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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 1 new columns ({'text'})

This happened while the json dataset builder was generating data using

hf://datasets/julien-c/reactiongif/ReactionGIF.json (at revision 968eb67fdb0314e80ae9222cd2f60077db7dd4f5)

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              idx: int64
              original_id: string
              reply_id: string
              label: string
              text: string
              to
              {'idx': Value(dtype='int64', id=None), 'original_id': Value(dtype='string', id=None), 'reply_id': Value(dtype='string', id=None), 'label': Value(dtype='string', id=None)}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1321, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 935, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2013, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 1 new columns ({'text'})
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/julien-c/reactiongif/ReactionGIF.json (at revision 968eb67fdb0314e80ae9222cd2f60077db7dd4f5)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

idx
int64
original_id
string
reply_id
string
label
string
1
1251002127284965377
1251025703295803394
no
4
1251203125693874181
1251227867154874368
yes
6
1250849171541766147
1250950908097310722
oops
7
1250975200226824196
1251101428745207809
hug
12
1250839031048331266
1250940846771503104
no
16
1250776257521909760
1250978455623065600
agree
17
1250433421165211650
1250863115643891712
eww
21
1251181023083151360
1251181632196837378
sigh
23
1250976504139440137
1250979041856958467
popcorn
24
1251241543563972609
1251242295673921545
agree
27
1251029874908606464
1251034179401158656
applause
28
1251179642456813572
1251189600946618368
agree
29
1250858895066542080
1250908746802499586
agree
30
1251271089503666176
1251272289049628673
agree
31
1250948840926011392
1250962477178740736
agree
33
1251075040008982528
1251077768432893952
agree
34
1250827113126604800
1250860331620073472
seriously
38
1250939444426915846
1250940503371255808
yawn
39
1251076211301703680
1251093927454576642
seriously
42
1250912357833793536
1250920376344838145
applause
43
1250944986822082562
1250956269202128896
mic_drop
45
1251240888426168320
1251246597322821632
facepalm
47
1251252486540873731
1251252839281840129
shrug
50
1250963546474676225
1251142840555577344
yes
53
1251002127284965377
1251117231485759489
no
55
1250954955634233351
1251055975013871616
slow_clap
56
1250851088254660609
1250894191695024128
applause
57
1250807811585404929
1250907868829810699
facepalm
59
1251020660161347585
1251136799113646080
hug
62
1250906370313818112
1250907195539103745
yes
64
1251035964581052416
1251036352788996098
hug
65
1250964224446103554
1250965042264190978
yes
66
1250884375258030081
1250905819446743043
shocked
68
1251164274610728961
1251251025140420612
applause
72
1250722214334197761
1250888022490443776
agree
73
1251085815406526465
1251118692043194370
applause
74
1251145468475662341
1251145946747944962
hug
75
1251142203897856002
1251173837418295296
hug
76
1250995089159139331
1250996821167669251
sigh
77
1251237173166313473
1251246280724164608
wink
78
1251159560854728705
1251170196347330561
applause
81
1250933932939292673
1250934590228664326
yes
82
1250994387967971328
1250995642434011137
please
83
1251222580763262976
1251236084417257473
yes
84
1250881730166132737
1251021548267294720
hug
85
1251226995486330880
1251234924654297088
facepalm
87
1251130170494328834
1251147367568429060
agree
88
1250897910386081792
1250934242055540738
eye_roll
89
1250831097262485509
1250832125667930115
shocked
92
1250855463228325889
1250967663863447553
agree
99
1250973882497941504
1250975295856836608
you_got_this
103
1250877527544999938
1250965983369584641
agree
104
1250639565200785408
1250968221802471425
yes
105
1250907580169203712
1250912369233891331
scared
106
1251220159446081537
1251258145587949568
applause
108
1250949768098000904
1250954687597215744
scared
109
1251097249297379331
1251111430922829827
high_five
110
1250526816806342656
1250886906872598528
facepalm
111
1250853203106828290
1250853323793592320
applause
112
1251229395777249280
1251254273591185411
yawn
115
1250949132199571457
1250951297634840582
popcorn
117
1250859862554218496
1250868955134246912
thumbs_up
118
1251243389003141123
1251243549787635718
agree
120
1251023357442764800
1251215122103754752
no
121
1250881760172228608
1250955245913427975
kiss
122
1250535339506176001
1250867151818260480
agree
124
1251075500602056704
1251075633406308352
yes
125
1250849742789189632
1250851808857251841
sigh
126
1250862813867913217
1250896050317144065
awww
129
1250877183670788102
1250903203723579392
eww
130
1251130742219984898
1251135716114878470
no
131
1251168546702479364
1251176220605272065
no
133
1251002127284965377
1251018040344338432
no
134
1249723417298862080
1251260515306766336
applause
140
1251193904629796867
1251200200867184640
applause
145
1250889533110935552
1250917216616398851
yes
149
1251135360048017408
1251139399514910720
hug
152
1250645270704029696
1250833026608771072
yes
153
1250856368229224449
1250935289524228096
hug
155
1251111222851694592
1251112376851562497
agree
156
1250790050364829698
1250990329521532928
no
159
1250847765644447745
1250891376142643200
slow_clap
162
1250914148843532289
1251094369593155585
wink
164
1251075446034186240
1251226495630090247
applause
169
1251001292480294912
1251001921868972034
applause
171
1250793091117780992
1250951568263745536
ok
172
1251199372773261313
1251200341544185857
shocked
173
1250808413136850945
1251022240055005185
oops
175
1250595555409002499
1250877535971414016
popcorn
176
1251169987110330372
1251211540415438848
eye_roll
177
1250808318936965120
1250984682835120129
popcorn
178
1250995667583016964
1251158921395335171
no
179
1251170697826754563
1251176468429840384
shocked
181
1250632271658287104
1250969864329519104
yes
182
1251176765550137344
1251231704158740484
yes
183
1251070676938547201
1251075142421147654
sigh
184
1251219839844265988
1251220882942390272
hug
187
1250360049567969280
1250858782994956288
applause
192
1251223959141380096
1251233878532030466
you_got_this
193
1251193980265672704
1251227900235284483
awww
End of preview.

ReactionGIF

From https://github.com/bshmueli/ReactionGIF

gif


Excerpt from original repo readme

ReactionGIF is a unique, first-of-its-kind dataset of 30K sarcastic tweets and their GIF reactions.

To find out more about ReactionGIF, check out our ACL 2021 paper:

Citation

If you use our dataset, kindly cite the paper using the following BibTex entry:

@misc{shmueli2021happy,
      title={Happy Dance, Slow Clap: Using Reaction {GIFs} to Predict Induced Affect on {Twitter}}, 
      author={Boaz Shmueli and Soumya Ray and Lun-Wei Ku},
      year={2021},
      eprint={2105.09967},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}
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