## Bonafide.ai *Hospitality* Dataset Welcome to the Bonafide.ai Hospitality Dataset! This dataset is part of the [Bonafide.ai](https://Bonafide.ai) *Interrogator* project, which evaluates a select group of public-facing LLM models, derivative travel apps, and LLM agents on their ability to accurately answer simple ternary questions about commonly available products and services. This data set focuses on travel hospitality (hotels, motels, lodgings, etc.) ## Project Overview The *Interrogator* project aims to provide model and application developers, users, and commercial enterprises with insights into how products and services are represented int the generative AI ecosystem. The intent of providing this data set here is to allow model and app developers to have an easy to use evaluation data set for understanding the accuracy of there model development efforts. [Bonafide.ai](https://Bonafide.ai) is providing this vendor-validated data, so that consumers receive accurate and reliable information about the goods and services they are inquiring about. ## Dataset Description This dataset contains evaluation data collected directly from service providers or, in some cases, from industry-standard sources. Our goal is to make this data as accurate as possible through rigorous field collection methods. However, occasional inaccuracies may occur. The dataset consists of the following columns: - `bonafide_id`: A unique identifier for the property. - `property_name`: The name of the property. - `address`: The address of the property. - `city`: The city where the property is located. - `state`: The state where the property is located. - `country`: The country where the property is located. - `feature_name`: The name of the feature or service offered by the property. - `feature_type`: The category or type of the feature. - `prompt`: LLM prompt regarding the presence of the feature. - `expected_answer`: The expected answer (Yes/No) to the prompt. ### Example Rows | bonafide_id | property_name | address | city | state | country | feature_name | feature_type | prompt | expected_answer | | ------------------------- | ----------------------------------- | -------------------- | -------- | ----- | ------- | --------------------------------------- | ---------------------------- | -------------------------------------------------------------------------------------- | --------------- | | HO-00005-US-AZ-D0E19AFB-8 | residence inn phoenix west avondale | 11410 west hotel way | Avondale | AZ | US | Parking facilities | Transportation Services | Does residence inn phoenix west avondale have Parking facilities? | Yes | | HO-00005-US-AZ-D0E19AFB-8 | residence inn phoenix west avondale | 11410 west hotel way | Avondale | AZ | US | High-speed internet in common areas | Business Services | Does residence inn phoenix west avondale have High-speed internet in common areas? | Yes | | HO-00005-US-AZ-D0E19AFB-8 | residence inn phoenix west avondale | 11410 west hotel way | Avondale | AZ | US | Meeting rooms and conference facilities | Meeting and Event Spaces | Does residence inn phoenix west avondale have Meeting rooms and conference facilities? | Yes | | HO-00005-US-AZ-D0E19AFB-8 | residence inn phoenix west avondale | 11410 west hotel way | Avondale | AZ | US | Laundry and dry-cleaning services | Additional Services | Does residence inn phoenix west avondale have Laundry and dry-cleaning services? | Yes | | HO-00005-US-AZ-D0E19AFB-8 | residence inn phoenix west avondale | 11410 west hotel way | Avondale | AZ | US | 24-hour front desk | Reception and Guest Services | Does residence inn phoenix west avondale have a 24-hour front desk? | Yes | ### Usage This dataset can be used for various tasks such as: - Evaluating LLMs, derivative applications, and agents for providing accurate information about travel hospitality locations. - Training machine learning models to recognize and verify property features/amenities. - Natural language processing (NLP) tasks related to question-answering systems. - Creating, improving, or validating a service provider's property management system(s). ## Purpose The primary objective of the Bonafide.ai Hospitality Dataset is to ensure that all components of the generative AI ecosystem provide accurate information. This helps build consumer confidence in the information provided through generative AI technologies. For more information, please visit Bonafide.ai. ## License This dataset is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0). ## Citation [Bonafide.ai](https://bonafide.ai) (c) 2024. *Hospitality Dataset**. ## Contact For any questions or issues, please reach out at contact@bonafide.ai