural_wind.wav,bebops_wind2.wav
-Someone walking quietly towards something then a loud breathe noise is made.,Walking on Wood Floor.wav,running_forest_snow.wav,footsteps in woods.wav,footsteps-gravel-birds.wav,Footsteps on Wood floor 1.wav,3 persons walking slowly on grass noisy ambient 2.wav,Clothing Rubbing Foley Sound.wav,Footsteps Dirt 02.wav,Foley Man Collapsing.wav,Talll Grass Hits 2.wav
-A person walking fast upstairs on a wooden floor and two people talking there in.,20091217.20.pedestrians.wav,steps in the station.wav,UoA_Kcq_voices2_120224.wav,Achter de Stekke .wav,inside an old factory under recustruction.wav,maastricht town sounds.wav,In_a_que01.wav,20091226.squeaky.door.wav,20150712_underground.parking.wav,Outside Library.wav
-"Static feedback noises, an audible thump in the middle.",03480 static white noise.wav,5. Apartment ambience inside room.wav,stereo noise experiment 130820.wav,bright_wind.wav,Electromagnetic Waves on a Macbook Pro.wav,windy day indoors windows rattle.wav,20110823_mountain.01.wav,TONE pink noise  44.1 16bit.wav,JM_NOIZ_Buzz 01 - Neon Light.wav,TrafficAmb.wav
-Dog barks for many times at a louder sound.,Pug Woof 3.wav,stray_dogs.wav,BIG DOGS_Continues Barking Labrador Retriever (SFX).wav,harbour scene 2.wav,outdoors ambient distant village 2.wav,20080321.warbler.n.dogs.wav,kettle-watergong3.wav,clunks_in_water.wav,"Call to Prayer, Old Dehli.wav",contact_mic_on_satellite_dish09.wav
-A crowd of people talk while footsteps echo and machinery bangs.,BigCrowdBigHall.wav,Ambience outside a series of restaurants.wav,20091217.20.pedestrians.wav,Cafe 1.wav,Ousman Ramble.wav,UoA_Kcq_voices2_120224.wav,Mall Ambient.wav,Noise and Walking 2.wav,shopper_atmos.wav,SR005F.wav
-A man speaks followed by sirens that grow in volume over time.,vendedor_ambulante.wav,STREET_AMBULANCE_01.wav,Sirena_24.05.11.wav,Ambulence - WARNING LOUD.wav,police motorcycle distance to stop.wav,dog howl in woods.wav,Cityscape 02 100208.wav,Wailing Wind.wav,Inside Car Ambience Next to School More Quiet Version.wav,PlanetaryAndXporterSingleLoop_STTOS_recreated.wav
-A big bell rang and its sound effect is gradually slowing down.,crossing bells.wav,church bell_ljubljana.wav,templebell.wav,Carillon Servaas Church 100411.wav,20060730.bells.wav,metal-bowl-long-decay.wav,Wine glass hits.wav,Bell7.wav,Marble Church.wav,1167church_clock_striking_ten.wav
-A Velcro strap is being slowly peeled off of a surface.,Melon Stabs (Juicy).wav,Fire crackling.wav,160170_Gravel_OWI.wav,Washing short hair.wav,Mascara.wav,envelope.wav,Plastic bag crumple.wav,Match being lit.wav,Paper_Tear_Fx.wav,Cash Money sounds_fieldtapes.wav
-A musical gong and metronome sound and count beats.,Klangschale weich ff.wav,THAI GONG3.wav,Hammering_Empty tank_large_CLOSE.wav,Gong mf2.wav,clunks_in_water.wav,resonante bass ring-15.J.wav,Standard Bell.wav,KMC_Bell_Ring_01.wav,strange wind 03.wav,20060729.lid.wav
-"A foghorn sounds its loud, deep alert which echoes over the water.","wind, basement, dripping water.wav",radio_am_01.wav,Interference3.wav,Underground Parking Ambience.wav,strange wind 03.wav,Klangschale weich ff.wav,trame5_5.wav,refrigerator buzzing.wav,hillden.wav,Mouth Wind Howling.wav
-A person is slowing down in a car with engine noises in the background.,Diesel truck and small car.wav,City Street.wav,Crossroads with traffic lights #1.wav,Engine Reving.wav,german motorway or the autobahn.wav,bath room fan.wav,traffic from inside an apartment.wav,NY 176andSt.Nicholas AMB.wav,110719_glasgowdemolish.wav,WM_drain_pre_spin_cycle_24_96_mono.wav
-Water is running through a tap near a mechanical device making a consistent hum in the background.,Water_Falling_Bathtub_Drain.wav,20130825-Water-fountain-Slavonice.wav,amsterdam bijmer station escalator.wav,RainFallsThruTinGutterMcCoy.wav,gully with water drips.wav,Espresso Machine.wav,Stream Under Rocks.wav,StreamPTDMos.wav,indoors WC bathroom ambient room tone.wav,shower short.wav
-Children's playing and shouting in children's play ground.,firenze_kids_churchyard.wav,Next To School in Street Ambience.wav,Kids GardenHose 130723_02.wav,stenochscentre.wav,toy_tower.wav,08-Bakken_RacingCars.wav,city park Tel Aviv.wav,shopper_atmos.wav,Amusement Park.wav,Zag.canon.eda.wav
-People of the opposite gender are talking with each other as a cars engine makes noise.,Oxford Cambridge boat race 2010.wav,Place Pigalle ambience Paris.wav,BangkokMarket.wav,indoors house ambient living room tone distant neighbours and traffic.wav,130916 General Paz y Panamericana.wav,traffic from inside an apartment.wav,City Traffic (Outdoor).wav,Tea Garden Outside Ambience.wav,aup.wav,Traffic Karl-Liebknechtstrasse 111223.wav
-"Lots of traffic, music was playing and a car beep at the end.",tata_hungary__ady_endre_road_20080718.wav,Place Pigalle ambience Paris.wav,"Sredniy Nikolopeskovsky lane, evening ambiance.wav",City Street.wav,stoplight.wav,Neighbourhood Ambiance.wav,traffic_night_street.wav,The Commons.wav,german motorway or the autobahn.wav,110719_glasgowdemolish.wav
-Ice/marbles are poured into a glass and shaken.,drainage pipe running.wav,Dropping Coins into Water.wav,AlexandreJourdan_2013_s2.wav,Through Slime.wav,WATER DRIP 2 ECHO LOW PITCH.wav,Pecan nuts cracked open.wav,"Water - Leak, small.wav",gootsteen.wav,Plastic bag crumple.wav,Bell from large rabbit plush.wav
-Water drips on water while a tone echoes and fades in the background.,Stream Under Rocks.wav,gully with water drips.wav,forest stream ambiance.wav,gotes lent.wav,Waterflow_Ib.wav,creekclose.wav,Water on tarp 2.wav,StreamPTDMos.wav,20130825-Water-fountain-Slavonice.wav,Stream trickling with small waterfall close by.wav
-A heavy rain pouring down in a forest area.,"Wind in a tree, close to the foliage.wav",inicio.wav,Fountain at place pigale - Paris - France.wav,Heavy Rain tin roof.wav,"Rain next to open window, dog barks in the distance.wav",Heavy wind and rain.wav,Rain 02 091012.wav,White Water.wav,WATER SHOWER 001.wav,13_Rain_onGrassStone_Gutter_44_16.wav
-A person is calling someone by dialling number on the landline phone.,BRITISH PHONE.wav,telefono_en_espera.wav,Hair Clippers 2.wav,Short circuit.wav,JM_MACHINE_Coffee Machine 01 - Office.wav,raindrops on metal_police background.wav,door sound.wav,Analog Wall Clock.wav,Squeaky Windshield Wipers.wav,Microwave1.wav
-Waves roll on shore as a jet airliner roars overhead.,Waves near the dock.wav,CP_Whipping_Wind_Storm_Medium01.wav,Sea Waves Splash the Beach on the Isle of Wight Coast.wav,CFX-20130331-UK-DorsetSeaBeach02.wav,Siberian Weather Front 5 PM 110304.wav,Waves on to rocks.wav,Wind in trees-force8-night.wav,bright_wind.wav,forestandocean.wav,Pirita Storm waves06.12.2015.wav
-A moving car on a traffic free highway at a high speed.,traffic_night_street.wav,german motorway or the autobahn.wav,Japan_Yukinoura_Bamboo_Forest_and_Road_.wav,tata_hungary__ady_endre_road_20080718.wav,street.wav,FastCarAmb.wav,Diesel truck and small car.wav,Highway Traffic_1-2.wav,Crossroads with traffic lights #1.wav,"Sredniy Nikolopeskovsky lane, evening ambiance.wav"
-someone is bouncing on a chair with metal legs.,closing washing machine.wav,kitchen indoor atmosphere.wav,150209 Trevor Webb Snooker.wav,Blinds being opened and closed quickly and slowly.wav,CR SharktoGnawAmb.wav,Ambience_hurricane tube_low freq.wav,abandoned-ballroom-objects-wood-metal.wav,Metal coat hanger on steel hook.wav,entering1.wav,Gun Cleaning.wav
-A crowd of people is talking and a scooter drives around.,BigCrowdBigHall.wav,Cafe 1.wav,Oxford Cambridge boat race 2010.wav,aup.wav,Ambience outside a series of restaurants.wav,BangkokMarket.wav,20100806.stockholm.street.ambiance.wav,Ousman Ramble.wav,Amusement Park (Ambience).wav,Tea Garden Outside Ambience.wav
-A child screams while people are talking together inside a room.,firenze_kids_churchyard.wav,Next To School in Street Ambience.wav,stenochscentre.wav,Zag.canon.eda.wav,toy_tower.wav,16 coffee shop ambience.wav,city park Tel Aviv.wav,shopper_atmos.wav,Amusement Park.wav,20110212_mercado.05.wav
-A large number of people in a public place discussing.,Ambience outside a series of restaurants.wav,Cafe 1.wav,BigCrowdBigHall.wav,Carmel Market.wav,110420-001_openair_cafe_karlsruhe_Schlosscafe.wav,Public Place.wav,Kurla local train station Mumbai (1).wav,market1.wav,jf Resonant Space.wav,Portugese Fish Market.wav
-A loud whirring motor is spinning while a person coughs nearby.,ambiant hangar sound.wav,bath room fan.wav,kitchen refrigerator working.wav,refrigerator buzzing.wav,20091217.05.street.cleaning.wav,WM_drain_pre_spin_cycle_24_96_mono.wav,departing_train.wav,Apartment Ambiance 2.wav,indoors WC bathroom ambient room tone.wav,room tone empty train station quiet.wav
-Truck with loud engine noise passes by followed in three seconds by a quieter second truck.,Diesel truck and small car.wav,Engine Reving.wav,psikedelic.wav,traffic at green light.wav,Bus sound.wav,110719_glasgowdemolish.wav,Boulevard with motorbike.wav,three departures at bus station.wav,Diesel train arrives and departs 1.wav,stoplight.wav
-A power drill being used to drill continuously and then stops.,25_MIXER.wav,150209 Trevor Webb Tire Squeeke.wav,newport-hotel-blow-drier.wav,JM_MACHINE_Coffee Machine 01 - Office.wav,electric screwdriver_ST.wav,kitchen refrigerator working.wav,Mechanical office sharpener.wav,dremmel-noise2.wav,sd_coffee3.wav,Machine.wav
-A vehicle is passing by and people are talking in the background.,Place Pigalle ambience Paris.wav,Ambience - Quiet Train.wav,Traffic Karl-Liebknechtstrasse 111223.wav,20100806.stockholm.street.ambiance.wav,Oxford Cambridge boat race 2010.wav,130916 General Paz y Panamericana.wav,traffic at green light.wav,indoors house ambient living room tone distant neighbours and traffic.wav,BangkokMarket.wav,aup.wav
-A device beeps and blares a tone while cars drive by in the background.,City Street.wav,crossing bells.wav,traffic from inside an apartment.wav,NY 176andSt.Nicholas AMB.wav,stoplight.wav,110719_glasgowdemolish.wav,"Sredniy Nikolopeskovsky lane, evening ambiance.wav",Short circuit.wav,screech_owl.wav,Roof with fans.wav
-One person drive the Bike very fast and move very loudly.,motors-moteurs.wav,ATV foley &amp; drive in woods - Reverberant [ST].wav,Crossroads with traffic lights #1.wav,engine boat passing by.wav,Diesel truck and small car.wav,Engine Reving.wav,Boulevard with motorbike.wav,german motorway or the autobahn.wav,traffic at green light.wav,street.wav
-River flowing down stream and the sound gets louder as the stream altitude increases.,WS RunningWater.wav,White Water.wav,river_small_close_01.wav,forestandocean.wav,creek_tyrol_austria.wav,burton_waterfall_02.wav,Stream trickling with small waterfall close by.wav,StreamPTDMos.wav,Water on tarp 2.wav,Loch-Ness-At-night.wav
-A car backs out on a road and starts to drive.,110719_glasgowdemolish.wav,Diesel truck and small car.wav,City Street.wav,road_spikes.wav,Engine Reving.wav,Crossroads with traffic lights #1.wav,FastCarAmb.wav,stoplight.wav,tata_hungary__ady_endre_road_20080718.wav,Highway Traffic_1-2.wav
-"A metal can is being punctured, the can's lid is removed.",Mechanical office sharpener.wav,Drinking Water and refreshing sigh.wav,IRON_SLIDE.wav,Bell from large rabbit plush.wav,Vocal Strain - Unprocessed.wav,Old metal pail.wav,bruits.chute.petite.urne.gravillons.wav,20061214.wrench.01.wav,Blinds being opened and closed quickly and slowly.wav,tile-scrape-flange1.wav
-Consistent stream of water is running through a fountain outside.,Stream trickling with small waterfall close by.wav,burton_waterfall_02.wav,creekclose.wav,WS RunningWater.wav,White Water.wav,river_small_close_01.wav,kenrokuen.wav,creek_tyrol_austria.wav,20130825-Water-fountain-Slavonice.wav,131227_strumyk_2.wav
-A dark forest has been filled with some kind of animal sound.,August night.wav,AugustNightInCornField.wav,Night in nature 2.wav,070821_flsp_narrows.wav,"wind, basement, dripping water.wav",high park crickets.3.wav,Cricket2.wav,jetengines.wav,Cicada 1.wav,Cicada.1.45.wav
-Water flowing downwards from a mountain to a river.,WS RunningWater.wav,Stream trickling with small waterfall close by.wav,river_small_close_01.wav,burton_waterfall_02.wav,White Water.wav,131227_strumyk_2.wav,creek_tyrol_austria.wav,creekclose.wav,20130825-Water-fountain-Slavonice.wav,kenrokuen.wav
-heavy rain have been found in the area and it is louder also.,20070610.thunder.wav,thunderstorm_4.wav,"Wind in a tree, close to the foliage.wav",Rain &amp; Thunder 1 Clap.wav,leaves_on_the_wind.wav,rain_villaverde1.wav,Heavy wind and rain.wav,inicio.wav,Rain falling and thunder clapping in a storm.wav,thunder_nl.wav
-"Dogs bark, birds sing and a door with squeaky hinges opens .",outdoors ambient distant village 2.wav,20080321.warbler.n.dogs.wav,stray_dogs.wav,single bird.wav,screech_owl.wav,spider_monkeys.wav,EnterGate.wav,grilla_garden_ambience.wav,harbour scene 2.wav,Morning Ambience city.wav
-Water in France is running through an old stone drainage sewer system and a man is talking over it.,20130825-Water-fountain-Slavonice.wav,gully with water drips.wav,gotes mig.wav,WATER SHOWER 001.wav,gotes lent.wav,Stream Under Rocks.wav,WATER DRIP 2 ECHO LOW PITCH.wav,lavar platos.wav,Water_Falling_Bathtub_Drain.wav,"Water - Leak, small.wav"
-Dishes clank multiple times while a plastic bag is rustled.,Fire crackling.wav,bread_in_toaster.wav,envelope.wav,Glass crushed 1.wav,metallic scratches an rubs.wav,160170_Gravel_OWI.wav,DVD Cases.wav,kitchen indoor atmosphere.wav,pepper grinder.wav,Popcorn Foley.wav
-A can being open and the liquid being poured out.,gotes mig.wav,Washing and scrubbing.wav,Water_bubbles_stereo_StereoPiezo_44_24.wav,gotes lent.wav,"Water - Leak, small.wav",gootsteen.wav,Water plopping in pulling out small object.wav,lavar platos.wav,water dispenser.wav,sink1.wav
-Static noise and someone opens something and then the static noise starts to fade.,stereo noise experiment 130820.wav,Electromagnetic Waves on a Macbook Pro.wav,03480 static white noise.wav,5. Apartment ambience inside room.wav,bright_wind.wav,faucet2.wav,windy day indoors windows rattle.wav,Waves near the dock.wav,synthwind.wav,bitmapnoise3.wav
-multiple insects are making noise outside the factory.,AugustNightInCornField.wav,August night.wav,Crickets Night 2.wav,Cricket2.wav,Night in nature 2.wav,high park crickets.3.wav,Cicada 1.wav,20060804.marshes.cricket02.wav,greece_naxos_cicadas_6.wav,Cicada.1.45.wav
-"It is raining outside, and a strong wind is blowing.",Heavy wind and rain.wav,Heavy Rain tin roof.wav,inicio.wav,"Wind in a tree, close to the foliage.wav",thunderstorm_4.wav,Rain 02 091012.wav,forestandocean.wav,Wasserfall 2.wav,Wind in trees-force8-night.wav,Waves near the dock.wav
-It is fan  movement and it is touching on object.,ambiant hangar sound.wav,jetengines.wav,City Street.wav,HARDWARE STORE ROOMTONE.wav,windy day indoors windows rattle.wav,NY 176andSt.Nicholas AMB.wav,City House Ambience.wav,washing_machine_beginning.wav,Footsteps on Wood floor 1.wav,CR SharktoGnawAmb.wav
-"A man, woman and child are talking while waves are crashing in.",tedeschi.wav,Oxford Cambridge boat race 2010.wav,20110823_mountain.01.wav,20100806.stockholm.street.ambiance.wav,BigCrowdBigHall.wav,forestandocean.wav,Sea Waves Splash the Beach on the Isle of Wight Coast.wav,Wind in trees-force8-night.wav,Ousman Ramble.wav,Omni_Ambiental_ParkingLot.wav
-"A machine starting up and shutting down continuously, woman murmuring in background.",Apartment Ambiance 2.wav,Tea Garden Outside Ambience.wav,130916 General Paz y Panamericana.wav,traffic from inside an apartment.wav,indoors empty bar noisy ambient 2.wav,trolley car B.wav,InsideBus.wav,0129 Big_shop.wav,Construction Work 1 - 44.1kHz16Bit - Measurement Mirophone - Mono - TASCAM_DR40 - normalized - fade in and fade out low-3.wav,RomaBenzinaioGas_viaPomonte.wav
-Offloading maize grains from a  truck using shovels.,110719_glasgowdemolish.wav,vendedor_ambulante.wav,Diesel truck and small car.wav,Cricket2.wav,tata_hungary__ady_endre_road_20080718.wav,Boulevard with motorbike.wav,Japan_Yukinoura_Bamboo_Forest_and_Road_.wav,traffic-construction-noise.wav,City Street.wav,Cicada.1.45.wav
-someone is using a stick and scrolling on a fence.,abandoned-ballroom-objects-wood-metal.wav,screenplayTheater__footsteps_leatherSoles-onWood.wav,Metal coat hanger on steel hook.wav,Bell from large rabbit plush.wav,kettle-watergong3.wav,Water drops into a metallic bowl.wav,gotes mig.wav,water jugs.wav,Metal_Tin_Hit_bang.wav,metallic scratches an rubs.wav
-water running by relatively quickly with mild intensity.,Stream Under Rocks.wav,Stream trickling with small waterfall close by.wav,kenrokuen.wav,creekclose.wav,forest stream ambiance.wav,gully with water drips.wav,WaterRunning.wav,Water on tarp 2.wav,Running water 20121021T2335.wav,20130825-Water-fountain-Slavonice.wav
-"A door is opened, a bell rings as birds chirp in the background.",spider_monkeys.wav,Doorsbell.wav,EnterGate.wav,Phone Dong.wav,screech_owl.wav,Morning Ambience city.wav,entering1.wav,Elevator Ride and Door Open Merchants Bldg.wav,Birds and Nature.wav,istanbul tram.wav
-Dog growling and backing continuously in a low tune.,stray_dogs.wav,Pug Woof 3.wav,Vocal Strain - Unprocessed.wav,Cat Meow and Purr.wav,IRON_SLIDE.wav,harbour scene 2.wav,redbarn_feeding-horses.wav,Before-After Remix of 53263__stomachache__pterodactyl.wav,rutting deer 2.wav,stretch .wav
-A person is walking on a wooden floor with heavy steps and then opens a door.,door walking exit.wav,entering1.wav,Footsteps on Wood floor 1.wav,Walking on Wood Floor.wav,20150330_11.wooden.floor.night.MS.wav,Opening and closing a big old door.wav,big wooden door open close.wav,closing washing machine.wav,20091226.soft.door.wav,Walking Downstairs.wav
-"A man speaks, then snaps twigs, and birds chirp in the background.",swifts 2.wav,An English Country Garden in July.wav,Tokyo-cicadas.wav,street.wav,dog howl in woods.wav,Small italian village - Quite afternoon.wav,20070628.casual.ambiance.wav,Morning Ambience city.wav,outdoors ambient distant village 2.wav,ambient_sound.wav
-Food sizzles in a pan as someone chops ingredients.,Pork sausage.wav,13_Rain_onGrassStone_Gutter_44_16.wav,Grill.wav,Rain_Patter_01.wav,WaterDrops.wav,RainFallsonUmbrellaMcCoy.wav,20081231.fire.02.wav,WATER SHOWER 001.wav,RainFallsThruTinGutterMcCoy.wav,Oil sizzling.wav
-A machine preparing product continuously and it is making fast movement.,ambiant hangar sound.wav,NY 176andSt.Nicholas AMB.wav,Ambience_hurricane tube_low freq.wav,InsideBus.wav,jetengines.wav,refrigerator buzzing.wav,Apartment Ambiance 2.wav,washing_machine_beginning.wav,indoors WC bathroom ambient room tone.wav,Coming into a hospital in saturday.wav
-Two persons are speaking and after some time one person is shouting.,noise pollution in a city park.wav,maastricht town sounds.wav,city park Tel Aviv.wav,20100806.stockholm.street.ambiance.wav,Twee dozen aardbeien.wav,DallasWorldAquarium01.wav,UoA_PJ120202_HighStAlleyEch.wav,Binnenrotte market live 100309.wav,dog howl in woods.wav,people_sitting_by_fire.wav
-fireworks setting off with people in the background jubilating.,Fireworks_Amsterdam_48_24.wav,Sorrento Fireworks.wav,Fireworks_2_Amsterdam_48_24.wav,balloonburner.wav,20110823_mountain.01.wav,ThreeFireworks.wav,Oxford Cambridge boat race 2010.wav,strange sounding firework rocket explosions.wav,static choppy 1400 kHz.wav,RainFallsonUmbrellaMcCoy.wav
-Rumbling ambience rolls like vague thunder aside rainy patter.,very strong thunder by fresco.wav,thunder_nl.wav,20070610.thunder.wav,Torden og lynild 3.wav,Rain falling and thunder clapping in a storm.wav,LightningCrash.wav,rain_villaverde1.wav,Rain &amp; Thunder 1 Clap.wav,Very loud thunder clap.wav,thunderstorm_4.wav
-"A man-made object is being moved, then a person quietly walks as people talk further away.",maastricht town sounds.wav,Covent_Garden_rain_5.wav,steps in the station.wav,UoA_Kcq_voices2_120224.wav,3 persons walking slowly on grass noisy ambient 2.wav,In_a_que01.wav,20100806.stockholm.street.ambiance.wav,Outside Library.wav,Footsteps on Wood floor 1.wav,20091217.20.pedestrians.wav
-Metals scraps moved on the floor of the room.,Remove crashed glass.wav,Tool Box.wav,Blinds being opened and closed quickly and slowly.wav,"Iron gate, street.wav",weights rope.wav,indoors WC bathroom ambient room tone.wav,Sound_FX_Kitchen_Kniifes and forks.wav,Gun Cleaning.wav,butter_toast_2x.wav,Glasses Kitchen_IO.wav
-Machine is running with the lowest sound for a short time.,Microwave 01.wav,Fan noise.wav,ambiant hangar sound.wav,InsideBus.wav,City House Ambience.wav,refrigerator buzzing.wav,NY 176andSt.Nicholas AMB.wav,City Street.wav,indoors WC bathroom ambient room tone.wav,traffic from inside an apartment.wav
-A person is touching an item that rolls and is making it roll eight times.,IRON_SLIDE.wav,Ambience_hurricane tube_low freq.wav,water jugs.wav,Bell from large rabbit plush.wav,Tap Drip Vox inc reverb.wav,abandoned-ballroom-objects-wood-metal.wav,door sound.wav,contact_mic_on_satellite_dish09.wav,water blups.wav,window rapping.wav
-An airplane is taking off at an airport.,5_Navy-Blue-Angels-jets_CLIP.wav,airliner_ascend.wav,treinREM2.wav,2009-07-23_1554_Serralves Park Airplane flying by.wav,Tornado Left To  Right.wav,german motorway or the autobahn.wav,20110903_cycadas.n.wind.06.wav,spaced.wav,Landing Jet 3.wav,OMV_02.wav
-People are talking nonchalantly downtown as a machine whirs rapidly.,indoors ambient room tone 1.wav,city town Havana afternoon balcony.wav,indoors house ambient living room tone distant neighbours and traffic.wav,InsideBus.wav,PS3F_FOZ_centro_Mufato_anuncio2_tarde.wav,Inside Car Ambience Next to School More Quiet Version.wav,Grocery Shop Atmos.wav,Apartment Ambiance 2.wav,160718 HSN spanish fish market.wav,traffic from inside an apartment.wav
-"A car accelerates, passes by and then slows to a stop.",Crossroads with traffic lights #1.wav,Diesel truck and small car.wav,tata_hungary__ady_endre_road_20080718.wav,Highway Traffic_1-2.wav,Boulevard with motorbike.wav,car_pass_02_070812.wav,Motorcycle Driveby.wav,F-1-race-cars-restart-1stLap-Turn11-DR081.wav,street.wav,german motorway or the autobahn.wav
-Moving train at a moderate speed on a wind day.,jetengines.wav,ambience winter train station outdoor quiet distant construction.wav,windy day indoors windows rattle.wav,Neighborhood Ambiance.wav,natural_wind.wav,Inside a train 2.wav,atmo__wind_leaves_water_traffic.wav,Synthetic Thunderstorm.wav,Esperance Wind Farm II.wav,AMB_traffic_night_distant_02.wav
-A large helicopter is being flown close by before it passes.,"Helicopter interior, no rotor.wav",Helicopter Landing.wav,graveylargo.wav,airshow_2.wav,20110903_cycadas.n.wind.06.wav,20160610_fading.plane.forest.wav,WasherEndWashCycleStartSpinCycle.wav,Tornado Left To  Right.wav,reenactment4.wav,Landing Jet 3.wav
-Birds are chirping while a gate opens and closes.,spider_monkeys.wav,ambient_sound.wav,Birds and Nature.wav,Birds of Noosa Biosphere Reserve.wav,The Commons.wav,nightbird.wav,Budgies Chirping 2.wav,Morning Ambience city.wav,Neighbourhood Ambiance.wav,Birds_Singing.wav
-Numerous types of birds are squawking and making noises.,AMB_CityPark_Day_Seagull_People.wav,Helicopter and crows passing overhead.wav,grilla_garden_ambience.wav,Ambient noise Kauai.wav,20070424.footsteps.wav,Birds and insects in the wetlands of Melissant.wav,spider_monkeys.wav,Birds and Nature.wav,Budgies Chirping 2.wav,ambient_sound.wav
-music is playing in the background then a siren goes off.,church_bell_song.wav,Sirena_24.05.11.wav,vendedor_ambulante.wav,church organ 2.wav,popibuuns.wav,Welte Philharmonic Organ.wav,20110823_mountain.01.wav,Cityscape 02 100208.wav,crossing bells.wav,Voktebef_I&#39;m not sure if I&#39;m here.wav
-A person is doing the work with some kind of vessels.,Ambience_hurricane tube_low freq.wav,Hammering_Empty tank_large_CLOSE.wav,Stiff Metal Wire.wav,kettle-watergong3.wav,water jugs.wav,Door in SPB-045.wav,04122 metallic cinematic hits.wav,abandoned-ballroom-objects-wood-metal.wav,CR SharktoGnawAmb.wav,jetengines.wav
-A person is cracking open some type of nuts.,Glass crushed 1.wav,footsteps_pebble_each_01.wav,160170_Gravel_OWI.wav,Fire crackling.wav,Smoke.wav,AlexandreJourdan_2013_s2.wav,Pills .wav,Remulada.wav,Eating a TicTac.wav,Plastic bag crumple.wav
-Birds all chirping at once producing high-pitched loud noise some are closer and louder background birds are quieter.,Birds and Nature.wav,ambient_sound.wav,Ambient noise Kauai.wav,Sk310308 chaffinch crow.wav,In an English Suburban Garden.wav,20060607.bird.gone.nuts.wav,nightbird.wav,spider_monkeys.wav,20070628.casual.ambiance.wav,Birds_Singing.wav
-Someone is at first scraping and then banging a metal sheet in a room with an echo.,Ambience_hurricane tube_low freq.wav,Hammering_Empty tank_large_CLOSE.wav,abandoned-ballroom-objects-wood-metal.wav,04122 metallic cinematic hits.wav,Door in SPB-045.wav,closing washing machine.wav,entering1.wav,contact_mic_on_satellite_dish09.wav,CR SharktoGnawAmb.wav,Door pounding - increasing intensity.wav
-A song consisting of electronic noises and piano sounds is playing.,church organ 2.wav,popibuuns.wav,NEW INTRO FEB 2012 TDAR.wav,church_bell_song.wav,sweep phrase.wav,Voktebef_I&#39;m not sure if I&#39;m here.wav,Welte Philharmonic Organ.wav,WOF_slots5.wav,stump.wav,Folds.wav
-A person is walking in forest at night time.,footsteps in woods.wav,footsteps-gravel-birds.wav,nia walking.wav,20060510.walk.scrub.wav,Prairie Sounds - walking on dirt road between grassy fields - raw.wav,Talll Grass Hits 2.wav,fly 1 sands_05.wav,ICE55.wav,3 persons walking slowly on grass noisy ambient 2.wav,the sound of melting snow on the path high in the mountains - front.wav
-People are talking while cars drive by and a plane is nearby.,20100806.stockholm.street.ambiance.wav,Place Pigalle ambience Paris.wav,BangkokMarket.wav,Oxford Cambridge boat race 2010.wav,Tea Garden Outside Ambience.wav,Ousman Ramble.wav,Ambience - Quiet Train.wav,aup.wav,indoors house ambient living room tone distant neighbours and traffic.wav,09-07-15_2053_Small place near metro station Faria Guimaraes in the evening.wav
-Seagulls and other birds chirping as waves crash on the beach.,AMB_CityPark_Day_Seagull_People.wav,Helicopter and crows passing overhead.wav,Birds and insects in the wetlands of Melissant.wav,PJcalls2.wav,pineforest winter NL SHORT 130110_00.wav,09-07-15_2053_Small place near metro station Faria Guimaraes in the evening.wav,COUNTRY-farm-yard.wav,ambient_sound.wav,20070628.casual.ambiance.wav,Sk310308 chaffinch crow.wav
-A constant flapping sound with a woman speaking with a breathy voice.,Outside Library.wav,20091217.20.pedestrians.wav,noise pollution in a city park.wav,Covent_Garden_rain_5.wav,UoA_Kcq_voices2_120224.wav,steps in the station.wav,maastricht town sounds.wav,UoA_PJ120202_HighStAlleyEch.wav,Noise and Walking 2.wav,platform.wav
-The church bell rings slow and louder for few times.,20101118.omnium.sanctorum.wav,church bell_ljubljana.wav,20060730.bells.wav,Marble Church.wav,Carillon Servaas Church 100411.wav,Lisbon&#39;s church.wav,20090419.san.pedro.bells.wav,1167church_clock_striking_ten.wav,More Bells.wav,Inside Servaas Church 01 100411.wav
-Firewood burning up and crackling on a windy day.,WaterDrops.wav,fly 1 sands_05.wav,RainFallsonUmbrellaMcCoy.wav,envelope.wav,Fire Crackle with Roaring Chimney.wav,ICE55.wav,BodyDrag2.wav,Plastic bag crumple.wav,rockonice.wav,20081231.fire.02.wav
-A dog is barking with a low sound.,stray_dogs.wav,harbour scene 2.wav,Pug Woof 3.wav,outdoors ambient distant village 2.wav,BIG DOGS_Continues Barking Labrador Retriever (SFX).wav,Rural nightfall atmos.wav,dog howl in woods.wav,Urban owl hoot.wav,20080321.warbler.n.dogs.wav,grilla_garden_ambience.wav
-A strong wind is blowing and it's raining while insects and crickets make noise.,high park crickets.3.wav,AugustNightInCornField.wav,inicio.wav,Ambience_Outdoor_Wind_Birds.wav,Crickets Night 2.wav,070821_flsp_narrows.wav,Rain And Birds Chirping Krucifix Productions Sound Effects.wav,August night.wav,Cicada 1.wav,5. Apartment ambience inside room.wav
-"An airplane engine roars to life, and the rush of wind.",graveylargo.wav,20110903_cycadas.n.wind.06.wav,german motorway or the autobahn.wav,2009-07-23_1554_Serralves Park Airplane flying by.wav,office.refrigerator.wav,spaced.wav,ambience winter train station outdoor quiet distant construction.wav,OMV_02.wav,Tornado Left To  Right.wav,Neighborhood Ambiance.wav
