Evaluation of Natural language Inference datasets on State of the art models and their combinations and ensembles. Most of the times models work good only on some datasets but t to be appplicable in real life it needs to be give a decent performance on others too. This repository is dedicted on training the models on one datasets and testing on others.
For downloading and obtaining formatted SNLI and MultiNLI datasets run the following:*
chmod u+r+x get_transfer_data.bash
./get_transfer_data.bashHans.txt is HANS dataset in Json format, simply convert it to a pandas dataframe and use it accordingly:*
import pandas as pd
read_file = pd.read_csv('path_to_hans.txt',delimiter='\t')Allen NLP model is trained on SNLI datasets to test it on Hans and MLNI datasets run the notebooks added accordingly.
InferSent is a sentence embeddings method that provides semantic representations for English sentences. It is trained on natural language inference data and generalizes well to many different tasks. To test it on MultiNLI dataset and HANS replace SNLI dataset files with corresponding files and test it either using notebook added or following instructions on their repository.