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README.md

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-license: mit
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+---
+license: mit
+---
+# Romanian Wikipedia - Processed Dataset
+
+This is a processed version of the Romanian Wikipedia subset from the [FineWiki dataset](https://huggingface.co/datasets/HuggingFaceFW/finewiki), optimized for language model training and analysis. The dataset has been filtered to essential fields and enriched with token counts using tiktoken's cl100k_base encoding.
+
+## Dataset Overview
+
+- **Total Pages**: 493,462
+- **Total Size**: ~669 MB (compressed parquet)
+- **Language**: Romanian (ro)
+- **Total Tokens**: ~395 million tokens (cl100k_base encoding)
+- **Source**: FineWiki - An updated and better extracted version of the wikimedia/Wikipedia dataset originally released in 2023
+
+## Dataset Structure
+
+### Data Instances
+
+Example from the Romanian subset (values truncated for readability):
+
+```json
+{
+  "id": "rowiki/3217840",
+  "title": "Melba (film)",
+  "url": "https://ro.wikipedia.org/wiki/Melba_(film)",
+  "date_modified": "2023-08-15T10:22:31Z",
+  "text": "# Melba (film)\nMelba este un film biografic muzical britanic din 1953 regizat de Lewis Milestone...",
+  "token_count": 2145
+}
+```
+
+### Data Fields
+
+- **id** (string): dataset-unique identifier; format: `rowiki/<page_id>`
+- **title** (string): article title
+- **url** (string): canonical article URL
+- **date_modified** (string): ISO-8601 timestamp of the last page revision
+- **text** (string): cleaned, structured article text preserving headings, lists, code/pre blocks, tables and math. Has markdown formatting (headings, tables, lists)
+- **token_count** (int64): number of tokens in the text field, calculated using tiktoken's cl100k_base encoding (used by GPT-4 and similar models)
+
+## Tokenization
+
+Token counts are computed using [tiktoken](https://github.com/openai/tiktoken) with the **cl100k_base** encoding, which is the same tokenizer used by:
+- GPT-4
+- GPT-3.5-turbo
+- text-embedding-ada-002
+
+This makes the dataset particularly useful for training or fine-tuning models compatible with OpenAI's tokenization scheme.
+
+## Processing Details
+
+This dataset was created from the original FineWiki Romanian subset by:
+1. Filtering from 14 columns down to 6 essential fields
+2. Computing token counts for each article's text using tiktoken (cl100k_base)
+3. Processing in batches of 10,000 rows for efficient computation
+4. Saving as compressed parquet files with snappy compression
+
+## Files
+
+- `000_00000_processed.parquet`: 249,533 articles (~327 MB)
+- `000_00001_processed.parquet`: 243,929 articles (~342 MB)
+
+## Use Cases
+
+- Training or fine-tuning Romanian language models
+- Token budget analysis and dataset planning
+- Information retrieval and semantic search
+- Question answering systems
+- Text summarization and generation tasks
+
+## Citation Information
+
+```bibtex
+@dataset{penedo2025finewiki,
+  author    = {Guilherme Penedo},
+  title     = {FineWiki},
+  year      = {2025},
+  publisher = {Hugging Face Datasets},
+  url       = {https://huggingface.co/datasets/HuggingFaceFW/finewiki},
+  urldate   = {2025-10-20},
+  note      = {Source: Wikimedia Enterprise Snapshot API (https://api.enterprise.wikimedia.com/v2/snapshots). Text licensed under CC BY-SA 4.0 with attribution to Wikipedia contributors.}
+}
+```
+
+## License
+
+The text content is licensed under **CC BY-SA 4.0** with attribution to Wikipedia contributors, as per the original Wikipedia content license.
+
+## Dataset Creator
+
+Processed and uploaded by [Yxanul](https://huggingface.co/Yxanul)