-Ocean waves ebb and flow on a beach.,Sea Waves Splash the Beach on the Isle of Wight Coast.wav,Wind in trees-force8-night.wav,Pirita Storm waves06.12.2015.wav,waves recording.wav,CP_Whipping_Wind_Storm_Medium01.wav,CFX-20130331-UK-DorsetSeaBeach02.wav,Waves near the dock.wav,Storm wind.wav,Waves on to rocks.wav,Siberian Weather Front 5 PM 110304.wav
-The sound is the things used to repair the machine.,Ambience_hurricane tube_low freq.wav,kettle-watergong3.wav,Door pounding - increasing intensity.wav,CR SharktoGnawAmb.wav,kettle-watergong2.wav,abandoned-ballroom-objects-wood-metal.wav,Hammering_Empty tank_large_CLOSE.wav,pukanie1.wav,Squeaking of door handle and rumbling of door.wav,Metal_Tin_Hit_bang.wav
-Two dogs are loudly barking at each other.,stray_dogs.wav,harbour scene 2.wav,BIG DOGS_Continues Barking Labrador Retriever (SFX).wav,Pug Woof 3.wav,outdoors ambient distant village 2.wav,dog howl in woods.wav,grilla_garden_ambience.wav,20080321.warbler.n.dogs.wav,crows and owl.wav,Urban owl hoot.wav
-A lot of kids talking and yelling at a distance while a car drives by.,Place Pigalle ambience Paris.wav,Next To School in Street Ambience.wav,Oxford Cambridge boat race 2010.wav,BangkokMarket.wav,20100806.stockholm.street.ambiance.wav,bike race 05.wav,Ousman Ramble.wav,09-07-15_2053_Small place near metro station Faria Guimaraes in the evening.wav,Cityscape 02 100208.wav,City Traffic (Outdoor).wav
-A mother is pouring coffee to her daughter.,lavar platos.wav,sink1.wav,bathroom_water_tap_on_fill_off_drain_24_96_stereo.wav,Washing and scrubbing.wav,shower short.wav,gotes mig.wav,gotes lent.wav,"Water - Leak, small.wav",bathroomSink1.wav,gootsteen.wav
-Knocking a metal object twice then a wooden object once.,pukanie1.wav,settingdownglassbottle.wav,fist bang 2.wav,Setting Class on Table_02-01.wav,150209 Trevor Webb Snooker.wav,Gas Door.wav,RowanMagennis_160019_SD100_DeadBodyHitsWoodenFloor.wav,door walking exit.wav,Metal_Tin_Hit_bang.wav,hits_bathroomStomp.wav
-A vehicle starting or an engine starting or running.,FP_Diesel_Tractor_Start_Run.wav,arrancada i aturada de la moto.wav,dumpster truck.wav,ambiant hangar sound.wav,Engine Reving.wav,Diesel train arrives and departs 1.wav,Ferry 03.wav,bath room fan.wav,11_car_radio.wav,car moving 01.wav
-Rain is coming down hard while the wind is blowing in the background.,"Wind in a tree, close to the foliage.wav",Heavy wind and rain.wav,Rain 02 091012.wav,inicio.wav,thunderstorm_4.wav,Heavy Rain tin roof.wav,20100110.rain.marshes.wav,20070610.thunder.wav,Fountain at place pigale - Paris - France.wav,leaves_on_the_wind.wav
-Little parrot trying to fly from it's cage.,stones on thin ice.wav,single bird.wav,Opening a Mysterious Trunk.wav,Lights Flicker On.wav,Microwave1.wav,hits_bathroomStomp.wav,md1trk13.wav,Electric Stovetop.wav,entering shower moving curtain raffle raffling foley VARIOUS TAKES.wav,Sliding_Window.wav
-A person is working with the utensils faster at the last.,Glasses Kitchen_IO.wav,Bell from large rabbit plush.wav,Hammering on Anvil.wav,Metal_Tin_Hit_bang.wav,metallic_crackle.wav,Pounding a metal stake with hammer v2.wav,bruits.chute.petite.urne.gravillons.wav,abandoned-ballroom-objects-wood-metal.wav,Ambience_hurricane tube_low freq.wav,Remove crashed glass.wav
-A man speaking while onboard of a plane.,Apartment Ambiance 2.wav,gaunermarkt_werbung.wav,24 may 2011.wav,Tea Garden Outside Ambience.wav,Windermere Ferry Door Closing.wav,traffic from inside an apartment.wav,NY 176andSt.Nicholas AMB.wav,trolley car B.wav,metro underground  ambient opening closing doors noisy transport catalan spanish barcelona.wav,Subway to Namba St. .wav
-"High speed vehicles pass by, muffled cheers in the background.",traffic_night_street.wav,german motorway or the autobahn.wav,traffic at green light.wav,tata_hungary__ady_endre_road_20080718.wav,street.wav,Japan_Yukinoura_Bamboo_Forest_and_Road_.wav,Place Pigalle ambience Paris.wav,F-1-race-cars-restart-1stLap-Turn11-DR081.wav,Diesel truck and small car.wav,Neighbourhood Ambiance.wav
-Heavy rain is slowing down in rainy season.,Fountain at place pigale - Paris - France.wav,"Rain next to open window, dog barks in the distance.wav",Rain 02 091012.wav,RainFallsThruTinGutterMcCoy.wav,Heavy Rain tin roof.wav,Heavy wind and rain.wav,"Wind in a tree, close to the foliage.wav",RainFallsonUmbrellaMcCoy.wav,WATER SHOWER 001.wav,creek_tyrol_austria.wav
-A gun is being reloaded and cocked severally.,bruits.chute.petite.urne.gravillons.wav,Fire crackling.wav,Gun Handling.wav,Tortured Apple 02.wav,Match being lit.wav,soda can_pop.wav,cigarette_lighter.wav,Popcorn Foley.wav,Dropping Coins into Water.wav,object falls on wood.wav
-It is working machine or cutting and it is that the wood cutting.,JM_MACHINE_Coffee Machine 01 - Office.wav,Construction Work 1 - 44.1kHz16Bit - Measurement Mirophone - Mono - TASCAM_DR40 - normalized - fade in and fade out low-3.wav,sd_coffee3.wav,Machine.wav,25_MIXER.wav,Closing automatic garage door.wav,Blinds being opened and closed quickly and slowly.wav,ambiant hangar sound.wav,kitchen refrigerator working.wav,Stanley Knife Scraping Macbook.wav
-Rocks  large and small of all various sizes are hitting a tin bucket.,Pushing Trolley.wav,md3trk14.wav,Rustling keys.wav,bruits.chute.petite.urne.gravillons.wav,Smoke.wav,walking on lava.wav,abandoned-ballroom-objects-wood-metal.wav,Dropping Coins into Water.wav,object falls on wood.wav,Glasses Kitchen_IO.wav
-Three loud then the noise changes and pauses before stopping.,Mouth Wind Howling.wav,rutting deer 2.wav,jetengines.wav,Interference3.wav,door sound.wav,Ambience_hurricane tube_low freq.wav,"wind, basement, dripping water.wav",synthwind.wav,bath room fan.wav,stretch .wav
-The bell rang once and producing vibrating sound.,Bell7.wav,bikebell.wav,templebell.wav,Wine glass hits.wav,Old alarm clock (ticking and ringing).wav,Bell Ring.R.wav,metal-bowl-long-decay.wav,Bell 6inch away.wav,telephone ring.wav,3overtones.wav
-"A person is crunching down over and over again on something outside, like leaves or snow.",20060510.walk.scrub.wav,plastic foil (outdoor recording).wav,20060129.scrub.04.wav,footsteps_pebble_each_01.wav,Footsteps on Crunchy Snow.wav,HeavySkirtMovement.wav,md1trk18.wav,footsteps in woods.wav,fly 1 sands_05.wav,walk_hard_snow.wav
-Rain falling fast and loud consistently outside against a window.,Fountain at place pigale - Paris - France.wav,Rain 02 091012.wav,Heavy Rain tin roof.wav,"Rain next to open window, dog barks in the distance.wav",RainFallsonUmbrellaMcCoy.wav,"Wind in a tree, close to the foliage.wav",RainFallsThruTinGutterMcCoy.wav,Heavy wind and rain.wav,inicio.wav,White Water.wav
-A man and woman are holding a conversation among a crowd of people.,110420-001_openair_cafe_karlsruhe_Schlosscafe.wav,Cafe 1.wav,Ambience outside a series of restaurants.wav,BigCrowdBigHall.wav,people chatting background.wav,Kurla local train station Mumbai (1).wav,16 coffee shop ambience.wav,In_a_que01.wav,Public Place.wav,20110212_mercado.05.wav
-A person wearing heels is walking on the street.,Footsteps Dirt 02.wav,footsteps-gravel-birds.wav,Footsteps on Wood floor 1.wav,Walking on Wood Floor.wav,running_forest_snow.wav,steps in the station.wav,24 hn_footstepsSneakerConcreteSnow.wav,20091226.squeaky.door.wav,UoA_PJ120202_HighStAlleyEch.wav,rainy alleyway.wav
-"Men talk as a machine works, the machine becomes louder and one man shouts over it.",trolley car B.wav,Tea Garden Outside Ambience.wav,inside an old factory under recustruction.wav,Apartment Ambiance 2.wav,20110823_mountain.01.wav,Oxford Cambridge boat race 2010.wav,vendedor_ambulante.wav,Ousman Ramble.wav,Amusement Park (Ambience).wav,24 may 2011.wav
-Beating with hammer or like the object harder.,Door pounding - increasing intensity.wav,Metal_Tin_Hit_bang.wav,echo_ljubljana_castle.wav,pukanie1.wav,Hammering on Anvil.wav,door walking exit.wav,screenplayTheater__footsteps_leatherSoles-onWood.wav,timber.wav,foley footsteps walking in room indoors.wav,Stiff Metal Wire.wav
-A vehicle moving at a very high speed on a tarmac road.,german motorway or the autobahn.wav,street.wav,City Street.wav,traffic_night_street.wav,Crossroads with traffic lights #1.wav,Diesel truck and small car.wav,Engine Reving.wav,Japan_Yukinoura_Bamboo_Forest_and_Road_.wav,tata_hungary__ady_endre_road_20080718.wav,Boulevard with motorbike.wav
-"A water tap is open, and it fills into a container and then the tap is open more.",sink1.wav,gotes mig.wav,shower short.wav,lavar platos.wav,bathroomSink1.wav,bathroom_water_tap_on_fill_off_drain_24_96_stereo.wav,Sink running-drain.wav,Taps in the Bath.wav,Water_Falling_Bathtub_Drain.wav,Sink_on_off.wav
-A wooden table is scratched six times continuously.,md1trk13.wav,Gun Cleaning.wav,Filing Nail.wav,stretch .wav,foley noisy chair moving standing up different speed.wav,Remulada.wav,Metal coat hanger on steel hook.wav,Chopping of vegetables and fruit - knife on cutting board.wav,erasing 1.wav,Blinds being opened and closed quickly and slowly.wav
-"A person opens a door and walks down a hallway, they enter an elevator, while in the elevator they sigh.",entering1.wav,Footsteps on Wood floor 1.wav,20091226.squeaky.door.wav,elevator 001.wav,door walking exit.wav,big wooden door open close.wav,20150712_underground.parking.wav,closing washing machine.wav,20091226.soft.door.wav,Elevator Ride and Door Open Merchants Bldg.wav
-"A man and woman are holding conversation while running, then start to walk.",maastricht town sounds.wav,20091217.20.pedestrians.wav,In_a_que01.wav,UoA_PJ120202_HighStAlleyEch.wav,noise pollution in a city park.wav,SR005F.wav,Outside Library.wav,UoA_Kcq_voices2_120224.wav,20100806.stockholm.street.ambiance.wav,Binnenrotte market live 100309.wav
-"Metal pieces are scraped to one side, a person takes a few steps, then the metal is scraped  again.",Gun Cleaning.wav,butter_toast_2x.wav,Metal coat hanger on steel hook.wav,foley noisy chair moving standing up different speed.wav,md1trk13.wav,Blinds being opened and closed quickly and slowly.wav,Tool Box.wav,md3trk14.wav,Paper_Tear_Fx.wav,Filing Nail.wav
-Traffic driving through water with loud rushing and splashing.,german motorway or the autobahn.wav,traffic_night_street.wav,Rain 02 091012.wav,Ambience_Outdoor_Wind_Birds.wav,The Commons.wav,forestandocean.wav,psikedelic.wav,CFX-20130331-UK-DorsetHarbour02.wav,Heavy Rain tin roof.wav,traffic at green light.wav
-A person continues to pickup and set down an item on a table.,pukanie1.wav,settingdownglassbottle.wav,fist bang 2.wav,Setting Class on Table_02-01.wav,RowanMagennis_160019_SD100_DeadBodyHitsWoodenFloor.wav,Gas Door.wav,Metal_Tin_Hit_bang.wav,150209 Trevor Webb Snooker.wav,Squeaking of door handle and rumbling of door.wav,screenplayTheater__footsteps_leatherSoles-onWood.wav
-Light static noise with four knocks on wood and a drawer opening and closing twice.,hits_bathroomStomp.wav,RowanMagennis_160019_SD100_DeadBodyHitsWoodenFloor.wav,fist bang 2.wav,Drawers.wav,Sliding_Window.wav,closing washing machine.wav,indoors dorm dormitory ambient room tone closed window distant noises neighbours.wav,Auto_Door_Open_Close.wav,"HOUSEHOLD-FRIDGE-Whirlpool-brand fridge cooling, opening and closing fridge door_001.wav",14-Nails Scratching-consolidated.wav
-A door bangs and a person start crunching an apple fruit.,door walking exit.wav,entering1.wav,closing washing machine.wav,Walking on Wood Floor.wav,Footsteps on Wood floor 1.wav,fist bang 2.wav,20091226.squeaky.door.wav,Opening Closing old oven.wav,20091226.soft.door.wav,echo_ljubljana_castle.wav
-A railroad crossing is alarm is running as a train horn blows in the distance.,MetroTrain.wav,ShortTrain.wav,Train Passing Grade Crossing.wav,train_coming_in.wav,train11.wav,kamakura_train.wav,tram_night_crossroad_stop_go_02.wav,ship horn.wav,md9trk2.wav,tram turn.wav
-People are hitting billiards on a billiards table.,echo_ljubljana_castle.wav,20091226.squeaky.door.wav,150209 Trevor Webb Snooker.wav,abandoned-ballroom-objects-wood-metal.wav,20150712_underground.parking.wav,entering1.wav,inside an old factory under recustruction.wav,door walking exit.wav,pukanie1.wav,kitchen indoor atmosphere.wav
-A bird chirps in the background while a loud siren is going off.,Birds and Nature.wav,screech_owl.wav,ambient_sound.wav,spider_monkeys.wav,Neighbourhood Ambiance.wav,Ambient noise Kauai.wav,004-Ambient Recording at Saint-Augustin (FR 7pm in October).wav,20070628.casual.ambiance.wav,The Commons.wav,nightbird.wav
-"A group of people are talking and laughing, a piece of silverware drops.",Busy Dining Room Atmos.wav,110420-001_openair_cafe_karlsruhe_Schlosscafe.wav,Cafe 1.wav,16 coffee shop ambience.wav,Public Place.wav,Bar atmosphere - Not So Busy.wav,jf Resonant Space.wav,Carmel Market.wav,people chatting background.wav,Quiet Chat.wav
-A crowd of men and women are talking animatedly indoors and a man laughs.,Bar atmosphere - Not So Busy.wav,110420-001_openair_cafe_karlsruhe_Schlosscafe.wav,Busy Dining Room Atmos.wav,Cafe 1.wav,16 coffee shop ambience.wav,20110212_mercado.05.wav,people chatting background.wav,Quiet Chat.wav,jf Resonant Space.wav,Public Place.wav
-Heavy rain is pounding rapidly and intensely as time goes on.,RainFallsonUmbrellaMcCoy.wav,"Rain next to open window, dog barks in the distance.wav",Fountain at place pigale - Paris - France.wav,Heavy Rain tin roof.wav,"Wind in a tree, close to the foliage.wav",Rain 02 091012.wav,RainFallsThruTinGutterMcCoy.wav,Heavy wind and rain.wav,leaves_on_the_wind.wav,inicio.wav
-the bird are singing by the beach and it's windy.,pineforest winter NL SHORT 130110_00.wav,Desert at Night.wav,Birds and insects in the wetlands of Melissant.wav,Helicopter and crows passing overhead.wav,ambient_sound.wav,spider_monkeys.wav,AMB_CityPark_Day_Seagull_People.wav,The Commons.wav,09-07-15_2053_Small place near metro station Faria Guimaraes in the evening.wav,Rain And Birds Chirping Krucifix Productions Sound Effects.wav
-"A siren rises and falls in pitch, getting more intense and high pitched.",PlanetaryAndXporterSingleLoop_STTOS_recreated.wav,Whelen Piercer.wav,Sirena_24.05.11.wav,Synth Wind.wav,police motorcycle distance to stop.wav,thebit2.wav,Tone Shift.wav,sirenaWAV.wav,Ambulence - WARNING LOUD.wav,sortdemo_qb45_insert.wav
-A person opens and then closes a lightweight door.,closing washing machine.wav,fist bang 2.wav,CFX-20130329-UK-DorsetHouseDoors02.wav,Auto_Door_Open_Close.wav,"HOUSEHOLD-FRIDGE-Whirlpool-brand fridge cooling, opening and closing fridge door_001.wav",Footsteps on Wood floor 1.wav,entering1.wav,CFX-20130329-UK-DorsetHouseDoors01.wav,door_squeaky.wav,Opening and closing a big old door.wav
-An earsplitting honk increases tremendously as time passes.,ship horn.wav,City Street.wav,traffic from inside an apartment.wav,NY 176andSt.Nicholas AMB.wav,"Sredniy Nikolopeskovsky lane, evening ambiance.wav",tata_hungary__ady_endre_road_20080718.wav,Boulevard with motorbike.wav,Apartment Ambiance 2.wav,street.wav,004-Ambient Recording at Saint-Augustin (FR 7pm in October).wav
-A lot of rain is hitting more water.,Fountain at place pigale - Paris - France.wav,White Water.wav,"Rain next to open window, dog barks in the distance.wav",Heavy Rain tin roof.wav,StreamPTDMos.wav,creek_tyrol_austria.wav,Rain 02 091012.wav,"Wind in a tree, close to the foliage.wav",RainFallsThruTinGutterMcCoy.wav,20130825-Water-fountain-Slavonice.wav
-a propellor or fan whirring with a brief faint siren or alarm in the background.,City Street.wav,NY 176andSt.Nicholas AMB.wav,Apartment Ambiance 2.wav,traffic from inside an apartment.wav,crossing bells.wav,room tone empty train station quiet.wav,Roof with fans.wav,"Sredniy Nikolopeskovsky lane, evening ambiance.wav",refrigerator buzzing.wav,stoplight.wav
-"A man is singing while an accordion is being played, people are talking in the background.",Sao_Paulo_Liberdade_Forro_2014_10_12.wav,fm-radio-tuning-sweeps.wav,"Call to Prayer, Old Dehli.wav",meeting singing on boat - galilee.wav,trolley car B.wav,110420-001_openair_cafe_karlsruhe_Schlosscafe.wav,gaunermarkt_werbung.wav,Cafe 1.wav,times_square.wav,24 may 2011.wav
-A motor is running while a person speaks in the background.,City Street.wav,Apartment Ambiance 2.wav,traffic from inside an apartment.wav,WM_drain_pre_spin_cycle_24_96_mono.wav,Roof with fans.wav,indoors empty bar noisy ambient 2.wav,NY 176andSt.Nicholas AMB.wav,RomaBenzinaioGas_viaPomonte.wav,20091217.05.street.cleaning.wav,InsideBus.wav
-Someone is rifling through papers over and over again.,envelope.wav,AlexandreJourdan_2013_s2.wav,Melon Stabs (Juicy).wav,Plastic bag crumple.wav,pepper grinder.wav,160170_Gravel_OWI.wav,Glass crushed 1.wav,Fire crackling.wav,Footsteps on Crunchy Snow.wav,bread_in_toaster.wav
-Dice or a similar object rattles as a container shakes them.,Pecan nuts cracked open.wav,Squeaking of door handle and rumbling of door.wav,Pills02.wav,DVD Cases.wav,stones on thin ice.wav,abandoned-ballroom-objects-wood-metal.wav,wine_glasses_drying_bottom_up (miroslawski.net).wav,Fire crackling.wav,Gun Handling.wav,Mascara.wav
-People are speaking softly  and water is splashing.,Oxford Cambridge boat race 2010.wav,20110823_mountain.01.wav,CFX-20130331-UK-DorsetHarbour04.wav,20100806.stockholm.street.ambiance.wav,BigCrowdBigHall.wav,maastricht town sounds.wav,atmo__wind_leaves_water_traffic.wav,Inside Car Ambience Next to School More Quiet Version.wav,korea_flohmarkt.wav,Ambience outside a series of restaurants.wav
-someone closed a door and begins to walk around.,entering1.wav,Footsteps on Wood floor 1.wav,door walking exit.wav,Walking on Wood Floor.wav,closing washing machine.wav,20091226.soft.door.wav,20150330_11.wooden.floor.night.MS.wav,big wooden door open close.wav,Walking Downstairs.wav,Opening and closing a big old door.wav
-People are talking in the background of some event.,BigCrowdBigHall.wav,In_a_que01.wav,Ambience outside a series of restaurants.wav,110420-001_openair_cafe_karlsruhe_Schlosscafe.wav,20091217.20.pedestrians.wav,Cafe 1.wav,Kurla local train station Mumbai (1).wav,UoA_Kcq_voices2_120224.wav,Twee dozen aardbeien.wav,20100806.stockholm.street.ambiance.wav
-A man breaths out for as long as he could.,Help Me.wav,md1trk13.wav,Broom brushing on mat.wav,"Call to Prayer, Old Dehli.wav",foley noisy chair moving standing up different speed.wav,Foley Man Collapsing.wav,synthwind.wav,Mouth Wind Howling.wav,Drinking Water and refreshing sigh.wav,Hair Clippers 2.wav
-Some people are running very fast as their shoes clatter on the ground.,steps in the station.wav,20091217.20.pedestrians.wav,20150712_underground.parking.wav,20091226.squeaky.door.wav,maastricht town sounds.wav,SR005F.wav,UoA_PJ120202_HighStAlleyEch.wav,Noise and Walking 2.wav,Footsteps Dirt 02.wav,horse in woods 130213_00.wav
-Water dropping on a metal surface at a constant speed and rate.,Water_Falling_Bathtub_Drain.wav,RainFallsThruTinGutterMcCoy.wav,20130825-Water-fountain-Slavonice.wav,gully with water drips.wav,Rain_Patter_01.wav,WATER DRIP 2 ECHO LOW PITCH.wav,"Water - Leak, small.wav",Stream Under Rocks.wav,creekclose.wav,shower short.wav
-A train is rolling past on tracks and blowing its horn.,kamakura_train.wav,train11.wav,Train Passing Grade Crossing.wav,ShortTrain.wav,"Amtrak Crescent and Commuter Train, Left to Right.wav",train_coming_in.wav,bangalore_zug_schnell.wav,Class 31 No 31108 at Sutton Cross Halt.wav,vertrek.wav,TREIN3.wav
-someone is scratching a metal tin with a folk.,abandoned-ballroom-objects-wood-metal.wav,Bell from large rabbit plush.wav,safe deposit box lock-unlock.wav,Key Jingling.wav,clunks_in_water.wav,Glasses Kitchen_IO.wav,water jugs.wav,Pounding a metal stake with hammer v2.wav,Metal_Tin_Hit_bang.wav,Ambience_hurricane tube_low freq.wav
-someone is putting all the clean glasses back to the shelve.,Wine glass hits.wav,metal-bowl-long-decay.wav,Bell from large rabbit plush.wav,3overtones.wav,clunks_in_water.wav,Bell7.wav,clang_metal_(hit).wav,kettle-watergong3.wav,Water drops into a metallic bowl.wav,Bell 6inch away.wav
-Rain drops starts slowly then gets harder and stronger.,Heavy Rain tin roof.wav,"Wind in a tree, close to the foliage.wav",Heavy wind and rain.wav,RainFallsonUmbrellaMcCoy.wav,RainFallsThruTinGutterMcCoy.wav,"Rain next to open window, dog barks in the distance.wav",Fountain at place pigale - Paris - France.wav,WATER SHOWER 001.wav,White Water.wav,Rain 02 091012.wav
-A man introduces himself and talks about music and a woman he knows.,vendedor_ambulante.wav,Cityscape 02 100208.wav,Windermere Ferry Door Closing.wav,F-1-race-cars-restart-1stLap-Turn11-DR081.wav,church_bell_song.wav,01451 war scene arrangement 1.wav,trolley car B.wav,inside an old factory under recustruction.wav,Apartment Ambiance 2.wav,times_square.wav
-The sound is from the machine in the factory.,ambiant hangar sound.wav,20091217.05.street.cleaning.wav,Apartment Ambiance 2.wav,refrigerator buzzing.wav,traffic from inside an apartment.wav,indoors WC bathroom ambient room tone.wav,lift_relais.wav,kitchen refrigerator working.wav,JM_MACHINE_Coffee Machine 01 - Office.wav,WM_drain_pre_spin_cycle_24_96_mono.wav
-"A alarm bell at a rail crossing sounds, then cars start to drive.",crossing bells.wav,MetroTrain.wav,110719_glasgowdemolish.wav,openingdome.wav,1_ambiente inicio.wav,DH12_141Tram1.wav,TREIN3.wav,NY 176andSt.Nicholas AMB.wav,vertrek.wav,"Sredniy Nikolopeskovsky lane, evening ambiance.wav"
-Rain is falling very slowly for a longer period.,Fountain at place pigale - Paris - France.wav,RainFallsonUmbrellaMcCoy.wav,"Wind in a tree, close to the foliage.wav",RainFallsThruTinGutterMcCoy.wav,13_Rain_onGrassStone_Gutter_44_16.wav,Heavy Rain tin roof.wav,"Rain next to open window, dog barks in the distance.wav",Heavy wind and rain.wav,leaves_on_the_wind.wav,20100110.rain.marshes.wav
-"Jangly metal items are bobbled in water, becoming more frantic towards the end, then returning to pace.",20110823_mountain.01.wav,water jugs.wav,amsterdam bijmer station escalator.wav,inside an old factory under recustruction.wav,windy day indoors windows rattle.wav,bright_wind.wav,waves and that helicopter.wav,abandoned-ballroom-objects-wood-metal.wav,balloonburner.wav,130915 - Interior Room - Hard Rain on Flat Roof.wav
-An airplane gets louder as though it is approaching and then recedes.,german motorway or the autobahn.wav,Waves near the dock.wav,treinREM2.wav,CP_Whipping_Wind_Storm_Medium01.wav,bright_wind.wav,AMB_traffic_night_distant_02.wav,Mouth Wind Howling.wav,ambience winter train station outdoor quiet distant construction.wav,NY 176andSt.Nicholas AMB.wav,OMV_02.wav
-A tractor is running in the paddy field to collect paddy.,City Street.wav,Roof with fans.wav,Rural nightfall atmos.wav,room tone empty train station quiet.wav,german motorway or the autobahn.wav,NY 176andSt.Nicholas AMB.wav,The Commons.wav,stoplight.wav,atmo__wind_leaves_water_traffic.wav,ambience winter train station outdoor quiet distant construction.wav
-A police car siren as the car rushes throw.,Ambulence - WARNING LOUD.wav,police motorcycle distance to stop.wav,STREET_AMBULANCE_01.wav,Whelen Piercer.wav,FIRE ENGINE long approach and drive away.wav,Very loud thunder clap.wav,bright_wind.wav,german motorway or the autobahn.wav,PlanetaryAndXporterSingleLoop_STTOS_recreated.wav,20110823_mountain.01.wav
-A bell rings out as birds chirp in the background.,ambient_sound.wav,Birds and Nature.wav,spider_monkeys.wav,1_ambiente inicio.wav,004-Ambient Recording at Saint-Augustin (FR 7pm in October).wav,Sk310308 chaffinch crow.wav,Ambient noise Kauai.wav,In an English Suburban Garden.wav,screech_owl.wav,The Commons.wav
-A train uses its horn then passes by on the tracks.,Train Passing Grade Crossing.wav,train11.wav,kamakura_train.wav,ShortTrain.wav,"Amtrak Crescent and Commuter Train, Left to Right.wav",vertrek.wav,train_coming_in.wav,TREIN3.wav,tram_night_crossroad_stop_go_02.wav,Class 31 No 31108 at Sutton Cross Halt.wav
-"sounds is transmitted through the air in waves, or sound pressures.",Waves near the dock.wav,CP_Whipping_Wind_Storm_Medium01.wav,Sea Waves Splash the Beach on the Isle of Wight Coast.wav,CFX-20130331-UK-DorsetSeaBeach02.wav,Waves on to rocks.wav,Storm wind.wav,Sea&amp;wind.wav,Pirita Storm waves06.12.2015.wav,Wind in trees-force8-night.wav,Siberian Weather Front 5 PM 110304.wav
-A person is driving a car and revving the engine.,Diesel truck and small car.wav,Crossroads with traffic lights #1.wav,Engine Reving.wav,Boulevard with motorbike.wav,german motorway or the autobahn.wav,street.wav,F-1-race-cars-restart-1stLap-Turn11-DR081.wav,CarStart Idle Rev.wav,bath room fan.wav,motors-moteurs.wav
-Someone is walking across a wooden floor at a slow pace.,Walking on Wood Floor.wav,Footsteps on Wood floor 1.wav,door walking exit.wav,Footsteps Dirt 02.wav,footsteps-gravel-birds.wav,running_forest_snow.wav,footsteps in woods.wav,Foley Man Collapsing.wav,Walking Downstairs.wav,20150330_11.wooden.floor.night.MS.wav
-A women is talking while it is rains in back ground.,"Rain next to open window, dog barks in the distance.wav",Rain 02 091012.wav,rainy alleyway.wav,rainy morning in town.wav,Ousman Ramble.wav,Fountain at place pigale - Paris - France.wav,platform.wav,Heavy wind and rain.wav,Place Pigalle ambience Paris.wav,20110823_mountain.01.wav
-A swarm of wasps are buzzing in a loud tone.,bumble bee web.wav,Interference3.wav,Coffee Machine - Brew 1.wav,JM_MACHINE_Coffee Machine 01 - Office.wav,"Bumblebees in garden, calm wind, crickets in background 1,21min.wav",soundscape forest.wav,refrigerator buzzing.wav,Cicada.1.45.wav,Espresso Machine.wav,motors-moteurs.wav
-A bird is chipping outside with crickets and other bugs making noise in the background.,Cicada.1.45.wav,screech_owl.wav,Cricket2.wav,Birds and Nature.wav,AugustNightInCornField.wav,"Insects in the herbs of the plain, thunders in background.wav",high park crickets.3.wav,20070628.casual.ambiance.wav,ambient_sound.wav,Cicada 1.wav
-"Rippling beeping noises, underwater pressure noise in the background.",ambient bubbling liquid.wav,Water_bubbles_stereo_StereoPiezo_44_24.wav,Squeaky Windshield Wipers.wav,radio_am_01.wav,gotes lent.wav,"wind, basement, dripping water.wav",raindrops on metal_police background.wav,Tap Drip Vox inc reverb.wav,amsterdam bijmer station escalator.wav,20110823_mountain.01.wav
-Flock of birds making noises and the breath of another animal with chains.,spider_monkeys.wav,screech_owl.wav,redbarn_feeding-horses.wav,tile-scrape-flange1.wav,Key Jingling.wav,Birds and Nature.wav,ambient_sound.wav,20080321.warbler.n.dogs.wav,20070628.casual.ambiance.wav,street.wav
-A man is talking very loudly in a busy public area.,Cafe 1.wav,Ambience outside a series of restaurants.wav,110420-001_openair_cafe_karlsruhe_Schlosscafe.wav,jf Resonant Space.wav,Portugese Fish Market.wav,gaunermarkt_werbung.wav,20110212_mercado.05.wav,Bar atmosphere - Not So Busy.wav,16 coffee shop ambience.wav,Public Place.wav
-An engine is running one vehicle passes by.,Diesel truck and small car.wav,traffic_night_street.wav,Engine Reving.wav,traffic at green light.wav,german motorway or the autobahn.wav,psikedelic.wav,tata_hungary__ady_endre_road_20080718.wav,Japan_Yukinoura_Bamboo_Forest_and_Road_.wav,three departures at bus station.wav,110719_glasgowdemolish.wav
-It is found that heavy wind blowing and touches in surface.,rutting deer 2.wav,Wailing Wind.wav,natural_wind.wav,thunder002.wav,windy day indoors windows rattle.wav,Thunder (Olympus LS-20M).wav,Neighborhood Ambiance.wav,2016-10-06 Thunder Crack.wav,NM-Mejor-Lado-Thunder-01.wav,Torden og lynild 3.wav
-Few birds are chirping in the street background.,spider_monkeys.wav,ambient_sound.wav,The Commons.wav,Birds and Nature.wav,Sk310308 chaffinch crow.wav,pineforest winter NL SHORT 130110_00.wav,Ambient noise Kauai.wav,Neighbourhood Ambiance.wav,In an English Suburban Garden.wav,street.wav
-A loud engine sound that started like a horn.,motors-moteurs.wav,LargeStuckDoorHallway.wav,ship horn.wav,Interference3.wav,refrigerator buzzing.wav,raindrops on metal_police background.wav,Construction Work 1 - 44.1kHz16Bit - Measurement Mirophone - Mono - TASCAM_DR40 - normalized - fade in and fade out low-3.wav,25_MIXER.wav,dumpster truck.wav,JM_MACHINE_Coffee Machine 01 - Office.wav
-Heavy rain with birds singing in the background.,The Commons.wav,Rain And Birds Chirping Krucifix Productions Sound Effects.wav,Heavy wind and rain.wav,spider_monkeys.wav,"Wind in a tree, close to the foliage.wav",pineforest winter NL SHORT 130110_00.wav,Rain 02 091012.wav,EXT Quiet Valley.wav,Sk310308 chaffinch crow.wav,20070628.casual.ambiance.wav
