SpaCE2022 / README.md
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metadata
task_categories:
  - text-classification
  - feature-extraction
language:
  - zh
tags:
  - spatial
  - cognitive
pretty_name: SpaCE2022
size_categories:
  - 10K<n<100K
dataset_info:
  - config_name: task1
    features:
      - name: qid
        dtype: string
      - name: context
        dtype: string
      - name: judge
        dtype: int8
    splits:
      - name: train
        num_bytes: 4018440
        num_examples: 10993
      - name: validation
        num_bytes: 599209
        num_examples: 1602
    download_size: 4932714
    dataset_size: 4617649
  - config_name: task2
    features:
      - name: qid
        dtype: string
      - name: context
        dtype: string
      - name: reasons
        sequence:
          - name: fragments
            sequence:
              - name: role
                dtype:
                  class_label:
                    names:
                      '0': S
                      '1': P
                      '2': E
                      '3': S1
                      '4': P1
                      '5': E1
                      '6': S2
                      '7': P2
                      '8': E2
                      '9': text1
                      '10': text2
              - name: text
                dtype: string
              - name: idxes
                sequence: int32
          - name: type
            dtype:
              class_label:
                names:
                  '0': A
                  '1': B
                  '2': C
    splits:
      - name: train
        num_bytes: 2655240
        num_examples: 4966
      - name: validation
        num_bytes: 370883
        num_examples: 700
    download_size: 3543914
    dataset_size: 3026123

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Dataset Description

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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

ZH-CN-HANS

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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