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license: mit
task_categories:
- text-classification
- token-classification
language:
- en
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
tags:
- causality
pretty_name: BECausE v2
paperswithcode_id: ../paper/the-because-corpus-20-annotating-causality
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: text
dtype: 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 # Does not really make sense but exists to have the same labels as the classification task
'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
---
> [!NOTE]
> This repository integrates the BECausE corpus into hf datasets. It is in conformance with BECausE's MIT license. Please find the original dataset
> [here](https://github.com/duncanka/BECAUSE). We used the [UniCausal](https://github.com/tanfiona/UniCausal/tree/main/data/splits) reformatting of the data as the basis
> for this repository. Please see the [citations](#citations) at the end of this README.
## Dataset Description
- **Repository:** https://github.com/duncanka/BECAUSE
- **Paper:** [The BECauSE Corpus 2.0: Annotating Causality and Overlapping Relations](https://doi.org/10.18653/v1/W17-0812)
# Usage
## Causality Detection
```py
from datasets import load_dataset
dataset = load_dataset("webis/BECauSEv2", "causality detection")
```
## Causal Candidate Extraction
```py
from datasets import load_dataset
dataset = load_dataset("webis/BECauSEv2", "causal candidate extraction")
```
## Causality Identification
```py
from datasets import load_dataset
dataset = load_dataset("webis/BECauSv2", "causality identification")
```
# Citations
The BECauSE v2.0 paper by [Dunietz et al., 2017](https://www.cs.cmu.edu/~jdunietz/publications/because-v2.pdf):
```bib
@inproceedings{dunietz:2017,
title = {The {{BECauSE Corpus}} 2.0: {{Annotating Causality}} and {{Overlapping Relations}}},
shorttitle = {The {{BECauSE Corpus}} 2.0},
booktitle = {Proceedings of the 11th {{Linguistic Annotation Workshop}}, {{LAW}}@{{EACL}} 2017, {{Valencia}}, {{Spain}}, {{April}} 3, 2017},
author = {Dunietz, Jesse and Levin, Lori S. and Carbonell, Jaime G.},
editor = {Schneider, Nathan and Xue, Nianwen},
year = {2017},
pages = {95--104},
publisher = {Association for Computational Linguistics},
doi = {10.18653/V1/W17-0812}
}
```
UniCausal by [Tan et al., 2023](https://link.springer.com/chapter/10.1007/978-3-031-39831-5_23) — who's dataformat we used to make BECausE compatible with hf datasets:
```bib
@inproceedings{tan:2023,
title = {{{UniCausal}}: {{Unified Benchmark}} and {{Repository}} for {{Causal Text Mining}}},
shorttitle = {{{UniCausal}}},
booktitle = {Big {{Data Analytics}} and {{Knowledge Discovery}} - 25th {{International Conference}}, {{DaWaK}} 2023, {{Penang}}, {{Malaysia}}, {{August}} 28-30, 2023, {{Proceedings}}},
author = {Tan, Fiona Anting and Zuo, Xinyu and Ng, See-Kiong},
editor = {Wrembel, Robert and Gamper, Johann and Kotsis, Gabriele and Tjoa, A. Min and Khalil, Ismail},
year = {2023},
series = {Lecture {{Notes}} in {{Computer Science}}},
volume = {14148},
pages = {248--262},
publisher = {Springer},
doi = {10.1007/978-3-031-39831-5_23}
}
``` |