Update README.md

README.md

@@ -23,3 +23,63 @@ configs:
   - split: train
     path: data/train-*
 ---
+
+# 🎲 LudoSym: Gambling Addiction IR Dataset (Spanish)
+
+## Overview
+
+This dataset accompanies the paper:
+
+**Analyzing Gambling Addictions: A Spanish Corpus for Understanding Pathological Behavior**  
+Manuel Couto-Pintos, Marcos Fernández-Pichel, Mario Ezra Aragón, David E. Losada  
+*Findings of the Association for Computational Linguistics: EMNLP 2025*
+
+The dataset is designed to support **information retrieval and ranking research** focused on the detection and analysis of **gambling addiction symptoms** from Spanish text. It enables the evaluation and training of retrieval models that associate user-defined symptom queries with relevant textual evidence.
+
+---
+
+## Task Description
+
+The dataset follows a **standard IR / ranking formulation**:
+
+- **Queries** represent standardized gambling addiction symptoms.
+- **Documents** are short Spanish text passages related to gambling behavior.
+- **Relevance judgments (qrels)** indicate how relevant each document is for a given symptom query.
+
+The task is to **rank documents by relevance for each query**, enabling:
+- neural ranking
+- symptom screening
+- cross-encoder and bi-encoder training
+- IR evaluation (e.g., nDCG, MAP, Recall)
+
+---
+
+## Dataset Structure
+
+Each example in the dataset has the following fields:
+
+| Field       | Type    | Description |
+|------------|---------|-------------|
+| `query_id` | int     | Unique identifier of the symptom query |
+| `doc_id`   | int     | Unique identifier of the document |
+| `query`    | string  | Text of the gambling addiction symptom |
+| `document` | string  | Spanish text passage |
+| `relevance`| float   | Relevance score between the query and the document |
+
+
+## Citation
+
+If you use this resource, please cite:
+
+```
+@inproceedings{couto-etal-2025,
+    title = "Analyzing Gambling Addictions: A Spanish Corpus for Understanding Pathological Behavior",
+    author = "Couto-Pintos, Manuel and
+              Fernández-Pichel, Marcos and
+               Aragón, Mario Ezra and
+              Losada, David E.",
+    booktitle = "Findings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP)"
+}
+```
+
+