SpaCE2021 / README.md
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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
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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
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- name: validation
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- name: test
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num_examples: 1952
download_size: 4607294
dataset_size: 4072217
- 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:
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num_examples: 1203
- name: test
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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。](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]