metadata
license: cc-by-nc-4.0
task_categories:
- text-classification
- token-classification
language:
- en
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
tags:
- causality
pretty_name: SCITE
paperswithcode_id: ../paper/causality-extraction-based-on-self-attentive
configs:
- config_name: causality detection
data_files:
- split: train
path: causality-detection/train.parquet
- split: test
path: causality-detection/test.parquet
features:
- name: index
dtype: string
- name: text
dtype: string
- name: label
dtype:
class_label:
names:
'0': uncausal
'1': causal
- config_name: causal candidate extraction
data_files:
- split: train
path: causal-candidate-extraction/train.parquet
- split: test
path: causal-candidate-extraction/test.parquet
features:
- name: index
dtype: string
- name: tokens
sequence: string
- name: entity
sequence:
sequence: int32
- config_name: causality identification
data_files:
- split: train
path: causality-identification/train.parquet
- split: test
path: causality-identification/test.parquet
features:
- name: index
dtype: string
- name: text
dtype: string
- name: relations
list:
- name: relationship
dtype:
class_label:
names:
'0': no-rel
'1': causal
- name: first
dtype: string
- name: second
dtype: string
train-eval-index:
- config: causality detection
task: text-classification
task_id: text_classification
splits:
train_split: train
eval_split: test
col_mapping:
text: text
label: label
metrics:
- type: accuracy
- type: precision
- type: recall
- type: f1
- config: causal candidate extraction
task: token-classification
task_id: token_classification
splits:
train_split: train
eval_split: test
metrics:
- type: accuracy
- type: precision
- type: recall
- type: f1
- config: causality identification
task: text-classification
task_id: text_classification
splits:
train_split: train
eval_split: test
metrics:
- type: accuracy
- type: precision
- type: recall
- type: f1
This repository integrates the SCITE extended SemEval 2010 Task 8 dataset into hf datasets. It is in conformance with SCITE's CC BY-NC 4.0 license. Please find the original dataset here. Please see the citations at the end of this README.
Dataset Description
- Repository: https://github.com/Das-Boot/scite/tree/master
- Paper: Causality extraction based on self-attentive BiLSTM-CRF with transferred embeddings
Usage
Causality Detection
from datasets import load_dataset
dataset = load_dataset("webis/SCITE", "causality detection")
Causal Candidate Extraction
from datasets import load_dataset
dataset = load_dataset("webis/SCITE", "causal candidate extraction")
Causality Identification
from datasets import load_dataset
dataset = load_dataset("webis/SCITE", "causality identification")
Citations
The SCITE paper by Li et al., 2021:
@article{li:2021,
title = {Causality Extraction Based on Self-Attentive {{BiLSTM-CRF}} with Transferred Embeddings},
author = {Li, Zhaoning and Li, Qi and Zou, Xiaotian and Ren, Jiangtao},
year = {2021},
journal = {Neurocomputing},
volume = {423},
pages = {207--219},
doi = {10.1016/J.NEUCOM.2020.08.078}
}
SemEval 2010 Task 8 by Hendrickx et al., 2010 which SCITE builds upon:
@inproceedings{hendrickx:2010,
title = {{{SemEval-2010 Task}} 8: {{Multi-Way Classification}} of {{Semantic Relations}} between {{Pairs}} of {{Nominals}}},
shorttitle = {{{SemEval-2010 Task}} 8},
booktitle = {Proceedings of the 5th {{International Workshop}} on {{Semantic Evaluation}}, {{SemEval}}@{{ACL}} 2010, {{Uppsala University}}, {{Uppsala}}, {{Sweden}}, {{July}} 15-16, 2010},
author = {Hendrickx, Iris and Kim, Su Nam and Kozareva, Zornitsa and Nakov, Preslav and S{\'e}aghdha, Diarmuid {\'O} and Pad{\'o}, Sebastian and Pennacchiotti, Marco and Romano, Lorenza and Szpakowicz, Stan},
editor = {Erk, Katrin and Strapparava, Carlo},
year = {2010},
pages = {33--38},
publisher = {The Association for Computer Linguistics}
}