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-IT Parallel Corpus is a Catalan-Italian dataset of **9.482.927** parallel sentences. The dataset was created to support Catalan in NLP tasks, specifically 
+The CA-IT Parallel Corpus is a Catalan-Italian dataset 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 Italian (IT).
 
 ### Data Instances
 
-Two separate txt files are provided with the sentences sorted in the same order:
-
-- ca-it_corpus.ca: contains 9.482.927 Catalan sentences.
-
-- ca-it_corpus.it: contains 9.482.927 Italian 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-it_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  v1  	   | 7.757.357|
-| MultiCCAligned v1    | 1.010.921|
-| WikiMatrix       	   |   271.587|
-| GNOME	| 1.198|
-| KDE4    	| 115.027 	|
-| OpenSubtitles	| 225.732	|
-| GlobalVoices| 5.209|
-
-All corpora were collected from [Opus](https://opus.nlpl.eu/).
+The dataset is a combination of the following original datasets collected from [Opus](https://opus.nlpl.eu/):
+CCMatrix, MultiCCAligned, WikiMatrix, GNOME, KDE4, OpenSubtitles, GlobalVoices.
 
 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 **9.482.927** parallel sentences.
+The filtered datasets are then concatenated to form the final corpus.
 
 #### Who are the source language producers?