chaii - hindi & tamil question answering

Last update: Dec 18, 2022

Overview

chaii - hindi & tamil question answering

This is the solution for rank 5th in Kaggle competition: chaii - Hindi and Tamil Question Answering. The competition can be found here: https://www.kaggle.com/c/chaii-hindi-and-tamil-question-answering

Datasets required

Download squadv2 data from https://rajpurkar.github.io/SQuAD-explorer/

$ mkdir input && cd input
$ wget https://rajpurkar.github.io/SQuAD-explorer/dataset/train-v2.0.json
$ wget https://rajpurkar.github.io/SQuAD-explorer/dataset/dev-v2.0.json

Download tydiqa data in the input folder:

$ wget https://storage.googleapis.com/tydiqa/v1.1/tydiqa-goldp-v1.1-train.json
$ wget https://storage.googleapis.com/tydiqa/v1.1/tydiqa-goldp-v1.1-dev.json

Download data from https://www.kaggle.com/tkm2261/google-translated-squad20-to-hindi-and-tamil to input folder

Download original competition dataset to input folder: https://www.kaggle.com/c/chaii-hindi-and-tamil-question-answering/data

Download outputs of this kernel: https://www.kaggle.com/rhtsingh/external-data-mlqa-xquad-preprocessing/ to input folder

Now, you have all the data needed to train the model. We will first create folds and munge the data a bit.

To create folds, please use the following command:

$ cd src
$ python create_folds.py

To munge the datasets and prepare for training, please run the following command:

$ cd src
$ python munge_data.py

Training

There are two GPU models and one model needs TPUs.

GPU models: XLM-Roberta & Rembert TPU model: Muril-Large

XLM-Roberta:

$ cd src
$ TOKENIZERS_PARALLELISM=false python xlm_roberta.py --fold 0
$ TOKENIZERS_PARALLELISM=false python xlm_roberta.py --fold 1
$ TOKENIZERS_PARALLELISM=false python xlm_roberta.py --fold 2
$ TOKENIZERS_PARALLELISM=false python xlm_roberta.py --fold 3
$ TOKENIZERS_PARALLELISM=false python xlm_roberta.py --fold 4

Rembert:

$ cd src
$ TOKENIZERS_PARALLELISM=false python rembert.py --fold 0
$ TOKENIZERS_PARALLELISM=false python rembert.py --fold 1
$ TOKENIZERS_PARALLELISM=false python rembert.py --fold 2
$ TOKENIZERS_PARALLELISM=false python rembert.py --fold 3
$ TOKENIZERS_PARALLELISM=false python rembert.py --fold 4

Muril-Large

** please note that training this model needs TPUs **

$ cd src
$ TOKENIZERS_PARALLELISM=false python muril_large.py --fold 0
$ TOKENIZERS_PARALLELISM=false python muril_large.py --fold 1
$ TOKENIZERS_PARALLELISM=false python muril_large.py --fold 2
$ TOKENIZERS_PARALLELISM=false python muril_large.py --fold 3
$ TOKENIZERS_PARALLELISM=false python muril_large.py --fold 4

Inference

After training all the models, the outputs were pushed to Kaggle Datasets.

The final model datasets can be found here:

- https://www.kaggle.com/abhishek/xlmrobertalargewithsquadv2tydiqasqdtrans384f
- https://www.kaggle.com/ubamba98/modelsrembertwithsquadv2tydiqa384
- https://www.kaggle.com/ubamba98/murillargecasedchaii

And the final inference kernel can be found here: https://www.kaggle.com/abhishek/chaii-xlm-roberta-x-muril-x-rembert-score-based

Solution writeup: https://www.kaggle.com/c/chaii-hindi-and-tamil-question-answering/discussion/288049

chaii - hindi & tamil question answering

Related tags

Overview

chaii - hindi & tamil question answering

Datasets required

Training

XLM-Roberta:

Rembert:

Muril-Large

Inference

Owner

abhishek thakur

Simple python code to fix your combo list by removing any text after a separator or removing duplicate combos

Search msDS-AllowedToActOnBehalfOfOtherIdentity

本项目是作者们根据个人面试和经验总结出的自然语言处理(NLP)面试准备的学习笔记与资料，该资料目前包含自然语言处理各领域的面试题积累。

Creating an LSTM model to generate music

Ceaser-Cipher - The Caesar Cipher technique is one of the earliest and simplest method of encryption technique

多语言降噪预训练模型MBart的中文生成任务

Translates basic English sentences into the Huna language (hoo-NAH)

PortaSpeech - PyTorch Implementation

This repo contains simple to use, pretrained/training-less models for speaker diarization.

Code for our paper "Transfer Learning for Sequence Generation: from Single-source to Multi-source" in ACL 2021.

Unsupervised text tokenizer for Neural Network-based text generation.

A program that uses real statistics to choose the best times to bet on BloxFlip's crash gamemode

customer care chatbot made with Rasa Open Source.

This repository serves as a place to document a toy attempt on how to create a generative text model in Catalan, based on GPT-2

The code for the Subformer, from the EMNLP 2021 Findings paper: "Subformer: Exploring Weight Sharing for Parameter Efficiency in Generative Transformers", by Machel Reid, Edison Marrese-Taylor, and Yutaka Matsuo

Python library to make development of portfolio analysis faster and easier

Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech tagging and word segmentation.

Uncomplete archive of files from the European Nopsled Team

PyTorch implementation of NATSpeech: A Non-Autoregressive Text-to-Speech Framework

Signature remover is a NLP based solution which removes email signatures from the rest of the text.

chaii - hindi & tamil question answering

Related tags

Overview

chaii - hindi & tamil question answering

Datasets required

Training

XLM-Roberta:

Rembert:

Muril-Large

Inference

Owner

abhishek thakur

Simple python code to fix your combo list by removing any text after a separator or removing duplicate combos

Search msDS-AllowedToActOnBehalfOfOtherIdentity

本项目是作者们根据个人面试和经验总结出的自然语言处理(NLP)面试准备的学习笔记与资料，该资料目前包含 自然语言处理各领域的 面试题积累。

Creating an LSTM model to generate music

Ceaser-Cipher - The Caesar Cipher technique is one of the earliest and simplest method of encryption technique

多语言降噪预训练模型MBart的中文生成任务

Translates basic English sentences into the Huna language (hoo-NAH)

PortaSpeech - PyTorch Implementation

This repo contains simple to use, pretrained/training-less models for speaker diarization.

Code for our paper "Transfer Learning for Sequence Generation: from Single-source to Multi-source" in ACL 2021.

Unsupervised text tokenizer for Neural Network-based text generation.

A program that uses real statistics to choose the best times to bet on BloxFlip's crash gamemode

customer care chatbot made with Rasa Open Source.

This repository serves as a place to document a toy attempt on how to create a generative text model in Catalan, based on GPT-2

The code for the Subformer, from the EMNLP 2021 Findings paper: "Subformer: Exploring Weight Sharing for Parameter Efficiency in Generative Transformers", by Machel Reid, Edison Marrese-Taylor, and Yutaka Matsuo

Python library to make development of portfolio analysis faster and easier

Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech tagging and word segmentation.

Uncomplete archive of files from the European Nopsled Team

PyTorch implementation of NATSpeech: A Non-Autoregressive Text-to-Speech Framework

Signature remover is a NLP based solution which removes email signatures from the rest of the text.

本项目是作者们根据个人面试和经验总结出的自然语言处理(NLP)面试准备的学习笔记与资料，该资料目前包含自然语言处理各领域的面试题积累。