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README.md
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**MuRIL is fine-tuned on Assamese [CLASSER](https://huggingface.co/datasets/prachuryyaIITG/CLASSER) dataset for Fine-grained Named Entity Recognition.**
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This model is part of the **AWED-FiNER** project, which provides fine-grained NER solutions across 36 languages.
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- **Paper:** [AWED-FiNER: Agents, Web applications, and Expert Detectors for Fine-grained Named Entity Recognition across 36 Languages for 6.6 Billion Speakers](https://huggingface.co/papers/2601.10161)
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- **GitHub:** https://github.com/PrachuryyaKaushik/AWED-FiNER
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- **Interactive Demo:** [AWED-FiNER Space](https://huggingface.co/spaces/prachuryyaIITG/AWED-FiNER)
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The tagset of [MultiCoNER2](https://huggingface.co/datasets/MultiCoNER/multiconer_v2) is a fine-grained tagset. The fine to coarse level mapping of the tags are as follows:
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* Location (LOC) : Facility, OtherLOC, HumanSettlement, Station
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[Prachuryya Kaushik](https://www.linkedin.com/in/pkabundant/) <br>
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[Prof. Ashish Anand](https://www.linkedin.com/in/anandashish/)
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## Sample Usage
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The AWED-FiNER agentic tool can be used to interact with expert models trained using this framework. Below is an example:
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ISBN = "979-8-89176-298-5",
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@misc{
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title={AWED-
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author={Prachuryya Kaushik and Ashish Anand},
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year={2026},
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eprint={2601.10161},
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**MuRIL is fine-tuned on Assamese [CLASSER](https://huggingface.co/datasets/prachuryyaIITG/CLASSER) dataset for Fine-grained Named Entity Recognition.**
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The tagset of [MultiCoNER2](https://huggingface.co/datasets/MultiCoNER/multiconer_v2) is a fine-grained tagset. The fine to coarse level mapping of the tags are as follows:
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* Location (LOC) : Facility, OtherLOC, HumanSettlement, Station
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[Prachuryya Kaushik](https://www.linkedin.com/in/pkabundant/) <br>
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[Prof. Ashish Anand](https://www.linkedin.com/in/anandashish/)
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It is part of the [AWED-PIPER](https://github.com/PrachuryyaKaushik/AWED-PIPER) ecosystem: [**Paper**](https://huggingface.co/papers/2601.10161) | [**Agent for FgNER**](https://github.com/PrachuryyaKaushik/AWED-FiNER) | [**Web App for FgNER**](https://huggingface.co/spaces/prachuryyaIITG/AWED-FiNER) | [**Agent for PII Protection**](https://github.com/PrachuryyaKaushik/AWED-PIPER) | [**Web App for PII Protection**](https://huggingface.co/spaces/prachuryyaIITG/AWED_PII_Protector)
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## Sample Usage
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The AWED-FiNER agentic tool can be used to interact with expert models trained using this framework. Below is an example:
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ISBN = "979-8-89176-298-5",
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}
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@misc{kaushik2026awedpiperagentswebapplications,
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title={AWED-PIPER: Agents, Web Applications & Expert Detectors for Personally Identifiable Information Protection & Fine-grained Named Entity Recognition across 36 languages for 6.6 Billion Speakers},
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author={Prachuryya Kaushik and Ashish Anand},
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year={2026},
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eprint={2601.10161},
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