|
|
|
|
@ -449,5 +449,23 @@
|
|
|
|
|
"You are a tool to merge sequence diagrams into one.#MSG_SEP#Participants with the same name are considered identical.#MSG_SEP#Return the merged Mermaid sequence diagram in a markdown code block format.#SYSTEM_MSG_END#```mermaid\n\nsequenceDiagram\n participant ExternalSystem\n participant FlaskApp\n ExternalSystem->>FlaskApp: ConnexionRequest\n activate FlaskApp\n FlaskApp->>FlaskApp: process request\n FlaskApp-->>ExternalSystem: ConnexionResponse\n deactivate FlaskApp\n\n```\n---\n```mermaid\n\nsequenceDiagram\n participant FlaskApp\n FlaskApp->>connexion: import connexion\n FlaskApp->>time: import time\n FlaskApp->>Path: from pathlib import Path\n FlaskApp->>JWTError: from jose import JWTError, jwt\n FlaskApp->>Unauthorized: from werkzeug.exceptions import Unauthorized\n FlaskApp->>JWT_ISSUER: JWT_ISSUER = \"com.zalando.connexion\"\n FlaskApp->>JWT_SECRET: JWT_SECRET = \"change_this\"\n FlaskApp->>JWT_LIFETIME_SECONDS: JWT_LIFETIME_SECONDS = 600\n FlaskApp->>JWT_ALGORITHM: JWT_ALGORITHM = \"HS256\"\n FlaskApp->>generate_token: def generate_token(user_id)\n FlaskApp->>decode_token: def decode_token(token)\n FlaskApp->>get_secret: def get_secret(user, token_info) -> str\n FlaskApp->>_current_timestamp: def _current_timestamp() -> int\n FlaskApp->>connexion: app = connexion.FlaskApp(__name__, specification_dir=\"spec\")\n FlaskApp->>app: app.add_api(\"openapi.yaml\")\n FlaskApp->>app: if __name__ == \"__main__\"\n app->>FlaskApp: app.run(f\"{Path(__file__).stem}:app\", port=8080)\n\n```": "```mermaid\nsequenceDiagram\n participant ExternalSystem\n participant FlaskApp\n ExternalSystem->>FlaskApp: ConnexionRequest\n activate FlaskApp\n FlaskApp->>FlaskApp: process request\n FlaskApp-->>ExternalSystem: ConnexionResponse\n deactivate FlaskApp\n FlaskApp->>connexion: import connexion\n FlaskApp->>time: import time\n FlaskApp->>Path: from pathlib import Path\n FlaskApp->>JWTError: from jose import JWTError, jwt\n FlaskApp->>Unauthorized: from werkzeug.exceptions import Unauthorized\n FlaskApp->>JWT_ISSUER: JWT_ISSUER = \"com.zalando.connexion\"\n FlaskApp->>JWT_SECRET: JWT_SECRET = \"change_this\"\n FlaskApp->>JWT_LIFETIME_SECONDS: JWT_LIFETIME_SECONDS = 600\n FlaskApp->>JWT_ALGORITHM: JWT_ALGORITHM = \"HS256\"\n FlaskApp->>generate_token: def generate_token(user_id)\n FlaskApp->>decode_token: def decode_token(token)\n FlaskApp->>get_secret: def get_secret(user, token_info) -> str\n FlaskApp->>_current_timestamp: def _current_timestamp() -> int\n FlaskApp->>connexion: app = connexion.FlaskApp(__name__, specification_dir=\"spec\")\n FlaskApp->>app: app.add_api(\"openapi.yaml\")\n FlaskApp->>app: if __name__ == \"__main\"\n app->>FlaskApp: app.run(f\"{Path(__file__).stem}:app\", port=8080)\n```",
|
|
|
|
|
"You are a python code to UML 2.0 Use Case translator.#MSG_SEP#The generated UML 2.0 Use Case must include the roles or entities listed in \"Participants\".#MSG_SEP#The functional descriptions of Actors and Use Cases in the generated UML 2.0 Use Case must not conflict with the information in \"Mermaid Class Views\".#MSG_SEP#The section under `if __name__ == \"__main__\":` of \"Source Code\" contains information about external system interactions with the internal system.#MSG_SEP#Return a markdown JSON object with:\n- a \"description\" key to explain what the whole source code want to do;\n- a \"use_cases\" key list all use cases, each use case in the list should including a `description` key describes about what the use case to do, a `inputs` key lists the input names of the use case from external sources, a `outputs` key lists the output names of the use case to external sources, a `actors` key lists the participant actors of the use case, a `steps` key lists the steps about how the use case works step by step, a `reason` key explaining under what circumstances would the external system execute this use case.\n- a \"relationship\" key lists all the descriptions of relationship among these use cases.