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---
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-*
---