Datasets:

prachuryyaIITG
/

FiNERVINER

language:
  - brx
  - lus
  - mni
license: mit
size_categories:
  - 10M<n<100M
task_categories:
  - token-classification
  - other
pretty_name: FiNERVINER

FiNERVINER: Fine-grained Named Entity Recognition for Vulnerable languages of India's North Eastern Region

FiNERVINER is a high-quality fine-grained named entity recognition dataset created through annotation projection method.

The vulnerable languages are: Bodo (brx), Mizo (lus), and Manipuri (mni).

FiNERVINER Dataset Statistics

Language	Train set			Development set			Test set
Language	Sentences	Entities	Tokens	Sentences	Entities	Tokens	Sentences	Entities	Tokens	IAA (κ)
Bodo (brx)	212,835	302,713	2,958,455	23,649	33,808	329,145	1,000	1,423	14,082	0.875
Mizo (lus)	177,224	252,767	2,515,386	19,692	28,143	279,681	1,000	1,384	14,330	0.811
Manipuri (mni)	239,813	302,713	4,422,373	26,646	38,330	484,212	1,000	1,426	18,765	0.821

Note: IAA (Inter-Annotator Agreement) scores are represented using Cohen's κ.

Contributors

Prachuryya Kaushik
Prof. Ashish Anand

FiNERVINER is a part of the AWED-FiNER ecosystem: Paper | GitHub | Interactive Demo

Sample Usage

You can use the AWED-FiNER agentic tool to interact with expert models trained using this framework. Below is an example using the smolagents library:

from smolagents import CodeAgent, HfApiModel
from tool import AWEDFiNERTool

# Initialize the expert tool
ner_tool = AWEDFiNERTool()

# Initialize the agent (using a model of your choice)
agent = CodeAgent(tools=[ner_tool], model=HfApiModel())

# The agent will automatically use AWED-FiNER for specialized NER
# Case: Processing a vulnerable language (Bodo)
agent.run("Recognize the named entities in this Bodo sentence: 'बिथाङा दिल्लियाव थाङो।'")

Citation

If you use this dataset, please cite the following papers:

@inproceedings{kaushik2026finerviner,
  title={FiNERVINER: Fine-grained Named Entity Recognition for Vulnerable languages of India's North Eastern Region},
  author={Kaushik, Prachuryya and Anand, Ashish},
  booktitle={Proceedings of the Fifteenth Language Resources and Evaluation Conference},
  volume={15},
  year={2026}
}

@inproceedings{kaushik2026sampurner,
      title={SampurNER: Fine-Grained Named Entity Recognition Dataset for 22 Indian Languages},
      volume={40},
      url={https://ojs.aaai.org/index.php/AAAI/article/view/40405},
      DOI={10.1609/aaai.v40i37.40405},
      number={37},
      journal={Proceedings of the AAAI Conference on Artificial Intelligence},
      author={Kaushik, Prachuryya and Anand, Ashish},
      year={2026},
      month={Mar.},
      pages={31410-31418}
}

@misc{kaushik2026awedfineragentswebapplications,
      title={AWED-FiNER: Agents, Web applications, and Expert Detectors for Fine-grained Named Entity Recognition across 36 Languages for 6.6 Billion Speakers}, 
      author={Prachuryya Kaushik and Ashish Anand},
      year={2026},
      eprint={2601.10161},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2601.10161}, 
}