AIO2_DPR_baseline | https : //www.nlp.ecei.tohoku.ac.jp/projects/aio/

by cl-tohoku Python Version: v0.0.1 License: No License

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

kandi X-RAY | AIO2_DPR_baseline Summary

AIO2_DPR_baseline is a Python library. AIO2_DPR_baseline has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

https://www.nlp.ecei.tohoku.ac.jp/projects/aio/

Support

Quality

Security

License

Reuse

Support

AIO2_DPR_baseline has a low active ecosystem.

It has 12 star(s) with 0 fork(s). There are 6 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 2 have been closed. On average issues are closed in 31 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of AIO2_DPR_baseline is v0.0.1

Quality

AIO2_DPR_baseline has no bugs reported.

Security

AIO2_DPR_baseline has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

AIO2_DPR_baseline does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

AIO2_DPR_baseline releases are available to install and integrate.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed AIO2_DPR_baseline and discovered the below as its top functions. This is intended to give you an instant insight into AIO2_DPR_baseline implemented functionality, and help decide if they suit your requirements.

Validate average rank
Generate a list of all gather objects
Iterate over the data
Reset the negative ctxs
Validate the learner
Create reader input
Normalize an answer
Converts the retrieved results to a list of dicts
Run train
Validate the average rank
Create an argument parser
Adds training parameters to the argument parser
Run train method
Validate the dataset
Create a BiEncoderInput
Normalizes question
Get Biencoder components
Read the questions from a file
Calculate best match results
Return n - grams
Saves results to a file
Add training parameters to argparse
Generate passage definitions from a file
Converts the retrieved results into a list of results
Validate the NLL
Create index
Read ctx file
Generate the query vectors for the given list of questions
Generate the ctx vectors
Index data in DNS

Get all kandi verified functions for this library.

AIO2_DPR_baseline Key Features

No Key Features are available at this moment for AIO2_DPR_baseline.

AIO2_DPR_baseline Examples and Code Snippets

Dense Passage Retrieval,Retriever

Python

Lines of Code : 51

License : No License

Copy

# 実行例

$ exp_name="baseline"
$ config_file="scripts/configs/retriever_base.json"

$ bash scripts/retriever/train_retriever.sh \
    -n $exp_name \
    -c $config_file

# 実行結果

$ ls $DIR_DPR/$exp_name/retriever
    dpr_biencoder.*.*.pt            # モデ

Dense Passage Retrieval,Reader

Python

Lines of Code : 42

License : No License

Copy

# 実行例

$ exp_name="baseline"
$ config_file="scripts/configs/reader_base.json"
$ train_file="path/to/retrieved/train/file"
$ dev_file="path/to/retrieved/dev/file"

$ bash scripts/reader/train_reader.sh \
    -n $exp_name \
    -c $config_file \
    -t

データセット,学習データ

Python

Lines of Code : 21

License : No License

Copy

{
    "question": "明治時代に西洋から伝わった「テーブル・ターニング」に起源を持つ占いの一種で、50音表などを記入した紙を置き、参加者全員の人差し指をコインに置いて行うのは何でしょう?",
    "answers": [
        "コックリさん"
    ],
    "positive_ctxs": [
        {
            "id": 278397,
            "title": "コックリさん",
            "te

Community Discussions

No Community Discussions are available at this moment for AIO2_DPR_baseline.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install AIO2_DPR_baseline

You can download it from GitHub.
You can use AIO2_DPR_baseline 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

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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