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README.md

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----
-annotations_creators:
-- Abhinav Walia (Owner)
-language:
-- en
-license:
-- odbl
----
-
-
-
-**Date**: 2022-07-10<br/>
-**Files**: ner_dataset.csv<br/>
-**Source**: [Kaggle entity annotated corpus](https://www.kaggle.com/datasets/abhinavwalia95/entity-annotated-corpus)<br/>
-**notes**: The dataset only contains the tokens and ner tag labels. Labels are uppercase.
-  
-# About Dataset
-[**from Kaggle Datasets**](https://www.kaggle.com/datasets/abhinavwalia95/entity-annotated-corpus)
-## 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
-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
-
-* geo = Geographical Entity
-* org = Organization
-* per = Person
-* gpe = Geopolitical Entity
-* tim = Time indicator
-* art = Artifact
-* eve = Event
-* nat = Natural Phenomenon
-* Total Words Count = 1354149
-* Target Data Column: "tag" (ner_tag in this repo)
-
-Inspiration: This dataset is getting more interested because of more features added to the recent version of this dataset. Also, it helps to create a broad view of Feature Engineering with respect to this dataset. 
- 
-## Modifications
- 
-the ner_dataset.csv was modified to have a similar data Structure as [CoNLL-2003 dataset](https://huggingface.co/datasets/conll2003) 
-
-## Licensing information
-
-Database: Open Database, Contents: Database Contents.
-    

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