README.md

fiNERweb – Malayalam (mal)

Dataset Summary

iNERweb (Malayalam) is a Malayalam subset of the fiNERweb multilingual Named Entity Recognition (NER) dataset. The dataset provides character-level entity annotations, enabling precise span-based NER modeling suitable for transformer and span-classification architectures.

• Language: Malayalam (mal)
• Task: Named Entity Recognition (NER)
• Annotation type: Character spans
• Split: Train

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Dataset Structure

DatasetDict({
    train: Dataset({
        features: ['id', 'text', 'char_spans'],
        num_rows: 27,552
    })
})

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Data Fields

Each example in the dataset contains the following fields:

{
  "id": str,
  "text": str,
  "char_spans": [
    {
      "start": int,
      "end": int,
      "label": str
    }
  ]
}

Field Description

Field	Type	Description
id	string	Unique identifier for the example
text	string	Original Malayalam text
char_spans	list[dict]	Character-level entity spans with labels

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Intended Use

This dataset is suitable for:

• Character-span–based NER models
• Transformer-based Malayalam NER (mBERT, XLM-R, IndicBERT, etc.)
• Span classification / token-to-span alignment research -д- Multilingual and low-resource NER experiments

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Usage

Load with 🤗 Datasets

from datasets import load_dataset

dataset = load_dataset("Navneeth017/fiNERweb_mal")  # replace with your repo name
print(dataset["train"][0])

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Source Dataset

This dataset is derived from fiNERweb, a multilingual NER dataset containing annotated web text across multiple languages.

Original repository:

load_dataset("whoisjones/fiNERweb", "mal")

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Citation

If you use this dataset, please cite the original fiNERweb paper:

@misc{golde2025finerwebdatasetsartifactsscalable,
  title={FiNERweb: Datasets and Artifacts for Scalable Multilingual Named Entity Recognition},
  author={Jonas Golde and Patrick Haller and Alan Akbik},
  year={2025},
  eprint={2512.13884},
  archivePrefix={arXiv},
  primaryClass={cs.CL},
  url={https://arxiv.org/abs/2512.13884}
}

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Languages

• mal — Malayalam

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License

Please refer to the original fiNERweb dataset license for usage and redistribution terms.