Datasets:
Languages:
English
Size:
1K<n<10K
ArXiv:
Tags:
iiw
imageinwords
image-descriptions
image-captions
detailed-descriptions
hyper-detailed-descriptions
License:
Commit
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Parent(s):
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Update README.md
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README.md
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ImageInWords (IIW), a carefully designed human-in-the-loop annotation framework for curating hyper-detailed image descriptions and a new dataset resulting from this process.
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We validate the framework through evaluations focused on the quality of the dataset and its utility for fine-tuning with considerations for readability, comprehensiveness, specificity, hallucinations, and human-likeness.
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This Data Card describes a mixture of human annotated and machine generated data intended to help create and capture rich, hyper-detailed image descriptions.
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IIW dataset has two parts: human annotations and model outputs. The main purposes of this dataset are:
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1) to provide samples from SoTA human authored outputs to promote discussion on annotation guidelines to further improve the quality
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For details on the datasets and output keys, please refer to our [GitHub data](https://github.com/google/imageinwords/tree/main/datasets) page inside the individual folders.
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IIW:
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- `image/key`
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- `image/url`
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- `IIW`: Human generated image description
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- metrics/First few line(s) as tldr
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- metrics/Human Like
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- `image`
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- `image/url`
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- `ex_id`
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- `metrics/First few line(s) as tldr`
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- `metrics/Human Like`
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- `image`
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- `image/thumbnail_url`
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- `IIW`: Human generated image description
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- `metrics/First few line(s) as tldr`
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- `metrics/Human Like`
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- `image/key`
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- `image/url`
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- `IIW-P5B`: Machine generated image description
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- `image/key`
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- `image/url`
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- `IIW-P5B`: Machine generated image description
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ImageInWords (IIW), a carefully designed human-in-the-loop annotation framework for curating hyper-detailed image descriptions and a new dataset resulting from this process.
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We validate the framework through evaluations focused on the quality of the dataset and its utility for fine-tuning with considerations for readability, comprehensiveness, specificity, hallucinations, and human-likeness.
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This Data Card describes `IIW-Benchmark: Eval Datasets`, a mixture of human annotated and machine generated data intended to help create and capture rich, hyper-detailed image descriptions.
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IIW dataset has two parts: human annotations and model outputs. The main purposes of this dataset are:
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1) to provide samples from SoTA human authored outputs to promote discussion on annotation guidelines to further improve the quality
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For details on the datasets and output keys, please refer to our [GitHub data](https://github.com/google/imageinwords/tree/main/datasets) page inside the individual folders.
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IIW-400:
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- `image/key`
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- `image/url`
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- `IIW`: Human generated image description
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- metrics/First few line(s) as tldr
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- metrics/Human Like
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DCI_Test:
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- `image`
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- `image/url`
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- `ex_id`
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- `metrics/First few line(s) as tldr`
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- `metrics/Human Like`
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DOCCI_Test:
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- `image`
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- `image/thumbnail_url`
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- `IIW`: Human generated image description
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- `metrics/First few line(s) as tldr`
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- `metrics/Human Like`
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LocNar_Eval:
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- `image/key`
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- `image/url`
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- `IIW-P5B`: Machine generated image description
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CM3_600:
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- `image/key`
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- `image/url`
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- `IIW-P5B`: Machine generated image description
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