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---
language:
- zh
task_categories:
- text-classification
# - feature-extraction
task_ids:
# - d
- 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:
  - name: train
  - name: validation
  - name: test
  download_size: 2373041
  dataset_size: 0
- config_name: task2
  features:
  - name: qID
    dtype: string
  - name: context
    dtype: string
  - name: reason
    dtype: string
  - name: judge2
    dtype: bool
  splits:
  - name: train
  - name: validation
  - name: test
  download_size: 4607294
  dataset_size: 0
- 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
  - name: test
  download_size: 1110504
  dataset_size: 0
---

# 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。](https://yyyy.cbpt.cnki.net/WKC/WebPublication/paperDigest.aspx?paperID=c66cca51-7783-430e-abf1-28f6c28c49f6)
- **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](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).

### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

Chinese

## Dataset Structure

### Data Instances

[More Information Needed]

### Data Fields

[More Information Needed]

### Data Splits

[More Information Needed]

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

[More Information Needed]

### Annotations

#### Annotation process

[More Information Needed]

#### Who are the annotators?

[More Information Needed]

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

[More Information Needed]

### Citation Information

[More Information Needed]

### Contributions

[More Information Needed]