-Water is inconsistently falling and being collected into a sink and draining.,20130825-Water-fountain-Slavonice.wav,Water_Falling_Bathtub_Drain.wav,shower short.wav,gully with water drips.wav,Stream Under Rocks.wav,"Water - Leak, small.wav",bathroomSink1.wav,vand.wav,"Running Water, various pressure.wav",Taps in the Bath.wav
-A machine is whirring with the same frequency as time passes.,NY 176andSt.Nicholas AMB.wav,City Street.wav,bath room fan.wav,ambiant hangar sound.wav,Roof with fans.wav,WM_drain_pre_spin_cycle_24_96_mono.wav,110719_glasgowdemolish.wav,Apartment Ambiance 2.wav,office.refrigerator.wav,traffic from inside an apartment.wav
-"Buzzing of Cicadas, hushed scraping of wood in background.",Cricket2.wav,AugustNightInCornField.wav,Cicada.1.45.wav,kitchen refrigerator working.wav,Machine.wav,Crickets Night 2.wav,greece_naxos_cicadas_6.wav,August night.wav,JM_MACHINE_Coffee Machine 01 - Office.wav,Hour glass sand falling.wav
-A guy is flicking something slowly and steadily.,md1trk13.wav,amsterdam bijmer station escalator.wav,foley noisy chair moving standing up different speed.wav,HARDWARE STORE ROOMTONE.wav,Remulada.wav,steam engine.wav,Analog Wall Clock.wav,indoors dorm dormitory ambient room tone closed window distant noises neighbours.wav,Ball bouncing.wav,Scraping of a Carpet with a Brush.wav
-A lawnmower engine runs while people talk in the background.,engine boat passing by.wav,RomaBenzinaioGas_viaPomonte.wav,03199 power generator construction place .wav,soft-motor-wobble.wav,motors-moteurs.wav,WM_drain_pre_spin_cycle_24_96_mono.wav,ATV foley &amp; drive in woods - Reverberant [ST].wav,20091217.05.street.cleaning.wav,Oxford Cambridge boat race 2010.wav,Diesel train arrives and departs 1.wav
-"Pages are being turned as time proceeds, over and over.",Washing short hair.wav,Melon Stabs (Juicy).wav,Clothing Rubbing Foley Sound.wav,Brushing Hair.wav,footsteps_pebble_each_01.wav,bread_in_toaster.wav,Cash Money sounds_fieldtapes.wav,Cutting paper.wav,Footsteps on Crunchy Snow.wav,Booklet_-_Leaf_through_02_L_Close_R_Distant.wav
-A piece of plastic hits against another object making a clicking noise.,Squeaking of door handle and rumbling of door.wav,hits_bathroomStomp.wav,Briefcase Open &amp; Close 2.wav,DVD Cases.wav,RowanMagennis_160019_SD100_DeadBodyHitsWoodenFloor.wav,fist bang 2.wav,stretch .wav,Glass crushed 1.wav,Twist Off Bottle Cap.wav,160170_Gravel_OWI.wav
-A female PA announcement is faintly broadcast among street ambience.,Kurla local train station Mumbai (1).wav,Kurla local train station Mumbai (2).wav,Ambience outside a series of restaurants.wav,BigCrowdBigHall.wav,160718 HSN spanish fish market.wav,Tea Garden Outside Ambience.wav,Cafe 1.wav,In_a_que01.wav,UoA_Kcq_voices2_120224.wav,shopper_atmos.wav
-The cat is knocking the door and making the sound.,door_squeaky.wav,creaky-door-11.wav,door walking exit.wav,closing washing machine.wav,entering1.wav,FX_Closing Sqeezing Wooden Door.wav,Cat Meow and Purr.wav,Squeaking of door handle and rumbling of door.wav,Opening and Closing an old Glass Door.wav,Squeaky Windshield Wipers.wav
-A roller coaster splashing in water and people are screaming while music is played in the background.,08-Bakken_RacingCars.wav,Amusement Park.wav,20110823_mountain.01.wav,Oxford Cambridge boat race 2010.wav,Amusement Park (Ambience).wav,church_bell_song.wav,train-station-Rajasthan.wav,toy_tower.wav,Busy Drug Store.wav,times_square.wav
-Birds are chirping in the background with computer mouse making clicking sounds.,nightbird.wav,spider_monkeys.wav,ambient_sound.wav,Birds of Noosa Biosphere Reserve.wav,20060607.bird.gone.nuts.wav,Budgies Chirping 2.wav,Birds and Nature.wav,Birds_Singing.wav,Ambient noise Kauai.wav,An English Country Garden in July.wav
-A person is announcing lotto numbers that are being drawn.,rutting deer 2.wav,20110823_mountain.01.wav,"Call to Prayer, Old Dehli.wav",Windermere Ferry Door Closing.wav,radio_am_01.wav,vendedor_ambulante.wav,Apartment Ambiance 2.wav,Synth Wind.wav,AMB_traffic_night_distant_02.wav,atmo__wind_leaves_water_traffic.wav
-"A church bell is chiming few times, making noise.",20101118.omnium.sanctorum.wav,20060730.bells.wav,church bell_ljubljana.wav,Marble Church.wav,1167church_clock_striking_ten.wav,Lisbon&#39;s church.wav,Carillon Servaas Church 100411.wav,20090419.san.pedro.bells.wav,Inside Servaas Church 01 100411.wav,More Bells.wav
-A little kid singing and saying random sayings and words.,dog howl in woods.wav,city park Tel Aviv.wav,cat_door.wav,noise pollution in a city park.wav,sparrows_berlin.wav,Baby throwing sand all over the place.wav,outdoors ambient distant village 2.wav,ABC&#39;s (long version).wav,09-07-15_2053_Small place near metro station Faria Guimaraes in the evening.wav,stanley_and_reese_bath_03.wav
-Lawn edgder motor running and clipping grass and automobiles sounds in background.,engine boat passing by.wav,bumble bee web.wav,ATV foley &amp; drive in woods - Reverberant [ST].wav,arrancada i aturada de la moto.wav,03199 power generator construction place .wav,TAMPER_0332.wav,Rain on the Window Sill (indoors).wav,FP_Diesel_Tractor_Start_Run.wav,Outside Sound.wav,motors-moteurs.wav
-A person is pouring water into a bottle from a tap.,gotes mig.wav,gotes lent.wav,bathroom_water_tap_on_fill_off_drain_24_96_stereo.wav,sink1.wav,lavar platos.wav,Dribbling water Edited.wav,shower short.wav,Washing and scrubbing.wav,bathroomSink1.wav,"Water - Leak, small.wav"
-a piano playing with a dog backing in the background.,church_bell_song.wav,stray_dogs.wav,Helicopter and crows passing overhead.wav,The Commons.wav,harbour scene 2.wav,Rural nightfall atmos.wav,street.wav,grilla_garden_ambience.wav,spider_monkeys.wav,City Traffic (Outdoor).wav
-The Islamic prayer-Adhan- is called by a muezzin while people are speaking from the background.,Ambience outside a series of restaurants.wav,jf Resonant Space.wav,20110212_mercado.05.wav,BigCrowdBigHall.wav,"Call to Prayer, Old Dehli.wav",110420-001_openair_cafe_karlsruhe_Schlosscafe.wav,16 coffee shop ambience.wav,shopper_atmos.wav,Kurla local train station Mumbai (1).wav,Mall Ambient.wav
-"Rain falls, then a flash of thunder followed by a car alarm and then a honking car.",Rain falling and thunder clapping in a storm.wav,20070610.thunder.wav,thunderstorm_4.wav,20110823_mountain.01.wav,rain_villaverde1.wav,thunder_nl.wav,inicio.wav,Heavy wind and rain.wav,Torden og lynild 3.wav,crossing bells.wav
-An underground train is passing by on a track.,vertrek.wav,Moscow metro journey.wav,TREIN3.wav,Train Plan V 090627.wav,"Train Passing, Close, Left to Right, B.wav",istanbul tram.wav,"Amtrak Crescent and Commuter Train, Left to Right.wav",Travers.wav,2 Subway Nice Place to Live.wav,DH12_141Tram1.wav
-A microwave finishes warming food and then beeps.,Microwave 01.wav,Fan noise.wav,ambiant hangar sound.wav,lift_relais.wav,Stove Full.wav,City Street.wav,indoors WC bathroom ambient room tone.wav,refrigerator buzzing.wav,kitchen refrigerator working.wav,Apartment Ambiance 2.wav
-"After a pause, an alarm bell rings eight times continuously.",crossing bells.wav,Old alarm clock (ticking and ringing).wav,templebell.wav,Bell Ring.R.wav,Short circuit.wav,Bell7.wav,bikebell.wav,Pounding a metal stake with hammer v2.wav,Wine glass hits.wav,PlanetaryAndXporterSingleLoop_STTOS_recreated.wav
-A bath is slowly being run for an extended period of time.,gotes lent.wav,Water_bubbles_stereo_StereoPiezo_44_24.wav,gully with water drips.wav,ambient bubbling liquid.wav,"wind, basement, dripping water.wav",water blups.wav,Waterflow_Ib.wav,gotes mig.wav,Tap Drip Vox inc reverb.wav,Paper_Shake.wav
-A drum is being beat on with a person's hands.,pukanie1.wav,screenplayTheater__footsteps_leatherSoles-onWood.wav,window rapping.wav,trolley wheels foley-mg.wav,abandoned-ballroom-objects-wood-metal.wav,boxes_falling_down_stairs_01.wav,RowanMagennis_160019_SD100_DeadBodyHitsWoodenFloor.wav,playing chess.wav,water jugs.wav,Heavy Trash Hit.wav
-someone walking while bird singing with an engine noise in the background.,footsteps-gravel-birds.wav,noise pollution in a city park.wav,steps in the station.wav,Footsteps on Wood floor 1.wav,istanbul tram.wav,nia walking.wav,Covent_Garden_rain_5.wav,maastricht town sounds.wav,horse in woods 130213_00.wav,street.wav
-Ambient computer-generated flute-like sound that gets progressively more high-pitched.,crossing bells.wav,resonante bass ring-15.J.wav,thebit2.wav,Voktebef_I&#39;m not sure if I&#39;m here.wav,Desert at Night.wav,Crickets Night 2.wav,screech_owl.wav,Synth Wind.wav,bright_wind.wav,PlanetaryAndXporterSingleLoop_STTOS_recreated.wav
-A person is starting the bike and after some time walking on the staircase.,Footsteps on Wood floor 1.wav,door walking exit.wav,Walking on Wood Floor.wav,Footsteps Dirt 02.wav,entering1.wav,20150330_11.wooden.floor.night.MS.wav,footsteps-gravel-birds.wav,20091226.squeaky.door.wav,plastic foil (outdoor recording).wav,closing washing machine.wav
-A loud instrumental sound playing in the background.,NEW INTRO FEB 2012 TDAR.wav,church_bell_song.wav,popibuuns.wav,church organ 2.wav,PipeWork.wav,Pad_1_w_melody.wav,Voktebef_I&#39;m not sure if I&#39;m here.wav,radio_am_01.wav,Apartment Ambiance 2.wav,IRON_SLIDE.wav
-"Static whines and crackles, while techno music plays softly.",Electromagnetic Waves on a Macbook Pro.wav,stereo noise experiment 130820.wav,bitmapnoise3.wav,bright_wind.wav,08-Bakken_RacingCars.wav,radio_am_01.wav,md1trk18.wav,Dry Erase.wav,plastic foil (outdoor recording).wav,RainFallsonUmbrellaMcCoy.wav
-"A person skates on the floor in the distance, grows closer, passes by, and then skates away.",Footsteps on Wood floor 1.wav,istanbul tram.wav,110719_glasgowdemolish.wav,NY 176andSt.Nicholas AMB.wav,jetengines.wav,Moscow metro journey.wav,street.wav,01451 war scene arrangement 1.wav,erilee_tram_over_bridge.wav,OMV_02.wav
-Rounds of waves are progressively getting stronger as they crash into the beach.,Wind in trees-force8-night.wav,Sea Waves Splash the Beach on the Isle of Wight Coast.wav,forestandocean.wav,CFX-20130331-UK-DorsetSeaBeach02.wav,Pirita Storm waves06.12.2015.wav,Waves near the dock.wav,Storm wind.wav,Waves on to rocks.wav,CP_Whipping_Wind_Storm_Medium01.wav,Siberian Weather Front 5 PM 110304.wav
-Water pours out of a faucet and splashes and bubbles into a pool of water.,bathroomSink1.wav,20130825-Water-fountain-Slavonice.wav,Water_Falling_Bathtub_Drain.wav,Peeing into toilet.wav,gully with water drips.wav,Stream Under Rocks.wav,WATER DRIP 2 ECHO LOW PITCH.wav,tub faucet and drain.wav,Dropping water.wav,"Water - Leak, small.wav"
-Someone walking in shoes closer and faster before stopping.,footsteps-gravel-birds.wav,Footsteps Dirt 02.wav,Walking on Wood Floor.wav,Footsteps on Wood floor 1.wav,running_forest_snow.wav,Footsteps on Hard Floor.wav,footsteps in woods.wav,20091226.squeaky.door.wav,FootstepsOnaDock.wav,nia walking.wav
-Two knocking sounds and then a louder continuous noise for a longer period of time.,pukanie1.wav,RowanMagennis_160019_SD100_DeadBodyHitsWoodenFloor.wav,Ball bouncing.wav,Analog Wall Clock.wav,hits_bathroomStomp.wav,door walking exit.wav,Microwave1.wav,fist bang 2.wav,settingdownglassbottle.wav,Squeaking of door handle and rumbling of door.wav
-"Wind sounds with mid-range, simple vocal chanting.",Mouth Wind Howling.wav,rutting deer 2.wav,thebit2.wav,Synth Wind.wav,Interference3.wav,"Call to Prayer, Old Dehli.wav",trame5_5.wav,Hair Clippers 2.wav,PlanetaryAndXporterSingleLoop_STTOS_recreated.wav,stereo noise experiment 130820.wav
-In the road a bus moves fast and engine is louder.,Diesel truck and small car.wav,Engine Reving.wav,110719_glasgowdemolish.wav,City Street.wav,psikedelic.wav,Roof with fans.wav,traffic at green light.wav,traffic_night_street.wav,three departures at bus station.wav,Crossroads with traffic lights #1.wav
-A rattle being shaken then stops and fades away before coming back again louder.,Pills02.wav,Wheat ears shaken.wav,nxSample-158.wav,Pecan nuts cracked open.wav,metallic_crackle.wav,grasshopper.wav,Fire crackling.wav,20061214.wrench.01.wav,150209 Trevor Webb Teeth Brushing.wav,Key Jingling.wav
-Opening a door with  hinges that has not been greeced for a long period of time.,door_squeaky.wav,FX_Closing Sqeezing Wooden Door.wav,creaky-door-11.wav,Squeaking of door handle and rumbling of door.wav,door sound.wav,door walking exit.wav,ouverture-contenair_1.wav,safe deposit box lock-unlock.wav,Opening and Closing an old Glass Door.wav,abandoned-ballroom-objects-wood-metal.wav
-Heavy rain is pounding violently as time passes.,Rain 02 091012.wav,"Rain next to open window, dog barks in the distance.wav",Fountain at place pigale - Paris - France.wav,Heavy wind and rain.wav,"Wind in a tree, close to the foliage.wav",RainFallsonUmbrellaMcCoy.wav,Heavy Rain tin roof.wav,inicio.wav,20100110.rain.marshes.wav,rainy alleyway.wav
-A machine was turned on and it is working continuously.,ambiant hangar sound.wav,refrigerator buzzing.wav,washing_machine_beginning.wav,kitchen refrigerator working.wav,JM_MACHINE_Coffee Machine 01 - Office.wav,bath room fan.wav,indoors WC bathroom ambient room tone.wav,WM_drain_pre_spin_cycle_24_96_mono.wav,Apartment Ambiance 2.wav,Microwave 01.wav
-Birds chirping on a quiet street as a car passes by.,street.wav,Neighbourhood Ambiance.wav,spider_monkeys.wav,The Commons.wav,Japan_Yukinoura_Bamboo_Forest_and_Road_.wav,Morning Ambience city.wav,tata_hungary__ady_endre_road_20080718.wav,ambient_sound.wav,Small italian village - Quite afternoon.wav,pineforest winter NL SHORT 130110_00.wav
-A metal objects makes a buzzing sound and rings as it vibrates.,Bell from large rabbit plush.wav,Ambience_hurricane tube_low freq.wav,dremmel-noise2.wav,metallic_crackle.wav,sd_coffee3.wav,Hammering on Anvil.wav,Wine glass hits.wav,Construction Work 1 - 44.1kHz16Bit - Measurement Mirophone - Mono - TASCAM_DR40 - normalized - fade in and fade out low-3.wav,Bell7.wav,Machine.wav
-A drill whirs and whines as it drills into wood.,150209 Trevor Webb Tire Squeeke.wav,electric screwdriver_ST.wav,newport-hotel-blow-drier.wav,dremmel-noise2.wav,Mechanical office sharpener.wav,Blinds being opened and closed quickly and slowly.wav,sd_coffee3.wav,Machine.wav,kitchen refrigerator working.wav,departing_train.wav
-high wind is flowing trough windows of home.,AMB_traffic_night_distant_02.wav,Desert at Night.wav,rockonice.wav,atmo__wind_leaves_water_traffic.wav,Waves near the dock.wav,windy day indoors windows rattle.wav,Mouth Wind Howling.wav,bright_wind.wav,HARDWARE STORE ROOMTONE.wav,Neighborhood Ambiance.wav
-"An airplane is flying above houses, making noise.",Helicopter and crows passing overhead.wav,20160610_fading.plane.forest.wav,Rural nightfall atmos.wav,street.wav,german motorway or the autobahn.wav,Cicada.1.45.wav,spaced.wav,Neighborhood Ambiance.wav,office.refrigerator.wav,OMV_02.wav
-Long pieces of sticky tape are removed from a roll.,Remulada.wav,stretch .wav,AlexandreJourdan_2013_s2.wav,Mechanical office sharpener.wav,Glass crushed 1.wav,Pills .wav,Twist Off Bottle Cap.wav,Smoke.wav,pepper grinder.wav,stones on thin ice.wav
-A man talking by the seaside as the water splashes.,CFX-20130331-UK-DorsetHarbour04.wav,rowing boat.wav,rbh Waves Lake Medium 01.wav,Oxford Cambridge boat race 2010.wav,atmo__wind_leaves_water_traffic.wav,waves recording.wav,20110823_mountain.01.wav,Loch-Ness-At-night.wav,waves and that helicopter.wav,CFX-20130331-UK-DorsetHarbour02.wav
-"Bells ring loudly, playing a song while a door slams, and people converse.",Inside Servaas Church 01 100411.wav,toy_tower.wav,vendedor_ambulante.wav,Lisbon&#39;s church.wav,train-station-Rajasthan.wav,Busy Drug Store.wav,20091214.christmas.song.wav,160718 HSN spanish fish market.wav,shopper_atmos.wav,Grocery Shop Atmos.wav
-The Newsreader speaks the news in channel tv.,CafeAmbience.wav,PS3F_FOZ_centro_Mufato_carrinhos_tarde.wav,Construction Work 1 - 44.1kHz16Bit - Measurement Mirophone - Mono - TASCAM_DR40 - normalized - fade in and fade out low-3.wav,Tea Garden Outside Ambience.wav,RomaBenzinaioGas_viaPomonte.wav,Grocery Shop Atmos.wav,begin-metro-BCN.wav,130916 General Paz y Panamericana.wav,aup.wav,Coming into a hospital in saturday.wav
-A pressurized air gun is being fired outside.,Dry Erase.wav,different variations of taring material.wav,balloonburner.wav,Fuse.wav,Water on Coal.wav,Scraping of a Carpet with a Brush.wav,Talll Grass Hits 2.wav,nxSample-158.wav,faucet2.wav,03480 static white noise.wav
-A person is pressing buttons on a typing machine.,type writer.wav,fliping paper.wav,Squeaking of door handle and rumbling of door.wav,cigarette_lighter.wav,Polaroid Camera Shot.wav,Kitchen Timer Ticking Long.wav,Popcorn Foley.wav,Gun Handling.wav,Office environment.wav,Mascara.wav
-someone is using water from a sink and washing his face.,shower short.wav,Taps in the Bath.wav,Water_Falling_Bathtub_Drain.wav,lavar platos.wav,bathroomSink1.wav,gotes lent.wav,sink1.wav,Dribbling water Edited.wav,gully with water drips.wav,Peeing into toilet.wav
-Insects are loudly singing while a fly buzzes around a few times.,"Bumblebees in garden, calm wind, crickets in background 1,21min.wav",soundscape forest.wav,bumble bee web.wav,20060620.ambiance.forest.summer01.wav,Buzzbees.wav,Yellow Throated Honeyeater.wav,Cicada.1.45.wav,Cricket2.wav,An English Country Garden in July.wav,20060804.marshes.cricket02.wav
-"Water is rushing out of a faucet, then the shower, finally slowing down to a trickle.",Water_Falling_Bathtub_Drain.wav,gully with water drips.wav,Stream Under Rocks.wav,WATER SHOWER 001.wav,20130825-Water-fountain-Slavonice.wav,shower short.wav,bathroomSink1.wav,Peeing into toilet.wav,tub faucet and drain.wav,Taps in the Bath.wav
-"A person opens a door with a key, they walk down a hallway, their keys are jingling as they walk.",20091226.squeaky.door.wav,steps in the station.wav,entering1.wav,Footsteps on Wood floor 1.wav,Coming into a hospital in saturday.wav,20091226.soft.door.wav,20150712_underground.parking.wav,elevator 001.wav,20061017.apres.lapluie.pigeon.wav,closingmyfrondoor.wav
-First it was heavy rain and then it slows down.,Fountain at place pigale - Paris - France.wav,"Wind in a tree, close to the foliage.wav","Rain next to open window, dog barks in the distance.wav",Heavy wind and rain.wav,RainFallsonUmbrellaMcCoy.wav,Rain 02 091012.wav,Heavy Rain tin roof.wav,leaves_on_the_wind.wav,20100110.rain.marshes.wav,inicio.wav
-A wind chime lets out a steady and even hum.,crossing bells.wav,Desert at Night.wav,bright_wind.wav,1_ambiente inicio.wav,"wind, basement, dripping water.wav",AMB_traffic_night_distant_02.wav,resonante bass ring-15.J.wav,cowbells1.wav,Rain And Birds Chirping Krucifix Productions Sound Effects.wav,templebell.wav
-Water is being poured into a cup and then stops.,gotes mig.wav,gotes lent.wav,"Water - Leak, small.wav",Water_bubbles_stereo_StereoPiezo_44_24.wav,Washing and scrubbing.wav,gootsteen.wav,water dispenser.wav,Dribbling water Edited.wav,lavar platos.wav,sink1.wav
-The conveyor machine is running in the factory a a person is opening he door.,lift_relais.wav,indoors empty bar noisy ambient 2.wav,NY 176andSt.Nicholas AMB.wav,ambiant hangar sound.wav,Ferry boat.wav,Apartment Ambiance 2.wav,Roof with fans.wav,traffic from inside an apartment.wav,Coming into a hospital in saturday.wav,WM_drain_pre_spin_cycle_24_96_mono.wav
-"Vehicles are passing by, and a group of people are talking and laughing.",Cafe 1.wav,20100806.stockholm.street.ambiance.wav,BigCrowdBigHall.wav,Place Pigalle ambience Paris.wav,BangkokMarket.wav,Ambience outside a series of restaurants.wav,Oxford Cambridge boat race 2010.wav,times_square.wav,"09-07-11_0653_Bolhao early morning, truck gets unpacked.wav",Tea Garden Outside Ambience.wav
-A motor runs steadily and loudly in a room.,20091217.05.street.cleaning.wav,kitchen refrigerator working.wav,WM_drain_pre_spin_cycle_24_96_mono.wav,refrigerator buzzing.wav,Espresso Machine.wav,JM_MACHINE_Coffee Machine 01 - Office.wav,Diesel train arrives and departs 1.wav,Apartment Ambiance 2.wav,bath room fan.wav,ambiant hangar sound.wav
-Plastic is being continuously crunched together while a machine roars in the background.,plastic foil (outdoor recording).wav,JM_MACHINE_Coffee Machine 01 - Office.wav,RainFallsonUmbrellaMcCoy.wav,md1trk18.wav,envelope.wav,Smoke.wav,Electromagnetic Waves on a Macbook Pro.wav,Plastic bag crumple.wav,footsteps_pebble_each_01.wav,AlexandreJourdan_2013_s2.wav
-"Rumbling noise, cars passing by, warning beep of large equipment backing up.",stoplight.wav,"Sredniy Nikolopeskovsky lane, evening ambiance.wav",City Street.wav,110719_glasgowdemolish.wav,three departures at bus station.wav,OMV_02.wav,NY 176andSt.Nicholas AMB.wav,german motorway or the autobahn.wav,traffic-construction-noise.wav,Train Mill Hill v1.wav
-A host of a talk show begins his introduction to the show.,Tea Garden Outside Ambience.wav,110420-001_openair_cafe_karlsruhe_Schlosscafe.wav,Outside UU FSW 080701.wav,Quiet Chat.wav,gaunermarkt_werbung.wav,people chatting background.wav,trolley car B.wav,indoors house ambient living room tone distant neighbours and traffic.wav,Kurla local train station Mumbai (1).wav,korea_flohmarkt.wav
-Rain drops thunder and lightening can be herd from the background.,20070610.thunder.wav,thunder_nl.wav,rain_villaverde1.wav,Torden og lynild 3.wav,very strong thunder by fresco.wav,Rain falling and thunder clapping in a storm.wav,LightningCrash.wav,Rain &amp; Thunder 1 Clap.wav,sw_thunder_03.wav,thunderstorm_4.wav
-A person is using scissors to cut up a piece of paper.,Mascara.wav,Melon Stabs (Juicy).wav,RKeaton_EMF366_3_Water In Glass Bottle with Metal Cap.wav,plants-watering.wav,Washing short hair.wav,Cutting paper.wav,Cash Money sounds_fieldtapes.wav,160170_Gravel_OWI.wav,Fire crackling.wav,Scraping of a Carpet with a Brush.wav
-A vehicle running fast in road and its fastness found by the sound.,Japan_Yukinoura_Bamboo_Forest_and_Road_.wav,tata_hungary__ady_endre_road_20080718.wav,Highway Traffic_1-2.wav,Rural nightfall atmos.wav,traffic_night_street.wav,traffic at green light.wav,Diesel truck and small car.wav,Car Pass and Horse Twang - CherryGardens.wav,german motorway or the autobahn.wav,street.wav
-"A police office talks on her radio to central dispatch, who gives her the address of a disturbance.",vendedor_ambulante.wav,gaunermarkt_werbung.wav,02-BikeDemo_Chimes_Speak.wav,chicago police scanner.wav,Tea Garden Outside Ambience.wav,Ambience outside a series of restaurants.wav,UoA_NuLibraryGlassLift_1202.wav,elvis_radio_announcer.wav,In_a_que01.wav,Cafe 1.wav
-Cars pass by on the streets of a busy city.,traffic at green light.wav,traffic_night_street.wav,tata_hungary__ady_endre_road_20080718.wav,Place Pigalle ambience Paris.wav,Boulevard with motorbike.wav,Crossroads with traffic lights #1.wav,Diesel truck and small car.wav,street.wav,Highway Traffic_1-2.wav,Japan_Yukinoura_Bamboo_Forest_and_Road_.wav
-A machine whirs for awhile and then blips rapidly.,JM_MACHINE_Coffee Machine 01 - Office.wav,kitchen refrigerator working.wav,refrigerator buzzing.wav,Electromagnetic Waves on a Macbook Pro.wav,JM_NOIZ_Buzz 01 - Neon Light.wav,sd_coffee3.wav,Apartment Ambiance 2.wav,ambiant hangar sound.wav,Fan noise.wav,bitmapnoise3.wav
-A mowing machine mowing lawn being pushed a round the lawn.,25_MIXER.wav,ATV foley &amp; drive in woods - Reverberant [ST].wav,JM_MACHINE_Coffee Machine 01 - Office.wav,TAMPER_0332.wav,arrancada i aturada de la moto.wav,bumble bee web.wav,engine boat passing by.wav,motors-moteurs.wav,Outside Sound.wav,kitchen refrigerator working.wav
-"A person eats an apple loudly, crunching and gulping.",Chewing_Fx.wav,20060129.scrub.04.wav,gravel walking.wav,Drinking Water and refreshing sigh.wav,Through Slime.wav,icesplashes3.wav,Melon Stabs (Juicy).wav,drainage pipe running.wav,walking on lava.wav,Dropping Coins into Water.wav
-Pages of a book are being flipped through.,Cash Money sounds_fieldtapes.wav,Washing short hair.wav,Melon Stabs (Juicy).wav,Booklet_-_Leaf_through_02_L_Close_R_Distant.wav,Cutting paper.wav,plants-watering.wav,"Footsteps, slippers dragging on tile.wav",bread_in_toaster.wav,Paper_Tear_Fx.wav,Polaroid Camera Shot.wav
-Loud thunder strikes multiple times amidst a rainstorm.,Rain falling and thunder clapping in a storm.wav,20070610.thunder.wav,thunder_nl.wav,Storm in the mountain forest of Parc regional des Cevennes_1.wav,very strong thunder by fresco.wav,sw_thunder_03.wav,rain_villaverde1.wav,LightningCrash.wav,leaves_on_the_wind.wav,Torden og lynild 3.wav
-"The wind whistles loudly, rising and falling in pitch.",Desert at Night.wav,screech_owl.wav,Urban owl hoot.wav,AMB_traffic_night_distant_02.wav,Mouth Wind Howling.wav,outdoors ambient distant village 2.wav,Waves near the dock.wav,PJcalls2.wav,bebops_wind2.wav,Ambience of the battle field2.wav
-A person struggles to open a door/bolts.,door walking exit.wav,RowanMagennis_160019_SD100_DeadBodyHitsWoodenFloor.wav,fist bang 2.wav,foley noisy chair moving standing up different speed.wav,closing washing machine.wav,Opening Closing old oven.wav,hits_bathroomStomp.wav,entering1.wav,Squeaking of door handle and rumbling of door.wav,150209 Trevor Webb Snooker.wav
-A top is spinning on a wooden table top and slows down.,stretch .wav,disquetera3.wav,door sound.wav,Electric Stovetop.wav,Squeaking of door handle and rumbling of door.wav,pukanie1.wav,Remulada.wav,settingdownglassbottle.wav,Ball bouncing.wav,md1trk13.wav
-The children are happily screaming and playing together.,Next To School in Street Ambience.wav,firenze_kids_churchyard.wav,Kids GardenHose 130723_02.wav,Zag.canon.eda.wav,city park Tel Aviv.wav,stenochscentre.wav,toy_tower.wav,Amusement Park.wav,Clidren_joke_fun.wav,08-Bakken_RacingCars.wav
-"An engine is idling and then revs up several times, getting louder.",Engine Reving.wav,bath room fan.wav,CarStart Idle Rev.wav,car moving 01.wav,ATV foley &amp; drive in woods - Reverberant [ST].wav,FP_Diesel_Tractor_Start_Run.wav,Diesel truck and small car.wav,Interference3.wav,dumpster truck.wav,motors-moteurs.wav
-A sheep is making noise while people take photos and mimic the sheep whilst laughing.,sheep calling her baby lambs.wav,20080302.sheeps.close.wav,Sheep bleating.wav,city pond ducks yell.wav,redbarn_feeding-horses.wav,Ambience - Pig Pen - Day - 96kHzsssssss.wav,PS3F_FOZ_centro_Mufato_anuncio2_tarde.wav,maastricht town sounds.wav,korea_flohmarkt.wav,20100806.stockholm.street.ambiance.wav
-"A pencil taps loudly, then quietly repeatedly several times.",md1trk13.wav,erasing 1.wav,Filing Nail.wav,Mascara.wav,Chopping of vegetables and fruit - knife on cutting board.wav,Gun Cleaning.wav,screenplayTheater__footsteps_leatherSoles-onWood.wav,Scratching Hair.wav,Scraping of a Carpet with a Brush.wav,tile-scrape-flange1.wav
-"A man sniffs his nose, while writing on a chalkboard.","Footsteps, slippers dragging on tile.wav",Scraping of a Carpet with a Brush.wav,erasing 1.wav,Washing short hair.wav,Filing Nail.wav,Scratching Hair.wav,Brushing Hair.wav,Clothing Rubbing Foley Sound.wav,md1trk13.wav,foley noisy chair moving standing up different speed.wav
-An explosion sounds followed by a crowd of people shouting.,20110823_mountain.01.wav,Zag.canon.eda.wav,Sorrento Fireworks.wav,Next To School in Street Ambience.wav,Inside Car Ambience Next to School More Quiet Version.wav,Oxford Cambridge boat race 2010.wav,08-Bakken_RacingCars.wav,stenochscentre.wav,toy_tower.wav,wien_demo.wav
-A car starts the engine and drives past on a road.,Diesel truck and small car.wav,german motorway or the autobahn.wav,Crossroads with traffic lights #1.wav,Engine Reving.wav,City Street.wav,traffic_night_street.wav,street.wav,Highway Traffic_1-2.wav,WM_drain_pre_spin_cycle_24_96_mono.wav,psikedelic.wav
-Someone making loud noises and water running in the background.,20130825-Water-fountain-Slavonice.wav,amsterdam bijmer station escalator.wav,Water_Falling_Bathtub_Drain.wav,StreamPTDMos.wav,kenrokuen.wav,waves and that helicopter.wav,gotes lent.wav,sink1.wav,bathroomSink1.wav,Stream Under Rocks.wav
-Someone is cutting grass with a lawn mower.,bumble bee web.wav,Outside Sound.wav,Talll Grass Hits 2.wav,footsteps_pebble_each_01.wav,Pushing Trolley.wav,20060510.walk.scrub.wav,25_MIXER.wav,plastic foil (outdoor recording).wav,Rain on the Window Sill (indoors).wav,envelope.wav
