Datasets:

lavis-nlp
/

german_legal_sentences

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The contained sentences and their citations are parsed \nfrom real judicial decisions provided by [Open Legal Data](http://openlegaldata.io/)\n", "citation": "coming soon\n", "homepage": "", "license": "", "features": {"sent_id": {"dtype": "uint32", "id": null, "_type": "Value"}, "doc_id": {"dtype": "uint32", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "references": {"feature": {"ref_id": {"dtype": "uint32", "id": null, "_type": "Value"}, "name": {"dtype": "string", "id": null, "_type": "Value"}, "type": {"num_classes": 2, "names": ["AZ", "LAW"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "german_legal_sentences", "config_name": "sentences", "version": {"version_str": "0.0.2", "description": "", "major": 0, "minor": 0, "patch": 2}, "splits": {"train": {"name": "train", "num_bytes": 470336071, "num_examples": 1542499, "dataset_name": "german_legal_sentences"}, "validation": {"name": "validation", "num_bytes": 26119884, "num_examples": 85375, "dataset_name": "german_legal_sentences"}, "test": {"name": "test", "num_bytes": 26082080, "num_examples": 85405, "dataset_name": "german_legal_sentences"}}, "download_checksums": {"http://lavis.cs.hs-rm.de/storage/german-legal-sentences/GermanLegalSentences_v0.0.2.zip": {"num_bytes": 289263658, "checksum": "57ec7c5ba6c800383bee938cd979305d064163585a5b2fc4f46ae385e0973a1f"}}, "download_size": 289263658, "post_processing_size": null, "dataset_size": 522538035, "size_in_bytes": 811801693}, "pairs": {"description": "German Legal Sentences (GLS) is an automatically generated training dataset for semantic sentence \nmatching in the domain in german legal documents. It follows the concept of weak supervision, where \nimperfect labels are generated using multiple heuristics. For this purpose we use a combination of \nlegal citation matching and BM25 similarity. 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