update

.history/README_20230707234655.md

@@ -0,0 +1,218 @@
+---
+annotations_creators:
+- machine-generated
+language_creators:
+- machine-generated
+language:
+- as
+- bn
+- gu
+- hi
+- kn
+- ml
+- mr
+- or
+- pa
+- ta
+- te
+license:
+- cc0-1.0
+multilinguality:
+- multilingual
+pretty_name: IE-SemParse
+size_categories:
+- 1M<n<10M
+source_datasets:
+- original
+task_categories:
+-  text2text-generation
+task_ids:
+- parsing
+---
+
+# Dataset Card for "IE-SemParse"
+
+## Table of Contents
+
+- [Dataset Card for "IE-SemParse"](#dataset-card-for-ie-semparse)
+  - [Table of Contents](#table-of-contents)
+  - [Dataset Description](#dataset-description)
+    - [Dataset Summary](#dataset-summary)
+    - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+    - [Languages](#languages)
+    - [Data Splits](#data-splits)
+  - [Dataset usage](#dataset-usage)
+  - [Dataset Creation](#dataset-creation)
+    - [Curation Rationale](#curation-rationale)
+    - [Source Data](#source-data)
+      - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
+      - [Who are the source language producers?](#who-are-the-source-language-producers)
+      - [Human Verification Process](#human-verification-process)
+  - [Considerations for Using the Data](#considerations-for-using-the-data)
+    - [Social Impact of Dataset](#social-impact-of-dataset)
+    - [Discussion of Biases](#discussion-of-biases)
+    - [Other Known Limitations](#other-known-limitations)
+    - [Dataset Curators](#dataset-curators)
+    - [Licensing Information](#licensing-information)
+    - [Citation Information](#citation-information)
+
+## Dataset Description
+
+- **Homepage:** <https://github.com/divyanshuaggarwal/IE-SemParse>
+- **Paper:** [Evaluating Inter-Bilingual Semantic Parsing for Indian Languages](https://arxiv.org/abs/2304.13005)
+- **Point of Contact:** [Divyanshu Aggarwal](mailto:divyanshuggrwl@gmail.com)
+
+### Dataset Summary
+
+IE-SemParse is an InterBilingual Semantic Parsing Dataset for eleven major Indic languages that includes
+Assamese (‘as’), Gujarat (‘gu’), Kannada (‘kn’),
+Malayalam (‘ml’), Marathi (‘mr’), Odia (‘or’),
+Punjabi (‘pa’), Tamil (‘ta’), Telugu (‘te’), Hindi
+(‘hi’), and Bengali (‘bn’).
+
+### Supported Tasks and Leaderboards
+
+**Tasks:** Natural Language Inference
+
+**Leaderboards:** Currently there is no Leaderboard for this dataset.
+
+### Languages
+
+- `Assamese (as)`
+- `Bengali (bn)`
+- `Gujarati (gu)`
+- `Kannada (kn)`
+- `Hindi (hi)`
+- `Malayalam (ml)`
+- `Marathi (mr)`
+- `Oriya (or)`
+- `Punjabi (pa)`
+- `Tamil (ta)`
+- `Telugu (te)`
+
+...
+
+
+### Data Splits
+
+<!-- Below is the dataset split given for `hi` dataset.
+
+```python
+DatasetDict({
+    train: Dataset({
+        features: ['utterance', 'logical form', 'intent'],
+        num_rows: 36000
+    })
+    test: Dataset({
+        features: ['utterance', 'logical form', 'intent'],
+        num_rows: 3000
+    })
+    validation: Dataset({
+        features: ['utterance', 'logical form', 'intent'],
+        num_rows: 1500
+    })
+})
+
+``` -->
+
+Language      | ISO 639-1 Code |Train | Dev | Test |
+--------------|----------------|-------|-----|------|
+Assamese | as | 392,702 | 5,010 | 2,490 |
+Bengali | bn | 392,702 | 5,010 | 2,490 |
+Gujarati | gu |  392,702 | 5,010 | 2,490 |
+Hindi | hi | 392,702 | 5,010 | 2,490 |
+Kannada | kn |  392,702 | 5,010 | 2,490 |
+Malayalam | ml |392,702  | 5,010 | 2,490 |
+Marathi | mr |392,702 | 5,010 | 2,490 |
+Oriya | or | 392,702 | 5,010 | 2,490 |
+Punjabi | pa | 392,702 | 5,010 | 2,490 |
+Tamil | ta | 392,702 | 5,010 | 2,490 |
+Telugu | te | 392,702 | 5,010 | 2,490 |
+
+<!-- The dataset split remains same across all languages. -->
+
+## Dataset usage
+
+Code snippet for using the dataset using datasets library.
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("Divyanshu/IE_SemParse")
+```
+
+## Dataset Creation
+
+Machine translation of XNLI english dataset to 11 listed Indic Languages.
+
+### Curation Rationale
+
+[More information needed]
+
+### Source Data
+
+[mTOP dataset](https://aclanthology.org/2021.eacl-main.257/)
+
+[multilingualTOP dataset] (https://github.com/awslabs/multilingual-top)
+
+[multi-ATIS++ dataset] (https://paperswithcode.com/paper/end-to-end-slot-alignment-and-recognition-for)
+
+#### Initial Data Collection and Normalization
+
+[Detailed in the paper](https://arxiv.org/abs/2304.13005)
+
+#### Who are the source language producers?
+
+[Detailed in the paper](https://arxiv.org/abs/2304.13005)
+
+#### Human Verification Process
+
+[Detailed in the paper](https://arxiv.org/abs/2304.13005)
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[Detailed in the paper](https://arxiv.org/abs/2304.13005)
+
+### Discussion of Biases
+
+[Detailed in the paper](https://arxiv.org/abs/2304.13005)
+
+### Other Known Limitations
+
+[Detailed in the paper](https://arxiv.org/abs/2304.13005)
+
+### Dataset Curators
+
+Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan
+
+### Licensing Information
+
+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.
+
+### Citation Information
+
+If you use any of the datasets, models or code modules, please cite the following paper:
+
+```
+@misc{https://doi.org/10.48550/arxiv.2204.08776,
+  doi = {10.48550/ARXIV.2204.08776},
+  
+  url = {https://arxiv.org/abs/2304.13005},
+  
+  author = {Aggarwal, Divyanshu and Gupta, Vivek and Kunchukuttan, Anoop},
+  
+  keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
+  
+  title = {IE-SemParse: Evaluating Multilingual Inference for Indian Languages}, 
+  
+  publisher = {arXiv},
+  
+  year = {2022},
+  
+  copyright = {Creative Commons Attribution 4.0 International}
+}
+```
+
+<!-- ### Contributions -->

