|
--- |
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dataset_info: |
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- config_name: multi_image_datasets_AESOP(m4-instruct,llava_format) |
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features: |
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num_examples: 40 |
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download_size: 5873935 |
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dataset_size: 6143751.0 |
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- config_name: multi_image_datasets_CLEVR-Change(m4-instruct,llava_format) |
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num_examples: 40 |
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download_size: 14994326 |
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dataset_size: 15005599.0 |
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- config_name: multi_image_datasets_COMICS_Dialogue(m4-instruct,llava_format) |
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num_examples: 40 |
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- config_name: multi_image_datasets_DocVQA(m4-instruct,llava_format) |
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num_examples: 40 |
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download_size: 49023061 |
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dataset_size: 50860263.0 |
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- config_name: multi_image_datasets_Flintstones(m4-instruct,llava_format) |
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features: |
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download_size: 5950206 |
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dataset_size: 5959276.0 |
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- config_name: multi_image_datasets_IEdit(m4-instruct,llava_format) |
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num_examples: 40 |
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download_size: 3149748 |
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dataset_size: 3154768.0 |
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- config_name: multi_image_datasets_MIT-States_PropertyCoherence(m4-instruct,llava_format) |
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download_size: 1466262 |
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- config_name: multi_image_datasets_MIT-States_StateCoherence(m4-instruct,llava_format) |
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features: |
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num_bytes: 2046395.0 |
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num_examples: 40 |
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download_size: 1954428 |
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dataset_size: 2046395.0 |
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- config_name: multi_image_datasets_OCR-VQA(m4-instruct,llava_format) |
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features: |
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splits: |
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- name: train |
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num_bytes: 4492663.0 |
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num_examples: 40 |
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download_size: 4484114 |
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dataset_size: 4492663.0 |
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- config_name: multi_image_datasets_PororoSV(m4-instruct,llava_format) |
|
features: |
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num_examples: 40 |
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download_size: 5443514 |
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dataset_size: 5440149.0 |
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- config_name: multi_image_datasets_RecipeQA_ImageCoherence(m4-instruct,llava_format) |
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num_examples: 40 |
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download_size: 3533300 |
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dataset_size: 3559417.0 |
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- config_name: multi_image_datasets_RecipeQA_VisualCloze(m4-instruct,llava_format) |
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download_size: 3222977 |
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dataset_size: 3246251.0 |
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- config_name: multi_image_datasets_TQA(m4-instruct,llava_format) |
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num_examples: 40 |
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download_size: 30682883 |
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dataset_size: 46775870.0 |
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- config_name: multi_image_datasets_VISION(m4-instruct,llava_format) |
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download_size: 25204357 |
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dataset_size: 27831052.0 |
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- config_name: multi_image_datasets_VIST(m4-instruct,llava_format) |
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features: |
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download_size: 11131816 |
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dataset_size: 11136915.0 |
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- config_name: multi_image_datasets_alfred(m4-instruct,llava_format) |
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features: |
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num_examples: 40 |
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download_size: 2264739 |
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dataset_size: 2272866.0 |
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- config_name: multi_image_datasets_birds-to-words(m4-instruct,llava_format) |
|
features: |
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dtype: string |
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download_size: 6289105 |
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dataset_size: 6879966.0 |
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- config_name: multi_image_datasets_nuScenes(m4-instruct,llava_format) |
|
features: |
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- name: id |
