smeoni commited on
Commit
096919c
·
1 Parent(s): 0940a41

Delete README.md

Browse files
Files changed (1) hide show
  1. README.md +0 -1
README.md DELETED
@@ -1 +0,0 @@
1
- {"en": {"description": "The European Clinical Case Corpus (E3C) project aims at collecting and annotating a large corpus of clinical documents in five European languages (Spanish, Basque, English, French and Italian), which will be freely distributed. Annotations include temporal information, to allow temporal reasoning on chronologies, and information about clinical entities based on medical taxonomies, to be used for semantic reasoning.\n", "citation": "@report{Magnini2021,\n author = {Bernardo Magnini and Bego\u00f1a Altuna and Alberto Lavelli and Manuela Speranza \n and Roberto Zanoli and Fondazione Bruno Kessler},\n keywords = {Clinical data,clinical enti-ties,corpus,multilingual,temporal information},\n title = {The E3C Project: \n European Clinical Case Corpus El proyecto E3C: European Clinical Case Corpus},\n url = {https://uts.nlm.nih.gov/uts/umls/home},\n year = {2021},\n}\n\n", "homepage": "", "license": "", "features": {"tokens": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "ner_tags": {"feature": {"num_classes": 7, "names": ["O", "CLINENTITY", "EVENT", "ACTOR", "BODYPART", "TIMEX3", "RML"], "id": null, "_type": "ClassLabel"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "dataset", "config_name": "en", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"en": {"name": "en", "num_bytes": 507939, "num_examples": 1520, "dataset_name": "dataset"}}, "download_checksums": {"https://github.com/hltfbk/E3C-Corpus/archive/refs/tags/v2.0.0.zip": {"num_bytes": 230213492, "checksum": "33120ef0a6a147231570431fc71e382d38ebe10183e7f57dd129d7fd87b10dee"}}, "download_size": 230213492, "post_processing_size": null, "dataset_size": 507939, "size_in_bytes": 230721431}, "es": {"description": "The European Clinical Case Corpus (E3C) project aims at collecting and annotating a large corpus of clinical documents in five European languages (Spanish, Basque, English, French and Italian), which will be freely distributed. Annotations include temporal information, to allow temporal reasoning on chronologies, and information about clinical entities based on medical taxonomies, to be used for semantic reasoning.\n", "citation": "@report{Magnini2021,\n author = {Bernardo Magnini and Bego\u00f1a Altuna and Alberto Lavelli and Manuela Speranza \n and Roberto Zanoli and Fondazione Bruno Kessler},\n keywords = {Clinical data,clinical enti-ties,corpus,multilingual,temporal information},\n title = {The E3C Project: \n European Clinical Case Corpus El proyecto E3C: European Clinical Case Corpus},\n url = {https://uts.nlm.nih.gov/uts/umls/home},\n year = {2021},\n}\n\n", "homepage": "", "license": "", "features": {"tokens": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "ner_tags": {"feature": {"num_classes": 7, "names": ["O", "CLINENTITY", "EVENT", "ACTOR", "BODYPART", "TIMEX3", "RML"], "id": null, "_type": "ClassLabel"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "dataset", "config_name": "es", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"es": {"name": "es", "num_bytes": 501523, "num_examples": 1134, "dataset_name": "dataset"}}, "download_checksums": {"https://github.com/hltfbk/E3C-Corpus/archive/refs/tags/v2.0.0.zip": {"num_bytes": 230213492, "checksum": "33120ef0a6a147231570431fc71e382d38ebe10183e7f57dd129d7fd87b10dee"}}, "download_size": 230213492, "post_processing_size": null, "dataset_size": 501523, "size_in_bytes": 230715015}, "eu": {"description": "The European Clinical Case Corpus (E3C) project aims at collecting and annotating a large corpus of clinical documents in five European languages (Spanish, Basque, English, French and Italian), which will be freely distributed. Annotations include temporal information, to allow temporal reasoning on chronologies, and information about clinical entities based on medical taxonomies, to be used for semantic reasoning.