Jeremy For SMU School

README.md

@@ -10,7 +10,6 @@ language:
 # StickerQueries 🧷🗨️
 
 **StickerQueries** is a multilingual dataset for sticker query generation and retrieval. It features human-annotated query-sticker pairs that capture the expressive, emotional, and cultural semantics embedded in stickers.
-So far, the StickerQueries family has been downloaded over 200+ times!
 
 ## Dataset Structure
 
@@ -36,31 +35,20 @@ Each row in the CSV files includes:
 
 Explore the broader dataset: [U-Sticker](https://huggingface.co/datasets/metchee/u-sticker)
 
-## Update: V2
-We are working on an extended version and will update our labels into `_extended` folders/csv(s). Do stay tuned!
-
 ---
 
 ## Citation
 
-Our paper has been accepted at ACM Multimedia 2025!:-) If you find our work helpful, please do cite us with the following,
+If you use StickerQueries in your work, please cite us as:
 
 ```bibtex
-@inproceedings{10.1145/3746027.3758310,
-  author = {Chee, Heng Er Metilda and Wang, Jiayin and Guo, Zhiqiang and Ma, Weizhi and Zhang, Min},
-  title = {Small Stickers, Big Meanings: A Multilingual Sticker Semantic Understanding Dataset with a Gamified Approach},
-  year = {2025},
-  isbn = {9798400720352},
-  publisher = {Association for Computing Machinery},
-  address = {New York, NY, USA},
-  url = {https://doi.org/10.1145/3746027.3758310},
-  doi = {10.1145/3746027.3758310},
-  abstract = {Stickers, though small, are a highly condensed form of visual expression, ubiquitous across messaging platforms and embraced by diverse cultures, genders, and age groups. Despite their popularity, sticker retrieval remains an underexplored task due to the significant human effort and subjectivity involved in constructing high-quality query-sticker datasets. Although large language models (LLMs) excel at general NLP tasks, they falter when confronted with the nuanced, intangible, and highly specific nature of sticker query generation. To address the challenge of collecting diverse and contextually appropriate sticker search queries, we introduce Sticktionary, a gamified annotation framework designed to elicit high-quality, semantically rich queries from contributors. Using this framework, we construct StickerQueries, a multilingual dataset comprising 1,115 English and 615 Chinese sticker search queries, annotated by over 60 contributors across more than 60 hours of annotation. We demonstrate the utility of StickerQueries in several downstream tasks, including query generation and sticker retrieval. Through comprehensive quantitative and qualitative evaluations, we demonstrate that StickerQueries significantly improves the quality of query generation, retrieval accuracy, and semantic understanding within the sticker domain. To support future research, we publicly release the multilingual StickerQueries dataset and two fine-tuned query generation models. Additional experiments and supplementary case studies can be found here.},
-  booktitle = {Proceedings of the 33rd ACM International Conference on Multimedia},
-  pages = {13457–13463},
-  numpages = {7},
-  keywords = {heng er metilda chee, jiayin wang, min zhang, weizhi ma, zhiqiang guo},
-  location = {Dublin, Ireland},
-  series = {MM '25}
+@misc{chee2025smallstickersbigmeanings,
+      title={Small Stickers, Big Meanings: A Multilingual Sticker Semantic Understanding Dataset with a Gamified Approach}, 
+      author={Heng Er Metilda Chee and Jiayin Wang and Zhiqiang Guo and Weizhi Ma and Min Zhang},
+      year={2025},
+      eprint={2506.01668},
+      archivePrefix={arXiv},
+      primaryClass={cs.MM},
+      url={https://arxiv.org/abs/2506.01668}, 
 }
 ```

sticker_queries_en_release.csv

@@ -214,10 +214,10 @@ sticker_id,labeled_queries
 2193800188773012057.gif,"cry, tears down my eyes, lying on pool of tears, cat in pool of tears"
 2193800188773013007.png,"eating, eat pikachu cookie, nom, munching, nom nom, munching on cookie, delicious, hungry, chewing"
 2211893026270216218.png,"crying, sobbing, sad, anime character crying, embarrased cry, shy, sad anime character, crying eyes, tears, water in my eyes, blonde anime character crying"
-2267317642194845748.gif,"middle finger, troll face, screw you"
+2267317642194845748.gif,"middle finger, troll face, Fuck you"
 2267317642194845756.gif,"throw sad bag, feeling lonely, urgh, alone, only me, like this lol, like that lol, back towards you, back towards, showing back"
 2267317642194845781.gif,"wink, if you know you know, stupidify"
-2267317642194845796.gif,"flute, gorrila, harembe, screw you, Talk cock"
+2267317642194845796.gif,"flute, gorrila, harembe, Fuck you, Talk cock"
 2267317642194845814.gif,"twerking, black bird, thumbs up, Black duck, Shake butt"
 227521399969809576.png,"cry in my own tears, sitting in my own tears, sad max, sad, super sad"
 234944112774611759.gif,"lick, disgusting, noice, nice, yummy, blue animal, lick your face, lick screen, tasty"
@@ -1104,7 +1104,7 @@ sticker_id,labeled_queries
 889097267229753411.gif,"Oh, oh, OH"
 889097267229753412.gif,"Yes, I love it!, ok, great, awesome!, ofc!, of course, yes, right, indeed, blue text, blue yes, yes text"
 889097267229753415.gif,"LOL, >_<, lol, lol😂, >u<, laugh out loud, laughing out loudly"
-889097267229753423.gif,"What the F**K, wth, what the f, ???"
+889097267229753423.gif,"What the F**K, WTF, wtf, what the f, ???"
 889097267229753429.gif,"OMGGGGG!, omg!, OMG, oh my god, !!!"
 891885078961979557.gif,"brainaic, im the smart one, im psycho, got psychic, can read your mind, reading mind, thinking, telepathy, telepatic, im a thinker, brainwaves, thinking hard, psycho duck, telepathic duck, sending brainwaves duck"
 919985748604617720.gif,"kowtao, wahahahah, laugh cry die me, laughing so hard, hit the floor while laughing, whahahahaha, lmao, pikachu lmao, laughing on my knees, hahaha"

