Update README.md

README.md

@@ -78,19 +78,31 @@ This dataset is in Catalan (ca-ES). Coming from the web, some documents may cont
 
 ### Data Instances
 
-The dataset is provided in a CSV format, where each row corresponds to a single document and contains a document identifier, the text, a quality score, the strategy used to evaluate the document quality, languages, and a URL of the document, if available.
+The dataset is provided in a JSONL format, where each row corresponds to a single document and contains a document identifier, the text, a quality score, the strategy used to evaluate the document quality, languages, and a URL of the document, if available.
 
 ```
-document    text    score   strategy    languages   url
-
+{
+  "id": "macocu_ca_20230731_9_402472",
+  "text": "Jaume Casañas relleva Dolors Carreras a l’Alcaldia de l’Ajuntament de Cunit.
+          La substitució prevista al pacte de govern del 2019 s’ha materialitzat aquest
+          dissabte al matí. Aquest dissabte al matí, en un acte al Casal Municipal de
+          Cunit, s’ha celebrat l’acte de relleu de l’Alcaldia de l’Ajuntament de Cunit,
+          segons preveia el pacte de govern signat el juny del 2019 pels grups del PSC,
+          encapçalat per la fins ara alcaldessa, Dolors Carreras, i Impulsem Cunit, amb
+          el ja nou alcalde, Jaume Casañas, al capdavant.",
+  "score": 0.8105327621841463,
+  "strategy": "curate",
+  "languages": "{"ca": 1.0}",
+  "url": ""
+}
 ```
 
 ### Data Fields
 
-- `document`: text string containing the document identifier. Consists of the subdataset code, the part number and a document number.
+- `id`: text string containing the document identifier. Consists of the subdataset code, the part number and a document number.
 - `text`: text string from the document, with paragraphs separated by two newlines escape sequences. It is meant to be used directly as input for language modelling.
 - `score`: positive float number representing the document quality, ranging from 0, which represents the worst quality, to 1, the best quality.
-- `strategy`: text string describing the type of evaluation applied to obtain the document score. generic_hard uses the heuristic evaluation from [CURATE](https://github.com/langtech-bsc/corpus-cleaner-v2) and perfect_score means that manual review was done and the highest score (1) is applied.
+- `strategy`: text string describing the type of evaluation applied to obtain the document score. "curate" uses the heuristic evaluation from [CURATE](https://github.com/langtech-bsc/corpus-cleaner-v2) and "perfect" means that manual review was done and the highest score (1) is applied.
 - `languages`: dictionary containing the document languages, with a percentage indicating the character ratio for each one.
 - `url`: text string with the URL of the document, if available.