# seedv2-t2i is a image datasets
# albatross_1, albatross_2: seems to be outdoor sports related videos (skydiving, ski, bouldering etc)
# 1 image dataset, 54 video datasets
# train_data: [ 'seedv2-t2i', '123rf', 'albatross_1', 'albatross_2','budgie_1', 'budgie_2', 'canary_1', 'canary_2', 'condor_1', 'condor_2', 'falcon', 'filmsupply_highres',
#               'guillemot_1', 'guillemot_2', 'guillemot_3', 'guillemot_4', 'gull_1', 'gull_2', 'harrier_1', 'harrier_2', 'hdvg', 'hornbill_1', 'hornbill_2', 'hummingbird_1', 'hummingbird_2', 
#               'kingfisher', 'lovebird', 'macaw_1', 'macaw_2', 'movie_1', 'movie_2', 'panda70m', 'partridge_1', 'partridge_2', 'partridge_3', 'partridge_4', 'petrel_1', 'petrel_2', 'pigeon_1', 'pigeon_2', 
#               'pond5', 'puffin_1', 'puffin_2', 'swallow_1', 'swallow_2', 'vimeo_1', 'vimeo_2', 'vimeo_3', 'vimeo_4', 'warbler_1', 'warbler_2', 'wren_1', 'wren_2'] # 256px Train data path
# train_data_weights: [13, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1] # Train data weights, image:video = 1:4

# 1 image dataset, 29 video datasets
# train_data: [ 'seedv2-t2i', 'albatross_2', 'budgie_1', 'budgie_2', 'canary_2', 'condor_2', 'falcon', 'filmsupply_highres', 'guillemot_2', 'guillemot_4', 'gull_2', 'harrier_2', 'hdvg', 'hornbill_2', 'hummingbird_2', 'kingfisher', 'lovebird',
#               'macaw_2', 'movie_2', 'panda70m', 'partridge_2', 'partridge_4', 'petrel_2', 'pigeon_2', 'puffin_2', 'swallow_2', 'vimeo_2', 'vimeo_4', 'warbler_2', 'wren_2'] # 512px Train data path
# train_data_weights: [7, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1] # Train data weights, image:video = 1:4

# 123rf xiaobao pond5

# train_data: ['albatross_2', 'budgie_1', 'budgie_2', 'canary_2', 'condor_2', 'falcon', 'filmsupply_highres', 'guillemot_2', 'guillemot_4', 'gull_2', 'harrier_2', 'hdvg', 'hornbill_2', 'hummingbird_2', 'kingfisher', 'lovebird',
#               'macaw_2', 'movie_2', 'panda70m', 'partridge_2', 'partridge_4', 'petrel_2', 'pigeon_2', 'puffin_2', 'swallow_2', 'vimeo_2', 'vimeo_4', 'warbler_2', 'wren_2'] # 512px Train data path
# train_data_weights: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1] # Train data weights, image:video = 1:4

# train_data: ['123rf'] # 512px Train data path  , 'xiaobao', 'pond5'
# train_data: ['xiaobao']
#123rf 2075933  
#pond5 5270119 

# train_data: ['pond5','123rf']
# train_data_weights: [1,1]
train_data: ['pond5']
train_data_weights: [1]

# #### image data ####
# seedv2-t2i
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/seed_t2i/kexuanyi/data/train_data/pretrained_data/kv/v2.0/pretrained_en/v2.0_data_512_src_data

# #### original video data ####
# nexdata0
# hdfs://harunava/home/byte_ailab_us_cvg/user/cma/video_gen/data_pipeline/nexdata/stage4/processing_parquet_out_merged/world_size_1/

# xiaobao
# hdfs://harunava/home/byte_ailab_us_cvg/user/cma/video_gen/data_pipeline/graydata_xiaobao_video_20241209/final_passed_whole_20241222/world_size_1000

