Update README.md

README.md

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 tags:
 - translation
 license: 
-  - Database Open Database 
-  - Contents Database Contents
+- Database Open Database 
+- Contents Database Contents
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 **Date**: 2022-07-10<br/>
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 # About Dataset
 [**from Kaggle Datasets**](https://www.kaggle.com/datasets/abhinavwalia95/entity-annotated-corpus)
-## Context:
+## Context
+
 Annotated Corpus for Named Entity Recognition using GMB(Groningen Meaning Bank) corpus for entity classification with enhanced and popular features by Natural Language Processing applied to the data set.
 
 Tip: Use Pandas Dataframe to load dataset if using Python for convenience.
 
-## Content:
+## Content
 This is the extract from GMB corpus which is tagged, annotated and built specifically to train the classifier to predict named entities such as name, location, etc.
 
 Number of tagged entities:
 
 'O': 1146068', geo-nam': 58388, 'org-nam': 48034, 'per-nam': 23790, 'gpe-nam': 20680, 'tim-dat': 12786, 'tim-dow': 11404, 'per-tit': 9800, 'per-fam': 8152, 'tim-yoc': 5290, 'tim-moy': 4262, 'per-giv': 2413, 'tim-clo': 891, 'art-nam': 866, 'eve-nam': 602, 'nat-nam': 300, 'tim-nam': 146, 'eve-ord': 107, 'per-ini': 60, 'org-leg': 60, 'per-ord': 38, 'tim-dom': 10, 'per-mid': 1, 'art-add': 1
 
-## Essential info about entities:
+## Essential info about entities
 
 * geo = Geographical Entity
 * org = Organization