--- dataset_info: - config_name: ar features: - name: query dtype: string - name: image dtype: image - name: image_filename dtype: string - name: text_description dtype: string splits: - name: test num_bytes: 358115965.0 num_examples: 1000 download_size: 355256601 dataset_size: 358115965.0 - config_name: de features: - name: query dtype: string - name: image dtype: image - name: image_filename dtype: string - name: text_description dtype: string splits: - name: test num_bytes: 414225097.0 num_examples: 1000 download_size: 411658166 dataset_size: 414225097.0 - config_name: en features: - name: query dtype: string - name: image dtype: image - name: image_filename dtype: string - name: text_description dtype: string splits: - name: test num_bytes: 352559065.0 num_examples: 1000 download_size: 349953608 dataset_size: 352559065.0 - config_name: es features: - name: query dtype: string - name: image dtype: image - name: image_filename dtype: string - name: text_description dtype: string splits: - name: test num_bytes: 428526401.0 num_examples: 1000 download_size: 425969943 dataset_size: 428526401.0 - config_name: fr features: - name: query dtype: string - name: image dtype: image - name: image_filename dtype: string - name: text_description dtype: string splits: - name: test num_bytes: 419495198.0 num_examples: 1000 download_size: 417032320 dataset_size: 419495198.0 - config_name: hi features: - name: query dtype: string - name: image dtype: image - name: image_filename dtype: string - name: text_description dtype: string splits: - name: test num_bytes: 343236061.0 num_examples: 1000 download_size: 339413319 dataset_size: 343236061.0 - config_name: hu features: - name: query dtype: string - name: image dtype: image - name: image_filename dtype: string - name: text_description dtype: string splits: - name: test num_bytes: 407522469.0 num_examples: 1000 download_size: 404881151 dataset_size: 407522469.0 - config_name: jp features: - name: query dtype: string - name: image dtype: image - name: image_filename dtype: string - name: text_description dtype: string splits: - name: test num_bytes: 376609756.0 num_examples: 1000 download_size: 374641243 dataset_size: 376609756.0 - config_name: ru features: - name: query dtype: string - name: image dtype: image - name: image_filename dtype: string - name: text_description dtype: string splits: - name: test num_bytes: 423288286.0 num_examples: 1000 download_size: 420031968 dataset_size: 423288286.0 - config_name: zh features: - name: query dtype: string - name: image dtype: image - name: image_filename dtype: string - name: text_description dtype: string splits: - name: test num_bytes: 323274829.0 num_examples: 1000 download_size: 320998789 dataset_size: 323274829.0 configs: - config_name: ar data_files: - split: test path: ar/test-* - config_name: de data_files: - split: test path: de/test-* - config_name: en data_files: - split: test path: en/test-* - config_name: es data_files: - split: test path: es/test-* - config_name: fr data_files: - split: test path: fr/test-* - config_name: hi data_files: - split: test path: hi/test-* - config_name: hu data_files: - split: test path: hu/test-* - config_name: jp data_files: - split: test path: jp/test-* - config_name: ru data_files: - split: test path: ru/test-* - config_name: zh data_files: - split: test path: zh/test-* --- # AirBnB Chart Retrieval This dataset is created from the original Kaggle [New York City Airbnb Open Data dataset](https://www.kaggle.com/datasets/dgomonov/new-york-city-airbnb-open-data). The tables are rendered and queries created using templates. The `text_description` column contains OCR text extracted from the images using EasyOCR. This particular dataset is a subsample of at maximum 1000 random rows per language from the full dataset which can be found [here](https://huggingface.co/datasets/jinaai/airbnb-synthetic). # Disclaimer This dataset may contain publicly available images or text data. All data is provided for research and educational purposes only. If you are the rights holder of any content and have concerns regarding intellectual property or copyright, please contact us at "support-data (at) jina.ai" for removal. We do not collect or process personal, sensitive, or private information intentionally. If you believe this dataset includes such content (e.g., portraits, location-linked images, medical or financial data, or NSFW content), please notify us, and we will take appropriate action. # Copyright All rights are reserved to the original authors of the documents.