\n", "citation": "@report{Magnini2021,\n author = {Bernardo Magnini and Bego\u00f1a Altuna and Alberto Lavelli and Manuela Speranza \n and Roberto Zanoli and Fondazione Bruno Kessler},\n keywords = {Clinical data,clinical enti-ties,corpus,multilingual,temporal information},\n title = {The E3C Project: \n European Clinical Case Corpus El proyecto E3C: European Clinical Case Corpus},\n url = {https://uts.nlm.nih.gov/uts/umls/home},\n year = {2021},\n}\n\n", "homepage": "", "license": "", "features": {"tokens": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "ner_tags": {"feature": {"num_classes": 7, "names": ["O", "CLINENTITY", "EVENT", "ACTOR", "BODYPART", "TIMEX3", "RML"], "id": null, "_type": "ClassLabel"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "dataset", "config_name": "eu", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"eu": {"name": "eu", "num_bytes": 615175, "num_examples": 3126, "dataset_name": "dataset"}}, "download_checksums": {"https://github.com/hltfbk/E3C-Corpus/archive/refs/tags/v2.0.0.zip": {"num_bytes": 230213492, "checksum": "33120ef0a6a147231570431fc71e382d38ebe10183e7f57dd129d7fd87b10dee"}}, "download_size": 230213492, "post_processing_size": null, "dataset_size": 615175, "size_in_bytes": 230828667}, "fr": {"description": "The European Clinical Case Corpus (E3C) project aims at collecting and annotating a large corpus of clinical documents in five European languages (Spanish, Basque, English, French and Italian), which will be freely distributed. Annotations include temporal information, to allow temporal reasoning on chronologies, and information about clinical entities based on medical taxonomies, to be used for semantic reasoning.\n", "citation": "@report{Magnini2021,\n author = {Bernardo Magnini and Bego\u00f1a Altuna and Alberto Lavelli and Manuela Speranza \n and Roberto Zanoli and Fondazione Bruno Kessler},\n keywords = {Clinical data,clinical enti-ties,corpus,multilingual,temporal information},\n title = {The E3C Project: \n European Clinical Case Corpus El proyecto E3C: European Clinical Case Corpus},\n url = {https://uts.nlm.nih.gov/uts/umls/home},\n year = {2021},\n}\n\n", "homepage": "", "license": "", "features": {"tokens": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "ner_tags": {"feature": {"num_classes": 7, "names": ["O", "CLINENTITY", "EVENT", "ACTOR", "BODYPART", "TIMEX3", "RML"], "id": null, "_type": "ClassLabel"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "dataset", "config_name": "fr", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"fr": {"name": "fr", "num_bytes": 506754, "num_examples": 1109, "dataset_name": "dataset"}}, "download_checksums": {"https://github.com/hltfbk/E3C-Corpus/archive/refs/tags/v2.0.0.zip": {"num_bytes": 230213492, "checksum": "33120ef0a6a147231570431fc71e382d38ebe10183e7f57dd129d7fd87b10dee"}}, "download_size": 230213492, "post_processing_size": null, "dataset_size": 506754, "size_in_bytes": 230720246}, "it": {"description": "The European Clinical Case Corpus (E3C) project aims at collecting and annotating a large corpus of clinical documents in five European languages (Spanish, Basque, English, French and Italian), which will be freely distributed. Annotations include temporal information, to allow temporal reasoning on chronologies, and information about clinical entities based on medical taxonomies, to be used for semantic reasoning.\n", "citation": "@report{Magnini2021,\n author = {Bernardo Magnini and Bego\u00f1a Altuna and Alberto Lavelli and Manuela Speranza \n and Roberto Zanoli and Fondazione Bruno Kessler},\n keywords = {Clinical data,clinical enti-ties,corpus,multilingual,temporal information},\n title = {The E3C Project: \n European Clinical Case Corpus El proyecto E3C: European Clinical Case Corpus},\n url = {https://uts.nlm.nih.gov/uts/umls/home},\n year = {2021},\n}\n\n", "homepage": "", "license": "", "features": {"tokens": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "ner_tags": {"feature": {"num_classes": 7, "names": ["O", "CLINENTITY", "EVENT", "ACTOR", "BODYPART", "TIMEX3", "RML"], "id": null, "_type": "ClassLabel"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "dataset", "config_name": "it", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"it": {"name": "it", "num_bytes": 516047, "num_examples": 1146, "dataset_name": "dataset"}}, "download_checksums": {"https://github.com/hltfbk/E3C-Corpus/archive/refs/tags/v2.0.0.zip": {"num_bytes": 230213492, "checksum": "33120ef0a6a147231570431fc71e382d38ebe10183e7f57dd129d7fd87b10dee"}}, "download_size": 230213492, "post_processing_size": null, "dataset_size": 516047, "size_in_bytes": 230729539}}