\n#SYSTEM_MSG_END### Participants\n- Exception\n- t.Type\n- t.Union\n- t.Callable\n- Flask\n- WSGIApp\n- ConnexionRequest\n- ConnexionResponse\n- MaybeAwaitable\n\n---\n## Mermaid Class Views\n```mermaid\n\tclass FlaskApp{\n\t\t+Flask app\n\t\t+add_error_handler(t.Union[int,t.Type[Exception]] code_or_exception,t.Callable[[ConnexionRequest,Exception],MaybeAwaitable[ConnexionResponse]] function) None\n\t\t+add_url_rule(rule,str endpoint,t.Callable view_func)\n\t\t+add_wsgi_middleware(t.Type[WSGIApp] middleware) None\n\t}\n\n```\n\n---\n## Source Code\n```python\n\n```\n": "```json\n{\n \"description\": \"This source code is a Python code to UML 2.0 Use Case translator. It takes the information about participants, mermaid class views, and source code to generate a UML 2.0 Use Case diagram with use cases, actors, and their relationships.\",\n \"use_cases\": [\n {\n \"description\": \"Translate Python code to UML 2.0 Use Case\",\n \"inputs\": [\"Python code\"],\n \"outputs\": [\"UML 2.0 Use Case diagram\"],\n \"actors\": [\"Translator\"],\n \"steps\": [\n \"Receive the Python code as input\",\n \"Parse the Python code to extract relevant information such as participants, mermaid class views, and source code\",\n \"Generate a UML 2.0 Use Case diagram based on the extracted information\",\n \"Return the UML 2.0 Use Case diagram as output\"\n ],\n \"reason\": \"When there is a need to visualize the use cases and actors in the Python code\"\n }\n ],\n \"relationship\": []\n}\n```",
|
|
|
|
|
"You are a Mermaid Sequence Diagram translator in function detail.#MSG_SEP#Translate the markdown text to a Mermaid Sequence Diagram.#MSG_SEP#Response must be concise.#MSG_SEP#Return a markdown mermaid code block.#SYSTEM_MSG_END### Use Cases\n\n### 1. This source code is a Python code to UML 2.0 Use Case translator. It takes the information about participants, mermaid class views, and source code to generate a UML 2.0 Use Case diagram with use cases, actors, and their relationships.\n#### 1.1. Translate Python code to UML 2.0 Use Case\n\n##### Inputs\n- Python code\n##### Outputs\n- UML 2.0 Use Case diagram\n##### Actors\n- Translator\n##### Steps\n- Receive the Python code as input\n- Parse the Python code to extract relevant information such as participants, mermaid class views, and source code\n- Generate a UML 2.0 Use Case diagram based on the extracted information\n- Return the UML 2.0 Use Case diagram as output\n#### Use Case Relationship\n\n\n---\n## Participants\n- Exception\n- t.Type\n- t.Union\n- t.Callable\n- Flask\n- WSGIApp\n- ConnexionRequest\n- ConnexionResponse\n- MaybeAwaitable\n---\n## Mermaid Class Views\n```mermaid\n\tclass FlaskApp{\n\t\t+Flask app\n\t\t+add_error_handler(t.Union[int,t.Type[Exception]] code_or_exception,t.Callable[[ConnexionRequest,Exception],MaybeAwaitable[ConnexionResponse]] function) None\n\t\t+add_url_rule(rule,str endpoint,t.Callable view_func)\n\t\t+add_wsgi_middleware(t.Type[WSGIApp] middleware) None\n\t}\n\n```\n\n---\n## Source Code\n```python\n\n```\n": "```mermaid\nsequenceDiagram\n participant Translator\n Translator->>Translator: Receive the Python code as input\n Translator->>Translator: Parse the Python code to extract relevant information\n Translator->>Translator: Generate a UML 2.0 Use Case diagram\n Translator->>Translator: Return the UML 2.0 Use Case diagram as output\n```",
|
|
|
|
|
"You are a tool to merge sequence diagrams into one.#MSG_SEP#Participants with the same name are considered identical.#MSG_SEP#Return the merged Mermaid sequence diagram in a markdown code block format.#SYSTEM_MSG_END#```mermaid\n\nsequenceDiagram\n participant Translator\n Translator->>Translator: Receive the Python code as input\n Translator->>Translator: Parse the Python code to extract relevant information\n Translator->>Translator: Generate a UML 2.0 Use Case diagram\n Translator->>Translator: Return the UML 2.0 Use Case diagram as output\n\n```\n---\n```mermaid\n\nsequenceDiagram\n participant FlaskApp\n FlaskApp->>connexion: import connexion\n FlaskApp->>time: import time\n FlaskApp->>Path: from pathlib import Path\n FlaskApp->>JWTError: from jose import JWTError, jwt\n FlaskApp->>Unauthorized: from werkzeug.exceptions import Unauthorized\n FlaskApp->>JWT_ISSUER: JWT_ISSUER = \"com.zalando.connexion\"\n FlaskApp->>JWT_SECRET: JWT_SECRET = \"change_this\"\n FlaskApp->>JWT_LIFETIME_SECONDS: JWT_LIFETIME_SECONDS = 600\n FlaskApp->>JWT_ALGORITHM: JWT_ALGORITHM = \"HS256\"\n FlaskApp->>generate_token: def generate_token(user_id)\n FlaskApp->>decode_token: def decode_token(token)\n FlaskApp->>get_secret: def get_secret(user, token_info) -> str\n FlaskApp->>_current_timestamp: def _current_timestamp() -> int\n FlaskApp->>connexion: app = connexion.FlaskApp(__name__, specification_dir=\"spec\")\n