Update README.md

README.md

@@ -40,7 +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 `[domain]-impressions.csv` contains three impressions (one for each round) per user:
+The `[domain]-impressions.jsonl` 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)
@@ -56,14 +56,14 @@ The `[domain]-impressions.csv` contains three impressions (one for each round) p
 - `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 `[domain]-products.csv` file lists all items in a given domain:
+The `[domain]-products.jsonl` 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:
+The `[domain]-users.jsonl` 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  
@@ -112,13 +112,13 @@ Participants in the survey were recruited using Prolific, with the only requirem
 **BibTeX:**
 
 ```
-@misc{stargalla2025computationalcomplexitycountinglinear,
-      title={The Computational Complexity of Counting Linear Regions in ReLU Neural Networks}, 
-      author={Moritz Stargalla and Christoph Hertrich and Daniel Reichman},
+@misc{recoreact2025arxiv,
+      title={Do as I say, not just as I do: Understanding Feedback for Recommendation Systems}, 
+      author={Felix Leeb and Tobias Schnabel},
       year={2025},
-      eprint={2505.16716},
+      eprint={TBD},
       archivePrefix={arXiv},
-      primaryClass={cs.CC},
-      url={https://arxiv.org/abs/2505.16716}, 
+      primaryClass={cs.LG},
+      url={TBD}, 
 }
 ```