metadata

language:
  - zh
task_categories:
  - text-classification
task_ids:
  - acceptability-classification
  - natural-language-inference
license: cc-by-nc-sa-4.0
pretty_name: space21
size_categories:
  - 10K<n<100K
annotations_creators:
  - crowdsourced
  - expert-generated
  - machine-generated
source_datasets:
  - ccl
dataset_info:
  - config_name: task1
    features:
      - name: qID
        dtype: string
      - name: context
        dtype: string
      - name: judge1
        dtype: bool
    splits:
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        num_examples: 4237
      - name: validation
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        num_examples: 806
      - name: test
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        num_examples: 794
    download_size: 2373041
    dataset_size: 2055328
  - config_name: task2
    features:
      - name: qID
        dtype: string
      - name: context
        dtype: string
      - name: reason
        dtype: string
      - name: judge2
        dtype: bool
    splits:
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        num_examples: 5989
      - name: validation
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        num_examples: 2088
      - name: test
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        num_examples: 1952
    download_size: 4607294
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  - config_name: task3
    features:
      - name: qID
        dtype: string
      - name: context
        dtype: string
      - name: reason
        dtype: string
      - name: judge1
        dtype: bool
      - name: judge2
        dtype: bool
    splits:
      - name: validation
        num_bytes: 539209
        num_examples: 1203
      - name: test
        num_bytes: 445760
        num_examples: 1167
    download_size: 1110504
    dataset_size: 984969

Dataset Card for SpaCE2021

Dataset Description

Homepage: http://ccl.pku.edu.cn:8084/SpaCE2021/
Repository: https://github.com/2030NLP/SpaCE2021
Paper: 詹卫东、孙春晖、岳朋雪、唐乾桐、秦梓巍，2022，空间语义理解能力评测任务设计的新思路——SpaCE2021数据集的研制，《语言文字应用》2022年第2期（总第122期），pp.99-110。
Leaderboard: https://github.com/2030NLP/SpaCE2021
Point of Contact: sc_eval@163.com

Dataset Summary

This dataset card aims to be a base template for new datasets. It has been generated using this raw template.

Supported Tasks and Leaderboards

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Languages

Chinese

Dataset Structure

Data Instances

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Data Fields

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Data Splits

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Dataset Creation

Curation Rationale

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Source Data

Initial Data Collection and Normalization

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Who are the source language producers?

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Annotations

Annotation process

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Who are the annotators?

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

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Citation Information

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Contributions

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