| --- |
| annotations_creators: |
| - no-annotation |
| language_creators: |
| - found |
| language: |
| - bs |
| - bg |
| - en |
| - is |
| - hr |
| - cnr |
| - mk |
| - mt |
| - sl |
| - sr |
| - sq |
| - tr |
| license: |
| - cc0-1.0 |
| multilinguality: |
| - translation |
| pretty_name: MaCoCu_parallel |
| size_categories: |
| - 10M<n<100M |
| source_datasets: |
| - original |
| task_categories: |
| - translation |
| task_ids: [] |
| dataset_info: |
| - config_name: enis |
| features: |
| - name: translation |
| dtype: |
| translation: |
| languages: |
| - is |
| - en |
| splits: |
| - name: train |
| num_bytes: 133883139 |
| num_examples: 546172 |
| download_size: 133883139 |
| dataset_size: 133883139 |
| - config_name: enbg |
| features: |
| - name: translation |
| dtype: |
| translation: |
| languages: |
| - bg |
| - en |
| splits: |
| - name: train |
| num_bytes: 133883139 |
| num_examples: 546172 |
| download_size: 133883139 |
| dataset_size: 133883139 |
| --- |
| license: cc0-1.0 |
| --- |
| ### Dataset Summary |
| The collection of MaCoCu parallel corpora have been crawled and consist of pairs of source and target segments (one or several sentences) and additional metadata. The following metadata is included: |
| - "src_url" and "trg_url": source and target document URL; |
| - "src_text" and "trg_text": text in non-English language and in English Language; |
| - "bleualign_score": similarity score as provided by the sentence alignment tool Bleualign (value between 0 and 1); |
| - "src_deferred_hash" and "trg_deferred_hash": hash identifier for the corresponding segment; |
| - "src_paragraph_id" and "trg_paragraph_id": identifier of the paragraph where the segment appears in the original document; |
| - "src_doc_title" and "trg_doc_title": title of the documents from which segments where obtained; |
| - "src_crawl_date" and "trg_crawl_date": date and time when source and target documents where donwoaded; |
| - "src_file_type" and "trg_file_type": type of the original documents (usually HTML format); |
| - "src_boilerplate" and "trg_boilerplate": are source or target segments boilerplates? |
| - "bifixer_hash": hash identifier for the segment pair; |
| - "bifixer_score": score that indicates how likely are segments to be correct in their corresponding language; |
| - "bicleaner_ai_score": score that indicates how likely are segments to be parallel; |
| - "biroamer_entities_detected": do any of the segments contain personal information? |
| - "dsi": a DSI class (“dsi”): information whether the segment is connected to any of Digital Service Infrastructure (DSI) classes (e.g., cybersecurity, e-health, e-justice, open-data-portal), defined by the Connecting Europe Facility (https://github.com/RikVN/DSI); |
| - "translation_direction": translation direction and machine translation identification ("translation-direction"): the source segment in each segment pair was identified by using a probabilistic model (https://github.com/RikVN/TranslationDirection), which also determines if the translation has been produced by a machine-translation system; |
| - "en_document_level_variant": the language variant of English (British or American, using a lexicon-based English variety classifier - https://pypi.org/project/abclf/) was identified on document and domain level; |
| - "domain_en": name of the web domain for the English document; |
| - "en_domain_level_variant": language variant for English at the level of the web domain. |
| |
| To load a language pair just indicate the dataset and the pair of languages with English first |
| |
| ```python |
| dataset = load_dataset("MaCoCu/parallel_data", "en-is") |
| ``` |
| |
