Update README.md

README.md

@@ -1,7 +1,6 @@
 ---
 license: cc-by-nc-sa-4.0
 task_categories:
-- idiom-detection
 - text-classification
 - translation
 language:
@@ -25,14 +24,10 @@ The dataset has been further curated and improved and is constantly revised by t
 
 ### Dataset Description
 
-<!-- Provide a longer summary of what this dataset is. -->
-
+More detailed information about the dataset can be found in our [paper](https://aclanthology.org/2024.figlang-1.5/).
 
 
 - **Curated by:** Francesca De Luca Fornaciari
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
 - **License:** cc-by-nc-sa-4.0
 
 ### Dataset Sources [optional]
@@ -40,8 +35,7 @@ The dataset has been further curated and improved and is constantly revised by t
 <!-- Provide the basic links for the dataset. -->
 
 - **Repository:** https://github.com/fdelucaf/idioms-sentences-extractor
-- **Paper [optional]:** https://aclanthology.org/2024.figlang-1.5/
-- **Demo [optional]:** [More Information Needed]
+- **Paper:** https://aclanthology.org/2024.figlang-1.5/
 
 ## Uses
 
@@ -64,7 +58,6 @@ This dataset is not meant to be used for tasks that differ from the ones specifi
 ## Dataset Structure
 ### Data Instances
 ```
-
 ```
 
 ### Data Fields
@@ -168,17 +161,32 @@ No specific measures were taken to mitigate other types of bias that may be pres
 
 **BibTeX:**
 
-
-
-**APA:**
-
-[More Information Needed]
-
-## Glossary [optional]
-
-<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
-
-[More Information Needed]
+@inproceedings{de-luca-fornaciari-etal-2024-hard,
+    title = "A Hard Nut to Crack: Idiom Detection with Conversational Large Language Models",
+    author = "De Luca Fornaciari, Francesca  and
+      Altuna, Bego{\~n}a  and
+      Gonzalez-Dios, Itziar  and
+      Melero, Maite",
+    editor = "Ghosh, Debanjan  and
+      Muresan, Smaranda  and
+      Feldman, Anna  and
+      Chakrabarty, Tuhin  and
+      Liu, Emmy",
+    booktitle = "Proceedings of the 4th Workshop on Figurative Language Processing (FigLang 2024)",
+    month = jun,
+    year = "2024",
+    address = "Mexico City, Mexico (Hybrid)",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2024.figlang-1.5",
+    doi = "10.18653/v1/2024.figlang-1.5",
+    pages = "35--44",
+    abstract = "In this work, we explore idiomatic language processing with Large Language Models (LLMs). We introduce the Idiomatic language Test Suite IdioTS, a dataset of difficult examples specifically designed by language experts to assess the capabilities of LLMs to process figurative language at sentence level. We propose a comprehensive evaluation methodology based on an idiom detection task, where LLMs are prompted with detecting an idiomatic expression in a given English sentence. We present a thorough automatic and manual evaluation of the results and a comprehensive error analysis.",
+}
+
+
+**ACL:**
+
+Francesca De Luca Fornaciari, Begoña Altuna, Itziar Gonzalez-Dios, and Maite Melero. 2024. A Hard Nut to Crack: Idiom Detection with Conversational Large Language Models. In Proceedings of the 4th Workshop on Figurative Language Processing (FigLang 2024), pages 35–44, Mexico City, Mexico (Hybrid). Association for Computational Linguistics.
 
 ## More Information [optional]
 
@@ -186,7 +194,7 @@ No specific measures were taken to mitigate other types of bias that may be pres
 
 ## Dataset Card Authors [optional]
 
-[More Information Needed]
+Francesca De Luca Fornaciari
 
 ## Dataset Card Contact