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Datasets:
Divyanshu
/
IE_SemParse

Tasks:
Text2Text Generation
Modalities:
Text
Sub-tasks:
parsing
Languages:
Assamese
Bengali
Gujarati
Size:
10K - 100K
ArXiv:
Libraries:
Datasets
License:
Dataset card Viewer Files Community
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.history/README_20230707234415.md ADDED
@@ -0,0 +1,214 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ annotations_creators:
3
+ - machine-generated
4
+ language_creators:
5
+ - machine-generated
6
+ language:
7
+ - as
8
+ - bn
9
+ - gu
10
+ - hi
11
+ - kn
12
+ - ml
13
+ - mr
14
+ - or
15
+ - pa
16
+ - ta
17
+ - te
18
+ license:
19
+ - cc0-1.0
20
+ multilinguality:
21
+ - multilingual
22
+ pretty_name: IE-SemParse
23
+ size_categories:
24
+ - 1M<n<10M
25
+ source_datasets:
26
+ - original
27
+ task_categories:
28
+ - text2text-generation
29
+ task_ids:
30
+ - parsing
31
+ ---
32
+
33
+ # Dataset Card for "IE-SemParse"
34
+
35
+ ## Table of Contents
36
+
37
+ - [Dataset Card for "IE-SemParse"](#dataset-card-for-ie-semparse)
38
+ - [Table of Contents](#table-of-contents)
39
+ - [Dataset Description](#dataset-description)
40
+ - [Dataset Summary](#dataset-summary)
41
+ - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
42
+ - [Languages](#languages)
43
+ - [Data Splits](#data-splits)
44
+ - [Dataset usage](#dataset-usage)
45
+ - [Dataset Creation](#dataset-creation)
46
+ - [Curation Rationale](#curation-rationale)
47
+ - [Source Data](#source-data)
48
+ - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
49
+ - [Who are the source language producers?](#who-are-the-source-language-producers)
50
+ - [Human Verification Process](#human-verification-process)
51
+ - [Considerations for Using the Data](#considerations-for-using-the-data)
52
+ - [Social Impact of Dataset](#social-impact-of-dataset)
53
+ - [Discussion of Biases](#discussion-of-biases)
54
+ - [Other Known Limitations](#other-known-limitations)
55
+ - [Dataset Curators](#dataset-curators)
56
+ - [Licensing Information](#licensing-information)
57
+ - [Citation Information](#citation-information)
58
+
59
+ ## Dataset Description
60
+
61
+ - **Homepage:** <https://github.com/divyanshuaggarwal/IE-SemParse>
62
+ - **Paper:** [Evaluating Inter-Bilingual Semantic Parsing for Indian Languages](https://arxiv.org/abs/2304.13005)
63
+ - **Point of Contact:** [Divyanshu Aggarwal](mailto:[email protected])
64
+
65
+ ### Dataset Summary
66
+
67
+ IE-SemParse is an InterBilingual Semantic Parsing Dataset for eleven major Indic languages that includes
68
+ Assamese (‘as’), Gujarat (‘gu’), Kannada (‘kn’),
69
+ Malayalam (‘ml’), Marathi (‘mr’), Odia (‘or’),
70
+ Punjabi (‘pa’), Tamil (‘ta’), Telugu (‘te’), Hindi
71
+ (‘hi’), and Bengali (‘bn’).
72
+
73
+ ### Supported Tasks and Leaderboards
74
+
75
+ **Tasks:** Natural Language Inference
76
+
77
+ **Leaderboards:** Currently there is no Leaderboard for this dataset.
78
+
79
+ ### Languages
80
+
81
+ - `Assamese (as)`
82
+ - `Bengali (bn)`
83
+ - `Gujarati (gu)`
84
+ - `Kannada (kn)`
85
+ - `Hindi (hi)`
86
+ - `Malayalam (ml)`
87
+ - `Marathi (mr)`
88
+ - `Oriya (or)`
89
+ - `Punjabi (pa)`
90
+ - `Tamil (ta)`
91
+ - `Telugu (te)`
92
+
93
+ ...
94
+
95
+
96
+ ### Data Splits
97
+
98
+ <!-- Below is the dataset split given for `hi` dataset.
99
+
100
+ ```python
101
+ DatasetDict({
102
+ train: Dataset({
103
+ features: ['utterance', 'logical form', 'intent'],
104
+ num_rows: 36000
105
+ })
106
+ test: Dataset({
107
+ features: ['utterance', 'logical form', 'intent'],
108
+ num_rows: 3000
109
+ })
110
+ validation: Dataset({
111
+ features: ['utterance', 'logical form', 'intent'],
112
+ num_rows: 1500
113
+ })
114
+ })
115
+
116
+ ``` -->
117
+
118
+ Language | ISO 639-1 Code |Train | Dev | Test |
119
+ --------------|----------------|-------|-----|------|
120
+ Assamese | as | 392,702 | 5,010 | 2,490 |
121
+ Bengali | bn | 392,702 | 5,010 | 2,490 |
122
+ Gujarati | gu | 392,702 | 5,010 | 2,490 |
123
+ Hindi | hi | 392,702 | 5,010 | 2,490 |
124
+ Kannada | kn | 392,702 | 5,010 | 2,490 |
125
+ Malayalam | ml |392,702 | 5,010 | 2,490 |
126
+ Marathi | mr |392,702 | 5,010 | 2,490 |
127
+ Oriya | or | 392,702 | 5,010 | 2,490 |
128
+ Punjabi | pa | 392,702 | 5,010 | 2,490 |
129
+ Tamil | ta | 392,702 | 5,010 | 2,490 |
130
+ Telugu | te | 392,702 | 5,010 | 2,490 |
131
+
132
+ <!-- The dataset split remains same across all languages. -->
133
+
134
+ ## Dataset usage
135
+
136
+ Code snippet for using the dataset using datasets library.
137
+
138
+ ```python
139
+ from datasets import load_dataset
140
+
141
+ dataset = load_dataset("Divyanshu/indicxnli")
142
+ ```
143
+
144
+ ## Dataset Creation
145
+
146
+ Machine translation of XNLI english dataset to 11 listed Indic Languages.
147
+
148
+ ### Curation Rationale
149
+
150
+ [More information needed]
151
+
152
+ ### Source Data
153
+
154
+ [mTOP dataset](https://cims.nyu.edu/~sbowman/xnli/)
155
+
156
+ #### Initial Data Collection and Normalization
157
+
158
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
159
+
160
+ #### Who are the source language producers?
161
+
162
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
163
+
164
+ #### Human Verification Process
165
+
166
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
167
+
168
+ ## Considerations for Using the Data
169
+
170
+ ### Social Impact of Dataset
171
+
172
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
173
+
174
+ ### Discussion of Biases
175
+
176
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
177
+
178
+ ### Other Known Limitations
179
+
180
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
181
+
182
+ ### Dataset Curators
183
+
184
+ Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan
185
+
186
+ ### Licensing Information
187
+
188
+ Contents of this repository are restricted to only non-commercial research purposes under the [Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)](https://creativecommons.org/licenses/by-nc/4.0/). Copyright of the dataset contents belongs to the original copyright holders.
189
+
190
+ ### Citation Information
191
+
192
+ If you use any of the datasets, models or code modules, please cite the following paper:
193
+
194
+ ```
195
+ @misc{https://doi.org/10.48550/arxiv.2204.08776,
196
+ doi = {10.48550/ARXIV.2204.08776},
197
+
198
+ url = {https://arxiv.org/abs/2304.13005},
199
+
200
+ author = {Aggarwal, Divyanshu and Gupta, Vivek and Kunchukuttan, Anoop},
201
+
202
+ keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
203
+
204
+ title = {IE-SemParse: Evaluating Multilingual Inference for Indian Languages},
205
+
206
+ publisher = {arXiv},
207
+
208
+ year = {2022},
209
+
210
+ copyright = {Creative Commons Attribution 4.0 International}
211
+ }
212
+ ```
213
+
214
+ <!-- ### Contributions -->
.history/README_20230707234420.md ADDED
@@ -0,0 +1,215 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ annotations_creators:
3
+ - machine-generated
4
+ language_creators:
5
+ - machine-generated
6
+ language:
7
+ - as
8
+ - bn
9
+ - gu
10
+ - hi
11
+ - kn
12
+ - ml
13
+ - mr
14
+ - or
15
+ - pa
16
+ - ta
17
+ - te
18
+ license:
19
+ - cc0-1.0
20
+ multilinguality:
21
+ - multilingual
22
+ pretty_name: IE-SemParse
23
+ size_categories:
24
+ - 1M<n<10M
25
+ source_datasets:
26
+ - original
27
+ task_categories:
28
+ - text2text-generation
29
+ task_ids:
30
+ - parsing
31
+ ---
32
+
33
+ # Dataset Card for "IE-SemParse"
34
+
35
+ ## Table of Contents
36
+
37
+ - [Dataset Card for "IE-SemParse"](#dataset-card-for-ie-semparse)
38
+ - [Table of Contents](#table-of-contents)
39
+ - [Dataset Description](#dataset-description)
40
+ - [Dataset Summary](#dataset-summary)
41
+ - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
42
+ - [Languages](#languages)
43
+ - [Data Splits](#data-splits)
44
+ - [Dataset usage](#dataset-usage)
45
+ - [Dataset Creation](#dataset-creation)
46
+ - [Curation Rationale](#curation-rationale)
47
+ - [Source Data](#source-data)
48
+ - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
49
+ - [Who are the source language producers?](#who-are-the-source-language-producers)
50
+ - [Human Verification Process](#human-verification-process)
51
+ - [Considerations for Using the Data](#considerations-for-using-the-data)
52
+ - [Social Impact of Dataset](#social-impact-of-dataset)
53
+ - [Discussion of Biases](#discussion-of-biases)
54
+ - [Other Known Limitations](#other-known-limitations)
55
+ - [Dataset Curators](#dataset-curators)
56
+ - [Licensing Information](#licensing-information)
57
+ - [Citation Information](#citation-information)
58
+
59
+ ## Dataset Description
60
+
61
+ - **Homepage:** <https://github.com/divyanshuaggarwal/IE-SemParse>
62
+ - **Paper:** [Evaluating Inter-Bilingual Semantic Parsing for Indian Languages](https://arxiv.org/abs/2304.13005)
63
+ - **Point of Contact:** [Divyanshu Aggarwal](mailto:[email protected])
64
+
65
+ ### Dataset Summary
66
+
67
+ IE-SemParse is an InterBilingual Semantic Parsing Dataset for eleven major Indic languages that includes
68
+ Assamese (‘as’), Gujarat (‘gu’), Kannada (‘kn’),
69
+ Malayalam (‘ml’), Marathi (‘mr’), Odia (‘or’),
70
+ Punjabi (‘pa’), Tamil (‘ta’), Telugu (‘te’), Hindi
71
+ (‘hi’), and Bengali (‘bn’).
72
+
73
+ ### Supported Tasks and Leaderboards
74
+
75
+ **Tasks:** Natural Language Inference
76
+
77
+ **Leaderboards:** Currently there is no Leaderboard for this dataset.
78
+
79
+ ### Languages
80
+
81
+ - `Assamese (as)`
82
+ - `Bengali (bn)`
83
+ - `Gujarati (gu)`
84
+ - `Kannada (kn)`
85
+ - `Hindi (hi)`
86
+ - `Malayalam (ml)`
87
+ - `Marathi (mr)`
88
+ - `Oriya (or)`
89
+ - `Punjabi (pa)`
90
+ - `Tamil (ta)`
91
+ - `Telugu (te)`
92
+
93
+ ...
94
+
95
+
96
+ ### Data Splits
97
+
98
+ <!-- Below is the dataset split given for `hi` dataset.
99
+
100
+ ```python
101
+ DatasetDict({
102
+ train: Dataset({
103
+ features: ['utterance', 'logical form', 'intent'],
104
+ num_rows: 36000
105
+ })
106
+ test: Dataset({
107
+ features: ['utterance', 'logical form', 'intent'],
108
+ num_rows: 3000
109
+ })
110
+ validation: Dataset({
111
+ features: ['utterance', 'logical form', 'intent'],
112
+ num_rows: 1500
113
+ })
114
+ })
115
+
116
+ ``` -->
117
+
118
+ Language | ISO 639-1 Code |Train | Dev | Test |
119
+ --------------|----------------|-------|-----|------|
120
+ Assamese | as | 392,702 | 5,010 | 2,490 |
121
+ Bengali | bn | 392,702 | 5,010 | 2,490 |
122
+ Gujarati | gu | 392,702 | 5,010 | 2,490 |
123
+ Hindi | hi | 392,702 | 5,010 | 2,490 |
124
+ Kannada | kn | 392,702 | 5,010 | 2,490 |
125
+ Malayalam | ml |392,702 | 5,010 | 2,490 |
126
+ Marathi | mr |392,702 | 5,010 | 2,490 |
127
+ Oriya | or | 392,702 | 5,010 | 2,490 |
128
+ Punjabi | pa | 392,702 | 5,010 | 2,490 |
129
+ Tamil | ta | 392,702 | 5,010 | 2,490 |
130
+ Telugu | te | 392,702 | 5,010 | 2,490 |
131
+
132
+ <!-- The dataset split remains same across all languages. -->
133
+
134
+ ## Dataset usage
135
+
136
+ Code snippet for using the dataset using datasets library.
137
+
138
+ ```python
139
+ from datasets import load_dataset
140
+
141
+ dataset = load_dataset("Divyanshu/indicxnli")
142
+ ```
143
+
144
+ ## Dataset Creation
145
+
146
+ Machine translation of XNLI english dataset to 11 listed Indic Languages.
147
+
148
+ ### Curation Rationale
149
+
150
+ [More information needed]
151
+
152
+ ### Source Data
153
+
154
+ [mTOP dataset]()
155
+
156
+
157
+ #### Initial Data Collection and Normalization
158
+
159
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
160
+
161
+ #### Who are the source language producers?
162
+
163
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
164
+
165
+ #### Human Verification Process
166
+
167
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
168
+
169
+ ## Considerations for Using the Data
170
+
171
+ ### Social Impact of Dataset
172
+
173
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
174
+
175
+ ### Discussion of Biases
176
+
177
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
178
+
179
+ ### Other Known Limitations
180
+
181
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
182
+
183
+ ### Dataset Curators
184
+
185
+ Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan
186
+
187
+ ### Licensing Information
188
+
189
+ Contents of this repository are restricted to only non-commercial research purposes under the [Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)](https://creativecommons.org/licenses/by-nc/4.0/). Copyright of the dataset contents belongs to the original copyright holders.
190
+
191
+ ### Citation Information
192
+
193
+ If you use any of the datasets, models or code modules, please cite the following paper:
194
+
195
+ ```
196
+ @misc{https://doi.org/10.48550/arxiv.2204.08776,
197
+ doi = {10.48550/ARXIV.2204.08776},
198
+
199
+ url = {https://arxiv.org/abs/2304.13005},
200
+
201
+ author = {Aggarwal, Divyanshu and Gupta, Vivek and Kunchukuttan, Anoop},
202
+
203
+ keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
204
+
205
+ title = {IE-SemParse: Evaluating Multilingual Inference for Indian Languages},
206
+
207
+ publisher = {arXiv},
208
+
209
+ year = {2022},
210
+
211
+ copyright = {Creative Commons Attribution 4.0 International}
212
+ }
213
+ ```
214
+
215
+ <!-- ### Contributions -->
.history/README_20230707234421.md ADDED
@@ -0,0 +1,215 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ annotations_creators:
3
+ - machine-generated
4
+ language_creators:
5
+ - machine-generated
6
+ language:
7
+ - as
8
+ - bn
9
+ - gu
10
+ - hi
11
+ - kn
12
+ - ml
13
+ - mr
14
+ - or
15
+ - pa
16
+ - ta
17
+ - te
18
+ license:
19
+ - cc0-1.0
20
+ multilinguality:
21
+ - multilingual
22
+ pretty_name: IE-SemParse
23
+ size_categories:
24
+ - 1M<n<10M
25
+ source_datasets:
26
+ - original
27
+ task_categories:
28
+ - text2text-generation
29
+ task_ids:
30
+ - parsing
31
+ ---
32
+
33
+ # Dataset Card for "IE-SemParse"
34
+
35
+ ## Table of Contents
36
+
37
+ - [Dataset Card for "IE-SemParse"](#dataset-card-for-ie-semparse)
38
+ - [Table of Contents](#table-of-contents)
39
+ - [Dataset Description](#dataset-description)
40
+ - [Dataset Summary](#dataset-summary)
41
+ - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
42
+ - [Languages](#languages)
43
+ - [Data Splits](#data-splits)
44
+ - [Dataset usage](#dataset-usage)
45
+ - [Dataset Creation](#dataset-creation)
46
+ - [Curation Rationale](#curation-rationale)
47
+ - [Source Data](#source-data)
48
+ - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
49
+ - [Who are the source language producers?](#who-are-the-source-language-producers)
50
+ - [Human Verification Process](#human-verification-process)
51
+ - [Considerations for Using the Data](#considerations-for-using-the-data)
52
+ - [Social Impact of Dataset](#social-impact-of-dataset)
53
+ - [Discussion of Biases](#discussion-of-biases)
54
+ - [Other Known Limitations](#other-known-limitations)
55
+ - [Dataset Curators](#dataset-curators)
56
+ - [Licensing Information](#licensing-information)
57
+ - [Citation Information](#citation-information)
58
+
59
+ ## Dataset Description
60
+
61
+ - **Homepage:** <https://github.com/divyanshuaggarwal/IE-SemParse>
62
+ - **Paper:** [Evaluating Inter-Bilingual Semantic Parsing for Indian Languages](https://arxiv.org/abs/2304.13005)
63
+ - **Point of Contact:** [Divyanshu Aggarwal](mailto:[email protected])
64
+
65
+ ### Dataset Summary
66
+
67
+ IE-SemParse is an InterBilingual Semantic Parsing Dataset for eleven major Indic languages that includes
68
+ Assamese (‘as’), Gujarat (‘gu’), Kannada (‘kn’),
69
+ Malayalam (‘ml’), Marathi (‘mr’), Odia (‘or’),
70
+ Punjabi (‘pa’), Tamil (‘ta’), Telugu (‘te’), Hindi
71
+ (‘hi’), and Bengali (‘bn’).
72
+
73
+ ### Supported Tasks and Leaderboards
74
+
75
+ **Tasks:** Natural Language Inference
76
+
77
+ **Leaderboards:** Currently there is no Leaderboard for this dataset.
78
+
79
+ ### Languages
80
+
81
+ - `Assamese (as)`
82
+ - `Bengali (bn)`
83
+ - `Gujarati (gu)`
84
+ - `Kannada (kn)`
85
+ - `Hindi (hi)`
86
+ - `Malayalam (ml)`
87
+ - `Marathi (mr)`
88
+ - `Oriya (or)`
89
+ - `Punjabi (pa)`
90
+ - `Tamil (ta)`
91
+ - `Telugu (te)`
92
+
93
+ ...
94
+
95
+
96
+ ### Data Splits
97
+
98
+ <!-- Below is the dataset split given for `hi` dataset.
99
+
100
+ ```python
101
+ DatasetDict({
102
+ train: Dataset({
103
+ features: ['utterance', 'logical form', 'intent'],
104
+ num_rows: 36000
105
+ })
106
+ test: Dataset({
107
+ features: ['utterance', 'logical form', 'intent'],
108
+ num_rows: 3000
109
+ })
110
+ validation: Dataset({
111
+ features: ['utterance', 'logical form', 'intent'],
112
+ num_rows: 1500
113
+ })
114
+ })
115
+
116
+ ``` -->
117
+
118
+ Language | ISO 639-1 Code |Train | Dev | Test |
119
+ --------------|----------------|-------|-----|------|
120
+ Assamese | as | 392,702 | 5,010 | 2,490 |
121
+ Bengali | bn | 392,702 | 5,010 | 2,490 |
122
+ Gujarati | gu | 392,702 | 5,010 | 2,490 |
123
+ Hindi | hi | 392,702 | 5,010 | 2,490 |
124
+ Kannada | kn | 392,702 | 5,010 | 2,490 |
125
+ Malayalam | ml |392,702 | 5,010 | 2,490 |
126
+ Marathi | mr |392,702 | 5,010 | 2,490 |
127
+ Oriya | or | 392,702 | 5,010 | 2,490 |
128
+ Punjabi | pa | 392,702 | 5,010 | 2,490 |
129
+ Tamil | ta | 392,702 | 5,010 | 2,490 |
130
+ Telugu | te | 392,702 | 5,010 | 2,490 |
131
+
132
+ <!-- The dataset split remains same across all languages. -->
133
+
134
+ ## Dataset usage
135
+
136
+ Code snippet for using the dataset using datasets library.
