Update README.md

README.md

@@ -132,48 +132,6 @@ configs:
 ---
 =====================README====================
 
----
-dataset_info:
-  description: |
-    Polyvore‑1000 is a curated fashion dataset derived from the Maryland Polyvore dataset (Polyvore‑U), enriched with local images and structured for personalized recommendation tasks.
-  citation:
-    - "@inproceedings{han2017learning, author = {Han, Xintong and Wu, Zuxuan and Jiang, Yu‑Gang and Davis, Larry S}, title = {Learning Fashion Compatibility with Bidirectional LSTMs}, booktitle = {ACM Multimedia}, year = {2017}}"
-    - "@inproceedings{lu2019learning, author = {Lu, Zhi and Hu, Yang and Jiang, Yunchao and Chen, Yan and Zeng, Bing}, title = {Learning Binary Code for Personalized Fashion Recommendation}, booktitle = {CVPR}, year = {2019}}"
-    - "@misc{polyvore_original, title = {Polyvore – social fashion platform (archived)}, howpublished = {https://www.polyvore.com}, note = {Inspiration for dataset}}"
-
-dataset_creator:
-  - name: Xintong Han, Zuxuan Wu, Yu‑Gang Jiang, Larry S. Davis
-    affiliation: University of Maryland
-    contribution: Creators of the original Polyvore‑U splits used in the ACM MM 2017 study on fashion compatibility.
-  - name: Zhi Lu, Yang Hu, Yunchao Jiang, Yan Chen, Bing Zeng
-    affiliation: University of Electronic Science and Technology of China
-    contribution: Developed binary-code-based fashion recommendation algorithms using Polyvore‑U in CVPR 2019.
-features:
-  items:
-    item_id: string
-    master_category: string
-    product_name: string
-    price: float
-    image: Image(path=str)
-    release_date: string
-  kits:
-    kit_id: string
-    kit_name: string
-    description: string
-    user_id: string
-    image: Image(path=str)
-    views: int
-    likes: int
-    date: string
-  users:
-    user_id: string
-    user_name: string
-  interactions:
-    user_id: string
-    item_id: string
-    interaction_type: string
-    date: string
----
 
 # Polyvore‑1000 Dataset
 
@@ -219,3 +177,9 @@ kits_ds = load_dataset("codewaly/polyvore1000", "kits", split="valid")
 users_ds = load_dataset("codewaly/polyvore1000", "users")
 interactions_ds = load_dataset("codewaly/polyvore1000", "interactions")
 
+
+Références
+
+. Han, X., et al. (2017). Learning Fashion Compatibility with Bidirectional LSTMs. ACM Multimedia.
+
+. Lu, Z., et al. (2019). Learning Binary Code for Personalized Fashion Recommendation. CVPR.