| | --- |
| | dataset_info: |
| | features: |
| | - name: text |
| | dtype: string |
| | - name: tokens |
| | sequence: string |
| | - name: tokens_offsets |
| | sequence: |
| | sequence: int32 |
| | - name: clinical_entity_tags |
| | sequence: |
| | class_label: |
| | names: |
| | '0': O |
| | '1': B-CLINENTITY |
| | '2': I-CLINENTITY |
| | - name: clinical_entity_cuid |
| | sequence: string |
| | - name: temporal_information_tags |
| | sequence: |
| | class_label: |
| | names: |
| | '0': O |
| | '1': B-EVENT |
| | '2': B-ACTOR |
| | '3': B-BODYPART |
| | '4': B-TIMEX3 |
| | '5': B-RML |
| | '6': I-EVENT |
| | '7': I-ACTOR |
| | '8': I-BODYPART |
| | '9': I-TIMEX3 |
| | '10': I-RML |
| | config_name: e3c |
| | splits: |
| | - name: en.layer1 |
| | num_bytes: 1632165 |
| | num_examples: 1520 |
| | - name: en.layer2 |
| | num_bytes: 3263885 |
| | num_examples: 2873 |
| | - name: en.layer2.validation |
| | num_bytes: 371196 |
| | num_examples: 334 |
| | - name: es.layer1 |
| | num_bytes: 1599169 |
| | num_examples: 1134 |
| | - name: es.layer2 |
| | num_bytes: 3192361 |
| | num_examples: 2347 |
| | - name: es.layer2.validation |
| | num_bytes: 352193 |
| | num_examples: 261 |
| | - name: eu.layer1 |
| | num_bytes: 1931109 |
| | num_examples: 3126 |
| | - name: eu.layer2 |
| | num_bytes: 1066405 |
| | num_examples: 1594 |
| | - name: eu.layer2.validation |
| | num_bytes: 279306 |
| | num_examples: 468 |
| | - name: fr.layer1 |
| | num_bytes: 1610663 |
| | num_examples: 1109 |
| | - name: fr.layer2 |
| | num_bytes: 3358033 |
| | num_examples: 2389 |
| | - name: fr.layer2.validation |
| | num_bytes: 361816 |
| | num_examples: 293 |
| | - name: it.layer1 |
| | num_bytes: 1633613 |
| | num_examples: 1146 |
| | - name: it.layer2 |
| | num_bytes: 3373977 |
| | num_examples: 2436 |
| | - name: it.layer2.validation |
| | num_bytes: 366932 |
| | num_examples: 275 |
| | download_size: 230213492 |
| | dataset_size: 24392823 |
| | language: |
| | - bqe |
| | - es |
| | - en |
| | - fr |
| | - it |
| | --- |
| | |
| | # Dataset Card for E3C |
| |
|
| | ## Dataset Description |
| |
|
| | - **Homepage:** https://github.com/hltfbk/E3C-Corpus |
| | - **Public:** True |
| | - **Tasks:** NER,RE |
| |
|
| | 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. |
| |
|
| | ## Citation Information |
| |
|
| | ``` |
| | @report{Magnini2021, |
| | author = {Bernardo Magnini and Begoña Altuna and Alberto Lavelli and Manuela Speranza |
| | and Roberto Zanoli and Fondazione Bruno Kessler}, |
| | keywords = {Clinical data,clinical enti-ties,corpus,multilingual,temporal information}, |
| | title = {The E3C Project: |
| | European Clinical Case Corpus El proyecto E3C: European Clinical Case Corpus}, |
| | url = {https://uts.nlm.nih.gov/uts/umls/home}, |
| | year = {2021}, |
| | } |
| | ``` |