137
+
138
+ ```python
139
+ from datasets import load_dataset
140
+
141
+ dataset = load_dataset("Divyanshu/indicxnli")
142
+ ```
143
+
144
+ ## Dataset Creation
145
+
146
+ Machine translation of XNLI english dataset to 11 listed Indic Languages.
147
+
148
+ ### Curation Rationale
149
+
150
+ [More information needed]
151
+
152
+ ### Source Data
153
+
154
+ [mTOP dataset]()
155
+ []
156
+
157
+ #### Initial Data Collection and Normalization
158
+
159
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
160
+
161
+ #### Who are the source language producers?
162
+
163
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
164
+
165
+ #### Human Verification Process
166
+
167
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
168
+
169
+ ## Considerations for Using the Data
170
+
171
+ ### Social Impact of Dataset
172
+
173
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
174
+
175
+ ### Discussion of Biases
176
+
177
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
178
+
179
+ ### Other Known Limitations
180
+
181
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
182
+
183
+ ### Dataset Curators
184
+
185
+ Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan
186
+
187
+ ### Licensing Information
188
+
189
+ Contents of this repository are restricted to only non-commercial research purposes under the [Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)](https://creativecommons.org/licenses/by-nc/4.0/). Copyright of the dataset contents belongs to the original copyright holders.
190
+
191
+ ### Citation Information
192
+
193
+ If you use any of the datasets, models or code modules, please cite the following paper:
194
+
195
+ ```
196
+ @misc{https://doi.org/10.48550/arxiv.2204.08776,
197
+ doi = {10.48550/ARXIV.2204.08776},
198
+
199
+ url = {https://arxiv.org/abs/2304.13005},
200
+
201
+ author = {Aggarwal, Divyanshu and Gupta, Vivek and Kunchukuttan, Anoop},
202
+
203
+ keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
204
+
205
+ title = {IE-SemParse: Evaluating Multilingual Inference for Indian Languages},
206
+
207
+ publisher = {arXiv},
208
+
209
+ year = {2022},
210
+
211
+ copyright = {Creative Commons Attribution 4.0 International}
212
+ }
213
+ ```
214
+
215
+ <!-- ### Contributions -->
.history/README_20230707234423.md ADDED
@@ -0,0 +1,215 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ annotations_creators:
3
+ - machine-generated
4
+ language_creators:
5
+ - machine-generated
6
+ language:
7
+ - as
8
+ - bn
9
+ - gu
10
+ - hi
11
+ - kn
12
+ - ml
13
+ - mr
14
+ - or
15
+ - pa
16
+ - ta
17
+ - te
18
+ license:
19
+ - cc0-1.0
20
+ multilinguality:
21
+ - multilingual
22
+ pretty_name: IE-SemParse
23
+ size_categories:
24
+ - 1M<n<10M
25
+ source_datasets:
26
+ - original
27
+ task_categories:
28
+ - text2text-generation
29
+ task_ids:
30
+ - parsing
31
+ ---
32
+
33
+ # Dataset Card for "IE-SemParse"
34
+
35
+ ## Table of Contents
36
+
37
+ - [Dataset Card for "IE-SemParse"](#dataset-card-for-ie-semparse)
38
+ - [Table of Contents](#table-of-contents)
39
+ - [Dataset Description](#dataset-description)
40
+ - [Dataset Summary](#dataset-summary)
41
+ - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
42
+ - [Languages](#languages)
43
+ - [Data Splits](#data-splits)
44
+ - [Dataset usage](#dataset-usage)
45
+ - [Dataset Creation](#dataset-creation)
46
+ - [Curation Rationale](#curation-rationale)
47
+ - [Source Data](#source-data)
48
+ - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
49
+ - [Who are the source language producers?](#who-are-the-source-language-producers)
50
+ - [Human Verification Process](#human-verification-process)
51
+ - [Considerations for Using the Data](#considerations-for-using-the-data)
52
+ - [Social Impact of Dataset](#social-impact-of-dataset)
53
+ - [Discussion of Biases](#discussion-of-biases)
54
+ - [Other Known Limitations](#other-known-limitations)
55
+ - [Dataset Curators](#dataset-curators)
56
+ - [Licensing Information](#licensing-information)
57
+ - [Citation Information](#citation-information)
58
+
59
+ ## Dataset Description
60
+
61
+ - **Homepage:** <https://github.com/divyanshuaggarwal/IE-SemParse>
62
+ - **Paper:** [Evaluating Inter-Bilingual Semantic Parsing for Indian Languages](https://arxiv.org/abs/2304.13005)
63
+ - **Point of Contact:** [Divyanshu Aggarwal](mailto:[email protected])
64
+
65
+ ### Dataset Summary
66
+
67
+ IE-SemParse is an InterBilingual Semantic Parsing Dataset for eleven major Indic languages that includes
68
+ Assamese (‘as’), Gujarat (‘gu’), Kannada (‘kn’),
69
+ Malayalam (‘ml’), Marathi (‘mr’), Odia (‘or’),
70
+ Punjabi (‘pa’), Tamil (‘ta’), Telugu (‘te’), Hindi
71
+ (‘hi’), and Bengali (‘bn’).
72
+
73
+ ### Supported Tasks and Leaderboards
74
+
75
+ **Tasks:** Natural Language Inference
76
+
77
+ **Leaderboards:** Currently there is no Leaderboard for this dataset.
78
+
79
+ ### Languages
80
+
81
+ - `Assamese (as)`
82
+ - `Bengali (bn)`
83
+ - `Gujarati (gu)`
84
+ - `Kannada (kn)`
85
+ - `Hindi (hi)`
86
+ - `Malayalam (ml)`
87
+ - `Marathi (mr)`
88
+ - `Oriya (or)`
89
+ - `Punjabi (pa)`
90
+ - `Tamil (ta)`
91
+ - `Telugu (te)`
92
+
93
+ ...
94
+
95
+
96
+ ### Data Splits
97
+
98
+ <!-- Below is the dataset split given for `hi` dataset.
99
+
100
+ ```python
101
+ DatasetDict({
102
+ train: Dataset({
103
+ features: ['utterance', 'logical form', 'intent'],
104
+ num_rows: 36000
105
+ })
106
+ test: Dataset({
107
+ features: ['utterance', 'logical form', 'intent'],
108
+ num_rows: 3000
109
+ })
110
+ validation: Dataset({
111
+ features: ['utterance', 'logical form', 'intent'],
112
+ num_rows: 1500
113
+ })
114
+ })
115
+
116
+ ``` -->
117
+
118
+ Language | ISO 639-1 Code |Train | Dev | Test |
119
+ --------------|----------------|-------|-----|------|
120
+ Assamese | as | 392,702 | 5,010 | 2,490 |
121
+ Bengali | bn | 392,702 | 5,010 | 2,490 |
122
+ Gujarati | gu | 392,702 | 5,010 | 2,490 |
123
+ Hindi | hi | 392,702 | 5,010 | 2,490 |
124
+ Kannada | kn | 392,702 | 5,010 | 2,490 |
125
+ Malayalam | ml |392,702 | 5,010 | 2,490 |
126
+ Marathi | mr |392,702 | 5,010 | 2,490 |
127
+ Oriya | or | 392,702 | 5,010 | 2,490 |
128
+ Punjabi | pa | 392,702 | 5,010 | 2,490 |
129
+ Tamil | ta | 392,702 | 5,010 | 2,490 |
130
+ Telugu | te | 392,702 | 5,010 | 2,490 |
131
+
132
+ <!-- The dataset split remains same across all languages. -->
133
+
134
+ ## Dataset usage
135
+
136
+ Code snippet for using the dataset using datasets library.
137
+
138
+ ```python
139
+ from datasets import load_dataset
140
+
141
+ dataset = load_dataset("Divyanshu/indicxnli")
142
+ ```
143
+
144
+ ## Dataset Creation
145
+
146
+ Machine translation of XNLI english dataset to 11 listed Indic Languages.
147
+
148
+ ### Curation Rationale
149
+
150
+ [More information needed]
151
+
152
+ ### Source Data
153
+
154
+ [mTOP dataset]()
155
+ [multi]
156
+
157
+ #### Initial Data Collection and Normalization
158
+
159
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
160
+
161
+ #### Who are the source language producers?
162
+
163
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
164
+
165
+ #### Human Verification Process
166
+
167
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
168
+
169
+ ## Considerations for Using the Data
170
+
171
+ ### Social Impact of Dataset
172
+
173
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
174
+
175
+ ### Discussion of Biases
176
+
177
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
178
+
179
+ ### Other Known Limitations
180
+
181
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
182
+
183
+ ### Dataset Curators
184
+
185
+ Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan
186
+
187
+ ### Licensing Information
188
+
189
+ Contents of this repository are restricted to only non-commercial research purposes under the [Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)](https://creativecommons.org/licenses/by-nc/4.0/). Copyright of the dataset contents belongs to the original copyright holders.
190
+
191
+ ### Citation Information
192
+
193
+ If you use any of the datasets, models or code modules, please cite the following paper:
194
+
195
+ ```
196
+ @misc{https://doi.org/10.48550/arxiv.2204.08776,
197
+ doi = {10.48550/ARXIV.2204.08776},
198
+
199
+ url = {https://arxiv.org/abs/2304.13005},
200
+
201
+ author = {Aggarwal, Divyanshu and Gupta, Vivek and Kunchukuttan, Anoop},
202
+
203
+ keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
204
+
205
+ title = {IE-SemParse: Evaluating Multilingual Inference for Indian Languages},
206
+
207
+ publisher = {arXiv},
208
+
209
+ year = {2022},
210
+
211
+ copyright = {Creative Commons Attribution 4.0 International}
212
+ }
213
+ ```
214
+
215
+ <!-- ### Contributions -->
.history/README_20230707234427.md ADDED
@@ -0,0 +1,215 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ annotations_creators:
3
+ - machine-generated
4
+ language_creators:
5
+ - machine-generated
6
+ language:
7
+ - as
8
+ - bn
9
+ - gu
10
+ - hi
11
+ - kn
12
+ - ml
13
+ - mr
14
+ - or
15
+ - pa
16
+ - ta
17
+ - te
18
+ license:
19
+ - cc0-1.0
20
+ multilinguality:
21
+ - multilingual
22
+ pretty_name: IE-SemParse
23
+ size_categories:
24
+ - 1M<n<10M
25
+ source_datasets:
26
+ - original
27
+ task_categories:
28
+ - text2text-generation
29
+ task_ids:
30
+ - parsing
31
+ ---
32
+
33
+ # Dataset Card for "IE-SemParse"
34
+
35
+ ## Table of Contents
36
+
37
+ - [Dataset Card for "IE-SemParse"](#dataset-card-for-ie-semparse)
38
+ - [Table of Contents](#table-of-contents)
39
+ - [Dataset Description](#dataset-description)
40
+ - [Dataset Summary](#dataset-summary)
41
+ - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
42
+ - [Languages](#languages)
43
+ - [Data Splits](#data-splits)
44
+ - [Dataset usage](#dataset-usage)
45
+ - [Dataset Creation](#dataset-creation)
46
+ - [Curation Rationale](#curation-rationale)
47
+ - [Source Data](#source-data)
48
+ - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
49
+ - [Who are the source language producers?](#who-are-the-source-language-producers)
50
+ - [Human Verification Process](#human-verification-process)
51
+ - [Considerations for Using the Data](#considerations-for-using-the-data)
52
+ - [Social Impact of Dataset](#social-impact-of-dataset)
53
+ - [Discussion of Biases](#discussion-of-biases)
54
+ - [Other Known Limitations](#other-known-limitations)
55
+ - [Dataset Curators](#dataset-curators)
56
+ - [Licensing Information](#licensing-information)
57
+ - [Citation Information](#citation-information)
58
+
59
+ ## Dataset Description
60
+
61
+ - **Homepage:** <https://github.com/divyanshuaggarwal/IE-SemParse>
62
+ - **Paper:** [Evaluating Inter-Bilingual Semantic Parsing for Indian Languages](https://arxiv.org/abs/2304.13005)
63
+ - **Point of Contact:** [Divyanshu Aggarwal](mailto:[email protected])
64
+
65
+ ### Dataset Summary
66
+
67
+ IE-SemParse is an InterBilingual Semantic Parsing Dataset for eleven major Indic languages that includes
68
+ Assamese (‘as’), Gujarat (‘gu’), Kannada (‘kn’),
69
+ Malayalam (‘ml’), Marathi (‘mr’), Odia (‘or’),
70
+ Punjabi (‘pa’), Tamil (‘ta’), Telugu (‘te’), Hindi
71
+ (‘hi’), and Bengali (‘bn’).
72
+
73
+ ### Supported Tasks and Leaderboards
74
+
75
+ **Tasks:** Natural Language Inference
76
+
77
+ **Leaderboards:** Currently there is no Leaderboard for this dataset.
78
+
79
+ ### Languages
80
+
81
+ - `Assamese (as)`
82
+ - `Bengali (bn)`
83
+ - `Gujarati (gu)`
84
+ - `Kannada (kn)`
85
+ - `Hindi (hi)`
86
+ - `Malayalam (ml)`
87
+ - `Marathi (mr)`
88
+ - `Oriya (or)`
89
+ - `Punjabi (pa)`
90
+ - `Tamil (ta)`
91
+ - `Telugu (te)`
92
+
93
+ ...
94
+
95
+
96
+ ### Data Splits
97
+
98
+ <!-- Below is the dataset split given for `hi` dataset.
99
+
100
+ ```python
101
+ DatasetDict({
102
+ train: Dataset({
103
+ features: ['utterance', 'logical form', 'intent'],
104
+ num_rows: 36000
105
+ })
106
+ test: Dataset({
107
+ features: ['utterance', 'logical form', 'intent'],
108
+ num_rows: 3000
109
+ })
110
+ validation: Dataset({
111
+ features: ['utterance', 'logical form', 'intent'],
112
+ num_rows: 1500
113
+ })
114
+ })
115
+
116
+ ``` -->
117
+
118
+ Language | ISO 639-1 Code |Train | Dev | Test |
119
+ --------------|----------------|-------|-----|------|
120
+ Assamese | as | 392,702 | 5,010 | 2,490 |
121
+ Bengali | bn | 392,702 | 5,010 | 2,490 |
122
+ Gujarati | gu | 392,702 | 5,010 | 2,490 |
123
+ Hindi | hi | 392,702 | 5,010 | 2,490 |
124
+ Kannada | kn | 392,702 | 5,010 | 2,490 |
125
+ Malayalam | ml |392,702 | 5,010 | 2,490 |
126
+ Marathi | mr |392,702 | 5,010 | 2,490 |
127
+ Oriya | or | 392,702 | 5,010 | 2,490 |
128
+ Punjabi | pa | 392,702 | 5,010 | 2,490 |
129
+ Tamil | ta | 392,702 | 5,010 | 2,490 |
130
+ Telugu | te | 392,702 | 5,010 | 2,490 |
131
+
132
+ <!-- The dataset split remains same across all languages. -->
133
+
134
+ ## Dataset usage
135
+
136
+ Code snippet for using the dataset using datasets library.
137
+
138
+ ```python
139
+ from datasets import load_dataset
140
+
141
+ dataset = load_dataset("Divyanshu/indicxnli")
142
+ ```
143
+
144
+ ## Dataset Creation
145
+
146
+ Machine translation of XNLI english dataset to 11 listed Indic Languages.
147
+
148
+ ### Curation Rationale
149
+
150
+ [More information needed]
151
+
152
+ ### Source Data
153
+
154
+ [mTOP dataset]()
155
+ [multili]
156
+
157
+ #### Initial Data Collection and Normalization
158
+
159
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
160
+
161
+ #### Who are the source language producers?
162
+
163
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
164
+
165
+ #### Human Verification Process
166
+
167
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
168
+
169
+ ## Considerations for Using the Data
170
+
171
+ ### Social Impact of Dataset
172
+
173
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
174
+
175
+ ### Discussion of Biases
176
+
177
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
178
+
179
+ ### Other Known Limitations
180
+
181
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
182
+
183
+ ### Dataset Curators
184
+
185
+ Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan
186
+
187
+ ### Licensing Information
188
+
189
+ Contents of this repository are restricted to only non-commercial research purposes under the [Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)](https://creativecommons.org/licenses/by-nc/4.0/). Copyright of the dataset contents belongs to the original copyright holders.
190
+
191
+ ### Citation Information
192
+
193
+ If you use any of the datasets, models or code modules, please cite the following paper:
194
+
195
+ ```
196
+ @misc{https://doi.org/10.48550/arxiv.2204.08776,
197
+ doi = {10.48550/ARXIV.2204.08776},
198
+
199
+ url = {https://arxiv.org/abs/2304.13005},
200
+
201
+ author = {Aggarwal, Divyanshu and Gupta, Vivek and Kunchukuttan, Anoop},
202
+
203
+ keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
204
+
205
+ title = {IE-SemParse: Evaluating Multilingual Inference for Indian Languages},
206
+
207
+ publisher = {arXiv},
208
+
209
+ year = {2022},
210
+
211
+ copyright = {Creative Commons Attribution 4.0 International}
212
+ }
213
+ ```
214
+
215
+ <!-- ### Contributions -->
.history/README_20230707234432.md ADDED
@@ -0,0 +1,215 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ annotations_creators:
3
+ - machine-generated
4
+ language_creators:
5
+ - machine-generated
6
+ language:
7
+ - as
8
+ - bn
9
+ - gu
10
+ - hi
11
+ - kn
12
+ - ml
13
+ - mr
14
+ - or
15
+ - pa
16
+ - ta
17
+ - te
18
+ license:
19
+ - cc0-1.0
20
+ multilinguality:
21
+ - multilingual
22
+ pretty_name: IE-SemParse
23
+ size_categories:
24
+ - 1M<n<10M
25
+ source_datasets:
26
+ - original
27
+ task_categories:
28
+ - text2text-generation
29
+ task_ids:
30
+ - parsing
31
+ ---
32
+
33
+ # Dataset Card for "IE-SemParse"
34
+
35
+ ## Table of Contents
36
+
37
+ - [Dataset Card for "IE-SemParse"](#dataset-card-for-ie-semparse)
38
+ - [Table of Contents](#table-of-contents)
39
+ - [Dataset Description](#dataset-description)
40
+ - [Dataset Summary](#dataset-summary)
41
+ - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
42
+ - [Languages](#languages)
43
+ - [Data Splits](#data-splits)
44
+ - [Dataset usage](#dataset-usage)
45
+ - [Dataset Creation](#dataset-creation)
46
+ - [Curation Rationale](#curation-rationale)
47
+ - [Source Data](#source-data)
48
+ - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
49
+ - [Who are the source language producers?](#who-are-the-source-language-producers)
50
+ - [Human Verification Process](#human-verification-process)
51
+ - [Considerations for Using the Data](#considerations-for-using-the-data)
52
+ - [Social Impact of Dataset](#social-impact-of-dataset)
53
+ - [Discussion of Biases](#discussion-of-biases)
54
+ - [Other Known Limitations](#other-known-limitations)
55
+ - [Dataset Curators](#dataset-curators)
56
+ - [Licensing Information](#licensing-information)
57
+ - [Citation Information](#citation-information)
58
+
59
+ ## Dataset Description
60
+
61
+ - **Homepage:** <https://github.com/divyanshuaggarwal/IE-SemParse>
62
+ - **Paper:** [Evaluating Inter-Bilingual Semantic Parsing for Indian Languages](https://arxiv.org/abs/2304.13005)
63
+ - **Point of Contact:** [Divyanshu Aggarwal](mailto:[email protected])
64
+
65
+ ### Dataset Summary
66
+
67
+ IE-SemParse is an InterBilingual Semantic Parsing Dataset for eleven major Indic languages that includes
68
+ Assamese (‘as’), Gujarat (‘gu’), Kannada (‘kn’),
69
+ Malayalam (‘ml’), Marathi (‘mr’), Odia (‘or’),
70
+ Punjabi (‘pa’), Tamil (‘ta’), Telugu (‘te’), Hindi
71
+ (‘hi’), and Bengali (‘bn’).