# vulture
# hdfs://harunasg/home/byte_data_tt_m/warehouse/content_ecom.db/video_gen/dataset/vulture

# 123rf
# /mnt/bn/icvg/video_gen/captions/123rf_res/123rf_data_res.json

# hdvg
# hdfs://harunasg/home/byte_data_tt_m/warehouse/content_ecom.db/video_gen/dataset/base-stage-2/hdvg/v1/data/

# pond5
# /mnt/bn/icvg/video_gen/captions/pond5_res/pond5_data_res.json

# panda70m
# hdfs://harunasg/home/byte_data_tt_m/warehouse/content_ecom.db/video_gen/dataset/base-stage-2/panda70m/v1/data/

# #### new video data ####
# albatross
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/albatross/2024-10-10-05-40-01/data
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/albatross/2024-10-11-04-44-59/data

# budgie
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/budgie/p2/2024-10-11-04-42-30/data
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/budgie/p3/2024-10-11-04-43-39/data

# canary
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/canary/2024-10-10-05-40-25/data
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/canary/2024-10-11-04-44-41/data

# condor
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/condor/2024-10-10-05-41-37/data
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/condor/2024-10-11-04-45-40/data

# falcon
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/falcon/2024-10-11-04-44-18/data

# filmsupply_highres
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/filmsupply_highres/2024-10-11-04-43-38/data

# guillemot
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/guillemot/p1/2024-10-10-05-40-24/data
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/guillemot/p1/2024-10-11-04-45-38/data
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/guillemot/p2/2024-10-10-05-40-36/data
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/guillemot/p2/2024-10-11-04-45-41/data

# gull
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/gull/2024-10-10-05-39-41/data
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/gull/2024-10-11-04-43-41/data

# harrier
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/harrier/2024-10-10-05-41-40/data
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/harrier/2024-10-11-04-45-41/data

# hornbill
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/hornbill/2024-10-10-05-40-53/data
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/hornbill/2024-10-11-04-46-51/data

# hummingbird
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/hummingbird/2024-10-10-05-39-30/data
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/hummingbird/2024-10-11-04-43-38/data

# kingfisher
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/kingfisher/2024-10-11-04-44-18/data

# lovebird
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/lovebird/2024-10-11-04-44-18/data

# macaw
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/macaw/2024-10-10-05-40-29/data
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/macaw/2024-10-11-04-43-38/data

# movie
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/movie/2024-10-10-05-40-40/data
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/movie/2024-10-11-04-44-40/data

# partridge
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/partridge/p1/2024-10-10-07-14-43/data
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/partridge/p1/2024-10-11-04-49-38/data
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/partridge/p2/2024-10-10-20-08-27/data
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/partridge/p2/2024-10-11-04-47-38/data

# petrel
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/petrel/2024-10-10-05-41-55/data
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/petrel/2024-10-11-04-45-52/data

# pheasant
# No data!!!

# pigeon
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/pigeon/2024-10-10-05-40-25/data
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/pigeon/2024-10-11-04-45-39/data

# puffin
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/puffin/2024-10-10-05-40-41/data
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/puffin/2024-10-11-04-45-44/data

# swallow
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/swallow/2024-10-10-07-09-33/data
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/swallow/2024-10-11-04-45-13/data

# vimeo
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/vimeo/2024-10-10-05-49-07/data
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/vimeo/2024-10-11-04-45-19/data
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/vimeo/p3/2024-10-10-05-49-53/data
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/vimeo/p3/2024-10-11-04-46-50/data

# warbler
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/warbler/2024-10-10-05-40-37/data
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/warbler/2024-10-11-04-43-41/data

# wren
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/wren/2024-10-10-05-43-46/data
# hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/wren/2024-10-11-04-46-40/data

