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-FR Parallel Corpus is a Catalan-French dataset of **18.634.844** parallel sentences.The dataset was created to support Catalan in NLP tasks, specifically 
+The CA-FR Parallel Corpus is a Catalan-French dataset of parallel sentences created to support Catalan in NLP tasks, specifically 
 Machine Translation.
 
 ### Supported Tasks and Leaderboards
@@ -37,11 +37,9 @@ The sentences included in the dataset are in Catalan (CA) and French (FR).
 
 ### Data Instances
 
-Two separate txt files are provided with the sentences sorted in the same order:
-
-- ca-fr_corpus.ca: contains 18.634.844 Catalan sentences.
-
-- ca-fr_corpus.fr: contains 18.634.844 French 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-fr_corpus.tsv.
 
 ### Data Fields
 
@@ -61,23 +59,12 @@ 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 |
-|:----------------|----------:|
-| CCMatrix        | 16.305.758|
-| Multi CCAligned |  1.442.584|
-| WikiMatrix      |    437.665|
-| GNOME           |      1.686|
-| KDE 4           |    111.750|
-| Open Subtitles  |    225.786|
-
-
-All corpora were collected from [Opus](https://opus.nlpl.eu/).
+The corpus is a combination of the following original datasets collected from [Opus](https://opus.nlpl.eu/):
+CCMatrix, Multi CCAligned, WikiMatrix, GNOME, KDE 4, Open Subtitles.
 
 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 **18.634.844** parallel sentences. 
+The filtered datasets are then concatenated to form the final corpus. 
 
 #### Who are the source language producers?