README.md

metadata

task_categories:
  - text-classification
language:
  - en
multilinguality:
  - monolingual
size_categories:
  - 1K<n<10K
tags:
  - causality
pretty_name: SemEval 2010 Task 8
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: 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: 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 causal subset of SemEval 2010 Task 8 into hf datasets. Please find the original dataset here. We used the UniCausal reformatting of the data as the basis for this repository. Note that only the Cause-Effect relation pairs are retained; other relation types are discarded. Please see the citations at the end of this README.

Dataset Description

• Homepage: https://semeval.github.io/SemEval2010/
• Paper: SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations Between Pairs of Nominals

Usage

Causality Detection

from datasets import load_dataset
dataset = load_dataset("thagen/SemEval2010T8", "causality detection")

Causality Identification

from datasets import load_dataset
dataset = load_dataset("thagen/SemEval2010T8", "causality identification")

Citations

The SemEval 2010 Task 8 paper by Hendrickx et al., 2010:

@inproceedings{hendrickx:2010,
  title = {{S}em{E}val-2010 Task 8: Multi-Way Classification of Semantic Relations Between Pairs of Nominals},
  booktitle = {Proceedings of the 5th International Workshop on Semantic Evaluation},
  author = {Hendrickx, Iris and Kim, Su Nam and Kozareva, Zornitsa and Nakov, Preslav and {\'O} S{\'e}aghdha, Diarmuid and Pad{\'o}, Sebastian and Pennacchiotti, Marco and Romano, Lorenza and Szpakowicz, Stan},
  year = {2010},
  pages = {33--38},
  publisher = {Association for Computational Linguistics}
}

UniCausal by Tan et al., 2023 — who's dataformat we used to make SemEval 2010 Task 8 compatible with hf datasets:

@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}
}