72
+
73
+ ### Supported Tasks and Leaderboards
74
+
75
+ **Tasks:** Natural Language Inference
76
+
77
+ **Leaderboards:** Currently there is no Leaderboard for this dataset.
78
+
79
+ ### Languages
80
+
81
+ - `Assamese (as)`
82
+ - `Bengali (bn)`
83
+ - `Gujarati (gu)`
84
+ - `Kannada (kn)`
85
+ - `Hindi (hi)`
86
+ - `Malayalam (ml)`
87
+ - `Marathi (mr)`
88
+ - `Oriya (or)`
89
+ - `Punjabi (pa)`
90
+ - `Tamil (ta)`
91
+ - `Telugu (te)`
92
+
93
+ ...
94
+
95
+
96
+ ### Data Splits
97
+
98
+ <!-- Below is the dataset split given for `hi` dataset.
99
+
100
+ ```python
101
+ DatasetDict({
102
+ train: Dataset({
103
+ features: ['utterance', 'logical form', 'intent'],
104
+ num_rows: 36000
105
+ })
106
+ test: Dataset({
107
+ features: ['utterance', 'logical form', 'intent'],
108
+ num_rows: 3000
109
+ })
110
+ validation: Dataset({
111
+ features: ['utterance', 'logical form', 'intent'],
112
+ num_rows: 1500
113
+ })
114
+ })
115
+
116
+ ``` -->
117
+
118
+ Language | ISO 639-1 Code |Train | Dev | Test |
119
+ --------------|----------------|-------|-----|------|
120
+ Assamese | as | 392,702 | 5,010 | 2,490 |
121
+ Bengali | bn | 392,702 | 5,010 | 2,490 |
122
+ Gujarati | gu | 392,702 | 5,010 | 2,490 |
123
+ Hindi | hi | 392,702 | 5,010 | 2,490 |
124
+ Kannada | kn | 392,702 | 5,010 | 2,490 |
125
+ Malayalam | ml |392,702 | 5,010 | 2,490 |
126
+ Marathi | mr |392,702 | 5,010 | 2,490 |
127
+ Oriya | or | 392,702 | 5,010 | 2,490 |
128
+ Punjabi | pa | 392,702 | 5,010 | 2,490 |
129
+ Tamil | ta | 392,702 | 5,010 | 2,490 |
130
+ Telugu | te | 392,702 | 5,010 | 2,490 |
131
+
132
+ <!-- The dataset split remains same across all languages. -->
133
+
134
+ ## Dataset usage
135
+
136
+ Code snippet for using the dataset using datasets library.
137
+
138
+ ```python
139
+ from datasets import load_dataset
140
+
141
+ dataset = load_dataset("Divyanshu/indicxnli")
142
+ ```
143
+
144
+ ## Dataset Creation
145
+
146
+ Machine translation of XNLI english dataset to 11 listed Indic Languages.
147
+
148
+ ### Curation Rationale
149
+
150
+ [More information needed]
151
+
152
+ ### Source Data
153
+
154
+ [mTOP dataset]()
155
+ [multilingualTOP dataset]
156
+
157
+ #### Initial Data Collection and Normalization
158
+
159
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
160
+
161
+ #### Who are the source language producers?
162
+
163
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
164
+
165
+ #### Human Verification Process
166
+
167
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
168
+
169
+ ## Considerations for Using the Data
170
+
171
+ ### Social Impact of Dataset
172
+
173
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
174
+
175
+ ### Discussion of Biases
176
+
177
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
178
+
179
+ ### Other Known Limitations
180
+
181
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
182
+
183
+ ### Dataset Curators
184
+
185
+ Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan
186
+
187
+ ### Licensing Information
188
+
189
+ Contents of this repository are restricted to only non-commercial research purposes under the [Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)](https://creativecommons.org/licenses/by-nc/4.0/). Copyright of the dataset contents belongs to the original copyright holders.
190
+
191
+ ### Citation Information
192
+
193
+ If you use any of the datasets, models or code modules, please cite the following paper:
194
+
195
+ ```
196
+ @misc{https://doi.org/10.48550/arxiv.2204.08776,
197
+ doi = {10.48550/ARXIV.2204.08776},
198
+
199
+ url = {https://arxiv.org/abs/2304.13005},
200
+
201
+ author = {Aggarwal, Divyanshu and Gupta, Vivek and Kunchukuttan, Anoop},
202
+
203
+ keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
204
+
205
+ title = {IE-SemParse: Evaluating Multilingual Inference for Indian Languages},
206
+
207
+ publisher = {arXiv},
208
+
209
+ year = {2022},
210
+
211
+ copyright = {Creative Commons Attribution 4.0 International}
212
+ }
213
+ ```
214
+
215
+ <!-- ### Contributions -->
.history/README_20230707234435.md ADDED
@@ -0,0 +1,216 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ annotations_creators:
3
+ - machine-generated
4
+ language_creators:
5
+ - machine-generated
6
+ language:
7
+ - as
8
+ - bn
9
+ - gu
10
+ - hi
11
+ - kn
12
+ - ml
13
+ - mr
14
+ - or
15
+ - pa
16
+ - ta
17
+ - te
18
+ license:
19
+ - cc0-1.0
20
+ multilinguality:
21
+ - multilingual
22
+ pretty_name: IE-SemParse
23
+ size_categories:
24
+ - 1M<n<10M
25
+ source_datasets:
26
+ - original
27
+ task_categories:
28
+ - text2text-generation
29
+ task_ids:
30
+ - parsing
31
+ ---
32
+
33
+ # Dataset Card for "IE-SemParse"
34
+
35
+ ## Table of Contents
36
+
37
+ - [Dataset Card for "IE-SemParse"](#dataset-card-for-ie-semparse)
38
+ - [Table of Contents](#table-of-contents)
39
+ - [Dataset Description](#dataset-description)
40
+ - [Dataset Summary](#dataset-summary)
41
+ - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
42
+ - [Languages](#languages)
43
+ - [Data Splits](#data-splits)
44
+ - [Dataset usage](#dataset-usage)
45
+ - [Dataset Creation](#dataset-creation)
46
+ - [Curation Rationale](#curation-rationale)
47
+ - [Source Data](#source-data)
48
+ - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
49
+ - [Who are the source language producers?](#who-are-the-source-language-producers)
50
+ - [Human Verification Process](#human-verification-process)
51
+ - [Considerations for Using the Data](#considerations-for-using-the-data)
52
+ - [Social Impact of Dataset](#social-impact-of-dataset)
53
+ - [Discussion of Biases](#discussion-of-biases)
54
+ - [Other Known Limitations](#other-known-limitations)
55
+ - [Dataset Curators](#dataset-curators)
56
+ - [Licensing Information](#licensing-information)
57
+ - [Citation Information](#citation-information)
58
+
59
+ ## Dataset Description
60
+
61
+ - **Homepage:** <https://github.com/divyanshuaggarwal/IE-SemParse>
62
+ - **Paper:** [Evaluating Inter-Bilingual Semantic Parsing for Indian Languages](https://arxiv.org/abs/2304.13005)
63
+ - **Point of Contact:** [Divyanshu Aggarwal](mailto:[email protected])
64
+
65
+ ### Dataset Summary
66
+
67
+ IE-SemParse is an InterBilingual Semantic Parsing Dataset for eleven major Indic languages that includes
68
+ Assamese (‘as’), Gujarat (‘gu’), Kannada (‘kn’),
69
+ Malayalam (‘ml’), Marathi (‘mr’), Odia (‘or’),
70
+ Punjabi (‘pa’), Tamil (‘ta’), Telugu (‘te’), Hindi
71
+ (‘hi’), and Bengali (‘bn’).
72
+
73
+ ### Supported Tasks and Leaderboards
74
+
75
+ **Tasks:** Natural Language Inference
76
+
77
+ **Leaderboards:** Currently there is no Leaderboard for this dataset.
78
+
79
+ ### Languages
80
+
81
+ - `Assamese (as)`
82
+ - `Bengali (bn)`
83
+ - `Gujarati (gu)`
84
+ - `Kannada (kn)`
85
+ - `Hindi (hi)`
86
+ - `Malayalam (ml)`
87
+ - `Marathi (mr)`
88
+ - `Oriya (or)`
89
+ - `Punjabi (pa)`
90
+ - `Tamil (ta)`
91
+ - `Telugu (te)`
92
+
93
+ ...
94
+
95
+
96
+ ### Data Splits
97
+
98
+ <!-- Below is the dataset split given for `hi` dataset.
99
+
100
+ ```python
101
+ DatasetDict({
102
+ train: Dataset({
103
+ features: ['utterance', 'logical form', 'intent'],
104
+ num_rows: 36000
105
+ })
106
+ test: Dataset({
107
+ features: ['utterance', 'logical form', 'intent'],
108
+ num_rows: 3000
109
+ })
110
+ validation: Dataset({
111
+ features: ['utterance', 'logical form', 'intent'],
112
+ num_rows: 1500
113
+ })
114
+ })
115
+
116
+ ``` -->
117
+
118
+ Language | ISO 639-1 Code |Train | Dev | Test |
119
+ --------------|----------------|-------|-----|------|
120
+ Assamese | as | 392,702 | 5,010 | 2,490 |
121
+ Bengali | bn | 392,702 | 5,010 | 2,490 |
122
+ Gujarati | gu | 392,702 | 5,010 | 2,490 |
123
+ Hindi | hi | 392,702 | 5,010 | 2,490 |
124
+ Kannada | kn | 392,702 | 5,010 | 2,490 |
125
+ Malayalam | ml |392,702 | 5,010 | 2,490 |
126
+ Marathi | mr |392,702 | 5,010 | 2,490 |
127
+ Oriya | or | 392,702 | 5,010 | 2,490 |
128
+ Punjabi | pa | 392,702 | 5,010 | 2,490 |
129
+ Tamil | ta | 392,702 | 5,010 | 2,490 |
130
+ Telugu | te | 392,702 | 5,010 | 2,490 |
131
+
132
+ <!-- The dataset split remains same across all languages. -->
133
+
134
+ ## Dataset usage
135
+
136
+ Code snippet for using the dataset using datasets library.
137
+
138
+ ```python
139
+ from datasets import load_dataset
140
+
141
+ dataset = load_dataset("Divyanshu/indicxnli")
142
+ ```
143
+
144
+ ## Dataset Creation
145
+
146
+ Machine translation of XNLI english dataset to 11 listed Indic Languages.
147
+
148
+ ### Curation Rationale
149
+
150
+ [More information needed]
151
+
152
+ ### Source Data
153
+
154
+ [mTOP dataset]()
155
+ [multilingualTOP dataset] ()
156
+
157
+
158
+ #### Initial Data Collection and Normalization
159
+
160
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
161
+
162
+ #### Who are the source language producers?
163
+
164
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
165
+
166
+ #### Human Verification Process
167
+
168
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
169
+
170
+ ## Considerations for Using the Data
171
+
172
+ ### Social Impact of Dataset
173
+
174
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
175
+
176
+ ### Discussion of Biases
177
+
178
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
179
+
180
+ ### Other Known Limitations
181
+
182
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
183
+
184
+ ### Dataset Curators
185
+
186
+ Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan
187
+
188
+ ### Licensing Information
189
+
190
+ Contents of this repository are restricted to only non-commercial research purposes under the [Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)](https://creativecommons.org/licenses/by-nc/4.0/). Copyright of the dataset contents belongs to the original copyright holders.
191
+
192
+ ### Citation Information
193
+
194
+ If you use any of the datasets, models or code modules, please cite the following paper:
195
+
196
+ ```
197
+ @misc{https://doi.org/10.48550/arxiv.2204.08776,
198
+ doi = {10.48550/ARXIV.2204.08776},
199
+
200
+ url = {https://arxiv.org/abs/2304.13005},
201
+
202
+ author = {Aggarwal, Divyanshu and Gupta, Vivek and Kunchukuttan, Anoop},
203
+
204
+ keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
205
+
206
+ title = {IE-SemParse: Evaluating Multilingual Inference for Indian Languages},
207
+
208
+ publisher = {arXiv},
209
+
210
+ year = {2022},
211
+
212
+ copyright = {Creative Commons Attribution 4.0 International}
213
+ }
214
+ ```
215
+
216
+ <!-- ### Contributions -->
.history/README_20230707234437.md ADDED
@@ -0,0 +1,216 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ annotations_creators:
3
+ - machine-generated
4
+ language_creators:
5
+ - machine-generated
6
+ language:
7
+ - as
8
+ - bn
9
+ - gu
10
+ - hi
11
+ - kn
12
+ - ml
13
+ - mr
14
+ - or
15
+ - pa
16
+ - ta
17
+ - te
18
+ license:
19
+ - cc0-1.0
20
+ multilinguality:
21
+ - multilingual
22
+ pretty_name: IE-SemParse
23
+ size_categories:
24
+ - 1M<n<10M
25
+ source_datasets:
26
+ - original
27
+ task_categories:
28
+ - text2text-generation
29
+ task_ids:
30
+ - parsing
31
+ ---
32
+
33
+ # Dataset Card for "IE-SemParse"
34
+
35
+ ## Table of Contents
36
+
37
+ - [Dataset Card for "IE-SemParse"](#dataset-card-for-ie-semparse)
38
+ - [Table of Contents](#table-of-contents)
39
+ - [Dataset Description](#dataset-description)
40
+ - [Dataset Summary](#dataset-summary)
41
+ - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
42
+ - [Languages](#languages)
43
+ - [Data Splits](#data-splits)
44
+ - [Dataset usage](#dataset-usage)
45
+ - [Dataset Creation](#dataset-creation)
46
+ - [Curation Rationale](#curation-rationale)
47
+ - [Source Data](#source-data)
48
+ - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
49
+ - [Who are the source language producers?](#who-are-the-source-language-producers)
50
+ - [Human Verification Process](#human-verification-process)
51
+ - [Considerations for Using the Data](#considerations-for-using-the-data)
52
+ - [Social Impact of Dataset](#social-impact-of-dataset)
53
+ - [Discussion of Biases](#discussion-of-biases)
54
+ - [Other Known Limitations](#other-known-limitations)
55
+ - [Dataset Curators](#dataset-curators)
56
+ - [Licensing Information](#licensing-information)
57
+ - [Citation Information](#citation-information)
58
+
59
+ ## Dataset Description
60
+
61
+ - **Homepage:** <https://github.com/divyanshuaggarwal/IE-SemParse>
62
+ - **Paper:** [Evaluating Inter-Bilingual Semantic Parsing for Indian Languages](https://arxiv.org/abs/2304.13005)
63
+ - **Point of Contact:** [Divyanshu Aggarwal](mailto:[email protected])
64
+
65
+ ### Dataset Summary
66
+
67
+ IE-SemParse is an InterBilingual Semantic Parsing Dataset for eleven major Indic languages that includes
68
+ Assamese (‘as’), Gujarat (‘gu’), Kannada (‘kn’),
69
+ Malayalam (‘ml’), Marathi (‘mr’), Odia (‘or’),
70
+ Punjabi (‘pa’), Tamil (‘ta’), Telugu (‘te’), Hindi
71
+ (‘hi’), and Bengali (‘bn’).
72
+
73
+ ### Supported Tasks and Leaderboards
74
+
75
+ **Tasks:** Natural Language Inference
76
+
77
+ **Leaderboards:** Currently there is no Leaderboard for this dataset.
78
+
79
+ ### Languages
80
+
81
+ - `Assamese (as)`
82
+ - `Bengali (bn)`
83
+ - `Gujarati (gu)`
84
+ - `Kannada (kn)`
85
+ - `Hindi (hi)`
86
+ - `Malayalam (ml)`
87
+ - `Marathi (mr)`
88
+ - `Oriya (or)`
89
+ - `Punjabi (pa)`
90
+ - `Tamil (ta)`
91
+ - `Telugu (te)`
92
+
93
+ ...
94
+
95
+
96
+ ### Data Splits
97
+
98
+ <!-- Below is the dataset split given for `hi` dataset.
99
+
100
+ ```python
101
+ DatasetDict({
102
+ train: Dataset({
103
+ features: ['utterance', 'logical form', 'intent'],
104
+ num_rows: 36000
105
+ })
106
+ test: Dataset({
107
+ features: ['utterance', 'logical form', 'intent'],
108
+ num_rows: 3000
109
+ })
110
+ validation: Dataset({
111
+ features: ['utterance', 'logical form', 'intent'],
112
+ num_rows: 1500
113
+ })
114
+ })
115
+
116
+ ``` -->
117
+
118
+ Language | ISO 639-1 Code |Train | Dev | Test |
119
+ --------------|----------------|-------|-----|------|
120
+ Assamese | as | 392,702 | 5,010 | 2,490 |
121
+ Bengali | bn | 392,702 | 5,010 | 2,490 |
122
+ Gujarati | gu | 392,702 | 5,010 | 2,490 |
123
+ Hindi | hi | 392,702 | 5,010 | 2,490 |
124
+ Kannada | kn | 392,702 | 5,010 | 2,490 |
125
+ Malayalam | ml |392,702 | 5,010 | 2,490 |
126
+ Marathi | mr |392,702 | 5,010 | 2,490 |
127
+ Oriya | or | 392,702 | 5,010 | 2,490 |
128
+ Punjabi | pa | 392,702 | 5,010 | 2,490 |
129
+ Tamil | ta | 392,702 | 5,010 | 2,490 |
130
+ Telugu | te | 392,702 | 5,010 | 2,490 |
131
+
132
+ <!-- The dataset split remains same across all languages. -->
133
+
134
+ ## Dataset usage
135
+
136
+ Code snippet for using the dataset using datasets library.
137
+
138
+ ```python
139
+ from datasets import load_dataset
140
+
141
+ dataset = load_dataset("Divyanshu/indicxnli")
142
+ ```
143
+
144
+ ## Dataset Creation
145
+
146
+ Machine translation of XNLI english dataset to 11 listed Indic Languages.
147
+
148
+ ### Curation Rationale
149
+
150
+ [More information needed]
151
+
152
+ ### Source Data
153
+
154
+ [mTOP dataset]()
155
+ [multilingualTOP dataset] ()
156
+ []
157
+
158
+ #### Initial Data Collection and Normalization
159
+
160
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
161
+
162
+ #### Who are the source language producers?
163
+
164
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
165
+
166
+ #### Human Verification Process
167
+
168
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
169
+
170
+ ## Considerations for Using the Data
171
+
172
+ ### Social Impact of Dataset
173
+
174
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
175
+
176
+ ### Discussion of Biases
177
+
178
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
179
+
180
+ ### Other Known Limitations
181
+
182
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
183
+
184
+ ### Dataset Curators
185
+
186
+ Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan
187
+
188
+ ### Licensing Information
189
+
190
+ Contents of this repository are restricted to only non-commercial research purposes under the [Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)](https://creativecommons.org/licenses/by-nc/4.0/). Copyright of the dataset contents belongs to the original copyright holders.
