
# 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]
task_categories:text-classification task_ids:acceptability-classification task_ids:natural-language-inference annotations_creators:crowdsourced annotations_creators:expert-generated annotations_creators:machine-generated size_categories:10K<n<100K source_datasets:ccl language:zh license:cc-by-nc-sa-4.0 region:us
{"annotations_creators": ["crowdsourced", "expert-generated", "machine-generated"], "language": ["zh"], "license": "cc-by-nc-sa-4.0", "size_categories": ["10K<n<100K"], "source_datasets": ["ccl"], "task_categories": ["text-classification"], "task_ids": ["acceptability-classification", "natural-language-inference"], "pretty_name": "space21", "dataset_info": [{"config_name": "task1", "features": [{"name": "qID", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "judge1", "dtype": "bool"}], "splits": [{"name": "train", "num_bytes": 1470413, "num_examples": 4237}, {"name": "validation", "num_bytes": 321061, "num_examples": 806}, {"name": "test", "num_bytes": 263854, "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": [{"name": "train", "num_bytes": 2586476, "num_examples": 5989}, {"name": "validation", "num_bytes": 712348, "num_examples": 2088}, {"name": "test", "num_bytes": 773393, "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": [{"name": "validation", "num_bytes": 539209, "num_examples": 1203}, {"name": "test", "num_bytes": 445760, "num_examples": 1167}], "download_size": 1110504, "dataset_size": 984969}]}
TAGS
#task_categories-text-classification #task_ids-acceptability-classification #task_ids-natural-language-inference #annotations_creators-crowdsourced #annotations_creators-expert-generated #annotations_creators-machine-generated #size_categories-10K<n<100K #source_datasets-ccl #language-Chinese #license-cc-by-nc-sa-4.0 #region-us 


# Dataset Card for SpaCE2021

## Dataset Description

- Homepage: URL
- Repository: URL
- 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: URL
- Point of Contact: sc_eval@URL

### 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



### Languages

Chinese

## Dataset Structure

### Data Instances



### Data Fields



### Data Splits



## Dataset Creation

### Curation Rationale



### Source Data

#### Initial Data Collection and Normalization



#### Who are the source language producers?



### Annotations

#### Annotation process



#### Who are the annotators?



### Personal and Sensitive Information



## Considerations for Using the Data

### Social Impact of Dataset



### Discussion of Biases



### Other Known Limitations



## Additional Information

### Dataset Curators



### Licensing Information







### Contributions


# Dataset Card for SpaCE2021 ## Dataset Description

- Homepage: URL
- Repository: URL
- 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: URL
- Point of Contact: sc_eval@URL ### 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 ### Languages

Chinese ## Dataset Structure ### Data Instances ### Data Fields ### Data Splits ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing Information ### Contributions
TAGS
#task_categories-text-classification #task_ids-acceptability-classification #task_ids-natural-language-inference #annotations_creators-crowdsourced #annotations_creators-expert-generated #annotations_creators-machine-generated #size_categories-10K<n<100K #source_datasets-ccl #language-Chinese #license-cc-by-nc-sa-4.0 #region-us 
 # Dataset Card for SpaCE2021 ## Dataset Description

- Homepage: URL
- Repository: URL
- 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: URL
- Point of Contact: sc_eval@URL ### 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 ### Languages

Chinese ## Dataset Structure ### Data Instances ### Data Fields ### Data Splits ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing Information ### Contributions