metadata
language:
- en
license: apache-2.0
dataset_info:
- config_name: zho.dep.scidtb.conllu
features:
- name: id
sequence: string
- name: form
sequence: string
- name: lemma
sequence: string
- name: upos
sequence: string
- name: xpos
sequence: string
- name: feats
sequence: string
- name: head
sequence: string
- name: deprel
sequence: string
- name: deps
sequence: string
- name: misc
sequence: string
- name: doc_id
dtype: string
- name: mwe
sequence: 'null'
splits:
- name: train
num_bytes: 827143
num_examples: 308
- name: validation
num_bytes: 282227
num_examples: 103
- name: test
num_bytes: 264697
num_examples: 89
download_size: 204388
dataset_size: 1374067
- config_name: zho.dep.scidtb.rels
features:
- name: doc
dtype: string
- name: unit1_toks
dtype: string
- name: unit2_toks
dtype: string
- name: unit1_txt
dtype: string
- name: unit2_txt
dtype: string
- name: s1_toks
dtype: string
- name: s2_toks
dtype: string
- name: unit1_sent
dtype: string
- name: unit2_sent
dtype: string
- name: dir
dtype: string
- name: orig_label
dtype: string
- name: label
dtype: string
splits:
- name: train
num_bytes: 628861
num_examples: 802
- name: validation
num_bytes: 228839
num_examples: 281
- name: test
num_bytes: 181790
num_examples: 215
download_size: 254512
dataset_size: 1039490
configs:
- config_name: zho.dep.scidtb.conllu
data_files:
- split: train
path: zho.dep.scidtb.conllu/train-*
- split: validation
path: zho.dep.scidtb.conllu/validation-*
- split: test
path: zho.dep.scidtb.conllu/test-*
- config_name: zho.dep.scidtb.rels
data_files:
- split: train
path: zho.dep.scidtb.rels/train-*
- split: validation
path: zho.dep.scidtb.rels/validation-*
- split: test
path: zho.dep.scidtb.rels/test-*
https://github.com/disrpt/sharedtask2023
scditb:
@inproceedings{yang-li-2018-scidtb,
title = "{S}ci{DTB}: Discourse Dependency {T}ree{B}ank for Scientific Abstracts",
author = "Yang, An and
Li, Sujian",
booktitle = "Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)",
month = jul,
year = "2018",
address = "Melbourne, Australia",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/P18-2071",
doi = "10.18653/v1/P18-2071",
pages = "444--449",
abstract = "Annotation corpus for discourse relations benefits NLP tasks such as machine translation and question answering. In this paper, we present SciDTB, a domain-specific discourse treebank annotated on scientific articles. Different from widely-used RST-DT and PDTB, SciDTB uses dependency trees to represent discourse structure, which is flexible and simplified to some extent but do not sacrifice structural integrity. We discuss the labeling framework, annotation workflow and some statistics about SciDTB. Furthermore, our treebank is made as a benchmark for evaluating discourse dependency parsers, on which we provide several baselines as fundamental work.",
}