I was trying to run the "eval_emocause.py", however, I got the following error:

AssertionError: Checksum for gee_v1.tar.gz from 1TEKp3YRowAZju4UPXOSufqzU6j6_Z4wy does not match the expected checksum: 06d9b640bd7fa92528c6f3f4cd7715db593a0c1d3284151ba7f615f0d9c4989c != af0584e3c376dd364af0bbc122fea7303b9af52556f4dcbb0fbe8d6a136c0b2a

I followed all the instruction, including the environment creating. Not sure where it went wrong.

Btw, I'm really new to the ParlAI. Would you mind to give me some simple instructions for getting the emotional words with GEE? For example, can I create the agent by using "DisplayModel.main"? How to use the "reason_emotion_causes" function after creating the agent?

I am looking forward to your reply, many thanks!

Dear authors,

Thank you for your amazing work. However, some problems occurred when I tried to use your code: `Job is running on ps Traceback (most recent call last): File "/data/lourenze/ECD/baseline/focused-empathy/parlai/core/params.py", line 852, in add_task_args agent.add_cmdline_args(self, partial) │ │ └ {'init_opt': None, 'allow_missing_init_opts': False, 'task': 'tasks.emocause', 'download_path': None, 'loglevel': 'info', 'datat... │ └ ParlaiParser(prog='eval_emocause.py', usage=None, description='Evaluate a model', formatter_class=<class 'parlai.core.params.Cus... └ <class 'tasks.emocause.DefaultTeacher'> TypeError: add_cmdline_args() takes 2 positional arguments but 3 were given

The above exception was the direct cause of the following exception:

Traceback (most recent call last): File "eval_emocause.py", line 30, in opt = parser.parse_args() └ ParlaiParser(prog='eval_emocause.py', usage=None, description='Evaluate a model', formatter_class=<class 'parlai.core.params.Cus... File "/data/lourenze/ECD/baseline/focused-empathy/parlai/core/params.py", line 1163, in parse_args self.add_extra_args(args) │ └ None └ ParlaiParser(prog='eval_emocause.py', usage=None, description='Evaluate a model', formatter_class=<class 'parlai.core.params.Cus... File "/data/lourenze/ECD/baseline/focused-empathy/parlai/core/params.py", line 940, in add_extra_args self.add_task_args(task, partial) │ │ └ {'init_opt': None, 'allow_missing_init_opts': False, 'task': 'tasks.emocause', 'download_path': None, 'loglevel': 'info', 'datat... │ └ 'tasks.emocause' └ ParlaiParser(prog='eval_emocause.py', usage=None, description='Evaluate a model', formatter_class=<class 'parlai.core.params.Cus... File "/data/lourenze/ECD/baseline/focused-empathy/parlai/core/params.py", line 859, in add_task_args ) from typ TypeError: Task 'tasks.emocause' appears to have signature add_cmdline_args(argparser) but we have updated the signature to add_cmdline_args(argparser, partial_opt). For details, see https://github.com/facebookresearch/ParlAI/pull/3328.`

It seems like the ParlAI had updated some signatures for 'add_cmdline_args', as can be seen at:

So, my question is what version of ParlAI did your work use? I try to use the latest version and v 1.0.0, it still didn't work.

Best regard

When I evaluate Blender + Focused S1, I can see this predicted information from that model. How can I see predicted emotion class? I can check emotional words from GEE now.

{'id': 'EmpatheticBlender', 'episode_done': False, 'text': 'that is horrible . i am so sorry to hear that .', 'token_losses': [('did', 3.5072498321533203), ('you', 2.192622184753418), ('suffer', 6.697482109069824), ('any', 0.485431969165802), ('injuries', 1.560391 902923584), ('?', 0.4341753125190735), ('end', 0.1666361540555954), ('null', 0.0), ('null', 0.0), ('null', 0.0), ('null', 0.0), ('null', 0.0), ('null', 0.0), ('null', 0.0), ('null', 0.0), ('null', 0.0), ('null', 0.0), ('null', 0.0), ('null', 0.0), ('null', 0.0), ('null', 0.0), ('null', 0.0), ('null', 0.0), ('null', 0.0), ('null', 0. 0), ('null', 0.0), ('null', 0.0)], 'emotional_words': ['horrifying', 'ran', 'barrels', 'fault', 'survived'], 'metrics': {'loss': AverageMetric(2.149), 'ppl': PPLMetric(8.577), 'token_acc': AverageM etric(0.5714)}

Hello, is it possible that you share your code for training both gee model and empathetic dialog? I want to use your model as a baseline for comparison but our school's machines do not have cuda 10.2 (and therefore loading pretrained gee is failing now). I want retrain your model on newer packages (such as newest parlai, torch 1.9, cuda 11 etc) for further use. If there's no training code as well as training instruction, I'm afraid that the comparison will not be fair.

Hello,

First off, thank you for releasing and maintaining your work, it's very clean and things are working nicely, I know it's a lot of work. I was just curious, my understanding is that EPITOME also has a Emotional Reaction dimension to empathy along with Exploration and Interpretation. Is there a reason that you only use the latter two? Do you have a pre-trained Emotional Reaction model by any chance?

Thank you!