# MultiGLUE
# A dataset consisting of all binary classification GLUE tasks

import os
import json

import datasets


class MultiGLUE(datasets.GeneratorBasedBuilder):
    def _info(self):
        return datasets.DatasetInfo(
            description='A dataset consisting of all binary classification GLUE tasks',
            features=datasets.Features({
                'task': datasets.Value('string'),
                'sentence1': datasets.Value('string'),
                'sentence2': datasets.Value('string'),
                'label': datasets.ClassLabel(num_classes=2)
            })
        )

    def _split_generators(self, dl_manager):
        data_files = dl_manager.download_and_extract({
            'train': 'train.json',
            'validation': 'validation.json',
            'test': 'test.json'
        })
        return [
            datasets.SplitGenerator(
                name=datasets.Split.TRAIN,
                gen_kwargs={'filepath': data_files['train']}
            ),
            datasets.SplitGenerator(
                name=datasets.Split.VALIDATION,
                gen_kwargs={'filepath': data_files['validation']}
            ),
            datasets.SplitGenerator(
                name=datasets.Split.TEST,
                gen_kwargs={'filepath': data_files['test']}
            )
        ]

    def _generate_examples(self, filepath):
        with open(filepath) as f:
            for key, row in enumerate(f):
                yield key, json.loads(row)