Update README.md

README.md

@@ -27,11 +27,16 @@
 
 ## Dataset Description
 
-corpusELE is a dataset formed with sentences from students of Spanish as a Foreign Language (ELE), all from a set of files of CAES (Corpus de Aprendices de Español como Lengua Extranjera) downloaded from the website of the Instituto Cervantes. The main objective of this dataset is the creation and subsequent training, by means of Deep Learning, of a classification model that, based on these data, allows to establish, given an expression in Spanish, the level of knowledge of Spanish and even the mother tongue of the speaker.
+corpusELE is a dataset made of text from students of Spanish as a Foreign Language (ELE), all from a set of files of CAES (Corpus de Aprendices de Español como Lengua Extranjera) downloaded from the website of the Instituto Cervantes. The main objective of this dataset is the creation and subsequent training, by means of Deep Learning, of a classification model that, based on these data, allows to establish, given an expression in Spanish, the level of knowledge of Spanish and even the mother tongue of the speaker.
+
+In linguistics, a corpus is a more or less extensive set of texts in electronic format that have been assembled in a computer application, according to a certain design, to facilitate the study of the language or linguistic variety from which these texts have been extracted. Among the many types and subtypes of corpora that currently exist, the so-called 'learner corpora' contain texts produced by people who are learning a given language and who speak different initial, familiar or mother tongues and different degrees of knowledge of the target language (levels).
+
 
 ### Dataset Summary
 
-[More Information Needed]
+Number of Columns: 6
+Number of Rows: 46.787
+
 
 ### Supported Tasks and Leaderboards
 
@@ -39,20 +44,20 @@ corpusELE is a dataset formed with sentences from students of Spanish as a Forei
 
 ### Languages
 
-[More Information Needed]
+Spanish
 
 ## Dataset Structure
 
-1. numero: CAES phrase number, starting at 1 and up to the number of retrieved phrases.
-2. nivel: Level of knowledge of Spanish by the student who has provided the phrase. It will be one of those established in the Common European Framework of Reference in the learning of foreign languages
-3. lengua materna: Mother tongue of the Spanish student to which the registered phrase belongs.
-4. palabra clave: Key Word or Element in the phrase. As indicated, it can be a word, a punctuation mark or any other element or character that determines the critical aspect or main element of the compiled phrase.
-5. frase: Complete phrase provided by the Spanish student. It is made up of the concatenation of the two parts into which it has been segmented in the source files, also including the word or key element.
-6. nombre archivo origen: Also included in the dataset, in order to be able to use it in the preprocessing of the data, is the name of the origin file of the corresponding phrase. Although this information is not necessary for the object of the work, it is of interest when debugging the data capture. Later it will be information that we can do without.
+1. **numero**: CAES phrase or text number, starting at 1 and up to the number of retrieved phrases.
+2. **nivel**: Level of knowledge of Spanish by the ELE student who has provided the text. It will be one of those established in the Common European Framework of Reference in the learning of foreign languages.
+3. **lenguaM**: Mother tongue of the ELE student to which the registered text belongs.
+4. **pClave**: Key Word in the phrase or text. As indicated, it may be a punctuation mark, a mark or any other element or character in the sentence considered prominent or characteristic.
+5. **frase**: Complete phrase or text provided by the ELE student. It is made up of the concatenation of the two parts into which it has been segmented in the source files and it also includes the word or key element.
+6. **archivo**: It is and additional information included in the dataset in order to be able to use it in the preprocessing of the data. It refers to the name of the file from which the corresponding text has been taken. Although this information is not necessary for the object of the work, it is of interest when debugging the data capture. Later it will be information that we can do without.
 
 ### Data Instances
 
-[More Information Needed]
+Each instance of the dataset consists of a single sentence or text
 
 ### Data Fields