Update README.md

README.md

@@ -1,8 +1,30 @@
 
-This dataset contains information about various features and services offered by different properties. Each entry includes the property's unique identifier, name, address, city, state, country, and specific features along with the type of service and a prompt to verify the presence of that feature.
+## 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.
@@ -16,7 +38,8 @@ The dataset consists of the following columns:
 - `prompt`: LLM prompt regarding the presence of the feature.
 - `expected_answer`: The expected answer (Yes/No) to the prompt.
 
-## Example Rows
+
+### Example Rows
 
 | bonafide_id               | property_name                       | address              | city     | state | country | feature_name                            | feature_type                 | prompt                                                                                 | expected_answer |
 | ------------------------- | ----------------------------------- | -------------------- | -------- | ----- | ------- | --------------------------------------- | ---------------------------- | -------------------------------------------------------------------------------------- | --------------- |
@@ -25,13 +48,24 @@ The dataset consists of the following columns:
 | 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
+
+### Usage
 
 This dataset can be used for various tasks such as:
 
-- Training machine learning models to recognize and verify property features.
+- 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 or improving hotel and property management 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
 
@@ -39,7 +73,7 @@ This dataset is licensed under the Creative Commons Attribution 4.0 Internationa
 
 ## Citation
 
-bonafide.ai 2024. Property Features Dataset.
+[Bonafide.ai](https://bonafide.ai) (c) 2024. *Hospitality Dataset**.
 
 ## Contact