--- dataset_info: features: - name: sentence1 dtype: string - name: sentence2 dtype: string - name: label dtype: class_label: names: '0': '[no-conn]' '1': absolutely, '2': accordingly '3': actually, '4': additionally '5': admittedly, '6': afterward '7': again, '8': already, '9': also, '10': alternately, '11': alternatively '12': although, '13': altogether, '14': amazingly, '15': and '16': anyway, '17': apparently, '18': arguably, '19': as_a_result, '20': basically, '21': because_of_that '22': because_of_this '23': besides, '24': but '25': by_comparison, '26': by_contrast, '27': by_doing_this, '28': by_then '29': certainly, '30': clearly, '31': coincidentally, '32': collectively, '33': consequently '34': conversely '35': curiously, '36': currently, '37': elsewhere, '38': especially, '39': essentially, '40': eventually, '41': evidently, '42': finally, '43': first, '44': firstly, '45': for_example '46': for_instance '47': fortunately, '48': frankly, '49': frequently, '50': further, '51': furthermore '52': generally, '53': gradually, '54': happily, '55': hence, '56': here, '57': historically, '58': honestly, '59': hopefully, '60': however '61': ideally, '62': immediately, '63': importantly, '64': in_contrast, '65': in_fact, '66': in_other_words '67': in_particular, '68': in_short, '69': in_sum, '70': in_the_end, '71': in_the_meantime, '72': in_turn, '73': incidentally, '74': increasingly, '75': indeed, '76': inevitably, '77': initially, '78': instead, '79': interestingly, '80': ironically, '81': lastly, '82': lately, '83': later, '84': likewise, '85': locally, '86': luckily, '87': maybe, '88': meaning, '89': meantime, '90': meanwhile, '91': moreover '92': mostly, '93': namely, '94': nationally, '95': naturally, '96': nevertheless '97': next, '98': nonetheless '99': normally, '100': notably, '101': now, '102': obviously, '103': occasionally, '104': oddly, '105': often, '106': on_the_contrary, '107': on_the_other_hand '108': once, '109': only, '110': optionally, '111': or, '112': originally, '113': otherwise, '114': overall, '115': particularly, '116': perhaps, '117': personally, '118': plus, '119': preferably, '120': presently, '121': presumably, '122': previously, '123': probably, '124': rather, '125': realistically, '126': really, '127': recently, '128': regardless, '129': remarkably, '130': sadly, '131': second, '132': secondly, '133': separately, '134': seriously, '135': significantly, '136': similarly, '137': simultaneously '138': slowly, '139': so, '140': sometimes, '141': soon, '142': specifically, '143': still, '144': strangely, '145': subsequently, '146': suddenly, '147': supposedly, '148': surely, '149': surprisingly, '150': technically, '151': thankfully, '152': then, '153': theoretically, '154': thereafter, '155': thereby, '156': therefore '157': third, '158': thirdly, '159': this, '160': though, '161': thus, '162': together, '163': traditionally, '164': truly, '165': truthfully, '166': typically, '167': ultimately, '168': undoubtedly, '169': unfortunately, '170': unsurprisingly, '171': usually, '172': well, '173': yet, - name: idx dtype: int32 - name: template_name dtype: string - name: template dtype: string - name: rendered_input dtype: string - name: rendered_output dtype: string splits: - name: test num_bytes: 1078132260.0 num_examples: 435000 - name: train num_bytes: 19403735460.0 num_examples: 7830000 - name: validation num_bytes: 1078056890.0 num_examples: 435000 download_size: 4045772130 dataset_size: 21559924610.0 configs: - config_name: default data_files: - split: test path: data/test-* - split: train path: data/train-* - split: validation path: data/validation-* ---