.history/README_20230707234659.md

@@ -0,0 +1,218 @@
+---
+annotations_creators:
+- machine-generated
+language_creators:
+- machine-generated
+language:
+- as
+- bn
+- gu
+- hi
+- kn
+- ml
+- mr
+- or
+- pa
+- ta
+- te
+license:
+- cc0-1.0
+multilinguality:
+- multilingual
+pretty_name: IE-SemParse
+size_categories:
+- 1M<n<10M
+source_datasets:
+- original
+task_categories:
+-  text2text-generation
+task_ids:
+- parsing
+---
+
+# Dataset Card for "IE-SemParse"
+
+## Table of Contents
+
+- [Dataset Card for "IE-SemParse"](#dataset-card-for-ie-semparse)
+  - [Table of Contents](#table-of-contents)
+  - [Dataset Description](#dataset-description)
+    - [Dataset Summary](#dataset-summary)
+    - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+    - [Languages](#languages)
+    - [Data Splits](#data-splits)
+  - [Dataset usage](#dataset-usage)
+  - [Dataset Creation](#dataset-creation)
+    - [Curation Rationale](#curation-rationale)
+    - [Source Data](#source-data)
+      - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
+      - [Who are the source language producers?](#who-are-the-source-language-producers)
+      - [Human Verification Process](#human-verification-process)
+  - [Considerations for Using the Data](#considerations-for-using-the-data)
+    - [Social Impact of Dataset](#social-impact-of-dataset)
+    - [Discussion of Biases](#discussion-of-biases)
+    - [Other Known Limitations](#other-known-limitations)
+    - [Dataset Curators](#dataset-curators)
+    - [Licensing Information](#licensing-information)
+    - [Citation Information](#citation-information)
+
+## Dataset Description
+
+- **Homepage:** <https://github.com/divyanshuaggarwal/IE-SemParse>
+- **Paper:** [Evaluating Inter-Bilingual Semantic Parsing for Indian Languages](https://arxiv.org/abs/2304.13005)
+- **Point of Contact:** [Divyanshu Aggarwal](mailto:divyanshuggrwl@gmail.com)
+
+### Dataset Summary
+
+IE-SemParse is an InterBilingual Semantic Parsing Dataset for eleven major Indic languages that includes
+Assamese (‘as’), Gujarat (‘gu’), Kannada (‘kn’),
+Malayalam (‘ml’), Marathi (‘mr’), Odia (‘or’),
+Punjabi (‘pa’), Tamil (‘ta’), Telugu (‘te’), Hindi
+(‘hi’), and Bengali (‘bn’).
+
+### Supported Tasks and Leaderboards
+
+**Tasks:** Natural Language Inference
+
+**Leaderboards:** Currently there is no Leaderboard for this dataset.
+
+### Languages
+
+- `Assamese (as)`
+- `Bengali (bn)`
+- `Gujarati (gu)`
+- `Kannada (kn)`
+- `Hindi (hi)`
+- `Malayalam (ml)`
+- `Marathi (mr)`
+- `Oriya (or)`
+- `Punjabi (pa)`
+- `Tamil (ta)`
+- `Telugu (te)`
+
+...
+
+
+### Data Splits
+
+<!-- Below is the dataset split given for `hi` dataset.
+
+```python
+DatasetDict({
+    train: Dataset({
+        features: ['utterance', 'logical form', 'intent'],
+        num_rows: 36000
+    })
+    test: Dataset({
+        features: ['utterance', 'logical form', 'intent'],
+        num_rows: 3000
+    })
+    validation: Dataset({
+        features: ['utterance', 'logical form', 'intent'],
+        num_rows: 1500
+    })
+})
+
+``` -->
+
+Language      | ISO 639-1 Code |Train | Dev | Test |
+--------------|----------------|-------|-----|------|
+Assamese | as | 392,702 | 5,010 | 2,490 |
+Bengali | bn | 392,702 | 5,010 | 2,490 |
+Gujarati | gu |  392,702 | 5,010 | 2,490 |
+Hindi | hi | 392,702 | 5,010 | 2,490 |
+Kannada | kn |  392,702 | 5,010 | 2,490 |
+Malayalam | ml |392,702  | 5,010 | 2,490 |
+Marathi | mr |392,702 | 5,010 | 2,490 |
+Oriya | or | 392,702 | 5,010 | 2,490 |
+Punjabi | pa | 392,702 | 5,010 | 2,490 |
+Tamil | ta | 392,702 | 5,010 | 2,490 |
+Telugu | te | 392,702 | 5,010 | 2,490 |
+
+<!-- The dataset split remains same across all languages. -->
+
+## Dataset usage
+
+Code snippet for using the dataset using datasets library.
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("Divyanshu/IE_SemParse")
+```
+
+## Dataset Creation
+
+Machine translation of XNLI english dataset to 11 listed Indic Languages.
+
+### Curation Rationale
+
+[More information needed]
+
+### Source Data
+
+[mTOP dataset](https://aclanthology.org/2021.eacl-main.257/)
+
+[multilingualTOP dataset](https://github.com/awslabs/multilingual-top)
+
+[multi-ATIS++ dataset] (https://paperswithcode.com/paper/end-to-end-slot-alignment-and-recognition-for)
+
+#### Initial Data Collection and Normalization
+
+[Detailed in the paper](https://arxiv.org/abs/2304.13005)
+
+#### Who are the source language producers?
+
+[Detailed in the paper](https://arxiv.org/abs/2304.13005)
+
+#### Human Verification Process
+
+[Detailed in the paper](https://arxiv.org/abs/2304.13005)
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[Detailed in the paper](https://arxiv.org/abs/2304.13005)
+
+### Discussion of Biases
+
+[Detailed in the paper](https://arxiv.org/abs/2304.13005)
+
+### Other Known Limitations
+
+[Detailed in the paper](https://arxiv.org/abs/2304.13005)
+
+### Dataset Curators
+
+Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan
+
+### Licensing Information
+
+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.
+
+### Citation Information
+
+If you use any of the datasets, models or code modules, please cite the following paper:
+
+```
+@misc{https://doi.org/10.48550/arxiv.2204.08776,
+  doi = {10.48550/ARXIV.2204.08776},
+  
+  url = {https://arxiv.org/abs/2304.13005},
+  
+  author = {Aggarwal, Divyanshu and Gupta, Vivek and Kunchukuttan, Anoop},
+  
+  keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
+  
+  title = {IE-SemParse: Evaluating Multilingual Inference for Indian Languages}, 
+  
+  publisher = {arXiv},
+  
+  year = {2022},
+  
+  copyright = {Creative Commons Attribution 4.0 International}
+}
+```
+
+<!-- ### Contributions -->

