Datasets:

thagen
/

CausalTimeBank

task_categories:
  - text-classification
language:
  - en
multilinguality:
  - monolingual
size_categories:
  - 1K<n<10K
tags:
  - causality
pretty_name: CausalTimeBank (CTB)
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 CausalTimeBank (CTB) corpus into hf datasets. Please find the original dataset here. We used the UniCausal reformatting of the data as the basis for this repository. Please see the citations at the end of this README.

Dataset Description

Homepage: http://hlt-nlp.fbk.eu/technologies/causal-timebank
Paper: An Analysis of Causality between Events and its Relation to Temporal Information

Usage

Causality Detection

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

Causality Identification

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

Citations

The CausalTimeBank paper by Mirza et al., 2014:

@inproceedings{mirza:2014a,
  title = {Annotating {{Causality}} in the {{TempEval-3 Corpus}}},
  booktitle = {Proceedings of the {{EACL}} 2014 {{Workshop}} on {{Computational Approaches}} to {{Causality}} in {{Language}} ({{CAtoCL}})},
  author = {Mirza, Paramita and Sprugnoli, Rachele and Tonelli, Sara and Speranza, Manuela},
  editor = {Kolomiyets, Oleksandr and Moens, Marie-Francine and Palmer, Martha and Pustejovsky, James and Bethard, Steven},
  year = {2014},
  month = apr,
  pages = {10--19},
  publisher = {Association for Computational Linguistics},
  address = {Gothenburg, Sweden},
  doi = {10.3115/v1/W14-0702}
}

UniCausal by Tan et al., 2023 — who's dataformat we used to make CTB 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}
}