task_categories:text-to-image multilinguality:monolingual size_categories:1K<n<10K source_datasets:original language:de license:cc-by-4.0 region:us
---
license: cc-by-4.0
dataset_info:
  features:
  - name: text
    dtype: string
  - name: image
    dtype: image
  splits:
  - name: train
    num_bytes: 282285477
    num_examples: 10000
  - name: test
    num_bytes: 56612023.875
    num_examples: 2001
  download_size: 320681179
  dataset_size: 338897500.875
task_categories:
- text-to-image
multilinguality:
- monolingual
language:
- de
size_categories:
- 1K<n<10K
source_datasets:
- original
pretty_name: Fashion12k DE
---

<br><br>

<p align="center">
<img src="https://github.com/jina-ai/finetuner/blob/main/docs/_static/finetuner-logo-ani.svg?raw=true" alt="Finetuner logo: Finetuner helps you to create experiments in order to improve embeddings on search tasks. It accompanies you to deliver the last mile of performance-tuning for neural search applications." width="150px">
</p>


<p align="center">
<b>The data offered by Jina AI, Finetuner team.</b>
</p>

## Summary

This dataset is a German-language dataset based on the [Fashion12K](https://github.com/Toloka/Fashion12K_german_queries) dataset, which originally contains both English and German text descriptions for each item.
This dataset was used to to finetuner CLIP using the [Finetuner](https://finetuner.jina.ai/) tool.

## Fine-tuning

Please refer to our documentation: [Multilingual Text-to-Image Search with MultilingualCLIP](https://finetuner.jina.ai/notebooks/multilingual_text_to_image/)
and blog [Improving Search Quality for Non-English Queries with Fine-tuned Multilingual CLIP Models](https://jina.ai/news/improving-search-quality-non-english-queries-fine-tuned-multilingual-clip-models/)

## Instances

Each data point consists of a 'text' and an 'image' field, where the 'text' field describes an item of clothing in German, and the 'image' field contains and image of that item of clothing.

## Fields

- 'text': A string describing the item of clothing.
- 'image': A `PIL.Image.Image` object containing the image. Note that when accessing the image column: `dataset[0]["image"]` the image file is automatically decoded. Decoding of a large number of image files might take a significant amount of time. Thus it is important to first query the sample index before the "image" column, i.e. `dataset[0]["image"]` should always be preferred over dataset["image"][0].

## Splits

|            | train | test |
|------------|-------|------|
| # of items | 10000 | 2001 |


## Source

Images were sampled from the [Fashion200K dataset](https://github.com/xthan/fashion-200k).

## Annotations

Data was annotated using [Toloka](https://toloka.ai/). See their site for more details.

## Licensing Information

This work is licensed under a Creative Commons Attribution 4.0 International License.

## Contributors

Thanks to contributors from [Jina AI](https://jina.ai) and [Toloka](https://toloka.ai) for adding this dataset.