Update README.md

README.md

@@ -9,13 +9,22 @@ language:
 
 # StickerQueries 🧷🗨️
 
-StickerQueries is a multilingual dataset for sticker query generation and retrieval. It contains human-annotated query-sticker pairs that highlight the expressive, emotional, and cultural semantics embedded in stickers.
+**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.
 
 ## Dataset Structure
 
-- `stickers_queries_zh_released.csv`: Contains Chinese queries annotated for each sticker.
-- `stickers_queries_en_released.csv`: Contains English queries annotated for each sticker.
-- `stickers/`: Contains the associated sticker images, available in `.gif`, `.png`, or `.webm` formats.
+- `stickers_queries_zh_released.csv`: Chinese sticker annotations.
+- `stickers_queries_en_released.csv`: English sticker annotations.
+- `stickers/`: Sticker images in `.gif`, `.png`, or `.webm` formats.
+
+Each row in the CSV files includes:
+- `sticker_id`: The file path to the corresponding sticker image.
+- `labeled_queries`: A comma-separated list of sticker queries representing the intended emotion, tone, or expression.
+
+## Annotation Process
+
+- Each annotation was reviewed by at least **two people**.
+- In total, **42 English** and **18 Chinese** annotators contributed, with **over 60 hours** spent ensuring high-quality and diverse expressions.
 
 ## Looking for a sticker query generator?
 
@@ -24,7 +33,7 @@ StickerQueries is a multilingual dataset for sticker query generation and retrie
 
 ## Large-scale Sticker Dataset
 
-Explore the broader dataset here: [U-Sticker](https://huggingface.co/datasets/metchee/u-sticker)
+Explore the broader dataset: [U-Sticker](https://huggingface.co/datasets/metchee/u-sticker)
 
 ---
 
@@ -34,9 +43,9 @@ If you use StickerQueries in your work, please cite us as:
 
 ```bibtex
 @misc{huggingface-sticker-queries,
-  author = {Heng Er Metilda, Chee et al.},
-  title = {StickerQueries: A Multilingual Dataset for Sticker Query Generation and Retrieval},
-  year = {2024},
+  author = {Heng Er Metilda Chee, et al.},
+  title = {Tiny Stickers, Big Meanings: A Multilingual Sticker Semantic Understanding Dataset with a Gamified Approach},
+  year = {2025},
   publisher = {Hugging Face},
   howpublished = {\url{https://huggingface.co/datasets/metchee/sticker-queries}},
 }