Update README.md

README.md

@@ -10,32 +10,25 @@ license:
 multilinguality:
 - monolingual
 size_categories:
-- 10K<n<100K
-source_datasets:
-- extended|other-reuters-corpus
+- 100K<n<200K
 task_categories:
 - token-classification
 task_ids:
 - named-entity-recognition
 - part-of-speech
-paperswithcode_id: conll-2003
-pretty_name: CoNLL-2003
 train-eval-index:
-- config: conll2003
+- config: privy-small
   task: token-classification
   task_id: entity_extraction
   splits:
     train_split: train
     eval_split: test
-  col_mapping:
-    tokens: tokens
-    ner_tags: tags
   metrics:
     - type: seqeval
       name: seqeval
 ---
 
-# Dataset Card for "privy-small"
+# Dataset Card for "debug-small-en"
 
 ## Table of Contents
 - [Dataset Description](#dataset-description)
@@ -72,20 +65,11 @@ train-eval-index:
 - **Total amount of disk used:** 14.41 MB
 
 ### Dataset Summary
+A synthetic dataset generated using Privy, a tool which parses OpenAPI specifications and generates synthetic request payloads, searching for keywords in API schema definitions to select appropriate data providers. Generated API payloads are converted to various protocol trace formats like JSON and SQL to approximate the data developers might encounter while debugging applications. 
 
-The shared task of CoNLL-2003 concerns language-independent named entity recognition. We will concentrate on
-four types of named entities: persons, locations, organizations and names of miscellaneous entities that do
-not belong to the previous three groups.
+This labelled PII dataset consists of protocol traces (JSON, SQL (PostgreSQL, MySQL), HTML, and XML) generated from OpenAPI specifications and includes 60+ PII types. 
 
-The CoNLL-2003 shared task data files contain four columns separated by a single space. Each word has been put on
-a separate line and there is an empty line after each sentence. The first item on each line is a word, the second
-a part-of-speech (POS) tag, the third a syntactic chunk tag and the fourth the named entity tag. The chunk tags
-and the named entity tags have the format I-TYPE which means that the word is inside a phrase of type TYPE. Only
-if two phrases of the same type immediately follow each other, the first word of the second phrase will have tag
-B-TYPE to show that it starts a new phrase. A word with tag O is not part of a phrase. Note the dataset uses IOB2
-tagging scheme, whereas the original dataset uses IOB1.
-
-For more details see https://www.clips.uantwerpen.be/conll2003/ner/ and https://www.aclweb.org/anthology/W03-0419
+The uploading dataset using ___(IOB?)__ tagging scheme
 
 ### Supported Tasks and Leaderboards