FlaskApp->>app: app.add_api(\"openapi.yaml\")\n FlaskApp->>app: if __name__ == \"__main__\"\n app->>FlaskApp: app.run(f\"{Path(__file__).stem}:app\", port=8080)\n\n```": "```mermaid\nsequenceDiagram\n participant Translator\n Translator->>Translator: Receive the Python code as input\n Translator->>Translator: Parse the Python code to extract relevant information\n Translator->>Translator: Generate a UML 2.0 Use Case diagram\n Translator->>Translator: Return the UML 2.0 Use Case diagram as output\n\n participant FlaskApp\n FlaskApp->>connexion: import connexion\n FlaskApp->>time: import time\n FlaskApp->>Path: from pathlib import Path\n FlaskApp->>JWTError: from jose import JWTError, jwt\n FlaskApp->>Unauthorized: from werkzeug.exceptions import Unauthorized\n FlaskApp->>JWT_ISSUER: JWT_ISSUER = \"com.zalando.connexion\"\n FlaskApp->>JWT_SECRET: JWT_SECRET = \"change_this\"\n FlaskApp->>JWT_LIFETIME_SECONDS: JWT_LIFETIME_SECONDS = 600\n FlaskApp->>JWT_ALGORITHM: JWT_ALGORITHM = \"HS256\"\n FlaskApp->>generate_token: def generate_token(user_id)\n FlaskApp->>decode_token: def decode_token(token)\n FlaskApp->>get_secret: def get_secret(user, token_info) -> str\n FlaskApp->>_current_timestamp: def _current_timestamp() -> int\n FlaskApp->>connexion: app = connexion.FlaskApp(__name__, specification_dir=\"spec\")\n FlaskApp->>app: app.add_api(\"openapi.yaml\")\n FlaskApp->>app: if __name__ == \"__main__\"\n app->>FlaskApp: app.run(f\"{Path(__file__).stem}:app\", port=8080)\n```"
|
|
|
|
|
"You are a tool to merge sequence diagrams into one.#MSG_SEP#Participants with the same name are considered identical.#MSG_SEP#Return the merged Mermaid sequence diagram in a markdown code block format.#SYSTEM_MSG_END#```mermaid\n\nsequenceDiagram\n participant Translator\n Translator->>Translator: Receive the Python code as input\n Translator->>Translator: Parse the Python code to extract relevant information\n Translator->>Translator: Generate a UML 2.0 Use Case diagram\n Translator->>Translator: Return the UML 2.0 Use Case diagram as output\n\n```\n---\n```mermaid\n\nsequenceDiagram\n participant FlaskApp\n FlaskApp->>connexion: import connexion\n FlaskApp->>time: import time\n FlaskApp->>Path: from pathlib import Path\n FlaskApp->>JWTError: from jose import JWTError, jwt\n FlaskApp->>Unauthorized: from werkzeug.exceptions import Unauthorized\n FlaskApp->>JWT_ISSUER: JWT_ISSUER = \"com.zalando.connexion\"\n FlaskApp->>JWT_SECRET: JWT_SECRET = \"change_this\"\n FlaskApp->>JWT_LIFETIME_SECONDS: JWT_LIFETIME_SECONDS = 600\n FlaskApp->>JWT_ALGORITHM: JWT_ALGORITHM = \"HS256\"\n FlaskApp->>generate_token: def generate_token(user_id)\n FlaskApp->>decode_token: def decode_token(token)\n FlaskApp->>get_secret: def get_secret(user, token_info) -> str\n FlaskApp->>_current_timestamp: def _current_timestamp() -> int\n FlaskApp->>connexion: app = connexion.FlaskApp(__name__, specification_dir=\"spec\")\n FlaskApp->>app: app.add_api(\"openapi.yaml\")\n FlaskApp->>app: if __name__ == \"__main__\"\n app->>FlaskApp: app.run(f\"{Path(__file__).stem}:app\", port=8080)\n\n```": "```mermaid\nsequenceDiagram\n participant Translator\n Translator->>Translator: Receive the Python code as input\n Translator->>Translator: Parse the Python code to extract relevant information\n Translator->>Translator: Generate a UML 2.0 Use Case diagram\n Translator->>Translator: Return the UML 2.0 Use Case diagram as output\n\n participant FlaskApp\n FlaskApp->>connexion: import connexion\n FlaskApp->>time: import time\n FlaskApp->>Path: from pathlib import Path\n FlaskApp->>JWTError: from jose import JWTError, jwt\n FlaskApp->>Unauthorized: from werkzeug.exceptions import Unauthorized\n FlaskApp->>JWT_ISSUER: JWT_ISSUER = \"com.zalando.connexion\"\n FlaskApp->>JWT_SECRET: JWT_SECRET = \"change_this\"\n FlaskApp->>JWT_LIFETIME_SECONDS: JWT_LIFETIME_SECONDS = 600\n FlaskApp->>JWT_ALGORITHM: JWT_ALGORITHM = \"HS256\"\n FlaskApp->>generate_token: def generate_token(user_id)\n FlaskApp->>decode_token: def decode_token(token)\n FlaskApp->>get_secret: def get_secret(user, token_info) -> str\n FlaskApp->>_current_timestamp: def _current_timestamp() -> int\n FlaskApp->>connexion: app = connexion.FlaskApp(__name__, specification_dir=\"spec\")\n FlaskApp->>app: app.add_api(\"openapi.yaml\")\n FlaskApp->>app: if __name__ == \"__main__\"\n app->>FlaskApp: app.run(f\"{Path(__file__).stem}:app\", port=8080)\n```",
