newsqa | Tools for using Maluuba 's NewsQA Dataset | Dataset library

 by   Maluuba Python Version: Current License: Non-SPDX

kandi X-RAY | newsqa Summary

kandi X-RAY | newsqa Summary

newsqa is a Python library typically used in Artificial Intelligence, Dataset applications. newsqa has no bugs, it has no vulnerabilities, it has build file available and it has low support. However newsqa has a Non-SPDX License. You can download it from GitHub.

We originally only compiled to CSV but now we also build a JSON file.
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            kandi-support Support

              newsqa has a low active ecosystem.
              It has 244 star(s) with 56 fork(s). There are 38 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 5 open issues and 21 have been closed. On average issues are closed in 87 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of newsqa is current.

            kandi-Quality Quality

              newsqa has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              newsqa has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              newsqa releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              newsqa saves you 532 person hours of effort in developing the same functionality from scratch.
              It has 1246 lines of code, 74 functions and 13 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed newsqa and discovered the below as its top functions. This is intended to give you an instant insight into newsqa implemented functionality, and help decide if they suit your requirements.
            • Pack the dataset as JSON
            • Calculate the consensus answer
            • Returns a list of answers
            • Returns a dict of the training data
            • Refine the answers in the given token list
            • Check if two spans overlap
            • Find the most overlap between the given ranges
            • Tokenize the newsQA dataset
            • Unpack a dataset
            • Pack a tqdm task
            • Returns the answer length of the answer
            • Get the answers from the dataset
            • Load the combined questions from a file
            • Get a logger
            • Create a list of spans from the tagged text
            • Rebase a list of spans
            • Compute the average answer length for each question
            • Gather questions and answers
            • Loads data from the newsQA dataset
            • Write data to a csv file
            • Get the number of words in question
            • Returns a list of valid spans from a string
            • Return a list of spans from a string
            • Simplify training data
            • Extract version number from path
            • Convert a spanrack to a string
            Get all kandi verified functions for this library.

            newsqa Key Features

            No Key Features are available at this moment for newsqa.

            newsqa Examples and Code Snippets

            No Code Snippets are available at this moment for newsqa.

            Community Discussions

            Trending Discussions on newsqa

            QUESTION

            Docker: ImportError: No module named pandas
            Asked 2018-Nov-18 at 09:06

            I'm trying to work on the code in this GitHub repository to process datasets from News articles. I'm following their docker installation steps and the first two execute without any errors.

            However, with the third one, docker run --rm -it -v ${PWD}:/usr/src/newsqa --name newsqa maluuba/newsqa python maluuba/newsqa/data_generator.py, I get the following error:

            ...

            ANSWER

            Answered 2018-Nov-18 at 09:06

            The issue is that if you run it like this: docker run --rm -it -v ${PWD}:/usr/src/newsqa --name newsqa maluuba/newsqa python maluuba/newsqa/data_generator.py

            bash never enters the picture, therefore the correct version of the Python environment is never chosen (in fact, only Python will be running, no shell at all).

            An easy fix is to invoke it like this: docker run --rm -it -v ${PWD}:/usr/src/newsqa --name newsqa newsqa /bin/bash --login -c "python maluuba/newsqa/data_generator.py"

            which will execute it via bash with the --login option will also source the necessary environment.

            Source https://stackoverflow.com/questions/53357766

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

            Vulnerabilities

            No vulnerabilities reported

            Install newsqa

            To tokenize and split the dataset into train, dev, and test, to match the paper run:. The warnings from the tokenizer are normal. To make sure that everything is extracted right, run. All tests should pass.
            Clone this repo.
            Download the tar.gz file for the questions and answers from here to the maluuba/newsqa folder. No need to extract anything.
            Download the CNN stories from here to the maluuba/newsqa folder (for legal and technical reasons, we can't distribute this to you).
            Use Python 2.7 to package the dataset (Python 2.7 was originally used to handle the stories and they got encoded strangely - once the dataset is packaged by these scripts, you should be able to load the files with whatever tools you'd like). You can create a Conda environment like so:
            Install the requirements in your environment:
            (Optional - Tokenization) To tokenize the data, you must install a JDK (Java Development Kit) so that you can compile and run Java code.
            (Optional - Tokenization) To tokenize the data, you must get some JAR files. We use some libraries from Stanford. You just need to put the English option of version 3.6.0 in the maluuba/newsqa folder.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            CLONE
          • HTTPS

            https://github.com/Maluuba/newsqa.git

          • CLI

            gh repo clone Maluuba/newsqa

          • sshUrl

            git@github.com:Maluuba/newsqa.git

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