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- ---
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- license: cc-by-4.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: cc-by-4.0
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+ language:
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+ - en
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+ pretty_name: PhotoChat++
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+ size_categories:
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+ - n<1K
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+ multilinguality:
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+ - monolingual
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+ annotation_creators:
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+ - crowd-sourced
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+ tags:
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+ - multi-modal dialogue
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+ source_datasets:
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+ - PhotoChat
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+ task_ids:
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+ - conversational
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+ task_categories:
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+ - text-to-image
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+ - image-to-text
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+ splits:
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+ - name: train
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+ num_examples: 968
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+ dataset_size: 968
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+ ---
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+ # Dataset Card for PhotoChat++
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+
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+ ## Dataset Description
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+ - **Repository:** [Code](https://github.com/passing2961/DribeR)
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+ - **Paper:** [Large Language Models can Share Images, Too!](https://arxiv.org/abs/2310.14804)
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+ - **Point of Contact:** [Young-Jun Lee](mailto:[email protected])
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+
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+ ## Dataset Summary
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+ PhotoChat++ is a publicly available multi-modal dialogue dataset, an extended version of [PhotoChat](https://arxiv.org/abs/2108.01453). PhotoChat++ contains six intent labels, a triggering sentence, an image description, and salient information (e.g., “words” or “phrases”) to invoke the image-sharing behavior. The purpose of this dataset is to thoroughly assess the image-sharing capability of LLMs based on humans' internal operating systems.
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+
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+ ## Languages
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+ English
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+
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+ ## Dataset Structure
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+
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+ field | type | description
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+ --- | --- | ---
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+ `dialogue_id` | str | the identifier for the dialogue, containing the original dialogue identifier from PhotoChat
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+ `dialogue` | list of dict | the dialogue, where each dict entry includes {message, share_photo, user_id} (from PhotoChat)
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+ `photo_id` | str | the identifier for the photo (from PhotoChat)
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+ `photo_url` | str | the URL for the photo (from PhotoChat)
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+ `photo_description` | str | the description of the photo (from PhotoChat)
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+ `intents` | list of str | all intents annotated from crowd-sourcing
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+ `trigger_sentences` | list of str | all triggering sentences that invoke the image-sharing behavior, annotated from crowd-sourcing
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+ `image_descriptions` | list of str | all image descriptions annotated from crowd-sourcing, which are different from the `photo_description` field
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+ `salient_information` | list of str | all salient information (e.g., word or phrase) annotated from crowd-sourcing
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+
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+
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+ ## Dataset Creation
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+
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+ We create PhotoChat++ dataset via crowd-sourcing.
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+
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+ ### Further Details, Social Impacts, and Limitations
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+ Please refer to our [paper](https://arxiv.org/abs/2310.14804).
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+
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+ ## Limitations
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+
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+ Please refer to the Limitation section in our [paper](https://arxiv.org/abs/2310.14804).
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+
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+ ### Recommendations
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+
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+ Since PhotoChat++ is constructed via crowd-sourcing based on dialogues from the PhotoChat dataset, which is licensed under the CC BY 4.0 International license, PhotoChat++ is shared under the same CC BY 4.0 International license. Therefore, following this license, it is possible to use the PhotoChat++ dataset for commercial purposes. However, we strongly recommend using our dataset for academic and research purposes.
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+
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+ ### Citation
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+
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+ Please cite our work if you find the resources in this repository useful:
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+ ```
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+ TBD
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+ ```