191
+
192
+ ### Citation Information
193
+
194
+ If you use any of the datasets, models or code modules, please cite the following paper:
195
+
196
+ ```
197
+ @misc{https://doi.org/10.48550/arxiv.2204.08776,
198
+ doi = {10.48550/ARXIV.2204.08776},
199
+
200
+ url = {https://arxiv.org/abs/2304.13005},
201
+
202
+ author = {Aggarwal, Divyanshu and Gupta, Vivek and Kunchukuttan, Anoop},
203
+
204
+ keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
205
+
206
+ title = {IE-SemParse: Evaluating Multilingual Inference for Indian Languages},
207
+
208
+ publisher = {arXiv},
209
+
210
+ year = {2022},
211
+
212
+ copyright = {Creative Commons Attribution 4.0 International}
213
+ }
214
+ ```
215
+
216
+ <!-- ### Contributions -->
.history/README_20230707234442.md ADDED
@@ -0,0 +1,216 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ annotations_creators:
3
+ - machine-generated
4
+ language_creators:
5
+ - machine-generated
6
+ language:
7
+ - as
8
+ - bn
9
+ - gu
10
+ - hi
11
+ - kn
12
+ - ml
13
+ - mr
14
+ - or
15
+ - pa
16
+ - ta
17
+ - te
18
+ license:
19
+ - cc0-1.0
20
+ multilinguality:
21
+ - multilingual
22
+ pretty_name: IE-SemParse
23
+ size_categories:
24
+ - 1M<n<10M
25
+ source_datasets:
26
+ - original
27
+ task_categories:
28
+ - text2text-generation
29
+ task_ids:
30
+ - parsing
31
+ ---
32
+
33
+ # Dataset Card for "IE-SemParse"
34
+
35
+ ## Table of Contents
36
+
37
+ - [Dataset Card for "IE-SemParse"](#dataset-card-for-ie-semparse)
38
+ - [Table of Contents](#table-of-contents)
39
+ - [Dataset Description](#dataset-description)
40
+ - [Dataset Summary](#dataset-summary)
41
+ - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
42
+ - [Languages](#languages)
43
+ - [Data Splits](#data-splits)
44
+ - [Dataset usage](#dataset-usage)
45
+ - [Dataset Creation](#dataset-creation)
46
+ - [Curation Rationale](#curation-rationale)
47
+ - [Source Data](#source-data)
48
+ - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
49
+ - [Who are the source language producers?](#who-are-the-source-language-producers)
50
+ - [Human Verification Process](#human-verification-process)
51
+ - [Considerations for Using the Data](#considerations-for-using-the-data)
52
+ - [Social Impact of Dataset](#social-impact-of-dataset)
53
+ - [Discussion of Biases](#discussion-of-biases)
54
+ - [Other Known Limitations](#other-known-limitations)
55
+ - [Dataset Curators](#dataset-curators)
56
+ - [Licensing Information](#licensing-information)
57
+ - [Citation Information](#citation-information)
58
+
59
+ ## Dataset Description
60
+
61
+ - **Homepage:** <https://github.com/divyanshuaggarwal/IE-SemParse>
62
+ - **Paper:** [Evaluating Inter-Bilingual Semantic Parsing for Indian Languages](https://arxiv.org/abs/2304.13005)
63
+ - **Point of Contact:** [Divyanshu Aggarwal](mailto:[email protected])
64
+
65
+ ### Dataset Summary
66
+
67
+ IE-SemParse is an InterBilingual Semantic Parsing Dataset for eleven major Indic languages that includes
68
+ Assamese (‘as’), Gujarat (‘gu’), Kannada (‘kn’),
69
+ Malayalam (‘ml’), Marathi (‘mr’), Odia (‘or’),
70
+ Punjabi (‘pa’), Tamil (‘ta’), Telugu (‘te’), Hindi
71
+ (‘hi’), and Bengali (‘bn’).
72
+
73
+ ### Supported Tasks and Leaderboards
74
+
75
+ **Tasks:** Natural Language Inference
76
+
77
+ **Leaderboards:** Currently there is no Leaderboard for this dataset.
78
+
79
+ ### Languages
80
+
81
+ - `Assamese (as)`
82
+ - `Bengali (bn)`
83
+ - `Gujarati (gu)`
84
+ - `Kannada (kn)`
85
+ - `Hindi (hi)`
86
+ - `Malayalam (ml)`
87
+ - `Marathi (mr)`
88
+ - `Oriya (or)`
89
+ - `Punjabi (pa)`
90
+ - `Tamil (ta)`
91
+ - `Telugu (te)`
92
+
93
+ ...
94
+
95
+
96
+ ### Data Splits
97
+
98
+ <!-- Below is the dataset split given for `hi` dataset.
99
+
100
+ ```python
101
+ DatasetDict({
102
+ train: Dataset({
103
+ features: ['utterance', 'logical form', 'intent'],
104
+ num_rows: 36000
105
+ })
106
+ test: Dataset({
107
+ features: ['utterance', 'logical form', 'intent'],
108
+ num_rows: 3000
109
+ })
110
+ validation: Dataset({
111
+ features: ['utterance', 'logical form', 'intent'],
112
+ num_rows: 1500
113
+ })
114
+ })
115
+
116
+ ``` -->
117
+
118
+ Language | ISO 639-1 Code |Train | Dev | Test |
119
+ --------------|----------------|-------|-----|------|
120
+ Assamese | as | 392,702 | 5,010 | 2,490 |
121
+ Bengali | bn | 392,702 | 5,010 | 2,490 |
122
+ Gujarati | gu | 392,702 | 5,010 | 2,490 |
123
+ Hindi | hi | 392,702 | 5,010 | 2,490 |
124
+ Kannada | kn | 392,702 | 5,010 | 2,490 |
125
+ Malayalam | ml |392,702 | 5,010 | 2,490 |
126
+ Marathi | mr |392,702 | 5,010 | 2,490 |
127
+ Oriya | or | 392,702 | 5,010 | 2,490 |
128
+ Punjabi | pa | 392,702 | 5,010 | 2,490 |
129
+ Tamil | ta | 392,702 | 5,010 | 2,490 |
130
+ Telugu | te | 392,702 | 5,010 | 2,490 |
131
+
132
+ <!-- The dataset split remains same across all languages. -->
133
+
134
+ ## Dataset usage
135
+
136
+ Code snippet for using the dataset using datasets library.
137
+
138
+ ```python
139
+ from datasets import load_dataset
140
+
141
+ dataset = load_dataset("Divyanshu/indicxnli")
142
+ ```
143
+
144
+ ## Dataset Creation
145
+
146
+ Machine translation of XNLI english dataset to 11 listed Indic Languages.
147
+
148
+ ### Curation Rationale
149
+
150
+ [More information needed]
151
+
152
+ ### Source Data
153
+
154
+ [mTOP dataset]()
155
+ [multilingualTOP dataset] ()
156
+ [multi-]
157
+
158
+ #### Initial Data Collection and Normalization
159
+
160
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
161
+
162
+ #### Who are the source language producers?
163
+
164
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
165
+
166
+ #### Human Verification Process
167
+
168
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
169
+
170
+ ## Considerations for Using the Data
171
+
172
+ ### Social Impact of Dataset
173
+
174
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
175
+
176
+ ### Discussion of Biases
177
+
178
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
179
+
180
+ ### Other Known Limitations
181
+
182
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
183
+
184
+ ### Dataset Curators
185
+
186
+ Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan
187
+
188
+ ### Licensing Information
189
+
190
+ Contents of this repository are restricted to only non-commercial research purposes under the [Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)](https://creativecommons.org/licenses/by-nc/4.0/). Copyright of the dataset contents belongs to the original copyright holders.
191
+
192
+ ### Citation Information
193
+
194
+ If you use any of the datasets, models or code modules, please cite the following paper:
195
+
196
+ ```
197
+ @misc{https://doi.org/10.48550/arxiv.2204.08776,
198
+ doi = {10.48550/ARXIV.2204.08776},
199
+
200
+ url = {https://arxiv.org/abs/2304.13005},
201
+
202
+ author = {Aggarwal, Divyanshu and Gupta, Vivek and Kunchukuttan, Anoop},
203
+
204
+ keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
205
+
206
+ title = {IE-SemParse: Evaluating Multilingual Inference for Indian Languages},
207
+
208
+ publisher = {arXiv},
209
+
210
+ year = {2022},
211
+
212
+ copyright = {Creative Commons Attribution 4.0 International}
213
+ }
214
+ ```
215
+
216
+ <!-- ### Contributions -->
.history/README_20230707234447.md ADDED
@@ -0,0 +1,216 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ annotations_creators:
3
+ - machine-generated
4
+ language_creators:
5
+ - machine-generated
6
+ language:
7
+ - as
8
+ - bn
9
+ - gu
10
+ - hi
11
+ - kn
12
+ - ml
13
+ - mr
14
+ - or
15
+ - pa
16
+ - ta
17
+ - te
18
+ license:
19
+ - cc0-1.0
20
+ multilinguality:
21
+ - multilingual
22
+ pretty_name: IE-SemParse
23
+ size_categories:
24
+ - 1M<n<10M
25
+ source_datasets:
26
+ - original
27
+ task_categories:
28
+ - text2text-generation
29
+ task_ids:
30
+ - parsing
31
+ ---
32
+
33
+ # Dataset Card for "IE-SemParse"
34
+
35
+ ## Table of Contents
36
+
37
+ - [Dataset Card for "IE-SemParse"](#dataset-card-for-ie-semparse)
38
+ - [Table of Contents](#table-of-contents)
39
+ - [Dataset Description](#dataset-description)
40
+ - [Dataset Summary](#dataset-summary)
41
+ - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
42
+ - [Languages](#languages)
43
+ - [Data Splits](#data-splits)
44
+ - [Dataset usage](#dataset-usage)
45
+ - [Dataset Creation](#dataset-creation)
46
+ - [Curation Rationale](#curation-rationale)
47
+ - [Source Data](#source-data)
48
+ - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
49
+ - [Who are the source language producers?](#who-are-the-source-language-producers)
50
+ - [Human Verification Process](#human-verification-process)
51
+ - [Considerations for Using the Data](#considerations-for-using-the-data)
52
+ - [Social Impact of Dataset](#social-impact-of-dataset)
53
+ - [Discussion of Biases](#discussion-of-biases)
54
+ - [Other Known Limitations](#other-known-limitations)
55
+ - [Dataset Curators](#dataset-curators)
56
+ - [Licensing Information](#licensing-information)
57
+ - [Citation Information](#citation-information)
58
+
59
+ ## Dataset Description
60
+
61
+ - **Homepage:** <https://github.com/divyanshuaggarwal/IE-SemParse>
62
+ - **Paper:** [Evaluating Inter-Bilingual Semantic Parsing for Indian Languages](https://arxiv.org/abs/2304.13005)
63
+ - **Point of Contact:** [Divyanshu Aggarwal](mailto:[email protected])
64
+
65
+ ### Dataset Summary
66
+
67
+ IE-SemParse is an InterBilingual Semantic Parsing Dataset for eleven major Indic languages that includes
68
+ Assamese (‘as’), Gujarat (‘gu’), Kannada (‘kn’),
69
+ Malayalam (‘ml’), Marathi (‘mr’), Odia (‘or’),
70
+ Punjabi (‘pa’), Tamil (‘ta’), Telugu (‘te’), Hindi
71
+ (‘hi’), and Bengali (‘bn’).
72
+
73
+ ### Supported Tasks and Leaderboards
74
+
75
+ **Tasks:** Natural Language Inference
76
+
77
+ **Leaderboards:** Currently there is no Leaderboard for this dataset.
78
+
79
+ ### Languages
80
+
81
+ - `Assamese (as)`
82
+ - `Bengali (bn)`
83
+ - `Gujarati (gu)`
84
+ - `Kannada (kn)`
85
+ - `Hindi (hi)`
86
+ - `Malayalam (ml)`
87
+ - `Marathi (mr)`
88
+ - `Oriya (or)`
89
+ - `Punjabi (pa)`
90
+ - `Tamil (ta)`
91
+ - `Telugu (te)`
92
+
93
+ ...
94
+
95
+
96
+ ### Data Splits
97
+
98
+ <!-- Below is the dataset split given for `hi` dataset.
99
+
100
+ ```python
101
+ DatasetDict({
102
+ train: Dataset({
103
+ features: ['utterance', 'logical form', 'intent'],
104
+ num_rows: 36000
105
+ })
106
+ test: Dataset({
107
+ features: ['utterance', 'logical form', 'intent'],
108
+ num_rows: 3000
109
+ })
110
+ validation: Dataset({
111
+ features: ['utterance', 'logical form', 'intent'],
112
+ num_rows: 1500
113
+ })
114
+ })
115
+
116
+ ``` -->
117
+
118
+ Language | ISO 639-1 Code |Train | Dev | Test |
119
+ --------------|----------------|-------|-----|------|
120
+ Assamese | as | 392,702 | 5,010 | 2,490 |
121
+ Bengali | bn | 392,702 | 5,010 | 2,490 |
122
+ Gujarati | gu | 392,702 | 5,010 | 2,490 |
123
+ Hindi | hi | 392,702 | 5,010 | 2,490 |
124
+ Kannada | kn | 392,702 | 5,010 | 2,490 |
125
+ Malayalam | ml |392,702 | 5,010 | 2,490 |
126
+ Marathi | mr |392,702 | 5,010 | 2,490 |
127
+ Oriya | or | 392,702 | 5,010 | 2,490 |
128
+ Punjabi | pa | 392,702 | 5,010 | 2,490 |
129
+ Tamil | ta | 392,702 | 5,010 | 2,490 |
130
+ Telugu | te | 392,702 | 5,010 | 2,490 |
131
+
132
+ <!-- The dataset split remains same across all languages. -->
133
+
134
+ ## Dataset usage
135
+
136
+ Code snippet for using the dataset using datasets library.
137
+
138
+ ```python
139
+ from datasets import load_dataset
140
+
141
+ dataset = load_dataset("Divyanshu/indicxnli")
142
+ ```
143
+
144
+ ## Dataset Creation
145
+
146
+ Machine translation of XNLI english dataset to 11 listed Indic Languages.
147
+
148
+ ### Curation Rationale
149
+
150
+ [More information needed]
151
+
152
+ ### Source Data
153
+
154
+ [mTOP dataset]()
155
+ [multilingualTOP dataset] ()
156
+ ++ ]
157
+
158
+ #### Initial Data Collection and Normalization
159
+
160
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
161
+
162
+ #### Who are the source language producers?
163
+
164
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
165
+
166
+ #### Human Verification Process
167
+
168
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
169
+
170
+ ## Considerations for Using the Data
171
+
172
+ ### Social Impact of Dataset
173
+
174
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
175
+
176
+ ### Discussion of Biases
177
+
178
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
179
+
180
+ ### Other Known Limitations
181
+
182
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
183
+
184
+ ### Dataset Curators
185
+
186
+ Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan
187
+
188
+ ### Licensing Information
189
+
190
+ Contents of this repository are restricted to only non-commercial research purposes under the [Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)](https://creativecommons.org/licenses/by-nc/4.0/). Copyright of the dataset contents belongs to the original copyright holders.
191
+
192
+ ### Citation Information
193
+
194
+ If you use any of the datasets, models or code modules, please cite the following paper:
195
+
196
+ ```
197
+ @misc{https://doi.org/10.48550/arxiv.2204.08776,
198
+ doi = {10.48550/ARXIV.2204.08776},
199
+
200
+ url = {https://arxiv.org/abs/2304.13005},
201
+
202
+ author = {Aggarwal, Divyanshu and Gupta, Vivek and Kunchukuttan, Anoop},
203
+
204
+ keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
205
+
206
+ title = {IE-SemParse: Evaluating Multilingual Inference for Indian Languages},
207
+
208
+ publisher = {arXiv},
209
+
210
+ year = {2022},
211
+
212
+ copyright = {Creative Commons Attribution 4.0 International}
213
+ }
214
+ ```
215
+
216
+ <!-- ### Contributions -->
.history/README_20230707234449.md ADDED
@@ -0,0 +1,216 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ annotations_creators:
3
+ - machine-generated
4
+ language_creators:
5
+ - machine-generated
6
+ language:
7
+ - as
8
+ - bn
9
+ - gu
10
+ - hi
11
+ - kn
12
+ - ml
13
+ - mr
14
+ - or
15
+ - pa
16
+ - ta
17
+ - te
18
+ license:
19
+ - cc0-1.0
20
+ multilinguality:
21
+ - multilingual
22
+ pretty_name: IE-SemParse
23
+ size_categories:
24
+ - 1M<n<10M
25
+ source_datasets:
26
+ - original
27
+ task_categories:
28
+ - text2text-generation
29
+ task_ids:
30
+ - parsing
31
+ ---
32
+
33
+ # Dataset Card for "IE-SemParse"
34
+
35
+ ## Table of Contents
36
+
37
+ - [Dataset Card for "IE-SemParse"](#dataset-card-for-ie-semparse)
38
+ - [Table of Contents](#table-of-contents)
39
+ - [Dataset Description](#dataset-description)
40
+ - [Dataset Summary](#dataset-summary)
41
+ - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
42
+ - [Languages](#languages)
43
+ - [Data Splits](#data-splits)
44
+ - [Dataset usage](#dataset-usage)
45
+ - [Dataset Creation](#dataset-creation)
46
+ - [Curation Rationale](#curation-rationale)
47
+ - [Source Data](#source-data)
48
+ - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
49
+ - [Who are the source language producers?](#who-are-the-source-language-producers)
50
+ - [Human Verification Process](#human-verification-process)
51
+ - [Considerations for Using the Data](#considerations-for-using-the-data)
52
+ - [Social Impact of Dataset](#social-impact-of-dataset)
53
+ - [Discussion of Biases](#discussion-of-biases)
54
+ - [Other Known Limitations](#other-known-limitations)
55
+ - [Dataset Curators](#dataset-curators)
56
+ - [Licensing Information](#licensing-information)
57
+ - [Citation Information](#citation-information)
58
+
59
+ ## Dataset Description
60
+
61
+ - **Homepage:** <https://github.com/divyanshuaggarwal/IE-SemParse>
62
+ - **Paper:** [Evaluating Inter-Bilingual Semantic Parsing for Indian Languages](https://arxiv.org/abs/2304.13005)
63
+ - **Point of Contact:** [Divyanshu Aggarwal](mailto:[email protected])
64
+
65
+ ### Dataset Summary
66
+
67
+ IE-SemParse is an InterBilingual Semantic Parsing Dataset for eleven major Indic languages that includes
68
+ Assamese (‘as’), Gujarat (‘gu’), Kannada (‘kn’),
69
+ Malayalam (‘ml’), Marathi (‘mr’), Odia (‘or’),
70
+ Punjabi (‘pa’), Tamil (‘ta’), Telugu (‘te’), Hindi
71
+ (‘hi’), and Bengali (‘bn’).
72
+
73
+ ### Supported Tasks and Leaderboards
74
+
75
+ **Tasks:** Natural Language Inference
76
+
77
+ **Leaderboards:** Currently there is no Leaderboard for this dataset.
78
+
79
+ ### Languages
80
+
81
+ - `Assamese (as)`
82
+ - `Bengali (bn)`
83
+ - `Gujarati (gu)`
84
+ - `Kannada (kn)`
85
+ - `Hindi (hi)`
86
+ - `Malayalam (ml)`
87
+ - `Marathi (mr)`
88
+ - `Oriya (or)`
89
+ - `Punjabi (pa)`
90
+ - `Tamil (ta)`
91
+ - `Telugu (te)`
92
+
93
+ ...
94
+
95
+
96
+ ### Data Splits
97
+
98
+ <!-- Below is the dataset split given for `hi` dataset.
99
+
100
+ ```python
101
+ DatasetDict({
102
+ train: Dataset({
103
+ features: ['utterance', 'logical form', 'intent'],
104
+ num_rows: 36000
105
+ })
106
+ test: Dataset({
107
+ features: ['utterance', 'logical form', 'intent'],
108
+ num_rows: 3000
109
+ })
110
+ validation: Dataset({
111
+ features: ['utterance', 'logical form', 'intent'],
112
+ num_rows: 1500
113
+ })
114
+ })
115
+
116
+ ``` -->
117
+
118
+ Language | ISO 639-1 Code |Train | Dev | Test |
119
+ --------------|----------------|-------|-----|------|
120
+ Assamese | as | 392,702 | 5,010 | 2,490 |
121
+ Bengali | bn | 392,702 | 5,010 | 2,490 |
122
+ Gujarati | gu | 392,702 | 5,010 | 2,490 |
123
+ Hindi | hi | 392,702 | 5,010 | 2,490 |
124
+ Kannada | kn | 392,702 | 5,010 | 2,490 |
125
+ Malayalam | ml |392,702 | 5,010 | 2,490 |
126
+ Marathi | mr |392,702 | 5,010 | 2,490 |
127
+ Oriya | or | 392,702 | 5,010 | 2,490 |
128
+ Punjabi | pa | 392,702 | 5,010 | 2,490 |
129
+ Tamil | ta | 392,702 | 5,010 | 2,490 |
130
+ Telugu | te | 392,702 | 5,010 | 2,490 |
131
+
132
+ <!-- The dataset split remains same across all languages. -->
133
+
134
+ ## Dataset usage
135
+
136
+ Code snippet for using the dataset using datasets library.
