Add link to paper

README.md

@@ -1,25 +1,25 @@
 ---
 language:
-  - en
+- en
 license: cc-by-4.0
 multilinguality: monolingual
 task_categories:
-  - sentence-similarity
-  - feature-extraction
-tags:
-  - sonar
-  - speech-embeddings
-  - text-embeddings
-  - common-voice
-  - interpretability
+- sentence-similarity
+- feature-extraction
 pretty_name: FLiP-data
+tags:
+- sonar
+- speech-embeddings
+- text-embeddings
+- common-voice
+- interpretability
 ---
 
 # FLiP-data
 
-Preprocessed data for the [FLiP](https://github.com/BUTSpeechFIT/FLiP) project — **Factorized Linear Projection for Interpreting Multimodal Multilingual Sentence Embeddings**.
+Preprocessed data for the paper [FLiP: Towards understanding and interpreting multimodal multilingual sentence embeddings](https://huggingface.co/papers/2604.18109).
 
-FLiP trains a factorized log-linear model to recover lexical content (keywords) from pretrained sentence embeddings via a single linear projection, with no fine-tuning of the encoder.
+FLiP trains a factorized log-linear model to recover lexical content (keywords) from pretrained sentence embeddings via a single linear projection, with no fine-tuning of the encoder. The project code is available on [GitHub](https://github.com/BUTSpeechFIT/FLiP).
 
 ## Contents
 
@@ -57,10 +57,10 @@ train_text   = np.load("cv_15/en/sonar_embeddings/train_text_embs.npy")
 ```bibtex
 @misc{kesiraju2026flip,
   title         = {{FLiP}: Towards understanding and interpreting multimodal multilingual sentence embeddings},
-  author        = {Kesiraju, Santosh and Yusuf, Bolaji and Sedl{\'a}{\v{c}}ek, Simon and Plchot, Old{\v{r}}ich and Schwarz, Petr},
+  author        = {Kesiraju, Santosh and Yusuf, Bolaji and Sedl{\'{a}}{\v{c}}ek, Simon and Plchot, Old{\v{r}}ich and Schwarz, Petr},
   year          = {2026},
   eprint        = {2026.XXXXX},
   archivePrefix = {arXiv},
   primaryClass  = {cs.CL}
 }
-```
+```