|
|
|
|
|
"\"\"\"\nGiven only the information above, what are 3 most salient high-level questions we can answer about the subjects grounded in the statements?\n1)\n\"\"\"\nOutput the response to the prompt above in json. Output must be a list of str.\nExample output json:\n{\"output\": \"[\"What should Jane do for lunch\", \"Does Jane like strawberry\", \"Who is Jane\"]\"}": "{\n \"output\": [\n \"What is the significance of the information provided?\",\n \"What are the implications of Jane's preferences?\",\n \"How does the information relate to the subject's identity?\"\n ]\n}",
|
|
|
|
|
"Input:\n[user: Klaus Mueller has a close relationship with Maria Lopez, user:s Mueller and Maria Lopez have a close relationship, user: Klaus Mueller has a close relationship with Maria Lopez, user: Klaus Mueller has a close relationship with Maria Lopez, user: Klaus Mueller and Maria Lopez have a strong relationship, user: Klaus Mueller is a dormmate of Maria Lopez., user: Klaus Mueller and Maria Lopez have a strong bond, user: Klaus Mueller has a crush on Maria Lopez, user: Klaus Mueller and Maria Lopez have been friends for more than 2 years., user: Klaus Mueller has a close relationship with Maria Lopez, user: Klaus Mueller Maria Lopez is heading off to college., user: Klaus Mueller and Maria Lopez have a close relationship, user: Klaus Mueller is actively researching a topic, user: Klaus Mueller is close friends and classmates with Maria Lopez., user: Klaus Mueller is socially active, user: Klaus Mueller has a crush on Maria Lopez., user: Klaus Mueller and Maria Lopez have been friends for a long time, user: Klaus Mueller is academically inclined, user: For Klaus Mueller's planning: should remember to ask Maria Lopez about her research paper, as she found it interesting that he mentioned it., user: Klaus Mueller is acquainted with Isabella Rodriguez, user: Klaus Mueller is organized and prepared, user: Maria Lopez is conversing about conversing about Maria's research paper mentioned by Klaus, user: Klaus Mueller is conversing about conversing about Maria's research paper mentioned by Klaus, user: Klaus Mueller is a student, user: Klaus Mueller is a student, user: Klaus Mueller is conversing about two friends named Klaus Mueller and Maria Lopez discussing their morning plans and progress on a research paper before Maria heads off to college., user: Klaus Mueller is socially active, user: Klaus Mueller is socially active, user: Klaus Mueller is socially active and acquainted with Isabella Rodriguez, user: Klaus Mueller has a crush on Maria Lopez]\n\nWhat 5 high-level insights can you infer from the above statements? Please ensure it includes 'because of' and generates according to the example format.(example format: insight (because of 1, 5, 3)) .\n1.": "It seems that Klaus Mueller has a strong and close relationship with Maria Lopez because they have been friends for more than 2 years, are dormmates, and have a strong bond.\n2. Klaus Mueller is academically inclined and actively researching a topic because he is conversing about Maria's research paper and is organized and prepared.\n3. Klaus Mueller has a crush on Maria Lopez, which is evident from his repeated mention of their close relationship and his interest in her research paper.\n4. Klaus Mueller is socially active and acquainted with Isabella Rodriguez, as he is conversing about two friends discussing their morning plans and progress on a research paper before Maria heads off to college.\n5. Maria Lopez and Klaus Mueller are conversing about their morning plans and",
|
|
|
|
|
"Task: Turn the input into (subject, predicate, object). \n\nInput: Sam Johnson is eating breakfast. \nOutput: (Dolores Murphy, eat, breakfast) \n--- \nInput: Joon Park is brewing coffee.\nOutput: (Joon Park, brew, coffee)\n---\nInput: Jane Cook is sleeping. \nOutput: (Jane Cook, is, sleep)\n---\nInput: Michael Bernstein is writing email on a computer. \nOutput: (Michael Bernstein, write, email)\n---\nInput: Percy Liang is teaching students in a classroom. \nOutput: (Percy Liang, teach, students)\n---\nInput: Merrie Morris is running on a treadmill. \nOutput: (Merrie Morris, run, treadmill)\n---\nInput: Klaus Mueller is Klaus Mueller is academically inclined. \nOutput: (Klaus Mueller,": "I'm sorry, but the input \"Klaus Mueller is Klaus Mueller is academically inclined.\" seems to be incomplete or incorrect. Could you please",
