Datasets › DPCSpell-Bangla-SEC-Corpus

DPCSpell-Bangla-SEC-Corpus

Introduced by Mehedi Hasan Bijoy et al. in DPCSpell: A Transformer-based Detector-Purificator-Corrector Framework for Spelling Error Correction of Bangla and Resource Scarce Indic Languages7 Nov 2022 archive 2025-07-28

MIT licenseDPCSpell-Bangla-SEC-Corpus is a large-scale parallel corpus for Bangla spelling error correction.

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Bangla Spelling Error Correction DPCSpell-Bangla-SEC-Corpus DPCSpell Exact Match Accuracy 94.78 DPCSpell: A Transformer-based... mehedihasanbijoy/DPCSpell 4 Compare

Papers archive 2025-07-28

4 shown of 4 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 4. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
DPCSpell: A Transformer-based Detector-Purificator-Corrector Framework for Spelling Error Correction of Bangla and Resource Scarce Indic Languages 1 1 7 Nov 2022 not harvested
Spelling Correction with Denoising Transformer 0 1 12 May 2021 not harvested
Convolutional Sequence to Sequence Learning 37 1 8 May 2017 not harvested
Neural Machine Translation by Jointly Learning to Align and Translate 124 1 1 Sep 2014 ran 21 of 44 samples (23 unverified; 16 pointer-only for licence)

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

MIT license

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • DPCSpell-Bangla-SEC-Corpus

1 variant name, as the archive lists them.

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