Update README.md

README.md

@@ -1857,13 +1857,14 @@ task_ids: []
 
 This dataset card is based on the paper **EDGAR-CORPUS: Billions of Tokens Make The World Go Round** authored by _Lefteris Loukas et.al_, as published in the _ECONLP 2021_ workshop.
 
-This dataset contains annual report of public companies from 1993-2020 from SEC EDGAR filings. 
-
-You may want to use this dataset to pre-train an ML/NLP model.
+This dataset contains the annual reports of public companies from 1993-2020 from SEC EDGAR filings. 
 
 There is supported functionality to load a specific year.
 
-If you wish to load specific year(s) of specific companies, you probably want to use the software which generated this dataset, EDGAR-CRAWLER: https://github.com/nlpaueb/edgar-crawler.
+Care: since this is a corpus dataset, different `train/val/test` splits do not have any special meaning. It's the default HF card format to have train/val/test splits.
+
+If you wish to load specific year(s) of specific companies, you probably want to use the open-source software which generated this dataset, EDGAR-CRAWLER: https://github.com/nlpaueb/edgar-crawler.
+
 
 ### Supported Tasks
 
@@ -1914,8 +1915,6 @@ raw_dataset = datasets.load_dataset("eloukas/edgar-corpus", "full")
 
 # Load a specific year and split
 year_1993_training_dataset = datasets.load_dataset("eloukas/edgar-corpus", "year_1993", split="train")
-
-# Since this is a corpus dataset, different splits do not have any special meaning. It's the default HF card format to have train/val/split sets.
 ```
 
 ### Data Splits
@@ -1999,7 +1998,7 @@ The dataset needs further cleaning for improved performance.
 EDGAR data is publicly available.
 
 ### Shoutout 
-Huge shoutout to @JanosAudran (https://huggingface.co/JanosAudran) for the HF Card setup!
+Huge shoutout to [@JanosAudran](https://huggingface.co/JanosAudran) for the HF Card setup!
 
 ### References