|
|
|
|
|
"\"\"\"\nConversation: \nRole_A: \"what's the weather today?\"\nRole_B: \"It looks pretty good, and I will take a walk then.\"\n\n\nSummarize the conversation above in one sentence:\nThis is a conversation about\n\"\"\"\nOutput the response to the prompt above in json. The output must continue the sentence above by filling in the <fill in> tag. Don't start with 'this is a conversation about...' Just finish the sentence but do not miss any important details (including who are chatting).\nExample output json:\n{\"output\": \"conversing about what to eat for lunch\"}": "{\"output\": \"the weather and plans for a walk\"}",
|
|
|
|
|
"\"\"\"\n[Statements]\n\n\nBased on the statements above, summarize Isabella Rodriguez and Klaus Mueller's relationship. What do they feel or know about each other?\n\n\n\"\n\"\"\"\nOutput the response to the prompt above in json. The output should be a string that responds to the question.\nExample output json:\n{\"output\": \"Jane Doe is working on a project\"}": "{\"output\": \"Isabella Rodriguez and Klaus Mueller have a close working relationship and seem to have a good understanding of each other's strengths and weaknesses. They trust each other and are comfortable sharing their thoughts and ideas.\"}",
|
|
|
|
|
"Context for the task: \n\nPART 1. \nHere is Here is a brief description of Isabella Rodriguez.\nName: Isabella Rodriguez\nAge: 34\nInnate traits: friendly, outgoing, hospitable\nLearned traits: Isabella Rodriguez is a cafe owner of Hobbs Cafe who loves to make people feel welcome. She is always looking for ways to make the cafe a place where people can come to relax and enjoy themselves.\nCurrently: Isabella Rodriguez is planning on having a Valentine's Day party at Hobbs Cafe with her customers on February 14th, 2023 at 5pm. She is gathering party material, and is telling everyone to join the party at Hobbs Cafe on February 14th, 2023, from 5pm to 7pm.\nLifestyle: Isabella Rodriguez goes to bed around 11pm, awakes up around 6am.\nDaily plan requirement: Isabella Rodriguez opens Hobbs Cafe at 8am everyday, and works at the counter until 8pm, at which point she closes the cafe.\nCurrent Date: \n\n\nHere is the memory that is in Isabella Rodriguez's head: \n\n\nPART 2. \nPast Context: \n\n\nCurrent Location: main room in Isabella Rodriguez's apartment\n\nCurrent Context: \nIsabella Rodriguez was None when Isabella Rodriguez saw Klaus Mueller in the middle of None.\nIsabella Rodriguez is initiating a conversation with Klaus Mueller.\n\nIsabella Rodriguez and Klaus Mueller are chatting. Here is their conversation so far: \n[The conversation has not started yet -- start it!]\n\n---\nTask: Given the above, what should Isabella Rodriguez say to Klaus Mueller next in the conversation? And did it end the conversation?\n\nOutput format: Output a json of the following format: \n{\n\"Isabella Rodriguez\": \"<Isabella Rodriguez's utterance>\",\n\"Did the conversation end with Isabella Rodriguez's utterance?\": \"<json Boolean>\"\n}": "{\n \"Isabella Rodriguez\": \"Hey Klaus, I'm so glad you stopped by! I'm getting everything ready for our Valentine's Day party at Hobbs Cafe. I hope you can make it on February 14th at 5pm. It's going to be a great time with music, food, and fun activities. I'd love to see you there!\",\n \"Did the conversation end with Isabella Rodriguez's utterance?\": \"false\"\n}",
|
|
|
|
|
"\"\"\"\n[Statements]\n\n\nBased on the statements above, summarize Klaus Mueller and Isabella Rodriguez's relationship. What do they feel or know about each other?\n\n\n\"\n\"\"\"\nOutput the response to the prompt above in json. The output should be a string that responds to the question.\nExample output json:\n{\"output\": \"Jane Doe is working on a project\"}": "{\"output\": \"Klaus Mueller and Isabella Rodriguez have a professional relationship, and they seem to have mutual respect for each other's work. They have collaborated on several projects and have a good understanding of each other's expertise.\"}",
|
|
|
|
|
