Update README.md

README.md

@@ -56,41 +56,34 @@ This dataset was used to to finetuner CLIP using the [Finetuner](https://finetun
 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/)
 
-## Dataset Structure
-
-### Data Instances
+## 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.
 
-### Data Fields
+## 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].
+- '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].
 
-### Data Splits
+## Splits
 
 |            | train | test |
 |------------|-------|------|
 | # of items | 10000 | 2001 |
 
-### Source Data
 
-#### Initial Data Collection and Normalization
+## Source
 
 Images were sampled from the [Fashion200K dataset](https://github.com/xthan/fashion-200k).
 
-### Annotations
-
-#### Annotation process
+## Annotations
 
 Data was annotated using [Toloka](https://toloka.ai/). See their site for more details.
 
-## Additional Information
-
-### Licensing Information
+## Licensing Information
 
 This work is licensed under a Creative Commons Attribution 4.0 International License.
 
-### Contributions
+## Contributors
 
 Thanks to contributors from [Jina AI](https://jina.ai) and [Toloka](https://toloka.ai) for adding this dataset.