Updated description of the dataset format and content

README.md

@@ -22,7 +22,7 @@ license: cc-by-nc-sa-4.0
 
 ### Dataset Summary
 
-The CA-PT Parallel Corpus is a Catalan-Portuguese dataset of **9.892.953** parallel sentences. The dataset was created to support Catalan in NLP tasks, specifically 
+The CA-PT Parallel Corpus is a Catalan-Portuguese dataset of created to support Catalan in NLP tasks, specifically 
 Machine Translation.
 
 
@@ -39,11 +39,9 @@ The sentences included in the dataset are in Catalan (CA) and Portuguese (PT).
 
 ### Data Instances
 
-Two separate txt files are provided with the sentences sorted in the same order:
-
-- ca-pt_2023_09_01_full.ca: contains 9.892.953 Catalan sentences.
-
-- ca-pt_2023_09_01_full.pt: contains 9.892.953 Portuguese sentences.
+A single tsv file is provided with the sentences sorted in the same order and 
+a header containing the two-letter ISO language code for the language in each column:
+ca-pt_2023_09_01_full.tsv.
 
 
 ### Data Fields
@@ -63,29 +61,19 @@ This dataset is aimed at promoting the development of Machine Translation betwee
 ### Source Data
 
 #### Initial Data Collection and Normalization
+@alogin4 dataset_to_hf]$ /bin/python /gpfs/scratch/bsc88/bsc088063/dataset_to_hf/txt2parq
+The first portion of the corpus is a combination of the following original datasets collected from [Opus](https://opus.nlpl.eu/):
+CCMatrix, WikiMatrix, GNOME, KDE4, OpenSubtitles, GlobalVoices, Tatoeba.
 
-The dataset is a combination of the following original datasets:
-
-| Dataset       | Sentences |
-|:-------|-------:|
-| CCMatrix  v1  | 3.765.459 |
-| WikiMatrix    | 317.649 	|
-| GNOME	        | 1.752     |
-| KDE4    	    | 117.828 	|
-| OpenSubtitles	| 235.604	|
-| GlobalVoices  | 3.430     |
-| Tatoeba       | 723       |
-| Europarl      | 1.631.989 |
+Additionally, the corpus contains synthetic parallel data generated from the original Spanish-Catalan Europarl 
+made public by [SoftCatalà](https://github.com/Softcatala/Europarl-catalan).
 
-All corpora except Europarl were collected from [Opus](https://opus.nlpl.eu/).
-The Europarl corpus is a synthetic parallel corpus created from the original Spanish-Catalan corpus by [SoftCatalà](https://github.com/Softcatala/Europarl-catalan).
-
-The remaining **3.733.322** sentences are synthetic parallel data created from a random sampling of the Spanish-Portuguese corpora 
+A last portion of the dataset is composed by synthetic parallel data generated from a random sampling of the Spanish-Portuguese corpora 
 available on [Opus](https://opus.nlpl.eu/) and translated into Catalan using the [PlanTL es-ca](https://huggingface.co/PlanTL-GOB-ES/mt-plantl-es-ca) model.
 
 All datasets are deduplicated and filtered to remove any sentence pairs with a cosine similarity of less than 0.75. 
 This is done using sentence embeddings calculated using [LaBSE](https://huggingface.co/sentence-transformers/LaBSE). 
-The filtered datasets are then concatenated to form a final corpus of **9.892.953** parallel sentences.
+The filtered datasets are then concatenated to form the final corpus.
 
 #### Who are the source language producers?
 
@@ -102,7 +90,7 @@ The dataset does not contain any annotations.
 #### Who are the annotators?
 
 [N/A]
-
+@alogin4 dataset_to_hf]$ /bin/python /gpfs/scratch/bsc88/bsc088063/dataset_to_hf/txt2parq
 ### Personal and Sensitive Information
 
 Given that this dataset is partly derived from pre-existing datasets that may contain crawled data, and that no specific anonymisation process has been applied,