| --- |
| license: odc-by |
| language: |
| - pt |
| pretty_name: PT-BR Blogs (long-form, C4-derived) |
| size_categories: |
| - 100K<n<1M |
| task_categories: |
| - text-generation |
| tags: |
| - pt-br |
| - brazilian-portuguese |
| - blogs |
| - long-form |
| - c4 |
| - pretraining |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/*.parquet |
| --- |
| |
| # PT-BR Blogs (long-form, C4-derived) |
|
|
| Part of the **MagTina350m pretrain corpus release** by [Dataseek](https://dataseek.com.br) |
| under the Magestic.ai brand. This is one of nine silver-layer datasets that fed |
| [`dataseek/magtina350m-base`](https://huggingface.co/dataseek/magtina350m-base). |
|
|
| ## Summary |
|
|
| 185 K long-form Brazilian-Portuguese blog posts (≥ 5 K words each) extracted from C4 by filtering Blogspot, WordPress, Medium and similar platform domains. Higher per-document quality than generic web; useful for stylistic diversity and long-context training. |
|
|
| ## Source and collection method |
|
|
| Source: AllenAI C4 PT-BR slice → blog-platform domain filter → minimum-length gate (≥ 5 000 words) → NFKD normalisation → URL dedup. |
|
|
| **ETL script (in the MagTina1B repository):** [`scripts/etl/14_blogs_c4_v1.py`](https://huggingface.co/dataseek/magtina350m-base) *(public release of the ETL scripts is on the roadmap; until then the data card below documents the recipe in full).* |
|
|
| ## Filters and deduplication |
|
|
| The following filters were applied before this dataset reached its silver |
| (release-ready) state: |
|
|
| - Blog-platform domains only (blogspot, wordpress, medium, ghost, …) |
| - Word count ≥ 5 000 (long-form gate) |
| - URL dedup across web corpora |
|
|
| Global URL-normalised deduplication was applied across all web-derived corpora |
| (`webpages`, `news`, `blogs`) so the same article does not appear twice across |
| those three datasets. |
|
|
| ## Schema |
|
|
| | Column | Type | Description | |
| |---|---|---| |
| | `id` | `int64` | Stable row id. | |
| | `text` | `string` | Blog post body. | |
| | `url` | `string` | Source URL. | |
| | `domain` | `string` | Hosting platform domain. | |
| | `timestamp` | `timestamp` | Crawl timestamp. | |
| | `n_chars` | `int32` | Character count of `text`. | |
|
|
| Columns dropped at export (kept private as ETL internals): `quality_score` |
|
|
| ## Size statistics |
|
|
| | Metric | Value | |
| |---|---:| |
| | Rows | 185.0 K (185,012) | |
| | Characters | 6.92 B (6,923,317,314) | |
| | Estimated tokens (PT-BR, chars / 4.5) | 1.54 B | |
| | Compressed Parquet on disk | ~3.87 GB | |
|
|
| **Used in MagTina350m pretrain:** 1.540 B tokens |
| (8.9 % of MagTina350m's 17.39 B-token pretrain budget). |
|
|
| ## How to load |
|
|
| ```python |
| from datasets import load_dataset |
| |
| ds = load_dataset("dataseek/ptbr-blogs", split="train", streaming=True) |
| for row in ds.take(5): |
| print(row["text"][:200]) |
| ``` |
|
|
| Streaming is recommended for the larger configs. For the smaller datasets |
| (`ptbr-dou`, `ptbr-books-publicos`) eager loading is fine. |
|
|
| ## Licensing |
|
|
| ODC-BY 1.0 (CommonCrawl-derived). Long-form blog content; individual posts remain copyright of their authors. Use for non-commercial research is the safest interpretation; commercial use requires per-author clearance. |
|
|
| **Upstream attribution:** AllenAI C4 + individual blog authors |
|
|
| ## Citation |
|
|
| If you use this dataset, please cite both the upstream source and MagTina350m: |
|
|
| ```bibtex |
| @misc{magtina350m_pretrain_2026, |
| title = {MagTina350m pretrain corpus — PT-BR Blogs (long-form, C4-derived)}, |
| author = {Frasson, Ricardo and {Dataseek Team}}, |
| year = 2026, |
| publisher = {Hugging Face}, |
| url = {https://huggingface.co/datasets/dataseek/ptbr-blogs} |
| } |
| ``` |
|
|
| Please also honour the upstream license terms — for CC-BY-derived data, |
| attribution to the upstream creators is mandatory; for CC-BY-SA, downstream |
| derivatives must remain CC-BY-SA-compatible. |
|
|
| ## Intended use |
|
|
| - Pre-training, continued pre-training, or domain-adapting of Brazilian Portuguese |
| language models. |
| - PT-BR NLP research where statistically representative public-web / academic / |
| legal / encyclopedic data is needed. |
| - Reproducing or improving on the MagTina350m result. |
|
|
| ## Known limitations and PII statement |
|
|
| - **Text was NOT PII-scrubbed.** URLs, emails, phone numbers and personal names |
| that occurred in the source data may still be present. We strip zero-width |
| characters and normalise Unicode but we do not run an NER pass. |
| - **Crawled data carries upstream biases** of CommonCrawl, Wikipedia, news outlets |
| and academic institutions present in the source. We have not audited these. |
| - **No safety filtering** beyond langid and basic alpha-ratio gates. Hate-speech, |
| spam and adult content present in the source remain unless caught incidentally. |
| - **Provenance preserved at row level.** Every row has either a `url`, `source` or |
| `doc_id` column that points back to upstream — this is intentional, so consumers |
| can re-license, redact or filter. |
|
|
| ## Related releases |
|
|
| - **Model:** [`dataseek/magtina350m-base`](https://huggingface.co/dataseek/magtina350m-base) (354.6 M params, pretrained on this corpus + 8 sibling datasets) |
| - **Instruct model:** [`dataseek/magtina350m-instruct`](https://huggingface.co/dataseek/magtina350m-instruct) |
| - **Sibling datasets:** see `dataseek/ptbr-*` for all nine corpora |
|
|
| ## License |
|
|
| [odc-by](https://spdx.org/licenses/odc-by.html) |
|
|
