These are not my favorite Alexandrias.
Message from Alexandria
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Hello, this is a message for those who've been working on vcr2relations. I was reading some of your comments and hopefuly this mesasge will make the task a bit more clear. Q1: Person that event is describing is not interesting. Why is that? \n A: If you've done the vcr2events task, we asked you to annotate minimum of two events in the image, and one of the events might not be talking about the main character due to this design. In VCR2relations, I've assigned each of these events separately, so you might often encounter events that talk about people who are not the main focus. It's fine if the events do not talk about the most interesting person, but the option I've provided below the event is to check if description ITSELF sounds reasonable and informative, not something like 1 is looking at 2. Again, as I mentioned in the instruction, if the event is not something what you expected, still try to write relations about PersonX which is just the SUBJECT of the event. I've been disqualifying workers who've written bad events as well. This is a message to workers who've maintained the qualification to this date, so you are fine if you are reading the message. I'll add another option in future batches if PersonX is not an actual person... \n Q2: Videos are broken or too short. \n A: I'm aware of this problem, and this is mainly because some images are from short clip like 3 seconds long. I'll try to find a way to attach longer clips, but this probably won't be happening right away (probably around next Monday or so). Again, video is there to mainly give you what is happening in the image with more context. I mainly included video so that workers don't come up with something not relevant or hard to infer from image, and hopefully video can guide them to write something contextualized to the image. Note that our model will also be looking at just the image to write these before/after relations. Since the images are from movie clips, there will be movie scenes that you generally don't expect based on image and you can ignore the videos in that case. \n Otherwise, the before/after relations are looking good! Our group is really excited for the project, and if this works out well, I'm pretty sure this'll be a really cool project for the AI research commmunity. Thank you and have a nice day!