abcd | Official repository for `` Action-Based Conversations

 by   asappresearch Python Version: Current License: MIT

kandi X-RAY | abcd Summary

kandi X-RAY | abcd Summary

abcd is a Python library. abcd has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However abcd build file is not available. You can download it from GitHub.

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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            kandi-support Support

              abcd has a low active ecosystem.
              It has 51 star(s) with 20 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 1 have been closed. On average issues are closed in 161 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of abcd is current.

            kandi-Quality Quality

              abcd has 0 bugs and 0 code smells.

            kandi-Security Security

              abcd has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              abcd code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              abcd is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              abcd releases are not available. You will need to build from source code and install.
              abcd has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              It has 1501 lines of code, 91 functions and 14 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed abcd and discovered the below as its top functions. This is intended to give you an instant insight into abcd implemented functionality, and help decide if they suit your requirements.
            • 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
            Get all kandi verified functions for this library.

            abcd Key Features

            No Key Features are available at this moment for abcd.

            abcd Examples and Code Snippets

            No Code Snippets are available at this moment for abcd.

            Community Discussions

            QUESTION

            python pandas weighted average with the use of groupby agg()
            Asked 2022-Apr-15 at 21:59

            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 21:59

            You can use x you have in lambda (specifically, use it's .index to get values you want). For example:

            Source https://stackoverflow.com/questions/71889136

            QUESTION

            Create a Space Adjacency Matrix in ggplot
            Asked 2022-Apr-12 at 00:35

            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.

            Here is what I am looking for.

            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 17:14

            I 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.

            Source https://stackoverflow.com/questions/71830828

            QUESTION

            On better understanding the strncpy() function behavior
            Asked 2022-Apr-03 at 17:15

            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 19:30

            If 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?)

            Source https://stackoverflow.com/questions/71716087

            QUESTION

            Is it possible to do a depth first search iteratively without copying visited nodes?
            Asked 2022-Mar-09 at 22:14
            Background
            • 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 return True

            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 the visited set onto the stack at every node.
            My question is
            • Is there a way to avoid the copy (visited.copy()) in the iterative version, and add/remove to a single visited set as in the recursive version?
            Further details and stuff I've tried...
            • In dfs_rec() there is a single set() named visited, and it's changed via visited.add((row,col)) and visited.remove((row,col))

            • But in dfs_iter() I am pushing visited.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 (see dfs_iter_nocopy() using grid3 below).

            As an example, take this grid:

            • Say you search for "abexxxxxx" (covering the entire grid), the expected output will be True

            • But dfs_iter_nocopy() will give incorrect output on one of grid2 or grid3 (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:

            Code ...

            ANSWER

            Answered 2022-Mar-09 at 22:14

            You 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.

            Source https://stackoverflow.com/questions/71415614

            QUESTION

            In C++, is there any way for variatic template to ignore non-arithmetic type or object and return the sum of remain parameters?
            Asked 2022-Mar-02 at 13:24

            I want to realize a function as the question title described, for example:

            ...

            ANSWER

            Answered 2022-Mar-02 at 13:18

            You can overload SumValue with the help of SFINAE.

            Source https://stackoverflow.com/questions/71323065

            QUESTION

            Python: String concatenation working differently inside for loop
            Asked 2022-Mar-02 at 09:29

            I have a NumPy array containing a list which contains strings of various lengths:

            ...

            ANSWER

            Answered 2022-Feb-20 at 14:34

            Try to define your array as an array of objects like in the example bellow:

            Source https://stackoverflow.com/questions/71195180

            QUESTION

            Why is python mangling here
            Asked 2022-Feb-20 at 17:07

            Why does this code fail if there is no cls. before __TEXT

            ...

            ANSWER

            Answered 2022-Feb-19 at 19:46

            Not 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.

            Source https://stackoverflow.com/questions/71188492

            QUESTION

            Remove substring rows from tibble
            Asked 2022-Feb-18 at 15:15

            I have a tibble:

            ...

            ANSWER

            Answered 2022-Feb-18 at 13:54

            str_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(!).

            Source https://stackoverflow.com/questions/71174341

            QUESTION

            Regular Expression - Ignore multiple spaces and Consider only one space in the match
            Asked 2022-Feb-04 at 09:10

            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 06:41

            You 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})

            regex101

            Source https://stackoverflow.com/questions/70982157

            QUESTION

            Row with two Text in Constraint fashion in Jetpack Compose
            Asked 2022-Jan-23 at 21:12

            I want to include two Text in a Row where the first Text's width is upto the start of 2nd Text, like this

            I am trying Modifier weight but the result achieved is not the same. Is there a way to do it by using Row itself and not ConstraintLayout.

            EDIT :

            ...

            ANSWER

            Answered 2021-Sep-30 at 15:27

            You can use something like:

            Source https://stackoverflow.com/questions/69390508

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install abcd

            You can download it from GitHub.
            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.

            Support

            Please email dchen@asapp.com for questions or feedback.
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            gh repo clone asappresearch/abcd

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            git@github.com:asappresearch/abcd.git

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