| --- |
| pretty_name: Wikibooks Instruct pt-BR |
| language: |
| - pt |
| license: cc-by-sa-3.0 |
| tags: |
| - synthetic |
| - instruction-tuning |
| - sft |
| - wikibooks |
| - portuguese |
| - pt-br |
| task_categories: |
| - text-generation |
| - question-answering |
| - summarization |
| size_categories: |
| - 100K<n<1M |
| configs: |
| - config_name: messages |
| data_files: |
| - split: train |
| path: data/messages/train/*.jsonl |
| - config_name: alpaca |
| data_files: |
| - split: train |
| path: data/alpaca/train/*.jsonl |
| - config_name: prompt_completion |
| data_files: |
| - split: train |
| path: data/prompt_completion/train/*.jsonl |
| - config_name: canonical |
| data_files: |
| - split: train |
| path: data/canonical/train/*.jsonl |
| - config_name: source_documents |
| data_files: |
| - split: train |
| path: source_documents/train/*.jsonl |
| --- |
| |
| # Wikibooks Instruct pt-BR |
|
|
| Synthetic instruction-tuning dataset in Brazilian Portuguese generated from |
| cleaned Portuguese Wikibooks text. |
|
|
| The published run contains all accepted examples from |
| `20260630T233835Z-wikibooks-instruct-7fec6755`. |
|
|
| ## Summary |
|
|
| - Accepted examples: 106,010 |
| - Attempted examples: 248,040 |
| - Original target: 127,330 examples |
| - Run status in metadata: `partial` |
| - Source documents selected: 9,095 |
| - Split: `train` only |
| - Source dataset: `costadev00/wikibooks-pt-br-extract` |
| - Source revision: `6a64293ff7bb35dba45afe06b2063abc91790bb3` |
| - Generator: `google/gemma-4-31B-it-qat-w4a16-ct` via local vLLM |
| - Evaluation: deterministic composite filters; no LLM judge coverage |
|
|
| ## Configs |
|
|
| Use the config that matches your training pipeline: |
|
|
| - `messages`: chat-style records with `messages`. |
| - `alpaca`: records with `instruction`, `input`, and `output`. |
| - `prompt_completion`: records with `prompt` and `completion`. |
| - `canonical`: richest internal export with all major fields. |
| - `source_documents`: selected source text snapshot used by the run. |
|
|
| Each instruction example includes provenance fields such as `document_id`, |
| `source_title`, `task`, `difficulty`, `evidence`, `generator`, and `model`. |
|
|
| ## Task Mix |
|
|
| The run covers 14 task families: |
|
|
| - `classification` |
| - `closed_qa` |
| - `comparison` |
| - `concept_explanation` |
| - `definition` |
| - `didactic_explanation` |
| - `fact_checking` |
| - `information_extraction` |
| - `rewrite` |
| - `short_answer` |
| - `structured_extraction` |
| - `summarization` |
| - `taxonomy` |
| - `timeline` |
|
|
| Difficulty distribution: |
|
|
| - `easy`: 26,493 |
| - `medium`: 53,093 |
| - `hard`: 26,424 |
|
|
| ## License and Attribution |
|
|
| This dataset is derived from Portuguese Wikibooks content via |
| `costadev00/wikibooks-pt-br-extract`, which is licensed as `cc-by-sa-3.0` on |
| the Hub. Preserve appropriate attribution and share-alike obligations when |
| redistributing derived versions. |
|
|
| ## Reproducibility Metadata |
|
|
| Execution metadata is included under `metadata/`: |
|
|
| - `config.resolved.json` |
| - `manifest.json` |
| - `plan.json` |
| - `progress.json` |
| - `report.json` |
| - `corpus-index.jsonl` |
|
|
| The internal SQLite run database is intentionally not included. |
|
|
