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--- |
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license: cc-by-4.0 |
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dataset_info: |
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features: |
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- name: text |
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dtype: string |
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- name: image |
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dtype: image |
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splits: |
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- name: train |
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num_bytes: 282285477 |
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num_examples: 10000 |
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- name: test |
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num_bytes: 56612023.875 |
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num_examples: 2001 |
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download_size: 320681179 |
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dataset_size: 338897500.875 |
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task_categories: |
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- text-to-image |
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multilinguality: |
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- monolingual |
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language: |
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- de |
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size_categories: |
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- 1K<n<10K |
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source_datasets: |
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- original |
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pretty_name: Fashion12k DE |
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--- |
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<br><br> |
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<p align="center"> |
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<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"> |
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</p> |
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<p align="center"> |
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<b>The data offered by Jina AI, Finetuner team.</b> |
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</p> |
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## Summary |
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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. |
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This dataset was used to to finetuner CLIP using the [Finetuner](https://finetuner.jina.ai/) tool. |
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## Fine-tuning |
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Please refer to our documentation: [Multilingual Text-to-Image Search with MultilingualCLIP](https://finetuner.jina.ai/notebooks/multilingual_text_to_image/) |
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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/) |
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## Instances |
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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. |
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## Fields |
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- 'text': A string describing the item of clothing. |
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- '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]. |
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## Splits |
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| | train | test | |
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|------------|-------|------| |
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| # of items | 10000 | 2001 | |
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## Source |
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Images were sampled from the [Fashion200K dataset](https://github.com/xthan/fashion-200k). |
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## Annotations |
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Data was annotated using [Toloka](https://toloka.ai/). See their site for more details. |
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## Licensing Information |
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This work is licensed under a Creative Commons Attribution 4.0 International License. |
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## Contributors |
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Thanks to contributors from [Jina AI](https://jina.ai) and [Toloka](https://toloka.ai) for adding this dataset. |
