multiwoz icon indicating copy to clipboard operation
multiwoz copied to clipboard

Source code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)

Results 20 multiwoz issues
Sort by recently updated
recently updated
newest added

Hi, I'm wondering what tools to use for visualizing JSON. Do you use a NoSQL database to create the data and then export it? Or do you simply use some...

Hi, may I ask how to get the "ontology.json" for MultiWOZ 2.2 like 2.0 and 2.1? Since the slots are not exactly same as those in 2.0 and 2.1, I...

Hi.When I use the test_dials to test my dst model.I found that some slot-values about train-arriveby are not update in the ground truth. Such as MUL2294 : "transcript": "i need...

There is no instruction in README on how to run preprocessing for 2.2. Instead, it implies that delexicalization is only compatible with earlier versions. Can someone confirm if that's the...

What do these two fields mean in book domain in MultiWOZ 2.0?

Hi, what does `pre_invalid` mean in the `book` field? How is it relate to `invalid`? Thanks!

https://github.com/budzianowski/multiwoz/blob/42a1ff2cb75f113a09c4e014dce7e00e3e589149/create_delex_data.py#L335 Each act in dialogue_acts.json is the response corresponding to the system, and the number of acts in each dialogue is equal to the number of responses in each dialogue....

I run evaluate.py and get Matches(inform): 90.40, Success 82.3. Are these the upper bound of metric Inform and Success? In some paper, the inform and success rate can exceed 90.40,82.3....

I have started to collect a new dataset for a new domain, but I don't know how to **annotate** the dataset. Should I annotate them **manually**? Or is there a...

Hi. https://github.com/budzianowski/multiwoz/blob/a24d299fafa00371d03880bce34cb3b0923518fa/evaluate.py#L133 https://github.com/budzianowski/multiwoz/blob/a24d299fafa00371d03880bce34cb3b0923518fa/utils/nlp.py#L73 In this line, the values of belief state are normalized before searching DB. But, the time values of train(leaveAt, arrvieBy) are also normalized to [value_time]. In this...