sticker_queries_extended_en_release.csv

@@ -1,48 +0,0 @@
-sticker_id,labeled_queries
-353547126392750436.gif,"sad, damn"
-359258651212383517.png, "cry, sad, tears"
-575666406691967042.gif, "swinging, happy, yay"
-575666406691967205.gif, "bew, love you!, love, kisses, xoxo, mua"
-672345197106954764.png, "sad, cry, wuwu, depressed, feeling down"
-908352511855824843.gif, "sad, damn"
-1043703381077524701.png, "are you sure, skeptical, unsure, uncertain"
-1043703381077524779.png, "um, roll eyes"
-1137162165791227928.gif, "haha, tears of joy, laughing, lol"
-1220028319907448892.gif, "joyful, haha, happy, yay, smiling"
-1688818743225877023.gif, "gross, puke, disgusting, stomach flip"
-1801939437249101857.gif, "swinging, happy, yay"
-1801939437249101878.gif, "blow fan, relax, chill"
-1801939437249101878.gif, "blow fan, relax, chill"
-2124661471689311590.png, "yawn, sleepy, boring"
-2193800188773013179.gif, "spinning, yay, sparkles, hooray, awesome"
-2193800188773013375.gif, "swinging, happy, yay"
-4031086588392898964.gif, "sad, damn"
-4110987462728221018.gif, "sad, wa, crying, upset, disappointed"
-4397782731392549014.png, "im ok, im fine, this is fine, sad, silently dying"
-5129967753624552159.png, "gross, puke, disgusting, stomach flip"
-5244555157504530660.png, "sad, stickman"
-5249206684395519221.png, "hehe, big eyes, curious"
-5328265783795521190.gif, "desperate, bawling, sad, pepe"
-5440777756398848195.gif, "cool, awesome, bling, shades, dope"
-5764614214593285315.png, "hehehe, anya, i see through you, steathy eyes, smirk"
-5767260335354417975.gif, "sad, damn"
-5769305212233715183.png, "internally screaming, internal dead"
-5787293347018184373.gif, "nom nom nom, eating"
-5807462066763598877.png, "sipping tea, drinking bubble tea, bbt, bubble tea time"
-5830199825492085559.gif, "sleepy, sleep, good night, yawn, tired"
-5886709753882611879.png, "hehehe, don't think i dont know, shify eyes, anya"
-5888702786211678440.gid, "hahaha, happy, smile, yay"
-5897689524242221957.png, "gross, puke, disgusting, stomach flip"
-5924548918271544949.png, "cries in a cool way, handsome cry"
-5942922019564686893.png, "gm, prawn, cool"
-5967491478765701666.gif, "blow fan, relax"
-5987554692639494010.png, "sad, upset, crying, baby"
-6021555470525794374.png, "yay, happy, >w<"
-6041832973202886166.gif, "swinging, happy, yay"
-6042137593758354487.gif, "swinging, happy, yay"
-6233005493715993516.gif, "sad, damn, dancing sad"
-6262641455253163706.png, "aaaaaa, why, !!"
-6307712442625425822.png, "hug, yay, happy"
-6073602464039307215.webm, "swinging fish, moyu"
-6129876903667962840.webm, "relax, lying down, so tired, dead"
-6041713581701992064.webm, "crying, sad, baby, upset"

stickers/6034983161790729959.webm

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:623887ee29fb8315127335316a1d55908fc55f8319d3cf7e47df05797568bc3a
-size 37011
+oid sha256:448081a5c40625967c2ac16c35e29a6a2d7b0ea1b1427d7f3a3d8e39f7d0f4f9
+size 7925

stickers_extended/4997015572098057040.webm

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:1d8ceada53f0c6170d0d348d6fbedb418944164fdd38ab51feb77440575b6563
-size 154217

stickers_extended/5240155272747431499.webm

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:1f44a0503f79f0ac4302b6666be86ba5f6c61db3b09a398536e6fe1137dfb4ae
-size 261274

stickers_extended/5398070804925660457.webm

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:8e803e8ce34d5497ebf85b04378a2236599dbc2fa44fdaf143bd8852387fc6b5
-size 253608

stickers_extended/5816932611385200382.webm

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:176ed8e1f055d3eb7cb53d86f37c0ede9d2fdb7ed57788e7f3608ece2796412b
-size 168204

stickers_extended/5850526574264192030.webm

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:4ec93e3b01d3bbce9e28a2cf6cfab7c2656fc8d28b1be76770c5fe37c3d8c1af
-size 21595

stickers_extended/5904595389272559178.webm

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:6149fefcfbb999eefba602f9cad6e7668dcd8dac5670f78c60ba5f7eee8a20e2
-size 42502

stickers_extended/5922656224968445801.webm

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:accdbe2bee25ac69cd6c30b176b3db9d0028932aff4e405c9226ad017e468af0
-size 78945