137
+
138
+ ```python
139
+ from datasets import load_dataset
140
+
141
+ dataset = load_dataset("Divyanshu/indicxnli")
142
+ ```
143
+
144
+ ## Dataset Creation
145
+
146
+ Machine translation of XNLI english dataset to 11 listed Indic Languages.
147
+
148
+ ### Curation Rationale
149
+
150
+ [More information needed]
151
+
152
+ ### Source Data
153
+
154
+ [mTOP dataset]()
155
+ [multilingualTOP dataset] ()
156
+ [multi-ATIS_]
157
+
158
+ #### Initial Data Collection and Normalization
159
+
160
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
161
+
162
+ #### Who are the source language producers?
163
+
164
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
165
+
166
+ #### Human Verification Process
167
+
168
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
169
+
170
+ ## Considerations for Using the Data
171
+
172
+ ### Social Impact of Dataset
173
+
174
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
175
+
176
+ ### Discussion of Biases
177
+
178
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
179
+
180
+ ### Other Known Limitations
181
+
182
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
183
+
184
+ ### Dataset Curators
185
+
186
+ Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan
187
+
188
+ ### Licensing Information
189
+
190
+ Contents of this repository are restricted to only non-commercial research purposes under the [Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)](https://creativecommons.org/licenses/by-nc/4.0/). Copyright of the dataset contents belongs to the original copyright holders.
191
+
192
+ ### Citation Information
193
+
194
+ If you use any of the datasets, models or code modules, please cite the following paper:
195
+
196
+ ```
197
+ @misc{https://doi.org/10.48550/arxiv.2204.08776,
198
+ doi = {10.48550/ARXIV.2204.08776},
199
+
200
+ url = {https://arxiv.org/abs/2304.13005},
201
+
202
+ author = {Aggarwal, Divyanshu and Gupta, Vivek and Kunchukuttan, Anoop},
203
+
204
+ keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
205
+
206
+ title = {IE-SemParse: Evaluating Multilingual Inference for Indian Languages},
207
+
208
+ publisher = {arXiv},
209
+
210
+ year = {2022},
211
+
212
+ copyright = {Creative Commons Attribution 4.0 International}
213
+ }
214
+ ```
215
+
216
+ <!-- ### Contributions -->
.history/README_20230707234452.md ADDED
@@ -0,0 +1,216 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ annotations_creators:
3
+ - machine-generated
4
+ language_creators:
5
+ - machine-generated
6
+ language:
7
+ - as
8
+ - bn
9
+ - gu
10
+ - hi
11
+ - kn
12
+ - ml
13
+ - mr
14
+ - or
15
+ - pa
16
+ - ta
17
+ - te
18
+ license:
19
+ - cc0-1.0
20
+ multilinguality:
21
+ - multilingual
22
+ pretty_name: IE-SemParse
23
+ size_categories:
24
+ - 1M<n<10M
25
+ source_datasets:
26
+ - original
27
+ task_categories:
28
+ - text2text-generation
29
+ task_ids:
30
+ - parsing
31
+ ---
32
+
33
+ # Dataset Card for "IE-SemParse"
34
+
35
+ ## Table of Contents
36
+
37
+ - [Dataset Card for "IE-SemParse"](#dataset-card-for-ie-semparse)
38
+ - [Table of Contents](#table-of-contents)
39
+ - [Dataset Description](#dataset-description)
40
+ - [Dataset Summary](#dataset-summary)
41
+ - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
42
+ - [Languages](#languages)
43
+ - [Data Splits](#data-splits)
44
+ - [Dataset usage](#dataset-usage)
45
+ - [Dataset Creation](#dataset-creation)
46
+ - [Curation Rationale](#curation-rationale)
47
+ - [Source Data](#source-data)
48
+ - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
49
+ - [Who are the source language producers?](#who-are-the-source-language-producers)
50
+ - [Human Verification Process](#human-verification-process)
51
+ - [Considerations for Using the Data](#considerations-for-using-the-data)
52
+ - [Social Impact of Dataset](#social-impact-of-dataset)
53
+ - [Discussion of Biases](#discussion-of-biases)
54
+ - [Other Known Limitations](#other-known-limitations)
55
+ - [Dataset Curators](#dataset-curators)
56
+ - [Licensing Information](#licensing-information)
57
+ - [Citation Information](#citation-information)
58
+
59
+ ## Dataset Description
60
+
61
+ - **Homepage:** <https://github.com/divyanshuaggarwal/IE-SemParse>
62
+ - **Paper:** [Evaluating Inter-Bilingual Semantic Parsing for Indian Languages](https://arxiv.org/abs/2304.13005)
63
+ - **Point of Contact:** [Divyanshu Aggarwal](mailto:[email protected])
64
+
65
+ ### Dataset Summary
66
+
67
+ IE-SemParse is an InterBilingual Semantic Parsing Dataset for eleven major Indic languages that includes
68
+ Assamese (‘as’), Gujarat (‘gu’), Kannada (‘kn’),
69
+ Malayalam (‘ml’), Marathi (‘mr’), Odia (‘or’),
70
+ Punjabi (‘pa’), Tamil (‘ta’), Telugu (‘te’), Hindi
71
+ (‘hi’), and Bengali (‘bn’).
72
+
73
+ ### Supported Tasks and Leaderboards
74
+
75
+ **Tasks:** Natural Language Inference
76
+
77
+ **Leaderboards:** Currently there is no Leaderboard for this dataset.
78
+
79
+ ### Languages
80
+
81
+ - `Assamese (as)`
82
+ - `Bengali (bn)`
83
+ - `Gujarati (gu)`
84
+ - `Kannada (kn)`
85
+ - `Hindi (hi)`
86
+ - `Malayalam (ml)`
87
+ - `Marathi (mr)`
88
+ - `Oriya (or)`
89
+ - `Punjabi (pa)`
90
+ - `Tamil (ta)`
91
+ - `Telugu (te)`
92
+
93
+ ...
94
+
95
+
96
+ ### Data Splits
97
+
98
+ <!-- Below is the dataset split given for `hi` dataset.
99
+
100
+ ```python
101
+ DatasetDict({
102
+ train: Dataset({
103
+ features: ['utterance', 'logical form', 'intent'],
104
+ num_rows: 36000
105
+ })
106
+ test: Dataset({
107
+ features: ['utterance', 'logical form', 'intent'],
108
+ num_rows: 3000
109
+ })
110
+ validation: Dataset({
111
+ features: ['utterance', 'logical form', 'intent'],
112
+ num_rows: 1500
113
+ })
114
+ })
115
+
116
+ ``` -->
117
+
118
+ Language | ISO 639-1 Code |Train | Dev | Test |
119
+ --------------|----------------|-------|-----|------|
120
+ Assamese | as | 392,702 | 5,010 | 2,490 |
121
+ Bengali | bn | 392,702 | 5,010 | 2,490 |
122
+ Gujarati | gu | 392,702 | 5,010 | 2,490 |
123
+ Hindi | hi | 392,702 | 5,010 | 2,490 |
124
+ Kannada | kn | 392,702 | 5,010 | 2,490 |
125
+ Malayalam | ml |392,702 | 5,010 | 2,490 |
126
+ Marathi | mr |392,702 | 5,010 | 2,490 |
127
+ Oriya | or | 392,702 | 5,010 | 2,490 |
128
+ Punjabi | pa | 392,702 | 5,010 | 2,490 |
129
+ Tamil | ta | 392,702 | 5,010 | 2,490 |
130
+ Telugu | te | 392,702 | 5,010 | 2,490 |
131
+
132
+ <!-- The dataset split remains same across all languages. -->
133
+
134
+ ## Dataset usage
135
+
136
+ Code snippet for using the dataset using datasets library.
137
+
138
+ ```python
139
+ from datasets import load_dataset
140
+
141
+ dataset = load_dataset("Divyanshu/indicxnli")
142
+ ```
143
+
144
+ ## Dataset Creation
145
+
146
+ Machine translation of XNLI english dataset to 11 listed Indic Languages.
147
+
148
+ ### Curation Rationale
149
+
150
+ [More information needed]
151
+
152
+ ### Source Data
153
+
154
+ [mTOP dataset]()
155
+ [multilingualTOP dataset] ()
156
+ [multi-ATIS++ dataset]
157
+
158
+ #### Initial Data Collection and Normalization
159
+
160
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
161
+
162
+ #### Who are the source language producers?
163
+
164
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
165
+
166
+ #### Human Verification Process
167
+
168
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
169
+
170
+ ## Considerations for Using the Data
171
+
172
+ ### Social Impact of Dataset
173
+
174
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
175
+
176
+ ### Discussion of Biases
177
+
178
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
179
+
180
+ ### Other Known Limitations
181
+
182
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
183
+
184
+ ### Dataset Curators
185
+
186
+ Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan
187
+
188
+ ### Licensing Information
189
+
190
+ Contents of this repository are restricted to only non-commercial research purposes under the [Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)](https://creativecommons.org/licenses/by-nc/4.0/). Copyright of the dataset contents belongs to the original copyright holders.
191
+
192
+ ### Citation Information
193
+
194
+ If you use any of the datasets, models or code modules, please cite the following paper:
195
+
196
+ ```
197
+ @misc{https://doi.org/10.48550/arxiv.2204.08776,
198
+ doi = {10.48550/ARXIV.2204.08776},
199
+
200
+ url = {https://arxiv.org/abs/2304.13005},
201
+
202
+ author = {Aggarwal, Divyanshu and Gupta, Vivek and Kunchukuttan, Anoop},
203
+
204
+ keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
205
+
206
+ title = {IE-SemParse: Evaluating Multilingual Inference for Indian Languages},
207
+
208
+ publisher = {arXiv},
209
+
210
+ year = {2022},
211
+
212
+ copyright = {Creative Commons Attribution 4.0 International}
213
+ }
214
+ ```
215
+
216
+ <!-- ### Contributions -->
.history/README_20230707234454.md ADDED
@@ -0,0 +1,216 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ annotations_creators:
3
+ - machine-generated
4
+ language_creators:
5
+ - machine-generated
6
+ language:
7
+ - as
8
+ - bn
9
+ - gu
10
+ - hi
11
+ - kn
12
+ - ml
13
+ - mr
14
+ - or
15
+ - pa
16
+ - ta
17
+ - te
18
+ license:
19
+ - cc0-1.0
20
+ multilinguality:
21
+ - multilingual
22
+ pretty_name: IE-SemParse
23
+ size_categories:
24
+ - 1M<n<10M
25
+ source_datasets:
26
+ - original
27
+ task_categories:
28
+ - text2text-generation
29
+ task_ids:
30
+ - parsing
31
+ ---
32
+
33
+ # Dataset Card for "IE-SemParse"
34
+
35
+ ## Table of Contents
36
+
37
+ - [Dataset Card for "IE-SemParse"](#dataset-card-for-ie-semparse)
38
+ - [Table of Contents](#table-of-contents)
39
+ - [Dataset Description](#dataset-description)
40
+ - [Dataset Summary](#dataset-summary)
41
+ - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
42
+ - [Languages](#languages)
43
+ - [Data Splits](#data-splits)
44
+ - [Dataset usage](#dataset-usage)
45
+ - [Dataset Creation](#dataset-creation)
46
+ - [Curation Rationale](#curation-rationale)
47
+ - [Source Data](#source-data)
48
+ - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
49
+ - [Who are the source language producers?](#who-are-the-source-language-producers)
50
+ - [Human Verification Process](#human-verification-process)
51
+ - [Considerations for Using the Data](#considerations-for-using-the-data)
52
+ - [Social Impact of Dataset](#social-impact-of-dataset)
53
+ - [Discussion of Biases](#discussion-of-biases)
54
+ - [Other Known Limitations](#other-known-limitations)
55
+ - [Dataset Curators](#dataset-curators)
56
+ - [Licensing Information](#licensing-information)
57
+ - [Citation Information](#citation-information)
58
+
59
+ ## Dataset Description
60
+
61
+ - **Homepage:** <https://github.com/divyanshuaggarwal/IE-SemParse>
62
+ - **Paper:** [Evaluating Inter-Bilingual Semantic Parsing for Indian Languages](https://arxiv.org/abs/2304.13005)
63
+ - **Point of Contact:** [Divyanshu Aggarwal](mailto:[email protected])
64
+
65
+ ### Dataset Summary
66
+
67
+ IE-SemParse is an InterBilingual Semantic Parsing Dataset for eleven major Indic languages that includes
68
+ Assamese (‘as’), Gujarat (‘gu’), Kannada (‘kn’),
69
+ Malayalam (‘ml’), Marathi (‘mr’), Odia (‘or’),
70
+ Punjabi (‘pa’), Tamil (‘ta’), Telugu (‘te’), Hindi
71
+ (‘hi’), and Bengali (‘bn’).
72
+
73
+ ### Supported Tasks and Leaderboards
74
+
75
+ **Tasks:** Natural Language Inference
76
+
77
+ **Leaderboards:** Currently there is no Leaderboard for this dataset.
78
+
79
+ ### Languages
80
+
81
+ - `Assamese (as)`
82
+ - `Bengali (bn)`
83
+ - `Gujarati (gu)`
84
+ - `Kannada (kn)`
85
+ - `Hindi (hi)`
86
+ - `Malayalam (ml)`
87
+ - `Marathi (mr)`
88
+ - `Oriya (or)`
89
+ - `Punjabi (pa)`
90
+ - `Tamil (ta)`
91
+ - `Telugu (te)`
92
+
93
+ ...
94
+
95
+
96
+ ### Data Splits
97
+
98
+ <!-- Below is the dataset split given for `hi` dataset.
99
+
100
+ ```python
101
+ DatasetDict({
102
+ train: Dataset({
103
+ features: ['utterance', 'logical form', 'intent'],
104
+ num_rows: 36000
105
+ })
106
+ test: Dataset({
107
+ features: ['utterance', 'logical form', 'intent'],
108
+ num_rows: 3000
109
+ })
110
+ validation: Dataset({
111
+ features: ['utterance', 'logical form', 'intent'],
112
+ num_rows: 1500
113
+ })
114
+ })
115
+
116
+ ``` -->
117
+
118
+ Language | ISO 639-1 Code |Train | Dev | Test |
119
+ --------------|----------------|-------|-----|------|
120
+ Assamese | as | 392,702 | 5,010 | 2,490 |
121
+ Bengali | bn | 392,702 | 5,010 | 2,490 |
122
+ Gujarati | gu | 392,702 | 5,010 | 2,490 |
123
+ Hindi | hi | 392,702 | 5,010 | 2,490 |
124
+ Kannada | kn | 392,702 | 5,010 | 2,490 |
125
+ Malayalam | ml |392,702 | 5,010 | 2,490 |
126
+ Marathi | mr |392,702 | 5,010 | 2,490 |
127
+ Oriya | or | 392,702 | 5,010 | 2,490 |
128
+ Punjabi | pa | 392,702 | 5,010 | 2,490 |
129
+ Tamil | ta | 392,702 | 5,010 | 2,490 |
130
+ Telugu | te | 392,702 | 5,010 | 2,490 |
131
+
132
+ <!-- The dataset split remains same across all languages. -->
133
+
134
+ ## Dataset usage
135
+
136
+ Code snippet for using the dataset using datasets library.
137
+
138
+ ```python
139
+ from datasets import load_dataset
140
+
141
+ dataset = load_dataset("Divyanshu/indicxnli")
142
+ ```
143
+
144
+ ## Dataset Creation
145
+
146
+ Machine translation of XNLI english dataset to 11 listed Indic Languages.
147
+
148
+ ### Curation Rationale
149
+
150
+ [More information needed]
151
+
152
+ ### Source Data
153
+
154
+ [mTOP dataset]()
155
+ [multilingualTOP dataset] ()
156
+ [multi-ATIS++ dataset] ()
157
+
158
+ #### Initial Data Collection and Normalization
159
+
160
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
161
+
162
+ #### Who are the source language producers?
163
+
164
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
165
+
166
+ #### Human Verification Process
167
+
168
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
169
+
170
+ ## Considerations for Using the Data
171
+
172
+ ### Social Impact of Dataset
173
+
174
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
175
+
176
+ ### Discussion of Biases
177
+
178
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
179
+
180
+ ### Other Known Limitations
181
+
182
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
183
+
184
+ ### Dataset Curators
185
+
186
+ Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan
187
+
188
+ ### Licensing Information
189
+
190
+ Contents of this repository are restricted to only non-commercial research purposes under the [Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)](https://creativecommons.org/licenses/by-nc/4.0/). Copyright of the dataset contents belongs to the original copyright holders.
191
+
192
+ ### Citation Information
193
+
194
+ If you use any of the datasets, models or code modules, please cite the following paper:
195
+
196
+ ```
197
+ @misc{https://doi.org/10.48550/arxiv.2204.08776,
198
+ doi = {10.48550/ARXIV.2204.08776},
199
+
200
+ url = {https://arxiv.org/abs/2304.13005},
201
+
202
+ author = {Aggarwal, Divyanshu and Gupta, Vivek and Kunchukuttan, Anoop},
203
+
204
+ keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
205
+
206
+ title = {IE-SemParse: Evaluating Multilingual Inference for Indian Languages},
207
+
208
+ publisher = {arXiv},
209
+
210
+ year = {2022},
211
+
212
+ copyright = {Creative Commons Attribution 4.0 International}
213
+ }
214
+ ```
215
+
216
+ <!-- ### Contributions -->
.history/README_20230707234516.md ADDED
@@ -0,0 +1,216 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ annotations_creators:
3
+ - machine-generated
4
+ language_creators:
5
+ - machine-generated
6
+ language:
7
+ - as
8
+ - bn
9
+ - gu
10
+ - hi
11
+ - kn
12
+ - ml
13
+ - mr
14
+ - or
15
+ - pa
16
+ - ta
17
+ - te
18
+ license:
19
+ - cc0-1.0
20
+ multilinguality:
21
+ - multilingual
22
+ pretty_name: IE-SemParse
23
+ size_categories:
24
+ - 1M<n<10M
25
+ source_datasets:
26
+ - original
27
+ task_categories:
28
+ - text2text-generation
29
+ task_ids:
30
+ - parsing
31
+ ---
32
+
33
+ # Dataset Card for "IE-SemParse"
34
+
35
+ ## Table of Contents
36
+
37
+ - [Dataset Card for "IE-SemParse"](#dataset-card-for-ie-semparse)
38
+ - [Table of Contents](#table-of-contents)
39
+ - [Dataset Description](#dataset-description)
40
+ - [Dataset Summary](#dataset-summary)
41
+ - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
42
+ - [Languages](#languages)
43
+ - [Data Splits](#data-splits)
44
+ - [Dataset usage](#dataset-usage)
45
+ - [Dataset Creation](#dataset-creation)
46
+ - [Curation Rationale](#curation-rationale)
47
+ - [Source Data](#source-data)
48
+ - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
49
+ - [Who are the source language producers?](#who-are-the-source-language-producers)
50
+ - [Human Verification Process](#human-verification-process)
51
+ - [Considerations for Using the Data](#considerations-for-using-the-data)
52
+ - [Social Impact of Dataset](#social-impact-of-dataset)
53
+ - [Discussion of Biases](#discussion-of-biases)
54
+ - [Other Known Limitations](#other-known-limitations)
55
+ - [Dataset Curators](#dataset-curators)
56
+ - [Licensing Information](#licensing-information)
57
+ - [Citation Information](#citation-information)
58
+
59
+ ## Dataset Description
60
+
61
+ - **Homepage:** <https://github.com/divyanshuaggarwal/IE-SemParse>
62
+ - **Paper:** [Evaluating Inter-Bilingual Semantic Parsing for Indian Languages](https://arxiv.org/abs/2304.13005)
63
+ - **Point of Contact:** [Divyanshu Aggarwal](mailto:[email protected])
64
+
65
+ ### Dataset Summary
66
+
67
+ IE-SemParse is an InterBilingual Semantic Parsing Dataset for eleven major Indic languages that includes
68
+ Assamese (‘as’), Gujarat (‘gu’), Kannada (‘kn’),
69
+ Malayalam (‘ml’), Marathi (‘mr’), Odia (‘or’),
70
+ Punjabi (‘pa’), Tamil (‘ta’), Telugu (‘te’), Hindi
71
+ (‘hi’), and Bengali (‘bn’).
