| | --- |
| | 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") |
| | ``` |
| | |
