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Datasets:
Daemontatox
/
image_captions

Tasks:
Text-to-Image
Image-to-Text
Languages:
English
Tags:
Synthetic
Dataset card Data Studio Files Community
Daemontatox takarajordan commited on
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Duplicate from takara-ai/image_captions

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Co-authored-by: Jordan Legg <[email protected]>

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+ *.tar.* filter=lfs diff=lfs merge=lfs -text
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+ *.zst filter=lfs diff=lfs merge=lfs -text
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+ *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ # Audio files - uncompressed
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+ *.pcm filter=lfs diff=lfs merge=lfs -text
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+ *.sam filter=lfs diff=lfs merge=lfs -text
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+ *.raw filter=lfs diff=lfs merge=lfs -text
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+ *.ogg filter=lfs diff=lfs merge=lfs -text
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+ *.wav filter=lfs diff=lfs merge=lfs -text
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+ # Image files - uncompressed
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+ *.bmp filter=lfs diff=lfs merge=lfs -text
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+ *.gif filter=lfs diff=lfs merge=lfs -text
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+ *.png filter=lfs diff=lfs merge=lfs -text
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+ *.tiff filter=lfs diff=lfs merge=lfs -text
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+ # Image files - compressed
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+ *.jpg filter=lfs diff=lfs merge=lfs -text
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+ *.jpeg filter=lfs diff=lfs merge=lfs -text
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+ *.webp filter=lfs diff=lfs merge=lfs -text
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README.md ADDED
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+ ---
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+ dataset_info:
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+ features:
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+ - name: image
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+ dtype: image
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+ - name: caption
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+ dtype: string
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+ splits:
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+ - name: train
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+ num_bytes: 316862569250.04
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+ num_examples: 1074164
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+ download_size: 310695026221
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+ dataset_size: 316862569250.04
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: data/train-*
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+ task_categories:
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+ - text-to-image
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+ - image-to-text
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+ language:
23
+ - en
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+ tags:
25
+ - synthetic
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+
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+ ---
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+ <img src="https://takara.ai/images/logo-24/TakaraAi.svg" width="200" alt="Takara.ai Logo" />
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+ From the Frontier Research Team at takara.ai we present over 1 million curated captioned images for multimodal text and image tasks.
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+
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+ ---
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+
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+ ## Usage
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+ ```python
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+ from datasets import load_dataset
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+
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+
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+ ds = load_dataset("takara-ai/image_captions")
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+
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+ print(ds)
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+ ```
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+ ---
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+ ## Example
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+ <figure>
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+ <img src="https://huggingface.co/datasets/takara-ai/image_captions/resolve/main/media/image_grid_compressed.jpg" alt="Alternative text">
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+ <figcaption>10,000 images from the dataset.</figcaption>
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+ </figure>
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+
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+ ## Methodology
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+ We consolidated multiple open source datasets through an intensive 96-hour computational process across three nodes. This involved standardizing and validating the data through extensive cleaning and normalization. The resulting dataset features embedded PIL images rather than URLs, improving accessibility while reducing dependency on source websites.
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+
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+ ---
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+ For research inquiries and press, please reach out to [email protected]
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+
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+ > 人類を変革する
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