Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
json
Languages:
Macedonian
Size:
1M - 10M
ArXiv:
License:
Add link to paper, add task category
#1
by nielsr HF Staff - opened
README.md
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---
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language:
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- mk
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tags:
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- macedonian
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- text
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- deduplicated
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datasets:
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- LVSTCK/macedonian-corpus-cleaned-deduplicated
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---
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# Macedonian Corpus - Cleaned and Deduplicated
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## 🌟 Key Highlights
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- **Size**: 16.78 GB, **Word Count**: 1.47 billion
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- Deduplicated using **MinHash** to remove redundant documents.
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Macedonian is widely recognized as a low-resource language in the field of NLP. Publicly available resources in Macedonian are extremely limited, and as far as we know, no consolidated resource encompassing all available public data exists. Another challenge is the state of digitalized books and documents in Macedonia. The country lags behind in this regard, with many books and documents existing only as scanned images. This makes it difficult to extract textual information, which is critical for advancing linguistic research, education, and NLP applications in Macedonian language. To address these challenges, we created this **Macedonian Corpus**. This corpus consolidates multiple sources of Macedonian text data, including books, academic papers, web content, and other textual resources.
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This version of the corpus is both **cleaned** and **deduplicated**, processed to ensure high-quality text. The filtering was done using [datatrove](https://github.com/huggingface/datatrove), mainly motivated by [fineweb-2](https://
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Other versions: [raw](https://huggingface.co/datasets/LVSTCK/macedonian-corpus-raw), [cleaned with less aggresive deduplication](https://huggingface.co/datasets/LVSTCK/macedonian-corpus-cleaned)
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---
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language:
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- mk
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license: cc-by-4.0
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tags:
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- macedonian
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- text
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- deduplicated
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datasets:
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- LVSTCK/macedonian-corpus-cleaned-deduplicated
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task_categories:
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- text-generation
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---
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# Macedonian Corpus - Cleaned and Deduplicated
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[Paper](https://huggingface.co/papers/2506.09560)
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## 🌟 Key Highlights
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- **Size**: 16.78 GB, **Word Count**: 1.47 billion
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- Deduplicated using **MinHash** to remove redundant documents.
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Macedonian is widely recognized as a low-resource language in the field of NLP. Publicly available resources in Macedonian are extremely limited, and as far as we know, no consolidated resource encompassing all available public data exists. Another challenge is the state of digitalized books and documents in Macedonia. The country lags behind in this regard, with many books and documents existing only as scanned images. This makes it difficult to extract textual information, which is critical for advancing linguistic research, education, and NLP applications in Macedonian language. To address these challenges, we created this **Macedonian Corpus**. This corpus consolidates multiple sources of Macedonian text data, including books, academic papers, web content, and other textual resources.
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This version of the corpus is both **cleaned** and **deduplicated**, processed to ensure high-quality text. The filtering was done using [datatrove](https://github.com/huggingface/datatrove), mainly motivated by [fineweb-2](https://huggingface.co/fineweb-2), it consists of:
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Other versions: [raw](https://huggingface.co/datasets/LVSTCK/macedonian-corpus-raw), [cleaned with less aggresive deduplication](https://huggingface.co/datasets/LVSTCK/macedonian-corpus-cleaned)
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