DrQA | Reading Wikipedia to Answer Open-Domain Questions | Natural Language Processing library

by facebookresearch Python Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets(3)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | DrQA Summary

DrQA is a Python library typically used in Institutions, Learning, Education, Artificial Intelligence, Natural Language Processing applications. DrQA has no bugs, it has no vulnerabilities, it has build file available and it has medium support. However DrQA has a Non-SPDX License. You can download it from GitHub.

This is a PyTorch implementation of the DrQA system described in the ACL 2017 paper Reading Wikipedia to Answer Open-Domain Questions.

Support

Quality

Security

License

Reuse

Support

DrQA has a medium active ecosystem.

It has 4378 star(s) with 915 fork(s). There are 163 watchers for this library.

It had no major release in the last 6 months.

There are 55 open issues and 195 have been closed. On average issues are closed in 125 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of DrQA is current.

Quality

DrQA has 0 bugs and 0 code smells.

Security

DrQA has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

DrQA code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

DrQA 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.

Reuse

DrQA 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 are not available. Examples and code snippets are available.

DrQA saves you 1509 person hours of effort in developing the same functionality from scratch.

It has 3363 lines of code, 203 functions and 40 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed DrQA and discovered the below as its top functions. This is intended to give you an instant insight into DrQA implemented functionality, and help decide if they suit your requirements.

Process a batch of documents
Return a data loader for data
Split a docstring into paragraphs
List of NER entities
Predict a batch of documents
Vectorize a document
Create batch of documents and features
Predict a question
Update the network
Train model
Adds words to embedding layer
Evaluate the prediction
Validates the given model
Tune embeddings
Validate a single classification against the examples
Load pre - trained embeddings
Train the model
Count occurrences of ngrams
Read files into database
Compute the count matrix for each document
Forward computation
Set required parameters
Runs prediction on the given examples
Add training arguments for training
Tokenize text into tokens
Process question answers
Process a dataset

Get all kandi verified functions for this library.

DrQA Key Features

No Key Features are available at this moment for DrQA.

DrQA Examples and Code Snippets

Clinical Reading Comprehension (CliniRC),Train and Test a QA model,DocReader

Python

Lines of Code : 40

License : Permissive (Apache-2.0)

Copy

$ git clone https://github.com/facebookresearch/DrQA.git
$ cd DrQA; python setup.py develop

$ chmod +x ../download_glove_embeddings.sh; ../download_glove_embeddings.sh

$ python scripts/reader/preprocess.py \
../data/datasets/ \
../data/datasets/ \

README for retrieval-based baselines,DPR reader

Python

Lines of Code : 33

License : Non-SPDX (NOASSERTION)

Copy

python3 preprocess_reader_data.py \
  --retriever_results ${base_dir}/tfidf/nq-{train|dev|test}.json \
  --gold_passages ${base_dir}/data/gold_passages_info/nq_{train|dev|test}.json \
  --do_lower_case \
  --pretrained_model_cfg bert-base-uncased \

FastFusionNet,Training

Python

Lines of Code : 16

License : Permissive (MIT)

Copy

SAVE='save/fastfusionnet'
mkdir -p $SAVE
python train.py --model_type fusionnet --hidden_size 125 --end_gru \
    --dropout_rnn 0.2 --data_suffix fusion --save_dir $SAVE \
    -lr 0.001 -gc 20  -e 100 --batch_size 32 \
    --rnn_type sru --fusion_rea

Community Discussions

Trending Discussions on DrQA

Facebook DrQA error - Object arrays cannot be loaded when allow_pickle=False

QUESTION

Facebook DrQA error - Object arrays cannot be loaded when allow_pickle=False

Asked 2020-Jan-30 at 14:31

I have installed DrQA - https://github.com/facebookresearch/DrQA

Now when I try to run it I get the following error:

...

ANSWER

Answered 2020-Jan-30 at 14:31

Change load_sparse_car function np.load(filename) to np.load(filename,allow_pickle=True) in utils.py.

https://github.com/facebookresearch/DrQA/issues/228

Source https://stackoverflow.com/questions/59933083

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

Vulnerabilities

No vulnerabilities reported

Install DrQA

You can download it from GitHub.
You can use DrQA 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.