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@@ -16,22 +16,13 @@ pretty_name: CommonLingua-Train
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  # CommonLingua-Train
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- The training data for [PleIAs/CommonLingua](https://huggingface.co/PleIAs/CommonLingua) — a byte-level language identification model for 334 languages. **2.48 M paragraphs**, sourced exclusively from open-licensed and public-domain corpora.
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- | | |
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- |---|---|
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- | **Train rows** | 2,482,568 |
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- | **Val rows** | 272,875 |
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- | **Languages** | 334 (ISO 639-3) |
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- | **Format** | Apache Parquet (zstd-compressed) |
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- | **License** | Per-source (see attribution table) |
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-
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- ## Files
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-
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- | File | Rows | Size | Description |
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- |---|---:|---:|---|
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- | `train.parquet` | 2,482,568 | 1.08 GB | Provenance schema (10 columns) |
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- | `val.parquet` | 272,875 | 119 MB | Same schema |
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  ## Schema
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@@ -48,52 +39,16 @@ The training data for [PleIAs/CommonLingua](https://huggingface.co/PleIAs/Common
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  | `creator` | string | Author / organisation, nullable |
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  | `date` | string | Publication / extraction date, nullable |
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- ## Source attribution
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-
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- Wikipedia provides the bulk (≈ 94 %); the long tail is filled by [Common Corpus](https://huggingface.co/datasets/PleIAs/common_corpus) collections and a handful of dedicated minority-language corpora.
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-
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- | Source | Rows | License | Notes |
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- |---|---:|---|---|
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- | Wikipedia | 2,323,301 | CC-BY-SA 4.0 | Per-article paragraphs across 300+ language editions |
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- | OpenAlex | 29,733 | per-journal | Mostly CC-BY academic content (Indonesian/Malaysian, African, English) |
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- | Pralekha | 27,076 | CC-BY-SA 4.0 | Indic-language paragraphs |
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- | VOA Africa | 24,341 | Public Domain (US Federal) | Voice of America Africa-language broadcasts |
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- | Cultural Heritage | 16,381 | per-collection | Digitised heritage archives (Tocharian, Larth Etruscan, ePSD2/CDLI, Thesaurus Linguae Aegyptiae) |
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- | Perseus | 11,638 | CC-BY-SA 4.0 | Classical languages (Latin, Ancient Greek, Old Church Slavonic, Gothic) |
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- | OpenPecha | 8,317 | Public Domain / CC | Tibetan and Sanskrit (incl. Ambuda) |
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- | WaxalNLP | 5,373 | CC-BY-SA 4.0 | West African ASR transcripts |
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- | eBible | 4,877 | Public Domain | Bible translations, public-domain editions only |
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- | Chinese-Court-Decisions| 4,474 | Public Domain | Chinese court rulings |
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- | StackExchange | 3,312 | CC-BY-SA 4.0 | Q&A across StackExchange sites |
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- | Project Ben-Yehuda | 2,701 | Public Domain | Hebrew literature |
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- | USPTO | 2,029 | Public Domain | US patent filings |
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- | US-PD-Newspapers | 1,834 | Public Domain | US public-domain newspapers |
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- | HAL | 1,575 | per-license | French academic abstracts |
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- | French-PD-Newspapers | 1,539 | Public Domain | |
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- | English-PD | 1,353 | Public Domain | |
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- | dotgov | 1,130 | Public Domain | US .gov web text |
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- | French-PD-diverse | 1,065 | Public Domain | |
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- | Sefaria | 947 | Public Domain | Hebrew religious corpus |
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- | Court Listener | 931 | Public Domain | US court filings |
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- | Krike-Krake | 744 | Public Domain | Tachelhit / Berber documentation |
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- | Deutsches Zeitungsportal | 615 | Public Domain | German newspaper archive |
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- | govinfo | 572 | Public Domain | US Government publications |
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- | Creative Commons Common Crawl (CCC) | 561 | per-license CC | |
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- | enevaeldens_nyheder | 496 | Public Domain | Danish historical news |
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- | German-PD | 485 | Public Domain | |
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- | French-PD-Books | 368 | Public Domain | |
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- | French Open Data | 339 | per-license | |
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- | Spanish-Science-Pile | 323 | per-journal | |
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- The remaining ~90 sources cover the long tail of [Common Corpus](https://huggingface.co/datasets/PleIAs/common_corpus) collections (Italian-PD, Latin-PD, Spanish-PD-*, Open Korean Historical Corpus, Wikisource, UN-Digital-Library, ) and account for ~3,000 rows total. Per-row licensing is preserved in the `license` and `open_type` columns of the parquet itself.
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- ## Reproducing the model
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  ```python
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  import pyarrow.parquet as pq
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  train = pq.read_table("train.parquet", columns=["text", "lang"])
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  val = pq.read_table("val.parquet", columns=["text", "lang"])
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- # train ByteHybrid using github.com/PleIAs/bytehybrid-lid/train_lid.py
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  ```
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  ## License & responsible use
 
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  # CommonLingua-Train
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+ This is the training dataset for [PleIAs/CommonLingua](https://huggingface.co/PleIAs/CommonLingua) — a byte-level language identification model for 334 languages. It is composed of 2.48 M paragraphs, sourced exclusively from Wikipedia and other open-licensed and public-domain corpora extracted from Common Corpus.
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+ The training dataset was developed iteratively from the initial Structured Wikipedia data subset. Some of the decisions that account for SOTA-level performance includes:
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+ * Filtering of Wikipedia sources, including widespread generated content in some versions and multilingual contaminations.
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+ * Extension to non-encyclopedic sources and formats, especially long documents with OCR errors from Common corpus.
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+ * Additions of low resource language resources, especially coming from Africa, re-identified in Common Corpus.
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+ * Targeted sampling of frequent language confusions, especially between Indonesian and Malay thanks so scientific papers.
 
 
 
 
 
 
 
 
 
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  ## Schema
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  | `creator` | string | Author / organisation, nullable |
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  | `date` | string | Publication / extraction date, nullable |
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+ ## Composition
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ The core dataset is from Wikipedia (2,323,301). Additional major inclusions include OpenAlex (30,000 samples, mostly CC-BY academic content in Indonesian/Malaysian and African languages) and some new multilingual subsets we added for the Global Common Corpus update (VOA Africa, Pralekha)
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+ Training can be reproduced by keeping only the text and lang columns:
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  ```python
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  import pyarrow.parquet as pq
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  train = pq.read_table("train.parquet", columns=["text", "lang"])
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  val = pq.read_table("val.parquet", columns=["text", "lang"])
 
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  ```
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  ## License & responsible use