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for question_type in ["How", "What", "Is"]:
    for question in (
        dfs["train"][dfs["train"].question.str.startswith(question_type)]
        .sample(n=3, random_state=42)['question']):
        print(question)

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from datasets import load_dataset

def validate_datasets(reference_dataset, new_dataset):
    """Validate the column names and rows of the new dataset"""
    splits = list(reference_dataset.keys())
    for split in splits:
        ref_dset = reference_dataset[split]
        new_dset = new_dataset[split]
        # Check column names agree
        ref_cols = set(ref_dset.column_names)

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{"data": [{"title": "B00001WRSJ", "paragraphs": [{"qas": [{"question": "What is the tonal balance of these headphones?", "id": "d0781d13200014aa25860e44da9d5ea7", "answers": [{"text": "I have been a headphone fanatic for thirty years", "answer_start": 0}], "is_impossible": false}], "context": "I have been a headphone fanatic for thirty years and have owned and used a variety of headphones over those years, to include Stax SR-5, Sennheiser HD-424 and HD-580.  The Sony MDRV6 excells as the best value of any headphone that I've ever owned.  They are especially good at producing natural-sounding deep bass, and the overall octave-to-octave balance is excellent.  The sound quality is all in all comparable to other headphones that cost considerably more.The MDRV6 is especially well-suited for travel due to the collapsible design, and for noisy environments or for quiet environments such as a library where the sound emitted by open-back headphones would distract others.The MDRV6 is not quite as comfortable as some ot

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.PHONY: install

#################################################################################
# GLOBALS                                                                       #
#################################################################################
SHELL=/bin/bash
CONDA_ACTIVATE=source $$(conda info --base)/etc/profile.d/conda.sh ; conda activate ; conda activate

#################################################################################
# COMMANDS                                                                      #

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# Copyight 2016 drivendata
# Copyright 2019 fast.ai
# Copyright 2020 Lewis Tunstall

# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at

#    http://www.apache.org/licenses/LICENSE-2.0

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sample

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sample