"Context for the task: \n\nPART 1. \nHere is Here is a brief description of Klaus Mueller.\nName: Klaus Mueller\nAge: 20\nInnate traits: kind, inquisitive, passionate\nLearned traits: Klaus Mueller is a student at Oak Hill College studying sociology. He is passionate about social justice and loves to explore different perspectives.\nCurrently: Klaus Mueller is writing a research paper on the effects of gentrification in low-income communities.\nLifestyle: Klaus Mueller goes to bed around 11pm, awakes up around 7am, eats dinner around 5pm.\nDaily plan requirement: Klaus Mueller goes to the library at Oak Hill College early in the morning, spends his days writing, and eats at Hobbs Cafe.\nCurrent Date: \n\n\nHere is the memory that is in Klaus Mueller's head: \n\n\nPART 2. \nPast Context: \n\n\nCurrent Location: Klaus Mueller's room in Dorm for Oak Hill College\n\nCurrent Context: \nKlaus Mueller was None when Klaus Mueller saw Isabella Rodriguez in the middle of None.\nKlaus Mueller is initiating a conversation with Isabella Rodriguez.\n\nKlaus Mueller and Isabella Rodriguez are chatting. Here is their conversation so far: \nIsabella Rodriguez: Hey Klaus, I'm so glad you stopped by! I'm getting everything ready for our Valentine's Day party at Hobbs Cafe. I hope you can make it on February 14th at 5pm. It's going to be a great time with music, food, and fun activities. I'd love to see you there!\n\n\n---\nTask: Given the above, what should Klaus Mueller say to Isabella Rodriguez next in the conversation? And did it end the conversation?\n\nOutput format: Output a json of the following format: \n{\n\"Klaus Mueller\": \"<Klaus Mueller's utterance>\",\n\"Did the conversation end with Klaus Mueller's utterance?\": \"<json Boolean>\"\n}": "{\n \"Klaus Mueller\": \"Hey Isabella, that sounds like a fantastic event! I'll definitely be there on February 14th at 5pm. Thanks for inviting me!\",\n \"Did the conversation end with Klaus Mueller's utterance?\": \"false\"\n}",
|
|
|
|
|
"Context for the task: \n\nPART 1. \nHere is Here is a brief description of Isabella Rodriguez.\nName: Isabella Rodriguez\nAge: 34\nInnate traits: friendly, outgoing, hospitable\nLearned traits: Isabella Rodriguez is a cafe owner of Hobbs Cafe who loves to make people feel welcome. She is always looking for ways to make the cafe a place where people can come to relax and enjoy themselves.\nCurrently: Isabella Rodriguez is planning on having a Valentine's Day party at Hobbs Cafe with her customers on February 14th, 2023 at 5pm. She is gathering party material, and is telling everyone to join the party at Hobbs Cafe on February 14th, 2023, from 5pm to 7pm.\nLifestyle: Isabella Rodriguez goes to bed around 11pm, awakes up around 6am.\nDaily plan requirement: Isabella Rodriguez opens Hobbs Cafe at 8am everyday, and works at the counter until 8pm, at which point she closes the cafe.\nCurrent Date: \n\n\nHere is the memory that is in Isabella Rodriguez's head: \n\n\nPART 2. \nPast Context: \n\n\nCurrent Location: main room in Isabella Rodriguez's apartment\n\nCurrent Context: \nIsabella Rodriguez was None when Isabella Rodriguez saw Klaus Mueller in the middle of None.\nIsabella Rodriguez is initiating a conversation with Klaus Mueller.\n\nIsabella Rodriguez and Klaus Mueller are chatting. Here is their conversation so far: \nIsabella Rodriguez: Hey Klaus, I'm so glad you stopped by! I'm getting everything ready for our Valentine's Day party at Hobbs Cafe. I hope you can make it on February 14th at 5pm. It's going to be a great time with music, food, and fun activities. I'd love to see you there!\nKlaus Mueller: Hey Isabella, that sounds like a fantastic event! I'll definitely be there on February 14th at 5pm. Thanks for inviting me!\n\n\n---\nTask: Given the above, what should Isabella Rodriguez say to Klaus Mueller next in the conversation? And did it end the conversation?\n\nOutput format: Output a json of the following format: \n{\n\"Isabella Rodriguez\": \"<Isabella Rodriguez's utterance>\",\n\"Did the conversation end with Isabella Rodriguez's utterance?\": \"<json Boolean>\"\n}": "{\n \"Isabella Rodriguez\": \"Great! I'm looking forward to seeing you there. I'll make sure to save you a seat. Thanks for stopping by, Klaus!\",\n \"Did the conversation end with Isabella Rodriguez's utterance?\": \"false\"\n}",
|
|
|
|
|
