Published December 3, 2025
| Version 3
Dataset
Open
ANCHOLIK-NER: A Benchmark Dataset for Bangla Regional Named Entity Recognition
Authors/Creators
-
1.
Ahsanullah University of Science and Technology
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2.
Southeast University
Description
We developed ANCHOLIK-NER, a Bangla Regional Named Entity Recognition dataset focusing on the Sylhet, Chittagong, Barishal, Mymensingh, and Noakhali dialects. It comprises 17,405 sentences, evenly distributed across the five regions, with entities categorized into 10 types. The raw sentences were collected from two publicly available datasets and through web scraping from various online newspapers, articles.
Files
Barishal_NER.csv
Files
(3.9 MB)
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md5:e2aa1f541dda9bd882049cd8a45346c9
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437.0 kB | Preview Download |
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md5:fd7c645c77e4ca6c2ae34af8bdd1e6e8
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md5:c15c7dbac51250ff2dff6979bb9b38bd
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md5:d529f01094d6c72f411f5fe21752a468
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md5:2af9d77c93c615570dfad0abe349f15e
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1.7 MB | Preview Download |
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md5:dfc450fb7c5feb8a117066e4aef359c5
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430.3 kB | Preview Download |
Additional details
Identifiers
Funding
- Southeast University
- REG-NER: A Benchmark Dataset for Bangla Regional Named Entity Recognition SEU/IRT/RG/2025/01/09
Dates
- Available
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2025-04-22This is the 3rd version of the dataset that was uploaded to Mendeley data in this date.