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dtype: string |
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num_examples: 40 |
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download_size: 28974516 |
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dataset_size: 29739202.0 |
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- config_name: multi_image_datasets_spot-the-diff(m4-instruct,llava_format) |
|
features: |
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- name: id |
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dtype: string |
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splits: |
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num_bytes: 7723289.0 |
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num_examples: 40 |
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download_size: 7722583 |
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dataset_size: 7723289.0 |
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- config_name: multi_image_datasets_vizwiz(m4-instruct,llava_format) |
|
features: |
|
- name: id |
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dtype: string |
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splits: |
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num_examples: 40 |
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download_size: 36738069 |
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dataset_size: 36819814.0 |
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- config_name: multi_image_datasets_webqa(m4-instruct,llava_format) |
|
features: |
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dtype: string |
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download_size: 11155037 |
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dataset_size: 11166036.0 |
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- config_name: wit |
|
features: |
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dtype: string |
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splits: |
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|
num_bytes: 100886747.0 |
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num_examples: 40 |
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download_size: 100875512 |
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dataset_size: 100886747.0 |
|
configs: |
|
- config_name: multi_image_datasets_AESOP(m4-instruct,llava_format) |
|
data_files: |
|
- split: train |
|
path: multi_image_datasets_AESOP(m4-instruct,llava_format)/train-* |
|
- config_name: multi_image_datasets_CLEVR-Change(m4-instruct,llava_format) |
|
data_files: |
|
- split: train |
|
path: multi_image_datasets_CLEVR-Change(m4-instruct,llava_format)/train-* |
|
- config_name: multi_image_datasets_COMICS_Dialogue(m4-instruct,llava_format) |
|
data_files: |
|
- split: train |
|
path: multi_image_datasets_COMICS_Dialogue(m4-instruct,llava_format)/train-* |
|
- config_name: multi_image_datasets_DocVQA(m4-instruct,llava_format) |
|
data_files: |
|
- split: train |
|
path: multi_image_datasets_DocVQA(m4-instruct,llava_format)/train-* |
|
- config_name: multi_image_datasets_Flintstones(m4-instruct,llava_format) |
|
data_files: |
|
- split: train |
|
path: multi_image_datasets_Flintstones(m4-instruct,llava_format)/train-* |
|
- config_name: multi_image_datasets_IEdit(m4-instruct,llava_format) |
|
data_files: |
|
- split: train |
|
path: multi_image_datasets_IEdit(m4-instruct,llava_format)/train-* |
|
- config_name: multi_image_datasets_MIT-States_PropertyCoherence(m4-instruct,llava_format) |
|
data_files: |
|
- split: train |
|
path: multi_image_datasets_MIT-States_PropertyCoherence(m4-instruct,llava_format)/train-* |
|
- config_name: multi_image_datasets_MIT-States_StateCoherence(m4-instruct,llava_format) |
|
data_files: |
|
- split: train |
|
path: multi_image_datasets_MIT-States_StateCoherence(m4-instruct,llava_format)/train-* |
|
- config_name: multi_image_datasets_OCR-VQA(m4-instruct,llava_format) |
|
data_files: |
|
- split: train |
|
path: multi_image_datasets_OCR-VQA(m4-instruct,llava_format)/train-* |
|
- config_name: multi_image_datasets_PororoSV(m4-instruct,llava_format) |
|
data_files: |
|
- split: train |
|
path: multi_image_datasets_PororoSV(m4-instruct,llava_format)/train-* |
|
- config_name: multi_image_datasets_RecipeQA_ImageCoherence(m4-instruct,llava_format) |
|
data_files: |
|
- split: train |
|
path: multi_image_datasets_RecipeQA_ImageCoherence(m4-instruct,llava_format)/train-* |
|
- config_name: multi_image_datasets_RecipeQA_VisualCloze(m4-instruct,llava_format) |
|
data_files: |
|
- split: train |
|
path: multi_image_datasets_RecipeQA_VisualCloze(m4-instruct,llava_format)/train-* |
|
- config_name: multi_image_datasets_TQA(m4-instruct,llava_format) |
|
data_files: |
|
- split: train |
|
path: multi_image_datasets_TQA(m4-instruct,llava_format)/train-* |
|
- config_name: multi_image_datasets_VISION(m4-instruct,llava_format) |
|
data_files: |
|
- split: train |
|
path: multi_image_datasets_VISION(m4-instruct,llava_format)/train-* |
|
- config_name: multi_image_datasets_VIST(m4-instruct,llava_format) |
|
data_files: |
|
- split: train |
|
path: multi_image_datasets_VIST(m4-instruct,llava_format)/train-* |
|
- config_name: multi_image_datasets_alfred(m4-instruct,llava_format) |
|
data_files: |
|
- split: train |
|
path: multi_image_datasets_alfred(m4-instruct,llava_format)/train-* |
|
- config_name: multi_image_datasets_birds-to-words(m4-instruct,llava_format) |
|
data_files: |
|
- split: train |
|
path: multi_image_datasets_birds-to-words(m4-instruct,llava_format)/train-* |
|
- config_name: multi_image_datasets_nuScenes(m4-instruct,llava_format) |
|
data_files: |
|
- split: train |
|
path: multi_image_datasets_nuScenes(m4-instruct,llava_format)/train-* |
|
- config_name: multi_image_datasets_spot-the-diff(m4-instruct,llava_format) |
|
data_files: |
|
- split: train |
|
path: multi_image_datasets_spot-the-diff(m4-instruct,llava_format)/train-* |
|
- config_name: multi_image_datasets_vizwiz(m4-instruct,llava_format) |
|
data_files: |
|
- split: train |
|
path: multi_image_datasets_vizwiz(m4-instruct,llava_format)/train-* |
|
- config_name: multi_image_datasets_webqa(m4-instruct,llava_format) |
|
data_files: |
|
- split: train |
|
path: multi_image_datasets_webqa(m4-instruct,llava_format)/train-* |
|
- config_name: wit |
|
data_files: |
|
- split: train |
|
path: wit/train-* |
|
--- |
|
|
