Update README.md

README.md

@@ -1,76 +1,83 @@
 ---
-dataset_info:
-  features:
-  - name: text
-    dtype: string
-  - name: source
-    dtype: string
-  - name: is_shuffled
-    dtype: bool
-  splits:
-  - name: bashgazet_articles
-    num_bytes: 3056706
-    num_examples: 803
-  - name: bash_news_articles
-    num_bytes: 82233423
-    num_examples: 61932
-  - name: neftcity_articles
-    num_bytes: 972079
-    num_examples: 530
-  - name: public_domain
-    num_bytes: 187304
-    num_examples: 5
-  - name: texts_bashdram
-    num_bytes: 1281089
-    num_examples: 584
-  - name: texts_bashgazet
-    num_bytes: 176707311
-    num_examples: 28294
-  - name: texts_gsrb
-    num_bytes: 1532271
-    num_examples: 927
-  - name: texts_jeshlek
-    num_bytes: 39280486
-    num_examples: 6259
-  - name: texts_kiskeufa
-    num_bytes: 342494
-    num_examples: 45
-  - name: texts_kulturarb
-    num_bytes: 3993696
-    num_examples: 1557
-  - name: texts_president_rb
-    num_bytes: 7042093
-    num_examples: 1879
-  - name: texts_tabin
-    num_bytes: 1589394
-    num_examples: 539
-  download_size: 154171982
-  dataset_size: 318218346
-configs:
-- config_name: default
-  data_files:
-  - split: bashgazet_articles
-    path: data/bashgazet_articles-*
-  - split: bash_news_articles
-    path: data/bash_news_articles-*
-  - split: neftcity_articles
-    path: data/neftcity_articles-*
-  - split: public_domain
-    path: data/public_domain-*
-  - split: texts_bashdram
-    path: data/texts_bashdram-*
-  - split: texts_bashgazet
-    path: data/texts_bashgazet-*
-  - split: texts_gsrb
-    path: data/texts_gsrb-*
-  - split: texts_jeshlek
-    path: data/texts_jeshlek-*
-  - split: texts_kiskeufa
-    path: data/texts_kiskeufa-*
-  - split: texts_kulturarb
-    path: data/texts_kulturarb-*
-  - split: texts_president_rb
-    path: data/texts_president_rb-*
-  - split: texts_tabin
-    path: data/texts_tabin-*
+language: ba
+license: mit
+tags:
+- bashkir
+- low-resource-language
+- continual-training
+- news
+- llm-adaptation
+pretty_name: Bashqort Raw Corpus
+size_categories:
+- 10M<n<100M tokens
 ---
+
+# Bashqort Raw Corpus
+
+## Description
+
+This dataset contains raw Bashkir text collected for **continual training** of large language models (LLMs). It is part of the project "Adapting Open-Source LLMs for the Bashkir Language", which aims to evaluate adaptation methods proposed by LlamaTurk (Toraman, 2024) and Persian adaptation (Mahdizadeh Sani et al., 2024).
+
+The corpus is assembled from multiple sources to provide a diverse linguistic foundation for language modeling.
+
+## Sources
+
+| Source | Type | # articles / tokens |
+|--------|------|----------------------|
+| [bashgazet.ru](https://bashgazet.ru/articles) | daily socio-political newspaper | ~1,400 articles |
+| [neftcity.ru](https://neftcity.ru) | regional news | ~548 articles |
+| [bash.news](https://bash.news) | news & analytics | ~68,708 articles |
+| [bashkir-corpus](https://github.com/nevmenandr/bashkir-corpus) | mixed (public domain + shuffled) | ~20.9M tokens |
+
+Total tokens: see dataset statistics on Hugging Face.
+
+## Preprocessing
+
+- Deduplication (document and sentence level)
+- Removal of sentences with <5 words
+- Removal of HTML artifacts, ads, and metadata
+- No train/val split (the whole corpus is for self-supervised learning)
+
+## Format
+
+Each example is a JSON object with the following fields:
+
+```json
+{
+  "text": "Bashkir sentence or paragraph",
+  "source": "bashgazet.ru | neftcity.ru | bash.news | bash-corpus | etc",
+  "is_shuffled": true/false
+}
+```
+
+For plain text mode, the dataset also provides a text column with raw sentences.
+Intended Use
+
+    Continual pre‑training / further pretraining of LLMs (e.g., Llama‑2, Llama‑3)
+
+    Next‑token prediction (causal language modeling)
+
+    Any research aiming to improve Bashkir language representation in NLP
+
+Licensing
+
+This dataset is released under the MIT License.
+Citation
+
+If you use this dataset, please cite the project repository:
+```bibtex
+
+@misc{khudiakova2025bashqortraw,
+  author       = {Khudiakova, Kseniia},
+  title        = {Bashqort Raw Corpus: Bashkir Text Collection for Continual Training},
+  year         = {2025},
+  howpublished = {Hugging Face Datasets},
+  url          = {https://huggingface.co/datasets/metuKKhud/bashqort-raw}
+}
+```
+
+Additionally, consider citing the original data sources and the adaptation framework:
+
+    Toraman, C. (2024). LlamaTurk: Adapting open-source generative large language models for low-resource language. arXiv:2405.07745.
+
+    Mahdizadeh Sani, S., et al. (2024). Extending LLMs to new languages: A case study of Llama and Persian adaptation. arXiv:2412.13375.