72
+
73
+ ### Supported Tasks and Leaderboards
74
+
75
+ **Tasks:** Natural Language Inference
76
+
77
+ **Leaderboards:** Currently there is no Leaderboard for this dataset.
78
+
79
+ ### Languages
80
+
81
+ - `Assamese (as)`
82
+ - `Bengali (bn)`
83
+ - `Gujarati (gu)`
84
+ - `Kannada (kn)`
85
+ - `Hindi (hi)`
86
+ - `Malayalam (ml)`
87
+ - `Marathi (mr)`
88
+ - `Oriya (or)`
89
+ - `Punjabi (pa)`
90
+ - `Tamil (ta)`
91
+ - `Telugu (te)`
92
+
93
+ ...
94
+
95
+
96
+ ### Data Splits
97
+
98
+ <!-- Below is the dataset split given for `hi` dataset.
99
+
100
+ ```python
101
+ DatasetDict({
102
+ train: Dataset({
103
+ features: ['utterance', 'logical form', 'intent'],
104
+ num_rows: 36000
105
+ })
106
+ test: Dataset({
107
+ features: ['utterance', 'logical form', 'intent'],
108
+ num_rows: 3000
109
+ })
110
+ validation: Dataset({
111
+ features: ['utterance', 'logical form', 'intent'],
112
+ num_rows: 1500
113
+ })
114
+ })
115
+
116
+ ``` -->
117
+
118
+ Language | ISO 639-1 Code |Train | Dev | Test |
119
+ --------------|----------------|-------|-----|------|
120
+ Assamese | as | 392,702 | 5,010 | 2,490 |
121
+ Bengali | bn | 392,702 | 5,010 | 2,490 |
122
+ Gujarati | gu | 392,702 | 5,010 | 2,490 |
123
+ Hindi | hi | 392,702 | 5,010 | 2,490 |
124
+ Kannada | kn | 392,702 | 5,010 | 2,490 |
125
+ Malayalam | ml |392,702 | 5,010 | 2,490 |
126
+ Marathi | mr |392,702 | 5,010 | 2,490 |
127
+ Oriya | or | 392,702 | 5,010 | 2,490 |
128
+ Punjabi | pa | 392,702 | 5,010 | 2,490 |
129
+ Tamil | ta | 392,702 | 5,010 | 2,490 |
130
+ Telugu | te | 392,702 | 5,010 | 2,490 |
131
+
132
+ <!-- The dataset split remains same across all languages. -->
133
+
134
+ ## Dataset usage
135
+
136
+ Code snippet for using the dataset using datasets library.
137
+
138
+ ```python
139
+ from datasets import load_dataset
140
+
141
+ dataset = load_dataset("Divyanshu/indicxnli")
142
+ ```
143
+
144
+ ## Dataset Creation
145
+
146
+ Machine translation of XNLI english dataset to 11 listed Indic Languages.
147
+
148
+ ### Curation Rationale
149
+
150
+ [More information needed]
151
+
152
+ ### Source Data
153
+
154
+ [mTOP dataset](https://aclanthology.org/2021.eacl-main.257/)
155
+ [multilingualTOP dataset] ()
156
+ [multi-ATIS++ dataset] ()
157
+
158
+ #### Initial Data Collection and Normalization
159
+
160
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
161
+
162
+ #### Who are the source language producers?
163
+
164
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
165
+
166
+ #### Human Verification Process
167
+
168
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
169
+
170
+ ## Considerations for Using the Data
171
+
172
+ ### Social Impact of Dataset
173
+
174
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
175
+
176
+ ### Discussion of Biases
177
+
178
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
179
+
180
+ ### Other Known Limitations
181
+
182
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
183
+
184
+ ### Dataset Curators
185
+
186
+ Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan
187
+
188
+ ### Licensing Information
189
+
190
+ Contents of this repository are restricted to only non-commercial research purposes under the [Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)](https://creativecommons.org/licenses/by-nc/4.0/). Copyright of the dataset contents belongs to the original copyright holders.
191
+
192
+ ### Citation Information
193
+
194
+ If you use any of the datasets, models or code modules, please cite the following paper:
195
+
196
+ ```
197
+ @misc{https://doi.org/10.48550/arxiv.2204.08776,
198
+ doi = {10.48550/ARXIV.2204.08776},
199
+
200
+ url = {https://arxiv.org/abs/2304.13005},
201
+
202
+ author = {Aggarwal, Divyanshu and Gupta, Vivek and Kunchukuttan, Anoop},
203
+
204
+ keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
205
+
206
+ title = {IE-SemParse: Evaluating Multilingual Inference for Indian Languages},
207
+
208
+ publisher = {arXiv},
209
+
210
+ year = {2022},
211
+
212
+ copyright = {Creative Commons Attribution 4.0 International}
213
+ }
214
+ ```
215
+
216
+ <!-- ### Contributions -->
.history/README_20230707234537.md ADDED
@@ -0,0 +1,216 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ annotations_creators:
3
+ - machine-generated
4
+ language_creators:
5
+ - machine-generated
6
+ language:
7
+ - as
8
+ - bn
9
+ - gu
10
+ - hi
11
+ - kn
12
+ - ml
13
+ - mr
14
+ - or
15
+ - pa
16
+ - ta
17
+ - te
18
+ license:
19
+ - cc0-1.0
20
+ multilinguality:
21
+ - multilingual
22
+ pretty_name: IE-SemParse
23
+ size_categories:
24
+ - 1M<n<10M
25
+ source_datasets:
26
+ - original
27
+ task_categories:
28
+ - text2text-generation
29
+ task_ids:
30
+ - parsing
31
+ ---
32
+
33
+ # Dataset Card for "IE-SemParse"
34
+
35
+ ## Table of Contents
36
+
37
+ - [Dataset Card for "IE-SemParse"](#dataset-card-for-ie-semparse)
38
+ - [Table of Contents](#table-of-contents)
39
+ - [Dataset Description](#dataset-description)
40
+ - [Dataset Summary](#dataset-summary)
41
+ - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
42
+ - [Languages](#languages)
43
+ - [Data Splits](#data-splits)
44
+ - [Dataset usage](#dataset-usage)
45
+ - [Dataset Creation](#dataset-creation)
46
+ - [Curation Rationale](#curation-rationale)
47
+ - [Source Data](#source-data)
48
+ - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
49
+ - [Who are the source language producers?](#who-are-the-source-language-producers)
50
+ - [Human Verification Process](#human-verification-process)
51
+ - [Considerations for Using the Data](#considerations-for-using-the-data)
52
+ - [Social Impact of Dataset](#social-impact-of-dataset)
53
+ - [Discussion of Biases](#discussion-of-biases)
54
+ - [Other Known Limitations](#other-known-limitations)
55
+ - [Dataset Curators](#dataset-curators)
56
+ - [Licensing Information](#licensing-information)
57
+ - [Citation Information](#citation-information)
58
+
59
+ ## Dataset Description
60
+
61
+ - **Homepage:** <https://github.com/divyanshuaggarwal/IE-SemParse>
62
+ - **Paper:** [Evaluating Inter-Bilingual Semantic Parsing for Indian Languages](https://arxiv.org/abs/2304.13005)
63
+ - **Point of Contact:** [Divyanshu Aggarwal](mailto:[email protected])
64
+
65
+ ### Dataset Summary
66
+
67
+ IE-SemParse is an InterBilingual Semantic Parsing Dataset for eleven major Indic languages that includes
68
+ Assamese (‘as’), Gujarat (‘gu’), Kannada (‘kn’),
69
+ Malayalam (‘ml’), Marathi (‘mr’), Odia (‘or’),
70
+ Punjabi (‘pa’), Tamil (‘ta’), Telugu (‘te’), Hindi
71
+ (‘hi’), and Bengali (‘bn’).
72
+
73
+ ### Supported Tasks and Leaderboards
74
+
75
+ **Tasks:** Natural Language Inference
76
+
77
+ **Leaderboards:** Currently there is no Leaderboard for this dataset.
78
+
79
+ ### Languages
80
+
81
+ - `Assamese (as)`
82
+ - `Bengali (bn)`
83
+ - `Gujarati (gu)`
84
+ - `Kannada (kn)`
85
+ - `Hindi (hi)`
86
+ - `Malayalam (ml)`
87
+ - `Marathi (mr)`
88
+ - `Oriya (or)`
89
+ - `Punjabi (pa)`
90
+ - `Tamil (ta)`
91
+ - `Telugu (te)`
92
+
93
+ ...
94
+
95
+
96
+ ### Data Splits
97
+
98
+ <!-- Below is the dataset split given for `hi` dataset.
99
+
100
+ ```python
101
+ DatasetDict({
102
+ train: Dataset({
103
+ features: ['utterance', 'logical form', 'intent'],
104
+ num_rows: 36000
105
+ })
106
+ test: Dataset({
107
+ features: ['utterance', 'logical form', 'intent'],
108
+ num_rows: 3000
109
+ })
110
+ validation: Dataset({
111
+ features: ['utterance', 'logical form', 'intent'],
112
+ num_rows: 1500
113
+ })
114
+ })
115
+
116
+ ``` -->
117
+
118
+ Language | ISO 639-1 Code |Train | Dev | Test |
119
+ --------------|----------------|-------|-----|------|
120
+ Assamese | as | 392,702 | 5,010 | 2,490 |
121
+ Bengali | bn | 392,702 | 5,010 | 2,490 |
122
+ Gujarati | gu | 392,702 | 5,010 | 2,490 |
123
+ Hindi | hi | 392,702 | 5,010 | 2,490 |
124
+ Kannada | kn | 392,702 | 5,010 | 2,490 |
125
+ Malayalam | ml |392,702 | 5,010 | 2,490 |
126
+ Marathi | mr |392,702 | 5,010 | 2,490 |
127
+ Oriya | or | 392,702 | 5,010 | 2,490 |
128
+ Punjabi | pa | 392,702 | 5,010 | 2,490 |
129
+ Tamil | ta | 392,702 | 5,010 | 2,490 |
130
+ Telugu | te | 392,702 | 5,010 | 2,490 |
131
+
132
+ <!-- The dataset split remains same across all languages. -->
133
+
134
+ ## Dataset usage
135
+
136
+ Code snippet for using the dataset using datasets library.
137
+
138
+ ```python
139
+ from datasets import load_dataset
140
+
141
+ dataset = load_dataset("Divyanshu/indicxnli")
142
+ ```
143
+
144
+ ## Dataset Creation
145
+
146
+ Machine translation of XNLI english dataset to 11 listed Indic Languages.
147
+
148
+ ### Curation Rationale
149
+
150
+ [More information needed]
151
+
152
+ ### Source Data
153
+
154
+ [mTOP dataset](https://aclanthology.org/2021.eacl-main.257/)
155
+ [multilingualTOP dataset] (<https://github.com/awslabs/multilingual-top>)
156
+ [multi-ATIS++ dataset] ()
157
+
158
+ #### Initial Data Collection and Normalization
159
+
160
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
161
+
162
+ #### Who are the source language producers?
163
+
164
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
165
+
166
+ #### Human Verification Process
167
+
168
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
169
+
170
+ ## Considerations for Using the Data
171
+
172
+ ### Social Impact of Dataset
173
+
174
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
175
+
176
+ ### Discussion of Biases
177
+
178
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
179
+
180
+ ### Other Known Limitations
181
+
182
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
183
+
184
+ ### Dataset Curators
185
+
186
+ Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan
187
+
188
+ ### Licensing Information
189
+
190
+ Contents of this repository are restricted to only non-commercial research purposes under the [Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)](https://creativecommons.org/licenses/by-nc/4.0/). Copyright of the dataset contents belongs to the original copyright holders.
191
+
192
+ ### Citation Information
193
+
194
+ If you use any of the datasets, models or code modules, please cite the following paper:
195
+
196
+ ```
197
+ @misc{https://doi.org/10.48550/arxiv.2204.08776,
198
+ doi = {10.48550/ARXIV.2204.08776},
199
+
200
+ url = {https://arxiv.org/abs/2304.13005},
201
+
202
+ author = {Aggarwal, Divyanshu and Gupta, Vivek and Kunchukuttan, Anoop},
203
+
204
+ keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
205
+
206
+ title = {IE-SemParse: Evaluating Multilingual Inference for Indian Languages},
207
+
208
+ publisher = {arXiv},
209
+
210
+ year = {2022},
211
+
212
+ copyright = {Creative Commons Attribution 4.0 International}
213
+ }
214
+ ```
215
+
216
+ <!-- ### Contributions -->
.history/README_20230707234548.md ADDED
@@ -0,0 +1,216 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ annotations_creators:
3
+ - machine-generated
4
+ language_creators:
5
+ - machine-generated
6
+ language:
7
+ - as
8
+ - bn
9
+ - gu
10
+ - hi
11
+ - kn
12
+ - ml
13
+ - mr
14
+ - or
15
+ - pa
16
+ - ta
17
+ - te
18
+ license:
19
+ - cc0-1.0
20
+ multilinguality:
21
+ - multilingual
22
+ pretty_name: IE-SemParse
23
+ size_categories:
24
+ - 1M<n<10M
25
+ source_datasets:
26
+ - original
27
+ task_categories:
28
+ - text2text-generation
29
+ task_ids:
30
+ - parsing
31
+ ---
32
+
33
+ # Dataset Card for "IE-SemParse"
34
+
35
+ ## Table of Contents
36
+
37
+ - [Dataset Card for "IE-SemParse"](#dataset-card-for-ie-semparse)
38
+ - [Table of Contents](#table-of-contents)
39
+ - [Dataset Description](#dataset-description)
40
+ - [Dataset Summary](#dataset-summary)
41
+ - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
42
+ - [Languages](#languages)
43
+ - [Data Splits](#data-splits)
44
+ - [Dataset usage](#dataset-usage)
45
+ - [Dataset Creation](#dataset-creation)
46
+ - [Curation Rationale](#curation-rationale)
47
+ - [Source Data](#source-data)
48
+ - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
49
+ - [Who are the source language producers?](#who-are-the-source-language-producers)
50
+ - [Human Verification Process](#human-verification-process)
51
+ - [Considerations for Using the Data](#considerations-for-using-the-data)
52
+ - [Social Impact of Dataset](#social-impact-of-dataset)
53
+ - [Discussion of Biases](#discussion-of-biases)
54
+ - [Other Known Limitations](#other-known-limitations)
55
+ - [Dataset Curators](#dataset-curators)
56
+ - [Licensing Information](#licensing-information)
57
+ - [Citation Information](#citation-information)
58
+
59
+ ## Dataset Description
60
+
61
+ - **Homepage:** <https://github.com/divyanshuaggarwal/IE-SemParse>
62
+ - **Paper:** [Evaluating Inter-Bilingual Semantic Parsing for Indian Languages](https://arxiv.org/abs/2304.13005)
63
+ - **Point of Contact:** [Divyanshu Aggarwal](mailto:[email protected])
64
+
65
+ ### Dataset Summary
66
+
67
+ IE-SemParse is an InterBilingual Semantic Parsing Dataset for eleven major Indic languages that includes
68
+ Assamese (‘as’), Gujarat (‘gu’), Kannada (‘kn’),
69
+ Malayalam (‘ml’), Marathi (‘mr’), Odia (‘or’),
70
+ Punjabi (‘pa’), Tamil (‘ta’), Telugu (‘te’), Hindi
71
+ (‘hi’), and Bengali (‘bn’).
72
+
73
+ ### Supported Tasks and Leaderboards
74
+
75
+ **Tasks:** Natural Language Inference
76
+
77
+ **Leaderboards:** Currently there is no Leaderboard for this dataset.
78
+
79
+ ### Languages
80
+
81
+ - `Assamese (as)`
82
+ - `Bengali (bn)`
83
+ - `Gujarati (gu)`
84
+ - `Kannada (kn)`
85
+ - `Hindi (hi)`
86
+ - `Malayalam (ml)`
87
+ - `Marathi (mr)`
88
+ - `Oriya (or)`
89
+ - `Punjabi (pa)`
90
+ - `Tamil (ta)`
91
+ - `Telugu (te)`
92
+
93
+ ...
94
+
95
+
96
+ ### Data Splits
97
+
98
+ <!-- Below is the dataset split given for `hi` dataset.
99
+
100
+ ```python
101
+ DatasetDict({
102
+ train: Dataset({
103
+ features: ['utterance', 'logical form', 'intent'],
104
+ num_rows: 36000
105
+ })
106
+ test: Dataset({
107
+ features: ['utterance', 'logical form', 'intent'],
108
+ num_rows: 3000
109
+ })
110
+ validation: Dataset({
111
+ features: ['utterance', 'logical form', 'intent'],
112
+ num_rows: 1500
113
+ })
114
+ })
115
+
116
+ ``` -->
117
+
118
+ Language | ISO 639-1 Code |Train | Dev | Test |
119
+ --------------|----------------|-------|-----|------|
120
+ Assamese | as | 392,702 | 5,010 | 2,490 |
121
+ Bengali | bn | 392,702 | 5,010 | 2,490 |
122
+ Gujarati | gu | 392,702 | 5,010 | 2,490 |
123
+ Hindi | hi | 392,702 | 5,010 | 2,490 |
124
+ Kannada | kn | 392,702 | 5,010 | 2,490 |
125
+ Malayalam | ml |392,702 | 5,010 | 2,490 |
126
+ Marathi | mr |392,702 | 5,010 | 2,490 |
127
+ Oriya | or | 392,702 | 5,010 | 2,490 |
128
+ Punjabi | pa | 392,702 | 5,010 | 2,490 |
129
+ Tamil | ta | 392,702 | 5,010 | 2,490 |
130
+ Telugu | te | 392,702 | 5,010 | 2,490 |
131
+
132
+ <!-- The dataset split remains same across all languages. -->
133
+
134
+ ## Dataset usage
135
+
136
+ Code snippet for using the dataset using datasets library.
137
+
138
+ ```python
139
+ from datasets import load_dataset
140
+
141
+ dataset = load_dataset("Divyanshu/IE_SemParse")
142
+ ```
143
+
144
+ ## Dataset Creation
145
+
146
+ Machine translation of XNLI english dataset to 11 listed Indic Languages.
147
+
148
+ ### Curation Rationale
149
+
150
+ [More information needed]
151
+
152
+ ### Source Data
153
+
154
+ [mTOP dataset](https://aclanthology.org/2021.eacl-main.257/)
155
+ [multilingualTOP dataset] (<https://github.com/awslabs/multilingual-top>)
156
+ [multi-ATIS++ dataset] ()
157
+
158
+ #### Initial Data Collection and Normalization
159
+
160
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
161
+
162
+ #### Who are the source language producers?
163
+
164
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
165
+
166
+ #### Human Verification Process
167
+
168
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
169
+
170
+ ## Considerations for Using the Data
171
+
172
+ ### Social Impact of Dataset
173
+
174
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
175
+
176
+ ### Discussion of Biases
177
+
178
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
179
+
180
+ ### Other Known Limitations
181
+
182
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
183
+
184
+ ### Dataset Curators
185
+
186
+ Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan
187
+
188
+ ### Licensing Information
189
+
190
+ Contents of this repository are restricted to only non-commercial research purposes under the [Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)](https://creativecommons.org/licenses/by-nc/4.0/). Copyright of the dataset contents belongs to the original copyright holders.