.history/README_20230707234704.md

@@ -0,0 +1,218 @@
+---
+annotations_creators:
+- machine-generated
+language_creators:
+- machine-generated
+language:
+- as
+- bn
+- gu
+- hi
+- kn
+- ml
+- mr
+- or
+- pa
+- ta
+- te
+license:
+- cc0-1.0
+multilinguality:
+- multilingual
+pretty_name: IE-SemParse
+size_categories:
+- 1M<n<10M
+source_datasets:
+- original
+task_categories:
+-  text2text-generation
+task_ids:
+- parsing
+---
+
+# Dataset Card for "IE-SemParse"
+
+## Table of Contents
+
+- [Dataset Card for "IE-SemParse"](#dataset-card-for-ie-semparse)
+  - [Table of Contents](#table-of-contents)
+  - [Dataset Description](#dataset-description)
+    - [Dataset Summary](#dataset-summary)
+    - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+    - [Languages](#languages)
+    - [Data Splits](#data-splits)
+  - [Dataset usage](#dataset-usage)
+  - [Dataset Creation](#dataset-creation)
+    - [Curation Rationale](#curation-rationale)
+    - [Source Data](#source-data)
+      - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
+      - [Who are the source language producers?](#who-are-the-source-language-producers)
+      - [Human Verification Process](#human-verification-process)
+  - [Considerations for Using the Data](#considerations-for-using-the-data)
+    - [Social Impact of Dataset](#social-impact-of-dataset)
+    - [Discussion of Biases](#discussion-of-biases)
+    - [Other Known Limitations](#other-known-limitations)
+    - [Dataset Curators](#dataset-curators)
+    - [Licensing Information](#licensing-information)
+    - [Citation Information](#citation-information)
+
+## Dataset Description
+
+- **Homepage:** <https://github.com/divyanshuaggarwal/IE-SemParse>
+- **Paper:** [Evaluating Inter-Bilingual Semantic Parsing for Indian Languages](https://arxiv.org/abs/2304.13005)
+- **Point of Contact:** [Divyanshu Aggarwal](mailto:divyanshuggrwl@gmail.com)
+
+### Dataset Summary
+
+IE-SemParse is an InterBilingual Semantic Parsing Dataset for eleven major Indic languages that includes
+Assamese (‘as’), Gujarat (‘gu’), Kannada (‘kn’),
+Malayalam (‘ml’), Marathi (‘mr’), Odia (‘or’),
+Punjabi (‘pa’), Tamil (‘ta’), Telugu (‘te’), Hindi
+(‘hi’), and Bengali (‘bn’).
+
+### Supported Tasks and Leaderboards
+
+**Tasks:** Natural Language Inference
+
+**Leaderboards:** Currently there is no Leaderboard for this dataset.
+
+### Languages
+
+- `Assamese (as)`
+- `Bengali (bn)`
+- `Gujarati (gu)`
+- `Kannada (kn)`
+- `Hindi (hi)`
+- `Malayalam (ml)`
+- `Marathi (mr)`
+- `Oriya (or)`
+- `Punjabi (pa)`
+- `Tamil (ta)`
+- `Telugu (te)`
+
+...
+
+
+### Data Splits
+
+<!-- Below is the dataset split given for `hi` dataset.
+
+```python
+DatasetDict({
+    train: Dataset({
+        features: ['utterance', 'logical form', 'intent'],
+        num_rows: 36000
+    })
+    test: Dataset({
+        features: ['utterance', 'logical form', 'intent'],
+        num_rows: 3000
+    })
+    validation: Dataset({
+        features: ['utterance', 'logical form', 'intent'],
+        num_rows: 1500
+    })
+})
+
+``` -->
+
+Language      | ISO 639-1 Code |Train | Dev | Test |
+--------------|----------------|-------|-----|------|
+Assamese | as | 392,702 | 5,010 | 2,490 |
+Bengali | bn | 392,702 | 5,010 | 2,490 |
+Gujarati | gu |  392,702 | 5,010 | 2,490 |
+Hindi | hi | 392,702 | 5,010 | 2,490 |
+Kannada | kn |  392,702 | 5,010 | 2,490 |
+Malayalam | ml |392,702  | 5,010 | 2,490 |
+Marathi | mr |392,702 | 5,010 | 2,490 |
+Oriya | or | 392,702 | 5,010 | 2,490 |
+Punjabi | pa | 392,702 | 5,010 | 2,490 |
+Tamil | ta | 392,702 | 5,010 | 2,490 |
+Telugu | te | 392,702 | 5,010 | 2,490 |
+
+<!-- The dataset split remains same across all languages. -->
+
+## Dataset usage
+
+Code snippet for using the dataset using datasets library.
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("Divyanshu/IE_SemParse")
+```
+
+## Dataset Creation
+
+Machine translation of XNLI english dataset to 11 listed Indic Languages.
+
+### Curation Rationale
+
+[More information needed]
+
+### Source Data
+
+[mTOP dataset](https://aclanthology.org/2021.eacl-main.257/)
+
+[multilingualTOP dataset](https://github.com/awslabs/multilingual-top)
+
+[multi-ATIS++ dataset](https://paperswithcode.com/paper/end-to-end-slot-alignment-and-recognition-for)
+
+#### Initial Data Collection and Normalization
+
+[Detailed in the paper](https://arxiv.org/abs/2304.13005)
+
+#### Who are the source language producers?
+
+[Detailed in the paper](https://arxiv.org/abs/2304.13005)
+
+#### Human Verification Process
+
+[Detailed in the paper](https://arxiv.org/abs/2304.13005)
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[Detailed in the paper](https://arxiv.org/abs/2304.13005)
+
+### Discussion of Biases
+
+[Detailed in the paper](https://arxiv.org/abs/2304.13005)
+
+### Other Known Limitations
+
+[Detailed in the paper](https://arxiv.org/abs/2304.13005)
+
+### Dataset Curators
+
+Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan
+
+### Licensing Information
+
+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.
+
+### Citation Information
+
+If you use any of the datasets, models or code modules, please cite the following paper:
+
+```
+@misc{https://doi.org/10.48550/arxiv.2204.08776,
+  doi = {10.48550/ARXIV.2204.08776},
+  
+  url = {https://arxiv.org/abs/2304.13005},
+  
+  author = {Aggarwal, Divyanshu and Gupta, Vivek and Kunchukuttan, Anoop},
+  
+  keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
+  
+  title = {IE-SemParse: Evaluating Multilingual Inference for Indian Languages}, 
+  
+  publisher = {arXiv},
+  
+  year = {2022},
+  
+  copyright = {Creative Commons Attribution 4.0 International}
+}
+```
+
+<!-- ### Contributions -->