"Context for the task: \n\nPART 1. \nHere is Here is a brief description of Klaus Mueller.\nName: Klaus Mueller\nAge: 20\nInnate traits: kind, inquisitive, passionate\nLearned traits: Klaus Mueller is a student at Oak Hill College studying sociology. He is passionate about social justice and loves to explore different perspectives.\nCurrently: Klaus Mueller is writing a research paper on the effects of gentrification in low-income communities.\nLifestyle: Klaus Mueller goes to bed around 11pm, awakes up around 7am, eats dinner around 5pm.\nDaily plan requirement: Klaus Mueller goes to the library at Oak Hill College early in the morning, spends his days writing, and eats at Hobbs Cafe.\nCurrent Date: \n\n\nHere is the memory that is in Klaus Mueller's head: \n\n\nPART 2. \nPast Context: \n\n\nCurrent Location: Klaus Mueller's room in Dorm for Oak Hill College\n\nCurrent Context: \nKlaus Mueller was None when Klaus Mueller saw Isabella Rodriguez in the middle of None.\nKlaus Mueller is initiating a conversation with Isabella Rodriguez.\n\nKlaus Mueller and Isabella Rodriguez are chatting. Here is their conversation so far: \nIsabella Rodriguez: Hey Klaus, I'm so glad you stopped by! I'm getting everything ready for our Valentine's Day party at Hobbs Cafe. I hope you can make it on February 14th at 5pm. It's going to be a great time with music, food, and fun activities. I'd love to see you there!\nKlaus Mueller: Hey Isabella, that sounds like a fantastic event! I'll definitely be there on February 14th at 5pm. Thanks for inviting me!\nIsabella Rodriguez: Great! I'm looking forward to seeing you there. I'll make sure to save you a seat. Thanks for stopping by, Klaus!\n\n\n---\nTask: Given the above, what should Klaus Mueller say to Isabella Rodriguez next in the conversation? And did it end the conversation?\n\nOutput format: Output a json of the following format: \n{\n\"Klaus Mueller\": \"<Klaus Mueller's utterance>\",\n\"Did the conversation end with Klaus Mueller's utterance?\": \"<json Boolean>\"\n}": "{\n \"Klaus Mueller\": \"Isabella, I'm really interested in your work with the community. I'd love to hear more about it sometime.\",\n \"Did the conversation end with Klaus Mueller's utterance?\": \"false\"\n}",
|
|
|
|
|
"Task -- choose an appropriate area from the area options for a task at hand. \n\nSam Kim lives in {Sam Kim's house} that has Sam Kim's room, bathroom, kitchen.\nSam Kim is currently in {Sam Kim's house} that has Sam Kim's room, bathroom, kitchen. \nArea options: {Sam Kim's house, The Rose and Crown Pub, Hobbs Cafe, Oak Hill College, Johnson Park, Harvey Oak Supply Store, The Willows Market and Pharmacy}.\n* Stay in the current area if the activity can be done there. Only go out if the activity needs to take place in another place.\n* Must be one of the \"Area options,\" verbatim.\nFor taking a walk, Sam Kim should go to the following area: {Johnson Park}\n---\nJane Anderson lives in {Oak Hill College Student Dormatory} that has Jane Anderson's room.\nJane Anderson is currently in {Oak Hill College} that has a classroom, library\nArea options: {Oak Hill College Student Dormatory, The Rose and Crown Pub, Hobbs Cafe, Oak Hill College, Johnson Park, Harvey Oak Supply Store, The Willows Market and Pharmacy}. \n* Stay in the current area if the activity can be done there. Only go out if the activity needs to take place in another place.\n* Must be one of the \"Area options,\" verbatim.\nFor eating dinner, Jane Anderson should go to the following area: {Hobbs Cafe}\n---\nHobbs Cafe lives in {Klaus Mueller} that has sleeping.\nsleeping is currently in {Klaus Mueller} that has !<INPUT 5>!. !<INPUT 6>!\nArea options: {!<INPUT 7>!}. \n* Stay in the current area if the activity can be done there. Only go out if the activity needs to take place in another place.\n* Must be one of the \"Area options,\" verbatim.\n!<INPUT 8>! is !<INPUT 9>!. For !<INPUT 10>!, !<INPUT 11>! should go to the following area: {": "For sleeping, Hobbs Cafe should go to the following area: {K",
|
|
|
|
|
"Jane Anderson is in kitchen in Jane Anderson's house.\nJane Anderson is going to Jane Anderson's house that has the following areas: {kitchen, bedroom, bathroom}\nStay in the current area if the activity can be done there. Never go into other people's rooms unless necessary.\nFor cooking, Jane Anderson should go to the following area in Jane Anderson's house:\nAnswer: {kitchen}\n---\nTom Watson is in common room in Tom Watson's apartment. \nTom Watson is going to Hobbs Cafe that has the following areas: {cafe}\nStay in the current area if the activity can be done there. Never go into other people's rooms unless necessary.\nFor getting coffee, Tom Watson should go to the following area in Hobbs Cafe:\nAnswer: {cafe}\n---\n\nKlaus Mueller is going to Dorm for Oak Hill College that has the following areas: {garden, Klaus Mueller's room, woman's bathroom, common room, man's bathroom}\n* Stay in the current area if the activity can be done there. \n* NEVER go into other people's rooms unless necessary.\nKlaus Mueller is sleeping. For sleeping, Klaus Mueller should go to the following area in Dorm for Oak Hill College (MUST pick one of {garden, Klaus Mueller's room, woman's bathroom, common room, man's bathroom}):\nAnswer: {": "Klaus Mueller's room}",