191
+
192
+ ### Citation Information
193
+
194
+ If you use any of the datasets, models or code modules, please cite the following paper:
195
+
196
+ ```
197
+ @misc{https://doi.org/10.48550/arxiv.2204.08776,
198
+ doi = {10.48550/ARXIV.2204.08776},
199
+
200
+ url = {https://arxiv.org/abs/2304.13005},
201
+
202
+ author = {Aggarwal, Divyanshu and Gupta, Vivek and Kunchukuttan, Anoop},
203
+
204
+ keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
205
+
206
+ title = {IE-SemParse: Evaluating Multilingual Inference for Indian Languages},
207
+
208
+ publisher = {arXiv},
209
+
210
+ year = {2022},
211
+
212
+ copyright = {Creative Commons Attribution 4.0 International}
213
+ }
214
+ ```
215
+
216
+ <!-- ### Contributions -->
.history/README_20230707234607.md ADDED
@@ -0,0 +1,216 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ annotations_creators:
3
+ - machine-generated
4
+ language_creators:
5
+ - machine-generated
6
+ language:
7
+ - as
8
+ - bn
9
+ - gu
10
+ - hi
11
+ - kn
12
+ - ml
13
+ - mr
14
+ - or
15
+ - pa
16
+ - ta
17
+ - te
18
+ license:
19
+ - cc0-1.0
20
+ multilinguality:
21
+ - multilingual
22
+ pretty_name: IE-SemParse
23
+ size_categories:
24
+ - 1M<n<10M
25
+ source_datasets:
26
+ - original
27
+ task_categories:
28
+ - text2text-generation
29
+ task_ids:
30
+ - parsing
31
+ ---
32
+
33
+ # Dataset Card for "IE-SemParse"
34
+
35
+ ## Table of Contents
36
+
37
+ - [Dataset Card for "IE-SemParse"](#dataset-card-for-ie-semparse)
38
+ - [Table of Contents](#table-of-contents)
39
+ - [Dataset Description](#dataset-description)
40
+ - [Dataset Summary](#dataset-summary)
41
+ - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
42
+ - [Languages](#languages)
43
+ - [Data Splits](#data-splits)
44
+ - [Dataset usage](#dataset-usage)
45
+ - [Dataset Creation](#dataset-creation)
46
+ - [Curation Rationale](#curation-rationale)
47
+ - [Source Data](#source-data)
48
+ - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
49
+ - [Who are the source language producers?](#who-are-the-source-language-producers)
50
+ - [Human Verification Process](#human-verification-process)
51
+ - [Considerations for Using the Data](#considerations-for-using-the-data)
52
+ - [Social Impact of Dataset](#social-impact-of-dataset)
53
+ - [Discussion of Biases](#discussion-of-biases)
54
+ - [Other Known Limitations](#other-known-limitations)
55
+ - [Dataset Curators](#dataset-curators)
56
+ - [Licensing Information](#licensing-information)
57
+ - [Citation Information](#citation-information)
58
+
59
+ ## Dataset Description
60
+
61
+ - **Homepage:** <https://github.com/divyanshuaggarwal/IE-SemParse>
62
+ - **Paper:** [Evaluating Inter-Bilingual Semantic Parsing for Indian Languages](https://arxiv.org/abs/2304.13005)
63
+ - **Point of Contact:** [Divyanshu Aggarwal](mailto:[email protected])
64
+
65
+ ### Dataset Summary
66
+
67
+ IE-SemParse is an InterBilingual Semantic Parsing Dataset for eleven major Indic languages that includes
68
+ Assamese (‘as’), Gujarat (‘gu’), Kannada (‘kn’),
69
+ Malayalam (‘ml’), Marathi (‘mr’), Odia (‘or’),
70
+ Punjabi (‘pa’), Tamil (‘ta’), Telugu (‘te’), Hindi
71
+ (‘hi’), and Bengali (‘bn’).
72
+
73
+ ### Supported Tasks and Leaderboards
74
+
75
+ **Tasks:** Natural Language Inference
76
+
77
+ **Leaderboards:** Currently there is no Leaderboard for this dataset.
78
+
79
+ ### Languages
80
+
81
+ - `Assamese (as)`
82
+ - `Bengali (bn)`
83
+ - `Gujarati (gu)`
84
+ - `Kannada (kn)`
85
+ - `Hindi (hi)`
86
+ - `Malayalam (ml)`
87
+ - `Marathi (mr)`
88
+ - `Oriya (or)`
89
+ - `Punjabi (pa)`
90
+ - `Tamil (ta)`
91
+ - `Telugu (te)`
92
+
93
+ ...
94
+
95
+
96
+ ### Data Splits
97
+
98
+ <!-- Below is the dataset split given for `hi` dataset.
99
+
100
+ ```python
101
+ DatasetDict({
102
+ train: Dataset({
103
+ features: ['utterance', 'logical form', 'intent'],
104
+ num_rows: 36000
105
+ })
106
+ test: Dataset({
107
+ features: ['utterance', 'logical form', 'intent'],
108
+ num_rows: 3000
109
+ })
110
+ validation: Dataset({
111
+ features: ['utterance', 'logical form', 'intent'],
112
+ num_rows: 1500
113
+ })
114
+ })
115
+
116
+ ``` -->
117
+
118
+ Language | ISO 639-1 Code |Train | Dev | Test |
119
+ --------------|----------------|-------|-----|------|
120
+ Assamese | as | 392,702 | 5,010 | 2,490 |
121
+ Bengali | bn | 392,702 | 5,010 | 2,490 |
122
+ Gujarati | gu | 392,702 | 5,010 | 2,490 |
123
+ Hindi | hi | 392,702 | 5,010 | 2,490 |
124
+ Kannada | kn | 392,702 | 5,010 | 2,490 |
125
+ Malayalam | ml |392,702 | 5,010 | 2,490 |
126
+ Marathi | mr |392,702 | 5,010 | 2,490 |
127
+ Oriya | or | 392,702 | 5,010 | 2,490 |
128
+ Punjabi | pa | 392,702 | 5,010 | 2,490 |
129
+ Tamil | ta | 392,702 | 5,010 | 2,490 |
130
+ Telugu | te | 392,702 | 5,010 | 2,490 |
131
+
132
+ <!-- The dataset split remains same across all languages. -->
133
+
134
+ ## Dataset usage
135
+
136
+ Code snippet for using the dataset using datasets library.
137
+
138
+ ```python
139
+ from datasets import load_dataset
140
+
141
+ dataset = load_dataset("Divyanshu/IE_SemParse")
142
+ ```
143
+
144
+ ## Dataset Creation
145
+
146
+ Machine translation of XNLI english dataset to 11 listed Indic Languages.
147
+
148
+ ### Curation Rationale
149
+
150
+ [More information needed]
151
+
152
+ ### Source Data
153
+
154
+ [mTOP dataset](https://aclanthology.org/2021.eacl-main.257/)
155
+ [multilingualTOP dataset] (<https://github.com/awslabs/multilingual-top>)
156
+ [multi-ATIS++ dataset] (<https://paperswithcode.com/paper/end-to-end-slot-alignment-and-recognition-for>)
157
+
158
+ #### Initial Data Collection and Normalization
159
+
160
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
161
+
162
+ #### Who are the source language producers?
163
+
164
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
165
+
166
+ #### Human Verification Process
167
+
168
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
169
+
170
+ ## Considerations for Using the Data
171
+
172
+ ### Social Impact of Dataset
173
+
174
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
175
+
176
+ ### Discussion of Biases
177
+
178
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
179
+
180
+ ### Other Known Limitations
181
+
182
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
183
+
184
+ ### Dataset Curators
185
+
186
+ Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan
187
+
188
+ ### Licensing Information
189
+
190
+ Contents of this repository are restricted to only non-commercial research purposes under the [Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)](https://creativecommons.org/licenses/by-nc/4.0/). Copyright of the dataset contents belongs to the original copyright holders.
191
+
192
+ ### Citation Information
193
+
194
+ If you use any of the datasets, models or code modules, please cite the following paper:
195
+
196
+ ```
197
+ @misc{https://doi.org/10.48550/arxiv.2204.08776,
198
+ doi = {10.48550/ARXIV.2204.08776},
199
+
200
+ url = {https://arxiv.org/abs/2304.13005},
201
+
202
+ author = {Aggarwal, Divyanshu and Gupta, Vivek and Kunchukuttan, Anoop},
203
+
204
+ keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
205
+
206
+ title = {IE-SemParse: Evaluating Multilingual Inference for Indian Languages},
207
+
208
+ publisher = {arXiv},
209
+
210
+ year = {2022},
211
+
212
+ copyright = {Creative Commons Attribution 4.0 International}
213
+ }
214
+ ```
215
+
216
+ <!-- ### Contributions -->
.history/README_20230707234613.md ADDED
@@ -0,0 +1,216 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ annotations_creators:
3
+ - machine-generated
4
+ language_creators:
5
+ - machine-generated
6
+ language:
7
+ - as
8
+ - bn
9
+ - gu
10
+ - hi
11
+ - kn
12
+ - ml
13
+ - mr
14
+ - or
15
+ - pa
16
+ - ta
17
+ - te
18
+ license:
19
+ - cc0-1.0
20
+ multilinguality:
21
+ - multilingual
22
+ pretty_name: IE-SemParse
23
+ size_categories:
24
+ - 1M<n<10M
25
+ source_datasets:
26
+ - original
27
+ task_categories:
28
+ - text2text-generation
29
+ task_ids:
30
+ - parsing
31
+ ---
32
+
33
+ # Dataset Card for "IE-SemParse"
34
+
35
+ ## Table of Contents
36
+
37
+ - [Dataset Card for "IE-SemParse"](#dataset-card-for-ie-semparse)
38
+ - [Table of Contents](#table-of-contents)
39
+ - [Dataset Description](#dataset-description)
40
+ - [Dataset Summary](#dataset-summary)
41
+ - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
42
+ - [Languages](#languages)
43
+ - [Data Splits](#data-splits)
44
+ - [Dataset usage](#dataset-usage)
45
+ - [Dataset Creation](#dataset-creation)
46
+ - [Curation Rationale](#curation-rationale)
47
+ - [Source Data](#source-data)
48
+ - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
49
+ - [Who are the source language producers?](#who-are-the-source-language-producers)
50
+ - [Human Verification Process](#human-verification-process)
51
+ - [Considerations for Using the Data](#considerations-for-using-the-data)
52
+ - [Social Impact of Dataset](#social-impact-of-dataset)
53
+ - [Discussion of Biases](#discussion-of-biases)
54
+ - [Other Known Limitations](#other-known-limitations)
55
+ - [Dataset Curators](#dataset-curators)
56
+ - [Licensing Information](#licensing-information)
57
+ - [Citation Information](#citation-information)
58
+
59
+ ## Dataset Description
60
+
61
+ - **Homepage:** <https://github.com/divyanshuaggarwal/IE-SemParse>
62
+ - **Paper:** [Evaluating Inter-Bilingual Semantic Parsing for Indian Languages](https://arxiv.org/abs/2304.13005)
63
+ - **Point of Contact:** [Divyanshu Aggarwal](mailto:[email protected])
64
+
65
+ ### Dataset Summary
66
+
67
+ IE-SemParse is an InterBilingual Semantic Parsing Dataset for eleven major Indic languages that includes
68
+ Assamese (‘as’), Gujarat (‘gu’), Kannada (‘kn’),
69
+ Malayalam (‘ml’), Marathi (‘mr’), Odia (‘or’),
70
+ Punjabi (‘pa’), Tamil (‘ta’), Telugu (‘te’), Hindi
71
+ (‘hi’), and Bengali (‘bn’).
72
+
73
+ ### Supported Tasks and Leaderboards
74
+
75
+ **Tasks:** Natural Language Inference
76
+
77
+ **Leaderboards:** Currently there is no Leaderboard for this dataset.
78
+
79
+ ### Languages
80
+
81
+ - `Assamese (as)`
82
+ - `Bengali (bn)`
83
+ - `Gujarati (gu)`
84
+ - `Kannada (kn)`
85
+ - `Hindi (hi)`
86
+ - `Malayalam (ml)`
87
+ - `Marathi (mr)`
88
+ - `Oriya (or)`
89
+ - `Punjabi (pa)`
90
+ - `Tamil (ta)`
91
+ - `Telugu (te)`
92
+
93
+ ...
94
+
95
+
96
+ ### Data Splits
97
+
98
+ <!-- Below is the dataset split given for `hi` dataset.
99
+
100
+ ```python
101
+ DatasetDict({
102
+ train: Dataset({
103
+ features: ['utterance', 'logical form', 'intent'],
104
+ num_rows: 36000
105
+ })
106
+ test: Dataset({
107
+ features: ['utterance', 'logical form', 'intent'],
108
+ num_rows: 3000
109
+ })
110
+ validation: Dataset({
111
+ features: ['utterance', 'logical form', 'intent'],
112
+ num_rows: 1500
113
+ })
114
+ })
115
+
116
+ ``` -->
117
+
118
+ Language | ISO 639-1 Code |Train | Dev | Test |
119
+ --------------|----------------|-------|-----|------|
120
+ Assamese | as | 392,702 | 5,010 | 2,490 |
121
+ Bengali | bn | 392,702 | 5,010 | 2,490 |
122
+ Gujarati | gu | 392,702 | 5,010 | 2,490 |
123
+ Hindi | hi | 392,702 | 5,010 | 2,490 |
124
+ Kannada | kn | 392,702 | 5,010 | 2,490 |
125
+ Malayalam | ml |392,702 | 5,010 | 2,490 |
126
+ Marathi | mr |392,702 | 5,010 | 2,490 |
127
+ Oriya | or | 392,702 | 5,010 | 2,490 |
128
+ Punjabi | pa | 392,702 | 5,010 | 2,490 |
129
+ Tamil | ta | 392,702 | 5,010 | 2,490 |
130
+ Telugu | te | 392,702 | 5,010 | 2,490 |
131
+
132
+ <!-- The dataset split remains same across all languages. -->
133
+
134
+ ## Dataset usage
135
+
136
+ Code snippet for using the dataset using datasets library.
137
+
138
+ ```python
139
+ from datasets import load_dataset
140
+
141
+ dataset = load_dataset("Divyanshu/IE_SemParse")
142
+ ```
143
+
144
+ ## Dataset Creation
145
+
146
+ Machine translation of XNLI english dataset to 11 listed Indic Languages.
147
+
148
+ ### Curation Rationale
149
+
150
+ [More information needed]
151
+
152
+ ### Source Data
153
+
154
+ [mTOP dataset](https://aclanthology.org/2021.eacl-main.257/)
155
+ [multilingualTOP dataset] (https://github.com/awslabs/multilingual-top>)
156
+ [multi-ATIS++ dataset] (<https://paperswithcode.com/paper/end-to-end-slot-alignment-and-recognition-for>)
157
+
158
+ #### Initial Data Collection and Normalization
159
+
160
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
161
+
162
+ #### Who are the source language producers?
163
+
164
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
165
+
166
+ #### Human Verification Process
167
+
168
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
169
+
170
+ ## Considerations for Using the Data
171
+
172
+ ### Social Impact of Dataset
173
+
174
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
175
+
176
+ ### Discussion of Biases
177
+
178
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
179
+
180
+ ### Other Known Limitations
181
+
182
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
183
+
184
+ ### Dataset Curators
185
+
186
+ Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan
187
+
188
+ ### Licensing Information
189
+
190
+ Contents of this repository are restricted to only non-commercial research purposes under the [Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)](https://creativecommons.org/licenses/by-nc/4.0/). Copyright of the dataset contents belongs to the original copyright holders.
191
+
192
+ ### Citation Information
193
+
194
+ If you use any of the datasets, models or code modules, please cite the following paper:
195
+
196
+ ```
197
+ @misc{https://doi.org/10.48550/arxiv.2204.08776,
198
+ doi = {10.48550/ARXIV.2204.08776},
199
+
200
+ url = {https://arxiv.org/abs/2304.13005},
201
+
202
+ author = {Aggarwal, Divyanshu and Gupta, Vivek and Kunchukuttan, Anoop},
203
+
204
+ keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
205
+
206
+ title = {IE-SemParse: Evaluating Multilingual Inference for Indian Languages},
207
+
208
+ publisher = {arXiv},
209
+
210
+ year = {2022},
211
+
212
+ copyright = {Creative Commons Attribution 4.0 International}
213
+ }
214
+ ```
215
+
216
+ <!-- ### Contributions -->
.history/README_20230707234615.md ADDED
@@ -0,0 +1,216 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ annotations_creators:
3
+ - machine-generated
4
+ language_creators:
5
+ - machine-generated
6
+ language:
7
+ - as
8
+ - bn
9
+ - gu
10
+ - hi
11
+ - kn
12
+ - ml
13
+ - mr
14
+ - or
15
+ - pa
16
+ - ta
17
+ - te
18
+ license:
19
+ - cc0-1.0
20
+ multilinguality:
21
+ - multilingual
22
+ pretty_name: IE-SemParse
23
+ size_categories:
24
+ - 1M<n<10M
25
+ source_datasets:
26
+ - original
27
+ task_categories:
28
+ - text2text-generation
29
+ task_ids:
30
+ - parsing
31
+ ---
32
+
33
+ # Dataset Card for "IE-SemParse"
34
+
35
+ ## Table of Contents
36
+
37
+ - [Dataset Card for "IE-SemParse"](#dataset-card-for-ie-semparse)
38
+ - [Table of Contents](#table-of-contents)
39
+ - [Dataset Description](#dataset-description)
40
+ - [Dataset Summary](#dataset-summary)
41
+ - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
42
+ - [Languages](#languages)
43
+ - [Data Splits](#data-splits)
44
+ - [Dataset usage](#dataset-usage)
45
+ - [Dataset Creation](#dataset-creation)
46
+ - [Curation Rationale](#curation-rationale)
47
+ - [Source Data](#source-data)
48
+ - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
49
+ - [Who are the source language producers?](#who-are-the-source-language-producers)
50
+ - [Human Verification Process](#human-verification-process)
51
+ - [Considerations for Using the Data](#considerations-for-using-the-data)
52
+ - [Social Impact of Dataset](#social-impact-of-dataset)
53
+ - [Discussion of Biases](#discussion-of-biases)
54
+ - [Other Known Limitations](#other-known-limitations)
55
+ - [Dataset Curators](#dataset-curators)
56
+ - [Licensing Information](#licensing-information)
57
+ - [Citation Information](#citation-information)
58
+
59
+ ## Dataset Description
60
+
61
+ - **Homepage:** <https://github.com/divyanshuaggarwal/IE-SemParse>
62
+ - **Paper:** [Evaluating Inter-Bilingual Semantic Parsing for Indian Languages](https://arxiv.org/abs/2304.13005)
63
+ - **Point of Contact:** [Divyanshu Aggarwal](mailto:[email protected])
64
+
65
+ ### Dataset Summary
66
+
67
+ IE-SemParse is an InterBilingual Semantic Parsing Dataset for eleven major Indic languages that includes
68
+ Assamese (‘as’), Gujarat (‘gu’), Kannada (‘kn’),
69
+ Malayalam (‘ml’), Marathi (‘mr’), Odia (‘or’),
70
+ Punjabi (‘pa’), Tamil (‘ta’), Telugu (‘te’), Hindi
71
+ (‘hi’), and Bengali (‘bn’).
72
+
73
+ ### Supported Tasks and Leaderboards
74
+
75
+ **Tasks:** Natural Language Inference
76
+
77
+ **Leaderboards:** Currently there is no Leaderboard for this dataset.
78
+
79
+ ### Languages
80
+
81
+ - `Assamese (as)`
82
+ - `Bengali (bn)`
83
+ - `Gujarati (gu)`
84
+ - `Kannada (kn)`
85
+ - `Hindi (hi)`
86
+ - `Malayalam (ml)`
87
+ - `Marathi (mr)`
88
+ - `Oriya (or)`
89
+ - `Punjabi (pa)`
90
+ - `Tamil (ta)`
91
+ - `Telugu (te)`
92
+
93
+ ...
94
+
95
+
96
+ ### Data Splits
97
+
98
+ <!-- Below is the dataset split given for `hi` dataset.