.history/README_20230707234722.md

@@ -0,0 +1,205 @@
+---
+annotations_creators:
+- machine-generated
+language_creators:
+- machine-generated
+language:
+- as
+- bn
+- gu
+- hi
+- kn
+- ml
+- mr
+- or
+- pa
+- ta
+- te
+license:
+- cc0-1.0
+multilinguality:
+- multilingual
+pretty_name: IE-SemParse
+size_categories:
+- 1M<n<10M
+source_datasets:
+- original
+task_categories:
+-  text2text-generation
+task_ids:
+- parsing
+---
+
+# Dataset Card for "IE-SemParse"
+
+## Table of Contents
+
+- [Dataset Card for "IE-SemParse"](#dataset-card-for-ie-semparse)
+  - [Table of Contents](#table-of-contents)
+  - [Dataset Description](#dataset-description)
+    - [Dataset Summary](#dataset-summary)
+    - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+    - [Languages](#languages)
+    - [Data Splits](#data-splits)
+  - [Dataset usage](#dataset-usage)
+  - [Dataset Creation](#dataset-creation)
+    - [Curation Rationale](#curation-rationale)
+    - [Source Data](#source-data)
+      - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
+      - [Who are the source language producers?](#who-are-the-source-language-producers)
+      - [Human Verification Process](#human-verification-process)
+  - [Considerations for Using the Data](#considerations-for-using-the-data)
+    - [Social Impact of Dataset](#social-impact-of-dataset)
+    - [Discussion of Biases](#discussion-of-biases)
+    - [Other Known Limitations](#other-known-limitations)
+    - [Dataset Curators](#dataset-curators)
+    - [Licensing Information](#licensing-information)
+    - [Citation Information](#citation-information)
+
+## Dataset Description
+
+- **Homepage:** <https://github.com/divyanshuaggarwal/IE-SemParse>
+- **Paper:** [Evaluating Inter-Bilingual Semantic Parsing for Indian Languages](https://arxiv.org/abs/2304.13005)
+- **Point of Contact:** [Divyanshu Aggarwal](mailto:divyanshuggrwl@gmail.com)
+
+### Dataset Summary
+
+IE-SemParse is an InterBilingual Semantic Parsing Dataset for eleven major Indic languages that includes
+Assamese (‘as’), Gujarat (‘gu’), Kannada (‘kn’),
+Malayalam (‘ml’), Marathi (‘mr’), Odia (‘or’),
+Punjabi (‘pa’), Tamil (‘ta’), Telugu (‘te’), Hindi
+(‘hi’), and Bengali (‘bn’).
+
+### Supported Tasks and Leaderboards
+
+**Tasks:** Natural Language Inference
+
+**Leaderboards:** Currently there is no Leaderboard for this dataset.
+
+### Languages
+
+- `Assamese (as)`
+- `Bengali (bn)`
+- `Gujarati (gu)`
+- `Kannada (kn)`
+- `Hindi (hi)`
+- `Malayalam (ml)`
+- `Marathi (mr)`
+- `Oriya (or)`
+- `Punjabi (pa)`
+- `Tamil (ta)`
+- `Telugu (te)`
+
+...
+
+
+### Data Splits
+
+<!-- Below is the dataset split given for `hi` dataset.
+
+```python
+DatasetDict({
+    train: Dataset({
+        features: ['utterance', 'logical form', 'intent'],
+        num_rows: 36000
+    })
+    test: Dataset({
+        features: ['utterance', 'logical form', 'intent'],
+        num_rows: 3000
+    })
+    validation: Dataset({
+        features: ['utterance', 'logical form', 'intent'],
+        num_rows: 1500
+    })
+})
+
+``` -->
+
+
+<!-- The dataset split remains same across all languages. -->
+
+## Dataset usage
+
+Code snippet for using the dataset using datasets library.
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("Divyanshu/IE_SemParse")
+```
+
+## Dataset Creation
+
+Machine translation of XNLI english dataset to 11 listed Indic Languages.
+
+### Curation Rationale
+
+[More information needed]
+
+### Source Data
+
+[mTOP dataset](https://aclanthology.org/2021.eacl-main.257/)
+
+[multilingualTOP dataset](https://github.com/awslabs/multilingual-top)
+
+[multi-ATIS++ dataset](https://paperswithcode.com/paper/end-to-end-slot-alignment-and-recognition-for)
+
+#### Initial Data Collection and Normalization
+
+[Detailed in the paper](https://arxiv.org/abs/2304.13005)
+
+#### Who are the source language producers?
+
+[Detailed in the paper](https://arxiv.org/abs/2304.13005)
+
+#### Human Verification Process
+
+[Detailed in the paper](https://arxiv.org/abs/2304.13005)
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[Detailed in the paper](https://arxiv.org/abs/2304.13005)
+
+### Discussion of Biases
+
+[Detailed in the paper](https://arxiv.org/abs/2304.13005)
+
+### Other Known Limitations
+
+[Detailed in the paper](https://arxiv.org/abs/2304.13005)
+
+### Dataset Curators
+
+Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan
+
+### Licensing Information
+
+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.
+
+### Citation Information
+
+If you use any of the datasets, models or code modules, please cite the following paper:
+
+```
+@misc{https://doi.org/10.48550/arxiv.2204.08776,
+  doi = {10.48550/ARXIV.2204.08776},
+  
+  url = {https://arxiv.org/abs/2304.13005},
+  
+  author = {Aggarwal, Divyanshu and Gupta, Vivek and Kunchukuttan, Anoop},
+  
+  keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
+  
+  title = {IE-SemParse: Evaluating Multilingual Inference for Indian Languages}, 
+  
+  publisher = {arXiv},
+  
+  year = {2022},
+  
+  copyright = {Creative Commons Attribution 4.0 International}
+}
+```
+
+<!-- ### Contributions -->

