Datasets:
Tasks:
Token Classification
Sub-tasks:
named-entity-recognition
Languages:
Hindi
Size:
100K<n<1M
ArXiv:
License:
Commit
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README.md
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### Data Instances
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{'id': '0', 'tokens': ['
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### Data Fields
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## Dataset Creation
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### Data Instances
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{'id': '0', 'tokens': ['प्राचीन', 'समय', 'में', 'उड़ीसा', 'को', 'O', 'कलिंग', 'O', 'के', 'नाम', 'से', 'जाना', 'जाता', 'था', '।'], 'ner_tags': [0, 0, 0, 3, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0]}
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### Data Fields
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## About
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This repository contains the Hindi Named Entity Recognition dataset (HiNER) published at the Langauge Resources and Evaluation conference (LREC) in 2022.
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### Recent Updates
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* Version 0.0.5: HiNER initial release
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## Usage
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You should have the 'datasets' packages installed to be able to use the :rocket: HuggingFace datasets repository. Please use the following command and install via pip:
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```code
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pip install datasets
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```
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To use the original dataset with all the tags, please use:<br/>
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```python
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from datasets import load_dataset
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hiner = load_dataset('cfilt/HiNER-original')
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```
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To use the collapsed dataset with only PER, LOC, and ORG tags, please use:<br/>
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```python
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from datasets import load_dataset
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hiner = load_dataset('cfilt/HiNER-collapsed')
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```
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However, the CoNLL format dataset files can also be found on this Git repository under the [data](data/) folder.
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This dataset can be imported by executing:
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## Dataset Creation
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