A Synthetic Hungarian Dataset for Handwritten Text Recognition (HTR)
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| Format: | Recurso digital |
| Sprache: | Ungarisch |
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2024
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| _version_ | 1866902178829959168 |
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| author | Al-Hitawi, Mohammed A.S |
| author_facet | Al-Hitawi, Mohammed A.S |
| contents | <p>The generated dataset is inherited from ref below where we use Hungarain Corpus. </p> <p>All the dataset are publicly avaliable on HuggingFace platform such as : <br>- </p> <ul> <li><a href="https://huggingface.co/datasets/AlhitawiMohammed22/lines_hu_v1_1">https://huggingface.co/datasets/AlhitawiMohammed22/lines_hu_v1_1</a></li> <li><a href="https://huggingface.co/datasets/AlhitawiMohammed22/lines_hu_v2_1">https://huggingface.co/datasets/AlhitawiMohammed22/lines_hu_v2_1</a></li> <li><a href="https://huggingface.co/datasets/AlhitawiMohammed22/lines_hu_v3">https://huggingface.co/datasets/AlhitawiMohammed22/lines_hu_v3</a></li> <li><a href="https://huggingface.co/datasets/AlhitawiMohammed22/lines_hu_v4">https://huggingface.co/datasets/AlhitawiMohammed22/lines_hu_v4</a></li> <li><a href="https://huggingface.co/datasets/AlhitawiMohammed22/lines_hu_v5">https://huggingface.co/datasets/AlhitawiMohammed22/lines_hu_v5</a></li> <li><a href="https://huggingface.co/datasets/AlhitawiMohammed22/lines_hu_v7">https://huggingface.co/datasets/AlhitawiMohammed22/lines_hu_v7</a></li> <li><a href="https://huggingface.co/datasets/AlhitawiMohammed22/words_hu_dict">https://huggingface.co/datasets/AlhitawiMohammed22/words_hu_dict</a></li> <li><a href="https://huggingface.co/datasets/AlhitawiMohammed22/HungarianNames">https://huggingface.co/datasets/AlhitawiMohammed22/HungarianNames</a></li> </ul> <h3>References</h3> <p>Please cite the following if you found the resources in this corpus useful.</p> <ul> <li><strong>Unsupervised Cross-lingual Representation Learning at Scale</strong>, <em>Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, Veselin Stoyanov</em>, Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), p. 8440-8451, July 2020, <a href="https://www.aclweb.org/anthology/2020.acl-main.747.pdf">pdf</a>, <a href="https://www.aclweb.org/anthology/2020.acl-main.747.bib">bib</a>.</li> <li><strong>CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data</strong>, <em>Guillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, Vishrav Chaudhary, Francisco Guzmán, Armand Joulin, Edouard Grave</em>, Proceedings of the 12th Language Resources and Evaluation Conference (LREC), p. 4003-4012, May 2020, <a href="https://www.aclweb.org/anthology/2020.lrec-1.494.pdf">pdf</a>, <a href="https://www.aclweb.org/anthology/2020.lrec-1.494.bib">bib</a>.</li> </ul> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18216209 |
| institution | Zenodo |
| language | hun |
| publishDate | 2024 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | A Synthetic Hungarian Dataset for Handwritten Text Recognition (HTR) Al-Hitawi, Mohammed A.S OCR HTR Hungarian Dataset Hungarian HTR TrOCR Deep Learning NLP <p>The generated dataset is inherited from ref below where we use Hungarain Corpus. </p> <p>All the dataset are publicly avaliable on HuggingFace platform such as : <br>- </p> <ul> <li><a href="https://huggingface.co/datasets/AlhitawiMohammed22/lines_hu_v1_1">https://huggingface.co/datasets/AlhitawiMohammed22/lines_hu_v1_1</a></li> <li><a href="https://huggingface.co/datasets/AlhitawiMohammed22/lines_hu_v2_1">https://huggingface.co/datasets/AlhitawiMohammed22/lines_hu_v2_1</a></li> <li><a href="https://huggingface.co/datasets/AlhitawiMohammed22/lines_hu_v3">https://huggingface.co/datasets/AlhitawiMohammed22/lines_hu_v3</a></li> <li><a href="https://huggingface.co/datasets/AlhitawiMohammed22/lines_hu_v4">https://huggingface.co/datasets/AlhitawiMohammed22/lines_hu_v4</a></li> <li><a href="https://huggingface.co/datasets/AlhitawiMohammed22/lines_hu_v5">https://huggingface.co/datasets/AlhitawiMohammed22/lines_hu_v5</a></li> <li><a href="https://huggingface.co/datasets/AlhitawiMohammed22/lines_hu_v7">https://huggingface.co/datasets/AlhitawiMohammed22/lines_hu_v7</a></li> <li><a href="https://huggingface.co/datasets/AlhitawiMohammed22/words_hu_dict">https://huggingface.co/datasets/AlhitawiMohammed22/words_hu_dict</a></li> <li><a href="https://huggingface.co/datasets/AlhitawiMohammed22/HungarianNames">https://huggingface.co/datasets/AlhitawiMohammed22/HungarianNames</a></li> </ul> <h3>References</h3> <p>Please cite the following if you found the resources in this corpus useful.</p> <ul> <li><strong>Unsupervised Cross-lingual Representation Learning at Scale</strong>, <em>Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, Veselin Stoyanov</em>, Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), p. 8440-8451, July 2020, <a href="https://www.aclweb.org/anthology/2020.acl-main.747.pdf">pdf</a>, <a href="https://www.aclweb.org/anthology/2020.acl-main.747.bib">bib</a>.</li> <li><strong>CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data</strong>, <em>Guillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, Vishrav Chaudhary, Francisco Guzmán, Armand Joulin, Edouard Grave</em>, Proceedings of the 12th Language Resources and Evaluation Conference (LREC), p. 4003-4012, May 2020, <a href="https://www.aclweb.org/anthology/2020.lrec-1.494.pdf">pdf</a>, <a href="https://www.aclweb.org/anthology/2020.lrec-1.494.bib">bib</a>.</li> </ul> |
| title | A Synthetic Hungarian Dataset for Handwritten Text Recognition (HTR) |
| topic | OCR HTR Hungarian Dataset Hungarian HTR TrOCR Deep Learning NLP |
| url | https://doi.org/10.5281/zenodo.18216209 |