Simple Question Answering With Memory Networks

Name: jerryzhao-z/simple-question-answering-with-memory-networks
Author: Jerryzhao-z

Create the SETTINGS.json file in the root of the project containing settings from the SETTINGS.json.example. One have to specify location of all datasets and other local configuration information.

Create the SETTINGS.json file in the root of the project containing settings from the SETTINGS.json.example. One have to specify location of all datasets and other local configuration information.

Features

Evaluation Benchmarks - Dataset for simple question answering tasks.

Projects sharing features with Simple Question Answering With Memory Networks

These projects share indexed features with Simple Question Answering With Memory Networks. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.

asknowqa/lc-quad
AskNowQA/LC-QuAD
98View on GitHub
This code aims to convert a valid SPARQL query into a (or many) natural language questions. The incentive is to create a good dataset for QA system training, and achieve a scale which helps Neural Network based QA Systems too. We do this mostly by converting the query into a pseudo natural…
View on GitHub98
dki-lab/grailqa
dki-lab/GrailQA
111View on GitHub
This repository is structured as follows:
Python
View on GitHub111
graphrag-bench/graphrag-benchmark
GraphRAG-Bench/GraphRAG-Benchmark
448View on GitHub
🧩Task Examples
Python
View on GitHub448
amazon-science/mintaka
amazon-science/mintaka
119View on GitHub
Mintaka is a complex, natural, and multilingual question answering (QA) dataset composed of 20,000 question-answer pairs elicited from MTurk workers and annotated with Wikidata question and answer entities. Full details on the Mintaka dataset can be found in our paper:…
Python
View on GitHub119

Frequently asked questions

What does jerryzhao-z/simple-question-answering-with-memory-networks do?

Create the SETTINGS.json file in the root of the project containing settings from the SETTINGS.json.example. One have to specify location of all datasets and other local configuration information.

What are the main features of jerryzhao-z/simple-question-answering-with-memory-networks?

The main features of jerryzhao-z/simple-question-answering-with-memory-networks are: Evaluation Benchmarks.

Which projects share features with jerryzhao-z/simple-question-answering-with-memory-networks?

Projects with overlapping indexed features include: amazon-science/mintaka — Mintaka is a complex, natural, and multilingual question answering (QA) dataset composed of 20,000 question-answer… asknowqa/lc-quad — This code aims to convert a valid SPARQL query into a (or many) natural language questions. The incentive is to create… dki-lab/grailqa — This repository is structured as follows:. graphrag-bench/graphrag-benchmark — 🧩Task Examples. irenezihuili/cgprompt — This is the GitHub repo for the paper submission. jaylzhou/graphrag — If you find our work helpful, please kindly cite our paper.

Jerryzhao-zsimple-question-answering-with-memory-networks