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---
language:
- en
license_name: cc-by-4.0
license_link: https://creativecommons.org/licenses/by/4.0/legalcode
tags:
- coco
- mscoco
- simple-english
annotations_creators:
- machine-generated
pretty_name: MS COCO Karpathy in Simple English
size_categories:
- n<650k
source_datasets:
- mscoco
task_categories:
- text-generation
- image-to-text
- text-to-image
---
# Dataset Card for MS COCO Karpathy in Simple English
This dataset contains captions that were rephrased into simple english so that a young child would understand it.
## Dataset Details
### Dataset Description
- **Curated by:** {{ curators | default("[More Information Needed]", true)}}
- **Language(s) (NLP):** {{ language | default("[More Information Needed]", true)}}
- **License:** {{ license | default("[More Information Needed]", true)}}
### Dataset Sources
The processed [MS COCO datasets](https://cocodataset.org/#download) (Karpathy Split) in this repo are based on the following sources:
| Type | MD5 | URL |
|------------|----------------------------------|-----------------------------------------------------------------------------------------------|
| Train | aa31ac474cf6250ebb81d18348a07ed8 | https://storage.googleapis.com/sfr-vision-language-research/datasets/coco_karpathy_train.json |
| Validation | b273847456ef5580e33713b1f7de52a0 | https://storage.googleapis.com/sfr-vision-language-research/datasets/coco_karpathy_val.json |
| Test | 3ff34b0ef2db02d01c37399f6a2a6cd1 | https://storage.googleapis.com/sfr-vision-language-research/datasets/coco_karpathy_test.json |
MS COCO:
- **Download:** https://cocodataset.org/#download
- **Paper:** http://arxiv.org/abs/1405.0312
## Dataset Creation
This dataset was generated by processing the annotations via [Mistal7B](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-AWQ).
Prompt used:
```
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.
```
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.
### Curation Rationale
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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