Datasets › ANCHOLIK-NER
ANCHOLIK-NER (ANCHOLIK-NER: A Benchmark Dataset for Bangla Regional Named Entity Recognition)
We developed ANCHOLIK-NER, a Bangla Regional Named Entity Recognition dataset focusing on the Sylhet, Chittagong, and Barishal dialects. It comprises 10,443 sentences, evenly distributed across the three regions, with entities categorized into 10 types. The dataset, sourced from both formal (57.54%) and informal (42.46%) texts, enhances NER models by capturing regional linguistic nuances.
Benchmarks archive 2025-07-28
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Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.
Dataset loaders archive 2025-07-28
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Tasks archive 2025-07-28
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License archive 2025-07-28
Modalities archive 2025-07-28
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Languages archive 2025-07-28
Variants archive 2025-07-28
- ANCHOLIK-NER
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