data:
  params:
    batch_size: 1 # the real batch size
    image_batch_size: 16 # real image batch size
    enable_bucket: True
    dataset_collections: # list all available datasets
      seedv2-t2i:
        target: training.dataset_tool.T2IHDFSDataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/seed_t2i/kexuanyi/data/train_data/pretrained_data/kv/v2.0/pretrained_en/v2.0_data_512_src_data"
        aspect_ratios:
          "i-256p-3.0": [768,256]
          "i-320p-2.4": [768, 320]
          "i-320p-2.2": [704, 320]
          "i-384p-2.0": [768, 384]
          "i-384p-1.67": [640, 384]
          "i-512p-1.5": [768, 512]
          "i-448p-1.29": [576, 448]
          "i-512p-1.0": [512, 512]
          "i-448p-0.78": [448, 576]
          "i-512p-0.67": [512, 768]
          "i-384p-0.6": [384, 640]
          "i-384p-0.5": [384, 768]
          "i-320p-0.45": [320, 704]
          "i-320p-0.42": [320, 768]
          "i-256p-0.33": [256, 768]
          # # default buckets
          # "i-256p-0.33": [256, 768]
          # "i-320p-0.42": [320, 768]
          # "i-320p-0.45": [320, 704]
          # "i-384p-0.6": [384, 640]
          # "i-448p-0.78": [448, 576]
          # "i-512p-1.0": [512, 512]
          # "i-448p-1.29": [576, 448]
          # "i-384p-1.67": [640, 384]
          # "i-320p-2.2": [704, 320]
          # "i-320p-2.4": [768, 320]
          # "i-256p-3.0": [768, 256]
          # 256px buckets for image, if use this config, need to set the params.resolution to 256
          # "i-256p-0.33": [128, 384]
          # "i-256p-0.4": [128, 320]
          # "i-256p-0.6": [192, 320]
          # "i-256p-0.75": [192, 256]
          # "i-256p-1.0": [256, 256]
          # "i-256p-1.33": [256, 192]
          # "i-256p-1.67": [320, 192]
          # "i-256p-2.5": [320, 128]
          # "i-256p-3.0": [384, 128]
        ratio_strategy: closest
        params:
          resolution: 512
          debug: False
          caption_key: ["english_caption_qwenllm_v1_emb_dict", "english_caption_qwenllm_v2_emb_dict", "qwenllm_v2.0_orig_caption_emb_dict"] # priority to use the first two, and use the original caption with a low probability
          aspect_ratios:
            "i-256p-0.33": [256, 768]
            "i-320p-0.42": [320, 768]
            "i-320p-0.45": [320, 704]
            "i-384p-0.6": [384, 640]
            "i-448p-0.78": [448, 576]
            "i-512p-1.0": [512, 512]
            "i-448p-1.29": [576, 448]
            "i-384p-1.67": [640, 384]
            "i-320p-2.2": [704, 320]
            "i-320p-2.4": [768, 320]
            "i-256p-3.0": [768, 256]
      123rf:
        target: training.dataset_tool.T2VHDFSDataset
        path: "/mnt/bn/wanyangyue-va/yinyuanyang/WanX/123rf_data_res.json"
        aspect_ratios:
          # "320p-2.4": [768, 320]
          # "384p-2.0": [768, 384]
          # "512p-1.5": [768, 512]
          # "448p-1.29": [576, 448]
          # "512p-1.0": [512, 512]
          # "448p-0.78": [448, 576]
          # "512p-0.67": [512, 768]
          # "384p-0.5": [384, 768]
          # "320p-0.42": [320, 768]
          "480p-0.58": [480, 832]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 16
          sample_n_frames: 81
          sample_stride: 1
      hdvg:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_data_tt_m/warehouse/content_ecom.db/video_gen/dataset/base-stage-2/hdvg/v1/data/"
        aspect_ratios:
          # "320p-2.4": [768, 320]
          # "384p-2.0": [768, 384]
          # "512p-1.5": [768, 512]
          # "448p-1.29": [576, 448]
          # "512p-1.0": [512, 512]
          # "448p-0.78": [448, 576]
          # "512p-0.67": [512, 768]
          # "384p-0.5": [384, 768]
          # "320p-0.42": [320, 768]
          "480p-0.58": [480, 832]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 16
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 81 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      panda70m:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_data_tt_m/warehouse/content_ecom.db/video_gen/dataset/base-stage-2/panda70m/v1/data/"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      pond5:
        target: training.dataset_tool.T2VHDFSDataset
        # path: "/mnt/bn/wanyangyue-va/yinyuanyang/WanX/pond5_data_res.json"
        path: "/mnt/bn/wanyangyue-va/yinyuanyang/WanX/recaptions/pond5_shortcaptions_2.json"
        # path: "/mnt/bn/wanyangyue-va/yinyuanyang/WanX/recaptions/pond5_human.json"
        aspect_ratios:
          # "320p-2.4": [768, 320]
          # "384p-2.0": [768, 384]
          # "512p-1.5": [768, 512]
          # "448p-1.29": [576, 448]
          # "512p-1.0": [512, 512]
          # "448p-0.78": [448, 576]
          # "512p-0.67": [512, 768]
          # "384p-0.5": [384, 768]
          # "320p-0.42": [320, 768]
          "480p-0.58": [480, 832]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 16
          sample_n_frames: 81
          sample_stride: 1
      xiaobao:
        target: training.dataset_tool.d
        path: "hdfs://harunava/home/byte_ailab_us_cvg/user/cma/video_gen/data_pipeline/graydata_xiaobao_video_20241209/final_passed_whole_20241222/world_size_1000"
        aspect_ratios:
          # "320p-2.4": [768, 320]
          # "384p-2.0": [768, 384]
          # "512p-1.5": [768, 512]
          # "448p-1.29": [576, 448]
          # "512p-1.0": [512, 512]
          # "448p-0.78": [448, 576]
          # "512p-0.67": [512, 768]