99
+
100
+ ```python
101
+ DatasetDict({
102
+ train: Dataset({
103
+ features: ['utterance', 'logical form', 'intent'],
104
+ num_rows: 36000
105
+ })
106
+ test: Dataset({
107
+ features: ['utterance', 'logical form', 'intent'],
108
+ num_rows: 3000
109
+ })
110
+ validation: Dataset({
111
+ features: ['utterance', 'logical form', 'intent'],
112
+ num_rows: 1500
113
+ })
114
+ })
115
+
116
+ ``` -->
117
+
118
+ Language | ISO 639-1 Code |Train | Dev | Test |
119
+ --------------|----------------|-------|-----|------|
120
+ Assamese | as | 392,702 | 5,010 | 2,490 |
121
+ Bengali | bn | 392,702 | 5,010 | 2,490 |
122
+ Gujarati | gu | 392,702 | 5,010 | 2,490 |
123
+ Hindi | hi | 392,702 | 5,010 | 2,490 |
124
+ Kannada | kn | 392,702 | 5,010 | 2,490 |
125
+ Malayalam | ml |392,702 | 5,010 | 2,490 |
126
+ Marathi | mr |392,702 | 5,010 | 2,490 |
127
+ Oriya | or | 392,702 | 5,010 | 2,490 |
128
+ Punjabi | pa | 392,702 | 5,010 | 2,490 |
129
+ Tamil | ta | 392,702 | 5,010 | 2,490 |
130
+ Telugu | te | 392,702 | 5,010 | 2,490 |
131
+
132
+ <!-- The dataset split remains same across all languages. -->
133
+
134
+ ## Dataset usage
135
+
136
+ Code snippet for using the dataset using datasets library.
137
+
138
+ ```python
139
+ from datasets import load_dataset
140
+
141
+ dataset = load_dataset("Divyanshu/IE_SemParse")
142
+ ```
143
+
144
+ ## Dataset Creation
145
+
146
+ Machine translation of XNLI english dataset to 11 listed Indic Languages.
147
+
148
+ ### Curation Rationale
149
+
150
+ [More information needed]
151
+
152
+ ### Source Data
153
+
154
+ [mTOP dataset](https://aclanthology.org/2021.eacl-main.257/)
155
+ [multilingualTOP dataset] (https://github.com/awslabs/multilingual-top)
156
+ [multi-ATIS++ dataset] (<https://paperswithcode.com/paper/end-to-end-slot-alignment-and-recognition-for>)
157
+
158
+ #### Initial Data Collection and Normalization
159
+
160
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
161
+
162
+ #### Who are the source language producers?
163
+
164
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
165
+
166
+ #### Human Verification Process
167
+
168
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
169
+
170
+ ## Considerations for Using the Data
171
+
172
+ ### Social Impact of Dataset
173
+
174
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
175
+
176
+ ### Discussion of Biases
177
+
178
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
179
+
180
+ ### Other Known Limitations
181
+
182
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
183
+
184
+ ### Dataset Curators
185
+
186
+ Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan
187
+
188
+ ### Licensing Information
189
+
190
+ Contents of this repository are restricted to only non-commercial research purposes under the [Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)](https://creativecommons.org/licenses/by-nc/4.0/). Copyright of the dataset contents belongs to the original copyright holders.
191
+
192
+ ### Citation Information
193
+
194
+ If you use any of the datasets, models or code modules, please cite the following paper:
195
+
196
+ ```
197
+ @misc{https://doi.org/10.48550/arxiv.2204.08776,
198
+ doi = {10.48550/ARXIV.2204.08776},
199
+
200
+ url = {https://arxiv.org/abs/2304.13005},
201
+
202
+ author = {Aggarwal, Divyanshu and Gupta, Vivek and Kunchukuttan, Anoop},
203
+
204
+ keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
205
+
206
+ title = {IE-SemParse: Evaluating Multilingual Inference for Indian Languages},
207
+
208
+ publisher = {arXiv},
209
+
210
+ year = {2022},
211
+
212
+ copyright = {Creative Commons Attribution 4.0 International}
213
+ }
214
+ ```
215
+
216
+ <!-- ### Contributions -->
.history/README_20230707234617.md ADDED
@@ -0,0 +1,216 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ annotations_creators:
3
+ - machine-generated
4
+ language_creators:
5
+ - machine-generated
6
+ language:
7
+ - as
8
+ - bn
9
+ - gu
10
+ - hi
11
+ - kn
12
+ - ml
13
+ - mr
14
+ - or
15
+ - pa
16
+ - ta
17
+ - te
18
+ license:
19
+ - cc0-1.0
20
+ multilinguality:
21
+ - multilingual
22
+ pretty_name: IE-SemParse
23
+ size_categories:
24
+ - 1M<n<10M
25
+ source_datasets:
26
+ - original
27
+ task_categories:
28
+ - text2text-generation
29
+ task_ids:
30
+ - parsing
31
+ ---
32
+
33
+ # Dataset Card for "IE-SemParse"
34
+
35
+ ## Table of Contents
36
+
37
+ - [Dataset Card for "IE-SemParse"](#dataset-card-for-ie-semparse)
38
+ - [Table of Contents](#table-of-contents)
39
+ - [Dataset Description](#dataset-description)
40
+ - [Dataset Summary](#dataset-summary)
41
+ - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
42
+ - [Languages](#languages)
43
+ - [Data Splits](#data-splits)
44
+ - [Dataset usage](#dataset-usage)
45
+ - [Dataset Creation](#dataset-creation)
46
+ - [Curation Rationale](#curation-rationale)
47
+ - [Source Data](#source-data)
48
+ - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
49
+ - [Who are the source language producers?](#who-are-the-source-language-producers)
50
+ - [Human Verification Process](#human-verification-process)
51
+ - [Considerations for Using the Data](#considerations-for-using-the-data)
52
+ - [Social Impact of Dataset](#social-impact-of-dataset)
53
+ - [Discussion of Biases](#discussion-of-biases)
54
+ - [Other Known Limitations](#other-known-limitations)
55
+ - [Dataset Curators](#dataset-curators)
56
+ - [Licensing Information](#licensing-information)
57
+ - [Citation Information](#citation-information)
58
+
59
+ ## Dataset Description
60
+
61
+ - **Homepage:** <https://github.com/divyanshuaggarwal/IE-SemParse>
62
+ - **Paper:** [Evaluating Inter-Bilingual Semantic Parsing for Indian Languages](https://arxiv.org/abs/2304.13005)
63
+ - **Point of Contact:** [Divyanshu Aggarwal](mailto:[email protected])
64
+
65
+ ### Dataset Summary
66
+
67
+ IE-SemParse is an InterBilingual Semantic Parsing Dataset for eleven major Indic languages that includes
68
+ Assamese (‘as’), Gujarat (‘gu’), Kannada (‘kn’),
69
+ Malayalam (‘ml’), Marathi (‘mr’), Odia (‘or’),
70
+ Punjabi (‘pa’), Tamil (‘ta’), Telugu (‘te’), Hindi
71
+ (‘hi’), and Bengali (‘bn’).
72
+
73
+ ### Supported Tasks and Leaderboards
74
+
75
+ **Tasks:** Natural Language Inference
76
+
77
+ **Leaderboards:** Currently there is no Leaderboard for this dataset.
78
+
79
+ ### Languages
80
+
81
+ - `Assamese (as)`
82
+ - `Bengali (bn)`
83
+ - `Gujarati (gu)`
84
+ - `Kannada (kn)`
85
+ - `Hindi (hi)`
86
+ - `Malayalam (ml)`
87
+ - `Marathi (mr)`
88
+ - `Oriya (or)`
89
+ - `Punjabi (pa)`
90
+ - `Tamil (ta)`
91
+ - `Telugu (te)`
92
+
93
+ ...
94
+
95
+
96
+ ### Data Splits
97
+
98
+ <!-- Below is the dataset split given for `hi` dataset.
99
+
100
+ ```python
101
+ DatasetDict({
102
+ train: Dataset({
103
+ features: ['utterance', 'logical form', 'intent'],
104
+ num_rows: 36000
105
+ })
106
+ test: Dataset({
107
+ features: ['utterance', 'logical form', 'intent'],
108
+ num_rows: 3000
109
+ })
110
+ validation: Dataset({
111
+ features: ['utterance', 'logical form', 'intent'],
112
+ num_rows: 1500
113
+ })
114
+ })
115
+
116
+ ``` -->
117
+
118
+ Language | ISO 639-1 Code |Train | Dev | Test |
119
+ --------------|----------------|-------|-----|------|
120
+ Assamese | as | 392,702 | 5,010 | 2,490 |
121
+ Bengali | bn | 392,702 | 5,010 | 2,490 |
122
+ Gujarati | gu | 392,702 | 5,010 | 2,490 |
123
+ Hindi | hi | 392,702 | 5,010 | 2,490 |
124
+ Kannada | kn | 392,702 | 5,010 | 2,490 |
125
+ Malayalam | ml |392,702 | 5,010 | 2,490 |
126
+ Marathi | mr |392,702 | 5,010 | 2,490 |
127
+ Oriya | or | 392,702 | 5,010 | 2,490 |
128
+ Punjabi | pa | 392,702 | 5,010 | 2,490 |
129
+ Tamil | ta | 392,702 | 5,010 | 2,490 |
130
+ Telugu | te | 392,702 | 5,010 | 2,490 |
131
+
132
+ <!-- The dataset split remains same across all languages. -->
133
+
134
+ ## Dataset usage
135
+
136
+ Code snippet for using the dataset using datasets library.
137
+
138
+ ```python
139
+ from datasets import load_dataset
140
+
141
+ dataset = load_dataset("Divyanshu/IE_SemParse")
142
+ ```
143
+
144
+ ## Dataset Creation
145
+
146
+ Machine translation of XNLI english dataset to 11 listed Indic Languages.
147
+
148
+ ### Curation Rationale
149
+
150
+ [More information needed]
151
+
152
+ ### Source Data
153
+
154
+ [mTOP dataset](https://aclanthology.org/2021.eacl-main.257/)
155
+ [multilingualTOP dataset] (https://github.com/awslabs/multilingual-top)
156
+ [multi-ATIS++ dataset] (https://paperswithcode.com/paper/end-to-end-slot-alignment-and-recognition-for>)
157
+
158
+ #### Initial Data Collection and Normalization
159
+
160
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
161
+
162
+ #### Who are the source language producers?
163
+
164
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
165
+
166
+ #### Human Verification Process
167
+
168
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
169
+
170
+ ## Considerations for Using the Data
171
+
172
+ ### Social Impact of Dataset
173
+
174
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
175
+
176
+ ### Discussion of Biases
177
+
178
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
179
+
180
+ ### Other Known Limitations
181
+
182
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
183
+
184
+ ### Dataset Curators
185
+
186
+ Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan
187
+
188
+ ### Licensing Information
189
+
190
+ Contents of this repository are restricted to only non-commercial research purposes under the [Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)](https://creativecommons.org/licenses/by-nc/4.0/). Copyright of the dataset contents belongs to the original copyright holders.
191
+
192
+ ### Citation Information
193
+
194
+ If you use any of the datasets, models or code modules, please cite the following paper:
195
+
196
+ ```
197
+ @misc{https://doi.org/10.48550/arxiv.2204.08776,
198
+ doi = {10.48550/ARXIV.2204.08776},
199
+
200
+ url = {https://arxiv.org/abs/2304.13005},
201
+
202
+ author = {Aggarwal, Divyanshu and Gupta, Vivek and Kunchukuttan, Anoop},
203
+
204
+ keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
205
+
206
+ title = {IE-SemParse: Evaluating Multilingual Inference for Indian Languages},
207
+
208
+ publisher = {arXiv},
209
+
210
+ year = {2022},
211
+
212
+ copyright = {Creative Commons Attribution 4.0 International}
213
+ }
214
+ ```
215
+
216
+ <!-- ### Contributions -->
.history/README_20230707234620.md ADDED
@@ -0,0 +1,216 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ annotations_creators:
3
+ - machine-generated
4
+ language_creators:
5
+ - machine-generated
6
+ language:
7
+ - as
8
+ - bn
9
+ - gu
10
+ - hi
11
+ - kn
12
+ - ml
13
+ - mr
14
+ - or
15
+ - pa
16
+ - ta
17
+ - te
18
+ license:
19
+ - cc0-1.0
20
+ multilinguality:
21
+ - multilingual
22
+ pretty_name: IE-SemParse
23
+ size_categories:
24
+ - 1M<n<10M
25
+ source_datasets:
26
+ - original
27
+ task_categories:
28
+ - text2text-generation
29
+ task_ids:
30
+ - parsing
31
+ ---
32
+
33
+ # Dataset Card for "IE-SemParse"
34
+
35
+ ## Table of Contents
36
+
37
+ - [Dataset Card for "IE-SemParse"](#dataset-card-for-ie-semparse)
38
+ - [Table of Contents](#table-of-contents)
39
+ - [Dataset Description](#dataset-description)
40
+ - [Dataset Summary](#dataset-summary)
41
+ - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
42
+ - [Languages](#languages)
43
+ - [Data Splits](#data-splits)
44
+ - [Dataset usage](#dataset-usage)
45
+ - [Dataset Creation](#dataset-creation)
46
+ - [Curation Rationale](#curation-rationale)
47
+ - [Source Data](#source-data)
48
+ - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
49
+ - [Who are the source language producers?](#who-are-the-source-language-producers)
50
+ - [Human Verification Process](#human-verification-process)
51
+ - [Considerations for Using the Data](#considerations-for-using-the-data)
52
+ - [Social Impact of Dataset](#social-impact-of-dataset)
53
+ - [Discussion of Biases](#discussion-of-biases)
54
+ - [Other Known Limitations](#other-known-limitations)
55
+ - [Dataset Curators](#dataset-curators)
56
+ - [Licensing Information](#licensing-information)
57
+ - [Citation Information](#citation-information)
58
+
59
+ ## Dataset Description
60
+
61
+ - **Homepage:** <https://github.com/divyanshuaggarwal/IE-SemParse>
62
+ - **Paper:** [Evaluating Inter-Bilingual Semantic Parsing for Indian Languages](https://arxiv.org/abs/2304.13005)
63
+ - **Point of Contact:** [Divyanshu Aggarwal](mailto:[email protected])
64
+
65
+ ### Dataset Summary
66
+
67
+ IE-SemParse is an InterBilingual Semantic Parsing Dataset for eleven major Indic languages that includes
68
+ Assamese (‘as’), Gujarat (‘gu’), Kannada (‘kn’),
69
+ Malayalam (‘ml’), Marathi (‘mr’), Odia (‘or’),
70
+ Punjabi (‘pa’), Tamil (‘ta’), Telugu (‘te’), Hindi
71
+ (‘hi’), and Bengali (‘bn’).
72
+
73
+ ### Supported Tasks and Leaderboards
74
+
75
+ **Tasks:** Natural Language Inference
76
+
77
+ **Leaderboards:** Currently there is no Leaderboard for this dataset.
78
+
79
+ ### Languages
80
+
81
+ - `Assamese (as)`
82
+ - `Bengali (bn)`
83
+ - `Gujarati (gu)`
84
+ - `Kannada (kn)`
85
+ - `Hindi (hi)`
86
+ - `Malayalam (ml)`
87
+ - `Marathi (mr)`
88
+ - `Oriya (or)`
89
+ - `Punjabi (pa)`
90
+ - `Tamil (ta)`
91
+ - `Telugu (te)`
92
+
93
+ ...
94
+
95
+
96
+ ### Data Splits
97
+
98
+ <!-- Below is the dataset split given for `hi` dataset.
99
+
100
+ ```python
101
+ DatasetDict({
102
+ train: Dataset({
103
+ features: ['utterance', 'logical form', 'intent'],
104
+ num_rows: 36000
105
+ })
106
+ test: Dataset({
107
+ features: ['utterance', 'logical form', 'intent'],
108
+ num_rows: 3000
109
+ })
110
+ validation: Dataset({
111
+ features: ['utterance', 'logical form', 'intent'],
112
+ num_rows: 1500
113
+ })
114
+ })
115
+
116
+ ``` -->
117
+
118
+ Language | ISO 639-1 Code |Train | Dev | Test |
119
+ --------------|----------------|-------|-----|------|
120
+ Assamese | as | 392,702 | 5,010 | 2,490 |
121
+ Bengali | bn | 392,702 | 5,010 | 2,490 |
122
+ Gujarati | gu | 392,702 | 5,010 | 2,490 |
123
+ Hindi | hi | 392,702 | 5,010 | 2,490 |
124
+ Kannada | kn | 392,702 | 5,010 | 2,490 |
125
+ Malayalam | ml |392,702 | 5,010 | 2,490 |
126
+ Marathi | mr |392,702 | 5,010 | 2,490 |
127
+ Oriya | or | 392,702 | 5,010 | 2,490 |
128
+ Punjabi | pa | 392,702 | 5,010 | 2,490 |
129
+ Tamil | ta | 392,702 | 5,010 | 2,490 |
130
+ Telugu | te | 392,702 | 5,010 | 2,490 |
131
+
132
+ <!-- The dataset split remains same across all languages. -->
133
+
134
+ ## Dataset usage
135
+
136
+ Code snippet for using the dataset using datasets library.
137
+
138
+ ```python
139
+ from datasets import load_dataset
140
+
141
+ dataset = load_dataset("Divyanshu/IE_SemParse")
142
+ ```
143
+
144
+ ## Dataset Creation
145
+
146
+ Machine translation of XNLI english dataset to 11 listed Indic Languages.
147
+
148
+ ### Curation Rationale
149
+
150
+ [More information needed]
151
+
152
+ ### Source Data
153
+
154
+ [mTOP dataset](https://aclanthology.org/2021.eacl-main.257/)
155
+ [multilingualTOP dataset] (https://github.com/awslabs/multilingual-top)
156
+ [multi-ATIS++ dataset] (https://paperswithcode.com/paper/end-to-end-slot-alignment-and-recognition-for)
157
+
158
+ #### Initial Data Collection and Normalization
159
+
160
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
161
+
162
+ #### Who are the source language producers?
163
+
164
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
165
+
166
+ #### Human Verification Process
167
+
168
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
169
+
170
+ ## Considerations for Using the Data
171
+
172
+ ### Social Impact of Dataset
173
+
174
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
175
+
176
+ ### Discussion of Biases
177
+
178
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
179
+
180
+ ### Other Known Limitations
181
+
182
+ [Detailed in the paper](https://arxiv.org/abs/2304.13005)
183
+
184
+ ### Dataset Curators
185
+
186
+ Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan
187
+
188
+ ### Licensing Information
189
+
190
+ Contents of this repository are restricted to only non-commercial research purposes under the [Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)](https://creativecommons.org/licenses/by-nc/4.0/). Copyright of the dataset contents belongs to the original copyright holders.
191
+
192
+ ### Citation Information
193
+
194
+ If you use any of the datasets, models or code modules, please cite the following paper:
195
+
196
+ ```
197
+ @misc{https://doi.org/10.48550/arxiv.2204.08776,
198
+ doi = {10.48550/ARXIV.2204.08776},
199
+
200
+ url = {https://arxiv.org/abs/2304.13005},
201
+
202
+ author = {Aggarwal, Divyanshu and Gupta, Vivek and Kunchukuttan, Anoop},
203
+
204
+ keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
205
+
206
+ title = {IE-SemParse: Evaluating Multilingual Inference for Indian Languages},
207
+
208
+ publisher = {arXiv},
209
+
210
+ year = {2022},
211
+
212
+ copyright = {Creative Commons Attribution 4.0 International}
213
+ }
214
+ ```
215
+
216
+ <!-- ### Contributions -->
README.md CHANGED
@@ -138,7 +138,7 @@ Code snippet for using the dataset using datasets library.
138
  ```python
139
  from datasets import load_dataset
140
 
141
- dataset = load_dataset("Divyanshu/indicxnli")
142
  ```
143
 
144
  ## Dataset Creation
@@ -151,7 +151,9 @@ Machine translation of XNLI english dataset to 11 listed Indic Languages.
151
 
152
  ### Source Data
153
 
154
- [XNLI dataset](https://cims.nyu.edu/~sbowman/xnli/)
 
 
155
 
156
  #### Initial Data Collection and Normalization
157
 
 
138
  ```python
139
  from datasets import load_dataset
140
 
141
+ dataset = load_dataset("Divyanshu/IE_SemParse")
142
  ```
143
 
144
  ## Dataset Creation
 
151
 
152
  ### Source Data
153
 
154
+ [mTOP dataset](https://aclanthology.org/2021.eacl-main.257/)
155
+ [multilingualTOP dataset] (https://github.com/awslabs/multilingual-top)
156
+ [multi-ATIS++ dataset] (https://paperswithcode.com/paper/end-to-end-slot-alignment-and-recognition-for)
157
 
158
  #### Initial Data Collection and Normalization
159