Datasets:
Formats:
json
Sub-tasks:
conversational
Languages:
English
Size:
< 1K
ArXiv:
Tags:
multi-modal dialogue
License:
passing2961
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README.md
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---
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license: cc-by-4.0
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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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## 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:yj2961@kaist.ac.kr)
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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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## Languages
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English
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## Dataset Structure
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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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## Dataset Creation
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We create PhotoChat++ dataset via crowd-sourcing.
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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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## Limitations
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Please refer to the Limitation section in our [paper](https://arxiv.org/abs/2310.14804).
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### Recommendations
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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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### Citation
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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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```
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