|
|
|
|
|
"Current activity: sleep in bed\nObjects available: {bed, easel, closet, painting}\nPick ONE most relevant object from the objects available: bed\n---\nCurrent activity: painting\nObjects available: {easel, closet, sink, microwave}\nPick ONE most relevant object from the objects available: easel\n---\nCurrent activity: cooking\nObjects available: {stove, sink, fridge, counter}\nPick ONE most relevant object from the objects available: stove\n---\nCurrent activity: watch TV\nObjects available: {couch, TV, remote, coffee table}\nPick ONE most relevant object from the objects available: TV\n---\nCurrent activity: study\nObjects available: {desk, computer, chair, bookshelf}\nPick ONE most relevant object from the objects available: desk\n---\nCurrent activity: talk on the phone\nObjects available: {phone, charger, bed, nightstand}\nPick ONE most relevant object from the objects available: phone\n---\nCurrent activity: sleeping\nObjects available: {bed, game console, closet, desk}\nPick ONE most relevant object from the objects available:": "bed",
|
|
|
|
|
"\"\"\"\nTask: We want to understand the state of an object that is being used by someone. \n\nLet's think step by step. \nWe want to know about bed's state. \nStep 1. Klaus Mueller is at/using the sleeping.\nStep 2. Describe the bed's state: bed is\n\"\"\"\nOutput the response to the prompt above in json. The output should ONLY contain the phrase that should go in <fill in>.\nExample output json:\n{\"output\": \"being fixed\"}": "{\n \"output\": \"being used\"\n}",
|
|
|
|
|
"\"\"\"\nConvert an action description to an emoji (important: use two or less emojis).\n\nAction description: sleeping\nEmoji:\n\"\"\"\nOutput the response to the prompt above in json. The value for the output must ONLY contain the emojis.\nExample output json:\n{\"output\": \"🛁🧖♀️\"}": "{\n \"output\": \"😴\"\n}",
|
|
|
|
|
"Task: Turn the input into (subject, predicate, object). \n\nInput: Sam Johnson is eating breakfast. \nOutput: (Dolores Murphy, eat, breakfast) \n--- \nInput: Joon Park is brewing coffee.\nOutput: (Joon Park, brew, coffee)\n---\nInput: Jane Cook is sleeping. \nOutput: (Jane Cook, is, sleep)\n---\nInput: Michael Bernstein is writing email on a computer. \nOutput: (Michael Bernstein, write, email)\n---\nInput: Percy Liang is teaching students in a classroom. \nOutput: (Percy Liang, teach, students)\n---\nInput: Merrie Morris is running on a treadmill. \nOutput: (Merrie Morris, run, treadmill)\n---\nInput: Klaus Mueller is sleeping. \nOutput: (Klaus Mueller,": "I'm sorry, but it seems like the input was cut off. Could you please provide the complete input so I can help you with the output?",
|
|
|
|
|
"\"\"\"\nConvert an action description to an emoji (important: use two or less emojis).\n\nAction description: being used\nEmoji:\n\"\"\"\nOutput the response to the prompt above in json. The value for the output must ONLY contain the emojis.\nExample output json:\n{\"output\": \"🛁🧖♀️\"}": "{\n \"output\": \"🔨\"\n}",
|
|
|
|
|
"Task: Turn the input into (subject, predicate, object). \n\nInput: Sam Johnson is eating breakfast. \nOutput: (Dolores Murphy, eat, breakfast) \n--- \nInput: Joon Park is brewing coffee.\nOutput: (Joon Park, brew, coffee)\n---\nInput: Jane Cook is sleeping. \nOutput: (Jane Cook, is, sleep)\n---\nInput: Michael Bernstein is writing email on a computer. \nOutput: (Michael Bernstein, write, email)\n---\nInput: Percy Liang is teaching students in a classroom. \nOutput: (Percy Liang, teach, students)\n---\nInput: Merrie Morris is running on a treadmill. \nOutput: (Merrie Morris, run, treadmill)\n---\nInput: bed is being used. \nOutput: (bed,": "I'm sorry, but the input \"bed is being used\" does not follow the format of the previous examples where a subject, predicate, and object"
|
|
|
|
|
}
|
莘权 马