---
dataset_info:
  features:
  - name: query_id
    dtype: int64
  - name: rel_score
    dtype: int64
  - name: doc_id
    dtype: int64
  - name: query
    dtype: string
  - name: document
    dtype: string
  splits:
  - name: train
    num_bytes: 325495
    num_examples: 999
  download_size: 108552
  dataset_size: 325495
configs:
- config_name: default
  data_files:
  - 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)"
}
```