Update Aranese specific sections

README.md

@@ -11,7 +11,7 @@ task_categories:
 - translation
 license: cc-by-4.0
 ---
-# Dataset Card for Catalan-Aranese_Parallel_Corpus
+# Dataset Card for Catalan-Aranese Parallel Corpus
 
 ## Dataset Description
 
@@ -20,7 +20,8 @@ license: cc-by-4.0
 
 ### Dataset Summary
 
-A bilingual parallel corpus for the low-resource language pair Catalan-Aranese. Built by aggregating and minimally filtering multiple public sources, it provides sentence-level alignments for training Machine Translation systems. The dataset includes both authentically parallel data as well as synthetic Catalan translations generated from Aranese using [SalamandraTA 7B Instruct](https://huggingface.co/BSC-LT/salamandra-7b-instruct).
+A bilingual parallel corpus for the low-resource language pair Catalan-Aranese. Built by aggregating and minimally filtering multiple public sources, it provides sentence-level alignments for training Machine Translation systems. The dataset includes both authentically parallel data as well as synthetic Catalan translations generated from Aranese monolingual data using [SalamandraTA 7B Instruct](https://huggingface.co/BSC-LT/salamandra-7b-instruct).
+
 
 ### Supported Tasks and Leaderboards
 
@@ -34,6 +35,14 @@ The dataset contains one parallel language pair: Catalan–Aranese (ca–arn), t
 |-------------------|-------|------------------
 | Catalan-Aranese    | ca-arn |                 539,110
 
+### The Aranese language ###
+
+Aranese is a variant of the Occitan language spoken in the Aran Valley, in the province of Lerida, Spain. The Occitan language belongs to the Romance or Neo-Latin language group and consists of six dialect groups: Vivaro-Alpine, Provençal, Limousin, Auvergnat, Languedocien and Gascon. Aranese is a variant of the Gascon dialect.
+
+According to the 1978 Statute of Catalonia, Aranese is subject to teaching and protection. The Law on Administrative Autonomy of the Aran Valley establishes that Aranese is a co-official language in the Aran Valley, along with Catalan and Spanish. In accordance with these regulations, Aranese is taught at all levels of compulsory education and is also used as a language of instruction and communication.
+
+
+
 ## Dataset Structure
 
 ### Data Instances
@@ -64,21 +73,35 @@ The dataset contains a single split: `train`.
 
 ### Curation Rationale
 
-This dataset is aimed at promoting the development of Machine Translation between Catalan and Aranese, supporting research in bilingual and multilingual NLP, and facilitating the development of translation systems for low-resource language pairs.
+As an extremely low-resource language, Aranese lacks official representation in the ISO 639 standard for language name codes, where only the generic code for Occitan (OC) is available. While some systems do provide specific codes for Aranese, such as Glottolog ("aran1260") and IETF ("oc-aranes"), in the NLP and digital AI resource landscape, the generic OC code is predominantly used. This creates a significant challenge: the vast majority of publicly available resources (datasets and language models) fail to distinguish between Occitan variants, resulting in data that mixes different varieties and consequently exhibits poor linguistic quality and specificity. Similarly, machine translation models often produce outputs that conflate various Occitan variants.
+
+With this dataset and other resources we are releasing, we aim to promote deeper research into these linguistic variants and contribute to improving the quality of machine translation systems. By providing textual data resources specifically focused on the Aranese variant of Occitan, we seek to enable more precise and linguistically accurate NLP applications. For this purpose, we have adopted a specific code ("arn") to label our data, explicitly distinguishing Aranese from other Occitan varieties.
+
+This dataset is therefore aimed at promoting the development of Machine Translation between Catalan and Aranese, supporting research in bilingual and multilingual NLP with proper linguistic granularity, and facilitating the development of translation systems that respect and preserve the unique characteristics of low-resource language varieties.
+
+
 
 ### Source Data
 
 #### Initial Data Collection and Normalization
 
-The corpus is a combination of the following original datasets collected via direct datasharing agreements between the BSC and other parties, as well as public web-based sources:
+The corpus is a combination of authentic Catalan-Aranese parallel data and synthetic Catalan translations generated from Aranese monolingual data. Data was collected via direct datasharing agreements between the BSC and other parties, as well as from public web-based sources.
+
+**Bilingual source datasets:**
+
+- **DOGC**: Parallel text extracted from [Diari Oficial de la Generalitat de Catalunya](https://dogc.gencat.cat/ca/inici/)
+- **JS Translations**: Aranese-Catalan translations by a professional translator and obtained through direct data sharing (***add acknowledgements to Jordi Suils from Universitat de Lleida)
+- **Edictes**: Parallel text from Conselh Generau d'Aran archive of official documents
+- **Conselh News Articles**: Parallel text extracted from Conselh Generau d'Aran news articles archive
+
 