-A person is talking while someone follows up with silent laughter.,Quiet Chat.wav,gaunermarkt_werbung.wav,110420-001_openair_cafe_karlsruhe_Schlosscafe.wav,Busy Dining Room Atmos.wav,lachen.wav,20100806.stockholm.street.ambiance.wav,Omni_Ambiental_ParkingLot.wav,Outside UU FSW 080701.wav,korea_flohmarkt.wav,"09-07-11_0653_Bolhao early morning, truck gets unpacked.wav"
-Three loud gunshots sending an echo in the air.,04122 metallic cinematic hits.wav,Door pounding - increasing intensity.wav,ThreeFireworks.wav,strange sounding firework rocket explosions.wav,Fireworks_Amsterdam_48_24.wav,Fireworks_2_Amsterdam_48_24.wav,clang_metal_(hit).wav,Thunderstrikes very close.wav,Hammering_Empty tank_large_CLOSE.wav,different variations of taring material.wav
-Crickets chirp near a highway as cars and trucks are speeding by.,hereg_hungary__car_passing_by_1_20080712.wav,Cricket2.wav,Cicada.1.45.wav,hereg_hungary__car_passing_by_2_20080712.wav,high park crickets.3.wav,street.wav,Japan_Yukinoura_Bamboo_Forest_and_Road_.wav,20160610_fading.plane.forest.wav,Car Pass and Horse Twang - CherryGardens.wav,070821_flsp_narrows.wav
-Few music instruments are been played but with some unpleasant disturbance.,church_bell_song.wav,NEW INTRO FEB 2012 TDAR.wav,after nine.wav,kettle-watergong3.wav,church organ 2.wav,Inside Servaas Church 01 100411.wav,Pad_1_w_melody.wav,Bell7.wav,thebit2.wav,"Call to Prayer, Old Dehli.wav"
-A piece of paper is being crumpled indoors.,envelope.wav,AlexandreJourdan_2013_s2.wav,Plastic bag crumple.wav,Melon Stabs (Juicy).wav,160170_Gravel_OWI.wav,pepper grinder.wav,Footsteps on Crunchy Snow.wav,Fire crackling.wav,Glass crushed 1.wav,gravel walking.wav
-A group of people play music band to play musical instruments.,Sao_Paulo_Liberdade_Forro_2014_10_12.wav,Inside Servaas Church 01 100411.wav,meeting singing on boat - galilee.wav,train-station-Rajasthan.wav,Busy Drug Store.wav,church_bell_song.wav,times_square.wav,Amusement Park (Ambience).wav,water jugs.wav,trolley car B.wav
-A cat with unclipped claws is walking on the table.,wine_glasses_drying_bottom_up (miroslawski.net).wav,Squeaking of door handle and rumbling of door.wav,stones on thin ice.wav,Electric Stovetop.wav,stretch .wav,Pills02.wav,abandoned-ballroom-objects-wood-metal.wav,Pecan nuts cracked open.wav,Cat Meow and Purr.wav,Remulada.wav
-Balls drop to the floor one after the other and bounce on the floor several times as they hit.,pukanie1.wav,Squeaking of door handle and rumbling of door.wav,fist bang 2.wav,door walking exit.wav,screenplayTheater__footsteps_leatherSoles-onWood.wav,150209 Trevor Webb Snooker.wav,RowanMagennis_160019_SD100_DeadBodyHitsWoodenFloor.wav,echo_ljubljana_castle.wav,abandoned-ballroom-objects-wood-metal.wav,PaperTossOnDesk.wav
-People are talking in a background at the event.,BigCrowdBigHall.wav,Ambience outside a series of restaurants.wav,Cafe 1.wav,110420-001_openair_cafe_karlsruhe_Schlosscafe.wav,In_a_que01.wav,Binnenrotte market live 100309.wav,Twee dozen aardbeien.wav,20100806.stockholm.street.ambiance.wav,Kurla local train station Mumbai (1).wav,korea_flohmarkt.wav
-Rain is falling more heavier and heavier at a regular speed.,Fountain at place pigale - Paris - France.wav,"Rain next to open window, dog barks in the distance.wav","Wind in a tree, close to the foliage.wav",Rain 02 091012.wav,Heavy wind and rain.wav,Heavy Rain tin roof.wav,White Water.wav,RainFallsonUmbrellaMcCoy.wav,creek_tyrol_austria.wav,inicio.wav
-"Falls with outdoor place, with background birds tweeting.",spider_monkeys.wav,ambient_sound.wav,Sk310308 chaffinch crow.wav,pineforest winter NL SHORT 130110_00.wav,Spring Birds in Finnish forest.wav,In an English Suburban Garden.wav,The Commons.wav,20070628.casual.ambiance.wav,An English Country Garden in July.wav,Birds and Nature.wav
-Thunder is progressively getting louder before dampening off.,fireworkslong2.wav,0808091.wav,NM-Mejor-Lado-Thunder-01.wav,LightningCrash.wav,very strong thunder by fresco.wav,Thunder (Olympus LS-20M).wav,jetengines.wav,Thunder Sounds Long.wav,2016-10-06 Thunder Crack.wav,ThunderRoll02.wav
-A moving object on a rough surfaces making several turns.,plastic foil (outdoor recording).wav,Footsteps on Wood floor 1.wav,door walking exit.wav,wine_glasses_drying_bottom_up (miroslawski.net).wav,Squeaking of door handle and rumbling of door.wav,Squeaky Windshield Wipers.wav,stones on thin ice.wav,Walking on Wood Floor.wav,windy day indoors windows rattle.wav,walk_hard_snow.wav
-"A person is walking outside along a pathway while birds, crickets and general nature is making noise in the background.",footsteps in woods.wav,nia walking.wav,footsteps-gravel-birds.wav,20060510.walk.scrub.wav,Prairie Sounds - walking on dirt road between grassy fields - raw.wav,3 persons walking slowly on grass noisy ambient 2.wav,Night in nature 2.wav,running_forest_snow.wav,20060426.marsh.crikets.bee-eaters.stereo.wav,the sound of melting snow on the path high in the mountains - front.wav
-Low and warbling bass-heavy ambience undulates ceaselessly.,"wind, basement, dripping water.wav",ambient bubbling liquid.wav,radio_am_01.wav,thunder wind 02.wav,jetengines.wav,graveylargo.wav,earthkiller background 1.wav,Mouth Wind Howling.wav,Neighborhood Ambiance.wav,resonante bass ring-15.J.wav
-A plastic bag is repeatedly being scrunched in a medium rate of speed.,md1trk18.wav,envelope.wav,AlexandreJourdan_2013_s2.wav,Melon Stabs (Juicy).wav,Smoke.wav,footsteps_pebble_each_01.wav,Washing short hair.wav,Footsteps on Crunchy Snow.wav,walk_hard_snow.wav,BodyDrag2.wav
-"A man sings while another man chants, before a siren blares, and children talk.",vendedor_ambulante.wav,train-station-Rajasthan.wav,wien_demo.wav,Oxford Cambridge boat race 2010.wav,"Call to Prayer, Old Dehli.wav",20110212_mercado.05.wav,Sirena_24.05.11.wav,Amusement Park (Ambience).wav,BangkokMarket.wav,Cityscape 02 100208.wav
-A door slowly creaks open and closes then creaks open again.,Opening and Closing an old Glass Door.wav,FX_Closing Sqeezing Wooden Door.wav,door_squeaky.wav,creaky-door-11.wav,door sound.wav,Squeaky Windshield Wipers.wav,bread_machine_1.wav,Squeaking of door handle and rumbling of door.wav,Sliding_Window.wav,ouverture-contenair_1.wav
-a pig is eating in an unclosed place.,Chewing_Fx.wav,Ambience - Pig Pen - Day - 96kHzsssssss.wav,stretch .wav,Drinking Water and refreshing sigh.wav,Washing and scrubbing.wav,Through Slime.wav,Remulada.wav,SuctionTool.wav,md1trk13.wav,Water_bubbles_stereo_StereoPiezo_44_24.wav
-"Static noise buzzes loudly, staying at a constant high volume.",TONE pink noise  44.1 16bit.wav,03480 static white noise.wav,Wasserfall 2.wav,5. Apartment ambience inside room.wav,Electromagnetic Waves on a Macbook Pro.wav,20091217.05.street.cleaning.wav,Ambience_Outdoor_Wind_Birds.wav,kitchen refrigerator working.wav,forestandocean.wav,stereo noise experiment 130820.wav
-deep music tones playing louder and then softer and then louder in waves.,radio_am_01.wav,Voktebef_I&#39;m not sure if I&#39;m here.wav,bright_wind.wav,NEW INTRO FEB 2012 TDAR.wav,"wind, basement, dripping water.wav",church_bell_song.wav,resonante bass ring-15.J.wav,Pad_1_w_melody.wav,sweep phrase.wav,ambient bubbling liquid.wav
-A person used a screwdriver and hammer to pound a hard metal object.,Blinds being opened and closed quickly and slowly.wav,abandoned-ballroom-objects-wood-metal.wav,Squeaking of door handle and rumbling of door.wav,Metal coat hanger on steel hook.wav,pukanie1.wav,object falls on wood.wav,150209 Trevor Webb Snooker.wav,Gun Handling.wav,Remove crashed glass.wav,creaky-door-11.wav
-A turbine running in the room conditioning the room to remain cold.,20091217.05.street.cleaning.wav,WM_drain_pre_spin_cycle_24_96_mono.wav,room tone empty train station quiet.wav,ambiant hangar sound.wav,Roof with fans.wav,City Street.wav,City House Ambience.wav,dumpster truck.wav,NY 176andSt.Nicholas AMB.wav,Microwave 01.wav
-A man speaks in the background behind a droning motor.,Apartment Ambiance 2.wav,traffic from inside an apartment.wav,City Street.wav,NY 176andSt.Nicholas AMB.wav,City House Ambience.wav,indoors empty bar noisy ambient 2.wav,refrigerator buzzing.wav,german motorway or the autobahn.wav,Cicada.1.45.wav,Roof with fans.wav
-Vehicles travelling on a wet road in a rainy day.,Heavy wind and rain.wav,Rain 02 091012.wav,Heavy Rain tin roof.wav,Fountain at place pigale - Paris - France.wav,"Wind in a tree, close to the foliage.wav",rainy alleyway.wav,13_Rain_onGrassStone_Gutter_44_16.wav,RainFallsThruTinGutterMcCoy.wav,The Commons.wav,"Rain next to open window, dog barks in the distance.wav"
-A continuous chirp while birds chatter quietly in the background and then a meow from a cat.,09-07-15_2053_Small place near metro station Faria Guimaraes in the evening.wav,Small italian village - Quite afternoon.wav,An English Country Garden in July.wav,Neighbourhood Ambiance.wav,pineforest winter NL SHORT 130110_00.wav,street.wav,Morning Ambience city.wav,swifts 2.wav,Ambient noise Kauai.wav,ambient_sound.wav
-A lever on a machine is squeaking as it is pulled down.,Squeaky Windshield Wipers.wav,tile-scrape-flange1.wav,Old metal pail.wav,amsterdam bijmer station escalator.wav,disquetera3.wav,screech_owl.wav,NY 176andSt.Nicholas AMB.wav,STEREO INTERFERENCE.wav,jetengines.wav,014_House_Fan.wav
-A slow but steady stream of water is running through a brook outside.,burton_waterfall_02.wav,Stream trickling with small waterfall close by.wav,river_small_close_01.wav,creekclose.wav,WS RunningWater.wav,Water on tarp 2.wav,131227_strumyk_2.wav,20130825-Water-fountain-Slavonice.wav,creek_tyrol_austria.wav,forest stream ambiance.wav
-A thunderclap breaks out before quietening followed by a sizzle.,LightningCrash.wav,very strong thunder by fresco.wav,NM-Mejor-Lado-Thunder-01.wav,Torden og lynild 3.wav,thunder_nl.wav,jetengines.wav,Rain falling and thunder clapping in a storm.wav,2016-10-06 Thunder Crack.wav,Thunder (Olympus LS-20M).wav,sw_thunder_03.wav
-"A chest is opened very slowly, it creaks as it is opened, it is then closed slowly and re latched.",bread_machine_1.wav,PUTTING IN DVD.wav,Elevator Ride and Door Open Merchants Bldg.wav,Opening and Closing an old Glass Door.wav,dishwasher01.wav,LR FRONT_INT CAR DOOR SHUT MVT cricket eve.wav,Sliding_Window.wav,Microwave1.wav,ouverture-contenair_1.wav,Squeaking of door handle and rumbling of door.wav
-Men and women talk and a child screams periodically.,firenze_kids_churchyard.wav,20110212_mercado.05.wav,people chatting background.wav,Binnenrotte market live 100309.wav,Twee dozen aardbeien.wav,shopper_atmos.wav,16 coffee shop ambience.wav,In_a_que01.wav,city park Tel Aviv.wav,begin-metro-BCN.wav
-A bell rings/ marbles being crashed together or dropping.,Key Jingling.wav,Bell Ring.R.wav,Bell7.wav,bikebell.wav,metallic_crackle.wav,templebell.wav,Wine glass hits.wav,3overtones.wav,Bell from large rabbit plush.wav,Rustling keys.wav
-A machine is buzzing very loudly the entire time.,JM_MACHINE_Coffee Machine 01 - Office.wav,kitchen refrigerator working.wav,refrigerator buzzing.wav,Espresso Machine.wav,Coffee Machine - Brew 1.wav,JM_NOIZ_Buzz 01 - Neon Light.wav,Electromagnetic Waves on a Macbook Pro.wav,sd_coffee3.wav,Espresso.wav,Interference3.wav
-some insect is making weird noises at garden.,Strange_en_horn.wav,Remulada.wav,August night.wav,AugustNightInCornField.wav,greece_naxos_cicadas_6.wav,Cricket2.wav,20060804.marshes.cricket02.wav,alabamaFrogs.wav,stretch .wav,Clark&#39;s Nutcrackers 01.wav
-Water is leaking from a tap and a dog is drinking it.,Rain_Patter_01.wav,20130825-Water-fountain-Slavonice.wav,shower short.wav,lavar platos.wav,drainage pipe running.wav,Washing and scrubbing.wav,Smoke.wav,Oil sizzling.wav,WATER SHOWER 001.wav,"Water - Leak, small.wav"
-Water flowing downstream and falling on a depression.,Water on tarp 2.wav,WS RunningWater.wav,forestandocean.wav,White Water.wav,Wind in trees-force8-night.wav,20130406_nasty.weather.09.wav,waves and that helicopter.wav,Loch-Ness-At-night.wav,Sea Waves Splash the Beach on the Isle of Wight Coast.wav,Waves near the dock.wav
-the fan is blowing loudly while its stationary.,room tone empty train station quiet.wav,5. Apartment ambience inside room.wav,20091217.05.street.cleaning.wav,bath room fan.wav,Roof with fans.wav,refrigerator buzzing.wav,City House Ambience.wav,City Street.wav,WM_drain_pre_spin_cycle_24_96_mono.wav,Apartment Ambiance 2.wav
-Animals on a farm are whimpering and whinnying.,sheep calling her baby lambs.wav,redbarn_feeding-horses.wav,rutting deer 2.wav,Ambience - Pig Pen - Day - 96kHzsssssss.wav,grilla_garden_ambience.wav,20080302.sheeps.close.wav,zippers02.wav,foley noisy chair moving standing up different speed.wav,single bird.wav,Old metal pail.wav
-Someone is quickly brushing a large metal sheet.,Filing Nail.wav,foley noisy chair moving standing up different speed.wav,Blinds being opened and closed quickly and slowly.wav,Scraping of a Carpet with a Brush.wav,IRON_SLIDE.wav,plants-watering.wav,"Footsteps, slippers dragging on tile.wav",150209 Trevor Webb Teeth Brushing.wav,Walking Downstairs.wav,Foley Man Collapsing.wav
-"Someone unlocks a door and walks in, setting their keys down.",Footsteps on Wood floor 1.wav,entering1.wav,20091226.soft.door.wav,20091226.squeaky.door.wav,Coming into a hospital in saturday.wav,door walking exit.wav,Walking on Wood Floor.wav,closing washing machine.wav,elevator 001.wav,big wooden door open close.wav
-A person is cutting and snipping with scissors.,Mascara.wav,RKeaton_EMF366_3_Water In Glass Bottle with Metal Cap.wav,Match being lit.wav,Paper_Tear_Fx.wav,different variations of taring material.wav,plants-watering.wav,Cutting paper.wav,Zipper sounds.wav,Chopping of vegetables and fruit - knife on cutting board.wav,Fire crackling.wav
-A woman is talking as city sounds are in the background.,Kurla local train station Mumbai (1).wav,Kurla local train station Mumbai (2).wav,Ambience outside a series of restaurants.wav,160718 HSN spanish fish market.wav,BigCrowdBigHall.wav,20091217.20.pedestrians.wav,UoA_Kcq_voices2_120224.wav,noise pollution in a city park.wav,Cityscape 02 100208.wav,shopper_atmos.wav
-"Rain is heavily falling from the sky, making noises.",Rain 02 091012.wav,"Rain next to open window, dog barks in the distance.wav",Fountain at place pigale - Paris - France.wav,Heavy wind and rain.wav,Heavy Rain tin roof.wav,"Wind in a tree, close to the foliage.wav",RainFallsonUmbrellaMcCoy.wav,White Water.wav,RainFallsThruTinGutterMcCoy.wav,inicio.wav
-A moving vehicle that has faulty brakes which is causing friction.,110719_glasgowdemolish.wav,City Street.wav,NY 176andSt.Nicholas AMB.wav,stoplight.wav,"Sredniy Nikolopeskovsky lane, evening ambiance.wav",erilee_tram_over_bridge.wav,german motorway or the autobahn.wav,Roof with fans.wav,istanbul tram.wav,Neighbourhood Ambiance.wav
-A helicopter flies further away as birds are chirping in the background.,20160610_fading.plane.forest.wav,Helicopter and crows passing overhead.wav,Cicada.1.45.wav,hereg_hungary__car_passing_by_1_20080712.wav,street.wav,Cricket2.wav,004-Ambient Recording at Saint-Augustin (FR 7pm in October).wav,Neighbourhood Ambiance.wav,Sk310308 chaffinch crow.wav,An English Country Garden in July.wav
-water is quickly flowing down a long stream.,burton_waterfall_02.wav,WS RunningWater.wav,creekclose.wav,Stream trickling with small waterfall close by.wav,131227_strumyk_2.wav,river_small_close_01.wav,Running water 20121021T2335.wav,20130825-Water-fountain-Slavonice.wav,kenrokuen.wav,White Water.wav
-"Twigs are snapped, paper is crinkled and a machine hums.",160170_Gravel_OWI.wav,envelope.wav,Melon Stabs (Juicy).wav,AlexandreJourdan_2013_s2.wav,bread_in_toaster.wav,Plastic bag crumple.wav,pepper grinder.wav,Glass crushed 1.wav,footsteps_pebble_each_01.wav,Fire crackling.wav
-An Aeroplane is taking off and going high in the sky.,Ambience of the battle field2.wav,5_Navy-Blue-Angels-jets_CLIP.wav,german motorway or the autobahn.wav,Waves near the dock.wav,Tornado Left To  Right.wav,Car Fly by.wav,AMB_traffic_night_distant_02.wav,Car Pass and Horse Twang - CherryGardens.wav,004-Ambient Recording at Saint-Augustin (FR 7pm in October).wav,bright_wind.wav
-A vehicle comes closer before driving quickly past.,street.wav,traffic_night_street.wav,Boulevard with motorbike.wav,german motorway or the autobahn.wav,tata_hungary__ady_endre_road_20080718.wav,traffic at green light.wav,Japan_Yukinoura_Bamboo_Forest_and_Road_.wav,Diesel truck and small car.wav,Crossroads with traffic lights #1.wav,Highway Traffic_1-2.wav
-EDM beat with several breaks is being played.,Bell from large rabbit plush.wav,metallic_crackle.wav,IRON_SLIDE.wav,tile-scrape-flange1.wav,Tone Shift.wav,Alien junkyard.wav,Short circuit.wav,Ambience_hurricane tube_low freq.wav,abandoned-ballroom-objects-wood-metal.wav,Electromagnetic Waves on a Macbook Pro.wav
-A person is turning book pages one by one.,Melon Stabs (Juicy).wav,Washing short hair.wav,Cash Money sounds_fieldtapes.wav,"Footsteps, slippers dragging on tile.wav",Cutting paper.wav,Clothing Rubbing Foley Sound.wav,Booklet_-_Leaf_through_02_L_Close_R_Distant.wav,Brushing Hair.wav,160170_Gravel_OWI.wav,Paper_Tear_Fx.wav
-Loud footsteps of a person walking indoors and then stops.,Footsteps Dirt 02.wav,Walking on Wood Floor.wav,running_forest_snow.wav,footsteps-gravel-birds.wav,Footsteps on Wood floor 1.wav,footsteps in woods.wav,Footsteps on Hard Floor.wav,door walking exit.wav,20060510.walk.scrub.wav,20060129.scrub.04.wav
-A machine spins and thuds while people chatter in the background.,Apartment Ambiance 2.wav,indoors empty bar noisy ambient 2.wav,traffic from inside an apartment.wav,ambiant hangar sound.wav,Noise and Walking 2.wav,City Street.wav,NY 176andSt.Nicholas AMB.wav,lift_relais.wav,InsideBus.wav,Roof with fans.wav
-"Scrubbing back and forth continuously, speeding up toward the end.",150209 Trevor Webb Teeth Brushing.wav,Stanley Knife Scraping Macbook.wav,Filing Nail.wav,md1trk13.wav,md1trk18.wav,Scraping of a Carpet with a Brush.wav,Washing short hair.wav,Remulada.wav,Paper_Shake.wav,Dry Erase.wav
-An animal cooing and multiple different birds chirping.,ambient_sound.wav,20080321.warbler.n.dogs.wav,spider_monkeys.wav,Ambient noise Kauai.wav,An English Country Garden in July.wav,Birds and Nature.wav,nightbird.wav,Sk310308 chaffinch crow.wav,screech_owl.wav,In an English Suburban Garden.wav
-The birds are chirping with cute voice and it is also very cute.,Neighbourhood Ambiance.wav,ambient_sound.wav,Birds and Nature.wav,spider_monkeys.wav,The Commons.wav,Ambient noise Kauai.wav,Small italian village - Quite afternoon.wav,An English Country Garden in July.wav,Morning Ambience city.wav,pineforest winter NL SHORT 130110_00.wav
-A guy is walking a long over some grass as wind blows violently.,3 persons walking slowly on grass noisy ambient 2.wav,20060510.walk.scrub.wav,20060129.scrub.04.wav,HeavySkirtMovement.wav,running_forest_snow.wav,footsteps in woods.wav,DallasWorldAquarium01.wav,footsteps_pebble_each_01.wav,maastricht town sounds.wav,Footsteps Dirt 02.wav
-Someone rides a skateboard in a wooded area and falls.,stones on thin ice.wav,Pushing Trolley.wav,footsteps_pebble_each_01.wav,plastic foil (outdoor recording).wav,Skateboard rolling down concrete ramp.wav,walk_hard_snow.wav,14-Nails Scratching-consolidated.wav,Rolling Chair.wav,Smoke.wav,Mechanical office sharpener.wav
-Metal materials clanking and hitting each other continuously.,Glasses Kitchen_IO.wav,Metal_Tin_Hit_bang.wav,Hammering on Anvil.wav,abandoned-ballroom-objects-wood-metal.wav,Pounding a metal stake with hammer v2.wav,object falls on wood.wav,kitchen indoor atmosphere.wav,Sound_FX_Kitchen_Kniifes and forks.wav,Tool Box.wav,3overtones.wav
-Cars are driving by on a busy highway.,traffic_night_street.wav,german motorway or the autobahn.wav,traffic at green light.wav,tata_hungary__ady_endre_road_20080718.wav,street.wav,Japan_Yukinoura_Bamboo_Forest_and_Road_.wav,Highway Traffic_1-2.wav,Diesel truck and small car.wav,Boulevard with motorbike.wav,"Sredniy Nikolopeskovsky lane, evening ambiance.wav"
-Bush fire on a wind day that starts slowly and fastly fueled by wind.,"Wind in a tree, close to the foliage.wav",20100110.rain.marshes.wav,Very loud thunder clap.wav,Synthetic Thunderstorm.wav,leaves_on_the_wind.wav,inicio.wav,Rural nightfall atmos.wav,rockonice.wav,Waves near the dock.wav,atmo__wind_leaves_water_traffic.wav
-"A valve is opened, the hiss of gas gets very loud and then cuts off.",Dry Erase.wav,Scraping of a Carpet with a Brush.wav,indoors WC bathroom ambient room tone.wav,faucet2.wav,balloonburner.wav,ambiant hangar sound.wav,FLUSH .wav,stereo noise experiment 130820.wav,Water on Coal.wav,water_sink.wav
-"A person scrapes wood in distinct strokes, scrubs it rapidly, then scrapes in distinct strokes again.",foley noisy chair moving standing up different speed.wav,redbarn_feeding-horses.wav,150209 Trevor Webb Teeth Brushing.wav,md1trk13.wav,stray_dogs.wav,Ambience - Pig Pen - Day - 96kHzsssssss.wav,Paper_Tear_Fx.wav,Pug Woof 3.wav,Filing Nail.wav,Scraping of a Carpet with a Brush.wav
-A man is explaining about something while a women laughs at the back ground.,20100806.stockholm.street.ambiance.wav,maastricht town sounds.wav,In_a_que01.wav,UoA_PJ120202_HighStAlleyEch.wav,korea_flohmarkt.wav,110420-001_openair_cafe_karlsruhe_Schlosscafe.wav,BigCrowdBigHall.wav,market1.wav,BangkokMarket.wav,20091217.20.pedestrians.wav
-Someone is opening and closing a car door multiple times.,Footsteps on Wood floor 1.wav,Getting Into Car and Driving Away.wav,LR FRONT_INT CAR DOOR SHUT MVT cricket eve.wav,Auto_Door_Open_Close.wav,door_squeaky.wav,Opening and Closing an old Glass Door.wav,fist bang 2.wav,"HOUSEHOLD-FRIDGE-Whirlpool-brand fridge cooling, opening and closing fridge door_001.wav",Squeaking of door handle and rumbling of door.wav,CFX-20130329-UK-DorsetHouseDoors02.wav
-Tinsel and sleigh bells are being jingled and shaken.,Key Jingling.wav,bikebell.wav,metallic_crackle.wav,Bell7.wav,Bell from large rabbit plush.wav,Bell Ring.R.wav,Rustling keys.wav,Wine glass hits.wav,cowbells1.wav,templebell.wav
-A pressure washer hose rinses out a metal bucket.,Machine.wav,faucet2.wav,vacuuming upholstery.wav,indoors WC bathroom ambient room tone.wav,water_sink.wav,Dry Erase.wav,FLUSH .wav,cart machine.wav,kitchen refrigerator working.wav,electric screwdriver_ST.wav
-"someone drinking from a can, expressing satisfaction and dropping the can hard.",Through Slime.wav,Dropping Coins into Water.wav,Washing and scrubbing.wav,Fire crackling.wav,drainage pipe running.wav,gotes mig.wav,AlexandreJourdan_2013_s2.wav,Plastic bag crumple.wav,Chewing_Fx.wav,WATER DRIP 2 ECHO LOW PITCH.wav
-puppy barking loudly and it need some food.,Pug Woof 3.wav,harbour scene 2.wav,BIG DOGS_Continues Barking Labrador Retriever (SFX).wav,grilla_garden_ambience.wav,stray_dogs.wav,20080321.warbler.n.dogs.wav,crows and owl.wav,20080302.sheeps.close.wav,Canada geese.wav,Ambience - Pig Pen - Day - 96kHzsssssss.wav
-Flying helicopter that has just took off from the runway.,graveylargo.wav,"Helicopter interior, no rotor.wav",Helicopter Landing.wav,refrigerator buzzing.wav,office.refrigerator.wav,airshow_2.wav,bath room fan.wav,WasherEndWashCycleStartSpinCycle.wav,014_House_Fan.wav,kitchen refrigerator working.wav
-A buzz-saw is cutting through some wood against some metal.,JM_MACHINE_Coffee Machine 01 - Office.wav,25_MIXER.wav,departing_train.wav,kitchen refrigerator working.wav,dremmel-noise2.wav,Machine.wav,Electromagnetic Waves on a Macbook Pro.wav,Stanley Knife Scraping Macbook.wav,Chainsaw_2.wav,150209 Trevor Webb Tire Squeeke.wav
-Rain is coming down and thunder is roaring in the background.,Rain falling and thunder clapping in a storm.wav,20070610.thunder.wav,thunder_nl.wav,very strong thunder by fresco.wav,thunderstorm_4.wav,rain_villaverde1.wav,sw_thunder_03.wav,Storm in the mountain forest of Parc regional des Cevennes_1.wav,LightningCrash.wav,inicio.wav
-A speed train is passing and horns repeatedly.,"Amtrak Crescent and Commuter Train, Left to Right.wav",Train Passing Grade Crossing.wav,vertrek.wav,ShortTrain.wav,kamakura_train.wav,TREIN3.wav,"Train Passing, Close, Left to Right, B.wav",train11.wav,train_coming_in.wav,tram_night_crossroad_stop_go_02.wav
-"A large group of people are gathered together inside, some people conversating and some people shouting.",16 coffee shop ambience.wav,20110212_mercado.05.wav,110420-001_openair_cafe_karlsruhe_Schlosscafe.wav,Cafe 1.wav,Carmel Market.wav,Bar atmosphere - Not So Busy.wav,Public Place.wav,people chatting background.wav,Portugese Fish Market.wav,jf Resonant Space.wav
-"A truck hisses for sometime, whooshes and then comes to a stop.",Bus sound.wav,Engine Reving.wav,Diesel truck and small car.wav,110719_glasgowdemolish.wav,psikedelic.wav,Japan_Yukinoura_Bamboo_Forest_and_Road_.wav,stoplight.wav,Highway Traffic_1-2.wav,traffic at green light.wav,three departures at bus station.wav
-A thunderstorm with consistent falling rain and a burst of thunder.,very strong thunder by fresco.wav,LightningCrash.wav,Rain falling and thunder clapping in a storm.wav,thunder_nl.wav,Torden og lynild 3.wav,rain_villaverde1.wav,0808091.wav,Thunder (Olympus LS-20M).wav,20070610.thunder.wav,Thunder Sounds Long.wav
-"A car engine driving by with a ticking clock on the background, followed by a radio conversation by two men.",24 may 2011.wav,02-BikeDemo_Chimes_Speak.wav,Ambience - Quiet Train.wav,20100806.stockholm.street.ambiance.wav,Tea Garden Outside Ambience.wav,Place Pigalle ambience Paris.wav,Ousman Ramble.wav,Subway to Namba St. .wav,soft-motor-wobble.wav,Street scene in Bangkok.wav
-breeze blowing in the background with fire burning.,"Wind in a tree, close to the foliage.wav",13_Rain_onGrassStone_Gutter_44_16.wav,WaterDrops.wav,RainFallsonUmbrellaMcCoy.wav,leaves_on_the_wind.wav,ICE55.wav,fly 1 sands_05.wav,Very loud thunder clap.wav,rockonice.wav,20100110.rain.marshes.wav
-magic music is playing by someone in a theatre.,08-Bakken_RacingCars.wav,Amusement Park (Ambience).wav,jf Resonant Space.wav,20110823_mountain.01.wav,church_bell_song.wav,radio_am_01.wav,times_square.wav,Amusement Park.wav,Busy Drug Store.wav,trolley car B.wav
-A door squeaks open slowly before being slammed shut.,FX_Closing Sqeezing Wooden Door.wav,creaky-door-11.wav,door walking exit.wav,door_squeaky.wav,Opening and closing a big old door.wav,entering1.wav,closing washing machine.wav,big wooden door open close.wav,fist bang 2.wav,Opening Closing old oven.wav
-A jammed machine sound starts low and gets louder and sharp.,JM_MACHINE_Coffee Machine 01 - Office.wav,refrigerator buzzing.wav,kitchen refrigerator working.wav,Coffee Machine - Brew 1.wav,JM_NOIZ_Buzz 01 - Neon Light.wav,Espresso.wav,Apartment Ambiance 2.wav,Hair Clippers 2.wav,Interference3.wav,washing_machine_beginning.wav
-A subway train going through a tunnel gets louder and then fades away.,Moscow metro journey.wav,Travers.wav,vertrek.wav,istanbul tram.wav,2 Subway Nice Place to Live.wav,subway train.L.wav,Train Plan V 090627.wav,TREIN3.wav,OMV_02.wav,NY 176andSt.Nicholas AMB.wav
-Sirens ringing outside and other bangs before fading away.,Sirena_24.05.11.wav,Ambulence - WARNING LOUD.wav,crossing bells.wav,police motorcycle distance to stop.wav,openingdome.wav,PlanetaryAndXporterSingleLoop_STTOS_recreated.wav,FIRE ENGINE long approach and drive away.wav,MetroTrain.wav,004-Ambient Recording at Saint-Augustin (FR 7pm in October).wav,01451 war scene arrangement 1.wav
-A man speaking in a busy train station as people chatter.,110420-001_openair_cafe_karlsruhe_Schlosscafe.wav,Cafe 1.wav,Ambience outside a series of restaurants.wav,BigCrowdBigHall.wav,Portugese Fish Market.wav,16 coffee shop ambience.wav,people chatting background.wav,160718 HSN spanish fish market.wav,Bar atmosphere - Not So Busy.wav,20110212_mercado.05.wav
-a baby making giggling and cooing sounds interchangeably with a crunching sound.,Asher.wav,mau2.wav,stan_laughing_12292012.wav,grilla_garden_ambience.wav,cat_door.wav,city pond ducks yell.wav,lachen.wav,150209 Trevor Webb Teeth Brushing.wav,SuctionTool.wav,Old metal pail.wav
-A music tone echoed and played out slowly then fades away.,Voktebef_I&#39;m not sure if I&#39;m here.wav,church_bell_song.wav,NEW INTRO FEB 2012 TDAR.wav,popibuuns.wav,church organ 2.wav,resonante bass ring-15.J.wav,sweep phrase.wav,crossing bells.wav,PipeWork.wav,radio_am_01.wav
