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This file ```prompts_for_human_evaluations.jsonl``` contains the 1,048 prompts used for evaluating Chameleon's output: 441 (42.1%) are mixed-modal (i.e., containing both text and images), and the remaining 607 (57.9%) are text-only. The expected responses are mixed-modal, containing both text and images.
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## Background
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We work with a third-party crowdsourcing vendor to collect a set of diverse and natural prompts from human annotators. Specifically, we ask annotators to creatively think about what they want a multi-modal model to generate for different real-life scenarios. For example, for the scenario of “imagine you are in a kitchen”, annotators may come up with prompts like “How to cook pasta?” or “How should I design the layout of my island? Show me some examples.” The prompts can be text-only or text with some images, and the expected responses should be mixed-modal, containing both text and images.
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After collecting an initial set of prompts, we ask three random annotators to evaluate whether the prompts are clear and whether they expect the responses to contain images. We use a majority vote to filter unclear prompts and prompts that don’t expect mixed-modal responses. In the end, our final evaluation set contains
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1,048 prompts: 441 (42.1%) are mixed-modal (i.e., containing both text and images), and the remaining 607 (57.9%) are text-only.
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More details on how these prompts are collected and some statistics can be found in the [paper](https://arxiv.org/pdf/2405.09818).
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## File format
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Each line of the file ```prompts_for_human_evaluations.jsonl``` defines a prompt, with the following fields:
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- ```id```: The GUID of this prompt.
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- ```prompt```: The prompt content. If the prompt contains images, then their position is given by the special ```<img>``` token.
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- ```task_type```: The task category of this prompt.
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- ```image_urls```: A list of the URLs of images used in the prompts. Each image maps to a special ```<img>``` token in the prompt by order.
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