Suite of 500 procedurally-generated NLP tasks to study language model adaptability

Overview

TaskBench500

The TaskBench500 dataset and code for generating tasks.

Data

The TaskBench dataset is available under

wget http://web.mit.edu/bzl/www/TaskBench500/TaskBenchData.tar.gz
tar -xzvf TaskBenchData.tar.gz

The file structure looks as follows:

.
├── atomic                      # atomic tasks
├── seq_composite               # sequential compositional tasks
│   ├── filter                  # tasks of the form filter{λx.F(x)}(S)
│   ├── map                     # tasks of the form map{λx.F(x)}(S)
│   └── mapfilter               # tasks of the form map{λx.F(x)}(filter{λx.F(x)}(S))
└── word_composite              # word-level compositional tasks
    ├── chaining                # tasks of the form F(F')
    ├── intersection            # tasks of the form F∩F'
    ├── land                    # tasks of the form F∧F'
    ├── lor                     # tasks of the form F∨F'
    └── union                   # tasks of the form F∪F'

where F and F' are arbitrary word-level functions.

Dataset Creation Procedure

Coming soon.

Training a Model

Coming soon.

Owner
Belinda Li
Belinda Li
Interactive dimensionality reduction for large datasets

BlosSOM 🌼 BlosSOM is a graphical environment for running semi-supervised dimensionality reduction with EmbedSOM. You can use it to explore multidimen

19 Dec 14, 2022
frida工具的缝合怪

fridaUiTools fridaUiTools是一个界面化整理脚本的工具。新人的练手作品。参考项目ZenTracer,觉得既然可以界面化,那么应该可以把功能做的更加完善一些。跨平台支持:win、mac、linux 功能缝合怪。把一些常用的frida的hook脚本简单统一输出方式后,整合进来。并且

diveking 997 Jan 09, 2023
Learning from Synthetic Humans, CVPR 2017

Learning from Synthetic Humans (SURREAL) Gül Varol, Javier Romero, Xavier Martin, Naureen Mahmood, Michael J. Black, Ivan Laptev and Cordelia Schmid,

Gul Varol 538 Dec 18, 2022
The implementation of the paper "A Deep Feature Aggregation Network for Accurate Indoor Camera Localization".

A Deep Feature Aggregation Network for Accurate Indoor Camera Localization This is the PyTorch implementation of our paper "A Deep Feature Aggregation

9 Dec 09, 2022
Melanoma Skin Cancer Detection using Convolutional Neural Networks and Transfer Learning🕵🏻‍♂️

This is a Kaggle competition in which we have to identify if the given lesion image is malignant or not for Melanoma which is a type of skin cancer.

Vipul Shinde 1 Jan 27, 2022
Generating Images with Recurrent Adversarial Networks

Generating Images with Recurrent Adversarial Networks Python (Theano) implementation of Generating Images with Recurrent Adversarial Networks code pro

Daniel Jiwoong Im 121 Sep 08, 2022
An Open Source Machine Learning Framework for Everyone

Documentation TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, a

170.1k Jan 05, 2023
Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image Segmentation

DistMIS Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image Segmentation. DistriMIS Distributing Deep Learning Hyperparameter Tuning

HiEST 2 Sep 09, 2022
Final project for machine learning (CSC 590). Detection of hepatitis C and progression through blood samples.

Hepatitis C Blood Based Detection Final project for machine learning (CSC 590). Dataset from Kaggle. Using data from previous hepatitis C blood panels

Jennefer Maldonado 1 Dec 28, 2021
An efficient implementation of GPNN

Efficient-GPNN An efficient implementation of GPNN as depicted in "Drop the GAN: In Defense of Patches Nearest Neighbors as Single Image Generative Mo

7 Apr 16, 2022
IJCAI2020 & IJCV 2020 :city_sunrise: Unsupervised Scene Adaptation with Memory Regularization in vivo

Seg_Uncertainty In this repo, we provide the code for the two papers, i.e., MRNet:Unsupervised Scene Adaptation with Memory Regularization in vivo, IJ

Zhedong Zheng 348 Jan 05, 2023
《Geo Word Clouds》paper implementation

《Geo Word Clouds》paper implementation

Russellwzr 2 Jan 28, 2022
Discovering and Achieving Goals via World Models

Discovering and Achieving Goals via World Models [Project Website] [Benchmark Code] [Video (2min)] [Oral Talk (13min)] [Paper] Russell Mendonca*1, Ole

Oleg Rybkin 71 Dec 22, 2022
Serverless proxy for Spark cluster

Hydrosphere Mist Hydrosphere Mist is a serverless proxy for Spark cluster. Mist provides a new functional programming framework and deployment model f

hydrosphere.io 317 Dec 01, 2022
The Noise Contrastive Estimation for softmax output written in Pytorch

An NCE implementation in pytorch About NCE Noise Contrastive Estimation (NCE) is an approximation method that is used to work around the huge computat

Kaiyu Shi 287 Nov 25, 2022
PyTorch implementation of Memory-based semantic segmentation for off-road unstructured natural environments.

MemSeg: Memory-based semantic segmentation for off-road unstructured natural environments Introduction This repository is a PyTorch implementation of

11 Nov 28, 2022
Keras implementation of Real-Time Semantic Segmentation on High-Resolution Images

Keras-ICNet [paper] Keras implementation of Real-Time Semantic Segmentation on High-Resolution Images. Training in progress! Requisites Python 3.6.3 K

Aitor Ruano 87 Dec 16, 2022
The implement of papar "Enhanced Graph Learning for Collaborative Filtering via Mutual Information Maximization"

SIGIR2021-EGLN The implement of paper "Enhanced Graph Learning for Collaborative Filtering via Mutual Information Maximization" Neural graph based Col

15 Dec 27, 2022
This repository contains a re-implementation of the code for the CVPR 2021 paper "Omnimatte: Associating Objects and Their Effects in Video."

Omnimatte in PyTorch This repository contains a re-implementation of the code for the CVPR 2021 paper "Omnimatte: Associating Objects and Their Effect

Erika Lu 728 Dec 28, 2022
Racing line optimization algorithm in python that uses Particle Swarm Optimization.

Racing Line Optimization with PSO This repository contains a racing line optimization algorithm in python that uses Particle Swarm Optimization. Requi

Parsa Dahesh 6 Dec 14, 2022