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README.md

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-language:
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-- es
-license: cc-by-4.0
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+language:
+- gl
+- es
+license: cc-by-4.0
+---
+
+
+# Dataset Card for Spanish–Galician / Galician–English Legal Corpus
+
+## Dataset Summary
+This dataset is derived from the **Translation Memory of the Directorate-General for Translation (DGT-TM)**, a massive multilingual resource created by the European Commission.
+The original corpus contains the *Acquis Communautaire* (EU legislation) aligned across 24 official languages.
+While Galician is not included in the original release, Portuguese is. Using automatic transliteration and translation techniques, Portuguese segments were adapted into Galician.  
+
+The result is a **parallel corpus in Spanish–Galician and Galician–English**, focused on legal texts, with approximately **320,000 aligned sentence pairs**.  
+
+## Supported Tasks and Benchmarks
+- **Machine Translation (MT):** Training and evaluation of MT systems for Spanish ↔ Galician and Galician ↔ English.  
+- **Bilingual Lexicon Induction:** Building dictionaries and glossaries for under-resourced language pairs.  
+- **Evaluation:** Benchmarking translation quality in legal-domain corpora.  
+- **Cross-lingual NLP:** Supporting tasks such as multilingual embeddings and semantic alignment.  
+
+## Languages
+- **Source:** Spanish, Galician  
+- **Target:** Galician, English  
+
+## Dataset Structure
+- **Format:** Parallel text segments (aligned sentences)  
+- **Domain:** Legal texts (EU legislation)  
+- **Size:** ~320,000 lines  
+
+## Use Cases
+- Training MT models for Galician, a low-resource language.  
+- Creating bilingual dictionaries and glossaries.  
+- Evaluating translation systems in specialized legal domains.  
+- Supporting research in cross-lingual transfer and underrepresented languages.  
+
+## Limitations
+- Domain-specific: Primarily legal texts, which may not generalize to everyday language.  
+- Automatically adapted Galician segments may contain transliteration or translation artifacts.  
+
+## Acknowledgments
+This work is funded by the Ministerio para la Transformación Digital y de la Función Pública - Funded by EU – NextGenerationEU within the framework of the project Desarrollo de Modelos ALIA. 
+Esta publicación del proyecto Desarrollo de Modelos ALIA está financiada por el Ministerio para la Transformación Digital y de la Función Pública y por el Plan de Recuperación, Transformación y Resiliencia – Financiado por la Unión Europea – NextGenerationEU.