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license: odc-by |
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task_categories: |
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- text-generation |
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language: |
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- zh |
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- en |
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size_categories: |
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- 100B<n<1T |
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extra_gated_fields: |
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Name: text |
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Affiliation: text |
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Email: text |
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--- |
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# Dataset Card for Oasis-Corpus |
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## Dataset Description |
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Oasis-Corpus is a 783GB high-quality bilingual corpus. |
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All data in Oasis-Corpus are built by Oasis and sourced from Common Crawl. |
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It consists of 374GB of Chinese from 17 recent dumps and 409GB of English textual data from 5 dumps. |
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### Languages |
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English(409GB, 70,121,125 lines) and Chinese(374GB, 110,580,964 lines) |
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## Data Splits |
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| Language | Dump | docs | size | |
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| --- | --- | --- | --- | |
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| Chinese | cc-may-jun-2023-zh | 5,627,020 | 19.31 GB | |
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| | cc-mar-apr-2023-zh | 5,548,376 | 19.22 GB | |
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| | cc-jan-feb-2023-zh | 5,369,296 | 18.55 GB | |
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| | cc-sep-oct-2022-zh | 6,156,501 | 20.86 GB | |
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| | cc-aug-2022-zh | 4,971,629 | 17.14 GB | |
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| | cc-jun-jul-2022-zh | 5,566,643 | 18.85 GB | |
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| | cc-may-2022-zh | 6,408,203 | 21.53 GB | |
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| | cc-jan-2022-zh | 6,853,895 | 22.70 GB | |
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| | cc-oct-2021-zh | 7,975,739 | 26.35 GB | |
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| | cc-sep-2021-zh | 7,371,460 | 24.69 GB | |
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| | cc-jul-aug-2021-zh | 6,643,794 | 22.17 GB | |
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| | cc-jun-2021-zh | 6,509,108 | 22.25 GB | |
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| | cc-may-2021-zh | 5,142,078 | 17.63 GB | |
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| | cc-apr-2021-zh | 7,284,775 | 24.32 GB | |
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| | cc-jan-2021-zh | 8,133,760 | 27.19 GB | |
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| | cc-nov-dec-2020-zh | 6,834,254 | 23.49 GB | |
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| | cc-oct-2020-zh | 8,184,433 | 27.40 GB | |
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| English | cc-may-jun-2023-en | 15,712,655 | 90.74 GB | |
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| | cc-may-2022-en | 14,728,252 | 81.81 GB | |
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| | cc-jun-jul-2022-en | 14,124,173 | 81.66 GB | |
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| | cc-jan-2022-en | 12,686,195 | 78.67 GB | |
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| | cc-oct-2021-en | 12,869,850 | 75.24 GB | |
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## Dataset Structure |
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### Data Fields |
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* text:the processed and cleaned text contained in the page |
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* timestamp:timestamp of when the webpage was crawled by CommonCrawl |
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* url:the url of the webpage crawled to produce the sample |
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## Dataset Creation |
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* (1) Ungoliant Content Extraction |
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* (2) Rule Filter |
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* (3) Neural Filter |
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* (4) Document Deduplication |
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### Contact |
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The Laboratory of Cognition and Decision Intelligence for Complex Systems. Institute of Automation, Chinese Academy of Sciences |
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[email protected] |
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[email protected] |
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