Updated description of the dataset format and content

README.md

@@ -21,7 +21,7 @@ license: cc-by-nc-sa-4.0
 
 ### Dataset Summary
 
-The CA-DE Parallel Corpus is a Catalan-German dataset of **9.530.709** parallel sentences. The dataset was created to support Catalan in NLP tasks, specifically 
+The CA-DE Parallel Corpus is a Catalan-German dataset of parallel sentences created to support Catalan in NLP tasks, specifically 
 Machine Translation.
 
 ### Supported Tasks and Leaderboards
@@ -37,11 +37,10 @@ The sentences included in the dataset are in Catalan (CA) and German (DE).
 
 ### Data Instances
 
-Two separate txt files are provided with the sentences sorted in the same order:
+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-de_all_2023_09_11.tsv.
 
-- ca-de_all_2023_09_11.ca: contains 9.530.709 Catalan sentences.
-
-- ca-de_all_2023_09_11.de: contains 9.530.709 German sentences.
 
 ### Data Fields
 
@@ -61,31 +60,18 @@ This dataset is aimed at promoting the development of Machine Translation betwee
 
 #### Initial Data Collection and Normalization
 
-The dataset is a combination of the following original datasets:
-
-| Dataset       | Sentences |
-|:--------------|----------:|
-| Multi CCAligned | 1.027.481 |
-| WikiMatrix  	| 125.811 	|
-| GNOME	| 1.241|
-| KDE4    	| 105.098 	|
-| OpenSubtitles	| 171.376	|
-| GlobalVoices| 3.578|
-| Tatoeba | 655 |
-| Books | 2049 |
-| Europarl | 1.734.643 |
-| Tilde | 3.434.091 |
-
-All corpora except Europarl and Tilde were collected from [Opus](https://opus.nlpl.eu/).
-The Europarl and Tilde corpora are synthetic parallel corpora created from the original Spanish-Catalan corpora 
-by [SoftCatalà](https://github.com/Softcatala/Europarl-catalan).
-
-The remaining **3.272.437** sentences are synthetic parallel data created from a random sampling of the Spanish-German corpora 
+The first portion of the corpus is a combination of the following original datasets collected from [Opus](https://opus.nlpl.eu/): 
+Multi CCAligned, WikiMatrix, GNOME, KDE4, OpenSubtitles, GlobalVoices, Tatoeba.
+
+Additionally, the corpus contains synthetic parallel data generated from the original Spanish-Catalan Europarl and Tilde corpora 
+made public by [SoftCatalà](https://github.com/Softcatala/Europarl-catalan).
+
+A last portion of the dataset is composed by synthetic parallel data generated from a random sampling of the Spanish-German 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 **9.530.709** parallel sentences.
+The filtered datasets are then concatenated to form the final corpus.
 
 #### Who are the source language producers?