You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input
One example is below.
Q: ASSISTANT: generally speaking what type of movies do you watch , USER: I like thrillers a lot. , ASSISTANT: thrillers? for example? , USER: Zodiac's one of my favorite movies. , USER: Zodiac the movie about a serial killer from the '60s or '70s, around there. , ASSISTANT: Zodiac? oh wow ok, what do you like about that movie, classify_text: And I just think serial killers, in general, are interesting, so the movie was really good. And it was just neat to see that world. Like it went really in-depth. It was like almost 3 hours long, so you got to really feel like you were a part of that world and time period. And see what the detectives and the police did and the investigators.
A: USER
Rationale: Based on last conversation in which the ASSISTANT ask's a question for which it waits for a reply from the "USER". We can classify this conversation as "USER" as it needs to respond for the given question.
Q: ASSISTANT: What type of movies do you enjoy? , USER: I like documentaries. , ASSISTANT: What appeals to you with these type of movies? , USER: You feel like you walk away from a movie you feeling like like you learn something. And they're also like newspapers, they grab me more cuz you know what they are talking about actually happened and it is need to see things that actually happen in the world. , ASSISTANT: Is there a specific movie you enjoy from this genre? , USER: Going Clear was really good., classify_text: What did you like about this movie?
A:
ASSISTANT