|
--- |
|
dataset_info: |
|
features: |
|
- name: id |
|
dtype: string |
|
- name: document_id |
|
dtype: int32 |
|
- name: text |
|
dtype: string |
|
- name: passages |
|
list: |
|
- name: id |
|
dtype: string |
|
- name: text |
|
dtype: string |
|
- name: offsets |
|
list: int32 |
|
- name: entities |
|
list: |
|
- name: id |
|
dtype: string |
|
- name: type |
|
dtype: string |
|
- name: text |
|
dtype: string |
|
- name: offsets |
|
list: int32 |
|
- name: semantic_type_id |
|
dtype: string |
|
- name: role |
|
dtype: string |
|
- name: relations |
|
list: |
|
- name: id |
|
dtype: string |
|
- name: type |
|
dtype: string |
|
- name: contextualAspect |
|
dtype: string |
|
- name: contextualModality |
|
dtype: string |
|
- name: degree |
|
dtype: string |
|
- name: docTimeRel |
|
dtype: string |
|
- name: eventType |
|
dtype: string |
|
- name: permanence |
|
dtype: string |
|
- name: polarity |
|
dtype: string |
|
- name: functionInDocument |
|
dtype: string |
|
- name: timex3Class |
|
dtype: string |
|
- name: value |
|
dtype: string |
|
- name: concept_1 |
|
dtype: string |
|
- name: concept_2 |
|
dtype: string |
|
config_name: e3c_source |
|
splits: |
|
- name: en.layer1 |
|
num_bytes: 1645819 |
|
num_examples: 84 |
|
- name: en.layer2 |
|
num_bytes: 881290 |
|
num_examples: 171 |
|
- name: en.layer2.validation |
|
num_bytes: 101379 |
|
num_examples: 19 |
|
- name: en.layer3 |
|
num_bytes: 7672589 |
|
num_examples: 9779 |
|
- name: es.layer1 |
|
num_bytes: 1398186 |
|
num_examples: 81 |
|
- name: es.layer2 |
|
num_bytes: 907515 |
|
num_examples: 162 |
|
- name: es.layer2.validation |
|
num_bytes: 103936 |
|
num_examples: 18 |
|
- name: es.layer3 |
|
num_bytes: 6656630 |
|
num_examples: 1876 |
|
- name: eu.layer1 |
|
num_bytes: 2217479 |
|
num_examples: 90 |
|
- name: eu.layer2 |
|
num_bytes: 306291 |
|
num_examples: 111 |
|
- name: eu.layer2.validation |
|
num_bytes: 95276 |
|
num_examples: 10 |
|
- name: eu.layer3 |
|
num_bytes: 4656179 |
|
num_examples: 1232 |
|
- name: fr.layer1 |
|
num_bytes: 1474138 |
|
num_examples: 81 |
|
- name: fr.layer2 |
|
num_bytes: 905084 |
|
num_examples: 168 |
|
- name: fr.layer2.validation |
|
num_bytes: 101701 |
|
num_examples: 18 |
|
- name: fr.layer3 |
|
num_bytes: 457927491 |
|
num_examples: 25740 |
|
- name: it.layer1 |
|
num_bytes: 1036560 |
|
num_examples: 86 |
|
- name: it.layer2 |
|
num_bytes: 888138 |
|
num_examples: 174 |
|
- name: it.layer2.validation |
|
num_bytes: 99549 |
|
num_examples: 18 |
|
- name: it.layer3 |
|
num_bytes: 86243680 |
|
num_examples: 10213 |
|
download_size: 230213492 |
|
dataset_size: 575318910 |
|
--- |
|
|
|
# Dataset Card for E3C |
|
|
|
## Dataset Description |
|
|
|
- **Homepage:** https://github.com/hltfbk/E3C-Corpus |
|
- **PubMed** False |
|
- **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 |
|
|
|
``` |
|
@inproceedings{DBLP:conf/clic-it/MagniniALSZ20, |
|
author = {Bernardo Magnini and |
|
Bego{\~{n}}a Altuna and |
|
Alberto Lavelli and |
|
Manuela Speranza and |
|
Roberto Zanoli}, |
|
editor = {Johanna Monti and |
|
Felice Dell'Orletta and |
|
Fabio Tamburini}, |
|
title = {The {E3C} Project: Collection and Annotation of a Multilingual Corpus |
|
of Clinical Cases}, |
|
booktitle = {Proceedings of the Seventh Italian Conference on Computational Linguistics, |
|
CLiC-it 2020, Bologna, Italy, March 1-3, 2021}, |
|
series = {{CEUR} Workshop Proceedings}, |
|
volume = {2769}, |
|
publisher = {CEUR-WS.org}, |
|
year = {2020}, |
|
url = {https://ceur-ws.org/Vol-2769/paper\_55.pdf}, |
|
timestamp = {Fri, 10 Mar 2023 16:22:17 +0100}, |
|
biburl = {https://dblp.org/rec/conf/clic-it/MagniniALSZ20.bib}, |
|
bibsource = {dblp computer science bibliography, https://dblp.org} |
|
} |
|
``` |
|
|
|
``` |
|
@article{Zanoli_Lavelli_Verdi do Amarante_Toti_2024, |
|
title={Assessment of the E3C corpus for the recognition of disorders in clinical texts}, volume={30}, DOI={10.1017/S1351324923000335}, |
|
number={4}, |
|
journal={Natural Language Engineering}, |
|
author={Zanoli, Roberto and Lavelli, Alberto and Verdi do Amarante, Daniel and Toti, Daniele}, |
|
year={2024}, |
|
pages={851–869}} |
|
``` |
|
|