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README.md

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+# Price tag extraction dataset
+
+This dataset contains images of price tags extracted from the Open Prices dataset, along with information extracted from this dataset.
+It is intended to be used to train large visual language models (LVLMs) to extract information from price tag images, as part of the [Open Prices project](https://prices.openfoodfacts.org/).
+
+For more information about the format of this dataset, please refer to the documentation on [`llm-image-extraction` datasets](https://openfoodfacts.github.io/robotoff/references/datasets/llm-image-extraction).
+
+## Dataset creation
+
+A detailed report of the dataset creation process can be found in [this report](https://github.com/openfoodfacts/openfoodfacts-ai/blob/develop/docs/reports/2025-12-price-tag-extraction.md). We briefly summarize the steps here.
+
+~50,000 price tag images were extracted from the Open Prices dataset, with a focus on the distribution of the countries represented in the dataset.
+We ensured no price tag image was also part of the [price-tag-extraction benchmark v2.0](https://github.com/openfoodfacts/openfoodfacts-ai/blob/llm-evals-price-tags-ds-v2.0/llm-evals/llm_evals/tasks/prices/price_tag_extraction/dataset.yaml).
+
+We then used Google Gemini 3 Flash with thinking configuration set to `MINIMAL` to extract the relevant information from the price tag images.
+
+## Versions
+
+- **v1.0**: Initial version of the dataset, created in December 2025.
+- **v1.1**: Updated version of the dataset, with `origins` and `category` fields fixed. See the report for additional details.
+
+## Acknowledgements
+
+This project was funded by the NLnet Foundation as part of the [NGI0 Commons Funds](https://nlnet.nl/project/OpenPrices/). Many thanks to them for their support!