metadata

language:
  - gl
task_categories:
  - question-answering
  - multiple-choice
  - text-generation
pretty_name: xstorycloze_gl
dataset_info:
  config_name: gl
  features:
    - name: InputStoryid
      dtype: string
    - name: InputSentence1
      dtype: string
    - name: InputSentence2
      dtype: string
    - name: InputSentence3
      dtype: string
    - name: InputSentence4
      dtype: string
    - name: RandomFifthSentenceQuiz1
      dtype: string
    - name: RandomFifthSentenceQuiz2
      dtype: string
    - name: AnswerRightEnding
      dtype: int32
  splits:
    - name: train
      num_examples: 360
    - name: test
      num_examples: 1511
configs:
  - config_name: gl
    data_files:
      - split: train
        path: XStoryCloze_train_gl.tsv
      - split: test
        path: XStoryCloze_test_gl.tsv
    default: true
license: cc-by-4.0
size_categories:
  - 1K<n<10K

Dataset Card for xstorycloze_gl

xstorycloze_gl is a question answering dataset in Galician, translated from the English StoryCloze dataset.

Dataset Details

Dataset Description

xstorycloze_gl is based on multiple-choice narrative completions. The dataset consists of 360 instances in the train split and 1511 instances in the test split. Each instance contains a story stem, divided in 4 sentences, 2 possible completions, and the number indicating the correct answer.

Curated by: Proxecto Nós
Language(s) (NLP): Galician
License: CC-BY 4.0

Dataset Sources

Repository: Proxecto NÓS at HuggingFace

Uses

xstorycloze_gl is intended to evaluate reading comprehension of language models. Some suitable use cases for the dataset are:

Common sense reasoning: xstorycloze_ca contains stories that require basic background knowledge, such as the cost of things or the consequences of social interactions.
Casuality understanding: The stories in xstorycloze_ca are full of temporal and causal relationships between events, which requires a coherent way of understanding causality in narratives.
Multiple choice test: For each story, xstorycloze_ca has 2 different completions which require reasoning between different options.
Reading comprehension: Problems and answers in xstorycloze_ca are formulated in natural language.

Dataset Structure

The dataset is provided in CSV format where each row corresponds to a four-sentence story and contains an instance identifier, the story divided in four fields for each sentence, 2 possible completions for the story, and the number - either 1 or 2 - corresponding to the correct completion. Each line contains the following fields:

InputStoryid: text string containing the identifier of the story.
InputSentence1: The first statement in the story.
InputSentence2: The second statement in the story.
InputSentence3: The third statement in the story.
InputSentence4: The forth statement in the story.
RandomFifthSentenceQuiz1: first possible continuation of the story.
RandomFifthSentenceQuiz2: second possible continuation of the story.
AnswerRightEnding: correct possible ending; either 1 or 2.