File size: 3,505 Bytes
30870fe
f59c399
 
 
 
02426c5
701279f
02426c5
701279f
 
f59c399
 
 
 
f798219
 
 
 
 
 
93c386e
 
 
 
 
 
 
 
 
 
 
c49ae65
 
93c386e
c49ae65
 
93c386e
c49ae65
 
93c386e
c49ae65
93c386e
 
 
 
 
 
 
 
 
 
 
 
c49ae65
 
93c386e
c49ae65
 
93c386e
c49ae65
 
93c386e
c49ae65
93c386e
 
 
 
 
 
 
 
 
 
 
 
 
 
c49ae65
 
93c386e
c49ae65
 
93c386e
c49ae65
30870fe
 
f59c399
30870fe
 
 
f59c399
 
9d3d0c9
f59c399
34346df
30870fe
 
 
 
 
 
 
 
 
 
 
f59c399
30870fe
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
---
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
    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
---

# 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]