Datasets:

julien-c
/

reactiongif

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)

Error code:   UnexpectedError

Need help to make the dataset viewer work? 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

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:

Shmueli, Ray and Ku, Happy Dance, Slow Clap: Using Reaction GIFs to Predict Induced Affect on Twitter

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}
}

Downloads last month: 5

Edit dataset card Papers with Code

Models trained or fine-tuned on julien-c/reactiongif

julien-c/reactiongif-roberta

Text Classification • Updated 9 days ago • 18 • 2