Add ECIR 2026 use case data

.github/workflows/build.yaml

@@ -23,7 +23,7 @@ jobs:
 
       - uses: actions/setup-python@v4
         with:
-          python-version: "3.9"
+          python-version: "3.11"
           cache: "pip"
 
       - name: Install Dependencies
@@ -54,7 +54,7 @@ jobs:
 
       - uses: actions/setup-python@v4
         with:
-          python-version: "3.9"
+          python-version: "3.11"
           cache: "pip"
 
       - name: Install Dependencies
@@ -66,7 +66,7 @@ jobs:
         run: pre-commit run mypy --all-file
 
   build-and-test:
-    name: "Build and Test Python 3.9"
+    name: "Build and Test Python 3.11"
     runs-on: ubuntu-latest
     if: always()
     timeout-minutes: 20
@@ -76,7 +76,7 @@ jobs:
       - name: Setup python
         uses: actions/setup-python@v4
         with:
-          python-version: "3.9"
+          python-version: "3.11"
           cache: "pip"
 
       - name: Install Dependencies

.github/workflows/build_docs.yaml

@@ -20,7 +20,7 @@ jobs:
       - name: Setup Python
         uses: actions/setup-python@v4
         with:
-          python-version: 3.9.15
+          python-version: 3.11
           cache: "pip"
       - name: Installing the Documentation requirements
         run: |

.github/workflows/merge.yaml

@@ -6,7 +6,7 @@ on:
 
 jobs:
   build-and-test:
-    name: "Build and Test Python 3.9"
+    name: "Build and Test Python 3.11"
     runs-on: ubuntu-latest
     if: always()
     timeout-minutes: 20
@@ -16,7 +16,7 @@ jobs:
       - name: Setup python
         uses: actions/setup-python@v4
         with:
-          python-version: "3.9"
+          python-version: "3.11"
           cache: "pip"
 
       - name: Install Dependencies

.pre-commit-config.yaml

@@ -3,7 +3,7 @@ repos:
     rev: 22.6.0
     hooks:
     - id: black
-      language_version: python3.9
+      language_version: python3.11
 -   repo: https://github.com/pycqa/flake8
     rev: 5.0.4
     hooks:

README.md

@@ -8,7 +8,7 @@
 ![docs](https://img.shields.io/github/actions/workflow/status/iai-group/UserSimCRS/build_docs.yaml?label=docs&branch=main)
 ![Tests](https://img.shields.io/github/actions/workflow/status/iai-group/UserSimCRS/merge.yaml?label=Tests&branch=main)
 ![Coverage Badge](https://img.shields.io/endpoint?url=https://gist.githubusercontent.com/NoB0/cd558f4b76df656b67277f8ae214b7e0/raw/coverage.UserSimCRS.main.json)
-![Python version](https://img.shields.io/badge/python-3.9-blue)
+![Python version](https://img.shields.io/badge/python-3.11-blue)
 
 UserSimCRS is an extensible user simulation toolkit for evaluating conversational recommender systems.  
 
@@ -27,7 +27,7 @@ We refer to the [documentation](https://iai-group.github.io/UserSimCRS/main) for
 
 ## Installation
 
-The recommended version of Python is 3.9.  
+The recommended version of Python is 3.11.  
 The easiest way to install UserSimCRS and all of its dependencies is by using pip:
 
 ```shell

config/default/config_default.yaml

@@ -36,6 +36,4 @@ historical_ratings_ratio: 0.8
 
 dialogues: data/datasets/moviebot/annotated_dialogues.json
 intent_classifier: "cosine"
-# If using the DIET classifier the following file needs to be provided. 
-# rasa_dialogues: data/agents/moviebot/annotated_dialogues_rasa_agent.yml
 

config/llm_interface/config_ollama_default.yaml

@@ -1,5 +1,5 @@
-host: "https://ollama.ux.uis.no"
+host: "OLLAMA_URL"
 model: "mistral-nemo:latest"
 stream: False
 options:
-  temperature: 0
+  temperature: 0.7

config/llm_interface/config_ollama_information_need.yaml

@@ -1,4 +1,4 @@
-host: "https://ollama.ux.uis.no"
+host: "OLLAMA_URL"
 model: "mistral-nemo:latest"
 stream: False
 format: "json"

config/llm_interface/config_openai_default.yaml

@@ -1,4 +1,4 @@
 model: "gpt-3.5-turbo"
 api_key: "YOUR_API_KEY"
 options:
-  temperature: 0
+  temperature: 0.7

config/nlu/agent_dialogue_acts_extraction_config_default.yaml

@@ -23,7 +23,7 @@ slot_labels:
   - YEAR
   - OTHER
 
-ollama_host: "https://ollama.ux.uis.no"
+ollama_host: "OLLAMA_URL"
 ollama_model: "mistral-nemo:latest"
 ollama_options:
   temperature: 0

config/nlu/user_dialogue_acts_extraction_config_default.yaml

@@ -29,7 +29,7 @@ slot_labels:
   - YEAR
   - OTHER
 
-ollama_host: "https://ollama.ux.uis.no"
+ollama_host: "OLLAMA_URL"
 ollama_model: "mistral-nemo:latest"
 ollama_options:
   temperature: 0

data/datasets/README.md

@@ -1,16 +1,8 @@
 # Dialogue files
 
-The YAML files required to train the Rasa DIET classifier can be generated from the annotated dialogues saved in the correct format.
-The generation of these files can be done with this command:
+This folder contains dialogue files used for configuring a user simulator. For each dataset supported, annotated dialogues in JSON format are provided and associated prompts for LLM-based NLU and NLG components.
 
-```shell
-  cd usersimcrs/utils
-  python -m annotation_converter_rasa -source PathToAnnotatedDialoguesFile -destination PathToDestinationFolder
-```
+The datasets currently supported are:
 
-It creates the following files:
-
-  - `<originalname>_reformat.yaml`: The original file saved as a yaml file
-  - `<originalname>_types_w_examples.yaml`: Slots and example values extracted from the dialogues
-  - `<originalname>_rasa_agent.yaml`: Examples of agent utterances for all possible intents/actions that the agent can take
-  - `<originalname>_rasa_user.yaml`: Similar to the agent file, but for users
+  * MovieBot: dialogues related to movie recommendations obtained with IAI MovieBot v1.
+  * IARD: subset of ReDial dialogues related to movie recommendations.

data/datasets/iard/agent_dialogue_acts_extraction_prompt.txt

@@ -9,7 +9,8 @@
 | Explain-Introduction (EXP-I) | Recommender explains recommendation with non-personalized introduction. | "What about Sleepless in Seattle (1993)? Hanks and Ryan?"  |
 | Explain-Preference (EXP-P)   | Recommender explains recommendation based on the seeker's past preference. | "Will Ferrell is also very good in Elf (2003) if you're in need of another comedy" |
 | Explain-Suggestion (EXP-S)   | Recommender explains recommendation in a suggestive way.     | "If you like gory then I would suggest The Last House on the Left (2009)." |
-| Other (OTH)                  | Greetings, gratitude expression, or chit-chat utterances.    | "Have a good night."                                       |
+| End (END)                    | Recommender ends the conversation.                           | "Awesome! Nice chatting with you...bye now" |
+| Other (OTH)                  | Greetings, gratitude expression, or chit-chat utterances.    | "Hi."                                       |
 
 | Slot |
 | ---- |