.history/README_20230707234724.md

@@ -0,0 +1,203 @@
+---
+annotations_creators:
+- machine-generated
+language_creators:
+- machine-generated
+language:
+- as
+- bn
+- gu
+- hi
+- kn
+- ml
+- mr
+- or
+- pa
+- ta
+- te
+license:
+- cc0-1.0
+multilinguality:
+- multilingual
+pretty_name: IE-SemParse
+size_categories:
+- 1M<n<10M
+source_datasets:
+- original
+task_categories:
+-  text2text-generation
+task_ids:
+- parsing
+---
+
+# Dataset Card for "IE-SemParse"
+
+## Table of Contents
+
+- [Dataset Card for "IE-SemParse"](#dataset-card-for-ie-semparse)
+  - [Table of Contents](#table-of-contents)
+  - [Dataset Description](#dataset-description)
+    - [Dataset Summary](#dataset-summary)
+    - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+    - [Languages](#languages)
+    - [Data Splits](#data-splits)
+  - [Dataset usage](#dataset-usage)
+  - [Dataset Creation](#dataset-creation)
+    - [Curation Rationale](#curation-rationale)
+    - [Source Data](#source-data)
+      - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
+      - [Who are the source language producers?](#who-are-the-source-language-producers)
+      - [Human Verification Process](#human-verification-process)
+  - [Considerations for Using the Data](#considerations-for-using-the-data)
+    - [Social Impact of Dataset](#social-impact-of-dataset)
+    - [Discussion of Biases](#discussion-of-biases)
+    - [Other Known Limitations](#other-known-limitations)
+    - [Dataset Curators](#dataset-curators)
+    - [Licensing Information](#licensing-information)
+    - [Citation Information](#citation-information)
+
+## Dataset Description
+
+- **Homepage:** <https://github.com/divyanshuaggarwal/IE-SemParse>
+- **Paper:** [Evaluating Inter-Bilingual Semantic Parsing for Indian Languages](https://arxiv.org/abs/2304.13005)
+- **Point of Contact:** [Divyanshu Aggarwal](mailto:divyanshuggrwl@gmail.com)
+
+### Dataset Summary
+
+IE-SemParse is an InterBilingual Semantic Parsing Dataset for eleven major Indic languages that includes
+Assamese (‘as’), Gujarat (‘gu’), Kannada (‘kn’),
+Malayalam (‘ml’), Marathi (‘mr’), Odia (‘or’),
+Punjabi (‘pa’), Tamil (‘ta’), Telugu (‘te’), Hindi
+(‘hi’), and Bengali (‘bn’).
+
+### Supported Tasks and Leaderboards
+
+**Tasks:** Natural Language Inference
+
+**Leaderboards:** Currently there is no Leaderboard for this dataset.
+
+### Languages
+
+- `Assamese (as)`
+- `Bengali (bn)`
+- `Gujarati (gu)`
+- `Kannada (kn)`
+- `Hindi (hi)`
+- `Malayalam (ml)`
+- `Marathi (mr)`
+- `Oriya (or)`
+- `Punjabi (pa)`
+- `Tamil (ta)`
+- `Telugu (te)`
+
+...
+
+
+### Data Splits
+
+<!-- Below is the dataset split given for `hi` dataset.
+
+```python
+DatasetDict({
+    train: Dataset({
+        features: ['utterance', 'logical form', 'intent'],
+        num_rows: 36000
+    })
+    test: Dataset({
+        features: ['utterance', 'logical form', 'intent'],
+        num_rows: 3000
+    })
+    validation: Dataset({
+        features: ['utterance', 'logical form', 'intent'],
+        num_rows: 1500
+    })
+})
+
+``` -->
+
+
+## Dataset usage
+
+Code snippet for using the dataset using datasets library.
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("Divyanshu/IE_SemParse")
+```
+
+## Dataset Creation
+
+Machine translation of XNLI english dataset to 11 listed Indic Languages.
+
+### Curation Rationale
+
+[More information needed]
+
+### Source Data
+
+[mTOP dataset](https://aclanthology.org/2021.eacl-main.257/)
+
+[multilingualTOP dataset](https://github.com/awslabs/multilingual-top)
+
+[multi-ATIS++ dataset](https://paperswithcode.com/paper/end-to-end-slot-alignment-and-recognition-for)
+
+#### Initial Data Collection and Normalization
+
+[Detailed in the paper](https://arxiv.org/abs/2304.13005)
+
+#### Who are the source language producers?
+
+[Detailed in the paper](https://arxiv.org/abs/2304.13005)
+
+#### Human Verification Process
+
+[Detailed in the paper](https://arxiv.org/abs/2304.13005)
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[Detailed in the paper](https://arxiv.org/abs/2304.13005)
+
+### Discussion of Biases
+
+[Detailed in the paper](https://arxiv.org/abs/2304.13005)
+
+### Other Known Limitations
+
+[Detailed in the paper](https://arxiv.org/abs/2304.13005)
+
+### Dataset Curators
+
+Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan
+
+### Licensing Information
+
+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.
+
+### Citation Information
+
+If you use any of the datasets, models or code modules, please cite the following paper:
+
+```
+@misc{https://doi.org/10.48550/arxiv.2204.08776,
+  doi = {10.48550/ARXIV.2204.08776},
+  
+  url = {https://arxiv.org/abs/2304.13005},
+  
+  author = {Aggarwal, Divyanshu and Gupta, Vivek and Kunchukuttan, Anoop},
+  
+  keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
+  
+  title = {IE-SemParse: Evaluating Multilingual Inference for Indian Languages}, 
+  
+  publisher = {arXiv},
+  
+  year = {2022},
+  
+  copyright = {Creative Commons Attribution 4.0 International}
+}
+```
+
+<!-- ### Contributions -->

