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ufal
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bilingual-abstracts-corpus

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Text Generation

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zouharvi commited on Mar 12

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@@ -24,18 +24,18 @@ This is a parallel (bilingual) corpus of Czech and mostly English abstracts of s
 For each publication record, the authors are obliged to provide both the original abstract (in Czech or English), and its translation (English or Czech) in the internal Biblio system.
 The data was filtered for duplicates and missing entries, ensuring that every record is bilingual.
 Additionally, records of published papers which are indexed by SemanticScholar contain the respective link.
-The dataset was created from September 2022 image of the Biblio database and is stored in JSONL format, with each line corresponding to one record.
 You can run `statistics.py` from the [original repo](https://github.com/ufal/bilingual-abstracts-corpus) to get an overview for the dataset:
 |||
 |-|-|
-|Total records                      | 2659  |
-|Average sents (words) per abstract | 4.0 (96.0)  |
-|Total sents (words) (en)           | 11k (255k)  |
-|Langs                              | en 2086 (78.5%), cs 548 (20.6%), ru 13 (0.5%), ... (long tail of less-represented languages)  |
 |Papers with S2 links               | 47.2%  |
-|Publication year                   | 2022: 65, 2021: 204, 2020: 161, 2019: 147, 2018: 173, 2017: 183, 2016: 205, 2015: 169, 2014: 187, 2013: 155, 2012: 146, 2011: 123, 2010: 146, 2009: 132, 2008: 133, 2007: 105, 2006:  113, 2005: 79, 2004: 13, 2003: 4, 2002: 5, 2001: 3, 2000: 4, 1998: 3, 1997: 1 |
 ## Example

 For each publication record, the authors are obliged to provide both the original abstract (in Czech or English), and its translation (English or Czech) in the internal Biblio system.
 The data was filtered for duplicates and missing entries, ensuring that every record is bilingual.
 Additionally, records of published papers which are indexed by SemanticScholar contain the respective link.
+The dataset was created from March 2024 image of the Biblio database and is stored in JSONL format, with each line corresponding to one record.
 You can run `statistics.py` from the [original repo](https://github.com/ufal/bilingual-abstracts-corpus) to get an overview for the dataset:
 |||
 |-|-|
+|Total records                      | 3079  |
+|Average sents (words) per abstract | 4.1 (98.7)  |
+|Total sents (words) (en)           | 12k (303771)  |
+|Langs                              | en 2404 (78.1%), cs 650 (21.1%), ru 13 (0.4%), ... (long tail of less-represented languages)  |
 |Papers with S2 links               | 47.2%  |
+|Publication year                   | 2024: 35, 2023: 246, 2022: 197, 2021: 210, 2020: 163, 2019: 147, 2018: 173, 2017: 183, 2016: 206, 2015: 169, 2014: 187, 2013: 155, 2012: 146, 2011: 123, 2010: 146, 2009: 132, 2008: 133, 2007: 103, 2006: 113, 2005: 79, 2004: 13, 2003: 4, 2002: 5, 2001: 3, 2000: 4, 1998: 3, 1997: 1 |
 ## Example