-- **DOGC**: Parallel sentences extracted from Diari Oficial de la Generalitat de Catalunya
-- **Jordi Suils Translations**: Authentic bilingual translations through direct data sharing
-- **Pilar**: Monolingual Aranese sentences from Pan-Iberian Language Archival Resource corpus
-- **IEA**: Monolingual Aranese sentences from Institut d'Estudis Aranesi
-- **Conselh News Articles**: Parallel sentences extracted from Conselh Generau d'Aran news articles archive
-- **Edictes**: Monolingual Aranese sentences & authentic parallel sentences from Conselh Generau d'Aran archive of official documents
-- **Escaletas TV3**: Monolingual Aranese sentences from Televisió de Catalunya's TV3 channel
+**Monolingual source datasets:**
+
+- **Pilar**: Monolingual Aranese [Pan-Iberian Language Archival Resource corpus](https://github.com/transducens/PILAR/tree/main/aranese)from literary and crawled domains produced by the research group Transducens from the University of Alicante (****add Acknowledgements)
+- **IEA**: Monolingual Aranese collection of documents from the [Institute of Aranese Studies - Acadèmia Aranesa de la Léngua Occitan (IEA-AALO)](http://www.institutestudisaranesi.cat)
+- **Edictes**: Monolingual Aranese text from Conselh Generau d'Aran archive of official documents
+- **Conselh News Articles**: Monolingual Aranese text extracted from Conselh Generau d'Aran news articles archive
+- **Escaletas TV3**: Monolingual Aranese text extravcted from the plots for the Aranese daily broadcast from Televisió de Catalunya's TV3 channel
 
 **Synthetic Data Generation:**
 
@@ -106,6 +129,7 @@ The filtered and normalized datasets were then concatenated to form the final co
 
 - [PILAR](https://github.com/transducens/PILAR)
 - Various open-source and institutional contributors
+-***add specific sources
 
 ### Annotations
 
@@ -125,7 +149,9 @@ Given that this dataset is derived from pre-existing datasets that may contain c
 
 ### Social Impact of Dataset
 
-By providing this large-scale multilingual resource, we intend to promote multilingual NLP research and improve the accessibility of machine translation for the included languages, particularly for language pairs that may be underrepresented in existing resources. This contributes to reducing language barriers and supporting linguistic diversity in NLP applications.
+By providing this resource specifically focused on the Aranese variant of Occitan, we aim to address a critical gap in NLP resources for extremely low-resource languages. The conflation of linguistic variants under generic language codes (such as using OC for all Occitan varieties) has historically resulted in lower-quality NLP tools that fail to respect the unique characteristics of individual language varieties. This has a direct impact on speaker communities, as translation systems and language technologies that mix variants can produce outputs that are linguistically inaccurate or culturally inappropriate.
+
+Furthermore, this resource promotes broader goals of linguistic diversity and cultural preservation in NLP applications. By making high-quality Aranese data publicly available, we enable researchers and developers to create technologies that better serve minority language communities, respecting their linguistic identity and contributing to the vitality and continued use of Aranese in digital contexts.
 
 ### Discussion of Biases
 
@@ -133,7 +159,7 @@ No specific bias mitigation strategies were applied to this dataset beyond dedup
 
 ### Other Known Limitations
 
-The dataset contains data from the administrative and legal domains, as well as news articles. Application of this dataset in other domains such as biomedical, technical, or other specialized fields would be of limited use. Additionally, the synthetic Catalan data may not achieve the same quality or naturalness as naturally parallel data.
+The dataset contains predominantly data from the administrative and legal domains, as well as news articles. Application of this dataset in other domains such as biomedical, technical, or other specialized fields would be of limited use. Additionally, the synthetic Catalan data may not achieve the same quality or naturalness as naturally parallel data.
 
 ## Additional Information
 
@@ -146,6 +172,10 @@ Language Technologies Unit at the Barcelona Supercomputing Center (langtech@bsc.
 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.
 
 
+### Acknowledgements ###
+
+ADD
+
 ### Licensing Information
 
 This work is licensed under a [Creative Commons Attribution 4.0 International](https://creativecommons.org/licenses/by/4.0/) licence.