.history/README_20230707234739.md

@@ -0,0 +1,203 @@
+---
+annotations_creators:
+- machine-generated
+language_creators:
+- machine-generated
+language:
+- as
+- bn
+- gu
+- hi
+- kn
+- ml
+- mr
+- or
+- pa
+- ta
+- te
+license:
+- cc0-1.0
+multilinguality:
+- multilingual
+pretty_name: IE-SemParse
+size_categories:
+- 1M<n<10M
+source_datasets:
+- original
+task_categories:
+-  text2text-generation
+task_ids:
+- parsing
+---
+
+# Dataset Card for "IE-SemParse"
+
+## Table of Contents
+
+- [Dataset Card for "IE-SemParse"](#dataset-card-for-ie-semparse)
+  - [Table of Contents](#table-of-contents)
+  - [Dataset Description](#dataset-description)
+    - [Dataset Summary](#dataset-summary)
+    - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+    - [Languages](#languages)
+    - [Data Splits](#data-splits)
+  - [Dataset usage](#dataset-usage)
+  - [Dataset Creation](#dataset-creation)
+    - [Curation Rationale](#curation-rationale)
+    - [Source Data](#source-data)
+      - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
+      - [Who are the source language producers?](#who-are-the-source-language-producers)
+      - [Human Verification Process](#human-verification-process)
+  - [Considerations for Using the Data](#considerations-for-using-the-data)
+    - [Social Impact of Dataset](#social-impact-of-dataset)
+    - [Discussion of Biases](#discussion-of-biases)
+    - [Other Known Limitations](#other-known-limitations)
+    - [Dataset Curators](#dataset-curators)
+    - [Licensing Information](#licensing-information)
+    - [Citation Information](#citation-information)
+
+## Dataset Description
+
+- **Homepage:** <https://github.com/divyanshuaggarwal/IE-SemParse>
+- **Paper:** [Evaluating Inter-Bilingual Semantic Parsing for Indian Languages](https://arxiv.org/abs/2304.13005)
+- **Point of Contact:** [Divyanshu Aggarwal](mailto:divyanshuggrwl@gmail.com)
+
+### Dataset Summary
+
+IE-SemParse is an InterBilingual Semantic Parsing Dataset for eleven major Indic languages that includes
+Assamese (‘as’), Gujarat (‘gu’), Kannada (‘kn’),
+Malayalam (‘ml’), Marathi (‘mr’), Odia (‘or’),
+Punjabi (‘pa’), Tamil (‘ta’), Telugu (‘te’), Hindi
+(‘hi’), and Bengali (‘bn’).
+
+### Supported Tasks and Leaderboards
+
+**Tasks:** Natural Language Inference
+
+**Leaderboards:** Currently there is no Leaderboard for this dataset.
+
+### Languages
+
+- `Assamese (as)`
+- `Bengali (bn)`
+- `Gujarati (gu)`
+- `Kannada (kn)`
+- `Hindi (hi)`
+- `Malayalam (ml)`
+- `Marathi (mr)`
+- `Oriya (or)`
+- `Punjabi (pa)`
+- `Tamil (ta)`
+- `Telugu (te)`
+
+...
+
+
+### Data Splits
+
+<!-- Below is the dataset split given for `hi` dataset.
+
+```python
+DatasetDict({
+    train: Dataset({
+        features: ['utterance', 'logical form', 'intent'],
+        num_rows: 36000
+    })
+    test: Dataset({
+        features: ['utterance', 'logical form', 'intent'],
+        num_rows: 3000
+    })
+    validation: Dataset({
+        features: ['utterance', 'logical form', 'intent'],
+        num_rows: 1500
+    })
+})
+
+``` -->
+
+
+## Dataset usage
+
+Code snippet for using the dataset using datasets library.
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("Divyanshu/IE_SemParse")
+```
+
+## Dataset Creation
+
+Machine translation of 3 multilingual semantic Parsing datasets english dataset to 11 listed Indic Languages.
+
+### Curation Rationale
+
+[More information needed]
+
+### Source Data
+
+[mTOP dataset](https://aclanthology.org/2021.eacl-main.257/)
+
+[multilingualTOP dataset](https://github.com/awslabs/multilingual-top)
+
+[multi-ATIS++ dataset](https://paperswithcode.com/paper/end-to-end-slot-alignment-and-recognition-for)
+
+#### Initial Data Collection and Normalization
+
+[Detailed in the paper](https://arxiv.org/abs/2304.13005)
+
+#### Who are the source language producers?
+
+[Detailed in the paper](https://arxiv.org/abs/2304.13005)
+
+#### Human Verification Process
+
+[Detailed in the paper](https://arxiv.org/abs/2304.13005)
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[Detailed in the paper](https://arxiv.org/abs/2304.13005)
+
+### Discussion of Biases
+
+[Detailed in the paper](https://arxiv.org/abs/2304.13005)
+
+### Other Known Limitations
+
+[Detailed in the paper](https://arxiv.org/abs/2304.13005)
+
+### Dataset Curators
+
+Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan
+
+### Licensing Information
+
+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.
+
+### Citation Information
+
+If you use any of the datasets, models or code modules, please cite the following paper:
+
+```
+@misc{https://doi.org/10.48550/arxiv.2204.08776,
+  doi = {10.48550/ARXIV.2204.08776},
+  
+  url = {https://arxiv.org/abs/2304.13005},
+  
+  author = {Aggarwal, Divyanshu and Gupta, Vivek and Kunchukuttan, Anoop},
+  
+  keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
+  
+  title = {IE-SemParse: Evaluating Multilingual Inference for Indian Languages}, 
+  
+  publisher = {arXiv},
+  
+  year = {2022},
+  
+  copyright = {Creative Commons Attribution 4.0 International}
+}
+```
+
+<!-- ### Contributions -->