-Birds are chirping as cars cruise by on the road.,The Commons.wav,Neighbourhood Ambiance.wav,street.wav,spider_monkeys.wav,ambient_sound.wav,Japan_Yukinoura_Bamboo_Forest_and_Road_.wav,AMB_Ext_Residential_Day_Stereo_002.wav,Morning Ambience city.wav,Small italian village - Quite afternoon.wav,pineforest winter NL SHORT 130110_00.wav
-A chainsaw is being used for a long time.,Chainsaw_4.wav,Chainsaw_2.wav,Chainsaw_1.wav,25_MIXER.wav,Outside Sound.wav,JM_MACHINE_Coffee Machine 01 - Office.wav,nxSample-158.wav,bumble bee web.wav,Coffee Machine - Brew 1.wav,Construction Work 1 - 44.1kHz16Bit - Measurement Mirophone - Mono - TASCAM_DR40 - normalized - fade in and fade out low-3.wav
-A car engine is making a noise in the background.,City Street.wav,WM_drain_pre_spin_cycle_24_96_mono.wav,german motorway or the autobahn.wav,bath room fan.wav,Diesel truck and small car.wav,traffic from inside an apartment.wav,Crossroads with traffic lights #1.wav,City House Ambience.wav,ambiant hangar sound.wav,NY 176andSt.Nicholas AMB.wav
-someone is waiting for a bus in the rain.,Rain 02 091012.wav,Heavy wind and rain.wav,City Street.wav,Heavy Rain tin roof.wav,rainy alleyway.wav,Roof with fans.wav,Fountain at place pigale - Paris - France.wav,psikedelic.wav,thunderstorm_4.wav,130915 - Interior Room - Hard Rain on Flat Roof.wav
-Very loud and continuous thunder noises without rain.,Rain falling and thunder clapping in a storm.wav,thunder_nl.wav,very strong thunder by fresco.wav,LightningCrash.wav,20070610.thunder.wav,rain_villaverde1.wav,Torden og lynild 3.wav,Storm in the mountain forest of Parc regional des Cevennes_1.wav,sw_thunder_03.wav,thunderstorm_4.wav
-"A woman and man converse, other people chat in the background, as a car passes by.",Kurla local train station Mumbai (1).wav,24 may 2011.wav,Tea Garden Outside Ambience.wav,160718 HSN spanish fish market.wav,Subway to Namba St. .wav,BigCrowdBigHall.wav,UoA_Kcq_voices2_120224.wav,In_a_que01.wav,BangkokMarket.wav,Ambience - Quiet Train.wav
-Birds are singing as a car alarm goes off.,Neighbourhood Ambiance.wav,spider_monkeys.wav,Birds and Nature.wav,ambient_sound.wav,The Commons.wav,screech_owl.wav,004-Ambient Recording at Saint-Augustin (FR 7pm in October).wav,street.wav,Small italian village - Quite afternoon.wav,AMB_CityPark_Day_Seagull_People.wav
-"Guitar plays, a choir starts singing, muffled rumbling in the background.",NEW INTRO FEB 2012 TDAR.wav,meeting singing on boat - galilee.wav,radio_am_01.wav,"wind, basement, dripping water.wav",Windermere Ferry Door Closing.wav,church_bell_song.wav,NY 176andSt.Nicholas AMB.wav,Voktebef_I&#39;m not sure if I&#39;m here.wav,popibuuns.wav,bath room fan.wav
-A rainstorm followed by thunder is currently underway.,Rain falling and thunder clapping in a storm.wav,sw_thunder_03.wav,20070610.thunder.wav,thunder_nl.wav,very strong thunder by fresco.wav,thunderstorm_4.wav,Storm in the mountain forest of Parc regional des Cevennes_1.wav,LightningCrash.wav,Torden og lynild 3.wav,20100110.rain.marshes.wav
-A door is closed and keys are used to lock it.,entering1.wav,20091226.soft.door.wav,closing washing machine.wav,Squeaking of door handle and rumbling of door.wav,FX_Closing Sqeezing Wooden Door.wav,Elevator Ride and Door Open Merchants Bldg.wav,door walking exit.wav,Opening and closing a big old door.wav,closingmyfrondoor.wav,door_squeaky.wav
-"A saw is pulled before bathwater runs, and then a quiet siren goes off.",kitchen refrigerator working.wav,departing_train.wav,25_MIXER.wav,Machine.wav,Spooky Atmosphere.wav,faucet2.wav,newport-hotel-blow-drier.wav,150209 Trevor Webb Tire Squeeke.wav,JM_MACHINE_Coffee Machine 01 - Office.wav,Electromagnetic Waves on a Macbook Pro.wav
-High-pitched noise is being played in the background.,STEREO INTERFERENCE.wav,Electromagnetic Waves on a Macbook Pro.wav,Squeaky Windshield Wipers.wav,Apartment Ambiance 2.wav,traffic from inside an apartment.wav,screech_owl.wav,Crickets Night 2.wav,PlanetaryAndXporterSingleLoop_STTOS_recreated.wav,thebit2.wav,departing_train.wav
-Birds are chirping outside while cars drive by in the distance.,street.wav,The Commons.wav,Neighbourhood Ambiance.wav,Japan_Yukinoura_Bamboo_Forest_and_Road_.wav,spider_monkeys.wav,AMB_Ext_Residential_Day_Stereo_002.wav,tata_hungary__ady_endre_road_20080718.wav,Cicada.1.45.wav,Morning Ambience city.wav,ambient_sound.wav
-A man speaks for a moment and scratches something soft.,Scratching Hair.wav,md1trk13.wav,Brushing Hair.wav,Scraping of a Carpet with a Brush.wav,Chopping of vegetables and fruit - knife on cutting board.wav,Clothing Rubbing Foley Sound.wav,Washing short hair.wav,foley noisy chair moving standing up different speed.wav,HARDWARE STORE ROOMTONE.wav,Gun Cleaning.wav
-An airplane is quickly taking off the airway.,graveylargo.wav,departing_train.wav,treinREM2.wav,faucet2.wav,spaced.wav,office.refrigerator.wav,City House Ambience.wav,Synth Wind.wav,Tornado Left To  Right.wav,bath room fan.wav
-One child speech in very casual and argue for something.,firenze_kids_churchyard.wav,Kurla local train station Mumbai (1).wav,Kurla local train station Mumbai (2).wav,cat_door.wav,stenochscentre.wav,city park Tel Aviv.wav,stanley_and_reese_bath_03.wav,begin-metro-BCN.wav,PS3F_FOZ_centro_Mufato_anuncio2_tarde.wav,Next To School in Street Ambience.wav
-A person is repeatedly hitting a natural object that makes a crinkle sound.,Melon Stabs (Juicy).wav,envelope.wav,Washing short hair.wav,160170_Gravel_OWI.wav,AlexandreJourdan_2013_s2.wav,Footsteps on Crunchy Snow.wav,bread_in_toaster.wav,footsteps_pebble_each_01.wav,Plastic bag crumple.wav,Glass crushed 1.wav
-"A cow is mowing, and children laughing as a guy is walking.",DallasWorldAquarium01.wav,zippers02.wav,city pond ducks yell.wav,redbarn_feeding-horses.wav,Ambience - Pig Pen - Day - 96kHzsssssss.wav,dog howl in woods.wav,lachen.wav,sheep calling her baby lambs.wav,city park Tel Aviv.wav,maastricht town sounds.wav
-Birds are chirping while cars are driving in the background.,The Commons.wav,street.wav,Neighbourhood Ambiance.wav,Japan_Yukinoura_Bamboo_Forest_and_Road_.wav,spider_monkeys.wav,AMB_Ext_Residential_Day_Stereo_002.wav,Cicada.1.45.wav,Morning Ambience city.wav,tata_hungary__ady_endre_road_20080718.wav,Small italian village - Quite afternoon.wav
-A wooden door is being opened and closed several times.,fist bang 2.wav,Opening Closing old oven.wav,closing washing machine.wav,CFX-20130329-UK-DorsetHouseDoors02.wav,door walking exit.wav,FX_Closing Sqeezing Wooden Door.wav,150209 Trevor Webb Snooker.wav,big wooden door open close.wav,CFX-20130329-UK-DorsetHouseDoors01.wav,Opening and closing a big old door.wav
-Birds singing in the forest power sounds ready to cut trees.,Birds and Nature.wav,20070628.casual.ambiance.wav,Rain And Birds Chirping Krucifix Productions Sound Effects.wav,Sk310308 chaffinch crow.wav,Tokyo-cicadas.wav,"Insects in the herbs of the plain, thunders in background.wav",Ambient noise Kauai.wav,In an English Suburban Garden.wav,004-Ambient Recording at Saint-Augustin (FR 7pm in October).wav,Birds and insects in the wetlands of Melissant.wav
-The door opens and closes when a vehicle is in motion.,Coming into a hospital in saturday.wav,ambiant hangar sound.wav,raindrops on metal_police background.wav,Footsteps on Wood floor 1.wav,jetengines.wav,door_squeaky.wav,door walking exit.wav,Elevator Ride and Door Open Merchants Bldg.wav,traffic from inside an apartment.wav,entering1.wav
-The sound is from the conveyor machine in the factory.,Apartment Ambiance 2.wav,NY 176andSt.Nicholas AMB.wav,traffic from inside an apartment.wav,Roof with fans.wav,ambiant hangar sound.wav,WM_drain_pre_spin_cycle_24_96_mono.wav,OMV_02.wav,refrigerator buzzing.wav,indoors empty bar noisy ambient 2.wav,City Street.wav
-Rain is coming and the water flows on the road.,White Water.wav,Heavy Rain tin roof.wav,Fountain at place pigale - Paris - France.wav,creek_tyrol_austria.wav,Rain 02 091012.wav,"Wind in a tree, close to the foliage.wav",StreamPTDMos.wav,Heavy wind and rain.wav,Stream trickling with small waterfall close by.wav,"Rain next to open window, dog barks in the distance.wav"
-Footsteps of a  person walking fast and breathing heavy.,running_forest_snow.wav,Walking on Wood Floor.wav,footsteps-gravel-birds.wav,Footsteps Dirt 02.wav,footsteps in woods.wav,Footsteps on Wood floor 1.wav,FootstepsOnaDock.wav,20060129.scrub.04.wav,24 hn_footstepsSneakerConcreteSnow.wav,nia walking.wav
-One knife is scratch from one side to other side.,md1trk13.wav,Zipper sounds.wav,stretch .wav,Chopping of vegetables and fruit - knife on cutting board.wav,Remulada.wav,Mascara.wav,150209 Trevor Webb Teeth Brushing.wav,erasing 1.wav,tile-scrape-flange1.wav,Paper_Tear_Fx.wav
-"Rumbling static, crackling noises, brief whooping of a siren.",plastic foil (outdoor recording).wav,bright_wind.wav,crossing bells.wav,leaves_on_the_wind.wav,stereo noise experiment 130820.wav,AMB_traffic_night_distant_02.wav,Very loud thunder clap.wav,5. Apartment ambience inside room.wav,windy day indoors windows rattle.wav,HARDWARE STORE ROOMTONE.wav
-A person whistles whilst walking among a crowd of people indoors.,steps in the station.wav,20091217.20.pedestrians.wav,UoA_Kcq_voices2_120224.wav,maastricht town sounds.wav,Covent_Garden_rain_5.wav,noise pollution in a city park.wav,UoA_PJ120202_HighStAlleyEch.wav,In_a_que01.wav,shopper_atmos.wav,platform.wav
-"Birds are chirping, a babbling brook is running and bees are buzzing.",Birds and insects in the wetlands of Melissant.wav,Rain And Birds Chirping Krucifix Productions Sound Effects.wav,Sk310308 chaffinch crow.wav,20070628.casual.ambiance.wav,The Commons.wav,20060607.bird.gone.nuts.wav,Waterflow_Ib.wav,Ambient noise Kauai.wav,In an English Suburban Garden.wav,pineforest winter NL SHORT 130110_00.wav
-An electric instrument makes multiple patterned clicking sequences.,cigarette_lighter.wav,Microwave1.wav,Mascara.wav,Kitchen Roomtone w_Dripping Faucet_1-2.wav,Analog Wall Clock.wav,Squeaking of door handle and rumbling of door.wav,Gun_Being_Loaded.wav,Fan noise.wav,CR SharktoGnawAmb.wav,Coffee Machine - Brew 1.wav
-A vehicle is passing by while playing loud music.,tata_hungary__ady_endre_road_20080718.wav,traffic at green light.wav,street.wav,traffic_night_street.wav,Boulevard with motorbike.wav,Diesel truck and small car.wav,Neighbourhood Ambiance.wav,110719_glasgowdemolish.wav,Japan_Yukinoura_Bamboo_Forest_and_Road_.wav,times_square.wav
-"A vehicle's engine hums as it comes to a stop, and then it begins to speed up.",Engine Reving.wav,Diesel truck and small car.wav,110719_glasgowdemolish.wav,WM_drain_pre_spin_cycle_24_96_mono.wav,City Street.wav,Crossroads with traffic lights #1.wav,office.refrigerator.wav,car moving 01.wav,bath room fan.wav,CarStart Idle Rev.wav
-"A television set gives off the crackles, pops, and hisses of static.",Electromagnetic Waves on a Macbook Pro.wav,stereo noise experiment 130820.wav,Dry Erase.wav,03480 static white noise.wav,bitmapnoise3.wav,Fuse.wav,indoors WC bathroom ambient room tone.wav,08-Bakken_RacingCars.wav,Water on Coal.wav,balloonburner.wav
-"A sink is turned on, and water flows down the drain.",bathroomSink1.wav,Taps in the Bath.wav,tub faucet and drain.wav,shower short.wav,Water_Falling_Bathtub_Drain.wav,sink1.wav,Shower Turn on - Turn off.wav,gootsteen.wav,Peeing into toilet.wav,Tap Water Open.wav
-Trying to restart a vacuuming machine twice the machine almost starting.,faucet2.wav,JM_MACHINE_Coffee Machine 01 - Office.wav,sd_coffee3.wav,Electromagnetic Waves on a Macbook Pro.wav,25_MIXER.wav,Construction Work 1 - 44.1kHz16Bit - Measurement Mirophone - Mono - TASCAM_DR40 - normalized - fade in and fade out low-3.wav,electric screwdriver_ST.wav,newport-hotel-blow-drier.wav,kitchen refrigerator working.wav,Stove Full.wav
-"Cars and trucks speed by along a highway, including a police car with its siren on.",traffic_night_street.wav,german motorway or the autobahn.wav,tata_hungary__ady_endre_road_20080718.wav,"Sredniy Nikolopeskovsky lane, evening ambiance.wav",Highway Traffic_1-2.wav,street.wav,Japan_Yukinoura_Bamboo_Forest_and_Road_.wav,traffic at green light.wav,stoplight.wav,Diesel truck and small car.wav
-"A man is talking as seagulls squawk, birds chirp and a bell rings.",sparrows_berlin.wav,swifts 2.wav,vendedor_ambulante.wav,Small italian village - Quite afternoon.wav,Ambient noise Kauai.wav,AMB_CityPark_Day_Seagull_People.wav,Neighbourhood Ambiance.wav,ambient_sound.wav,09-07-15_2053_Small place near metro station Faria Guimaraes in the evening.wav,Morning Ambience city.wav
-people are waiting for the cars to stop on a busy road to cross.,Ambience - Quiet Train.wav,20100806.stockholm.street.ambiance.wav,Place Pigalle ambience Paris.wav,BangkokMarket.wav,Street scene in Bangkok.wav,130916 General Paz y Panamericana.wav,erilee_tram_over_bridge.wav,Crossroads with traffic lights #1.wav,bike race 05.wav,noise pollution in a city park.wav
-a crowd of people in a space with overlapping conversation.,Cafe 1.wav,BigCrowdBigHall.wav,Ambience outside a series of restaurants.wav,In_a_que01.wav,110420-001_openair_cafe_karlsruhe_Schlosscafe.wav,Carmel Market.wav,20091217.20.pedestrians.wav,Public Place.wav,UoA_Kcq_voices2_120224.wav,20100806.stockholm.street.ambiance.wav
-Continues bell ringing for a long time making low and high pitch.,templebell.wav,crossing bells.wav,Carillon Servaas Church 100411.wav,Bell7.wav,church bell_ljubljana.wav,Bell Ring.R.wav,bikebell.wav,metal-bowl-long-decay.wav,Lisbon&#39;s church.wav,20060730.bells.wav
-Rain is hitting a roof and its surrounding.,"Wind in a tree, close to the foliage.wav",RainFallsonUmbrellaMcCoy.wav,Heavy wind and rain.wav,RainFallsThruTinGutterMcCoy.wav,Rain 02 091012.wav,13_Rain_onGrassStone_Gutter_44_16.wav,Fountain at place pigale - Paris - France.wav,"Rain next to open window, dog barks in the distance.wav",rainy alleyway.wav,leaves_on_the_wind.wav
-Water is dripping constantly as a person makes stomps with their feet.,gotes mig.wav,gotes lent.wav,Washing and scrubbing.wav,WaterRunning.wav,lavar platos.wav,Water plopping in pulling out small object.wav,Ambient washing dishes.wav,"Water - Leak, small.wav",WATER DRIP 2 ECHO LOW PITCH.wav,Dribbling water Edited.wav
-"Water is flowing steadily, smoothly and  constantly downstream.",20130825-Water-fountain-Slavonice.wav,WS RunningWater.wav,Water on tarp 2.wav,burton_waterfall_02.wav,river_small_close_01.wav,White Water.wav,131227_strumyk_2.wav,creekclose.wav,Running water 20121021T2335.wav,creek_tyrol_austria.wav
-A screw being tightened in place until it cant be tightened.,Squeaky Windshield Wipers.wav,Remulada.wav,stretch .wav,md1trk13.wav,zippers02.wav,tile-scrape-flange1.wav,Stanley Knife Scraping Macbook.wav,Old metal pail.wav,150209 Trevor Webb Teeth Brushing.wav,stones on thin ice.wav
-"A man speaks, a muffled crowd in the background.",gaunermarkt_werbung.wav,Cafe 1.wav,110420-001_openair_cafe_karlsruhe_Schlosscafe.wav,Ambience outside a series of restaurants.wav,BigCrowdBigHall.wav,In_a_que01.wav,Quiet Chat.wav,UoA_Kcq_voices2_120224.wav,Outside UU FSW 080701.wav,Bar atmosphere - Not So Busy.wav
-A bell is being tapped and chimes slowly.,templebell.wav,Wine glass hits.wav,Bell Ring.R.wav,metal-bowl-long-decay.wav,Pounding a metal stake with hammer v2.wav,cowbells1.wav,More china bowl.wav,bikebell.wav,20060729.lid.wav,Bell7.wav
-A person sharpening a knife faster and then slows towards the end.,Gun Cleaning.wav,tile-scrape-flange1.wav,md1trk13.wav,butter_toast_2x.wav,Filing Nail.wav,IRON_SLIDE.wav,sanding wallboard.wav,Metal coat hanger on steel hook.wav,Blinds being opened and closed quickly and slowly.wav,metallic_crackle.wav
-Bells from a church are ringing outside while cars drive by and birds chirp in the background.,004-Ambient Recording at Saint-Augustin (FR 7pm in October).wav,Neighbourhood Ambiance.wav,street.wav,The Commons.wav,Lisbon&#39;s church.wav,1167church_clock_striking_ten.wav,spider_monkeys.wav,tata_hungary__ady_endre_road_20080718.wav,Morning Ambience city.wav,City Traffic (Outdoor).wav
-Water is being poured/fetched from a container.,gootsteen.wav,gotes lent.wav,Water_bubbles_stereo_StereoPiezo_44_24.wav,"Water - Leak, small.wav",ambient bubbling liquid.wav,drainage pipe running.wav,gotes mig.wav,bathroomSink1.wav,WATER DRIP 2 ECHO LOW PITCH.wav,Rain_Patter_01.wav
-A man take a sip of liquid food.,Remulada.wav,drainage pipe running.wav,stretch .wav,20060129.scrub.04.wav,AlexandreJourdan_2013_s2.wav,icesplashes3.wav,Splashing in water.wav,Running water 20121021T2335.wav,Espresso Machine.wav,Chewing_Fx.wav
-Cars are driving by a busy road outside.,traffic_night_street.wav,traffic at green light.wav,tata_hungary__ady_endre_road_20080718.wav,Japan_Yukinoura_Bamboo_Forest_and_Road_.wav,german motorway or the autobahn.wav,Highway Traffic_1-2.wav,Diesel truck and small car.wav,street.wav,Boulevard with motorbike.wav,Crossroads with traffic lights #1.wav
-Crickets chirping loudly with faint bird chirping in the background.,AugustNightInCornField.wav,20060804.marshes.cricket02.wav,Cicada 1.wav,Crickets Night 2.wav,Cricket2.wav,August night.wav,20060426.marsh.crikets.bee-eaters.stereo.wav,high park crickets.3.wav,Night in nature 2.wav,"Insects in the herbs of the plain, thunders in background.wav"
-A lawnmower is running loudly then gets slightly softer.,engine boat passing by.wav,TAMPER_0332.wav,Engine Reving.wav,ATV foley &amp; drive in woods - Reverberant [ST].wav,20091217.05.street.cleaning.wav,WM_drain_pre_spin_cycle_24_96_mono.wav,Diesel train arrives and departs 1.wav,motors-moteurs.wav,arrancada i aturada de la moto.wav,refrigerator buzzing.wav
-Water sprays onto an object and runs along the ground in rivulets.,Dry Erase.wav,Scraping of a Carpet with a Brush.wav,Water on Coal.wav,BodyDrag2.wav,Fuse.wav,Brushing Hair.wav,Melon Stabs (Juicy).wav,md1trk18.wav,3 persons walking slowly on grass noisy ambient 2.wav,vacuuming upholstery.wav
-"A person walks to a car, opens the door, starts the car and drives away while the alarm dings.",Footsteps on Wood floor 1.wav,Getting Into Car and Driving Away.wav,road_spikes.wav,Coming into a hospital in saturday.wav,entering1.wav,110719_glasgowdemolish.wav,istanbul tram.wav,20091226.soft.door.wav,elevator 001.wav,bike race 05.wav
-Some plastic cases being opened and snapped off from it.,150209 Trevor Webb Snooker.wav,echo_ljubljana_castle.wav,DVD Cases.wav,metallic scratches an rubs.wav,Twist Off Bottle Cap.wav,Briefcase Open &amp; Close 2.wav,abandoned-ballroom-objects-wood-metal.wav,hits_bathroomStomp.wav,fist bang 2.wav,160170_Gravel_OWI.wav
-"Someone unlocks a car, goes through its door and adjusts its controls.",Elevator Ride and Door Open Merchants Bldg.wav,Opening and Closing an old Glass Door.wav,closing washing machine.wav,FX_Closing Sqeezing Wooden Door.wav,Coming into a hospital in saturday.wav,Getting Into Car and Driving Away.wav,Auto_Door_Open_Close.wav,Squeaking of door handle and rumbling of door.wav,"HOUSEHOLD-FRIDGE-Whirlpool-brand fridge cooling, opening and closing fridge door_001.wav",fist bang 2.wav
-Someone is making crackling sounds that repeat at intervals.,Plastic bag crumple.wav,Pills02.wav,Popcorn Foley.wav,Remulada.wav,160170_Gravel_OWI.wav,AlexandreJourdan_2013_s2.wav,Fire crackling.wav,stretch .wav,WaterDrops.wav,envelope.wav
-"People are talking in the background while someone is walking, making a noise.",20091217.20.pedestrians.wav,maastricht town sounds.wav,In_a_que01.wav,UoA_Kcq_voices2_120224.wav,SR005F.wav,BigCrowdBigHall.wav,UoA_PJ120202_HighStAlleyEch.wav,noise pollution in a city park.wav,Ambience outside a series of restaurants.wav,steps in the station.wav
-knife cutting on top of a wooden board.,Chains Being Rolled Up.wav,md3trk14.wav,Hangers Moving.wav,Metal coat hanger on steel hook.wav,butter_toast_2x.wav,Tool Box.wav,metallic scratches an rubs.wav,object falls on wood.wav,Setting Class on Table_02-01.wav,settingdownglassbottle.wav
-An acoustic guitar is being strummed persistently at the same pace.,abandoned-ballroom-objects-wood-metal.wav,safe deposit box lock-unlock.wav,Squeaking of door handle and rumbling of door.wav,water jugs.wav,Microwave1.wav,Gas Door.wav,Door in SPB-045.wav,Stiff Metal Wire.wav,gotes mig.wav,kettle-watergong3.wav
-The wind is hollowing inside a long empty tube.,Mouth Wind Howling.wav,Wailing Wind.wav,windy day indoors windows rattle.wav,"wind, basement, dripping water.wav",natural_wind.wav,AMB_traffic_night_distant_02.wav,Ambience of the battle field2.wav,Waves near the dock.wav,Neighborhood Ambiance.wav,Desert at Night.wav
-A number of wind chimes are blowing in the wind hitting upon themselves.,cowbells1.wav,1_ambiente inicio.wav,crossing bells.wav,templebell.wav,MetroTrain.wav,20110823_mountain.01.wav,church_bell_song.wav,bright_wind.wav,Key Jingling.wav,copper-chimes.wav
-A couple of different kinds of birds are chirping at different volume levels.,Sk310308 chaffinch crow.wav,ambient_sound.wav,Spring Birds in Finnish forest.wav,Ambient noise Kauai.wav,20060607.bird.gone.nuts.wav,In an English Suburban Garden.wav,Birds and Nature.wav,nightbird.wav,Birds_Singing.wav,Birds of Noosa Biosphere Reserve.wav
-A metal object is being pounded on several times to make music.,Bell from large rabbit plush.wav,IRON_SLIDE.wav,abandoned-ballroom-objects-wood-metal.wav,safe deposit box lock-unlock.wav,Ambience_hurricane tube_low freq.wav,Glasses Kitchen_IO.wav,04122 metallic cinematic hits.wav,contact_mic_on_satellite_dish09.wav,CR SharktoGnawAmb.wav,Door in SPB-045.wav
-Static is being emitted with intermittent strength with various beeping occurring.,bright_wind.wav,Electromagnetic Waves on a Macbook Pro.wav,crossing bells.wav,5. Apartment ambience inside room.wav,Desert at Night.wav,20110823_mountain.01.wav,Voktebef_I&#39;m not sure if I&#39;m here.wav,AMB_traffic_night_distant_02.wav,Ambience_Outdoor_Wind_Birds.wav,Waves near the dock.wav
-An object is repeatedly bouncing off of a metal surface.,Squeaking of door handle and rumbling of door.wav,Metal coat hanger on steel hook.wav,kitchen indoor atmosphere.wav,abandoned-ballroom-objects-wood-metal.wav,closing washing machine.wav,CR SharktoGnawAmb.wav,Metal_Tin_Hit_bang.wav,door walking exit.wav,150209 Trevor Webb Snooker.wav,pukanie1.wav
-"Birds are whistling while crickets are chirping, a snake rustles in the grass.",Tokyo-cicadas.wav,20060426.marsh.crikets.bee-eaters.stereo.wav,screech_owl.wav,Night in nature 2.wav,"Insects in the herbs of the plain, thunders in background.wav",high park crickets.3.wav,20070628.casual.ambiance.wav,Cricket2.wav,AugustNightInCornField.wav,Cicada.1.45.wav
-Birds chirp and sing while something rattles and vibrates loudly.,spider_monkeys.wav,The Commons.wav,Helicopter and crows passing overhead.wav,Birds and Nature.wav,Cicada.1.45.wav,Neighbourhood Ambiance.wav,ambient_sound.wav,An English Country Garden in July.wav,Cricket2.wav,pineforest winter NL SHORT 130110_00.wav
-A train whistles slowly and then loudly as time goes on.,kamakura_train.wav,screech_owl.wav,Moscow metro journey.wav,ShortTrain.wav,TREIN3.wav,vertrek.wav,subway train.L.wav,WasherEndWashCycleStartSpinCycle.wav,treinREM2.wav,NY 176andSt.Nicholas AMB.wav
-Water is flowing on tap and washing is also have in there.,Water_Falling_Bathtub_Drain.wav,20130825-Water-fountain-Slavonice.wav,gully with water drips.wav,shower short.wav,bathroomSink1.wav,WATER SHOWER 001.wav,Stream Under Rocks.wav,Taps in the Bath.wav,Peeing into toilet.wav,sink1.wav
-A person walks through dried leaves while the wind whistles and howls.,dog howl in woods.wav,screech_owl.wav,Urban owl hoot.wav,Desert at Night.wav,footsteps in woods.wav,bebops_wind2.wav,PJcalls2.wav,3 persons walking slowly on grass noisy ambient 2.wav,pineforest winter NL SHORT 130110_00.wav,outdoors ambient distant village 2.wav
-Drum beats keep time and change in tone.,Short circuit.wav,Sound_FX_dishmachine_digital.wav,Hammering on Anvil.wav,Metal_Tin_Hit_bang.wav,clang_metal_(hit).wav,telefono_en_espera.wav,Door pounding - increasing intensity.wav,Pounding a metal stake with hammer v2.wav,Spooky Atmosphere.wav,metal-bowl-long-decay.wav
-A person walks over gravel at a steady and calm pace.,20060129.scrub.04.wav,gravel walking.wav,20060510.walk.scrub.wav,Footsteps Dirt 02.wav,footsteps in woods.wav,Splashing in water.wav,fly 1 sands_05.wav,plastic foil (outdoor recording).wav,the sound of melting snow on the path high in the mountains - front.wav,footsteps-gravel-birds.wav
-"Cars pass by, growing louder as they get near, while a child speaks.",bike race 05.wav,Place Pigalle ambience Paris.wav,traffic at green light.wav,street.wav,Japan_Yukinoura_Bamboo_Forest_and_Road_.wav,Oxford Cambridge boat race 2010.wav,german motorway or the autobahn.wav,09-07-15_2053_Small place near metro station Faria Guimaraes in the evening.wav,City Traffic (Outdoor).wav,tata_hungary__ady_endre_road_20080718.wav
-"Someone used a shovel to push snow, dirt or sand along the ground.",plastic foil (outdoor recording).wav,3 persons walking slowly on grass noisy ambient 2.wav,20060510.walk.scrub.wav,footsteps_pebble_each_01.wav,md1trk18.wav,HeavySkirtMovement.wav,20060129.scrub.04.wav,footsteps in woods.wav,footsteps-gravel-birds.wav,Footsteps on Crunchy Snow.wav
-Many birds are screaming together in one place.,AMB_CityPark_Day_Seagull_People.wav,Ambient noise Kauai.wav,crows and owl.wav,20070628.casual.ambiance.wav,grilla_garden_ambience.wav,single bird.wav,20080321.warbler.n.dogs.wav,sparrows_berlin.wav,Budgies Chirping 2.wav,Birds and Nature.wav
-Cattle moo and sheep make baa sounds in a meadow as birds fly overhead and sit in trees.,sheep calling her baby lambs.wav,20080302.sheeps.close.wav,Sheep bleating.wav,Buzzbees.wav,"Bumblebees in garden, calm wind, crickets in background 1,21min.wav",soundscape forest.wav,redbarn_feeding-horses.wav,bumble bee web.wav,Yellow Throated Honeyeater.wav,An English Country Garden in July.wav
-The wind whips as an airplane flies by in the distance.,german motorway or the autobahn.wav,Waves near the dock.wav,AMB_traffic_night_distant_02.wav,Ambience of the battle field2.wav,CP_Whipping_Wind_Storm_Medium01.wav,Neighborhood Ambiance.wav,5_Navy-Blue-Angels-jets_CLIP.wav,Car Pass and Horse Twang - CherryGardens.wav,synthwind.wav,FastCarAmb.wav
-"The motor gets louder then quieter, has a piece of paper flutters by.",office.refrigerator.wav,City House Ambience.wav,graveylargo.wav,jetengines.wav,ambiant hangar sound.wav,Neighborhood Ambiance.wav,WM_drain_pre_spin_cycle_24_96_mono.wav,ambience winter train station outdoor quiet distant construction.wav,City Street.wav,washing_machine_beginning.wav
-Objects are being dropped into a container periodically.,Glasses Kitchen_IO.wav,bruits.chute.petite.urne.gravillons.wav,Rustling keys.wav,Bell from large rabbit plush.wav,Tool Box.wav,object falls on wood.wav,Dropping and Putting Down of Keys.wav,Key Jingling.wav,metallic_crackle.wav,Wine glass hits.wav
-They people waking to the ground and background steps.,maastricht town sounds.wav,dog howl in woods.wav,steps in the station.wav,Covent_Garden_rain_5.wav,UoA_PJ120202_HighStAlleyEch.wav,noise pollution in a city park.wav,3 persons walking slowly on grass noisy ambient 2.wav,horse in woods 130213_00.wav,20091217.20.pedestrians.wav,footsteps-gravel-birds.wav
-Tap water is pouring into a water-filled sink.,sink1.wav,shower short.wav,Tap Water Open.wav,bathroom_water_tap_on_fill_off_drain_24_96_stereo.wav,Sink running-drain.wav,Taps in the Bath.wav,tub faucet and drain.wav,Peeing into toilet.wav,bathroomSink1.wav,Sink_on_off.wav
-A subway departs a station while birds are chirping followed by men chatting and walking.,istanbul tram.wav,UoA_Kcq_voices2_120224.wav,Neighbourhood Ambiance.wav,Ambience outside a series of restaurants.wav,Small italian village - Quite afternoon.wav,indoors house ambient living room tone distant neighbours and traffic.wav,tube_arriving.wav,AMB_Ext_Residential_Day_Stereo_002.wav,noise pollution in a city park.wav,Moscow metro journey.wav
-A variety of birds chirping one after the other.,ambient_sound.wav,Birds and Nature.wav,spider_monkeys.wav,nightbird.wav,Birds of Noosa Biosphere Reserve.wav,Birds_Singing.wav,In an English Suburban Garden.wav,20060607.bird.gone.nuts.wav,Spring Birds in Finnish forest.wav,screech_owl.wav
-A machine is whirring constantly as people chat.,Apartment Ambiance 2.wav,PS3F_FOZ_centro_Mufato_anuncio2_tarde.wav,RomaBenzinaioGas_viaPomonte.wav,Tea Garden Outside Ambience.wav,Grocery Shop Atmos.wav,0129 Big_shop.wav,traffic from inside an apartment.wav,indoors ambient room tone 1.wav,InsideBus.wav,CafeAmbience.wav
