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--- |
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language: |
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- en |
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license_name: cc-by-4.0 |
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license_link: https://creativecommons.org/licenses/by/4.0/legalcode |
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tags: |
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- coco |
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- mscoco |
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- simple-english |
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annotations_creators: |
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- machine-generated |
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pretty_name: MS COCO Karpathy in Simple English |
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size_categories: |
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- n<650k |
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source_datasets: |
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- mscoco |
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task_categories: |
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- text-generation |
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- image-to-text |
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- text-to-image |
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--- |
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# Dataset Card for MS COCO Karpathy in Simple English |
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This dataset contains captions that were rephrased into simple english so that a young child would understand it. |
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## Dataset Details |
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### Dataset Description |
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- **Curated by:** {{ curators | default("[More Information Needed]", true)}} |
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- **Language(s) (NLP):** {{ language | default("[More Information Needed]", true)}} |
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- **License:** {{ license | default("[More Information Needed]", true)}} |
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### Dataset Sources |
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The processed [MS COCO datasets](https://cocodataset.org/#download) (Karpathy Split) in this repo are based on the following sources: |
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| Type | MD5 | URL | |
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|------------|----------------------------------|-----------------------------------------------------------------------------------------------| |
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| Train | aa31ac474cf6250ebb81d18348a07ed8 | https://storage.googleapis.com/sfr-vision-language-research/datasets/coco_karpathy_train.json | |
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| Validation | b273847456ef5580e33713b1f7de52a0 | https://storage.googleapis.com/sfr-vision-language-research/datasets/coco_karpathy_val.json | |
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| Test | 3ff34b0ef2db02d01c37399f6a2a6cd1 | https://storage.googleapis.com/sfr-vision-language-research/datasets/coco_karpathy_test.json | |
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MS COCO: |
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- **Download:** https://cocodataset.org/#download |
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- **Paper:** http://arxiv.org/abs/1405.0312 |
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## Dataset Creation |
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This dataset was generated by processing the annotations via [Mistal7B](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-AWQ). |
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Prompt used: |
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``` |
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Rewrite the sentence " + caption + " for a 3 to 4 year old child. Give only one simple sentence. Don't use the word see. Give only a single answer. |
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``` |
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A filter was applied to only store captions which matched the common output format. A best effort filter was applied to reduce the chance of including multiple example sentences in the output. |
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### Curation Rationale |
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This dataset is useful for experiments with small LLMs which have only a reduced corpus. The dataset is suitable to be used for LAVIS experiments (QFormer Training) with a finetuned TinyStories 33M LLM. |
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