julien-c/reactiongif-roberta
Text Classification
•
Updated
•
17
•
2
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 |
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:
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}
}