---
language:
  - en
license: mit
pretty_name: altlex
task_categories:
  - text-classification
  - token-classification
configs:
  - config_name: causality detection
    description: Data prepared for identifying the presence of a causal relation in a text.
    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
    description: Data prepared for span detection of Cause and Effect entities within text.
    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
        dtype:
          sequence: string
      - name: labels
        dtype:
          sequence:
            dtype: 
              class_label:
                names:
                  '0': outside
                  '1': B-Cause
                  '2': I-Cause
                  '3': B-Effect
                  '4': I-Effect
            
  - config_name: causality identification
    description: Data prepared for classifying if two sequences have a causal relationship.
    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: label
        dtype:
          class_label:
            names:
              '0': uncausal
              '1': causal
---