abcd | Official repository for `` Action-Based Conversations
kandi X-RAY | abcd Summary
kandi X-RAY | abcd Summary
Whereas existing goal-oriented dialogue datasets focus mainly on identifying user intents, customer interactions in reality often involve agents following multi-step procedures derived from explicitly-defined guidelines. For example, in a online shopping scenario, a customer might request a refund for a past purchase. However, before honoring such a request, the agent should check the company policies to see if a refund is warranted. It is very likely that the agent will need to verify the customer's identity and check that the purchase was made within a reasonable timeframe. To study dialogue systems in more realistic settings, we introduce the Action-Based Conversations Dataset (ABCD), where an agent's actions must be balanced between the desires expressed by the customer and the constraints set by company policies. The dataset contains over 10K human-to-human dialogues with 55 distinct user intents requiring unique sequences of actions to achieve task success. We also design a new technique called Expert Live Chat for collecting data when there are two unequal users engaging in real-time conversation. Please see the paper for more details.
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Top functions reviewed by kandi - BETA
- Train the model
- Calculate the classification results
- Evaluate the model
- Generate a CDS summary report
- Compute an astropy report
- Process the input data
- Build a dictionary of split features
- Collect one example
- Print out the number of features
- Prepare labels for labels
- Prepare intent labels
- Prepare value labels for a given ontology
- Prepare action labels
- Builds a dictionary of train features
- Translate an action name to a value
- Collects a single example
- Collect examples for the given action
- Check if the output directory exists
- Load features from cache
- Command line entry point
- Load raw data from file
- Load candidate utterances
- Runs the evaluation
- Set up n_GPU
- Load tokenizer
- Set seed
abcd Key Features
abcd Examples and Code Snippets
Community Discussions
Trending Discussions on abcd
QUESTION
I want the ability to use custom functions in pandas groupby agg(). I Know there is the option of using apply but doing several aggregations is what I want. Below is my test code that I tried to get working for the weighted average.
Python Code
...ANSWER
Answered 2022-Apr-15 at 21:59You can use x
you have in lambda (specifically, use it's .index
to get values you want). For example:
QUESTION
I wish to create a Space Adjacency Matrix in R
, preferably using ggplot/tidyverse for consistency with other scripts, but I am open to other solutions.
A Space Adjacency Matrix is used in interior and architectural design to illustrate relationships (adjacencies) between spaces within a building.
Each space in the building has a relationship (or lack of relationship) to every other space.
The input data is likely formatted similarly to this:
...ANSWER
Answered 2022-Apr-11 at 17:14I don't know of any package that implements this. But it is good to keep in mind that you can basically plot anything in ggplot2, as long as you can translate what you're plotting to polygons. That said, here is how you can translate this particular problem to polygons.
QUESTION
In the Linux manpage of strncpy I read:
If the length of src is less than n, strncpy() writes additional
null bytes to dest to ensure that a total of n bytes are written.
In this limit case (no \0 at the end of both strings) where n>4:
...ANSWER
Answered 2022-Apr-01 at 19:30If the length of src
That's the problem, your src
is not a null terminated string so strncpy
has no idea how long it is. The manpage also has a sample code showing how strncpy
works: it stops at a null byte and if it doesn't find one it simply keeps reading until it reaches n
. And in your case it reads the 4 characters of src
and gets the fifth from dest
because it's next in memory. (You can try printing src[4]
, nothing will stop you and you'll get the q
from dest
. Isn't C nice?)
QUESTION
- I am searching a 2D grid for a word.
- We can search left/right and up/down.
- For example, in this grid, searching for
"abef"
starting at(0,0)
will returnTrue
Example (grid1):
Where I'm at- The recursive version gives expected results (see
dfs_rec()
below). - The iterative version also gives expected results (see
dfs_iter()
below). However, in this version I am making a copy of thevisited
set onto the stack at every node.
- Is there a way to avoid the copy (
visited.copy()
) in the iterative version, and add/remove to a singlevisited
set as in the recursive version?
In
dfs_rec()
there is a singleset()
namedvisited
, and it's changed viavisited.add((row,col))
andvisited.remove((row,col))
But in
dfs_iter()
I am pushingvisited.copy()
onto the stack each time, to prevent nodes from being marked as visited incorrectly.I have seen some iterative examples where they use a single
visited
set, without making copies or removing anything from the set, but that does not give me the right output in these examples (seedfs_iter_nocopy()
usinggrid3
below).
As an example, take this grid:
- Say you search for
"abexxxxxx"
(covering the entire grid), the expected output will beTrue
But
dfs_iter_nocopy()
will give incorrect output on one ofgrid2
orgrid3
(they are just mirrored, one will pass and one will fail), depending on the order you push nodes onto the stack.What's happening is, when you search for
"abexxxxxx"
, it searches a path like this (only hitting 5 x's, while it needs 6).
- It marks the
x
at(1,0)
as visited, and when it's time to search that branch, it stops at(1,0)
, like this:
ANSWER
Answered 2022-Mar-09 at 22:14You noticed that the recursive version was able to use a single visited
accumulator by resetting it with visited.remove((row,col))
when backtracking. So the same can be done here by imitating the function call stack so that we know when backtracking occurs.
QUESTION
I want to realize a function as the question title described, for example:
...ANSWER
Answered 2022-Mar-02 at 13:18You can overload SumValue
with the help of SFINAE.
QUESTION
I have a NumPy array containing a list which contains strings of various lengths:
...ANSWER
Answered 2022-Feb-20 at 14:34Try to define your array as an array of objects like in the example bellow:
QUESTION
Why does this code fail if there is no cls. before __TEXT
...ANSWER
Answered 2022-Feb-19 at 19:46Not quite sure if that was the error, but you can just make the function require a parameter text, that seems to work just fine. You need to give me more information though so I can try to help.
QUESTION
I have a tibble:
...ANSWER
Answered 2022-Feb-18 at 13:54str_extract(df$x, "foo") == "foo"
is to test if "foo" is a substring of any element in df$x
. It will be always at least 1, because x is always a substring of itself. If this number is higher, it is also a substring of another element, so we need to remove them using filter(!)
.
QUESTION
I am stumbled on a regular expression and unable to fix it after trying several different ways.
Here is the link to the RegEx with sample input and below is the RegEx and Sample text for quick reference:
Regex:
...ANSWER
Answered 2022-Feb-04 at 06:41You can match single spaces by editing your CircuitID part to either match a space character that isn't followed by another space character (?! )
(negative lookahead), or one of the non-space characters [a-zA-Z0-9\-\/]
.
so the CircuitID part becomes (?(?:[a-zA-Z0-9\-\/]| (?! )){6,26})
QUESTION
ANSWER
Answered 2021-Sep-30 at 15:27You can use something like:
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Install abcd
You can use abcd like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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