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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
---
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