          # "384p-0.5": [384, 768]
          # "320p-0.42": [320, 768]
          "480p-0.58": [480, 832]
        ratio_strategy: random
        params:
          caption_path: '' # extra caption file, used for seed dataset
          caption_key: 'caption_short' # the key stores caption
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 16
          sample_n_frames: 81
          sample_stride: 2
          parquet_batch: 128
          video_toskey: 'clip_toskey'
          bytes_key: 'bytes'
          decode_backend: 'pyav' # imageio pyav
      vulture:
        target: training.dataset_tool.AIPVideoDataset
        path: "hdfs://harunasg/home/byte_data_tt_m/warehouse/content_ecom.db/video_gen/dataset/vulture/v1/data/"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          caption_path: 'hdfs://harunasg/home/byte_data_tt_m/warehouse/content_ecom.db/video_gen/dataset/v2/vulture/vulture_data_res.json'
          caption_key: 'caption' # the key stores caption
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          sample_n_frames: 17
          sample_stride: 2
          parquet_batch: 128
          video_toskey: ''
          bytes_key: 'video'
          decode_backend: 'pyav' # imageio pyav
      albatross_1:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/albatross/2024-10-10-05-40-01/data"
        # old_path: "hdfs://harunasg/home/byte_data_tt_m/VGFM/data/packed/vae-1011/albatross/2024-10-10-05-40-01/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      albatross_2:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/albatross/2024-10-11-04-44-59/data"
        # old_path: "hdfs://harunasg/home/byte_data_tt_m/VGFM/data/packed/vae-1011/albatross/2024-10-11-04-44-59/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      budgie_1:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/budgie/p2/2024-10-11-04-42-30/data"
        #old_path: "hdfs://harunasg/home/byte_data_tt_m/VGFM/data/packed/vae-1011/budgie/p2/2024-10-11-04-42-30/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      budgie_2:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/budgie/p3/2024-10-11-04-43-39/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      canary_1:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/canary/2024-10-10-05-40-25/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      canary_2:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/canary/2024-10-11-04-44-41/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      condor_1:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/condor/2024-10-10-05-41-37/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      condor_2:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/condor/2024-10-11-04-45-40/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      falcon:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/falcon/2024-10-11-04-44-18/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      filmsupply_highres:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/filmsupply_highres/2024-10-11-04-43-38/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      guillemot_1:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/guillemot/p1/2024-10-10-05-40-24/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      guillemot_2:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/guillemot/p1/2024-10-11-04-45-38/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      guillemot_3:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/guillemot/p2/2024-10-10-05-40-36/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      guillemot_4:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/guillemot/p2/2024-10-11-04-45-41/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      gull_1:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/gull/2024-10-10-05-39-41/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      gull_2:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/gull/2024-10-11-04-43-41/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      harrier_1:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/harrier/2024-10-10-05-41-40/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      harrier_2:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/harrier/2024-10-11-04-45-41/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      hornbill_1:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/hornbill/2024-10-10-05-40-53/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      hornbill_2:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/hornbill/2024-10-11-04-46-51/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      hummingbird_1:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/hummingbird/2024-10-10-05-39-30/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      hummingbird_2:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/hummingbird/2024-10-11-04-43-38/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      kingfisher:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/kingfisher/2024-10-11-04-44-18/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      lovebird:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/lovebird/2024-10-11-04-44-18/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      macaw_1:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/macaw/2024-10-10-05-40-29/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      macaw_2:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/macaw/2024-10-11-04-43-38/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      movie_1:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/movie/2024-10-10-05-40-40/data"
