Update README.md

README.md

@@ -40,14 +40,7 @@ The dataset is intended for research on personalized recommendation systems, in
 
 The dataset is split into three different files for each of the three domains: news, travel, and food for a total of 9 files. For each domain, there is one file containing all the information about the items that can be recommended `products.csv`, one file containing all the user information `users.csv`, and one file containing the interactions between users and the assistant `impressions.csv` (including the user requests and selections).
 
-The `*-products.csv` file contains the following columns:
-- `pid`: a unique identifier for the item
-- `title`: the title of the item (shown to the user)
-- `description`: a longer description of the item (shown to the user)
-- `thumbnail`: a URL to a thumbnail image of the item (shown to the user)
-- `category`: a category label for the item (not shown to the user)
-
-The `*-impressions.csv` file contains the following columns:
+The `[domain]-impressions.csv` contains three impressions (one for each round) per user:
 - `iid`: a unique identifier for the interaction
 - `user`: the user identifier
 - `round`: the round number of the interaction (1-3)
@@ -63,49 +56,34 @@ The `*-impressions.csv` file contains the following columns:
 - `good_request_match`: a 5-point scale rating of how well the recommendations matched the request
 - `good_summary_match`: a 5-point scale rating of how well the summary matched the feedback
 
-The `travel-users.csv` file contains the following columns:
-- `uid`: a unique identifier for the user
-- `source_types`: a list of categories selected by the user
-- `desc_sources`: a free-response description of how the user plans trips
-- `companions`: a list of companions the user prefers to travel with
-- `personalized`: a 5-point scale rating of how much the user values personalized recommendations
-- `explore`: a 5-point scale rating of how much the user values exploring new places
-- `desc_selection`: a free-response description of the user's selection process of travel destinations
-- `task_clear`: a 5-point scale rating of how clear the user found the task
-- `task_difficult`: a 5-point scale rating of how difficult the user found the task
-- `dialogue_helpful`: a 5-point scale rating of how helpful the user found the dialogue with the assistant
-- `recs_satisfied`: a 5-point scale rating of how satisfied the user was with the recommendations
-- `task_feedback`: a free-response description of the user's feedback on the task
-
-The `food-users.csv` file contains the following columns:
-- `uid`: a unique identifier for the user
-- `source_types`: a list of categories selected by the user
-- `desc_sources`: a free-response description of how the user plans meals
-- `companions`: a list of companions the user eats with or cooks for
-- `personalized`: a 5-point scale rating of how much the user values personalized recommendations
-- `explore`: a 5-point scale rating of how much the user values exploring new places
-- `desc_selection`: a free-response description of the user's selection process of meals
-- `task_clear`: a 5-point scale rating of how clear the user found the task
-- `task_difficult`: a 5-point scale rating of how difficult the user found the task
-- `dialogue_helpful`: a 5-point scale rating of how helpful the user found the dialogue with the assistant
-- `recs_satisfied`: a 5-point scale rating of how satisfied the user was with the recommendations
-- `task_feedback`: a free-response description of the user's feedback on the task
-
-The `news-users.csv` file contains the following columns:
-- `uid`: a unique identifier for the user
-- `source_types`: a list of categories selected by the user
-- `frequency`: a list of categories the user selected for the recommendations
-- `reasons`: a free-response description of why the user reads news
-- `desc_sources`: a free-response description of how the user reads news
-- `personalized`: a 5-point scale rating of how much the user values personalized recommendations
-- `explore`: a 5-point scale rating of how much the user values exploring new places
-- `demand`: a 5-point scale rating of how much the user would like to use a personalized AI assistant for news
-- `desc_selection`: a free-response description of the user's selection process of news articles
-- `task_clear`: a 5-point scale rating of how clear the user found the task
-- `task_difficult`: a 5-point scale rating of how difficult the user found the task
-- `dialogue_helpful`: a 5-point scale rating of how helpful the user found the dialogue with the assistant
-- `recs_satisfied`: a 5-point scale rating of how satisfied the user was with the recommendations
-- `task_feedback`: a free-response description of the user's feedback on the task
+The `[domain]-products.csv` file lists all items in a given domain:
+- `pid`: a unique identifier for the item
+- `title`: the title of the item (shown to the user)
+- `description`: a longer description of the item (shown to the user)
+- `thumbnail`: a URL to a thumbnail image of the item (shown to the user)
+- `category`: a category label for the item (not shown to the user)
+
+The `[domain]-users.csv` contains all static information about each user:
+- `uid`: a unique identifier for the user  
+- `source_types`: a list of categories selected by the user  
+- `desc_sources`: a free-response description of how the user engages with the domain  
+- `personalized`: a 5-point scale rating of how much the user values personalized recommendations  
+- `explore`: a 5-point scale rating of how much the user values exploring new places  
+- `desc_selection`: a free-response description of the user's selection process  
+- `task_clear`: a 5-point scale rating of how clear the user found the task  
+- `task_difficult`: a 5-point scale rating of how difficult the user found the task  
+- `dialogue_helpful`: a 5-point scale rating of how helpful the user found the dialogue with the assistant  
+- `recs_satisfied`: a 5-point scale rating of how satisfied the user was with the recommendations  
+- `task_feedback`: a free-response description of the user's feedback on the task  
+- Travel-specific fields:
+  - `companions`: a list of companions the user prefers to travel with  
+- Food-specific fields:
+  - `companions`: a list of companions the user eats with or cooks for  
+- News-specific fields:
+  - `frequency`: a list of categories the user selected for the recommendations  
+  - `reasons`: a free-response description of why the user reads news  
+  - `demand`: a 5-point scale rating of how much the user would like to use a personalized AI assistant for news  
+
 
 ## Dataset Creation