| {"j0hngou--ccmatrix_de-en": { | |
| "description": "CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB\n\nWe show that margin-based bitext mining in LASER's multilingual sentence space can be applied to\nmonolingual corpora of billions of sentences to produce high quality aligned translation data.\nWe use thirty-two snapshots of a curated common crawl corpus [1] totaling 69 billion unique sentences.\nUsing one unified approach for 80 languages, we were able to mine 10.8 billion parallel sentences,\nout of which only 2.9 billion are aligned with English.\n\nIMPORTANT: Please cite reference [2][3] if you use this data.\n\n[1] Guillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, Vishrav Chaudhary, Francisco Guzm\u00e1n, Armand Jouli\n and Edouard Grave, CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data\n\n[2] Holger Schwenk, Guillaume Wenzek, Sergey Edunov, Edouard Grave and Armand Joulin,\n CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB\n\n[3] Angela Fan, Shruti Bhosale, Holger Schwenk, Zhiyi Ma, Ahmed El-Kishky, Siddharth Goyal, Mandeep Baines,\n Onur Celebi, Guillaume Wenzek, Vishrav Chaudhary, Naman Goyal, Tom Birch, Vitaliy Liptchinsky,\n Sergey Edunov, Edouard Grave, Michael Auli, and Armand Joulin.\n Beyond English-Centric Multilingual Machine Translation\n \n90 languages, 1,197 bitexts\ntotal number of files: 90\ntotal number of tokens: 112.14G\ntotal number of sentence fragments: 7.37G\n", | |
| "citation": " Guillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, Vishrav Chaudhary, Francisco Guzm\u00e1n, Armand Jouli and Edouard Grave, CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data\n", | |
| "homepage": "https://opus.nlpl.eu/CCMatrix.php", | |
| "license": "", | |
| "features": { | |
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| "_type": "Value" | |
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| "dtype": "float32", | |
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| "translation": { | |
| "languages": [ | |
| "de", | |
| "en" | |
| ], | |
| "id": null, | |
| "_type": "Translation" | |
| } | |
| }, | |
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| "builder_name": "ccmatrix", | |
| "config_name": "de-en", | |
| "version": { | |
| "version_str": "1.0.0", | |
| "description": null, | |
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| "train": { | |
| "name": "train", | |
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| "num_examples": 1000000, | |
| "dataset_name": "ccmatrix_de-en" | |
| } | |
| }, | |
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| }} |