.history/README_20230707234800.md

@@ -0,0 +1,194 @@
+---
+annotations_creators:
+- machine-generated
+language_creators:
+- machine-generated
+language:
+- as
+- bn
+- gu
+- hi
+- kn
+- ml
+- mr
+- or
+- pa
+- ta
+- te
+license:
+- cc0-1.0
+multilinguality:
+- multilingual
+pretty_name: IE-SemParse
+size_categories:
+- 1M<n<10M
+source_datasets:
+- original
+task_categories:
+-  text2text-generation
+task_ids:
+- parsing
+---
+
+# Dataset Card for "IE-SemParse"
+
+## Table of Contents
+
+- [Dataset Card for "IE-SemParse"](#dataset-card-for-ie-semparse)
+  - [Table of Contents](#table-of-contents)
+  - [Dataset Description](#dataset-description)
+    - [Dataset Summary](#dataset-summary)
+    - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+    - [Languages](#languages)
+    - [Data Splits](#data-splits)
+  - [Dataset usage](#dataset-usage)
+  - [Dataset Creation](#dataset-creation)
+    - [Curation Rationale](#curation-rationale)
+    - [Source Data](#source-data)
+      - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
+      - [Who are the source language producers?](#who-are-the-source-language-producers)
+      - [Human Verification Process](#human-verification-process)
+  - [Considerations for Using the Data](#considerations-for-using-the-data)
+    - [Social Impact of Dataset](#social-impact-of-dataset)
+    - [Discussion of Biases](#discussion-of-biases)
+    - [Other Known Limitations](#other-known-limitations)
+    - [Dataset Curators](#dataset-curators)
+    - [Licensing Information](#licensing-information)
+    - [Citation Information](#citation-information)
+
+## Dataset Description
+
+- **Homepage:** <https://github.com/divyanshuaggarwal/IE-SemParse>
+- **Paper:** [Evaluating Inter-Bilingual Semantic Parsing for Indian Languages](https://arxiv.org/abs/2304.13005)
+- **Point of Contact:** [Divyanshu Aggarwal](mailto:divyanshuggrwl@gmail.com)
+
+### Dataset Summary
+
+IE-SemParse is an InterBilingual Semantic Parsing Dataset for eleven major Indic languages that includes
+Assamese (‘as’), Gujarat (‘gu’), Kannada (‘kn’),
+Malayalam (‘ml’), Marathi (‘mr’), Odia (‘or’),
+Punjabi (‘pa’), Tamil (‘ta’), Telugu (‘te’), Hindi
+(‘hi’), and Bengali (‘bn’).
+
+### Supported Tasks and Leaderboards
+
+**Tasks:** Natural Language Inference
+
+**Leaderboards:** Currently there is no Leaderboard for this dataset.
+
+### Languages
+
+- `Assamese (as)`
+- `Bengali (bn)`
+- `Gujarati (gu)`
+- `Kannada (kn)`
+- `Hindi (hi)`
+- `Malayalam (ml)`
+- `Marathi (mr)`
+- `Oriya (or)`
+- `Punjabi (pa)`
+- `Tamil (ta)`
+- `Telugu (te)`
+
+...
+
+
+### Data Splits
+
+<!-- Below is the dataset split given for `hi` dataset.
+
+```python
+DatasetDict({
+    train: Dataset({
+        features: ['utterance', 'logical form', 'intent'],
+        num_rows: 36000
+    })
+    test: Dataset({
+        features: ['utterance', 'logical form', 'intent'],
+        num_rows: 3000
+    })
+    validation: Dataset({
+        features: ['utterance', 'logical form', 'intent'],
+        num_rows: 1500
+    })
+})
+
+``` -->
+
+
+## Dataset usage
+
+Code snippet for using the dataset using datasets library.
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("Divyanshu/IE_SemParse")
+```
+
+## Dataset Creation
+
+Machine translation of 3 multilingual semantic Parsing datasets english dataset to 11 listed Indic Languages.
+
+### Curation Rationale
+
+[More information needed]
+
+### Source Data
+
+[mTOP dataset](https://aclanthology.org/2021.eacl-main.257/)
+
+[multilingualTOP dataset](https://github.com/awslabs/multilingual-top)
+
+[multi-ATIS++ dataset](https://paperswithcode.com/paper/end-to-end-slot-alignment-and-recognition-for)
+
+#### Initial Data Collection and Normalization
+
+[Detailed in the paper](https://arxiv.org/abs/2304.13005)
+
+#### Who are the source language producers?
+
+[Detailed in the paper](https://arxiv.org/abs/2304.13005)
+
+#### Human Verification Process
+
+[Detailed in the paper](https://arxiv.org/abs/2304.13005)
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[Detailed in the paper](https://arxiv.org/abs/2304.13005)
+
+### Discussion of Biases
+
+[Detailed in the paper](https://arxiv.org/abs/2304.13005)
+
+### Other Known Limitations
+
+[Detailed in the paper](https://arxiv.org/abs/2304.13005)
+
+### Dataset Curators
+
+Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan
+
+### Licensing Information
+
+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.
+
+### Citation Information
+
+If you use any of the datasets, models or code modules, please cite the following paper:
+
+```
+@misc{aggarwal2023evaluating,
+      title={Evaluating Inter-Bilingual Semantic Parsing for Indian Languages}, 
+      author={Divyanshu Aggarwal and Vivek Gupta and Anoop Kunchukuttan},
+      year={2023},
+      eprint={2304.13005},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+```
+
+<!-- ### Contributions -->

