File size: 6,102 Bytes
7377307 555c696 b773d3d b12a7b7 c55cb5c 0e75ab0 555c696 b773d3d b12a7b7 c55cb5c 0e75ab0 555c696 7377307 956bedf bb10b06 7377307 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 |
---
language:
- en
license: apache-2.0
dataset_info:
- config_name: deu.rst.pcc.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: 1061634
num_examples: 2164
- name: validation
num_bytes: 120267
num_examples: 241
- name: test
num_bytes: 131921
num_examples: 260
download_size: 542592
dataset_size: 1313822
- config_name: eng.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: string
splits:
- name: train
num_bytes: 5396222
num_examples: 2570
- name: validation
num_bytes: 1749607
num_examples: 815
- name: test
num_bytes: 1706155
num_examples: 817
download_size: 1091171
dataset_size: 8851984
- config_name: eng.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: 3463826
num_examples: 6060
- name: validation
num_bytes: 1125360
num_examples: 1933
- name: test
num_bytes: 1092953
num_examples: 1911
download_size: 1494028
dataset_size: 5682139
- 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: deu.rst.pcc.rels
data_files:
- split: train
path: deu.rst.pcc.rels/train-*
- split: validation
path: deu.rst.pcc.rels/validation-*
- split: test
path: deu.rst.pcc.rels/test-*
- config_name: eng.dep.scidtb.conllu
data_files:
- split: train
path: eng.dep.scidtb.conllu/train-*
- split: validation
path: eng.dep.scidtb.conllu/validation-*
- split: test
path: eng.dep.scidtb.conllu/test-*
- config_name: eng.dep.scidtb.rels
data_files:
- split: train
path: eng.dep.scidtb.rels/train-*
- split: validation
path: eng.dep.scidtb.rels/validation-*
- split: test
path: eng.dep.scidtb.rels/test-*
- 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.",
}
``` |