-"A door is closed, keys are jingling while it is being locked.",20091226.soft.door.wav,entering1.wav,Key Jingling.wav,Coming into a hospital in saturday.wav,20091226.squeaky.door.wav,closingmyfrondoor.wav,Glasses Kitchen_IO.wav,Elevator Ride and Door Open Merchants Bldg.wav,Bell from large rabbit plush.wav,Footsteps on Wood floor 1.wav
-A person opens a cabinet as the water runs from the faucet in the background.,gotes mig.wav,sink1.wav,lavar platos.wav,shower short.wav,bathroom_water_tap_on_fill_off_drain_24_96_stereo.wav,gotes lent.wav,Taps in the Bath.wav,Sink_on_off.wav,Sink running-drain.wav,bathroomSink1.wav
-A large metal object falls down and makes a loud noise.,Ambience_hurricane tube_low freq.wav,lift_relais.wav,Hammering_Empty tank_large_CLOSE.wav,ambiant hangar sound.wav,jetengines.wav,Door in SPB-045.wav,windy day indoors windows rattle.wav,04122 metallic cinematic hits.wav,contact_mic_on_satellite_dish09.wav,CR SharktoGnawAmb.wav
-A door with squeaky hinges opens and closes then latches.,FX_Closing Sqeezing Wooden Door.wav,door_squeaky.wav,creaky-door-11.wav,Squeaky Windshield Wipers.wav,entering1.wav,Old metal pail.wav,door walking exit.wav,Opening and closing a big old door.wav,door sound.wav,big wooden door open close.wav
-Cars are driving by a busy street where people are talking and walking around.,Place Pigalle ambience Paris.wav,20100806.stockholm.street.ambiance.wav,BangkokMarket.wav,Ousman Ramble.wav,bike race 05.wav,aup.wav,traffic at green light.wav,UoA_Kcq_voices2_120224.wav,noise pollution in a city park.wav,140815_drezyna_2.wav
-A machine makes a bubbling and chirping noise as the rubber on it moves along.,Helicopter and crows passing overhead.wav,NY 176andSt.Nicholas AMB.wav,"wind, basement, dripping water.wav",Cricket2.wav,Cicada.1.45.wav,Espresso Machine.wav,City Street.wav,bath room fan.wav,pineforest winter NL SHORT 130110_00.wav,The Commons.wav
-A man speaks and scrapes a hard surface with a metallic scraper.,Gun Cleaning.wav,butter_toast_2x.wav,Scraping of a Carpet with a Brush.wav,md1trk13.wav,Zipper sounds.wav,Metal coat hanger on steel hook.wav,Blinds being opened and closed quickly and slowly.wav,RKeaton_EMF366_3_Water In Glass Bottle with Metal Cap.wav,Filing Nail.wav,foley noisy chair moving standing up different speed.wav
-"Baking foil is being squished by someone, while making a noise.",indoors ambient room tone 1.wav,cigarette_lighter.wav,PS3F_FOZ_centro_Mufato_carrinhos_tarde.wav,Polaroid Camera Shot.wav,InsideBus.wav,Match being lit.wav,traffic from inside an apartment.wav,fliping paper.wav,Mascara.wav,rainy alleyway.wav
-A gust of air is moving through a vent.,plastic foil (outdoor recording).wav,ambiant hangar sound.wav,german motorway or the autobahn.wav,City Street.wav,dumpster truck.wav,"Sredniy Nikolopeskovsky lane, evening ambiance.wav",Ambience_Outdoor_Wind_Birds.wav,psikedelic.wav,Engine Reving.wav,Japan_Yukinoura_Bamboo_Forest_and_Road_.wav
-Vacuuming the floor with some hard scrub with water and electricity.,water_sink.wav,"Running Water, various pressure.wav",Cricket2.wav,shower short.wav,dishwasher01.wav,WM_drain_pre_spin_cycle_24_96_mono.wav,indoors WC bathroom ambient room tone.wav,Espresso Machine.wav,JM_MACHINE_Coffee Machine 01 - Office.wav,Machine.wav
-Loud truck then people talking before a bang.,Traffic Karl-Liebknechtstrasse 111223.wav,130916 General Paz y Panamericana.wav,glassfordstreet.wav,balloonburner.wav,Oxford Cambridge boat race 2010.wav,Street scene in Bangkok.wav,Amusement Park.wav,Travers.wav,02-BikeDemo_Chimes_Speak.wav,lift_relais.wav
-People are playing basketball or some other sport inside a gymnasium.,inside an old factory under recustruction.wav,20150712_underground.parking.wav,firenze_kids_churchyard.wav,steps in the station.wav,shopper_atmos.wav,echo_ljubljana_castle.wav,stenochscentre.wav,city town Havana afternoon balcony.wav,20091226.squeaky.door.wav,begin-metro-BCN.wav
-group of woman or girls sings well in some program.,wien_demo.wav,trolley car B.wav,Kurla local train station Mumbai (1).wav,Subway to Namba St. .wav,city park Tel Aviv.wav,vendedor_ambulante.wav,meeting singing on boat - galilee.wav,Binnenrotte market live 100309.wav,noise pollution in a city park.wav,Ambience outside a series of restaurants.wav
-An elevator is moving after the door closes.,Elevator Ride and Door Open Merchants Bldg.wav,Coming into a hospital in saturday.wav,closing washing machine.wav,entering1.wav,elevator 001.wav,Door in SPB-045.wav,lift_relais.wav,Footsteps on Wood floor 1.wav,20091226.soft.door.wav,big wooden door open close.wav
-"Cars are driving in the background, a train rattles as it passes by.",DH12_141Tram1.wav,vertrek.wav,110719_glasgowdemolish.wav,"Train Passing, Close, Left to Right, B.wav",Train Plan V 090627.wav,backhoes.wav,AMB_Ext_Residential_Day_Stereo_002.wav,istanbul tram.wav,TREIN3.wav,"Amtrak Crescent and Commuter Train, Left to Right.wav"
-Rain falls from a drain while a car passes by.,Fountain at place pigale - Paris - France.wav,Rain 02 091012.wav,StreamPTDMos.wav,inicio.wav,Heavy Rain tin roof.wav,"Rain next to open window, dog barks in the distance.wav",Heavy wind and rain.wav,creek_tyrol_austria.wav,thunderstorm_4.wav,Water on tarp 2.wav
-"A baby having a bath, splashing around whilst talking with someone.",stanley_and_reese_bath_03.wav,bathtub feet squeek with water splashes .wav,SuctionTool.wav,CFX-20130331-UK-DorsetHarbour04.wav,icesplashes3.wav,20110823_mountain.01.wav,rowing boat.wav,CFX-20130331-UK-DorsetHarbour02.wav,Oxford Cambridge boat race 2010.wav,08-Bakken_RacingCars.wav
-A  train is moving along on a track.,vertrek.wav,Moscow metro journey.wav,Train Plan V 090627.wav,TREIN3.wav,backhoes.wav,"Amtrak Crescent and Commuter Train, Left to Right.wav",110719_glasgowdemolish.wav,"Train Passing, Close, Left to Right, B.wav",kamakura_train.wav,istanbul tram.wav
-"Someone is typing continuously, extremely quickly, on a typewriter.",type writer.wav,fliping paper.wav,Kitchen Timer Ticking Long.wav,Polaroid Camera Shot.wav,cigarette_lighter.wav,Popcorn Foley.wav,wine_glasses_drying_bottom_up (miroslawski.net).wav,Pills02.wav,plants-watering.wav,Squeaking of door handle and rumbling of door.wav
-Pipes are banging intermittently with high pitched sounds.,Ambience_hurricane tube_low freq.wav,abandoned-ballroom-objects-wood-metal.wav,Door pounding - increasing intensity.wav,entering1.wav,Metal_Tin_Hit_bang.wav,Remove crashed glass.wav,Pounding a metal stake with hammer v2.wav,Hammering_Empty tank_large_CLOSE.wav,Door in SPB-045.wav,Bell from large rabbit plush.wav
-Some metals or papers rub against each other.,plants-watering.wav,entering shower moving curtain raffle raffling foley VARIOUS TAKES.wav,light.wav,bread_in_toaster.wav,Cutting paper.wav,Washing short hair.wav,PS3F_FOZ_centro_Mufato_carrinhos_tarde.wav,3 persons walking slowly on grass noisy ambient 2.wav,Scraping of a Carpet with a Brush.wav,Polaroid Camera Shot.wav
-One vehicle is moving very slowly and show more sound.,City Street.wav,german motorway or the autobahn.wav,Rural nightfall atmos.wav,tata_hungary__ady_endre_road_20080718.wav,NY 176andSt.Nicholas AMB.wav,Neighborhood Ambiance.wav,street.wav,atmo__wind_leaves_water_traffic.wav,Roof with fans.wav,110719_glasgowdemolish.wav
-A big breath is taken whilst travelling on a train.,Inside a train 2.wav,Wailing Wind.wav,Footsteps on Wood floor 1.wav,windy day indoors windows rattle.wav,jetengines.wav,Train Mill Hill v1.wav,HARDWARE STORE ROOMTONE.wav,NY 176andSt.Nicholas AMB.wav,indoors dorm dormitory ambient room tone closed window distant noises neighbours.wav,Broom brushing on mat.wav
-Thunder rumbles in the distance and grows closer as rain falls to the ground.,very strong thunder by fresco.wav,thunder_nl.wav,LightningCrash.wav,Rain falling and thunder clapping in a storm.wav,Torden og lynild 3.wav,20070610.thunder.wav,rain_villaverde1.wav,sw_thunder_03.wav,Thunder (Olympus LS-20M).wav,2016-10-06 Thunder Crack.wav
-A lot of different kinds of birds are chirping.,Birds and Nature.wav,ambient_sound.wav,Sk310308 chaffinch crow.wav,Ambient noise Kauai.wav,20060607.bird.gone.nuts.wav,In an English Suburban Garden.wav,The Commons.wav,spider_monkeys.wav,Spring Birds in Finnish forest.wav,nightbird.wav
-"An alarm clock ticks, the alarm rings, and it goes back to ticking.",Old alarm clock (ticking and ringing).wav,SmallCarriageClockTicking.wav,Analog Wall Clock.wav,Short circuit.wav,DeLisa Foley clicky robot talk 02.wav,telefono_en_espera.wav,satellite receiving busy signal.wav,Electric Stovetop.wav,disquetera3.wav,texting with i-phone.wav
-Motor runs faster to a longer phrase of time.,20091217.05.street.cleaning.wav,kitchen refrigerator working.wav,WM_drain_pre_spin_cycle_24_96_mono.wav,03480 static white noise.wav,Electromagnetic Waves on a Macbook Pro.wav,bath room fan.wav,JM_MACHINE_Coffee Machine 01 - Office.wav,014_House_Fan.wav,ambiant hangar sound.wav,faucet2.wav
-"A person is driving a car on the road through water, water is splattering.",waves and that helicopter.wav,CFX-20130331-UK-DorsetHarbour02.wav,Fountain at place pigale - Paris - France.wav,StreamPTDMos.wav,Rain 02 091012.wav,Rain_Patter_01.wav,atmo__wind_leaves_water_traffic.wav,Water on tarp 2.wav,WM_drain_pre_spin_cycle_24_96_mono.wav,Splashing in water.wav
-A packet of crisps/chips are being ate.,Melon Stabs (Juicy).wav,AlexandreJourdan_2013_s2.wav,envelope.wav,160170_Gravel_OWI.wav,Plastic bag crumple.wav,Footsteps on Crunchy Snow.wav,footsteps_pebble_each_01.wav,gravel walking.wav,Fire crackling.wav,pepper grinder.wav
-People talk with each other in a hallway.,Kurla local train station Mumbai (1).wav,16 coffee shop ambience.wav,Ambience outside a series of restaurants.wav,begin-metro-BCN.wav,people chatting background.wav,Kurla local train station Mumbai (2).wav,160718 HSN spanish fish market.wav,Portugese Fish Market.wav,BigCrowdBigHall.wav,city town Havana afternoon balcony.wav
-A person is ringing a bike bell to signalise other people to move.,Bell7.wav,bikebell.wav,telephone ring.wav,Bell Ring.R.wav,Inside Servaas Church 01 100411.wav,Bell from large rabbit plush.wav,templebell.wav,Bell 6inch away.wav,Lisbon&#39;s church.wav,20110823_mountain.01.wav
-Someone walking on leaves lightly then they talk before being cut off.,3 persons walking slowly on grass noisy ambient 2.wav,fly 1 sands_05.wav,20060510.walk.scrub.wav,footsteps in woods.wav,HeavySkirtMovement.wav,Footsteps on Crunchy Snow.wav,Covent_Garden_rain_5.wav,the sound of melting snow on the path high in the mountains - front.wav,footsteps-gravel-birds.wav,footsteps_pebble_each_01.wav
-A bird chirps while small bits are thrown into a watery metal bowl.,screech_owl.wav,Birds of Noosa Biosphere Reserve.wav,spider_monkeys.wav,ambient_sound.wav,Birds and Nature.wav,Budgies Chirping 2.wav,nightbird.wav,20070628.casual.ambiance.wav,tile-scrape-flange1.wav,Birds_Singing.wav
-Children talk and laugh while metal instruments are stroked and played in the background.,toy_tower.wav,16 coffee shop ambience.wav,begin-metro-BCN.wav,shopper_atmos.wav,people chatting background.wav,firenze_kids_churchyard.wav,Twee dozen aardbeien.wav,Mall Ambient.wav,PS3F_FOZ_centro_Mufato_anuncio2_tarde.wav,Busy Drug Store.wav
-An engine is running while birds chirp in the background.,Neighbourhood Ambiance.wav,The Commons.wav,Cicada.1.45.wav,street.wav,spider_monkeys.wav,Helicopter and crows passing overhead.wav,pineforest winter NL SHORT 130110_00.wav,Morning Ambience city.wav,Cricket2.wav,Japan_Yukinoura_Bamboo_Forest_and_Road_.wav
-A metal object is clanging against another object many times.,Ambience_hurricane tube_low freq.wav,abandoned-ballroom-objects-wood-metal.wav,3overtones.wav,clang_metal_(hit).wav,clunks_in_water.wav,Metal_Tin_Hit_bang.wav,object falls on wood.wav,Hammering on Anvil.wav,Hammering_Empty tank_large_CLOSE.wav,Wine glass hits.wav
-A hair dryer is turning on and off and with each time the blowing power is being increased.,departing_train.wav,Spooky Atmosphere.wav,faucet2.wav,electric screwdriver_ST.wav,newport-hotel-blow-drier.wav,kitchen refrigerator working.wav,breath003.wav,25_MIXER.wav,20091217.05.street.cleaning.wav,ambiant hangar sound.wav
-"Thunder crashes as a hard, heavy rain comes down.",very strong thunder by fresco.wav,Rain falling and thunder clapping in a storm.wav,thunder_nl.wav,LightningCrash.wav,20070610.thunder.wav,Torden og lynild 3.wav,rain_villaverde1.wav,Storm in the mountain forest of Parc regional des Cevennes_1.wav,sw_thunder_03.wav,thunderstorm_4.wav
-Wind blowing and and a ringing noise with someone breathing outside.,crossing bells.wav,Desert at Night.wav,Mouth Wind Howling.wav,screech_owl.wav,bright_wind.wav,Wailing Wind.wav,AMB_traffic_night_distant_02.wav,bebops_wind2.wav,1_ambiente inicio.wav,MetroTrain.wav
-People talking and a person speaking on an overhead system while trains are brakes are squeaky.,Ambience outside a series of restaurants.wav,160718 HSN spanish fish market.wav,BigCrowdBigHall.wav,shopper_atmos.wav,UoA_Kcq_voices2_120224.wav,tube_arriving.wav,Kurla local train station Mumbai (1).wav,110420-001_openair_cafe_karlsruhe_Schlosscafe.wav,Cityscape 02 100208.wav,istanbul tram.wav
-Bees are buzzing around while a water sprinkler goes off in the background.,bumble bee web.wav,Cicada.1.45.wav,soundscape forest.wav,HARDWARE STORE ROOMTONE.wav,high park crickets.3.wav,Cricket2.wav,"Bumblebees in garden, calm wind, crickets in background 1,21min.wav",Buzzbees.wav,AugustNightInCornField.wav,Tokyo-cicadas.wav
-Various different birds are chirping while someone is walking on a wooden deck.,spider_monkeys.wav,ambient_sound.wav,birdsambience.wav,footsteps-gravel-birds.wav,EnterGate.wav,AMB_CityPark_Day_Seagull_People.wav,pineforest winter NL SHORT 130110_00.wav,The Commons.wav,screech_owl.wav,20070424.footsteps.wav
-A man makes a baby laugh multiple times.,Asher.wav,stan_laughing_12292012.wav,lachen.wav,mau2.wav,Help Me.wav,grilla_garden_ambience.wav,city pond ducks yell.wav,Vocal Strain - Unprocessed.wav,cat_door.wav,Old metal pail.wav
-Someone is sweeping the floor while dragging the chairs to a side.,Scraping of a Carpet with a Brush.wav,Foley Man Collapsing.wav,Walking Downstairs.wav,entering shower moving curtain raffle raffling foley VARIOUS TAKES.wav,foley noisy chair moving standing up different speed.wav,Washing short hair.wav,Brushing Hair.wav,closing washing machine.wav,Clothing Rubbing Foley Sound.wav,3 persons walking slowly on grass noisy ambient 2.wav
-Water is dripping steadily and a door is shut.,gotes mig.wav,gotes lent.wav,dishwasher01.wav,sink1.wav,lavar platos.wav,Microwave1.wav,Ambient washing dishes.wav,Water plopping in pulling out small object.wav,WaterRunning.wav,Rain_Patter_01.wav
-Two people are quietly talking in the background.,UoA_Kcq_voices2_120224.wav,Ambience outside a series of restaurants.wav,In_a_que01.wav,Outside UU FSW 080701.wav,20091217.20.pedestrians.wav,SR005F.wav,BigCrowdBigHall.wav,noise pollution in a city park.wav,Kurla local train station Mumbai (1).wav,110420-001_openair_cafe_karlsruhe_Schlosscafe.wav
-"After a pause, a church bell starts ringing at a steady pace continuously.",Carillon Servaas Church 100411.wav,20101118.omnium.sanctorum.wav,church bell_ljubljana.wav,20060730.bells.wav,Lisbon&#39;s church.wav,Marble Church.wav,20090419.san.pedro.bells.wav,1167church_clock_striking_ten.wav,Inside Servaas Church 01 100411.wav,More Bells.wav
-A person is cutting a tree in his yard.,Blinds being opened and closed quickly and slowly.wav,rutting deer 2.wav,door walking exit.wav,echo_ljubljana_castle.wav,plastic foil (outdoor recording).wav,abandoned-ballroom-objects-wood-metal.wav,Mechanical office sharpener.wav,Construction Work 1 - 44.1kHz16Bit - Measurement Mirophone - Mono - TASCAM_DR40 - normalized - fade in and fade out low-3.wav,nxSample-158.wav,Drinking Water and refreshing sigh.wav
-One bird singing outside on a wind cold day.,spider_monkeys.wav,ambient_sound.wav,pineforest winter NL SHORT 130110_00.wav,outdoors ambient distant village 2.wav,Urban owl hoot.wav,Birds of Noosa Biosphere Reserve.wav,Desert at Night.wav,"Insects in the herbs of the plain, thunders in background.wav",Misc_bird_calls_ light_distant_traffic.wav,screech_owl.wav
-"A train is going by while honking the horn once, then the train starts to slow down.",Train Passing Grade Crossing.wav,ShortTrain.wav,train_coming_in.wav,kamakura_train.wav,23_train_jallandhar.wav,MetroTrain.wav,ship horn.wav,train11.wav,vertrek.wav,tram_night_crossroad_stop_go_02.wav
-The sounds are drum beats fast and some other instruments.,Heavy Trash Hit.wav,safe deposit box lock-unlock.wav,window rapping.wav,water jugs.wav,BERBER _SONG.wav,abandoned-ballroom-objects-wood-metal.wav,Stiff Metal Wire.wav,kettle-watergong3.wav,Metal_Tin_Hit_bang.wav,Ambience_hurricane tube_low freq.wav
-Metals drag on metal and generate ascending and descending tones.,openingdome.wav,Ambience_hurricane tube_low freq.wav,110719_glasgowdemolish.wav,Door in SPB-045.wav,Bell7.wav,contact_mic_on_satellite_dish09.wav,crossing bells.wav,Construction Work 1 - 44.1kHz16Bit - Measurement Mirophone - Mono - TASCAM_DR40 - normalized - fade in and fade out low-3.wav,MetroTrain.wav,Inside Servaas Church 01 100411.wav
-Electrical fault starts and triggers the fire alarm.,refrigerator buzzing.wav,PlanetaryAndXporterSingleLoop_STTOS_recreated.wav,JM_MACHINE_Coffee Machine 01 - Office.wav,Interference3.wav,crossing bells.wav,Whelen Piercer.wav,JM_NOIZ_Buzz 01 - Neon Light.wav,hillden.wav,bitmapnoise3.wav,Underground Parking Ambience.wav
-"A train speeds by honking its horn, after which birds are singing.",ship horn.wav,train_coming_in.wav,ShortTrain.wav,Train Passing Grade Crossing.wav,istanbul tram.wav,kamakura_train.wav,train11.wav,tram_night_crossroad_stop_go_02.wav,Moscow metro journey.wav,23_train_jallandhar.wav
-Water is flowing over rocks in an open stream.,WS RunningWater.wav,White Water.wav,131227_strumyk_2.wav,river_small_close_01.wav,burton_waterfall_02.wav,20130825-Water-fountain-Slavonice.wav,creek_tyrol_austria.wav,Running water 20121021T2335.wav,Water on tarp 2.wav,creekclose.wav
-Water flows and makes a babbling sound in a stream or brook.,creekclose.wav,river_small_close_01.wav,burton_waterfall_02.wav,WS RunningWater.wav,131227_strumyk_2.wav,Stream trickling with small waterfall close by.wav,20130825-Water-fountain-Slavonice.wav,Running water 20121021T2335.wav,kenrokuen.wav,Water on tarp 2.wav
-A movie projector is turned on and it runs continuously.,JM_MACHINE_Coffee Machine 01 - Office.wav,Espresso Machine.wav,Espresso.wav,washing_machine_beginning.wav,Stove Full.wav,sd_coffee3.wav,kitchen refrigerator working.wav,Coffee Machine - Brew 1.wav,ambiant hangar sound.wav,014_House_Fan.wav
-A loaded moving cart whose wheels have not been greened.,20091226.squeaky.door.wav,abandoned-ballroom-objects-wood-metal.wav,echo_ljubljana_castle.wav,strange sounding firework rocket explosions.wav,Remove crashed glass.wav,20150712_underground.parking.wav,steps in the station.wav,Construction Work 1 - 44.1kHz16Bit - Measurement Mirophone - Mono - TASCAM_DR40 - normalized - fade in and fade out low-3.wav,entering1.wav,Ambience_hurricane tube_low freq.wav
-A group of people are continuously talking to each other while some were laughing.,110420-001_openair_cafe_karlsruhe_Schlosscafe.wav,Cafe 1.wav,16 coffee shop ambience.wav,Public Place.wav,Ambience outside a series of restaurants.wav,BigCrowdBigHall.wav,Busy Dining Room Atmos.wav,Twee dozen aardbeien.wav,Binnenrotte market live 100309.wav,people chatting background.wav
-A large amount of water is going over a waterfall.,forestandocean.wav,Wasserfall 2.wav,Wind in trees-force8-night.wav,TONE pink noise  44.1 16bit.wav,White Water.wav,Stream 5 at Krka falls.wav,Heavy Rain tin roof.wav,Storm wind.wav,Ambience_Outdoor_Wind_Birds.wav,03480 static white noise.wav
-A man is grunting loudly whilst people talk and vehicles drive past.,20100806.stockholm.street.ambiance.wav,Oxford Cambridge boat race 2010.wav,F-1-race-cars-restart-1stLap-Turn11-DR081.wav,City Traffic (Outdoor).wav,BangkokMarket.wav,Place Pigalle ambience Paris.wav,Ousman Ramble.wav,02-BikeDemo_Chimes_Speak.wav,TC.Balcarce08..CarRevving.2.wav,motors-moteurs.wav
-A gong is struck and repeatedly hit with a stick.,Hammering_Empty tank_large_CLOSE.wav,THAI GONG3.wav,clunks_in_water.wav,Klangschale weich ff.wav,04122 metallic cinematic hits.wav,kettle-watergong3.wav,contact_mic_on_satellite_dish09.wav,Ambience_hurricane tube_low freq.wav,metal-bowl-long-decay.wav,Gong mf2.wav
-Violin is discordantly played while throat singing happens in the background.,church_bell_song.wav,1167church_clock_striking_ten.wav,Inside Servaas Church 01 100411.wav,Urban owl hoot.wav,vendedor_ambulante.wav,"wind, basement, dripping water.wav",Windermere Ferry Door Closing.wav,Desert at Night.wav,screech_owl.wav,thebit2.wav
-White noise keeps going on and does not change much as time goes by.,TONE pink noise  44.1 16bit.wav,Wasserfall 2.wav,5. Apartment ambience inside room.wav,Ambience_Outdoor_Wind_Birds.wav,03480 static white noise.wav,forestandocean.wav,Siberian Weather Front 5 PM 110304.wav,Rain And Birds Chirping Krucifix Productions Sound Effects.wav,Waves near the dock.wav,bright_wind.wav
-Someone is shouting in ghost voice to prank his friends.,people chatting background.wav,PS3F_FOZ_centro_Mufato_anuncio2_tarde.wav,Twee dozen aardbeien.wav,Inside Car Ambience Next to School More Quiet Version.wav,20110212_mercado.05.wav,16 coffee shop ambience.wav,Binnenrotte market live 100309.wav,dog howl in woods.wav,begin-metro-BCN.wav,Kurla local train station Mumbai (1).wav
-A machine is making a whirring noise that varies over time.,JM_MACHINE_Coffee Machine 01 - Office.wav,kitchen refrigerator working.wav,refrigerator buzzing.wav,JM_NOIZ_Buzz 01 - Neon Light.wav,Espresso Machine.wav,25_MIXER.wav,Interference3.wav,Coffee Machine - Brew 1.wav,Apartment Ambiance 2.wav,Electromagnetic Waves on a Macbook Pro.wav
-A  vehicle is passing through a forest road as birds chirp in the background.,street.wav,The Commons.wav,Japan_Yukinoura_Bamboo_Forest_and_Road_.wav,Neighbourhood Ambiance.wav,Car Pass and Horse Twang - CherryGardens.wav,AMB_Ext_Residential_Day_Stereo_002.wav,pineforest winter NL SHORT 130110_00.wav,tata_hungary__ady_endre_road_20080718.wav,Rural nightfall atmos.wav,spider_monkeys.wav
-Water is being poured into a large container.,gotes lent.wav,drainage pipe running.wav,gootsteen.wav,"Water - Leak, small.wav",gully with water drips.wav,Water_Falling_Bathtub_Drain.wav,20130825-Water-fountain-Slavonice.wav,WATER DRIP 2 ECHO LOW PITCH.wav,bathroomSink1.wav,WaterRunning.wav
-Bell rings then pauses before ringing a few more times then stops.,Bell7.wav,templebell.wav,bikebell.wav,Bell Ring.R.wav,Wine glass hits.wav,Doorsbell.wav,metal-bowl-long-decay.wav,Bell 6inch away.wav,3overtones.wav,Old alarm clock (ticking and ringing).wav
-A person is using a sharp object to scratch the surface.,Remulada.wav,stretch .wav,md1trk13.wav,Squeaky Windshield Wipers.wav,Zipper sounds.wav,erasing 1.wav,Chopping of vegetables and fruit - knife on cutting board.wav,150209 Trevor Webb Teeth Brushing.wav,Mascara.wav,Cutting paper.wav
-"Someone is singing while continuously playing a handheld drum,",water jugs.wav,"Call to Prayer, Old Dehli.wav",meeting singing on boat - galilee.wav,BERBER _SONG.wav,safe deposit box lock-unlock.wav,window rapping.wav,abandoned-ballroom-objects-wood-metal.wav,20091214.christmas.song.wav,trolley car B.wav,pukanie1.wav
-A toilet is being flushed with other bathroom oriented noise in the background.,Toilet Flush Krucifix Productions Sound Effects.wav,FLUSH .wav,Toilet 2.wav,dishwasher01.wav,indoors WC bathroom ambient room tone.wav,Shower Turn on - Turn off.wav,"Toilet flushing, water filling bowl.wav",Draining Kitchen Sink by Fajack.wav,sink1.wav,Plastic Rain Barrel short.wav
-Swiping machine on a floor that has an overstayed mat.,Electromagnetic Waves on a Macbook Pro.wav,014_House_Fan.wav,earthkiller background 1.wav,bitmapnoise3.wav,synthwind.wav,washing_machine_beginning.wav,Scraping of a Carpet with a Brush.wav,CR SharktoGnawAmb.wav,Filing Nail.wav,md1trk13.wav
-Raining in the forest and birds are singing in the background.,Rain And Birds Chirping Krucifix Productions Sound Effects.wav,The Commons.wav,20070628.casual.ambiance.wav,Birds and insects in the wetlands of Melissant.wav,Sk310308 chaffinch crow.wav,EXT Quiet Valley.wav,"Wind in a tree, close to the foliage.wav","Insects in the herbs of the plain, thunders in background.wav",pineforest winter NL SHORT 130110_00.wav,high park crickets.3.wav
-A steady stream of heavy traffic is going by.,forestandocean.wav,The Commons.wav,Ambience_Outdoor_Wind_Birds.wav,german motorway or the autobahn.wav,Wasserfall 2.wav,Wind in trees-force8-night.wav,Rain And Birds Chirping Krucifix Productions Sound Effects.wav,Heavy Rain tin roof.wav,creek_tyrol_austria.wav,Rain 02 091012.wav
-Water is flowing heavily on the road people are waling and the car is crossing the road.,forestandocean.wav,Rain 02 091012.wav,Oxford Cambridge boat race 2010.wav,20110823_mountain.01.wav,CFX-20130331-UK-DorsetHarbour02.wav,Fountain at place pigale - Paris - France.wav,Heavy Rain tin roof.wav,Wasserfall 2.wav,White Water.wav,Wind in trees-force8-night.wav
-"A water tap is opened and closed, and the water drains out while someone is drilling on the wall.",sink1.wav,Shower Turn on - Turn off.wav,shower short.wav,bathroom_water_tap_on_fill_off_drain_24_96_stereo.wav,bathroomSink1.wav,lavar platos.wav,Sink running-drain.wav,Tap Water Open.wav,Taps in the Bath.wav,gotes mig.wav
-Birds chirp quietly while a jet plane roars overhead.,20160610_fading.plane.forest.wav,Helicopter and crows passing overhead.wav,pineforest winter NL SHORT 130110_00.wav,070821_flsp_narrows.wav,Desert at Night.wav,street.wav,spider_monkeys.wav,ambient_sound.wav,"Insects in the herbs of the plain, thunders in background.wav",004-Ambient Recording at Saint-Augustin (FR 7pm in October).wav
-A plane is departing and then flies overhead.,5_Navy-Blue-Angels-jets_CLIP.wav,20160610_fading.plane.forest.wav,Tornado Left To  Right.wav,airliner_ascend.wav,2009-07-23_1554_Serralves Park Airplane flying by.wav,strange wind 03.wav,treinREM2.wav,graveylargo.wav,airshow_2.wav,Landing Jet 3.wav
-Trumpet playing a melody loudest in the band.,church_bell_song.wav,vendedor_ambulante.wav,Inside Servaas Church 01 100411.wav,popibuuns.wav,church organ 2.wav,after nine.wav,NEW INTRO FEB 2012 TDAR.wav,thebit2.wav,Welte Philharmonic Organ.wav,crossing bells.wav
-A bell is being rung and animals whistling occasionally as a bus comes by and honks then drives away.,istanbul tram.wav,Neighbourhood Ambiance.wav,stoplight.wav,screech_owl.wav,ship horn.wav,street.wav,Morning Ambience city.wav,110719_glasgowdemolish.wav,004-Ambient Recording at Saint-Augustin (FR 7pm in October).wav,tata_hungary__ady_endre_road_20080718.wav
-"A stopped truck is whirring, keys click as a door is opened and some people are talking in the background.",130916 General Paz y Panamericana.wav,traffic from inside an apartment.wav,City Street.wav,Ambience - Quiet Train.wav,Grocery Shop Atmos.wav,Street scene in Bangkok.wav,aup.wav,indoors house ambient living room tone distant neighbours and traffic.wav,Coming into a hospital in saturday.wav,Place Pigalle ambience Paris.wav
-"A toilet is flushed, water drains, and then someone pounds on a counter.",Draining Kitchen Sink by Fajack.wav,Shower Turn on - Turn off.wav,"Toilet flushing, water filling bowl.wav",Toilet 2.wav,Dropping water.wav,Plastic Rain Barrel long.wav,sink1.wav,Plastic Rain Barrel short.wav,FLUSH .wav,Toilet Flush Krucifix Productions Sound Effects.wav
-water splashes around as items are dropped in it.,Smoke.wav,icesplashes3.wav,Rain_Patter_01.wav,AlexandreJourdan_2013_s2.wav,20060129.scrub.04.wav,Waves at the edge of Bosphorus.wav,Splashing in water.wav,Dropping Coins into Water.wav,gravel walking.wav,drainage pipe running.wav
-Dishes are moved as an oven alarm sounds and someone walks.,Coming into a hospital in saturday.wav,entering1.wav,20091226.soft.door.wav,20091226.squeaky.door.wav,Footsteps on Wood floor 1.wav,indoors ambient room tone 1.wav,steps in the station.wav,closing washing machine.wav,raindrops on metal_police background.wav,big wooden door open close.wav