README.md

@@ -115,21 +115,6 @@ DatasetDict({
 
 ``` -->
 
-Language      | ISO 639-1 Code |Train | Dev | Test |
---------------|----------------|-------|-----|------|
-Assamese | as | 392,702 | 5,010 | 2,490 |
-Bengali | bn | 392,702 | 5,010 | 2,490 |
-Gujarati | gu |  392,702 | 5,010 | 2,490 |
-Hindi | hi | 392,702 | 5,010 | 2,490 |
-Kannada | kn |  392,702 | 5,010 | 2,490 |
-Malayalam | ml |392,702  | 5,010 | 2,490 |
-Marathi | mr |392,702 | 5,010 | 2,490 |
-Oriya | or | 392,702 | 5,010 | 2,490 |
-Punjabi | pa | 392,702 | 5,010 | 2,490 |
-Tamil | ta | 392,702 | 5,010 | 2,490 |
-Telugu | te | 392,702 | 5,010 | 2,490 |
-
-<!-- The dataset split remains same across all languages. -->
 
 ## Dataset usage
 
@@ -143,7 +128,7 @@ dataset = load_dataset("Divyanshu/IE_SemParse")
 
 ## Dataset Creation
 
-Machine translation of XNLI english dataset to 11 listed Indic Languages.
+Machine translation of 3 multilingual semantic Parsing datasets english dataset to 11 listed Indic Languages.
 
 ### Curation Rationale
 
@@ -152,8 +137,10 @@ Machine translation of XNLI english dataset to 11 listed Indic Languages.
 ### Source Data
 
 [mTOP dataset](https://aclanthology.org/2021.eacl-main.257/)
-[multilingualTOP dataset] (https://github.com/awslabs/multilingual-top)
-[multi-ATIS++ dataset] (https://paperswithcode.com/paper/end-to-end-slot-alignment-and-recognition-for)
+
+[multilingualTOP dataset](https://github.com/awslabs/multilingual-top)
+
+[multi-ATIS++ dataset](https://paperswithcode.com/paper/end-to-end-slot-alignment-and-recognition-for)
 
 #### Initial Data Collection and Normalization
 
@@ -194,22 +181,13 @@ Contents of this repository are restricted to only non-commercial research purpo
 If you use any of the datasets, models or code modules, please cite the following paper:
 
 ```
-@misc{https://doi.org/10.48550/arxiv.2204.08776,
-  doi = {10.48550/ARXIV.2204.08776},
-  
-  url = {https://arxiv.org/abs/2304.13005},
-  
-  author = {Aggarwal, Divyanshu and Gupta, Vivek and Kunchukuttan, Anoop},
-  
-  keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
-  
-  title = {IE-SemParse: Evaluating Multilingual Inference for Indian Languages}, 
-  
-  publisher = {arXiv},
-  
-  year = {2022},
-  
-  copyright = {Creative Commons Attribution 4.0 International}
+@misc{aggarwal2023evaluating,
+      title={Evaluating Inter-Bilingual Semantic Parsing for Indian Languages}, 
+      author={Divyanshu Aggarwal and Vivek Gupta and Anoop Kunchukuttan},
+      year={2023},
+      eprint={2304.13005},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
 }
 ```