        aspect_ratios:
          # "320p-2.4": [768, 320]
          # "384p-2.0": [768, 384]
          # "512p-1.5": [768, 512]
          # "448p-1.29": [576, 448]
          # "512p-1.0": [512, 512]
          # "448p-0.78": [448, 576]
          # "512p-0.67": [512, 768]
          # "384p-0.5": [384, 768]
          # "320p-0.42": [320, 768]
          "480p-0.58": [480, 832]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 16 #24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 81 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      movie_2:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/movie/2024-10-11-04-44-40/data"
        aspect_ratios:
          # "320p-2.4": [768, 320]
          # "384p-2.0": [768, 384]
          # "512p-1.5": [768, 512]
          # "448p-1.29": [576, 448]
          # "512p-1.0": [512, 512]
          # "448p-0.78": [448, 576]
          # "512p-0.67": [512, 768]
          # "384p-0.5": [384, 768]
          # "320p-0.42": [320, 768]
          "480p-0.58": [480, 832]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 16
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 81 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      partridge_1:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/partridge/p1/2024-10-10-07-14-43/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      partridge_2:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/partridge/p1/2024-10-11-04-49-38/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      partridge_3:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/partridge/p2/2024-10-10-20-08-27/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      partridge_4:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/partridge/p2/2024-10-11-04-47-38/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      petrel_1:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/petrel/2024-10-10-05-41-55/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      petrel_2:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/petrel/2024-10-11-04-45-52/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      pigeon_1:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/pigeon/2024-10-10-05-40-25/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      pigeon_2:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/pigeon/2024-10-11-04-45-39/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      puffin_1:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/puffin/2024-10-10-05-40-41/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      puffin_2:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/puffin/2024-10-11-04-45-44/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      swallow_1:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/swallow/2024-10-10-07-09-33/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      swallow_2:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/swallow/2024-10-11-04-45-13/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      vimeo_1:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/vimeo/2024-10-10-05-49-07/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      vimeo_2:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/vimeo/2024-10-11-04-45-19/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      vimeo_3:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/vimeo/p3/2024-10-10-05-49-53/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      vimeo_4:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/vimeo/p3/2024-10-11-04-46-50/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      warbler_1:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/warbler/2024-10-10-05-40-37/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      warbler_2:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/warbler/2024-10-11-04-43-41/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      wren_1:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/wren/2024-10-10-05-43-46/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0
      wren_2:
        target: training.dataset_tool.SeedV1Dataset
        path: "hdfs://harunasg/home/byte_icvg_aigc_cp/user/video/temp/19900101/packed/vae-1011/wren/2024-10-11-04-46-40/data"
        aspect_ratios:
          "320p-2.4": [768, 320]
          "384p-2.0": [768, 384]
          "512p-1.5": [768, 512]
          "448p-1.29": [576, 448]
          "512p-1.0": [512, 512]
          "448p-0.78": [448, 576]
          "512p-0.67": [512, 768]
          "384p-0.5": [384, 768]
          "320p-0.42": [320, 768]
        ratio_strategy: random
        params:
          sample_size: -1 # set to -1 to keep the original resolution
          fps: 24
          num_parallel_files: 2
          video_frame_sampler:
            type: 'adaptive_advanced'
            strategies:
              - stride: 2
                stride_prob: 1.0
                frame_lengths: [ 17 ]
                frame_lengths_prob: 'harmonic'
            clip: 'uniform'
          text_sampler:
            type: 'frequency'
            frequency:
              recaption_7B_: 1.0
              origin_title: 0.0