-A person is chewing some sort of food.,Through Slime.wav,Chewing_Fx.wav,drainage pipe running.wav,gravel walking.wav,cat food.wav,walking on lava.wav,WaterDrops.wav,20060129.scrub.04.wav,Dropping Coins into Water.wav,Fire crackling.wav
-Sounds as if keys are turning in a lock continuously.,WaterDrops.wav,cat food.wav,Through Slime.wav,Chewing_Fx.wav,ICE55.wav,drainage pipe running.wav,wine_glasses_drying_bottom_up (miroslawski.net).wav,Pecan nuts cracked open.wav,Splashing in water.wav,stones on thin ice.wav
-Busy traffic on a freeway and birds chirping.,Neighbourhood Ambiance.wav,The Commons.wav,09-07-15_2053_Small place near metro station Faria Guimaraes in the evening.wav,Morning Ambience city.wav,street.wav,tata_hungary__ady_endre_road_20080718.wav,Japan_Yukinoura_Bamboo_Forest_and_Road_.wav,Rural nightfall atmos.wav,stoplight.wav,spider_monkeys.wav
-Someone uses a scraper to remove coating from an object.,Blinds being opened and closed quickly and slowly.wav,Cutting paper.wav,plants-watering.wav,Filing Nail.wav,Chopping mushrooms vigorously.wav,150209 Trevor Webb Tire Squeeke.wav,Gun Cleaning.wav,Scraping of a Carpet with a Brush.wav,Dry Erase.wav,closing washing machine.wav
-"Rain is pouring down hard, a dog is barking in the background.","Rain next to open window, dog barks in the distance.wav",Fountain at place pigale - Paris - France.wav,Heavy wind and rain.wav,Rain 02 091012.wav,"Wind in a tree, close to the foliage.wav",WATER SHOWER 001.wav,RainFallsThruTinGutterMcCoy.wav,Heavy Rain tin roof.wav,inicio.wav,20070610.thunder.wav
-"A shower is turned on loudly before being shut off, and the remaining water goes down the drain.",Water_Falling_Bathtub_Drain.wav,shower short.wav,gully with water drips.wav,tub faucet and drain.wav,Taps in the Bath.wav,Tap Water Open.wav,bathroomSink1.wav,sink1.wav,Peeing into toilet.wav,WATER SHOWER 001.wav
-"A strong wind is blowing hard, and becomes louder.",natural_wind.wav,Waves near the dock.wav,Synthetic Thunderstorm.wav,windy day indoors windows rattle.wav,AMB_traffic_night_distant_02.wav,very strong thunder by fresco.wav,CP_Whipping_Wind_Storm_Medium01.wav,jetengines.wav,Neighborhood Ambiance.wav,Thunder Sounds Long.wav
-door knocking loudly and man responding to it.,door walking exit.wav,pukanie1.wav,fist bang 2.wav,entering1.wav,Opening and closing a big old door.wav,Opening Closing old oven.wav,Door pounding - increasing intensity.wav,CFX-20130329-UK-DorsetHouseDoors02.wav,FX_Closing Sqeezing Wooden Door.wav,door_squeaky.wav
-A dog barks and a truck goes by as birds call and insects drone.,Rural nightfall atmos.wav,street.wav,Helicopter and crows passing overhead.wav,Cicada.1.45.wav,pineforest winter NL SHORT 130110_00.wav,20160610_fading.plane.forest.wav,Neighbourhood Ambiance.wav,Cricket2.wav,outdoors ambient distant village 2.wav,The Commons.wav
-A baby crying starts slowly and the cry gets louder and intense.,Asher.wav,mau2.wav,stan_laughing_12292012.wav,grilla_garden_ambience.wav,Vocal Strain - Unprocessed.wav,Old metal pail.wav,disquetera3.wav,"Call to Prayer, Old Dehli.wav",cat_door.wav,single bird.wav
-An airplane is getting ready to land on a windy day.,german motorway or the autobahn.wav,ambience winter train station outdoor quiet distant construction.wav,room tone empty train station quiet.wav,AMB_traffic_night_distant_02.wav,Neighborhood Ambiance.wav,jetengines.wav,Underground Parking Ambience.wav,natural_wind.wav,windy day indoors windows rattle.wav,Ambience of the battle field2.wav
-Birds singing  on the trees joyfully on  windy day.,Rain And Birds Chirping Krucifix Productions Sound Effects.wav,Birds and insects in the wetlands of Melissant.wav,Sk310308 chaffinch crow.wav,20070628.casual.ambiance.wav,The Commons.wav,Desert at Night.wav,pineforest winter NL SHORT 130110_00.wav,spider_monkeys.wav,"Insects in the herbs of the plain, thunders in background.wav",In an English Suburban Garden.wav
-A vehicle moves with its engine running and machinery is running.,City Street.wav,Roof with fans.wav,WM_drain_pre_spin_cycle_24_96_mono.wav,NY 176andSt.Nicholas AMB.wav,Diesel truck and small car.wav,110719_glasgowdemolish.wav,office.refrigerator.wav,20091217.05.street.cleaning.wav,Engine Reving.wav,german motorway or the autobahn.wav
-Someone is throwing small stones at his neighbor's rooftop.,foley noisy chair moving standing up different speed.wav,stretch .wav,Foley Man Collapsing.wav,Footsteps on Wood floor 1.wav,Squeaking of door handle and rumbling of door.wav,Rolling Chair.wav,entering shower moving curtain raffle raffling foley VARIOUS TAKES.wav,door walking exit.wav,kitchen indoor atmosphere.wav,Glass crushed 1.wav
-three different persons being talking about three different topic in interval.,20100806.stockholm.street.ambiance.wav,In_a_que01.wav,maastricht town sounds.wav,market1.wav,korea_flohmarkt.wav,BigCrowdBigHall.wav,noise pollution in a city park.wav,110420-001_openair_cafe_karlsruhe_Schlosscafe.wav,20091217.20.pedestrians.wav,PS3F_FOZ_centro_Mufato_anuncio2_tarde.wav
-"The wind is blowing and whistling, the wind slows down as time goes on.",screech_owl.wav,Desert at Night.wav,Urban owl hoot.wav,Mouth Wind Howling.wav,AMB_traffic_night_distant_02.wav,outdoors ambient distant village 2.wav,CFX-20130331-UK-DorsetSeaCliff07.wav,bebops_wind2.wav,thunder without rain.wav,Wailing Wind.wav
-A person is playing a music instrument for a short time.,NEW INTRO FEB 2012 TDAR.wav,Voktebef_I&#39;m not sure if I&#39;m here.wav,Pad_1_w_melody.wav,radio_am_01.wav,church_bell_song.wav,popibuuns.wav,after nine.wav,thebit2.wav,IRON_SLIDE.wav,sweep phrase.wav
-A woman chants while birds chirp and a waterfall flows.,Rain And Birds Chirping Krucifix Productions Sound Effects.wav,forestandocean.wav,The Commons.wav,20070628.casual.ambiance.wav,Wasserfall 2.wav,Desert at Night.wav,Ambient noise Kauai.wav,Tokyo-cicadas.wav,Birds and insects in the wetlands of Melissant.wav,Stream trickling with small waterfall close by.wav
-A woman speaks on an announcement system while a person handles coins and others chatter in the background.,Kurla local train station Mumbai (1).wav,Kurla local train station Mumbai (2).wav,160718 HSN spanish fish market.wav,110420-001_openair_cafe_karlsruhe_Schlosscafe.wav,Ambience outside a series of restaurants.wav,In_a_que01.wav,shopper_atmos.wav,BigCrowdBigHall.wav,people chatting background.wav,Tea Garden Outside Ambience.wav
-A wooden object is hitting another object repeatedly at a slow pace.,hits_bathroomStomp.wav,RowanMagennis_160019_SD100_DeadBodyHitsWoodenFloor.wav,pukanie1.wav,Squeaking of door handle and rumbling of door.wav,fist bang 2.wav,door walking exit.wav,screenplayTheater__footsteps_leatherSoles-onWood.wav,abandoned-ballroom-objects-wood-metal.wav,DVD Cases.wav,Ball bouncing.wav
-"A man and woman talk as an engine hums, then stops, and then starts back.",24 may 2011.wav,trolley car B.wav,Subway to Namba St. .wav,Tea Garden Outside Ambience.wav,London Bus.wav,0129 Big_shop.wav,metro underground  ambient opening closing doors noisy transport catalan spanish barcelona.wav,130916 General Paz y Panamericana.wav,Train Luzern-Engelberg.wav,Ambience - Quiet Train.wav
-Doors are being opened and closed four times.,Opening Closing old oven.wav,fist bang 2.wav,closing washing machine.wav,entering1.wav,door walking exit.wav,big wooden door open close.wav,CFX-20130329-UK-DorsetHouseDoors02.wav,150209 Trevor Webb Snooker.wav,ouverture-contenair_1.wav,Opening and closing a big old door.wav
-An electric razor is being used on a person during the day.,JM_MACHINE_Coffee Machine 01 - Office.wav,Coffee Machine - Brew 1.wav,dremmel-noise2.wav,Hair Clippers 2.wav,kitchen refrigerator working.wav,Electromagnetic Waves on a Macbook Pro.wav,Espresso.wav,bumble bee web.wav,electric screwdriver_ST.wav,150209 Trevor Webb Tire Squeeke.wav
-Raindrops falling and bouncing off of a hard surface.,RainFallsThruTinGutterMcCoy.wav,13_Rain_onGrassStone_Gutter_44_16.wav,rainy alleyway.wav,20100110.rain.marshes.wav,WATER SHOWER 001.wav,RainFallsonUmbrellaMcCoy.wav,Rain_Patter_01.wav,"Wind in a tree, close to the foliage.wav",Heavy wind and rain.wav,WaterDrops.wav
-A continuous stream of water moving fairly quickly.,WS RunningWater.wav,burton_waterfall_02.wav,river_small_close_01.wav,Stream trickling with small waterfall close by.wav,131227_strumyk_2.wav,20130825-Water-fountain-Slavonice.wav,kenrokuen.wav,White Water.wav,creekclose.wav,Running water 20121021T2335.wav
-The sound in something is reduced from too much.,Electromagnetic Waves on a Macbook Pro.wav,bitmapnoise3.wav,STEREO INTERFERENCE.wav,03480 static white noise.wav,Squeaky Windshield Wipers.wav,windy day indoors windows rattle.wav,014_House_Fan.wav,bright_wind.wav,Paper_Shake.wav,stereo noise experiment 130820.wav
-People talks at a party as some are playing video games.,110420-001_openair_cafe_karlsruhe_Schlosscafe.wav,16 coffee shop ambience.wav,Ambience outside a series of restaurants.wav,Cafe 1.wav,160718 HSN spanish fish market.wav,people chatting background.wav,Busy Drug Store.wav,BigCrowdBigHall.wav,Carmel Market.wav,Twee dozen aardbeien.wav
-A dog barks and whines as some children talk.,harbour scene 2.wav,stray_dogs.wav,dog howl in woods.wav,Pug Woof 3.wav,Next To School in Street Ambience.wav,firenze_kids_churchyard.wav,Baby throwing sand all over the place.wav,outdoors ambient distant village 2.wav,toy_tower.wav,city park Tel Aviv.wav
-Splashing water running fast and hard suddenly turned off.,20130825-Water-fountain-Slavonice.wav,Running water 20121021T2335.wav,131227_strumyk_2.wav,WS RunningWater.wav,20130406_nasty.weather.09.wav,bathtub feet squeek with water splashes .wav,waves and that helicopter.wav,Water plopping in pulling out small object.wav,White Water.wav,burton_waterfall_02.wav
-Several small wooden objects are being tossed together.,150209 Trevor Webb Snooker.wav,kitchen indoor atmosphere.wav,metallic scratches an rubs.wav,abandoned-ballroom-objects-wood-metal.wav,Metal coat hanger on steel hook.wav,md3trk14.wav,Opening Closing old oven.wav,foley noisy chair moving standing up different speed.wav,Blinds being opened and closed quickly and slowly.wav,settingdownglassbottle.wav
diff --git a/src/training/main_.py b/src/training/main_.py
deleted file mode 100644
index bf52a50..0000000
--- a/src/training/main_.py
+++ /dev/null
@@ -1,583 +0,0 @@
-from inspect import getargs
-import logging
-import os
-import random
-from datetime import datetime
-import bisect
-import copy
-import numpy as np
-import torch
-import torch.backends.cudnn as cudnn
-from torch import optim
-from torch.cuda.amp import GradScaler
-
-try:
-    import wandb
-except ImportError:
-    wandb = None
-
-try:
-    import torch.utils.tensorboard as tensorboard
-except ImportError:
-    tensorboard = None
-
-try:
-    import horovod.torch as hvd
-except ImportError:
-    hvd = None
-
-from open_clip import create_model_and_transforms, trace_model, create_model
-from training.data import get_data
-from training.distributed import is_master, init_distributed_device, world_info_from_env
-from training.logger import setup_logging
-from training.params import parse_args
-from training.scheduler import cosine_lr
-from training.train import train_one_epoch, evaluate
-from open_clip.utils import get_tar_path_from_dataset_name, dataset_split
-
-
-def maintain_ckpts(args, startidx, all_idx_len):
-    for i in reversed(range(startidx, all_idx_len)):
-        if os.path.exists(os.path.join(args.checkpoint_path, f"epoch_top_{i}.pt")):
-            os.rename(
-                os.path.join(args.checkpoint_path, f"epoch_top_{i}.pt"),
-                os.path.join(args.checkpoint_path, f"epoch_top_{i+1}.pt"),
-            )
-    if os.path.exists(
-        os.path.join(args.checkpoint_path, f"epoch_top_{all_idx_len}.pt")
-    ):
-        os.remove(os.path.join(args.checkpoint_path, f"epoch_top_{all_idx_len}.pt"))
-    return
-
-
-def update_top_k_performance(
-    new_metrics_inputs, current_top_k_ckpt_metrics, args, ckpt, bignumbetter=True
-):
-    """
-    Record the top-k performance of the current epoch.
-    current_top_k_metrics is a dictionary of the form: {1: top_1_ckpt_measure, 2: top_2_ckpt_measure, ...}
-    """
-    if isinstance(new_metrics_inputs, (list, tuple)):
-        new_metrics_inputs = np.mean(new_metrics_inputs)
-        return update_top_k_performance(
-            new_metrics_inputs,
-            current_top_k_ckpt_metrics,
-            args=args,
-            ckpt=ckpt,
-            bignumbetter=bignumbetter,
-        )
-    elif isinstance(new_metrics_inputs, dict):
-        new_metrics_inputs = np.mean(list(new_metrics_inputs.values()))
-        return update_top_k_performance(
-            new_metrics_inputs,
-            current_top_k_ckpt_metrics,
-            args=args,
-            ckpt=ckpt,
-            bignumbetter=bignumbetter,
-        )
-    elif isinstance(new_metrics_inputs, (float, int)):
-        update_flag = {k: False for k in current_top_k_ckpt_metrics.keys()}
-        sorted_keys = sorted(current_top_k_ckpt_metrics.keys())
-        sorted_values = sorted(
-            current_top_k_ckpt_metrics.values(), reverse=bignumbetter
-        )
-        sorted_values_ = copy.deepcopy(sorted_values)
-        sorted_values.append(new_metrics_inputs)
-        sorted_values = sorted(sorted_values, reverse=bignumbetter)
-        sorted_values = sorted_values[:-1]
-
-        if sorted_values == sorted_values_:
-            return current_top_k_ckpt_metrics, new_metrics_inputs
-        else:
-            for i in range(len(sorted_keys)):
-                if current_top_k_ckpt_metrics[sorted_keys[i]] != sorted_values[i]:
-                    current_top_k_ckpt_metrics[sorted_keys[i]] = sorted_values[i]
-                    update_flag[sorted_keys[i]] = True
-            for i in range(len(update_flag)):
-                if update_flag[i]:
-                    maintain_ckpts(args, i, len(sorted_keys))
-                    torch.save(
-                        ckpt,
-                        os.path.join(args.checkpoint_path, f"epoch_top_{i}.pt"),
-                    )
-                    break
-            return current_top_k_ckpt_metrics, new_metrics_inputs
-
-
-# def updateifNone(a, b):
-#     a = b if None else a
-#     return a
-
-
-def is_pretrained_params(n):
-    return (
-        n.startswith("transformer")
-        or n in ["positional_embedding", "text_projection"]
-        or n.startswith("token_embedding")
-        or n.startswith("ln_final")
-        or n.startswith("logit_scale_t")
-    )
-
-
-def random_seed(seed=42, rank=0):
-    torch.manual_seed(seed + rank)
-    np.random.seed(seed + rank)
-    random.seed(seed + rank)
-
-
-def main():
-    args = parse_args()
-    # sanitize model name for filesystem / uri use, easier if we don't use / in name as a rule?
-    args.amodel = args.amodel.replace("/", "-")
-    # download sizes.json file
-    if args.remotedata:
-        for dataset_name in args.datasetnames:
-            for split in dataset_split[dataset_name]:
-                if not os.path.exists(f"./json_files/{dataset_name}/{split}"):
-                    os.makedirs(f"./json_files/{dataset_name}/{split}")
-                os.system(
-                    f"aws s3 cp s3://s-laion-audio/webdataset_tar/{dataset_name}/{split}/sizes.json ./json_files/{dataset_name}/{split}/sizes.json"
-                )
-
-    if args.datasetinfos is None:
-        args.datasetinfos = ["train", "unbalanced_train", "balanced_train"]
-    if args.dataset_type == "webdataset":
-        args.train_data = get_tar_path_from_dataset_name(
-            args.datasetnames,
-            args.datasetinfos,
-            islocal=not args.remotedata,
-            template=args.data_txt_example,
-            proportion=args.dataset_proportion,
-        )
-        args.val_data = get_tar_path_from_dataset_name(
-            args.datasetnames,
-            ["valid", "test", "eval"],
-            islocal=not args.remotedata,
-            template=args.data_txt_example,
-            proportion=1,
-        )
-        # args.val_data = get_tar_path_from_dataset_name(args.datasetnames, ["valid"], islocal=not args.remotedata, template=args.data_txt_example)
-    # get the name of the experiments
-    if args.name is None:
-        args.name = "-".join(
-            [
-                datetime.now().strftime("%Y_%m_%d-%H_%M_%S"),
-                f"model_{args.amodel}",
-                f"lr_{args.lr}",
-                f"b_{args.batch_size}",
-                f"j_{args.workers}",
-                f"p_{args.precision}",
-            ]
-        )
-
-    # discover initial world args early so we can log properly
-    args.distributed = False
-    args.local_rank, args.rank, args.world_size = world_info_from_env()
-
-    args.log_path = None
-    if is_master(args, local=args.log_local):
-        log_base_path = os.path.join(args.logs, args.name)
-        os.makedirs(log_base_path, exist_ok=True)
-        log_filename = f"out-{args.rank}" if args.log_local else "out.log"
-        args.log_path = os.path.join(log_base_path, log_filename)
-        if os.path.exists(args.log_path):
-            print(
-                "Error. Experiment already exists. Use --name {} to specify a new experiment."
-            )
-            return -1
-
-    # Set logger
-    args.log_level = logging.DEBUG if args.debug else logging.INFO
-    setup_logging(args.log_path, args.log_level)
-
-    # fully initialize distributed device environment
-    device = init_distributed_device(args)
-
-    args.wandb = "wandb" in args.report_to or "all" in args.report_to
-    args.tensorboard = "tensorboard" in args.report_to or "all" in args.report_to
-    if is_master(args):
-        args.tensorboard_path = (
-            os.path.join(args.logs, args.name, "tensorboard")
-            if args.tensorboard
-            else ""
-        )
-        args.checkpoint_path = os.path.join(args.logs, args.name, "checkpoints")
-        for dirname in [args.tensorboard_path, args.checkpoint_path]:
-            if dirname:
-                os.makedirs(dirname, exist_ok=True)
-    else:
-        args.tensorboard_path = ""
-        args.checkpoint_path = ""
-
-    if args.copy_codebase:
-        copy_codebase(args)
-
-    assert args.precision in ["amp", "fp16", "fp32"]
-    if args.precision == "fp16":
-        logging.warning(
-            "It is recommended to use AMP mixed-precision instead of FP16. "
-            "FP16 support needs further verification and tuning, especially for train."
-        )
-
-    if args.horovod:
-        logging.info(
-            f"Running in horovod mode with multiple processes / nodes. Device: {args.device}."
-            f"Process (global: {args.rank}, local {args.local_rank}), total {args.world_size}."
-        )
-    elif args.distributed:
-        logging.info(
-            f"Running in distributed mode with multiple processes. Device: {args.device}."
-            f"Process (global: {args.rank}, local {args.local_rank}), total {args.world_size}."
-        )
-    else:
-        logging.info(f"Running with a single process. Device {args.device}.")
-
-    # don't need the transform
-    # model, preprocess_train, preprocess_val = create_model_and_transforms(
-    #     args.amodel,
-    #     args.pretrained,
-    #     precision=args.precision,
-    #     device=device,
-    #     jit=args.torchscript,
-    #     force_quick_gelu=args.force_quick_gelu,
-    #     # pretrained_image=args.pretrained_image,
-    # )
-    model, model_cfg = create_model(
-        args.amodel,
-        args.pretrained,
-        precision=args.precision,
-        device=device,
-        jit=args.torchscript,
-        force_quick_gelu=args.force_quick_gelu,
-    )
-
-    if args.trace:
-        model = trace_model(model, batch_size=args.batch_size, device=device)
-
-    # Not work in audio
-    # if args.lock_image:
-    #     # lock image tower as per LiT - https://arxiv.org/abs/2111.07991
-    #     model.lock_image_tower(
-    #         unlocked_groups=args.lock_image_unlocked_groups,
-    #         freeze_bn_stats=args.lock_image_freeze_bn_stats)
-
-    if is_master(args):
-        logging.info("Model:")
-        logging.info(f"{str(model)}")
-        logging.info("Params:")
-        params_file = os.path.join(args.logs, args.name, "params.txt")
-        with open(params_file, "w") as f:
-            for name in sorted(vars(args)):
-                val = getattr(args, name)
-                logging.info(f"  {name}: {val}")
-                f.write(f"{name}: {val}\n")
-
-    if args.distributed and not args.horovod:
-        if args.use_bn_sync:
-            model = torch.nn.SyncBatchNorm.convert_sync_batchnorm(model)
-        ddp_args = {}
-        if args.ddp_static_graph:
-            # this doesn't exist in older PyTorch, arg only added if enabled
-            ddp_args["static_graph"] = True
-        model = torch.nn.parallel.DistributedDataParallel(
-            model, device_ids=[device], find_unused_parameters=True, **ddp_args
-        )
-
-    data = get_data(args, model_cfg)
-    assert len(data), "At least one train or eval dataset must be specified."
-    if args.trace:
-        assert "train" not in data, "Cannot train with traced model"
-
-    exclude = (
-        lambda n, p: p.ndim < 2
-        or "bn" in n
-        or "ln" in n
-        or "bias" in n
-        or "logit_scale" in n
-    )
-    include = lambda n, p: not exclude(n, p)
-
-    named_parameters = list(model.named_parameters())
-
-    # freeze text encoder
-    text_freeze_parameters = [
-        p
-        for n, p in named_parameters
-        if n.startswith("transformer")
-        or n in ["positional_embedding", "text_projection"]
-        or n.startswith("token_embedding")
-        or n.startswith("ln_final")
-    ]
-
-    if args.freeze_text:
-        print("Freeze Text!!!!")
-        for k in text_freeze_parameters:
-            k.requires_grad = False
-
-    gain_or_bias_params = [
-        p for n, p in named_parameters if exclude(n, p) and p.requires_grad
-    ]
-    rest_params = [p for n, p in named_parameters if include(n, p) and p.requires_grad]
-
-    if args.train_data is None:
-        optimizer = None
-        scheduler = None
-    else:
-        total_steps = data["train"].dataloader.num_batches * args.epochs
-
-        if args.split_opt:
-            for x in ["lr", "beta1", "beta2", "eps", "wd"]:
-                for y in ["_new", "_pretrained"]:
-                    if getattr(args, x + y) is None:
-                        setattr(args, x + y, getattr(args, x))
-
-            gain_or_bias_pretrained_params = [
-                p
-                for n, p in named_parameters
-                if (exclude(n, p) and p.requires_grad) and is_pretrained_params(n)
-            ]
-            rest_pretrained_params = [
-                p
-                for n, p in named_parameters
-                if (include(n, p) and p.requires_grad) and is_pretrained_params(n)
-            ]
-            gain_or_bias_new_params = [
-                p
-                for n, p in named_parameters
-                if (exclude(n, p) and p.requires_grad) and (not is_pretrained_params(n))
-            ]
-            rest_new_params = [
-                p
-                for n, p in named_parameters
-                if (include(n, p) and p.requires_grad) and (not is_pretrained_params(n))
-            ]
-
-            pretrained_params_optimizer = optim.AdamW(
-                [
-                    {"params": gain_or_bias_pretrained_params, "weight_decay": 0.0},
-                    {
-                        "params": rest_pretrained_params,
-                        "weight_decay": args.wd_pretrained,
-                    },
-                ],
-                lr=args.lr_pretrained,
-                betas=(args.beta1_pretrained, args.beta2_pretrained),
-                eps=args.eps_pretrained,
-            )
-            pretrained_params_scheduler = cosine_lr(
-                pretrained_params_optimizer,
-                args.lr_pretrained,
-                args.warmup,
-                total_steps,
-            )
-
-            new_params_optimizer = optim.AdamW(
-                [
-                    {"params": gain_or_bias_new_params, "weight_decay": 0.0},
-                    {"params": rest_new_params, "weight_decay": args.wd_new},
-                ],
-                lr=args.lr_new,
-                betas=(args.beta1_new, args.beta2_new),
-                eps=args.eps_new,
-            )
-            new_params_scheduler = cosine_lr(
-                new_params_optimizer, args.lr_new, args.warmup, total_steps
-            )
-
-            optimizer = {
-                "pretrained": pretrained_params_optimizer,
-                "new": new_params_optimizer,
-            }
-            scheduler = {
-                "pretrained": pretrained_params_scheduler,
-                "new": new_params_scheduler,
-            }
-
-            if args.horovod:
-                pretrained_params_optimizer = hvd.DistributedOptimizer(
-                    pretrained_params_optimizer,
-                    named_parameters=model.named_parameters(),
-                )
-                new_params_optimizer = hvd.DistributedOptimizer(
-                    new_params_optimizer, named_parameters=model.named_parameters()
-                )
-                hvd.broadcast_parameters(model.state_dict(), root_rank=0)
-                hvd.broadcast_optimizer_state(pretrained_params_optimizer, root_rank=0)
-                hvd.broadcast_optimizer_state(new_params_optimizer, root_rank=0)
-        else:
-            optimizer = optim.AdamW(
-                [
-                    {"params": gain_or_bias_params, "weight_decay": 0.0},
-                    {"params": rest_params, "weight_decay": args.wd},
-                ],
-                lr=args.lr,
-                betas=(args.beta1, args.beta2),
-                eps=args.eps,
-            )
-            scheduler = cosine_lr(optimizer, args.lr, args.warmup, total_steps)
-
-            if args.horovod:
-                optimizer = hvd.DistributedOptimizer(
-                    optimizer, named_parameters=model.named_parameters()
-                )
-                hvd.broadcast_parameters(model.state_dict(), root_rank=0)
-                hvd.broadcast_optimizer_state(optimizer, root_rank=0)
-
-    scaler = GradScaler() if args.precision == "amp" else None
-
-    # optionally resume from a checkpoint
-    start_epoch = 0
-    if args.resume is not None:
-        if os.path.isfile(args.resume):
-            checkpoint = torch.load(args.resume, map_location=device)
-            if "epoch" in checkpoint:
-                # resuming a train checkpoint w/ epoch and optimizer state
-                start_epoch = checkpoint["epoch"]
-                sd = checkpoint["state_dict"]
-                if not args.distributed and next(iter(sd.items()))[0].startswith(
-                    "module"
-                ):
-                    sd = {k[len("module.") :]: v for k, v in sd.items()}
-                model.load_state_dict(sd)
-                if args.split_opt:
-                    if optimizer is not None:
-                        for k, o_ in optimizer.items():
-                            o_.load_state_dict(checkpoint[k + "_" + "optimizer"])
-                if optimizer is not None:
-                    optimizer.load_state_dict(checkpoint["optimizer"])
-                if scaler is not None and "scaler" in checkpoint:
-                    scaler.load_state_dict(checkpoint["scaler"])
-                logging.info(
-                    f"=> resuming checkpoint '{args.resume}' (epoch {start_epoch})"
-                )
-            else:
-                # loading a bare (model only) checkpoint for fine-tune or evaluation
-                model.load_state_dict(checkpoint)
-                logging.info(
-                    f"=> loaded checkpoint '{args.resume}' (epoch {start_epoch})"
-                )
-        else:
-            logging.info("=> no checkpoint found at '{}'".format(args.resume))
-
-    cudnn.benchmark = True
-    cudnn.deterministic = False
-
-    # determine if this worker should save logs and checkpoints. only do so if it is rank == 0
-    args.save_logs = args.logs and args.logs.lower() != "none" and is_master(args)
-    writer = None
-    if args.save_logs and args.tensorboard:
-        assert tensorboard is not None, "Please install tensorboard."
