Datasets:

ufal
/

bilingual-abstracts-corpus

Tasks:

Text Generation

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zouharvi commited on Mar 3

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@@ -25,7 +25,6 @@ For each publication record, the authors are obliged to provide both the origina
 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:

 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: