adding reader py, data desc and readme

README.md

@@ -1,6 +1,6 @@
 ---
 annotations_creators:
-- Leonardo Zilio, Hadeel Saadany, Prashant Sharma, Diptesh Kanojia, Constantin Orasan 
+- Leonardo Zilio, Hadeel Saadany, Prashant Sharma, Shenbin Qian, Diptesh Kanojia, Constantin Orasan 
 language_creators:
 - found
 language:
@@ -17,12 +17,12 @@ source_datasets:
 task_categories:
 - token-classification
 task_ids:
-- abbreviation-detection
+- named-entity-recognition
 ---
 
 # PLOD: An Abbreviation Detection Dataset  
 
-This is the repository for PLOD Dataset published at LREC 2022. The dataset can help build sequence labelling models for the task Abbreviation Detection.
+This is the repository for PLOD Dataset subset being used for CW in NLP module 2023-2024 at University of Surrey. 
 
 ### Dataset
 
@@ -100,15 +100,6 @@ An example from the dataset:
 - pos_tags: the Part-of-Speech tags obtained for the corresponding token above from Spacy NER.
 - ner_tags: The tags for abbreviations and long-forms.
 
-
-### Data Splits
-
-|            | Train   | Valid | Test |
-| -----      | ------ | -----  | ---- |
-| Filtered   | 112652 |  24140 | 24140|
-| Unfiltered | 113860 |  24399 | 24399|
-
-
 ## Dataset Creation
 
 ### Source Data
@@ -126,7 +117,7 @@ PLOS Journal
 ### Dataset Curators
 
 The dataset was initially created by Leonardo Zilio, Hadeel Saadany, Prashant Sharma,
-Diptesh Kanojia, Constantin Orasan.
+Diptesh Kanojia, Constantin Orasan. The subset was created by Shenbin Qian from the new clean version of PLOD to be released at LREC COLING 2024.
 
 ### Licensing Information