-        writer = tensorboard.SummaryWriter(args.tensorboard_path)
-
-    if args.wandb and is_master(args):
-        assert wandb is not None, "Please install wandb."
-        logging.debug("Starting wandb.")
-        args.train_sz = data["train"].dataloader.num_samples
-        if args.val_data is not None:
-            args.val_sz = data["val"].dataloader.num_samples
-        # you will have to configure this for your project!
-        wandb.init(
-            project="clap",
-            notes=args.wandb_notes,
-            tags=[],
-            config=vars(args),
-        )
-        if args.debug:
-            wandb.watch(model, log="all")
-        wandb.save(params_file)
-        logging.debug("Finished loading wandb.")
-
-    # if "train" not in data:
-    #     evaluate(model, data, start_epoch, args, writer)
-    #     return
-    # elif start_epoch == 0 and "val" in data:
-    #     evaluate(model, data, 0, args, writer)
-    #     # pass
-    if args.save_top_performance:
-        current_top_k_ckpt_metrics = {
-            i: 0 for i in range(args.save_top_performance)
-        }  # initialize the top-k metric for ckpts to 0
-
-    for epoch in range(start_epoch, args.epochs):
-        # freeze the text param after (include) args.freeze_text_after, this is -1 by default
-        if epoch == args.freeze_text_after:
-            print("Text pretrained parameters are freezed since this epoch.")
-            for k in text_freeze_parameters:
-                k.requires_grad = False
-        if is_master(args):
-            logging.info(f"Start epoch {epoch}")
-
-        train_one_epoch(model, data, epoch, optimizer, scaler, scheduler, args, writer)
-        completed_epoch = epoch + 1
-
-        print("epoch", epoch)
-        # if any(v in data for v in ("val", "imagenet-val", "imagenet-v2")):
-        #     metrics = evaluate(model, data, completed_epoch, args, writer)
-        #     if args.save_top_performance:
-        #         filtered_metrics = [
-        #             v for k, v in metrics.items() if "_R@10" in k
-        #         ]  # check all R@10 metrics and use it to update the ckpt
-        # # Saving checkpoints.
-        # if args.save_logs:
-        #     if args.split_opt:
-        #         opt_dict = {
-        #             k + "_" + "optimizer": v.state_dict() for k, v in optimizer.items()
-        #         }
-        #     else:
-        #         opt_dict = {"optimizer": optimizer.state_dict()}
-        #     checkpoint_dict = {
-        #         "epoch": completed_epoch,
-        #         "name": args.name,
-        #         "state_dict": model.state_dict(),
-        #     }
-        #     checkpoint_dict.update(opt_dict)
-        #     if scaler is not None:
-        #         checkpoint_dict["scaler"] = scaler.state_dict()
-
-        #     if completed_epoch == args.epochs or (
-        #         args.save_frequency > 0 and (completed_epoch % args.save_frequency) == 0
-        #     ):
-        #         torch.save(
-        #             checkpoint_dict,
-        #             os.path.join(args.checkpoint_path, f"epoch_{completed_epoch}.pt"),
-        #         )
-        #     if args.save_most_recent:
-        #         torch.save(
-        #             checkpoint_dict,
-        #             os.path.join(args.checkpoint_path, f"epoch_latest.pt"),
-        #         )
-        #     if args.save_top_performance:
-        #         update_top_k_performance(
-        #             filtered_metrics,
-        #             current_top_k_ckpt_metrics,
-        #             args,
-        #             checkpoint_dict,
-        #             bignumbetter=True,
-        #         )
-
-    if args.wandb and is_master(args):
-        wandb.finish()
-
-
-def copy_codebase(args):
-    from shutil import copytree, ignore_patterns
-
-    new_code_path = os.path.join(args.logs, args.name, "code")
-    if os.path.exists(new_code_path):
-        print(
-            f"Error. Experiment already exists at {new_code_path}. Use --name to specify a new experiment."
-        )
-        return -1
-    print(f"Copying codebase to {new_code_path}")
-    current_code_path = os.path.realpath(__file__)
-    for _ in range(3):
-        current_code_path = os.path.dirname(current_code_path)
-    copytree(
-        current_code_path, new_code_path, ignore=ignore_patterns("log", "logs", "wandb")
-    )
-    print("Done copying code.")
-    return 1
-
-
-if __name__ == "__main__":
-    main()
diff --git a/src/training/mlaion.sh b/src/training/mlaion.sh
deleted file mode 100644
index 93ff650..0000000
--- a/src/training/mlaion.sh
+++ /dev/null
@@ -1,76 +0,0 @@
-#!/bin/bash
-#SBATCH --comment clap
-#SBATCH --partition=gpu
-#SBATCH --job-name=mclap
-#SBATCH --nodes 8
-#SBATCH --ntasks-per-node 8
-#SBATCH --cpus-per-gpu=6
-#SBATCH --gres=gpu:8
-#SBATCH --output=%x_%j.out
-#SBATCH --exclude gpu-st-p4d-24xlarge-[66,106,141,144,225,324,347-350]
-
-module load intelmpi
-source /opt/intel/mpi/latest/env/vars.sh
-export LD_LIBRARY_PATH=/opt/aws-ofi-nccl/lib:/opt/amazon/efa/lib64:/usr/local/cuda-11.0/efa/lib:/usr/local/cuda-11.0/lib:/usr/local/cuda-11.0/lib64:/usr/local/cuda-11.0:/opt/nccl/build/lib:/opt/aws-ofi-nccl-install/lib:/opt/aws-ofi-nccl/lib:$LD_LIBRARY_PATH
-export NCCL_PROTO=simple
-export PATH=/opt/amazon/efa/bin:$PATH
-export LD_PRELOAD="/opt/nccl/build/lib/libnccl.so"
-
-export FI_EFA_FORK_SAFE=1
-export FI_LOG_LEVEL=1
-export FI_EFA_USE_DEVICE_RDMA=1 # use for p4dn
-
-#export NCCL_ALGO=ring
-export NCCL_DEBUG=info
-#export NCCL_DEBUG_SUBSYS=INIT,ENV,GRAPH,COLL
-
-export PYTHONFAULTHANDLER=1
-
-export CUDA_LAUNCH_BLOCKING=0
-export OMPI_MCA_mtl_base_verbose=1
-export FI_EFA_ENABLE_SHM_TRANSFER=0
-export FI_PROVIDER=efa
-export FI_EFA_TX_MIN_CREDITS=64
-export NCCL_TREE_THRESHOLD=0
-
-
-#export NCCL_P2P_DISABLE=1
-#export NCCL_IBEXT_DISABLE=1
-#export NCCL_SOCKET_IFNAME="eth0,en,eth,em,bond"
-
-# sent to sub script
-export HOSTNAMES=`scontrol show hostnames "$SLURM_JOB_NODELIST"`
-export MASTER_ADDR=$(scontrol show hostnames "$SLURM_JOB_NODELIST" | head -n 1)
-export MASTER_PORT=12802
-export COUNT_NODE=`scontrol show hostnames "$SLURM_JOB_NODELIST" | wc -l`
-
-echo go $COUNT_NODE
-echo $HOSTNAMES
-
-source ./clap/bin/activate
-cd /home/tyz/CLAP/src
-
-srun --comment clap --cpu_bind=v --accel-bind=gn python -m training.main \
-    --save-frequency 50 \
-    --save-top-performance 3 \
-    --save-most-recent \
-    --dataset-type="webdataset" \
-    --precision="fp32" \
-    --pretrained="openai" \
-    --warmup 10000 \
-    --batch-size=184 \
-    --lr=1e-3 \
-    --wd=0.1 \
-    --epochs=400 \
-    --workers=10 \
-    --use-bn-sync \
-    --freeze-text \
-    --model PANN-14 \
-    --report-to "wandb" \
-    --wandb-notes "text-audio-freeze-text-lr-1e-3-8-dataset-model-pann-14" \
-    --datasetnames "Clotho" "audiocaps" "BBCSoundEffects" "audioset" "free_to_use_sounds" "paramount_motion" "sonniss_game_effects" "wesoundeffects" \
-    --datasetinfos "train" "unbalanced_train" "balanced_train" "valid" \
-    --top-k-checkpoint-select-dataset="Clotho-test" \
-    --top-k-checkpoint-select-metric="mAP@10" \
-    --seed 3407 \
-    --remotedata
diff --git a/src/training/train_.py b/src/training/train_.py
deleted file mode 100644
index 6fc3ac2..0000000
--- a/src/training/train_.py
+++ /dev/null
@@ -1,392 +0,0 @@
-import json
-import logging
-import math
-import os
-import time
-from contextlib import suppress
-
-import numpy as np
-import torch
-import torch.nn.functional as F
-import torchaudio
-import torchaudio.functional as audioF
-
-try:
-    import wandb
-except ImportError:
-    wandb = None
-
-from open_clip import ClipLoss
-from .distributed import is_master
-from .zero_shot import zero_shot_eval
-from .data import wds_batch_list2dict
-
-
-class AverageMeter(object):
-    """Computes and stores the average and current value"""
-
-    def __init__(self):
-        self.reset()
-
-    def reset(self):
-        self.val = 0
-        self.avg = 0
-        self.sum = 0
-        self.count = 0
-
-    def update(self, val, n=1):
-        self.val = val
-        self.sum += val * n
-        self.count += n
-        self.avg = self.sum / self.count
-
-
-def unwrap_model(model):
-    if hasattr(model, "module"):
-        return model.module
-    else:
-        return model
-
-
-def train_one_epoch(
-    model, data, epoch, optimizer, scaler, scheduler, args, tb_writer=None
-):
-    device = torch.device(args.device)
-    autocast = torch.cuda.amp.autocast if args.precision == "amp" else suppress
-    model.train()
-    loss = ClipLoss(
-        local_loss=args.local_loss,
-        gather_with_grad=args.gather_with_grad,
-        cache_labels=True,
-        rank=args.rank,
-        world_size=args.world_size,
-        use_horovod=args.horovod,
-    )
-
-    dataloader, sampler = data["train"].dataloader, data["train"].sampler
-    if args.distributed and sampler is not None:
-        sampler.set_epoch(epoch)
-    num_batches_per_epoch = dataloader.num_batches
-    sample_digits = math.ceil(math.log(dataloader.num_samples + 1, 10))
-
-    # for toy dataset
-    if args.dataset_type == "toy":
-        dataloader.dataset.generate_queue()
-
-    loss_m = AverageMeter()
-    batch_time_m = AverageMeter()
-    data_time_m = AverageMeter()
-    end = time.time()
-
-    for i, batch in enumerate(dataloader):
-        # if args.dataset_type == 'webdataset':
-        #     batch = wds_batch_list2dict(batch)
-        #     batch["text"] = batch["text"][:,0,:]
-        step = num_batches_per_epoch * epoch + i
-        if isinstance(scheduler, dict):
-            for s in scheduler.values():
-                s(step)
-        else:
-            scheduler(step)
-        audios = batch[2]  # (yusong) todo:  change to retrieve from index for now.
-        # if args.resample_method=="TorchAudio":
-        # kaiser_best
-        #    audios = audioF.resample(
-        #        audios,
-        #        batch["audio_orig_sr"][0],
-        #        32000,
-        #        lowpass_filter_width=64,
-        #        rolloff=0.9475937167399596,
-        #        resampling_method="kaiser_window",
-        #    )
-        texts = batch[3][:, 0, :]
-        # audios = audios.to(device=device, non_blocking=True)
-        # texts = texts.to(device=device, non_blocking=True)
-
-        data_time_m.update(time.time() - end)
-        # if isinstance(optimizer, dict):
-        #     for o_ in optimizer.values():
-        #         o_.zero_grad()
-        # else:
-        #     optimizer.zero_grad()
-
-        # with autocast():
-        #     audio_features, text_features, audio_features_mlp, text_features_mlp, logit_scale_a, logit_scale_t = model(audios, texts)
-        #     total_loss = loss(audio_features, text_features, audio_features_mlp, text_features_mlp, logit_scale_a, logit_scale_t)
-        # if isinstance(optimizer, dict):
-        #         if scaler is not None:
-        #             scaler.scale(total_loss).backward()
-        #             for o_ in optimizer.values():
-        #                 if args.horovod:
-        #                     o_.synchronize()
-        #                     scaler.unscale_(o_)
-        #                     with o_.skip_synchronize():
-        #                         scaler.step(o_)
-        #                 else:
-        #                     scaler.step(o_)
-        #             scaler.update()
-        #         else:
-        #             total_loss.backward()
-        #             for o_ in optimizer.values():
-        #                 o_.step()
-        # else:
-        #     if scaler is not None:
-        #         scaler.scale(total_loss).backward()
-        #         if args.horovod:
-        #             optimizer.synchronize()
-        #             scaler.unscale_(optimizer)
-        #             with optimizer.skip_synchronize():
-        #                 scaler.step(optimizer)
-        #         else:
-        #             scaler.step(optimizer)
-        #         scaler.update()
-        #     else:
-        #         total_loss.backward()
-        #         optimizer.step()
-
-        # # Note: we clamp to 4.6052 = ln(100), as in the original paper.
-        # with torch.no_grad():
-        #     unwrap_model(model).logit_scale_a.clamp_(0, math.log(100))
-        #     unwrap_model(model).logit_scale_t.clamp_(0, math.log(100))
-
-        batch_time_m.update(time.time() - end)
-        end = time.time()
-        batch_count = i + 1
-        if is_master(args) and (i % 100 == 0 or batch_count == num_batches_per_epoch):
-            batch_size = len(audios)
-            num_samples = batch_count * batch_size * args.world_size
-            samples_per_epoch = dataloader.num_samples
-            percent_complete = 100.0 * batch_count / num_batches_per_epoch
-
-            # NOTE loss is coarsely sampled, just master node and per log update
-            # loss_m.update(total_loss.item(), batch_size)
-            # logit_scale_scalar_a = logit_scale_a.item()
-            # logit_scale_scalar_t = logit_scale_t.item()
-            if isinstance(optimizer, dict):
-                logging.info(
-                    f"Train Epoch: {epoch} [{num_samples:>{sample_digits}}/{samples_per_epoch} ({percent_complete:.0f}%)] "
-                    f"Loss: {loss_m.val:#.5g} ({loss_m.avg:#.4g}) "
-                    f"Data (t): {data_time_m.avg:.3f} "
-                    f"Batch (t): {batch_time_m.avg:.3f} "
-                    f"LR: {[o_.param_groups[0]['lr'] for o_ in optimizer.values()]} "
-                    # f"Logit Scale Audio: {logit_scale_scalar_a:.3f}"
-                    # f"Logit Scale Text: {logit_scale_scalar_t:.3f}"
-                )
-                log_data = {
-                    "loss": loss_m.val,
-                    "data_time": data_time_m.val,
-                    "batch_time": batch_time_m.val,
-                    # "scale_audio":  logit_scale_scalar_a,
-                    # "scale_text":  logit_scale_scalar_t,
-                    "lr": [o_.param_groups[0]["lr"] for o_ in optimizer.values()],
-                }
-            else:
-                logging.info(
-                    f"Train Epoch: {epoch} [{num_samples:>{sample_digits}}/{samples_per_epoch} ({percent_complete:.0f}%)] "
-                    f"Loss: {loss_m.val:#.5g} ({loss_m.avg:#.4g}) "
-                    f"Data (t): {data_time_m.avg:.3f} "
-                    f"Batch (t): {batch_time_m.avg:.3f} "
-                    f"LR: {optimizer.param_groups[0]['lr']:5f} "
-                    # f"Logit Scale Audio: {logit_scale_scalar_a:.3f}"
-                    # f"Logit Scale Text: {logit_scale_scalar_t:.3f}"
-                )
-
-                # Save train loss / etc. Using non avg meter values as loggers have their own smoothing
-                log_data = {
-                    "loss": loss_m.val,
-                    "data_time": data_time_m.val,
-                    "batch_time": batch_time_m.val,
-                    # "scale_audio":  logit_scale_scalar_a,
-                    # "scale_text":  logit_scale_scalar_t,
-                    "lr": optimizer.param_groups[0]["lr"],
-                }
-            for name, val in log_data.items():
-                name = "train/" + name
-                if tb_writer is not None:
-                    tb_writer.add_scalar(name, val, step)
-                if args.wandb:
-                    assert wandb is not None, "Please install wandb."
-                    wandb.log({name: val, "step": step})
-
-            # resetting batch / data time meters per log window
-            batch_time_m.reset()
-            data_time_m.reset()
-    # end for
-
-
-def evaluate(model, data, epoch, args, tb_writer=None):
-    metrics = {}
-    if not is_master(args):
-        return metrics
-    device = torch.device(args.device)
-    model.eval()
-
-    # CHANGE
-    # zero_shot_metrics = zero_shot_eval(model, data, epoch, args)
-    # metrics.update(zero_shot_metrics)
-
-    autocast = torch.cuda.amp.autocast if args.precision == "amp" else suppress
-    if "val" in data and (
-        args.val_frequency
-        and ((epoch % args.val_frequency) == 0 or epoch == args.epochs)
-    ):
-        dataloader = data["val"].dataloader
-        num_samples = 0
-        samples_per_val = dataloader.num_samples
-
-        # FIXME this does not scale past small eval datasets
-        # all_audio_features @ all_text_features will blow up memory and compute very quickly
-        cumulative_loss = 0.0
-        (
-            all_audio_features,
-            all_text_features,
-            all_audio_features_mlp,
-            all_text_features_mlp,
-        ) = ([], [], [], [])
-        with torch.no_grad():
-            for i, batch in enumerate(dataloader):
-                # if args.dataset_type == 'webdataset':
-                #     batch = wds_batch_list2dict(batch)
-                #     batch["text"] = batch["text"][:,0,:]
-                #
-                # audios = batch["waveform"].float()
-                # if args.resample_method=="TorchAudio":
-                #     # kaiser_best
-                #     audios = audioF.resample(
-                #         audios,
-                #         batch["audio_orig_sr"][0],
-                #         32000,
-                #         lowpass_filter_width=64,
-                #         rolloff=0.9475937167399596,
-                #         resampling_method="kaiser_window",
-                #     )
-                # texts = batch["text"].long()
-                audios = batch[
-                    2
-                ]  # (yusong) todo:  change to retrieve from index for now.
-                texts = batch[3][:, 0, :]
-                audios = audios.to(device=device, non_blocking=True)
-                texts = texts.to(device=device, non_blocking=True)
-
-                with autocast():
-                    (
-                        audio_features,
-                        text_features,
-                        audio_features_mlp,
-                        text_features_mlp,
-                        logit_scale_a,
-                        logit_scale_t,
-                    ) = model(audios, texts)
-                    # features are accumulated in CPU tensors, otherwise GPU memory exhausted quickly
-                    # however, system RAM is easily exceeded and compute time becomes problematic
-                    all_audio_features.append(audio_features.cpu())
-                    all_text_features.append(text_features.cpu())
-                    all_audio_features_mlp.append(audio_features_mlp.cpu())
-                    all_text_features_mlp.append(text_features_mlp.cpu())
-                    logit_scale_a = logit_scale_a.mean()
-                    a_logits_per_audio = (
-                        logit_scale_a * audio_features @ text_features_mlp.t()
-                    )
-                    a_logits_per_text = a_logits_per_audio.t()
-                    logit_scale_t = logit_scale_t.mean()
-                    t_logits_per_audio = (
-                        logit_scale_t * audio_features_mlp @ text_features.t()
-                    )
-                    t_logits_per_text = t_logits_per_audio.t()
-
-                    batch_size = audios.shape[0]
-                    labels = torch.arange(batch_size, device=device).long()
-                    total_loss = (
-                        F.cross_entropy(a_logits_per_audio, labels)
-                        + F.cross_entropy(a_logits_per_text, labels)
-                        + F.cross_entropy(t_logits_per_audio, labels)
-                        + F.cross_entropy(t_logits_per_text, labels)
-                    ) / 4
-
-                cumulative_loss += total_loss * batch_size
-                num_samples += batch_size
-                if is_master(args) and (i % 100) == 0:
-                    logging.info(
-                        f"Eval Epoch: {epoch} [{num_samples} / {samples_per_val}]\t"
-                        f"Loss: {cumulative_loss / num_samples:.6f}\t"
-                    )
-
-            val_metrics = get_metrics(
-                audio_features=torch.cat(all_audio_features),
-                text_features=torch.cat(all_text_features),
-                audio_features_mlp=torch.cat(all_audio_features_mlp),
-                text_features_mlp=torch.cat(all_text_features_mlp),
-                logit_scale_a=logit_scale_a.cpu(),
-                logit_scale_t=logit_scale_t.cpu(),
-            )
-            loss = cumulative_loss / num_samples
-            metrics.update(
-                {
-                    **val_metrics,
-                    "val_loss": loss.item(),
-                    "epoch": epoch,
-                    "num_samples": num_samples,
-                }
-            )
-
-    if not metrics:
-        return metrics
-
-    logging.info(
-        f"Eval Epoch: {epoch} "
-        + "\t".join([f"{k}: {round(v, 4):.4f}" for k, v in metrics.items()])
-    )
-
-    if args.save_logs:
-        for name, val in metrics.items():
-            if tb_writer is not None:
-                tb_writer.add_scalar(f"val/{name}", val, epoch)
-
-        with open(os.path.join(args.checkpoint_path, "results.jsonl"), "a+") as f:
-            f.write(json.dumps(metrics))
-            f.write("\n")
-
-    if args.wandb:
-        assert wandb is not None, "Please install wandb."
-        for name, val in metrics.items():
-            wandb.log({f"val/{name}": val, "epoch": epoch})
-
-    return metrics
-
-
-# CHANGE here
-def get_metrics(
-    audio_features,
-    text_features,
-    audio_features_mlp,
-    text_features_mlp,
-    logit_scale_a,
-    logit_scale_t,
-):
-    metrics = {}
-    a_logits_per_audio = (
-        (logit_scale_a * audio_features @ text_features_mlp.t()).detach().cpu()
-    )
-    a_logits_per_text = a_logits_per_audio.t().detach().cpu()
-    t_logits_per_audio = (
-        (logit_scale_t * audio_features_mlp @ text_features.t()).detach().cpu()
-    )
-    t_logits_per_text = t_logits_per_audio.t().detach().cpu()
-    logits = {
-        "audio_to_text": (a_logits_per_audio + t_logits_per_audio) / 2,
-        "text_to_audio": (a_logits_per_text + t_logits_per_text) / 2,
-    }
-    ground_truth = torch.arange(len(text_features)).view(-1, 1)
-
-    for name, logit in logits.items():
-        ranking = torch.argsort(logit, descending=True)
-        preds = torch.where(ranking == ground_truth)[
-            1
-        ]  # (yusong) todo: this line is slow as uses single thread
-        preds = preds.detach().cpu().numpy()
-        metrics[f"{name}_mean_rank"] = preds.mean() + 1
-        metrics[f"{name}_median_rank"] = np.floor(np.median(preds)) + 1
-        for k in [1, 5, 10]:
-            metrics[f"{name}_R@{k}"] = np.mean(preds < k)
-
-    return metrics


Test patch:
diff --git a/src/data/BBCSoundEffects/test.txt b/src/data/BBCSoundEffects/test.txt
deleted file mode 100644
index d7cabf1..0000000
--- a/src/data/BBCSoundEffects/test.txt
+++ /dev/null
@@ -1,4 +0,0 @@
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/BBCSoundEffects/test/0.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/BBCSoundEffects/test/1.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/BBCSoundEffects/test/2.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/BBCSoundEffects/test/3.tar
\ No newline at end of file
diff --git a/src/data/Clotho/test.txt b/src/data/Clotho/test.txt
deleted file mode 100644
index 0689c3c..0000000
--- a/src/data/Clotho/test.txt
+++ /dev/null
@@ -1,3 +0,0 @@
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/Clotho/test/0.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/Clotho/test/1.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/Clotho/test/2.tar
\ No newline at end of file
diff --git a/src/data/audiocaps/test.txt b/src/data/audiocaps/test.txt
deleted file mode 100644
index f81a7e8..0000000
--- a/src/data/audiocaps/test.txt
+++ /dev/null
@@ -1,9 +0,0 @@
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/test/0.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/test/1.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/test/2.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/test/3.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/test/4.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/test/5.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/test/6.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/test/7.tar
-pipe:aws s3 cp s3://s-laion-audio/webdataset_tar/audiocaps/test/8.tar
\ No newline at end of file
diff --git a/src/training/test_infer.py b/src/training/test_infer.py
deleted file mode 100644
index 2c6b7cc..0000000
--- a/src/training/test_infer.py
+++ /dev/null
@@ -1,259 +0,0 @@
-from inspect import getargs
-import logging
-import os
-import random
-from datetime import datetime
-import bisect
-import copy
-import numpy as np
-import torch
-import torch.backends.cudnn as cudnn
-from torch import optim
-from torch.cuda.amp import GradScaler
-
-try:
-    import wandb
-except ImportError:
-    wandb = None
-
-try:
-    import torch.utils.tensorboard as tensorboard
-except ImportError:
-    tensorboard = None
-
-try:
-    import horovod.torch as hvd
-except ImportError:
-    hvd = None
-
-from open_clip import create_model_and_transforms, trace_model, create_model
-from training.data import get_data
-from training.distributed import is_master, init_distributed_device, world_info_from_env
-from training.logger import setup_logging
-from training.params import parse_args
-from training.scheduler import cosine_lr
-from training.train import train_one_epoch, evaluate
-from open_clip.utils import get_tar_path_from_dataset_name, dataset_split
-
-def maintain_ckpts(args, startidx, all_idx_len):
-    for i in reversed(range(startidx, all_idx_len)):
-        if os.path.exists(os.path.join(args.checkpoint_path, f"epoch_top_{i}.pt")):
-            os.rename(
-                os.path.join(args.checkpoint_path, f"epoch_top_{i}.pt"),
-                os.path.join(args.checkpoint_path, f"epoch_top_{i+1}.pt"),
-            )
-    if os.path.exists(
-        os.path.join(args.checkpoint_path, f"epoch_top_{all_idx_len}.pt")
-    ):
-        os.remove(os.path.join(args.checkpoint_path, f"epoch_top_{all_idx_len}.pt"))
-    return
-
-
-def update_top_k_performance(
-    new_metrics_inputs, current_top_k_ckpt_metrics, args, ckpt, bignumbetter=True
-):
-    """
-    Record the top-k performance of the current epoch.
-    current_top_k_metrics is a dictionary of the form: {1: top_1_ckpt_measure, 2: top_2_ckpt_measure, ...}
-    """
-    if isinstance(new_metrics_inputs, (list, tuple)):
-        new_metrics_inputs = np.mean(new_metrics_inputs)
-        return update_top_k_performance(
-            new_metrics_inputs,
-            current_top_k_ckpt_metrics,
-            args=args,
-            ckpt=ckpt,
-            bignumbetter=bignumbetter,
-        )
-    elif isinstance(new_metrics_inputs, dict):
-        new_metrics_inputs = np.mean(list(new_metrics_inputs.values()))
-        return update_top_k_performance(
-            new_metrics_inputs,
-            current_top_k_ckpt_metrics,
-            args=args,
-            ckpt=ckpt,
-            bignumbetter=bignumbetter,
-        )
-    elif isinstance(new_metrics_inputs, (float, int)):
-        update_flag = {k: False for k in current_top_k_ckpt_metrics.keys()}
-        sorted_keys = sorted(current_top_k_ckpt_metrics.keys())
-        sorted_values = sorted(
-            current_top_k_ckpt_metrics.values(), reverse=bignumbetter
-        )
-        sorted_values_ = copy.deepcopy(sorted_values)
-        sorted_values.append(new_metrics_inputs)
-        sorted_values = sorted(sorted_values, reverse=bignumbetter)
-        sorted_values = sorted_values[:-1]
-
-        if sorted_values == sorted_values_:
-            return current_top_k_ckpt_metrics, new_metrics_inputs
-        else:
-            for i in range(len(sorted_keys)):
-                if current_top_k_ckpt_metrics[sorted_keys[i]] != sorted_values[i]:
-                    current_top_k_ckpt_metrics[sorted_keys[i]] = sorted_values[i]
-                    update_flag[sorted_keys[i]] = True
-            for i in range(len(update_flag)):
-                if update_flag[i]:
-                    maintain_ckpts(args, i, len(sorted_keys))
-                    torch.save(
-                        ckpt,
-                        os.path.join(args.checkpoint_path, f"epoch_top_{i}.pt"),
-                    )
-                    break
-            return current_top_k_ckpt_metrics, new_metrics_inputs
-
-
-# def updateifNone(a, b):
-#     a = b if None else a
-#     return a
-
-
-def is_pretrained_params(n):
-    return (
-        n.startswith("transformer")
-        or n in ["positional_embedding", "text_projection"]
-        or n.startswith("token_embedding")
-        or n.startswith("ln_final")
-        or n.startswith("logit_scale_t")
-    )
-
-
-def random_seed(seed=42, rank=0):
-    torch.manual_seed(seed + rank)
-    np.random.seed(seed + rank)
-    random.seed(seed + rank)
-
-
-def main():
-    args = parse_args()
-    # sanitize model name for filesystem / uri use, easier if we don't use / in name as a rule?
-    args.amodel = args.amodel.replace("/", "-")
-    # download sizes.json file
-    
-    random.seed(args.seed)
-    torch.manual_seed(args.seed)
-    torch.cuda.manual_seed(args.seed)
-    torch.cuda.manual_seed_all(args.seed)
-    np.random.seed(args.seed)
-
-    # get the name of the experiments
-    if args.name is None:
-        args.name = "-".join(
-            [
-                datetime.now().strftime("%Y_%m_%d-%H_%M_%S"),
-                f"model_{args.amodel}",
-                f"lr_{args.lr}",
-                f"b_{args.batch_size}",
-                f"j_{args.workers}",
-                f"p_{args.precision}",
-            ]
-        )
-
-    # discover initial world args early so we can log properly
-    args.distributed = False
-    args.local_rank, args.rank, args.world_size = world_info_from_env()
-
-    args.log_path = None
-    if is_master(args, local=args.log_local):
-        log_base_path = os.path.join(args.logs, args.name)
-        os.makedirs(log_base_path, exist_ok=True)
-        log_filename = f"out-{args.rank}" if args.log_local else "out.log"
-        args.log_path = os.path.join(log_base_path, log_filename)
-        if os.path.exists(args.log_path):
-            print(
-                "Error. Experiment already exists. Use --name {} to specify a new experiment."
-            )
-            return -1
-
-    # Set logger
-    args.log_level = logging.DEBUG if args.debug else logging.INFO
-    setup_logging(args.log_path, args.log_level)
-
-    # fully initialize distributed device environment
-    device = init_distributed_device(args)
-
-    assert args.precision in ["amp", "fp16", "fp32"]
-    if args.precision == "fp16":
-        logging.warning(
-            "It is recommended to use AMP mixed-precision instead of FP16. "
-            "FP16 support needs further verification and tuning, especially for train."
-        )
-
-    if args.horovod:
-        logging.info(
-            f"Running in horovod mode with multiple processes / nodes. Device: {args.device}."
-            f"Process (global: {args.rank}, local {args.local_rank}), total {args.world_size}."
-        )
-    elif args.distributed:
-        logging.info(
-            f"Running in distributed mode with multiple processes. Device: {args.device}."
-            f"Process (global: {args.rank}, local {args.local_rank}), total {args.world_size}."
-        )
-    else:
-        logging.info(f"Running with a single process. Device {args.device}.")
-
-    model, model_cfg = create_model(
-        args.amodel,
-        args.pretrained,
-        precision=args.precision,
-        device=device,
-        jit=args.torchscript,
-        force_quick_gelu=args.force_quick_gelu,
-    )
-
-    if args.trace:
-        model = trace_model(model, batch_size=args.batch_size, device=device)
-
-    if is_master(args):
-        logging.info("Model:")
-        logging.info(f"{str(model)}")
-        logging.info("Params:")
-        params_file = os.path.join(args.logs, args.name, "params.txt")
-        with open(params_file, "w") as f:
-            for name in sorted(vars(args)):
-                val = getattr(args, name)
-                logging.info(f"  {name}: {val}")
-                f.write(f"{name}: {val}\n")
-
-    if args.distributed and not args.horovod:
-        if args.use_bn_sync:
-            model = torch.nn.SyncBatchNorm.convert_sync_batchnorm(model)
-        ddp_args = {}
-        if args.ddp_static_graph:
-            # this doesn't exist in older PyTorch, arg only added if enabled
-            ddp_args["static_graph"] = True
-        model = torch.nn.parallel.DistributedDataParallel(
-            model, device_ids=[device], find_unused_parameters=True, **ddp_args
-        )
-
-
-    exclude = (
-        lambda n, p: p.ndim < 2
-        or "bn" in n
-        or "ln" in n
-        or "bias" in n
-        or "logit_scale" in n
-    )
-    include = lambda n, p: not exclude(n, p)
-
-    named_parameters = list(model.named_parameters())
-
-    # freeze text encoder
-    text_freeze_parameters = [
-        p
-        for n, p in named_parameters
-        if n.startswith("transformer")
-        or n in ["positional_embedding", "text_projection"]
-        or n.startswith("token_embedding")
-        or n.startswith("ln_final")
-    ]
-
-    # construct data
-    output_dict = model.audio_infer(torch.rand(960000).cuda(), hopsize=120000, key ="fine_grained_embedding", device=device)
-    print(output_dict["fine_grained_embedding"].size())
-
-    # inference
-
-
-if __name__ == "__main__":
-    main()