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.gitattributes

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README.md

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-Swedish text corpus created by extracting the `"text"` from `dataset = load_dataset("europarl_bilingual", lang1="en", lang2="sv", split="train")` and processing it with:
-
-```python
-import re
-
-def extract_text(batch):
-  text = batch["translation"]["sv"]
-  batch["text"] = re.sub(chars_to_ignore_regex, "", text.lower())
-  return batch
-```

dataset_infos.json

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-{"hf-test--swedish_corpora_parliament_processed": {"description": "A parallel corpus extracted from the European Parliament web site by Philipp Koehn (University of Edinburgh). The main intended use is to aid statistical machine translation research.\n", "citation": "http://www.lrec-conf.org/proceedings/lrec2012/pdf/463_Paper.pdf", "homepage": "https://opus.nlpl.eu/Europarl.php", "license": "The data set comes with the same license\nas the original sources.\nPlease, check the information about the source\nthat is given on\nhttp://opus.nlpl.eu/Europarl-v8.php\n", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "europarl_bilingual", "config_name": "en-sv", "version": {"version_str": "8.0.0", "description": null, "major": 8, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 292359009, "num_examples": 1892723, "dataset_name": "swedish_corpora_parliament_processed"}}, "download_checksums": null, "download_size": 158752204, "post_processing_size": null, "dataset_size": 292359009, "size_in_bytes": 451111213}}

data/train-00000-of-00001.parquet → hf-test--swedish_corpora_parliament_processed/parquet-train.parquet

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